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Lv B, Chai X, Deng X, Jiao F, Fang C, Xing B. Recovery of residual carbon from coal gasification fine slag by a combined gravity separation-flotation process. J Environ Manage 2023; 348:119351. [PMID: 37862894 DOI: 10.1016/j.jenvman.2023.119351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 10/03/2023] [Accepted: 10/14/2023] [Indexed: 10/22/2023]
Abstract
Recovering inner residual carbon is important for fully utilizing coal gasification fine slag (CGFS) resources. In this study, we adopted a combined gravity-separation and flotation process to efficiently recover residual carbon by considering the characteristics of the CGFS and optimizing the operating factors of the process. CGFS is principally a mixture of residual carbon and ash, with low-density particles containing more of the former. Accordingly, residual carbon is preliminarily enriched by gravity separation, in which gas velocity (vg) and water velocity (vw) significantly impact separation efficiency, followed by feed volume (m). The residual carbon in the initial concentrate was preliminarily enriched (i.e., loss on ignition (LOI): 55.90%; combustible recovery (Ro): 72.36%) under appropriate operating conditions (i.e., vw = 0.04 m/s, vg = 3 m/s, m = 150 g). Moreover, the quality of the flotation concentrate was most influenced by collector dosage (mc), followed by aeration rate (η), frother dosage (mf), stirring speed (w), and grinding time (t) during flotation of the primary concentrate. The flotation concentrate exhibited LOI and Ro values of 90.95% and 50.34%, respectively, under the optimal flotation conditions (i.e., mc = 20 kg/t, mf = 15 kg/t, w = 2600 rad/min, η = 200 L/h, t = 360 s); it has a high residual carbon content and is an ideal raw material for preparing fuels or carbon materials.
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Affiliation(s)
- Bo Lv
- College of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454000, China; State Key Laboratory of Mineral Processing, Beijing, 100260, China; Henan Key Laboratory of Coal Green Conversion, Henan Polytechnic University, Jiaozuo, 454000, China
| | - Xiaoman Chai
- College of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454000, China
| | - Xiaowei Deng
- College of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454000, China; State Key Laboratory of Mineral Processing, Beijing, 100260, China; Henan Key Laboratory of Coal Green Conversion, Henan Polytechnic University, Jiaozuo, 454000, China; Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Henan Polytechnic University, Jiaozuo, 454000, China.
| | - Feishuo Jiao
- College of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454000, China; State Key Laboratory of Mineral Processing, Beijing, 100260, China
| | - Chaojun Fang
- College of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454000, China; State Key Laboratory of Mineral Processing, Beijing, 100260, China.
| | - Baolin Xing
- College of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, 454000, China; Henan Key Laboratory of Coal Green Conversion, Henan Polytechnic University, Jiaozuo, 454000, China; Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Henan Polytechnic University, Jiaozuo, 454000, China.
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Ye LL, Zhang JW, Yan RJ, Xiang L, Hu YL, Cui J, Tang YX, Chai X, Gao C, Xiao L, Jiang Y, Zhang J, Yang Y. [Association between the awareness of Nutrition Facts Panel and prepackaged food purchase behavior among residents]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1478-1483. [PMID: 36274617 DOI: 10.3760/cma.j.cn112150-20211101-01006] [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: 06/16/2023]
Abstract
Objective: To explore the association between the cognition of Nutrition Facts Panel and prepackaged food purchase behavior among residents in six provinces in China. Methods: Using a multi-stage sampling method, 3 002 adults aged 18-70 were selected from the western region (Sichuan), eastern region (Guangdong, Jiangsu, Beijing), central region (Henan), and northeastern region (Heilongjiang) of China from July 2020 to March 2021. Socio-demographic characteristics of participants and their cognition of Nutrition Facts Panel and prepackaged food purchase behavior were collected through questionnaire. A multivariate binary logistic regression model was used to analyze the association between cognition of Nutrition Facts Panel and prepackaged food purchase behavior. Results: The age of 3 002 subjects was (42.3±13.4) years, among which 63.8% (1 914) were female, 66.7% knew the Nutrition Facts Panel, 49.8% would read it when purchasing, 30.7% could understand it, and 56.6% (1 699) bought prepackaged food more than once a week. The results of multivariate analysis showed that after adjusting for relevant confounding factors, compared with the participants knowing but not reading the Nutrition Facts Panel, the group knowing and reading was more likely to buy 11 types of prepackaged food at least once a week (all P<0.05). Compared with the participants reading but not understanding the Nutrition Facts Panel, the group reading and understanding was less likely to buy 11 types of prepackaged food at least once a week (all P<0.05). Conclusion: There was a correlation between cognition of Nutrition Facts Panel and prepackaged food purchase behavior among residents.
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Affiliation(s)
- L L Ye
- School of Population Medicine and Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 10005, China
| | - J W Zhang
- Shijiazhuang Municipal Bureau of Statistics, Shijiazhuang 050011, China
| | - R J Yan
- School of Population Medicine and Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 10005, China
| | - L Xiang
- School of Population Medicine and Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 10005, China
| | - Y L Hu
- School of Population Medicine and Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 10005, China
| | - J Cui
- School of Population Medicine and Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 10005, China
| | - Y X Tang
- School of Population Medicine and Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 10005, China
| | - X Chai
- School of Population Medicine and Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 10005, China
| | - C Gao
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - L Xiao
- Chinese Health Education Network, Beijing 100020, China
| | - Y Jiang
- Chinese Nutrition Society, Beijing 100022, China
| | - Juan Zhang
- School of Population Medicine and Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 10005, China
| | - Yuexin Yang
- Chinese Nutrition Society, Beijing 100022, China
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Huang L, Bai J, Zong R, Zhou J, Zuo Z, Chai X, Wang Z, An J, Zhuo Y, Boada F, Yu X, Ling Z, Qu B, Pan L, Zhang Z. Sodium MRI at 7T for Early Response Evaluation of Intracranial Tumors following Stereotactic Radiotherapy Using the CyberKnife. AJNR Am J Neuroradiol 2022; 43:181-187. [PMID: 35121584 PMCID: PMC8985677 DOI: 10.3174/ajnr.a7404] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 11/05/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND PURPOSE Conventionally, early treatment response to stereotactic radiotherapy in intracranial tumors is often determined by structural MR imaging. Tissue sodium concentration is altered by cellular integrity and energy status in cells. In this study, we aimed to investigate the feasibility of sodium MR imaging at 7T for the preliminary evaluation of radiotherapeutic efficacy for intracranial tumors. MATERIALS AND METHODS Data were collected from 16 patients (12 men and 4 women, 24-75 years of age) with 22 intracranial tumors who were treated with stereotactic radiation therapy using CyberKnife at our institution between December 1, 2016, and August 15, 2019. Sodium MR imaging was performed at 7T before and 48 hours, 1 week, and 1 month after CyberKnife radiation therapy. Tissue sodium concentration (TSC) was calculated and analyzed based on manually labeled regions of tumors. RESULTS Ultra-high-field sodium MR imaging clearly showed the intratumoral signal, which is significantly higher than that of normal tissue (t = 5.250, P <.001)., but the edema zone has some influence. The average TSC ratios of tumor to CSF in the 22 tumors, contralateral normal tissues, edema zones, frontal cortex, and frontal white matter were 0.66 (range, 0.23-1.5), 0.30 (range, 0.15-0.43), 0.58 (range, 0.25-1.21), 0.25 (range, 0.17-0.42), and 0.30 (range, 0.19-0.49), respectively. A total of 12 tumors in 8 patients were scanned at 48 hours, 1 week, and 1 month after treatment. The average TSC at 48 hours after treatment was 0.06 higher than that before treatment and began to decrease at 1 week. The TSC ratios of 10 continued to decline and 2 tumors increased at 1 month, respectively. Tumor volume decreased by 2.4%-99% after 3 months. CONCLUSIONS Changes in the TSC can be quantified by sodium MR imaging at 7T and used to detect radiobiologic alterations in intracranial tumors at early time points after CyberKnife radiation therapy.
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Affiliation(s)
- L. Huang
- From the Departments of Neurosurgery (L.H., R.Z., J.Z., X.Y., Z.L., L.P.),Department of Neurosurgery (L.H.), The Hospital of 81st Group Army PLA, Zhangjiakou, China
| | - J. Bai
- Radiation Oncology (J.B., B.Q.), The First Medical Center of PLA General Hospital, Beijing, China
| | - R. Zong
- From the Departments of Neurosurgery (L.H., R.Z., J.Z., X.Y., Z.L., L.P.)
| | - J. Zhou
- From the Departments of Neurosurgery (L.H., R.Z., J.Z., X.Y., Z.L., L.P.)
| | - Z. Zuo
- State Key Laboratory of Brain and Cognitive Science (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Institute of Biophysics, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Beijing, China,CAS Center for Excellence in Brain Science and Intelligence Technology (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Chinese Academy of Sciences, Beijing, China
| | - X. Chai
- State Key Laboratory of Brain and Cognitive Science (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Institute of Biophysics, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Beijing, China,CAS Center for Excellence in Brain Science and Intelligence Technology (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Chinese Academy of Sciences, Beijing, China
| | - Z. Wang
- State Key Laboratory of Brain and Cognitive Science (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Institute of Biophysics, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Beijing, China,CAS Center for Excellence in Brain Science and Intelligence Technology (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Chinese Academy of Sciences, Beijing, China
| | - J. An
- Siemens Shenzhen Magnetic Resonance Ltd (J.A.), Shenzhen, China
| | - Y. Zhuo
- State Key Laboratory of Brain and Cognitive Science (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Institute of Biophysics, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Beijing, China,CAS Center for Excellence in Brain Science and Intelligence Technology (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Chinese Academy of Sciences, Beijing, China
| | - F. Boada
- Department of Radiology (F.B.), Center for Advanced Imaging Innovation and Research, New York University Grossman School of Medicine, New York, New York
| | - X. Yu
- From the Departments of Neurosurgery (L.H., R.Z., J.Z., X.Y., Z.L., L.P.)
| | - Z. Ling
- From the Departments of Neurosurgery (L.H., R.Z., J.Z., X.Y., Z.L., L.P.)
| | - B. Qu
- Radiation Oncology (J.B., B.Q.), The First Medical Center of PLA General Hospital, Beijing, China
| | - L. Pan
- From the Departments of Neurosurgery (L.H., R.Z., J.Z., X.Y., Z.L., L.P.)
| | - Z. Zhang
- State Key Laboratory of Brain and Cognitive Science (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Institute of Biophysics, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Beijing, China,CAS Center for Excellence in Brain Science and Intelligence Technology (Z. Zou., X.C., Z.W., Y. Z., Z. Zhang.), Chinese Academy of Sciences, Beijing, China
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Symonds LK, Jenkins I, Linden HM, Kurland B, Gralow JR, Gadi VK, Ellis GK, Wu Q, Rodler E, Chalasani P, Chai X, Riedel J, Stopeck A, Brown-Glaberman U, Specht JM. A Phase II Study Evaluating the Safety and Efficacy of Sunitinib Malate in Combination With Weekly Paclitaxel Followed by Doxorubicin and Daily Oral Cyclophosphamide Plus G-CSF as Neoadjuvant Chemotherapy for Locally Advanced or Inflammatory Breast Cancer. Clin Breast Cancer 2022; 22:32-42. [PMID: 34158245 PMCID: PMC8611115 DOI: 10.1016/j.clbc.2021.05.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 05/01/2021] [Accepted: 05/17/2021] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Neoadjuvant chemotherapy is standard treatment for locally advanced breast cancer (LABC) or inflammatory breast cancer (IBC). We hypothesized that adding sunitinib, a tyrosine kinase inhibitor with antitumor and antiangiogenic activity, to an anthracycline and taxane regimen would improve pathologic complete response (pCR) rates to a prespecified endpoint of 45% in patients with HER2-negative LABC or IBC. METHODS We conducted a multicenter, phase II trial of neoadjuvant sunitinib with paclitaxel (S+T) followed by doxorubicin and cyclophosphamide plus G-CSF for patients with HER2-negative LABC or IBC. Patients received sunitinib 25 mg PO daily with paclitaxel 80 mg/m2 IV weekly ×12 followed by doxorubicin 24 mg/m2 IV weekly + cyclophosphamide 60 mg/m2 PO daily with G-CSF support. Response was evaluated using pCR in the breast and the CPS + EG score (clinical-pathologic scoring + estrogen receptor [ER] and grade). RESULTS Seventy patients enrolled, and 66 were evaluable for efficacy. Eighteen patients (27%) had pCR in the breast (10 had ER+ disease and 8 had triple-negative disease). When defining response as pCR and/or CPS + EG score ≤2, 31 (47%) were responders. In pateints with ER positive disease, 23 (64%) were responders. The most common toxicities were cytopenias and fatigue. CONCLUSIONS Neoadjuvant S+T followed by AC+G-CSF was safe and tolerable in LABC and IBC. The study did not meet the prespecified endpoint for pCR; however, 47% were responders using pCR and/or CPS + EG score ≤2. ER positive patients had the highest response rate (64%). The addition of sunitinib to neoadjuvant chemotherapy may provide promising incremental benefit for patients with ER positive LABC.
