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Bermudez C, Kerley CI, Ramadass K, Farber-Eger EH, Lin YC, Kang H, Taylor WD, Wells QS, Landman BA. Volumetric brain MRI signatures of heart failure with preserved ejection fraction in the setting of dementia. Magn Reson Imaging 2024; 109:49-55. [PMID: 38430976 DOI: 10.1016/j.mri.2024.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/27/2024] [Accepted: 02/27/2024] [Indexed: 03/05/2024]
Abstract
Heart failure with preserved ejection fraction (HFpEF) is an important, emerging risk factor for dementia, but it is not clear whether HFpEF contributes to a specific pattern of neuroanatomical changes in dementia. A major challenge to studying this is the relative paucity of datasets of patients with dementia, with/without HFpEF, and relevant neuroimaging. We sought to demonstrate the feasibility of using modern data mining tools to create and analyze clinical imaging datasets and identify the neuroanatomical signature of HFpEF-associated dementia. We leveraged the bioinformatics tools at Vanderbilt University Medical Center to identify patients with a diagnosis of dementia with and without comorbid HFpEF using the electronic health record. We identified high resolution, clinically-acquired neuroimaging data on 30 dementia patients with HFpEF (age 76.9 ± 8.12 years, 61% female) as well as 301 age- and sex-matched patients with dementia but without HFpEF to serve as comparators (age 76.2 ± 8.52 years, 60% female). We used automated image processing pipelines to parcellate the brain into 132 structures and quantify their volume. We found six regions with significant atrophy associated with HFpEF: accumbens area, amygdala, posterior insula, anterior orbital gyrus, angular gyrus, and cerebellar white matter. There were no regions with atrophy inversely associated with HFpEF. Patients with dementia and HFpEF have a distinct neuroimaging signature compared to patients with dementia only. Five of the six regions identified in are in the temporo-parietal region of the brain. Future studies should investigate mechanisms of injury associated with cerebrovascular disease leading to subsequent brain atrophy.
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Affiliation(s)
- Camilo Bermudez
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Cailey I Kerley
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Karthik Ramadass
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Eric H Farber-Eger
- Department of Cardiology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Ya-Chen Lin
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Warren D Taylor
- Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Quinn S Wells
- Department of Cardiology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Bennett A Landman
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA; Department of Computer Science, Vanderbilt University, Nashville, TN, USA; Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA.
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Neal J, Pavlakis N, Kim SW, Goto Y, Lim SM, Mountzios G, Fountzilas E, Mochalova A, Christoph DC, Bearz A, Quantin X, Palmero R, Antic V, Chun E, Edubilli TR, Lin YC, Huseni M, Ballinger M, Graupner V, Curran D, Vervaet P, Newsom-Davis T. CONTACT-01: A Randomized Phase III Trial of Atezolizumab + Cabozantinib Versus Docetaxel for Metastatic Non-Small Cell Lung Cancer After a Checkpoint Inhibitor and Chemotherapy. J Clin Oncol 2024:JCO2302166. [PMID: 38552197 DOI: 10.1200/jco.23.02166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 12/04/2023] [Accepted: 02/01/2024] [Indexed: 04/28/2024] Open
Abstract
PURPOSE Although checkpoint inhibitors have improved first-line treatment for non-small cell lung cancer (NSCLC), a therapeutic need remains for patients whose disease does not respond or who experience disease progression after anti-PD-L1/PD-1 immunotherapy. CONTACT-01 (ClinicalTrials.gov identifier: NCT04471428) evaluated atezolizumab plus cabozantinib versus docetaxel in patients with metastatic NSCLC who developed disease progression after concurrent or sequential treatment with anti-PD-L1/PD-1 and platinum-containing chemotherapy. METHODS This multicenter, open-label, phase III trial randomly assigned patients 1:1 to atezolizumab 1,200 mg intravenously once every 3 weeks (q3w) plus cabozantinib 40 mg orally once daily or docetaxel 75 mg/m2 intravenously once every 3 weeks. The primary end point was overall survival (OS). RESULTS One hundred eighty-six patients were assigned atezolizumab plus cabozantinib, and 180 docetaxel. Minimum OS follow-up was 10.9 months. Median OS was 10.7 months (95% CI, 8.8 to 12.3) with atezolizumab plus cabozantinib and 10.5 months (95% CI, 8.6 to 13.0) with docetaxel (stratified hazard ratio [HR], 0.88 [95% CI, 0.68 to 1.16]; P = .3668). Median progression-free survival was 4.6 months (95% CI, 4.1 to 5.6) and 4.0 months (95% CI, 3.1 to 4.4), respectively (stratified HR, 0.74 [95% CI, 0.59 to 0.92]). Serious adverse events (AEs) occurred in 71 (38.4%) patients receiving atezolizumab plus cabozantinib and 58 (34.7%) receiving docetaxel. Grade 3/4 treatment-related AEs occurred in 73 (39.5%) patients receiving atezolizumab plus cabozantinib and 58 (34.7%) receiving docetaxel. Grade 5 AEs occurred in 14 (7.6%) and 10 (6.0%) patients in the atezolizumab plus cabozantinib and docetaxel arms, respectively (treatment-related in four [2.2%] and one [0.6%], respectively). CONCLUSION Atezolizumab plus cabozantinib after disease progression following anti-PD-L1/PD-1 immunotherapy and platinum-containing chemotherapy for metastatic NSCLC did not improve OS compared with docetaxel. Safety was consistent with known profiles of these agents.