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Affiliation(s)
- LK Symonds
- Medical Oncology, University of Washington, Seattle, WA
| | - I Jenkins
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - HM Linden
- Medical Oncology, University of Washington, Seattle, WA,Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - B Kurland
- eResearch Technologies, Inc. (ERT), Pittsburgh, PA
| | - JR Gralow
- Medical Oncology, University of Washington, Seattle, WA,Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - VK Gadi
- Medical Oncology, University of Illinois Cancer Center, Chicago, IL
| | - GK Ellis
- Medical Oncology, University of Washington, Seattle, WA
| | - Q Wu
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - E Rodler
- Hematology and Oncology, UC Davis, Sacramento, CA
| | - P Chalasani
- Hematology and Oncology, University of Arizona Cancer Center, Tucson, AZ
| | | | - J Riedel
- Clinical Cancer Genetics, Duke Cancer Institute, Durham, NC
| | | | - A Stopeck
- Hematology and Oncology, Stony Brook University, Stonybrook, NY
| | | | - JM Specht
- Medical Oncology, University of Washington, Seattle, WA,Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
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Liu C, Li X, Zhao Z, Chi Y, Cui L, Zhang Q, Ping F, Chai X, Jiang Y, Wang O, Li M, Xing X, Xia W. Iron deficiency plays essential roles in the trigger, treatment, and prognosis of autosomal dominant hypophosphatemic rickets. Osteoporos Int 2021; 32:737-745. [PMID: 32995940 DOI: 10.1007/s00198-020-05649-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Accepted: 09/17/2020] [Indexed: 12/19/2022]
Abstract
UNLABELLED By analyzing iron status of 14 ADHR patients, we found that iron deficiency was an important trigger of ADHR. Correcting iron deficiency significantly improved patients' symptoms. Meanwhile, patients' serum phosphate showed positive correlations with iron metabolism parameters and hemoglobin-related parameters, suggesting the necessity of monitoring and correcting the iron status in ADHR. INTRODUCTION Autosomal dominant hypophosphatemic rickets (ADHR) is unique for its incomplete penetrance, variety of disease onsets, and waxing and waning phenotypes. Iron deficiency is a trigger of ADHR. This study aimed to clarify the role of iron deficiency in ADHR. METHODS Data of clinical manifestations and laboratory examinations were collected from patients among eight kindreds with ADHR. Multiple regression and Pearson's correlation tests were performed to test the relationships of serum phosphate levels and other laboratory variables during the patients' follow-ups. RESULTS Among 23 ADHR patients with fibroblast growth factor 23 (FGF23) mutations, 14 patients presented with obvious symptoms. Ten patients had iron deficiency at the onset of ADHR, coinciding with menarche, menorrhagia, pregnancy, and chronic gastrointestinal bleeding. Two patients who did not have their iron status tested presented with symptoms after abortion and pregnancy in one patient each, which suggested that they also had iron deficiency at onset. Patients were treated with ferrous succinate tablets, vitamin C, and neutral phosphate and calcitriol. With correction of the iron status, the patients' symptoms showed notable improvement, with increased serum phosphate levels. Two patients' FGF23 levels also declined to the normal range. There were strong correlations between serum phosphate and serum iron levels (r = 0.7689, p < 0.0001), serum ferritin levels (r = 0.5312, p = 0.002), iron saturation (r = 0.7907, p < 0.0001), and transferrin saturation (r = 0.7875, p < 0.001). We also examined the relationships between serum phosphate levels and hemoglobin-related indices, which were significant (hemoglobin: r = 0.71, p < 0.0001; MCV: r = 0.7589, p < 0.0001; MCH: r = 0.8218, p < 0.0001; and MCHC: r = 0.7751, p < 0.0001). Longitudinal data of six patients' follow-up also showed synchronous changes in serum phosphate with serum iron levels. CONCLUSIONS Iron deficiency plays an important role in triggering ADHR. Monitoring and correcting the iron status are helpful for diagnosing and treating ADHR. Iron metabolism parameters and hemoglobin-related parameters are positively correlated with serum phosphate levels in patients with ADHR and iron deficiency, and these might serve as good indicators of prognosis of ADHR.
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Affiliation(s)
- C Liu
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - X Li
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Z Zhao
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
- Department of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - Y Chi
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - L Cui
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Q Zhang
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - F Ping
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - X Chai
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Y Jiang
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - O Wang
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - M Li
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - X Xing
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - W Xia
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
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Zhang Z, Tariq A, Zeng F, Chai X, Graciano C. Involvement of soluble proteins in growth and metabolic adjustments of drought-stressed Calligonum mongolicum seedlings under nitrogen addition. Plant Biol (Stuttg) 2021; 23:32-43. [PMID: 33012086 DOI: 10.1111/plb.13190] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 09/24/2020] [Indexed: 05/26/2023]
Abstract
The planting of seedlings is the most effective measure for vegetation restoration. However, this practice is challenging in desert ecosystems where water and nutrients are scarce. Calligonum mongolicum is a sand-fixing pioneer shrub species, and its adaptive strategy for nitrogen (N) deposition and drought is poorly understood. Thus, in a pot experiment, we studied the impacts of four N levels (0, 3, 6, 9 gN·m-2 ·year-1 ) under drought or a well-watered regime on multiple eco-physiological responses of 1-year-old C. mongolicum seedlings. Compared to well-watered conditions, drought considerably influenced seedling growth by impairing photosynthesis, osmolyte accumulation and activity of superoxide dismutase and enzymes related to N metabolism. Nitrogen addition improved the productivity of drought-stressed seedlings, as revealed by increased water use efficiency, enhanced superoxide dismutase and nitrite reductase activity and elevated N and phosphorus (P) levels in seedlings. Nevertheless, the addition of moderate to high levels of N (6-9 gN·m-2 ·year-1 ) impaired net photosynthesis, osmolyte accumulation and nitrate reductase activity. N addition and water regimes did not markedly change the N:P ratios of aboveground parts; while more biomass and nutrients were allocated to fine roots to assimilate the insufficient resources. Soluble protein in assimilating shoots might play a vital role in adaptation to the desert environment. The response of C. mongolicum seedlings to N addtion and drought involved an interdependency between soluble protein and morphological, physiological and biochemical processes. These findings provide an important reference for vegetation restoration in arid lands under global change.
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Affiliation(s)
- Z Zhang
- Xinjiang Key Laboratory of Desert Plant Root Ecology and Vegetation Restoration, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele, China
- University of Chinese Academy of Sciences, Beijing, China
| | - A Tariq
- Xinjiang Key Laboratory of Desert Plant Root Ecology and Vegetation Restoration, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele, China
| | - F Zeng
- Xinjiang Key Laboratory of Desert Plant Root Ecology and Vegetation Restoration, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele, China
| | - X Chai
- Xinjiang Key Laboratory of Desert Plant Root Ecology and Vegetation Restoration, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele, China
- University of Chinese Academy of Sciences, Beijing, China
| | - C Graciano
- Instituto de Fisiología Vegetal, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de La Plata, Buenos Aires, Argentina
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Chai X, Yang Y, Wang X, Hao P, Wang L, Wu T, Zhang X, Xu X, Han Z, Wang Y. Spatial variation of the soil bacterial community in major apple producing regions of China. J Appl Microbiol 2020; 130:1294-1306. [PMID: 33012070 DOI: 10.1111/jam.14878] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 09/18/2020] [Accepted: 09/26/2020] [Indexed: 11/26/2022]
Abstract
AIMS In China, apple production areas are largely from the coastal to inland areas and across varied climate zones. However, the relationship among soil micro-organisms, environmental factors and fruit quality has not been clearly confirmed in orchards. Here we attempted to identify the variation of soil bacteria in the main apple producing regions and reveal the relationship among climatic factor, soil properties, soil bacterial community and fruit quality. METHODS AND RESULTS Sixty soil samples were collected from six main apple producing areas in China. We examined the soil bacteria using bacterial 16S rRNA gene amplicon profiling. The results show that the soil bacterial diversity of apple orchards varied from the Bohai Bay Region to the Loess Plateau Region. Proteobacteria, Acidobacteria and Actinobacteria were the predominant taxa at the phylum level for all six areas. In the Bohai Bay and the Loess Plateau region, which are the two largest apple producing areas, Proteobacteria and Actinobacteria had the highest relative abundance, respectively. Furthermore, soil bacterial diversity showed positive correlation with the mean annual temperature (MAT), soil organic matter (SOM) and pH. Excluding a direct effect on the apple fruit quality, MAT exerted an indirect influence through soil SOM and pH to alter the relative abundance of dominant taxa and shift the bacterial diversity, which affects the apple fruit titratable acids and soluble solids. CONCLUSIONS Geographic variables underlie apple orchard soil bacterial communities vary according to spatial scale. Environmental factors exert an indirect effect on apple fruit quality via shaping soil bacterial community. SIGNIFICANCE AND IMPACT OF THE STUDY This study provides a list of bacteria associated with environmental factors and the ecological attributes of their interactions in apple orchards, which will improve our ability to promote soil bacterial functional capabilities in order to reduce the fertilizer input and enhance the fruit quality.
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Affiliation(s)
- X Chai
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture and Rural Affairs, Beijing, P. R. China
| | - Y Yang
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture and Rural Affairs, Beijing, P. R. China
| | - X Wang
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture and Rural Affairs, Beijing, P. R. China
| | - P Hao
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture and Rural Affairs, Beijing, P. R. China
| | - L Wang
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture and Rural Affairs, Beijing, P. R. China
| | - T Wu
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture and Rural Affairs, Beijing, P. R. China
| | - X Zhang
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture and Rural Affairs, Beijing, P. R. China
| | - X Xu
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture and Rural Affairs, Beijing, P. R. China
| | - Z Han
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture and Rural Affairs, Beijing, P. R. China
| | - Y Wang
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture and Rural Affairs, Beijing, P. R. China
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Chai X, Lao D, Fujimoto K, Hamazaki R, Ueda M, Raman C. Magnetic Solitons in a Spin-1 Bose-Einstein Condensate. Phys Rev Lett 2020; 125:030402. [PMID: 32745412 DOI: 10.1103/physrevlett.125.030402] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 05/26/2020] [Indexed: 06/11/2023]
Abstract
Vector solitons are a type of solitary or nonspreading wave packet occurring in a nonlinear medium composed of multiple components. As such, a variety of synthetic systems can be constructed to explore their properties, from nonlinear optics to ultracold atoms, and even in metamaterials. Bose-Einstein condensates have a rich panoply of internal hyperfine levels, or spin components, which make them a unique platform for exploring these solitary waves. However, existing experimental work has focused largely on binary systems confined to the Manakov limit of the nonlinear equations governing the soliton behavior, where quantum magnetism plays no role. Here we observe, using a "magnetic shadowing" technique, a new type of soliton in a spinor Bose-Einstein condensate, one that exists only when the underlying interactions are antiferromagnetic and which is deeply embedded within a full spin-1 quantum system. Our approach opens up a vista for future studies of "solitonic matter" whereby multiple solitons interact with one another at deterministic locations.
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Affiliation(s)
- X Chai
- School of Physics, Georgia Institute of Technology, 837 State Street, Atlanta, Georgia 30332, USA
| | - D Lao
- School of Physics, Georgia Institute of Technology, 837 State Street, Atlanta, Georgia 30332, USA
| | - Kazuya Fujimoto
- Institute for Advanced Research, Nagoya University, Nagoya 464-8601, Japan
- Department of Applied Physics, Nagoya University, Nagoya 464-8603, Japan
| | - Ryusuke Hamazaki
- Department of Physics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Nonequilibrium Quantum Statistical Mechanics RIKEN Hakubi Research Team, RIKEN Cluster for Pioneering Research (CPR), RIKEN iTHEMS, Wako, Saitama 351-0198, Japan
| | - Masahito Ueda
- Department of Physics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Institute for Physics of Intelligence, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- RIKEN Center for Emergent Matter Science (CEMS), Wako, Saitama 351-0198, Japan
| | - C Raman
- School of Physics, Georgia Institute of Technology, 837 State Street, Atlanta, Georgia 30332, USA
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9
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Zhang X, Wang B, Zhang R, Chai X, Chao H. Hypereosinophilia (HE) in acute myeloid leukemia (AML) with normal karyotype: A report of two cases. Niger J Clin Pract 2020; 23:116-119. [PMID: 31929217 DOI: 10.4103/njcp.njcp_585_18] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
We present two rare cases of hypereosinophilia (HE) in acute myeloid leukemia with normal karyotype (NK-AML) at diagnosis. The first case is a 29-year-old female who presented with HE. On evaluation, she was found to have NK-AML. She failed to achieve complete remission (CR) after the first induction therapy with standard idarubicin and cytarabine (IA). She achieved CR after two cycles of reinduction chemotherapy with cytarabine, aclarubicin, and granulocyte colony-stimulating factor (G-CSF) (CAG) but had early relapsed. Reinduction chemotherapy with fludarabine, Ara-C, and G-CSF (FLAG) led to her second remission, followed by unrelated umbilical cord hematopoietic stem cell transplantation (HSCT). Unfortunately, she died of thrombotic thrombocytopenic purpura. The second case is a 23-year-old male who was diagnosed as NK-AML with HE. IA regimen was successively used in two cycles treatment achieving CR. He underwent haploidentical HSCT but had a relapse after 17 months of sustained remission and died 4 months later. The presence of HE may be a poor prognostic feature in NK-AML.
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Affiliation(s)
- X Zhang
- Department of Hematology, Affiliated Changzhou Second Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - B Wang
- Department of Hematology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - R Zhang
- Department of Hematology, The First Affiliated Hospital of Suzhou University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Suzhou, Jiangsu, China
| | - X Chai
- Department of Hematology, Affiliated Changzhou Second Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - H Chao
- Department of Hematology, Affiliated Changzhou Second Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
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10
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Chai X, Xie L, Wang X, Wang H, Zhang J, Han Z, Wu T, Zhang X, Xu X, Wang Y. Apple rootstocks with different phosphorus efficiency exhibit alterations in rhizosphere bacterial structure. J Appl Microbiol 2019; 128:1460-1471. [PMID: 31829487 DOI: 10.1111/jam.14547] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [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: 09/24/2019] [Revised: 11/25/2019] [Accepted: 12/06/2019] [Indexed: 12/01/2022]
Abstract
AIMS The purpose of this study was to select phosphorus-efficient apple rootstocks under phosphorus deficiency and to reveal the effects of different apple rootstocks on the rhizosphere bacterial community. METHODS AND RESULTS We used 83 hybrid lines of Malus robusta Rehd. × Malling 9 (M.9) to investigate their physiological traits and the phosphorus deficiency phenotypes of leaves in response to phosphorus deficiency (0·1 mmol l-1 PO4 3- ). All the plants were cultivated in pots in the greenhouse and watered using drip irrigation. In accordance with the results of investigation, we selected the phosphorus-efficient hybrid lines (PE) and the phosphorus-inefficient hybrid lines (PI) to research their root morphology and root hairs (RH). In addition, we used Illumina MiSeq sequencing to determine the bacterial community of the rhizosphere from different rootstocks. The results showed that the PE plants had better growth characteristics and stronger root plasticity than that of the PI plants, and phosphorus deficiency can stimulate the RH growth of PE plants. There was no significant difference in the rhizosphere bacterial diversity, but we found that the bacterial community structure was significantly different at the genus levels; in addition, 89 genera were found to have significant differences between PE and PI plants, especially Bacillus. The PE rhizosphere had more abundant Bacillus compared to the PI. High positive Pearson correlations with the phosphorus concentration in the plantlets of apple rootstocks were detected for the bacterial genera Bacillus (r: 0·776). CONCLUSIONS The phosphorus-efficient apple rootstocks adapted to phosphorus deficiency by shaping the root morphology. Notably, different apple rootstocks showed alteration of the microbes in rhizosphere. SIGNIFICANCE AND IMPACT OF THE STUDY This study can provide the materials for exploring the mechanism of apple rootstock phosphorus absorption. In accordance with the different bacterial community compositions, we can develop the inoculants to promote nutrient uptake.
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Affiliation(s)
- X Chai
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture, China Agricultural University, Beijing, P. R. China
| | - L Xie
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture, China Agricultural University, Beijing, P. R. China
| | - X Wang
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture, China Agricultural University, Beijing, P. R. China
| | - H Wang
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture, China Agricultural University, Beijing, P. R. China
| | - J Zhang
- Plant Science and Technology College, Beijing University of Agriculture, Beijing, P. R. China
| | - Z Han
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture, China Agricultural University, Beijing, P. R. China
| | - T Wu
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture, China Agricultural University, Beijing, P. R. China
| | - X Zhang
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture, China Agricultural University, Beijing, P. R. China
| | - X Xu
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture, China Agricultural University, Beijing, P. R. China
| | - Y Wang
- College of Horticulture, China Agricultural University, Beijing, P. R. China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), the Ministry of Agriculture, China Agricultural University, Beijing, P. R. China
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11
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Liu J, Shao D, Cheng S, Guo F, Yuan Y, Hu K, Wang Z, Meng X, Jin X, Yun X, Chai X, Li H, Zhang Y, Zhang H, Ye M. Frequency of mutations in 21 hereditary breast and ovarian cancer susceptibility genes among 882 high-risk individuals. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz250.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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12
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Qin MM, Chai X, Huang HB, Feng G, Li XN, Zhang J, Zheng R, Liu XC, Pu C. let-7i inhibits proliferation and migration of bladder cancer cells by targeting HMGA1. BMC Urol 2019; 19:53. [PMID: 31196036 PMCID: PMC6567622 DOI: 10.1186/s12894-019-0485-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 06/03/2019] [Indexed: 12/20/2022] Open
Abstract
Background Let-7 is one of the earliest discovered microRNAs(miRNAs) and has been reported to be down-regulated in multiple malignant tumors. The effects and molecular mechanisms of let-7i in bladder cancer are still unclear. This study was to investigate the effects and potential mechanisms of let-7i on bladder cancer cells. Methods Total RNA was extracted from bladder cancer cell lines. The expression levels of let-7i and HMGA1 were examined by quantitative real-time PCR. Cell viability was detected using the CCK-8 and colony formation assays, while transwell and wound healing assays were used to evaluate migration ability. Luciferase reporter assay and western blot were used to confirm the target gene of let-7i. Results Compared with the SV-40 immortalized human uroepithelial cell line (SV-HUC-1), bladder cancer cell lines T24 and 5637 had low levels of let-7i expression, but high levels of high mobility group protein A1 (HMGA1) expression. Transfection of cell lines T24 and 5637 with let-7i mimic suppressed cell proliferation and migration. Luciferase reporter assay confirmed HMGA1 may be one of the target genes of let-7i-5p. Protein and mRNA expression of HMGA1 was significantly downregulated in let-7i mimic transfected cell lines T24 and 5637. Conclusions Up-regulation of let-7i suppressed proliferation and migration of the human bladder cancer cell lines T24 and 5637 by targeting HMGA1. These findings suggest that let-7i might be considered as a novel therapeutic target for bladder cancer.
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Affiliation(s)
- M-M Qin
- Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, No.2, West Zheshan Road, Wuhu, 241001, Anhui, China
| | - X Chai
- Department of Urology, The First Affiliated Hospital of Wannan Medical College, Wuhu, 241001, Anhui, China
| | - H-B Huang
- Department of Urology, The First Affiliated Hospital of Wannan Medical College, Wuhu, 241001, Anhui, China
| | - G Feng
- Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, No.2, West Zheshan Road, Wuhu, 241001, Anhui, China
| | - X-N Li
- Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, No.2, West Zheshan Road, Wuhu, 241001, Anhui, China
| | - J Zhang
- Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, No.2, West Zheshan Road, Wuhu, 241001, Anhui, China
| | - R Zheng
- Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, No.2, West Zheshan Road, Wuhu, 241001, Anhui, China
| | - X-C Liu
- Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, No.2, West Zheshan Road, Wuhu, 241001, Anhui, China
| | - C Pu
- Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, No.2, West Zheshan Road, Wuhu, 241001, Anhui, China.
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13
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Chai X, Wang L, Yang Y, Xie L, Zhang J, Wu T, Zhang X, Xu X, Wang Y, Han Z. Apple rootstocks of different nitrogen tolerance affect the rhizosphere bacterial community composition. J Appl Microbiol 2018; 126:595-607. [PMID: 30282124 DOI: 10.1111/jam.14121] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 09/20/2018] [Accepted: 09/25/2018] [Indexed: 11/27/2022]
Abstract
AIMS To select apple rootstocks that are tolerant to low nitrogen and reveal the relationship between the rhizosphere bacterial communities and the low nitrogen tolerance of the apple rootstock. METHODS AND RESULTS In total, 235 lines of hybrids of Malus robusta Rehd. × M.9 with low nitrogen stress were cultivated in pots in a greenhouse equipped with a drip irrigation system, and growth characteristics, photosynthesis traits and mineral elements were monitored. The bacterial community structure of the rhizosphere from different rootstocks was determined via Illumina MiSeq sequencing. This study selected three low nitrogen-tolerant (NT) lines that had higher nitrogen concentration, and higher photosynthesis rate than the three low nitrogen-sensitive (NS) lines. The bacterial community structure significantly differed (P ≤ 0·001) among the rootstocks. The bacterial phyla Proteobacteria and Actinobacteria were the dominant groups in the rhizosphere and presented higher abundance in the NT rhizosphere. The N concentration in the apple rootstocks exhibited highly positive Pearson correlations with the bacterial genera Sphingomonas, Pseudoxanthomonas, Bacillus and Acinetobacter, and negative correlations with the bacterial genera Pseudarthrobacter and Bradyrhizobium. CONCLUSIONS This study showed that investigated rootstocks achieved increased nitrogen concentration by enhancing their photosynthetic production capacity and shaping their rhizobacteria community structure. SIGNIFICANCE AND IMPACT OF THE STUDY The findings provide a basis for studying the mechanisms of resistance to low nitrogen stress in apple rootstocks. Based on these beneficial bacteria, microbial inoculants can be developed for use in sustainable agricultural and horticultural production.
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Affiliation(s)
- X Chai
- College of Horticulture, China Agricultural University, Beijing, China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), The Ministry of Agriculture, China Agricultural University, Beijing, China
| | - L Wang
- College of Horticulture, China Agricultural University, Beijing, China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), The Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Y Yang
- College of Horticulture, China Agricultural University, Beijing, China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), The Ministry of Agriculture, China Agricultural University, Beijing, China
| | - L Xie
- College of Horticulture, China Agricultural University, Beijing, China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), The Ministry of Agriculture, China Agricultural University, Beijing, China
| | - J Zhang
- Plant Science and Technology College, Beijing University of Agriculture, Beijing, China
| | - T Wu
- College of Horticulture, China Agricultural University, Beijing, China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), The Ministry of Agriculture, China Agricultural University, Beijing, China
| | - X Zhang
- College of Horticulture, China Agricultural University, Beijing, China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), The Ministry of Agriculture, China Agricultural University, Beijing, China
| | - X Xu
- College of Horticulture, China Agricultural University, Beijing, China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), The Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Y Wang
- College of Horticulture, China Agricultural University, Beijing, China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), The Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Z Han
- College of Horticulture, China Agricultural University, Beijing, China.,Key Laboratory of Biology and Genetic Improvement of Horticultural (Nutrition and Physiology), The Ministry of Agriculture, China Agricultural University, Beijing, China
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14
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Chai X, Ropagnol X, Ovchinnikov A, Chefonov O, Ushakov A, Garcia-Rosas CM, Isgandarov E, Agranat M, Ozaki T, Savel'ev A. Observation of crossover from intraband to interband nonlinear terahertz optics. Opt Lett 2018; 43:5463-5466. [PMID: 30383033 DOI: 10.1364/ol.43.005463] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 10/11/2018] [Indexed: 06/08/2023]
Abstract
In this Letter, we investigate the nonlinear effects of extremely intense few-cycle terahertz (THz) pulses (generated from the organic crystal 4-NN, NN-dimethylamino-4'4'-N'N'-methyl-stilbazolium 2, 4, 6 trimethylbenzenesulfonate, with peak electrical fields of a few MV/cm) on the carrier dynamics in n-doped semiconductor thin film In0.53Ga0.47As. By performing open-aperture Z-scan measurements and recording the transmitted THz energy through semiconductor sample, we observed a strong THz absorption bleaching effect at high fields, followed by an absorption enhancement at even higher fields. We attribute our observations to a crossover from pure intraband carrier dynamics to an interplay between intraband carrier heating and interband carrier generations.
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15
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Chefonov O, Ovchinnikov A, Agranat M, Fortov V, Efimenko E, Stepanov A, Ozaki T, Chai X, Ropagnol X, Ushakov A, Savel’ev A. Nonlinear Transfer of Intense Few Cycle Terahertz Pulse Through Opaque Semiconductors. EPJ Web Conf 2018. [DOI: 10.1051/epjconf/201819507007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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16
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Chefonov OV, Ovchinnikov AV, Romashevskiy SA, Chai X, Ozaki T, Savel'ev AB, Agranat MB, Fortov VE. Giant self-induced transparency of intense few-cycle terahertz pulses in n-doped silicon. Opt Lett 2017; 42:4889-4892. [PMID: 29216136 DOI: 10.1364/ol.42.004889] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Accepted: 10/31/2017] [Indexed: 06/07/2023]
Abstract
The results of high-field terahertz transmission experiments on n-doped silicon (carrier concentration of 8.7×1016 cm-3) are presented. We use terahertz pulses with electric field strengths up to 3.1 MV cm-1 and a pulse duration of 700 fs. A huge transmittance enhancement of ∼90 times is observed with increasing of the terahertz electric field strengths within the range of 1.5-3.1 MV cm-1.
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17
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Wang D, Yang X, Chai X, Fang J, Zhang X. HLA-A*24:388N: a novel HLA-A*24 allele identified by sequence-based typing. HLA 2017; 90:364-365. [PMID: 28963760 DOI: 10.1111/tan.13149] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [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: 09/11/2017] [Revised: 09/20/2017] [Accepted: 09/26/2017] [Indexed: 11/29/2022]
Abstract
The novel allele, A*24:388N, was identified by sequence-based typing in a Chinese individual.