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Affiliation(s)
- Joel Neal
- Stanford Cancer Institute, Stanford University, Palo Alto, CA
| | - Nick Pavlakis
- Royal North Shore Hospital, University of Sydney, St Leonards, Australia
| | - Sang-We Kim
- Asan Medical Centre, University of Ulsan College of Medicine, Seoul, South Korea
| | | | - Sun Min Lim
- Yonsei University College of Medicine, Seoul, Republic of Korea
| | | | | | | | | | | | - Xavier Quantin
- Montpellier Cancer Institute, Inserm U1194, University of Montpellier, Montpellier, France
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Lee CC, Hwang JI, Chang KH, Lin YC, Chao CC, Cheng TF, Chen YC, Hsueh KC. Comparison of contrast-enhanced ultrasonography and MRI results obtained by expert and novice radiologists indicating short-term response after transarterial chemoembolisation for hepatocellular carcinoma. Clin Radiol 2024; 79:e73-e79. [PMID: 37914602 DOI: 10.1016/j.crad.2023.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 08/21/2023] [Accepted: 09/21/2023] [Indexed: 11/03/2023]
Abstract
AIM To evaluate inter-reader agreement between novice and expert radiologists in assessing contrast-enhanced ultrasonography (CEUS) and magnetic resonance imaging (MRI) images for detecting viable tumours with different sizes after conventional transarterial chemoembolisation (cTACE). MATERIALS AND METHODS This prospective study included patients who had less than five hepatomas and who underwent cTACE. Hepatomas with one or two feeding arteries were selected as target lesions. CEUS and MRI were performed within 1 week after cTACE to evaluate viable tumours. RESULTS The expert group had higher kappa values in evaluating all tumour sizes via CEUS compared with MRI. The novice group had similar kappa values. In patients with tumours measuring ≤3 cm, the expert group had higher kappa values in reading CEUS compared with MRI images; however, in the novice group, the kappa value was lower in evaluating CEUS compared with MRI images. In patients with tumours measuring >3 cm, the expert and novice groups had good to excellent kappa values. The confidence level of the two groups in reading MRI images was high; however, the novice group had a lower confidence level. CONCLUSION CEUS is a convenient, cost-effective, and easy to apply imaging tool that can help interventionists perform early detection of viable hepatocellular carcinoma post-TACE. It has a higher inter-rater agreement in interpreting CEUS images compared with MRI images among expert radiologists even when they are extremely familiar with post-cTACE MRI images. In novice radiologists, there may be a learning curve to achieve good consistency in CEUS interpretation.
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Affiliation(s)
- C-C Lee
- Division of Interventional Radiology, Department of Medical Imaging, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan
| | - J-I Hwang
- Division of Interventional Radiology, Department of Medical Imaging, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan; Department of Radiology, National Defense Medical Center, Taipei 11490, Taiwan
| | - K-H Chang
- Department of Medical Research, Tungs' Taichung Metroharbor Hospital, Taichung Taiwan; Center for General Education, China Medical University, Taichung 404, Taiwan; General Education Center, Jen-Teh Junior College of Medicine, Nursing and Management, Miaoli 356, Taiwan; Department of Life Sciences and Ph.D. Program in Translational Medicine, National Chung Hsing University, Taichung 40227, Taiwan
| | - Y C Lin
- Division of Interventional Radiology, Department of Medical Imaging, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan
| | - C C Chao
- Division of Interventional Radiology, Department of Medical Imaging, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan
| | - T-F Cheng
- Division of Interventional Radiology, Department of Medical Imaging, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan
| | - Y-C Chen
- Division of Interventional Radiology, Department of Medical Imaging, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan; Department of Medical Research, Tungs' Taichung Metroharbor Hospital, Taichung Taiwan
| | - K-C Hsueh
- Division of Interventional Radiology, Department of Medical Imaging, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan; Division of General Surgery, Department of Surgery, Tungs' Taichung Metroharbor Hospital, Taichung 43503, Taiwan; Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, 40227, Taiwan.
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Stark AJ, Song AK, Petersen KJ, Hay KR, Lin YC, Trujillo P, Kang H, Collazzo JM, Donahue MJ, Zald DH, Claassen DO. Accentuated Paralimbic and Reduced Mesolimbic D 2/3-Impulsivity Associations in Parkinson's Disease. J Neurosci 2023; 43:8733-8743. [PMID: 37852792 PMCID: PMC10727183 DOI: 10.1523/jneurosci.1037-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 07/31/2023] [Accepted: 10/10/2023] [Indexed: 10/20/2023] Open
Abstract
Impulsivity is a behavioral trait that is elevated in many neuropsychiatric disorders. Parkinson's disease (PD) patients can exhibit a specific pattern of reward-seeking impulsive-compulsive behaviors (ICBs), as well as more subtle changes to generalized trait impulsivity. Prior studies in healthy controls (HCs) suggest that trait impulsivity is regulated by D2/3 autoreceptors in mesocorticolimbic circuits. While altered D2/3 binding is noted in ICB+ PD patients, there is limited prior assessment of the trait impulsivity-D2/3 relationship in PD, and no prior direct comparison with patterns in HCs. We examined 54 PD (36 M; 18 F) and 31 sex- and age-matched HC (21 M; 10 F) subjects using [18F]fallypride, a high-affinity D2/3 receptor ligand, to measure striatal and extrastriatal D2/3 nondisplaceable binding potential (BPND). Subcortical and cortical assessment exclusively used ROI or exploratory-voxelwise methods, respectively. All completed the Barratt Impulsiveness Scale, a measure of trait impulsivity. Subcortical ROI analyses indicated a negative relationship between trait impulsivity and D2/3 BPND in the ventral striatum and amygdala of HCs but not in PD. By contrast, voxelwise methods demonstrated a positive trait impulsivity-D2/3 BPND correlation in ventral frontal olfactocentric-paralimbic cortex of subjects with PD but not HCs. Subscale analysis also highlighted different aspects of impulsivity, with significant interactions between group and motor impulsivity in the ventral striatum, and attentional impulsivity in the amygdala and frontal paralimbic cortex. These results suggest that dopamine functioning in distinct regions of the mesocorticolimbic circuit influence aspects of impulsivity, with the relative importance of regional dopamine functions shifting in the neuropharmacological context of PD.SIGNIFICANCE STATEMENT The biological determinants of impulsivity have broad clinical relevance, from addiction to neurodegenerative disorders. Here, we address biomolecular distinctions in Parkinson's disease. This is the first study to evaluate a large cohort of Parkinson's disease patients and age-matched healthy controls with a measure of trait impulsivity and concurrent [18F]fallypride PET, a method that allows quantification of D2/3 receptors throughout the mesocorticolimbic network. We demonstrate widespread differences in the trait impulsivity-dopamine relationship, including (1) loss of subcortical relationships present in the healthy brain and (2) emergence of a new relationship in a limbic cortical area. This illustrates the loss of mechanisms of behavioral regulation present in the healthy brain while suggesting a potential compensatory response and target for future investigation.