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Affiliation(s)
- D Wang
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China.,BGI-Shenzhen, Shenzhen, China
| | - X Yang
- BGI-Shenzhen, Shenzhen, China
| | - X Chai
- BGI-Shenzhen, Shenzhen, China
| | - J Fang
- BGI-Shenzhen, Shenzhen, China
| | - X Zhang
- BGI-Shenzhen, Shenzhen, China
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18
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Chai X, Zhang H, Yang X, Yang F, Liu N. Identification of 400 novel alleles at the HLA-A, -B, -C, -DRB1, -DQB1 loci from China Marrow Donor Program. HLA 2017. [DOI: 10.1111/tan.13071] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- X. Chai
- BGI Shenzhen; Shenzhen China
| | | | - X. Yang
- BGI Shenzhen; Shenzhen China
| | - F. Yang
- BGI Shenzhen; Shenzhen China
| | - N. Liu
- BGI Shenzhen; Shenzhen China
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19
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Liu X, Sun C, Wang Z, Chai X, Xiong J, Yang Y, Cheng X. Preliminary study to improve the performance of SCWR-M during loss-of-flow accident. Nuclear Engineering and Design 2016. [DOI: 10.1016/j.nucengdes.2016.07.030] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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20
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Specht JM, Partridge S, Chai X, Novakova A, Peterson L, Shields A, Guenthoer J, Linden HM, Gralow JR, Gadi V, Korde L, Hills D, Hsu L, Hockenbery DM, Kinahan P, Mankoff DA, Porter PL. Abstract P5-01-02: Multimodality molecular imaging with dynamic 18F-fluorodeoxyglucose positron emission tomography (FDG PET) and MRI to evaluate response and resistance to neoadjuvant chemotherapy (NAC). Cancer Res 2016. [DOI: 10.1158/1538-7445.sabcs15-p5-01-02] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Using quantitative FDG PET to measure glucose metabolism and perfusion, and dynamic contrast-enhanced (DCE) MRI to measure perfusion, we previously identified a metabolic signature for breast cancer resistant to NAC. This imaging signature is (1) persistent or increased tumor perfusion despite treatment, (2) an altered pattern of glucose kinetics in response to therapy, and (3) pre-therapy mismatch between tumor metabolism (MRFDG) and glucose delivery (K1) (high ratio of MRFDG/K1). These patterns predict poor response, early relapse and death independent of established prognostic factors, including pathologic response. Identification of factors associated with resistance or response to therapy is the translational goal of "Quantitative Dynamic PET and MRI in Breast Cancer Therapy," part of the Seattle Breast SPORE (1P50CA138293).
Methods: Patients (Pts) undergoing NAC for histologically confirmed breast cancer (stage II-III) were approached for this trial (CCIRB# 7587). FDG PET and DCE-MRI were obtained pre-therapy, 2-12 weeks after start of NAC (mid-therapy) and after completion of NAC. Breast biopsies were obtained pre-therapy and post-NAC. FDG PET included a dynamic scan with kinetic analysis. PET measures included SUVmax, MRFDG, K1, Ki, and Patlak. 3T DCE-MRI measurements included semi-quantitative vascular parameters of peak enhancement (PE), signal enhancement ratio (SER), washout fraction, functional tumor volume, and apparent diffusion coefficient (ADC) from diffusion-weighted MRI (DWI). Breast biopsies were assayed by immunohistochemistry and gene expression profiling. NAC was per physician's choice with most pts receiving weekly paclitaxel (with trastuzumab if HER2+) followed by doxorubicin/cyclophosphamide.
Results: 32 pts have completed the study. Pathologic complete response (pCR), defined as absence of invasive cancer in the breast, was observed in 9 (28%); near pCR defined as only microscopic residual invasive cancer in 3 (9%) more pts. Mid-therapy decline in SUVmax and K1 was associated with near pCR; (p-value 0.06, 0.04, respectively). Pre-therapy PET measures of MRFDG and K1 were not predictive of pCR. On MRI, pre-therapy PE (p=0.009), SER (p=0.01), washout fraction (p=0.02), ADC (p=0.08, trend) and mid-therapy change in volume (p=0.05) were each predictive of pCR. Gene profiling of pre-therapy biopsies showed correlation between high MRFDG/K1 ratio in basal and luminal B tumors.
Conclusions: Assessment of serial changes in tumor metabolism and perfusion by FDG PET and DCE-MRI is feasible in the clinic. Mid-therapy decline in metabolism and glucose delivery was predictive of pCR; consistent with prior retrospective series. Baseline DCE-MRI and DWI measures show promise to predict response, and associations of mid-therapy change in MR functional tumor volume with pCR agree with findings of another multisite clinical trial (ISPY). These imaging parameters may serve as useful biomarkers to inform future neoadjuvant trials. Integration of imaging data with gene expression profiling revealed that the pattern of metabolism in luminal B tumors was closer to that of the basal subtype compared to other ER-positive tumors.
Citation Format: Specht JM, Partridge S, Chai X, Novakova A, Peterson L, Shields A, Guenthoer J, Linden HM, Gralow JR, Gadi V, Korde L, Hills D, Hsu L, Hockenbery DM, Kinahan P, Mankoff DA, Porter PL. Multimodality molecular imaging with dynamic 18F-fluorodeoxyglucose positron emission tomography (FDG PET) and MRI to evaluate response and resistance to neoadjuvant chemotherapy (NAC). [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P5-01-02.
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Affiliation(s)
- JM Specht
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - S Partridge
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - X Chai
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - A Novakova
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - L Peterson
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - A Shields
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - J Guenthoer
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - HM Linden
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - JR Gralow
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - V Gadi
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - L Korde
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - D Hills
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - L Hsu
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - DM Hockenbery
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - P Kinahan
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - DA Mankoff
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
| | - PL Porter
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Bassett Cancer Institute, Cooperstown, NY; University of Pennsylvania, Philadelphia, PA
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21
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Yuan A, Chai X, Martins F, Arai S, Arora M, Correa ME, Pidala J, Cutler CS, Lee SJ, Treister NS. Oral chronic GVHD outcomes and resource utilization: a subanalysis from the chronic GVHD consortium. Oral Dis 2015; 22:235-40. [PMID: 26708609 DOI: 10.1111/odi.12429] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [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: 09/02/2015] [Revised: 11/25/2015] [Accepted: 12/16/2015] [Indexed: 01/03/2023]
Abstract
OBJECTIVES This study evaluated the extent to which oral chronic graft-versus-host disease (cGVHD) consensus assessments are predictive of management across institutions with and without oral medicine (OM) centers, and whether ancillary care guidelines are followed within clinical practice. METHODS Longitudinal oral cGVHD data were abstracted from the cGVHD Consortium, and additional mouth-specific management data were analyzed across five transplant centers. RESULTS Seventy-nine patients with 656 visits were observed for a median of 7.1 months with one visit per follow-up month. Ancillary therapies for oral cGVHD were prescribed for 67% of patients for a median of 0.46 months (per follow-up month) at OM centers and 0.78 months at non-OM centers. Patients treated with ancillary therapy were more likely to have an National Institutes of Health (NIH) mouth score of ≥1 (P < 0.001, odds ratio: 5.1) and mouth pain (P = 0.01, odds ratio: 2.6). The odds ratios of receiving ancillary therapy from OM experts were higher than transplant physicians (53%; P = 0.03). CONCLUSIONS Oral cGVHD consensus assessments corresponding with ancillary therapy use were mouth pain and NIH mouth score, with higher odds ratios of receiving therapy from OM experts. Ancillary care guidelines for oral cGVHD are reflected in academic clinical practice with respect to utilization of recommended prescriptions.
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Affiliation(s)
- A Yuan
- Division of Oral Medicine, Brigham and Women's Hospital, Boston, MA, USA.,Department of Oral Medicine, Infection and Immunity, Harvard School of Dental Medicine, Boston, MA, USA
| | - X Chai
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - F Martins
- Department of Oral Pathology and Oral Diagnosis, University of São Paulo School of Dentistry, São Paulo, Brazil
| | - S Arai
- Division of Blood and Marrow Transplantation, Stanford University Medical Center, Stanford, CA, USA
| | - M Arora
- Department of Medicine, University of Minnesota, Boston, MA, USA
| | - M E Correa
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Oral Medicine Ambulatory, Bone Marrow Transplantation Unit, Hematology and Blood Transfusion Center, State University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - J Pidala
- Department of Blood and Marrow Transplantation, Moffitt Cancer Center, Tampa, FL, USA
| | - C S Cutler
- Division of Hematologic Malignancies, Dana-Farber Cancer Institute, Boston, MA, USA
| | - S J Lee
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - N S Treister
- Division of Oral Medicine, Brigham and Women's Hospital, Boston, MA, USA.,Department of Oral Medicine, Infection and Immunity, Harvard School of Dental Medicine, Boston, MA, USA
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22
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Ma Y, Zhu F, Abidin Z, Pang F, Li S, Abd-Alhameed R, See C, Fan J, Liu L, Chai X, Jin C, Peng B. Vivaldi antenna with balun feed for SKA feeding system in UWB. 2015 1st URSI Atlantic Radio Science Conference (URSI AT-RASC) 2015. [DOI: 10.1109/ursi-at-rasc.2015.7303191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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23
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Lin Q, Fang B, Huang H, Yu F, Chai X, Zhang Y, Zhou J, Xia Q, Li Y, Song Y. Efficacy of bortezomib and thalidomide in the recrudescent form of multicentric mixed-type Castleman's disease. Blood Cancer J 2015; 5:e298. [PMID: 25794134 PMCID: PMC4382655 DOI: 10.1038/bcj.2015.12] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Affiliation(s)
- Q Lin
- Henan Key Lab of Experimental Haematology, Henan Institute of Haematology, Henan Cancer Hospital affiliated to Zhengzhou University, Zhengzhou, China
| | - B Fang
- Henan Key Lab of Experimental Haematology, Henan Institute of Haematology, Henan Cancer Hospital affiliated to Zhengzhou University, Zhengzhou, China
| | - H Huang
- Henan Key Lab of Experimental Haematology, Henan Institute of Haematology, Henan Cancer Hospital affiliated to Zhengzhou University, Zhengzhou, China
| | - F Yu
- Henan Key Lab of Experimental Haematology, Henan Institute of Haematology, Henan Cancer Hospital affiliated to Zhengzhou University, Zhengzhou, China
| | - X Chai
- Henan Key Lab of Experimental Haematology, Henan Institute of Haematology, Henan Cancer Hospital affiliated to Zhengzhou University, Zhengzhou, China
| | - Y Zhang
- Henan Key Lab of Experimental Haematology, Henan Institute of Haematology, Henan Cancer Hospital affiliated to Zhengzhou University, Zhengzhou, China
| | - J Zhou
- Henan Key Lab of Experimental Haematology, Henan Institute of Haematology, Henan Cancer Hospital affiliated to Zhengzhou University, Zhengzhou, China
| | - Q Xia
- Henan Key Lab of Experimental Haematology, Henan Institute of Haematology, Henan Cancer Hospital affiliated to Zhengzhou University, Zhengzhou, China
| | - Y Li
- Henan Key Lab of Experimental Haematology, Henan Institute of Haematology, Henan Cancer Hospital affiliated to Zhengzhou University, Zhengzhou, China
| | - Y Song
- Henan Key Lab of Experimental Haematology, Henan Institute of Haematology, Henan Cancer Hospital affiliated to Zhengzhou University, Zhengzhou, China
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Xiong W, Yan R, Liu Y, Peng S, Jiang Z, Chai X, Qi A, Wang Y. Establishment and validation of quantitative analysis of multi-components by single-marker for quality assessment of compound danshen preparations. ACTA CHROMATOGR 2014. [DOI: 10.1556/achrom.26.2014.4.11] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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25
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Zhou M, Gao D, Chai X, Liu J, Lan Z, Liu Q, Yang F, Guo Y, Fang J, Yang L, Du D, Chen L, Yang X, Zhang M, Zeng H, Lu J, Chen H, Zhang X, Wu S, Han Y, Tan J, Cheng Z, Huang C, Wang W. Application of high-throughput, high-resolution and cost-effective next generation sequencing-based large-scale HLA typing in donor registry. ACTA ACUST UNITED AC 2014; 85:20-8. [DOI: 10.1111/tan.12477] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Revised: 08/26/2014] [Accepted: 10/15/2014] [Indexed: 12/31/2022]
Affiliation(s)
- M. Zhou
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - D. Gao
- China Marrow Donor Program; Beijing China
| | - X. Chai
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - J. Liu
- China Marrow Donor Program; Beijing China
| | - Z. Lan
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - Q. Liu
- China Marrow Donor Program; Beijing China
| | - F. Yang
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - Y. Guo
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - J. Fang
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - L. Yang
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - D. Du
- China Marrow Donor Program; Beijing China
| | - L. Chen
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - X. Yang
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - M. Zhang
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - H. Zeng
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - J. Lu
- China Marrow Donor Program; Beijing China
| | - H. Chen
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - X. Zhang
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - S. Wu
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - Y. Han
- China Marrow Donor Program; Beijing China
| | - J. Tan
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - Z. Cheng
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - C. Huang
- BGI Diagnosis Co., Ltd; Shenzhen China
| | - W. Wang
- BGI Diagnosis Co., Ltd; Shenzhen China
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26
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Chai X, Liu L, Xing L. SU-D-BRD-02: A Web-Based Image Processing and Plan Evaluation Platform (WIPPEP) for Future Cloud-Based Radiotherapy. Med Phys 2014. [DOI: 10.1118/1.4887881] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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27
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Chai X, Liu L, Xing L. TU-F-BRD-01: Automatic Segmentation of Multiple Pelvic Organs On a Web-Based Image Processing and Plan Evaluation Platform (WIPPEP). Med Phys 2014. [DOI: 10.1118/1.4889319] [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: 11/07/2022] Open
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28
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van de Schoot AJAJ, Schooneveldt G, Wognum S, Hoogeman MS, Chai X, Stalpers LJA, Rasch CRN, Bel A. Generic method for automatic bladder segmentation on cone beam CT using a patient-specific bladder shape model. Med Phys 2014; 41:031707. [DOI: 10.1118/1.4865762] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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29
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Linden HM, Kurland BF, Link JM, Novakova A, Chai X, Specht JM, Gadi VK, Gralow JR, Schubert EK, Peterson LM, Eary J, Shields A, Mankoff DA, Krohn KA. Abstract P4-01-03: HDACi (vorinostat) in metastatic breast cancer to restore sensitivity to ER-directed (AI) therapy: A phase II clinical trial with FES imaging correlates. Cancer Res 2013. [DOI: 10.1158/0008-5472.sabcs13-p4-01-03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Histone deacetylase inhibitors (HDACi) have shown pre-clinical promise in estrogen receptor(ER)-modulation and restoring sensitivity to endocrine manipulation, suggesting potential clinical benefit (Sabnis 2011) (Huang 2000) in ER+ breast cancer. Vorinostat is an FDA-approved HDACi for CTCL, and could have a beneficial role in restoring ER-signaling in endocrine-resistant tumors (Munster 2011) (Yardley 2011). [F-18]fluoroestradiol (FES) PET imaging may be used to monitor regional tumor ER expression in patients with breast cancer (Linden 2011).
Methods: Patients with metastatic breast cancer with prior clinical benefit from endocrine manipulation who progressed on an AI therapy are eligible for this ongoing trial. In part A, patients were given vorinostat for 2 weeks, then resumed AI for 6 W. In part B (reflecting results of prior HDACi trials) patients are given vorinostat 400mg po daily 5/7 days 3/4 weeks while AI is given continuously. Paired FES and FDG PET are performed at baseline, week 2 and 8; clinical/radiologic assessment of disease is also performed at week 8. Patients with clinical benefit (response or stable disease) may continue on treatment until progressive disease or study withdrawal. Lesion-level analysis of the association between baseline FES uptake (logged) and FES/FDG ratio used generalized estimating equations (GEE) with small-sample adjustments to standard errors.
Results: 12/ 20 planned patients have accrued, and the treatment is well tolerated. Enrolled women were postmenopausal, the majority with primary infiltrating ductal tumors, bone/soft tissue dominant with longstanding metastatic disease, exposed to multiple endocrine and chemotherapy regimens. Five patients have had clinical benefit (2/4 on part B with greater HDACi exposure). One patient withdrew from the study due to toxicity. FES and FDG uptake was analyzed in 42 lesions in 11 patients. Average FES uptake was 2.0 (SULmean) for patients with clinical benefit, and 1.2 in patients with progressive disease by 8 weeks (p = 0.09). FES/FDG ratio at baseline was also associated with response (p = 0.04).
Conclusions: HDACi therapy is promising in relapsed ER+ breast cancer. Imaging of metabolic pathways in parallel with clinical trials may accelerate understanding of the underlying tumor biology and refine treatment selection.
Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P4-01-03.
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Affiliation(s)
- HM Linden
- University of Washington, Seattle, WA; Fred Hutchison Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - BF Kurland
- University of Washington, Seattle, WA; Fred Hutchison Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - JM Link
- University of Washington, Seattle, WA; Fred Hutchison Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - A Novakova
- University of Washington, Seattle, WA; Fred Hutchison Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - X Chai
- University of Washington, Seattle, WA; Fred Hutchison Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - JM Specht
- University of Washington, Seattle, WA; Fred Hutchison Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - VK Gadi
- University of Washington, Seattle, WA; Fred Hutchison Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - JR Gralow
- University of Washington, Seattle, WA; Fred Hutchison Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - EK Schubert
- University of Washington, Seattle, WA; Fred Hutchison Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - LM Peterson
- University of Washington, Seattle, WA; Fred Hutchison Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - J Eary
- University of Washington, Seattle, WA; Fred Hutchison Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - A Shields
- University of Washington, Seattle, WA; Fred Hutchison Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - DA Mankoff
- University of Washington, Seattle, WA; Fred Hutchison Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - KA Krohn
- University of Washington, Seattle, WA; Fred Hutchison Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
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Linden HM, Kurland BF, Link JM, Novakova A, Chai X, Gadi VK, Specht JM, Hills D, Gralow JR, Schubert EK, Korde L, Peterson LM, Doot R, Eary J, Shields A, Krohn KA, Mankoff DA. Abstract P4-01-02: The role of FLT PET early assessment of response to endocrine therapy for early stage breast cancer. Cancer Res 2013. [DOI: 10.1158/0008-5472.sabcs13-p4-01-02] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: In estrogen receptor positive (ER+) tumors, a low proliferative index (Ki-67) two weeks into endocrine therapy predicts response. FLT PET non-invasively measures tumor proliferation in vivo. The pre-operative window is an opportunity to assess impact of systemic therapies. We tested associations between FLT PET qualitative and quantitative measures and Ki-67 following two weeks of aromatase inhibitor (AI) therapy.
Methods: Women with clinical stage I-II ER+ HER2– breast cancer underwent “run-in” of AI monotherapy prior to definitive surgery. Premenopausal women were given GNRH agonist treatment 2 W prior to AI therapy. FLT PET was performed before AI therapy, and 1-7 days before surgery. Ki-67 was measured in baseline core biopsy and surgical specimens.
Results: Fourteen patients (8 postmenopausal, 6 premenopausal) have been enrolled. All have undergone baseline FLT PET imaging; 11 have completed imaging and surgery, including one premenopausal patient with no residual invasive carcinoma following 26 days of AI therapy. The majority harbored ductal carcinomas (n = 9, 5 with lobular histology) with the majority histologic grade ≥ 2 (n = 11). The median number of days exposed to AI was 19 (range, 9-42). Baseline SUVmax ranged from 1.2 to 3.9 (median 2.2), and post run-in SUV (6-64 days later) ranged from 1.2 to 2.8 (median 1.8). Baseline Ki-67 ranged from 6-26.2, median 11.6; surgical Ki-67 post AI therapy ranged from 0- 20.3 median 3.7, with seven below 5%. SUV and flux declined in most patients, as did Ki-67.
Quantitative FLT flux correlated with tumor response assessed by proliferative index (Ki-67) before the “run-in” period, with a stronger correlation at surgery, Pearson correlation coefficients = 0.41 and 0.82, respectively. FLT SUV and qualitative changes were not strongly associated with Ki-67.
Conclusions: Both pre and postmenopausal women with early stage breast cancer showed imaging and tissue response to endocrine therapy. Quantitative, but not qualitative FLT is a promising tool to assess tumor proliferation and response to therapy. Accrual is ongoing and updated results will be reported.
Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P4-01-02.
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Affiliation(s)
- HM Linden
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - BF Kurland
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - JM Link
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - A Novakova
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - X Chai
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - VK Gadi
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - JM Specht
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - D Hills
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - JR Gralow
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - EK Schubert
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - L Korde
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - LM Peterson
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - R Doot
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - J Eary
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - A Shields
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - KA Krohn
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
| | - DA Mankoff
- University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA; Seattle Cancer Care Alliance, Seattle, WA; University of Pennsylvania, Philadelphia, PA; University of Pittsburgh, Pittsburgh, PA
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Chai X, Lin Q, Ruan Z, Zheng J, Zhou J, Zhang J. The clinical application of absorbable intramedullary nail and claw plate on treating multiple rib fractures. MINERVA CHIR 2013; 68:415-420. [PMID: 23764613] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
AIM The absorption intramedullary nail and claw plate indications and efficacy were investigated in the treatment of a life-threatening multiple rib fractures. METHODS A retrospective analysis of 248 surgically treated rib fracture patients was performed who admitted to our hospital from March 2007 to December 2012. Intramedullary nailing was performed in 28 cases, a claw-type bone plate was fixed in 141 cases, and a combination of both was fixed in 79 cases. RESULTS All internal fixation patients were clinically cured except 1 patient died 14 days after a massive pulmonary embolism. The patients with flail chest and floating chest wall causing respiratory and circulatory disorders were promptly corrected. Routine follow-up was from 1 to 2 years, displaced fractures were in 2 cases, and there were 11 cases of internal fixation and extraction. CONCLUSION Internal fixation is a simple and reliable method for the treatment of multiple rib fractures. Both internal fixation materials have their pros and cons but the claw bone plate is more robust. The actual selection of appropriate treatment options helps to improve the treatment efficacy.
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Affiliation(s)
- X Chai
- Department of Thoracic Surgery, Shanghai First People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China -
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Chai X, Xing L. SU-E-J-92: Multi-Atlas Based Prostate Segmentation Guided by Partial Active Shape Model for CT Image with Gold Markers. Med Phys 2013. [DOI: 10.1118/1.4814304] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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van de Schoot A, Schooneveldt G, Wognum S, Hoogeman M, Chai X, Stalpers L, Rasch C, Bel A. SU-C-WAB-05: Automatic Bladder Segmentation On CBCT for Plan Selection During Cervical ART. Med Phys 2013. [DOI: 10.1118/1.4813957] [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: 11/07/2022] Open
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Treister N, Chai X, Kurland B, Pavletic S, Weisdorf D, Pidala J, Palmer J, Martin P, Inamoto Y, Arora M, Flowers M, Jacobsohn D, Jagasia M, Arai S, Lee SJ, Cutler C. Measurement of oral chronic GVHD: results from the Chronic GVHD Consortium. Bone Marrow Transplant 2013; 48:1123-8. [PMID: 23353804 DOI: 10.1038/bmt.2012.285] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2012] [Revised: 12/06/2012] [Accepted: 12/20/2012] [Indexed: 11/09/2022]
Abstract
Oral chronic GVHD (cGVHD) is a serious complication of alloSCT. Scales and instruments to measure oral cGVHD activity and severity have not been prospectively validated. The objective of this study was to describe the characteristics of oral cGVHD and determine the measures most sensitive to change. Patients enrolled in the cGVHD Consortium with oral involvement were included. Clinicians scored oral changes according to the National Institutes of Health (NIH) criteria, and patients completed symptom and quality-of-life measures at each visit. Both rated change on an eight-point scale. Of the 458 participants, 72% (n=331) had objective oral involvement at enrollment. Lichenoid change was the most common feature (n=293; 89%). At visits where oral change could be assessed, 50% of clinicians and 56% of patients reported improvement, with worsening reported in 4-5% for both the groups (weighted kappa=0.41). Multivariable regression modeling suggested that the measurement changes most predictive of perceived change by clinicians and patients were erythema and lichenoid, NIH severity and symptom scores. Oral cGVHD is common and associated with a range of signs and symptoms. Measurement of erythema and lichenoid changes and symptoms may adequately capture the activity of oral cGVHD in clinical trials but require prospective validation.
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Affiliation(s)
- N Treister
- Division of Oral Medicine and Dentistry, Brigham and Women's Hospital, Boston, MA 02115, USA.
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Wognum S, Bondar L, Zolnay AG, Chai X, Hulshof MCCM, Hoogeman MS, Bel A. Control over structure-specific flexibility improves anatomical accuracy for point-based deformable registration in bladder cancer radiotherapy. Med Phys 2013; 40:021702. [DOI: 10.1118/1.4773040] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
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Arora M, Pidala J, Cutler CS, Chai X, Kurland B, Jacobsohn DA, Pavletic SZ, Palmer J, Vogelsang G, Jagasia M, Schultz K, Lee SJ. Impact of prior acute GVHD on chronic GVHD outcomes: a chronic graft versus host disease consortium study. Leukemia 2012; 27:1196-201. [PMID: 23047477 DOI: 10.1038/leu.2012.292] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Wognum S, Bondar L, Zolnay A, Chai X, Hoogeman M, Bel A. OC-0461 STRUCTURE-SPECIFIC FLEXIBILITY IMPROVES ANATOMICAL ACCURACY FOR BLADDER CANCER DEFORMABLE REGISTRATION. Radiother Oncol 2012. [DOI: 10.1016/s0167-8140(12)70800-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Pidala J, Vogelsang G, Martin P, Chai X, Storer B, Pavletic S, Weisdorf D, Jagasia M, Cutler C, Palmer J, Jacobsohn D, Arai S, Lee S. Overlap Subtype of Chronic GVHD Is Associated with Adverse Prognosis, Functional Impairment, and Inferior Patient Reported Outcomes: A Chronic GVHD Consortium Study. Biol Blood Marrow Transplant 2012. [DOI: 10.1016/j.bbmt.2011.12.005] [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: 10/14/2022]
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Carpenter P, Chai X, Kurland B, Palmer J, Inamoto Y, Martin P, Johnston L, Arora M, Cutler C, Arai S, Flowers M, Jacobsohn D, Pavletic S, Lee S. Recommended Measures for Joint Chronic GVHD: Results from the Chronic GVHD Consortium. Biol Blood Marrow Transplant 2012. [DOI: 10.1016/j.bbmt.2011.12.407] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Gadi VK, Kurland BF, Specht JM, Rodler E, Korde LA, Peterson LM, Schubert EK, Chai X, Mankoff DA, Linden HM. P1-06-25: Changes in FDG PET SUV Correlates with Ki-67 Following 2 Weeks of Aromatase Inhibitor Therapy in ER+ Early Stage Breast Cancer, a Pilot Imaging Study. Cancer Res 2011. [DOI: 10.1158/0008-5472.sabcs11-p1-06-25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: In estrogen receptor positive (ER+) tumors, a low proliferative index (Ki-67) two weeks into endocrine therapy predicts response. FDG PET non-invasively measures tumor sites in vivo. The pre-operative window is an opportunity to assess impact of systemic therapies. We tested associations between FDG PET standardized uptake value (SUV) and Ki-67 after two weeks of aromatase inhibitor (AI) therapy in newly diagnosed, postmenopausal women.