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Affiliation(s)
- Adam J Stark
- School of Medicine, Vanderbilt University, Nashville, Tennessee 37232
| | - Alexander K Song
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - Kalen J Petersen
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri 63310
| | - Kaitlyn R Hay
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - Ya-Chen Lin
- Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee 37232
- Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - Paula Trujillo
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - Hakmook Kang
- Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee 37232
- Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - Jenna M Collazzo
- School of Medicine, Temple University, Philadelphia, Pennsylvania 19140
| | - Manus J Donahue
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - David H Zald
- Department of Psychiatry, Rutgers University, Piscataway, New Jersey 08901
| | - Daniel O Claassen
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232
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Hurvitz SA, Boni V, Comen E, Im SA, Jung KH, Kim SB, Lee KS, Loi S, Rugo HS, Sonnenblick A, Telli ML, DuPree K, Fasso M, Lin YC, Nikanjam M, Schimmoller F, Zhang X, Zhu J, Schmid P. Abstract PD10-04: Phase Ib/II open-label, randomized trial of atezolizumab (atezo) with ipatasertib (ipat) and fulvestrant (fulv) vs control in MORPHEUS-HR+ breast cancer (M-HR+ BC) and atezo with ipat vs control in MORPHEUS triple negative breast cancer (M-TNBC). Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-pd10-04] [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: The MORPHEUS platform consists of multiple, global, open-label, randomized Phase Ib/II trials designed to gauge safety and identify early efficacy signals in treatment (tx) combinations across cancers. Within MORPHEUS, atezo (anti-PD-L1) was evaluated with ipat, an oral AKT inhibitor, with (M-HR+ BC) and without (M-TNBC) fulv. Methods: In 2 separate randomized trials, eligible immune checkpoint inhibitor naive pts with either 2L/3L HR+ chemotherapy-naive BC who had prior CDK4/6 inhibitor treatment or 2L TNBC, received atezo (840 mg D1, 15) with ipat (400 mg D1-21); pts with HR+ BC also received fulv monthly. Control tx for M-HR+ BC (NCT03280563) was fulv and for M-TNBC (NCT03424005) was capecitabine; given the adaptive nature of the MORPHEUS platform only some of the control arm pts were enrolled concurrently with pts in the ipat arms for M-HR+ BC. Primary endpoints were ORR (overall response rate; investigator-assessed RECIST 1.1) and safety. Progression-free survival (PFS) and overall survival (OS) were secondary endpoints. Results: Median duration of survival follow-up was 7.6 months for M-HR+ BC (data cutoff: Aug 2020) and 10.8 for M-TNBC (data cutoff: Mar 2021). In M-HR+ BC, none of whom received prior fulvestrant, 26 pts received atezo + ipat + fulv and 15 received fulv. Confirmed ORRs were 23.1% (95% CI: 9.0, 43.7) and 0% (95% CI: 0, 21.8), respectively. Median PFS was 4.4 mo (95% CI: 1.6, not evaluable) and 1.9 mo (95% CI: 1.6, 3.9), respectively. Updated survival data will be presented. Respectively, 61.5% and 20.0% of pts had Gr 3-4 AEs; no G5 AEs were observed; serious AEs (SAEs) occurred in 38.5% and 13.3% of pts; 7.7% and 0% of pts had tx-related AEs leading to tx withdrawal. The most common tx-related AEs were rash (73.0%), diarrhea (53.8%), nausea (42.3%), fatigue (26.9%), vomiting (23.1%), decreased appetite (19.2%), headache (15.4%), pyrexia (11.5%), hyperglycemia (11.5%), and aspartate aminotransferase (AST) increase (11.5%), in the combination arm; of these, rash (38.4%), diarrhea (7.7%), and AST increase (7.7%) included Grade 3-4 tx-related AEs. In M-TNBC, 29 pts received atezo + ipat and 24 received capecitabine. Confirmed ORRs were 3.4% (95% CI: 0.1, 17.8) and 20.8% (95% CI: 7.1, 42.2), respectively. Median PFS was 1.7 mo (95% CI: 1.5, 2.8) and 4.1 mo (95% CI: 2.3, 5.7), respectively. Median OS was 10.8 mo (95% CI: 7.0, 18.1) and 15.2 mo (95% CI: 14.4, 20.8). Gr 3-4 AEs were seen in 51.7% and 37.5% of pts, respectively; Gr 5 AEs were seen in 1 pt in the combination arm (encephalitis due to atezo). SAEs occurred in 51.7% and 16.7% of pts, respectively; 6.9% and 4.2% of pts had tx-related AEs leading to tx withdrawal. The most common tx-related AEs were rash (55.2%), diarrhea (48.3%), nausea (37.9%), pyrexia (31.0%), and fatigue (24.1%) in the combination arm; of these, rash (24.1%), fatigue (3.4%), and pyrexia (3.4%) included Gr 3-4 tx-related AEs. Biomarker data, including PI3K pathway status, PD-L1 and CD8-panCK expression, will also be presented. Conclusion: Atezo + ipat + fulv was tolerable with a preliminary efficacy signal in HR+ BC. Atezo + ipat had limited efficacy in biomarker unselected TNBC.
Citation Format: Sara A. Hurvitz, Valentina Boni, Elizabeth Comen, Seock-Ah Im, Kyung Hae Jung, Sung-Bae Kim, Keun Seok Lee, Sherene Loi, Hope S. Rugo, Amir Sonnenblick, Melinda L. Telli, Kelly DuPree, Marcella Fasso, Ya-Chen Lin, Mina Nikanjam, Frauke Schimmoller, Xiaosong Zhang, Jing Zhu, Peter Schmid. Phase Ib/II open-label, randomized trial of atezolizumab (atezo) with ipatasertib (ipat) and fulvestrant (fulv) vs control in MORPHEUS-HR+ breast cancer (M-HR+ BC) and atezo with ipat vs control in MORPHEUS triple negative breast cancer (M-TNBC) [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr PD10-04.
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Affiliation(s)
- Sara A. Hurvitz
- University of California Los Angeles, Jonsson Comprehensive Cancer Center, Los Angeles, CA
| | - Valentina Boni
- START Madrid CIOCC, Centro Integral Oncológico Clara Campal, HM Hospitales Sanchinarro, Madrid, Spain
| | | | - Seock-Ah Im
- Seoul National University College of Medicine, Seoul, Korea, Republic of
| | - Kyung Hae Jung
- Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of
| | - Sung-Bae Kim
- Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of
| | - Keun Seok Lee
- National Cancer Center, Goyang-si, Korea, Republic of
| | - Sherene Loi
- Peter MacCallum Cancer Center, Melbourne, Australia
| | - Hope S. Rugo
- University of California San Francisco, San Francisco, CA
| | - Amir Sonnenblick
- Tel Aviv Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv, Israel
| | | | | | | | | | | | | | | | - Jing Zhu
- Genentech, Inc, South San Francisco, CA
| | - Peter Schmid
- Barts Health NHS Trust - St Bartholomew's Hospital, London, United Kingdom
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McKnight CD, Trujillo P, Lopez AM, Petersen K, Considine C, Lin YC, Yan Y, Kang H, Donahue MJ, Claassen DO. Diffusion along perivascular spaces reveals evidence supportive of glymphatic function impairment in Parkinson disease. Parkinsonism Relat Disord 2021; 89:98-104. [PMID: 34271425 PMCID: PMC8429254 DOI: 10.1016/j.parkreldis.2021.06.004] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 05/25/2021] [Accepted: 06/06/2021] [Indexed: 01/25/2023]
Abstract
BACKGROUND Reduced diffusion along perivascular spaces in adults with Alzheimer's-disease-related-dementias has been reported and attributed to reduced glymphatic function. OBJECTIVES To apply quantitative measures of diffusion along, and orthogonal to, perivascular spaces in a cohort of older adults with and without clinical symptoms of alpha-synuclein related neurodegeneration. METHODS 181 adults with Parkinson disease (PD) or essential tremor (ET) additionally sub-classified by the presence of cognitive impairment underwent 3 T MRI. Diffusion-tensor-imaging (spatial resolution = 2x2x2 mm; b-value = 1000 s/mm2; directions = 33) measures of diffusion (mm2/s) parallel and orthogonal to perivascular spaces at the level of the medullary veins, and the ratio of these measures (ALPS-index), were calculated. Regions were identified by a board-certified neuroradiologist from T1-weighted and T2-weighted MRI. Evaluations of motor impairment and mild cognitive impairment (MCI) were interpreted by a board-certified neurologist and neuropsychologist, respectively. Multiple regression with false discovery rate correction was applied to understand how diffusion metrics related to (i) disease category (PD vs. ET), (ii) cognition (MCI status), and (iii) white matter disease severity from the Fazekas score. RESULTS The ALPS-index was reduced in PD compared to ET participants (p = 0.037). No association between the ALPS-index and MCI status, but an inverse association between the ALPS-index and Fazekas score (p = 0.002), was observed. The ALPS-index was inversely associated with age (p = 0.007). CONCLUSION Diffusion aberrations near perivascular spaces are evident in patients with alpha-synuclein related neurodegenerative disorders, and are related to age and white matter disease severity.
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Affiliation(s)
- Colin D McKnight
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Paula Trujillo
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alexander M Lopez
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kalen Petersen
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ciaran Considine
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ya-Chen Lin
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yan Yan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Manus J Donahue
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Daniel O Claassen
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
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Pfalzer AC, Hale LM, Huitz E, Buchanan DA, Brown BK, Moroz S, Rouleau RM, Hay KR, Hoadley J, Laird A, Ciriegio AE, Watson KH, Jones MT, Lin YC, Kang H, Riordan H, Isaacs DA, McDonell KE, Compas BE, Claassen DO. Healthcare Delivery and Huntington's Disease During the Time of COVID-19. J Huntingtons Dis 2021; 10:313-322. [PMID: 33896846 DOI: 10.3233/jhd-200460] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Safer-at-home orders during the COVID-19 pandemic altered the structure of clinical care for Huntington's disease (HD) patients. This shift provided an opportunity to identify limitations in the current healthcare infrastructure and how these may impact the health and well-being of persons with HD. OBJECTIVE The study objectives were to assess the feasibility of remote healthcare delivery in HD patients, to identify socioeconomic factors which may explain differences in feasibility and to evaluate the impact of safer-at-home orders on HD patient stress levels. METHODS This observational study of a clinical HD population during the 'safer-at-home' orders asked patients or caregivers about their current access to healthcare resources and patient stress levels. A chart review allowed for an assessment of socioeconomic status and characterization of HD severity. RESULTS Two-hundred and twelve HD patients were contacted with 156 completing the survey. During safer-at-home orders, the majority of HD patients were able to obtain medications and see a physician; however, 25% of patients would not commit to regular telehealth visits, and less than 50% utilized an online healthcare platform. We found that 37% of participants were divorced/single, 39% had less than a high school diploma, and nearly 20% were uninsured or on low-income health insurance. Patient stress levels correlated with disease burden. CONCLUSION A significant portion of HD participants were not willing to participate in telehealth services. Potential explanations for these limitations may include socioeconomic barriers and caregiving structure. These observations illustrate areas for clinical care improvement to address healthcare disparities in the HD community.