Methods: Postmenopausal patients with clinical stage I-II ER+ HER2− primary tumors underwent a 9–35 day “run-in” of AI monotherapy prior to definitive surgery. FDG PET was performed before AI therapy, and 1–5 days before surgery. Ki-67 was measured in baseline core biopsy and surgical specimens.
Results: To date, 18 patients (median age 59) have been enrolled of whom 14 patients have undergone serial FDG PET imaging with 12 completed assessment of Ki-67 in surgical samples including one who had no residual invasive carcinoma. The majority harbored ductal carcinomas (n=16) with 10/18 having histologic grade ≥ 2. The median number of days exposed to AI was 18 (range, 9–35). Baseline SUV ranged from 1.8 to 10.9 (median 2.5), and post run-in SUV (7-34 days later) ranged from 1.0 to 10.7 (median 2.5). A median 14% decrease in SUV was observed between paired FDG PET studies (range, 44% decline to 13% increase). Five of 12 patients’ index lesion FDG SUV declined by 20% or more; all also had Ki-67 ≤5% at surgery. An additional 5 patients with Ki-67 ≤5% at surgery had percentage change in FDG PET SUV of 0% to 17% decline. Results will be updated as accrual is ongoing.
Conclusions: Substantial changes in FDG PET SUV in the breast tumor were appreciated early in AI therapy. SUV declined or was stable in all but one patient of 14, and all patients with ≥ 20% decrease in SUV had a low (≤5%) Ki-67 at surgery. Serial PET is a promising measure of early response to therapy.
Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P1-06-25.
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Affiliation(s)
- VK Gadi
- 1University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA
| | - BF Kurland
- 1University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA
| | - JM Specht
- 1University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA
| | - E Rodler
- 1University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA
| | - LA Korde
- 1University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA
| | - LM Peterson
- 1University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA
| | - EK Schubert
- 1University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA
| | - X Chai
- 1University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA
| | - DA Mankoff
- 1University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA
| | - HM Linden
- 1University of Washington, Seattle, WA; Fred Hutchinson Cancer Research Center, Seattle, WA
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Chai X, Zhang LJ, Yeh BM, Zhao YE, Hu XB, Lu GM. Acute and subacute dual energy CT findings of pulmonary embolism in rabbits: correlation with histopathology. Br J Radiol 2011; 85:613-22. [PMID: 21791503 DOI: 10.1259/bjr/67661352] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE The purpose of this study was to describe quantitative dual energy CT (DECT) findings and their accuracy in the detection of acute and subacute pulmonary embolism (PE) in rabbits. METHODS Pulmonary emboli were created in 24 rabbits by gelatin sponge femoral vein injection. Conventional CT pulmonary angiography (CTPA) and DECT were obtained at either 2 h, 1 day, 3 days or 7 days after embolisation (n=6 rabbits for each time point). The location and number of PEs in the different stages were recorded at CTPA and iodine maps from DECT on a per-lobe basis. With histopathology as the reference standard, sensitivity and specificity of CTPA and DECT were calculated. CT and iodine map overlay values of the embolic and non-embolic areas were measured for each scan. RESULTS With histopathology as the reference standard, the overall sensitivity and specificity of CTPA were 98% and 100% and those of iodine maps were 100% and 95%, respectively. Conventional CT and iodine map values of the embolised and non-embolised areas were significantly different between 2 h and 1 day (p<0.001), but not between 3 days and 7 days (p>0.05). A statistical difference was found for overlay values measured in the embolic and non-embolic regions for four groups. CONCLUSION Iodine maps derived from DECT show alterations in lung perfusion for acute and subacute PE in an experimental rabbit model and show comparable sensitivity for PE detection and conventional CTPA.
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Affiliation(s)
- X Chai
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, Jiangsu, China
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Chai X, van Herk M, Hulshof M, Remeijer P, Bel A. SU-F-BRA-04: Automatic Bladder Segmentation on CBCT for Online ART of Bladder Cancer. Med Phys 2011. [DOI: 10.1118/1.3612871] [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: 11/07/2022] Open
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Chai X, van Herk M, van de Kamer J, Hulshof M, Remeijer P, Bel A. 531 oral AUTOMATIC BLADDER SEGMENTATION ON CBCT FOR ONLINE ART OF BLADDER CANCER. Radiother Oncol 2011. [DOI: 10.1016/s0167-8140(11)70653-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Pidala J, Kurland B, Chai X, Majhail N, Weisdorf D, Pavletic S, Cutler C, Arai S, Jagasia M, Palmer J, Lee S. Chronic GVHD Severity and Sensitivity to Change in Patient-Reported Quality of Life: Results From the Chronic GVHD Consortium. Biol Blood Marrow Transplant 2011. [DOI: 10.1016/j.bbmt.2010.12.257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Murase T, Lee S, Kurland B, Chai X, Hansen J, Flowers M, Onizuka M, Toyosaki M, Inoko H, Ando K. Plasma Cytokine Concentrations According to Chronic GVHD Subtype. Biol Blood Marrow Transplant 2011. [DOI: 10.1016/j.bbmt.2010.12.509] [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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Partridge SC, Rahbar H, Murthy R, Chai X, Kurland BF, DeMartini WB, Lehman CD. Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast-enhanced kinetics. Magn Reson Med 2011; 65:1759-67. [PMID: 21254208 DOI: 10.1002/mrm.22762] [Citation(s) in RCA: 84] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2010] [Revised: 11/05/2010] [Accepted: 11/24/2010] [Indexed: 12/20/2022]
Abstract
This study investigated the relationship between apparent diffusion coefficient (ADC) measures and dynamic contrast-enhanced magnetic resonance imaging (MRI) kinetics in breast lesions and evaluated the relative diagnostic value of each quantitative parameter. Seventy-seven women with 100 breast lesions (27 malignant and 73 benign) underwent both dynamic contrast-enhanced MRI and diffusion weighted MRI. Dynamic contrast-enhanced MRI kinetic parameters included peak initial enhancement, predominant delayed kinetic curve type (persistent, plateau, or washout), and worst delayed kinetic curve type (washout > plateau > persistent). Associations between ADC and dynamic contrast-enhanced MRI kinetic parameters and predictions of malignancy were evaluated. Results showed that ADC was significantly associated with predominant curve type (ADC was higher for lesions exhibiting predominantly persistent enhancement compared with those exhibiting predominantly washout or plateau, P = 0.006), but was not significantly associated with peak initial enhancement or worst curve type (P > 0.05). Univariate analysis showed significant differences between benign and malignant lesions in both ADC (P < 0.001) and worst curve (P = 0.003). In multivariate analysis, worst curve type and ADC were significant independent predictors of benign versus malignant outcome and in combination produced the highest area under the receiver operating characteristic curve (0.85 and 0.78 with 5-fold cross validation).
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Affiliation(s)
- S C Partridge
- Department of Radiology, University of Washington, Seattle, Washington 98109-1023, USA.
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Ton CC, Vartanian N, Chai X, Lin MG, Yuan X, Malone KE, Li CI, Dawson A, Sather C, Delrow J, Hsu L, Porter PL. Gene expression array testing of FFPE archival breast tumor samples: an optimized protocol for WG-DASL sample preparation. Breast Cancer Res Treat 2010; 125:879-83. [PMID: 20842525 DOI: 10.1007/s10549-010-1159-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2010] [Accepted: 08/31/2010] [Indexed: 02/06/2023]
Abstract
Archived formalin-fixed, paraffin embedded (FFPE) tissues constitute a vast, well-annotated, but underexploited resource for the molecular study of cancer progression, largely because degradation, chemical modification, and cross-linking, render FFPE RNA a suboptimal substrate for conventional analytical methods. We report here a modified protocol for RNA extraction from FFPE tissues which maximized the success rate (with 100% of samples) in the expression profiling of a set of 60 breast cancer samples on the WG-DASL platform; yielding data of sufficient quality such that in hierarchical clustering (a) 12/12 (100%) replicates correctly identified their respective counterparts, with a high self-correlation (r = 0.979), and (b) the overall sample set grouped with high specificity into ER+ (38/40; 95%) and ER- (18/20; 90%) subtypes. These results indicate that a large fraction of decade-old FFPE samples, of diverse institutional origins and processing histories, can yield RNA suitable for gene expression profiling experiments.