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Affiliation(s)
- Anna C Pfalzer
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lisa M Hale
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Elizabeth Huitz
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Danielle A Buchanan
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Brittany K Brown
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sarah Moroz
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Renee M Rouleau
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kaitlyn R Hay
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer Hoadley
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Amy Laird
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Abagail E Ciriegio
- Department of Psychology and Human Development, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kelly H Watson
- Department of Psychology and Human Development, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Maile T Jones
- Department of Psychology and Human Development, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ya-Chen Lin
- Vanderbilt University Medical Center, Vanderbilt University, Nashville, TN, USA
| | - Hakmook Kang
- Vanderbilt University Medical Center, Vanderbilt University, Nashville, TN, USA
| | - Heather Riordan
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - David A Isaacs
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Katherine E McDonell
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bruce E Compas
- Department of Psychology and Human Development, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Daniel O Claassen
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
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8
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Hay KR, Kukreti N, Trujillo P, Lin YC, Kang H, Claassen DO. Symptoms of Medication Withdrawal in Parkinson's Disease: Considerations for Informed Consent in Patient-Oriented Research. Pharmaceut Med 2021; 35:163-167. [PMID: 33914276 PMCID: PMC8721843 DOI: 10.1007/s40290-021-00387-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/10/2021] [Indexed: 12/26/2022]
Abstract
INTRODUCTION Dopamine medication withdrawal in Parkinson's disease (PD) is commonly employed in clinical practice and can be required for participation in research studies. When asked to withdraw from medications, participants often enquire as to what symptoms they should expect. OBJECTIVES This study sought to improve the informed consent process by identifying patient-reported symptoms when dopamine treatment is withheld. We also sought to provide clinical guidance regarding the extent of these symptoms and consider participant willingness to undergo these assessments. METHODS Participants were recruited from community-based PD programs and support groups in Nashville, Tennessee, USA. A patient-based questionnaire determined the frequency and severity of motor and nonmotor symptoms. The questionnaire also assessed whether patients would be willing to abstain from medication at a future date and under what circumstances. RESULTS A total of 31/90 participants reported willingness to withdraw from dopaminergic medications for clinical or research purposes. Tremor, walking, and balance were the most common motor symptoms that worsened during this time. Sleep dysfunction, constipation, and tremor were noted as the most severe symptoms. Of note, 10% of participants indicated that they would not be willing to go off medications again, suggesting that a minority of patients find this to be most discomforting. When prompted for a reason why participants would be willing to come off of their medications again, "for clinical purposes" was selected the most. CONCLUSIONS Study teams should list these symptoms in the applications to their institutional review board and in the informed consent to provide guidance for participants.
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Affiliation(s)
- Kaitlyn R Hay
- Department of Neurology, Vanderbilt University Medical Center, 1161 21st Ave South A-0118, Nashville, TN, 37232, USA
| | - Neevi Kukreti
- Department of Neurology, Vanderbilt University Medical Center, 1161 21st Ave South A-0118, Nashville, TN, 37232, USA
| | - Paula Trujillo
- Department of Neurology, Vanderbilt University Medical Center, 1161 21st Ave South A-0118, Nashville, TN, 37232, USA
| | - Ya-Chen Lin
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Daniel O Claassen
- Department of Neurology, Vanderbilt University Medical Center, 1161 21st Ave South A-0118, Nashville, TN, 37232, USA.
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9
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Lin YC, Chou SH, Hsueh WJ. Tunable light absorption of graphene using topological interface states. Opt Lett 2020; 45:4369-4372. [PMID: 32796960 DOI: 10.1364/ol.397738] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 06/26/2020] [Indexed: 06/11/2023]
Abstract
A tunable light absorption of graphene using topological interface states (TISs) is presented. The monolayer graphene is embedded in the interface of asymmetric topological photonic crystals (ATPCs). A strong absorption phenomenon occurs by the excitation of TISs. It is found that the absorption spectra are intensively dependent on the chemical potential of graphene and the periodic number of the ATPCs. Furthermore, the absorption can be rapidly switched in a slight variation of chemical potential, which is modulated by the applied gate voltage on graphene. This study not only opens up a new approach for enhancing light-monolayer graphene interactions, but also provides for practical applications in high absorption optoelectronic devices. This strong absorption phenomenon is different from those in Fabry-Perot resonators, nano-cavities photonic crystal, and traditional topological photonic crystals (TPCs).
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10
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Lopez AM, Trujillo P, Hernandez AB, Lin YC, Kang H, Landman BA, Englot DJ, Dawant BM, Konrad PE, Claassen DO. Structural Correlates of the Sensorimotor Cerebellum in Parkinson's Disease and Essential Tremor. Mov Disord 2020; 35:1181-1188. [PMID: 32343870 DOI: 10.1002/mds.28044] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 12/15/2019] [Accepted: 02/28/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Parkinson's disease (PD) and essential tremor (ET) are commonly encountered movement disorders. Pathophysiologic processes that localize to the cerebellum are described in both. There are limited studies investigating cerebellar structural changes in these conditions, largely because of inherent challenges in the efficiency of segmentation. METHODS We applied a novel multiatlas cerebellar segmentation method to T1-weighted images in 282 PD and 111 essential tremor patients to define 26 cerebellar lobule volumes. The severity of postural and resting tremor in both populations and gait and postural instability in PD patients were defined using subscores of the UPDRS and Washington Heights-Inwood Genetic Study motor scales. These clinical measurements were related to lobule volume size. Multiple comparisons were controlled using a false discovery rate method. RESULTS Group differences were identified between ET and PD patients, with reductions in deep cerebellar nucleus volume in ET versus reduced lobule VI volume in PD. In ET patients, lobule VIII was negatively correlated with the severity of postural tremor. In PD patients, lobule IV was positively correlated with resting tremor and total tremor severity. We observed differences in cerebellar structure that localized to sensorimotor lobules of the cerebellum. Lobule volumes appeared to differentially relate to clinical symptoms, suggesting important clinicopathologic distinctions between these conditions. These results emphasize the role of the cerebellum in tremor symptoms and should foster future clinical and pathologic investigations of the sensorimotor lobules of the cerebellum. © 2020 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Alexander M Lopez
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Paula Trujillo
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adreanna B Hernandez
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ya-Chen Lin
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Bennett A Landman
- Department of Radiology/Biomedical Engineering, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Dario J Englot
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Benoit M Dawant
- Department of Radiology/Biomedical Engineering, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Peter E Konrad
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Daniel O Claassen
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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11
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Lin YC, Yan HT. Media Freedom is the Primary Culprit for Depressive Disorders: A Cross-National Analysis. Eur J Public Health 2019. [DOI: 10.1093/eurpub/ckz187.102] [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: 11/12/2022] Open
Abstract
Abstract
Background
There has been much speculation about social environments causing an epidemic of depression. The objectives of this study are to examine how media freedom influences prevalence of depressive disorders. A direct effect of free media is great levels of information complexity causing poor mental health. Two indirect effects are that media freedom facilitates modernization, which is associated with competition-related stress, and government investment in social protection, which impedes the person’s ability to manage stress.
Methods
The study used a cross-sectional analysis on determinants of prevalence of depressive disorders in 2015 covering 98 democratic countries. Media freedom was measured as the degree to which a country allows the freedom of news and information of print media, television, and radio broadcasting (0-100: least to most free). Control variables were then added, including GDP per capita growth, population density, country latitude, and religious affiliations. Further, a mediation analysis was applied to test if there is a causal pathway that links the degrees of media freedom and the levels of economic development or/and social protection to prevalence of depression.
Results
We found that an increase in the score of media freedom by 10 resulted in a 0.20 percentage point increase in prevalence of depressive disorders (%) (0.20, CI = 0.10-0.30). Our theoretical expectations were still confirmed when this study examined the relationship for each year between 2011 and 2014 (e.g. in 2014, 0.19, CI = 0.09-0.29), used an alternative index of media freedom from a practitioners’ view (0.17, CI = 0.02-0.32), or measured each country’s level of internet and digital media freedom (0.30, CI = 0.10-0.49). Further, a mediation test showed that 39.88% and 21.38% of the total effect was mediated through the economic and social pathway respectively.
Conclusions
The findings suggest that great levels of media freedom matter in increasing prevalence of depression.
Key messages
Great levels of media freedom matter in increasing prevalence of depression. There are direct and two indirect effects of media freedom on prevalence of depression.
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Affiliation(s)
- Y C Lin
- Chinese Medicine Department, China Medical University Hospital, Taichung City, Taiwan
| | - H T Yan
- Department of Government, University of Essex, Colchester, UK
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12
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Diehl SK, Mefferd AS, Lin YC, Sellers J, McDonell KE, de Riesthal M, Claassen DO. Motor speech patterns in Huntington disease. Neurology 2019; 93:e2042-e2052. [PMID: 31662494 DOI: 10.1212/wnl.0000000000008541] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Accepted: 06/10/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Dysarthric speech of persons with Huntington disease (HD) is typically described as hyperkinetic; however, studies suggest that dysarthria can vary and resemble patterns in other neurologic conditions. To test the hypothesis that distinct motor speech subgroups can be identified within a larger cohort of patients with HD, we performed a cluster analysis on speech perceptual characteristics of patient audio recordings. METHODS Audio recordings of 48 patients with mild to moderate dysarthria due to HD were presented to 6 trained raters. Raters provided scores for various speech features (e.g., voice, articulation, prosody) of audio recordings using the classic Mayo Clinic dysarthria rating scale. Scores were submitted to an unsupervised k-means cluster analysis to determine the most salient speech features of subgroups based on motor speech patterns. RESULTS Four unique subgroups emerged from the cohort of patients with HD. Subgroup 1 was characterized by an abnormally fast speaking rate among other unique speech features, whereas subgroups 2 and 3 were defined by an abnormally slow speaking rate. Salient speech features for subgroup 2 overlapped with subgroup 3; however, the severity of dysarthria differed. Subgroup 4 was characterized by mild deviations of speech features with typical speech rate. Length of CAG repeats, Unified Huntington's Disease Rating Scale total motor score, and percent intelligibility were significantly different for pairwise comparisons of subgroups. CONCLUSION This study supports the existence of distinct presentations of dysarthria in patients with HD, which may be due to divergent pathologic processes. The findings are discussed in relation to previous literature and clinical implications.