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Affiliation(s)
- C C Ton
- Divisions of Human Biology, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. N, Seattle, WA 98109, USA
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Aubert B, Bona M, Karyotakis Y, Lees JP, Poireau V, Prencipe E, Prudent X, Tisserand V, Tico JG, Grauges E, Lopez L, Palano A, Pappagallo M, Eigen G, Stugu B, Sun L, Abrams GS, Battaglia M, Brown DN, Cahn RN, Jacobsen RG, Kerth LT, Kolomensky YG, Lynch G, Osipenkov IL, Ronan MT, Tackmann K, Tanabe T, Hawkes CM, Soni N, Watson AT, Koch H, Schroeder T, Walker D, Asgeirsson DJ, Fulsom BG, Hearty C, Mattison TS, McKenna JA, Barrett M, Khan A, Blinov VE, Bukin AD, Buzykaev AR, Druzhinin VP, Golubev VB, Onuchin AP, Serednyakov SI, Skovpen YI, Solodov EP, Todyshev KY, Bondioli M, Curry S, Eschrich I, Kirkby D, Lankford AJ, Lund P, Mandelkern M, Martin EC, Stoker DP, Abachi S, Buchanan C, Gary JW, Liu F, Long O, Shen BC, Vitug GM, Yasin Z, Zhang L, Sharma V, Campagnari C, Hong TM, Kovalskyi D, Mazur MA, Richman JD, Beck TW, Eisner AM, Flacco CJ, Heusch CA, Kroseberg J, Lockman WS, Schalk T, Schumm BA, Seiden A, Wang L, Wilson MG, Winstrom LO, Cheng CH, Doll DA, Echenard B, Fang F, Hitlin DG, Narsky I, Piatenko T, Porter FC, Andreassen R, Mancinelli G, Meadows BT, Mishra K, Sokoloff MD, Bloom PC, Ford WT, Gaz A, Hirschauer JF, Nagel M, Nauenberg U, Smith JG, Ulmer KA, Wagner SR, Ayad R, Soffer A, Toki WH, Wilson RJ, Altenburg DD, Feltresi E, Hauke A, Jasper H, Karbach M, Merkel J, Petzold A, Spaan B, Wacker K, Kobel MJ, Mader WF, Nogowski R, Schubert KR, Schwierz R, Sundermann JE, Volk A, Bernard D, Bonneaud GR, Latour E, Thiebaux C, Verderi M, Clark PJ, Gradl W, Playfer S, Watson JE, Andreotti M, Bettoni D, Bozzi C, Calabrese R, Cecchi A, Cibinetto G, Franchini P, Luppi E, Negrini M, Petrella A, Piemontese L, Santoro V, Baldini-Ferroli R, Calcaterra A, de Sangro R, Finocchiaro G, Pacetti S, Patteri P, Peruzzi IM, Piccolo M, Rama M, Zallo A, Buzzo A, Contri R, Lo Vetere M, Macri MM, Monge MR, Passaggio S, Patrignani C, Robutti E, Santroni A, Tosi S, Chaisanguanthum KS, Morii M, Marks J, Schenk S, Uwer U, Klose V, Lacker HM, Bard DJ, Dauncey PD, Nash JA, Vazquez WP, Tibbetts M, Behera PK, Chai X, Charles MJ, Mallik U, Cochran J, Crawley HB, Dong L, Meyer WT, Prell S, Rosenberg EI, Rubin AE, Gao YY, Gritsan AV, Guo ZJ, Lae CK, Denig AG, Fritsch M, Schott G, Arnaud N, Béquilleux J, D'Orazio A, Davier M, da Costa JF, Grosdidier G, Höcker A, Lepeltier V, Le Diberder F, Lutz AM, Pruvot S, Roudeau P, Schune MH, Serrano J, Sordini V, Stocchi A, Wormser G, Lange DJ, Wright DM, Bingham I, Burke JP, Chavez CA, Fry JR, Gabathuler E, Gamet R, Hutchcroft DE, Payne DJ, Touramanis C, Bevan AJ, Clarke CK, George KA, Di Lodovico F, Sacco R, Sigamani M, Cowan G, Flaecher HU, Hopkins DA, Paramesvaran S, Salvatore F, Wren AC, Brown DN, Davis CL, Alwyn KE, Bailey D, Barlow RJ, Chia YM, Edgar CL, Jackson G, Lafferty GD, West TJ, Yi JI, Anderson J, Chen C, Jawahery A, Roberts DA, Simi G, Tuggle JM, Dallapiccola C, Li X, Salvati E, Saremi S, Cowan R, Dujmic D, Fisher PH, Koeneke K, Sciolla G, Spitznagel M, Taylor F, Yamamoto RK, Zhao M, Patel PM, Robertson SH, Lazzaro A, Lombardo V, Palombo F, Bauer JM, Cremaldi L, Eschenburg V, Godang R, Kroeger R, Sanders DA, Summers DJ, Zhao HW, Simard M, Taras P, Viaud FB, Nicholson H, De Nardo G, Lista L, Monorchio D, Onorato G, Sciacca C, Raven G, Snoek HL, Jessop CP, Knoepfel KJ, LoSecco JM, Wang WF, Benelli G, Corwin LA, Honscheid K, Kagan H, Kass R, Morris JP, Rahimi AM, Regensburger JJ, Sekula SJ, Wong QK, Blount NL, Brau J, Frey R, Igonkina O, Kolb JA, Lu M, Rahmat R, Sinev NB, Strom D, Strube J, Torrence E, Castelli G, Gagliardi N, Margoni M, Morandin M, Posocco M, Rotondo M, Simonetto F, Stroili R, Voci C, Sanchez PDA, Ben-Haim E, Briand H, Calderini G, Chauveau J, David P, Del Buono L, Hamon O, Leruste P, Ocariz J, Perez A, Prendki J, Sitt S, Gladney L, Biasini M, Covarelli R, Manoni E, Angelini C, Batignani G, Bettarini S, Carpinelli M, Cervelli A, Forti F, Giorgi MA, Lusiani A, Marchiori G, Morganti M, Neri N, Paoloni E, Rizzo G, Walsh JJ, Pegna DL, Lu C, Olsen J, Smith AJS, Telnov AV, Anulli F, Baracchini E, Cavoto G, del Re D, Di Marco E, Faccini R, Ferrarotto F, Ferroni F, Gaspero M, Jackson PD, Gioi LL, Mazzoni MA, Morganti S, Piredda G, Polci F, Renga F, Voena C, Ebert M, Hartmann T, Schröder H, Waldi R, Adye T, Franek B, Olaiya EO, Wilson FF, Emery S, Escalier M, Esteve L, Ganzhur SF, de Monchenault GH, Kozanecki W, Vasseur G, Yèche C, Zito M, Chen XR, Liu H, Park W, Purohit MV, White RM, Wilson JR, Allen MT, Aston D, Bartoldus R, Bechtle P, Benitez JF, Cenci R, Coleman JP, Convery MR, Dingfelder JC, Dorfan J, Dubois-Felsmann GP, Dunwoodie W, Field RC, Gabareen AM, Gowdy SJ, Graham MT, Grenier P, Hast C, Innes WR, Kaminski J, Kelsey MH, Kim H, Kim P, Kocian ML, Leith DWGS, Li S, Lindquist B, Luitz S, Luth V, Lynch HL, MacFarlane DB, Marsiske H, Messner R, Muller DR, Neal H, Nelson S, O'Grady CP, Ofte I, Perazzo A, Perl M, Ratcliff BN, Roodman A, Salnikov AA, Schindler RH, Schwiening J, Snyder A, Su D, Sullivan MK, Suzuki K, Swain SK, Thompson JM, Va'vra J, Wagner AP, Weaver M, West CA, Wisniewski WJ, Wittgen M, Wright DH, Wulsin HW, Yarritu AK, Yi K, Young CC, Ziegler V, Burchat PR, Edwards AJ, Majewski SA, Miyashita TS, Petersen BA, Wilden L, Ahmed S, Alam MS, Ernst JA, Pan B, Saeed MA, Zain SB, Spanier SM, Wogsland BJ, Eckmann R, Ritchie JL, Ruland AM, Schilling CJ, Schwitters RF, Drummond BW, Izen JM, Lou XC, Bianchi F, Gamba D, Pelliccioni M, Bomben M, Bosisio L, Cartaro C, Ricca GD, Lanceri L, Vitale L, Azzolini V, Lopez-March N, Martinez-Vidal F, Milanes DA, Oyanguren A, Albert J, Banerjee S, Bhuyan B, Choi HHF, Hamano K, Kowalewski R, Lewczuk MJ, Nugent IM, Roney JM, Sobie RJ, Gershon TJ, Harrison PF, Ilic J, Latham TE, Mohanty GB, Band HR, Chen X, Dasu S, Flood KT, Pan Y, Pierini M, Prepost R, Vuosalo CO, Wu SL. Measurement of D{0}-D[-over]{0} mixing from a time-dependent amplitude analysis of D{0}-->K+pi{-}pi{0} decays. Phys Rev Lett 2009; 103:211801. [PMID: 20366027 DOI: 10.1103/physrevlett.103.211801] [Citation(s) in RCA: 4] [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: 07/28/2008] [Revised: 06/16/2009] [Indexed: 05/29/2023]
Abstract
We present evidence of D{0}-D[-over ]{0} mixing using a time-dependent amplitude analysis of the decay D{0}-->K+pi{-}pi;{0} in a data sample of 384 fb{-1} collected with the BABAR detector at the PEP-II e+e{-} collider at the Stanford Linear Accelerator Center. Assuming CP conservation, we measure the mixing parameters x{Kpipi{0}}{'}=[2.61{-0.68}{+0.57}(stat)+/-0.39(syst)]%, y{Kpipi;{0}}{'}=[-0.06{-0.64}{+0.55}(stat)+/-0.34(syst)]%. This result is inconsistent with the no-mixing hypothesis with a significance of 3.2 standard deviations. We find no evidence of CP violation in mixing.
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Affiliation(s)
- B Aubert
- Laboratoire de Physique des Particules, IN2P3/CNRS et Université de Savoie, F-74941 Annecy-Le-Vieux, France
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Aubert B, Bona M, Karyotakis Y, Lees JP, Poireau V, Prencipe E, Prudent X, Tisserand V, Garra Tico J, Grauges E, Lopez L, Palano A, Pappagallo M, Eigen G, Stugu B, Sun L, Battaglia M, Brown DN, Kerth LT, Kolomensky YG, Lynch G, Osipenkov IL, Tackmann K, Tanabe T, Hawkes CM, Soni N, Watson AT, Koch H, Schroeder T, Asgeirsson DJ, Fulsom BG, Hearty C, Mattison TS, McKenna JA, Barrett M, Khan A, Randle-Conde A, Blinov VE, Bukin AD, Buzykaev AR, Druzhinin VP, Golubev VB, Onuchin AP, Serednyakov SI, Skovpen YI, Solodov EP, Todyshev KY, Bondioli M, Curry S, Eschrich I, Kirkby D, Lankford AJ, Lund P, Mandelkern M, Martin EC, Stoker DP, Abachi S, Buchanan C, Atmacan H, Gary JW, Liu F, Long O, Vitug GM, Yasin Z, Zhang L, Sharma V, Campagnari C, Hong TM, Kovalskyi D, Mazur MA, Richman JD, Beck TW, Eisner AM, Heusch CA, Kroseberg J, Lockman WS, Martinez AJ, Schalk T, Schumm BA, Seiden A, Winstrom LO, Cheng CH, Doll DA, Echenard B, Fang F, Hitlin DG, Narsky I, Piatenko T, Porter FC, Andreassen R, Mancinelli G, Meadows BT, Mishra K, Sokoloff MD, Bloom PC, Ford WT, Gaz A, Hirschauer JF, Nagel M, Nauenberg U, Smith JG, Wagner SR, Ayad R, Soffer A, Toki WH, Wilson RJ, Feltresi E, Hauke A, Jasper H, Karbach M, Merkel J, Petzold A, Spaan B, Wacker K, Kobel MJ, Nogowski R, Schubert KR, Schwierz R, Volk A, Bernard D, Bonneaud GR, Latour E, Verderi M, Clark PJ, Playfer S, Watson JE, Andreotti M, Bettoni D, Bozzi C, Calabrese R, Cecchi A, Cibinetto G, Franchini P, Luppi E, Negrini M, Petrella A, Piemontese L, Santoro V, Baldini-Ferroli R, Calcaterra A, de Sangro R, Finocchiaro G, Pacetti S, Patteri P, Peruzzi IM, Piccolo M, Rama M, Zallo A, Contri R, Lo Vetere M, Monge MR, Passaggio S, Patrignani C, Robutti E, Tosi S, Chaisanguanthum KS, Morii M, Adametz A, Marks J, Schenk S, Uwer U, Bernlochner FU, Klose V, Lacker HM, Bard DJ, Dauncey PD, Tibbetts M, Behera PK, Chai X, Charles MJ, Mallik U, Cochran J, Crawley HB, Dong L, Meyer WT, Prell S, Rosenberg EI, Rubin AE, Gao YY, Gritsan AV, Guo ZJ, Arnaud N, Béquilleux J, D'Orazio A, Davier M, Firmino da Costa J, Grosdidier G, Le Diberder F, Lepeltier V, Lutz AM, Pruvot S, Roudeau P, Schune MH, Serrano J, Sordini V, Stocchi A, Wormser G, Lange DJ, Wright DM, Bingham I, Burke JP, Chavez CA, Fry JR, Gabathuler E, Gamet R, Hutchcroft DE, Payne DJ, Touramanis C, Bevan AJ, Clarke CK, Di Lodovico F, Sacco R, Sigamani M, Cowan G, Paramesvaran S, Wren AC, Brown DN, Davis CL, Denig AG, Fritsch M, Gradl W, Alwyn KE, Bailey D, Barlow RJ, Jackson G, Lafferty GD, West TJ, Yi JI, Anderson J, Chen C, Jawahery A, Roberts DA, Simi G, Tuggle JM, Dallapiccola C, Salvati E, Saremi S, Cowan R, Dujmic D, Fisher PH, Henderson SW, Sciolla G, Spitznagel M, Taylor F, Yamamoto RK, Zhao M, Patel PM, Robertson SH, Lazzaro A, Lombardo V, Palombo F, Bauer JM, Cremaldi L, Godang R, Kroeger R, Summers DJ, Zhao HW, Simard M, Taras P, Nicholson H, De Nardo G, Lista L, Monorchio D, Onorato G, Sciacca C, Raven G, Snoek HL, Jessop CP, Knoepfel KJ, Losecco JM, Wang WF, Corwin LA, Honscheid K, Kagan H, Kass R, Morris JP, Rahimi AM, Regensburger JJ, Sekula SJ, Wong QK, Blount NL, Brau J, Frey R, Igonkina O, Kolb JA, Lu M, Rahmat R, Sinev NB, Strom D, Strube J, Torrence E, Castelli G, Gagliardi N, Margoni M, Morandin M, Posocco M, Rotondo M, Simonetto F, Stroili R, Voci C, Del Amo Sanchez P, Ben-Haim E, Briand H, Chauveau J, Hamon O, Leruste P, Ocariz J, Perez A, Prendki J, Sitt S, Gladney L, Biasini M, Manoni E, Angelini C, Batignani G, Bettarini S, Calderini G, Carpinelli M, Cervelli A, Forti F, Giorgi MA, Lusiani A, Marchiori G, Morganti M, Neri N, Paoloni E, Rizzo G, Walsh JJ, Lopes Pegna D, Lu C, Olsen J, Smith AJS, Telnov AV, Anulli F, Baracchini E, Cavoto G, Faccini R, Ferrarotto F, Ferroni F, Gaspero M, Jackson PD, Li Gioi L, Mazzoni MA, Morganti S, Piredda G, Renga F, Voena C, Ebert M, Hartmann T, Schröder H, Waldi R, Adye T, Franek B, Olaiya EO, Wilson FF, Emery S, Esteve L, Hamel de Monchenault G, Kozanecki W, Vasseur G, Yèche C, Zito M, Chen XR, Liu H, Park W, Purohit MV, White RM, Wilson JR, Allen MT, Aston D, Bartoldus R, Benitez JF, Cenci R, Coleman JP, Convery MR, Dingfelder JC, Dorfan J, Dubois-Felsmann GP, Dunwoodie W, Field RC, Gabareen AM, Graham MT, Grenier P, Hast C, Innes WR, Kaminski J, Kelsey MH, Kim H, Kim P, Kocian ML, Leith DWGS, Li S, Lindquist B, Luitz S, Luth V, Lynch HL, Macfarlane DB, Marsiske H, Messner R, Muller DR, Neal H, Nelson S, O'Grady CP, Ofte I, Perl M, Ratcliff BN, Roodman A, Salnikov AA, Schindler RH, Schwiening J, Snyder A, Su D, Sullivan MK, Suzuki K, Swain SK, Thompson JM, Va'vra J, Wagner AP, Weaver M, West CA, Wisniewski WJ, Wittgen M, Wright DH, Wulsin HW, Yarritu AK, Yi K, Young CC, Ziegler V, Burchat PR, Edwards AJ, Miyashita TS, Ahmed S, Alam MS, Ernst JA, Pan B, Saeed MA, Zain SB, Spanier SM, Wogsland BJ, Eckmann R, Ritchie JL, Ruland AM, Schilling CJ, Schwitters RF, Drummond BW, Izen JM, Lou XC, Bianchi F, Gamba D, Pelliccioni M, Bomben M, Bosisio L, Cartaro C, Della Ricca G, Lanceri L, Vitale L, Azzolini V, Lopez-March N, Martinez-Vidal F, Milanes DA, Oyanguren A, Albert J, Banerjee S, Bhuyan B, Choi HHF, Hamano K, King GJ, Kowalewski R, Lewczuk MJ, Nugent IM, Roney JM, Sobie RJ, Gershon TJ, Harrison PF, Ilic J, Latham TE, Mohanty GB, Puccio EMT, Band HR, Chen X, Dasu S, Flood KT, Pan Y, Prepost R, Vuosalo CO, Wu SL. Evidence for the eta(b)(1S) meson in radiative Upsilon(2S) decay. Phys Rev Lett 2009; 103:161801. [PMID: 19905689 DOI: 10.1103/physrevlett.103.161801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2009] [Indexed: 05/28/2023]
Abstract
We have performed a search for the eta_{b}(1S) meson in the radiative decay of the Upsilon(2S) resonance using a sample of 91.6x10(6) Upsilon(2S) events recorded with the BABAR detector at the PEP-II B factory at the SLAC National Accelerator Laboratory. We observe a peak in the photon energy spectrum at Egamma=609.3(-4.5)(+4.6)(stat)+/-1.9(syst) MeV, corresponding to an eta(b)(1S) mass of 9394.2(-4.9)(+4.8)(stat)+/-2.0(syst) MeV/c2. The branching fraction for the decay Upsilon(2S)-->gamma(eta)b(1S) is determined to be [3.9+/-1.1(stat)-0.9+1.1(syst)]x10(-4). We find the ratio of branching fractions B[Upsilon(2S)-->gamma(eta)b(1S)]/B[Upsilon(3S)-->gamma(eta)b(1S)]=0.82+/-0.24(stat)(-0.19)(+0.20)(syst).