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Affiliation(s)
- Sarah K Diehl
- From Hearing and Speech Sciences (S.K.D., A.M., M.d.R.), Biostatistics (Y.-C.L.), and Neurology (J.S., K.M., D.O.C.), Vanderbilt University Medical Center, Nashville, TN
| | - Antje S Mefferd
- From Hearing and Speech Sciences (S.K.D., A.M., M.d.R.), Biostatistics (Y.-C.L.), and Neurology (J.S., K.M., D.O.C.), Vanderbilt University Medical Center, Nashville, TN
| | - Ya-Chen Lin
- From Hearing and Speech Sciences (S.K.D., A.M., M.d.R.), Biostatistics (Y.-C.L.), and Neurology (J.S., K.M., D.O.C.), Vanderbilt University Medical Center, Nashville, TN
| | - Jessie Sellers
- From Hearing and Speech Sciences (S.K.D., A.M., M.d.R.), Biostatistics (Y.-C.L.), and Neurology (J.S., K.M., D.O.C.), Vanderbilt University Medical Center, Nashville, TN
| | - Katherine E McDonell
- From Hearing and Speech Sciences (S.K.D., A.M., M.d.R.), Biostatistics (Y.-C.L.), and Neurology (J.S., K.M., D.O.C.), Vanderbilt University Medical Center, Nashville, TN
| | - Michael de Riesthal
- From Hearing and Speech Sciences (S.K.D., A.M., M.d.R.), Biostatistics (Y.-C.L.), and Neurology (J.S., K.M., D.O.C.), Vanderbilt University Medical Center, Nashville, TN
| | - Daniel O Claassen
- From Hearing and Speech Sciences (S.K.D., A.M., M.d.R.), Biostatistics (Y.-C.L.), and Neurology (J.S., K.M., D.O.C.), Vanderbilt University Medical Center, Nashville, TN.
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13
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Trujillo P, Petersen KJ, Cronin MJ, Lin YC, Kang H, Donahue MJ, Smith SA, Claassen DO. Quantitative magnetization transfer imaging of the human locus coeruleus. Neuroimage 2019; 200:191-198. [PMID: 31233908 PMCID: PMC6934172 DOI: 10.1016/j.neuroimage.2019.06.049] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 06/17/2019] [Accepted: 06/19/2019] [Indexed: 12/14/2022] Open
Abstract
The locus coeruleus (LC) is the major origin of norepinephrine in the central nervous system, and is subject to age-related and neurodegenerative changes, especially in disorders such as Parkinson's disease and Alzheimer's disease. Previous studies have shown that neuromelanin (NM)-sensitive MRI can be used to visualize the LC, and it is hypothesized that magnetization transfer (MT) effects are the primary source of LC contrast. The aim of this study was to characterize the MT effects in LC imaging by applying high spatial resolution quantitative MT (qMT) imaging to create parametric maps of the macromolecular content of the LC and surrounding tissues. Healthy volunteers (n = 26; sex = 17 F/9M; age = 41.0 ± 19.1 years) underwent brain MRI on a 3.0 T scanner. qMT data were acquired using a 3D MT-prepared spoiled gradient echo sequence. A traditional NM scan consisting of a T1-weighted turbo spin echo sequence with MT preparation was also acquired. The pool-size ratio (PSR) was estimated for each voxel using a single-point qMT approach. The LC was semi-automatically segmented on the MT-weighted images. The MT-weighted images provided higher contrast-ratio between the LC and surrounding pontine tegmentum (PT) (0.215 ± 0.031) than the reference images without MT-preparation (-0.005 ± 0.026) and the traditional NM images (0.138 ± 0.044). The PSR maps showed significant differences between the LC (0.090 ± 0.009) and PT (0.188 ± 0.025). The largest difference between the PSR values in the LC and PT was observed in the central slices, which also correspond to those with the highest contrast-ratio. These results highlight the role of MT in generating NM-related contrast in the LC, and should serve as a foundation for future studies aiming to quantify pathological changes in the LC and surrounding structures in vivo.
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Affiliation(s)
- Paula Trujillo
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Kalen J Petersen
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Matthew J Cronin
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ya-Chen Lin
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Manus J Donahue
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Daniel O Claassen
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
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14
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Chiang JY, Fu CM, Lin YC, Ku BW, Hsu SU, Wu CK, Lin LY, Lin JL, Chiang FT, Juang JM. P1880Entropy-based algorithm for atrial fibrillation detection using photoplethysomgraphic signal recorded by a smart watch. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz748.0628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) is the most common arrhythmia, and its paroxysmal and short duration nature makes its detection challenging. The most important limitation of current smartwatches is that patients need to touch to the sensor of the watch to record signals when patients feel discomfort. We developed a wearable smart watch and evaluated its accuracy to differentiate AF from sinus rhythm, which can continuously detecting heart rhythm without hand touching the device.
Methods and results
A wearable smart watch with PPG sensor and electrocardiogram (ECG) recording function was used for signal acquisition. A total 399 patients with a mean age of 67 years old were enrolled in the study, of whom 237 (81.5%) were male, and 101 have been diagnosed with AF. Pulse wave extracted from the green light spectrum of the signal and ECG were recorded for about 10 minutes for each patient. Pulse-to-pulse intervals (PPI) were automatically identified. All ECG signals were verified by two cardiologists. The correlation between R-to-R interval on ECG and PPI were excellent, with a correlation coefficient R >0.99 (p<0.05). An entropy-based algorithm which combined Shannon entropy of successive difference of PPI and sample entropy of PPI was used to discriminate between AF and sinus rhythm. This method had high sensitivity and specificity (96% and 98%, respectively), the area under receiver operating characteristic curve reached 0.98.
Conclusions
We developed an entropy-based algorithm for AF detection with PPG signal recorded by a wearable smart watch. This algorithm discriminates AF from sinus rhythm accurately. This advance in technology overcomes an important clinical obstacle and can increase the AF detection rate tremendously.