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Affiliation(s)
- B Aubert
- Laboratoire de Physique des Particules, IN2P3/CNRS et Université de Savoie, F-74941 Annecy-Le-Vieux, France
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Aubert B, Bona M, Karyotakis Y, Lees JP, Poireau V, Prencipe E, Prudent X, Tisserand V, Garra Tico J, Grauges E, Lopez L, Palano A, Pappagallo M, Eigen G, Stugu B, Sun L, Abrams GS, Battaglia M, Brown DN, Cahn RN, Jacobsen RG, Kerth LT, Kolomensky YG, Lynch G, Osipenkov IL, Ronan MT, Tackmann K, Tanabe T, Hawkes CM, Soni N, Watson AT, Koch H, Schroeder T, Walker D, Asgeirsson DJ, Fulsom BG, Hearty C, Mattison TS, McKenna JA, Barrett M, Khan A, Blinov VE, Bukin AD, Buzykaev AR, Druzhinin VP, Golubev VB, Onuchin AP, Serednyakov SI, Skovpen YI, Solodov EP, Todyshev KY, Bondioli M, Curry S, Eschrich I, Kirkby D, Lankford AJ, Lund P, Mandelkern M, Martin EC, Stoker DP, Abachi S, Buchanan C, Gary JW, Liu F, Long O, Shen BC, Vitug GM, Yasin Z, Zhang L, Sharma V, Campagnari C, Hong TM, Kovalskyi D, Mazur MA, Richman JD, Beck TW, Eisner AM, Flacco CJ, Heusch CA, Kroseberg J, Lockman WS, Martinez AJ, Schalk T, Schumm BA, Seiden A, Wilson MG, Winstrom LO, Cheng CH, Doll DA, Echenard B, Fang F, Hitlin DG, Narsky I, Piatenko T, Porter FC, Andreassen R, Mancinelli G, Meadows BT, Mishra K, Sokoloff MD, Bloom PC, Ford WT, Gaz A, Hirschauer JF, Nagel M, Nauenberg U, Smith JG, Ulmer KA, Wagner SR, Ayad R, Soffer A, Toki WH, Wilson RJ, Altenburg DD, Feltresi E, Hauke A, Jasper H, Karbach M, Merkel J, Petzold A, Spaan B, Wacker K, Kobel MJ, Mader WF, Nogowski R, Schubert KR, Schwierz R, Volk A, Bernard D, Bonneaud GR, Latour E, Verderi M, Clark PJ, Playfer S, Watson JE, Andreotti M, Bettoni D, Bozzi C, Calabrese R, Cecchi A, Cibinetto G, Franchini P, Luppi E, Negrini M, Petrella A, Piemontese L, Santoro V, Baldini-Ferroli R, Calcaterra A, de Sangro R, Finocchiaro G, Pacetti S, Patteri P, Peruzzi IM, Piccolo M, Rama M, Zallo A, Buzzo A, Contri R, Lo Vetere M, Macri MM, Monge MR, Passaggio S, Patrignani C, Robutti E, Santroni A, Tosi S, Chaisanguanthum KS, Morii M, Adametz A, Marks J, Schenk S, Uwer U, Klose V, Lacker HM, Bard DJ, Dauncey PD, Nash JA, Tibbetts M, Behera PK, Chai X, Charles MJ, Mallik U, Cochran J, Crawley HB, Dong L, Meyer WT, Prell S, Rosenberg EI, Rubin AE, Gao YY, Gritsan AV, Guo ZJ, Lae CK, Arnaud N, Béquilleux J, D'Orazio A, Davier M, Firmino da Costa J, Grosdidier G, Höcker A, Lepeltier V, Le Diberder F, Lutz AM, Pruvot S, Roudeau P, Schune MH, Serrano J, Sordini V, Stocchi A, Wormser G, Lange DJ, Wright DM, Bingham I, Burke JP, Chavez CA, Fry JR, Gabathuler E, Gamet R, Hutchcroft DE, Payne DJ, Touramanis C, Bevan AJ, Clarke CK, George KA, Di Lodovico F, Sacco R, Sigamani M, Cowan G, Flaecher HU, Hopkins DA, Paramesvaran S, Salvatore F, Wren AC, Brown DN, Davis CL, Denig AG, Fritsch M, Gradl W, Schott G, Alwyn KE, Bailey D, Barlow RJ, Chia YM, Edgar CL, Jackson G, Lafferty GD, West TJ, Yi JI, Anderson J, Chen C, Jawahery A, Roberts DA, Simi G, Tuggle JM, Dallapiccola C, Li X, Salvati E, Saremi S, Cowan R, Dujmic D, Fisher PH, Sciolla G, Spitznagel M, Taylor F, Yamamoto RK, Zhao M, Patel PM, Robertson SH, Lazzaro A, Lombardo V, Palombo F, Bauer JM, Cremaldi L, Godang R, Kroeger R, Sanders DA, Summers DJ, Zhao HW, Simard M, Taras P, Viaud FB, Nicholson H, De Nardo G, Lista L, Monorchio D, Onorato G, Sciacca C, Raven G, Snoek HL, Jessop CP, Knoepfel KJ, Losecco JM, Wang WF, Benelli G, Corwin LA, Honscheid K, Kagan H, Kass R, Morris JP, Rahimi AM, Regensburger JJ, Sekula SJ, Wong QK, Blount NL, Brau J, Frey R, Igonkina O, Kolb JA, Lu M, Rahmat R, Sinev NB, Strom D, Strube J, Torrence E, Castelli G, Gagliardi N, Margoni M, Morandin M, Posocco M, Rotondo M, Simonetto F, Stroili R, Voci C, Del Amo Sanchez P, Ben-Haim E, Briand H, Calderini G, Chauveau J, David P, Del Buono L, Hamon O, Leruste P, Ocariz J, Perez A, Prendki J, Sitt S, Gladney L, Biasini M, Covarelli R, Manoni E, Angelini C, Batignani G, Bettarini S, Carpinelli M, Cervelli A, Forti F, Giorgi MA, Lusiani A, Marchiori G, Morganti M, Neri N, Paoloni E, Rizzo G, Walsh JJ, Lopes Pegna D, Lu C, Olsen J, Smith AJS, Telnov AV, Anulli F, Baracchini E, Cavoto G, Del Re D, Di Marco E, Faccini R, Ferrarotto F, Ferroni F, Gaspero M, Jackson PD, Li Gioi L, Mazzoni MA, Morganti S, Piredda G, Polci F, Renga F, Voena C, Ebert M, Hartmann T, Schröder H, Waldi R, Adye T, Franek B, Olaiya EO, Wilson FF, Emery S, Escalier M, Esteve L, Ganzhur SF, Hamel de Monchenault G, Kozanecki W, Vasseur G, Yèche C, Zito M, Chen XR, Liu H, Park W, Purohit MV, White RM, Wilson JR, Allen MT, Aston D, Bartoldus R, Bechtle P, Benitez JF, Cenci R, Coleman JP, Convery MR, Dingfelder JC, Dorfan J, Dubois-Felsmann GP, Dunwoodie W, Field RC, Gabareen AM, Gowdy SJ, Graham MT, Grenier P, Hast C, Innes WR, Kaminski J, Kelsey MH, Kim H, Kim P, Kocian ML, Leith DWGS, Li S, Lindquist B, Luitz S, Luth V, Lynch HL, Macfarlane DB, Marsiske H, Messner R, Muller DR, Neal H, Nelson S, O'Grady CP, Ofte I, Perazzo A, Perl M, Ratcliff BN, Roodman A, Salnikov AA, Schindler RH, Schwiening J, Snyder A, Su D, Sullivan MK, Suzuki K, Swain SK, Thompson JM, Va'vra J, Wagner AP, Weaver M, West CA, Wisniewski WJ, Wittgen M, Wright DH, Wulsin HW, Yarritu AK, Yi K, Young CC, Ziegler V, Burchat PR, Edwards AJ, Majewski SA, Miyashita TS, Petersen BA, Wilden L, Ahmed S, Alam MS, Ernst JA, Pan B, Saeed MA, Zain SB, Spanier SM, Wogsland BJ, Eckmann R, Ritchie JL, Ruland AM, Schilling CJ, Schwitters RF, Drummond BW, Izen JM, Lou XC, Bianchi F, Gamba D, Pelliccioni M, Bomben M, Bosisio L, Cartaro C, Della Ricca G, Lanceri L, Vitale L, Azzolini V, Lopez-March N, Martinez-Vidal F, Milanes DA, Oyanguren A, Albert J, Banerjee S, Bhuyan B, Choi HHF, Hamano K, Kowalewski R, Lewczuk MJ, Nugent IM, Roney JM, Sobie RJ, Gershon TJ, Harrison PF, Ilic J, Latham TE, Mohanty GB, Band HR, Chen X, Dasu S, Flood KT, Pan Y, Pierini M, Prepost R, Vuosalo CO, Wu SL. Measurement of semileptonic B decays into orbitally excited charmed mesons. Phys Rev Lett 2009; 103:051803. [PMID: 19792487 DOI: 10.1103/physrevlett.103.051803] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2008] [Indexed: 05/28/2023]
Abstract
We present a study of B decays into semileptonic final states containing charged and neutral D1(2420) and D_{2};{*}(2460). The analysis is based on a data sample of 208 fb;{-1} collected at the Upsilon(4S) resonance with the BABAR detector at the PEP-II asymmetric-energy B factory at SLAC. With a simultaneous fit to four different decay chains, the semileptonic branching fractions are extracted from measurements of the mass difference Deltam=m(D;{**})-m(D) distributions. Product branching fractions are determined to be B(B;{+}-->D_{1};{0}l;{+}nu_{l})xB(D_{1};{0}-->D;{*+}pi;{-})=(2.97+/-0.17+/-0.17)x10;{-3}, B(B;{+}-->D_{2};{*0}l;{+}nu_{l})xB(D_{2};{*0}-->D;{(*)+}pi;{-})=(2.29+/-0.23+/-0.21)x10;{-3}, B(B;{0}-->D_{1};{-}l;{+}nu_{l})xB(D_{1};{-}-->D;{*0}pi;{-})=(2.78+/-0.24+/-0.25)x10;{-3} and B(B;{0}-->D_{2};{*-}l;{+}nu_{l})xB(D_{2};{*-}-->D;{(*)0}pi;{-})=(1.77+/-0.26+/-0.11)x10;{-3}. In addition we measure the branching ratio Gamma(D_{2};{*}-->Dpi;{-})/Gamma(D_{2};{*}-->D;{(*)}pi;{-})=0.62+/-0.03+/-0.02.
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Affiliation(s)
- B Aubert
- Laboratoire de Physique des Particules, IN2P3/CNRS et Université de Savoie, F-74941 Annecy-Le-Vieux, France
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