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Affiliation(s)
- J Y Chiang
- National Taiwan University Hospital, Internal medicine, Taipei, Taiwan
| | - C M Fu
- MediaTek Inc, Taipei, Taiwan
| | - Y C Lin
- MediaTek Inc, Taipei, Taiwan
| | - B W Ku
- MediaTek Inc, Taipei, Taiwan
| | - S U Hsu
- MediaTek Inc, Taipei, Taiwan
| | - C K Wu
- MediaTek Inc, Taipei, Taiwan
| | - L Y Lin
- National Taiwan University Hospital, Division of Cardiology, Department of Internal Medicine, Taipei, Taiwan
| | - J L Lin
- National Taiwan University Hospital, Division of Cardiology, Department of Internal Medicine, Taipei, Taiwan
| | - F T Chiang
- National Taiwan University Hospital, Division of Cardiology, Department of Internal Medicine, Taipei, Taiwan
| | - J M Juang
- National Taiwan University Hospital, Division of Cardiology, Department of Internal Medicine, Taipei, Taiwan
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15
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Li MY, Ye J, Huang ZY, Lin YC, Liu AH, Li LP, Chen J, Wang YP. [Clinical analysis of five cases of autism spectrum disorder complicated with epilepsy with chromosome copy number variation]. Zhonghua Yi Xue Za Zhi 2019; 99:2615-2618. [PMID: 31510723 DOI: 10.3760/cma.j.issn.0376-2491.2019.33.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the clinical features and genetic causes of autism spectrum disorder (ASD) patients with epilepsy. Methods: The clinical data of five patients with ASD and epilepsy admitted to Xuanwu Hospital between September 2017 and September 2018 were collected, including medical history, intelligence level, developmental level, physical examination, neuroimaging and electroencephalogram. High-throughput whole-genome sequencing was applied to five patients and their parents. Results: Of five patients, four were male and one was female. All five patients had mild mental retardation, and one patient had significant growth retardation and craniofacial deformity. The average epilepsy onset age was 6.3 years old (7 months to 16 years). The main epileptic type was tonic-clonic seizure with abnormal EEG results. All patients have a favorable response to anti-epileptic drugs. Whole-exome sequencing (WES) revealed copy number variation in all 5 patients. Among them, 3 cases were reported to be pathogenic, and 2 cases were not reported (chromosome 16p13.3 duplication and chromosome 21q22.3 deletion). Conclusions: The results of current study support that autism spectrum disorders with seizures is often associated with copy number variations, such as Williams-Beuren region duplication syndrome, chromosome 15q11.2 duplication syndrome and chromosome 15q11.2 deletion syndrome. We reported two novel copy number variations (chromosome 16p13.3 duplication and chromosome 21q22.3 deletion) in two autism spectrum disorder patients with epileptic seizures.
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Affiliation(s)
- M Y Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
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Abstract
We report a 49-year-old woman who presented with a hypertensive crisis and acute heart failure and reduced left ventricular systolic function. An abdominal ultrasonography revealed a huge lobulated heterogeneous mass at the lower pole of the right kidney and a mass over the left suprarenal area, which were further delineated by magnetic resonance imaging. The patient underwent laparoscopic right radical nephrectomy and left adrenalectomy. Histopathological analysis confirmed the diagnoses of clear cell renal cell carcinoma of the right kidney with metastasis to the lung; and atypical pheochromocytoma of the left adrenal gland. Target therapy was initiated, which resulted in stabilization of the patient's tumors and the recovery of her heart function. To avoid a delayed diagnosis and catastrophic outcome, clinicians should consider such rare causes of acute decompensated heart failure.
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Affiliation(s)
- H H Chen
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - S T Wu
- Division of Urology, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Y C Lin
- Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - C S Lin
- Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
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17
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Trujillo P, van Wouwe NC, Lin YC, Stark AJ, Petersen KJ, Kang H, Zald DH, Donahue MJ, Claassen DO. Dopamine effects on frontal cortical blood flow and motor inhibition in Parkinson's disease. Cortex 2019; 115:99-111. [PMID: 30776736 DOI: 10.1016/j.cortex.2019.01.016] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [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: 08/17/2018] [Revised: 12/15/2018] [Accepted: 01/17/2019] [Indexed: 12/31/2022]
Abstract
Parkinson's disease (PD) is characterized by dysfunction in frontal cortical and striatal networks that regulate action control. We investigated the pharmacological effect of dopamine agonist replacement therapy on frontal cortical activity and motor inhibition. Using Arterial Spin Labeling MRI, we examined 26 PD patients in the off- and on-dopamine agonist medication states to assess the effect of dopamine agonists on frontal cortical regional cerebral blood flow. Motor inhibition was measured by the Simon task in both medication states. We applied the dual process activation suppression model to dissociate fast response impulses from motor inhibition of incorrect responses. General linear regression model analyses determined the medication effect on regional cerebral blood flow and motor inhibition, and the relationship between regional cerebral blood flow and motor inhibitory proficiency. We show that dopamine agonist administration increases frontal cerebral blood flow, particularly in the pre-supplementary motor area (pre-SMA) and the dorsolateral prefrontal cortex (DLPFC). Higher regional blood flow in the pre-SMA, DLPFC and motor cortex was associated with better inhibitory control, suggesting that treatments which improve frontal cortical activity could ameliorate motor inhibition deficiency in PD patients.
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Affiliation(s)
- Paula Trujillo
- Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Ya-Chen Lin
- Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adam J Stark
- Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kalen J Petersen
- Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hakmook Kang
- Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - David H Zald
- Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Manus J Donahue
- Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Daniel O Claassen
- Neurology, Vanderbilt University Medical Center, Nashville, TN, USA.
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18
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Leng XR, Ye J, Zhou QL, Qi XH, Dong YH, Zhang LP, Zhang YF, Wang YP, Li LP, Lin YC. [Clinical features and gene analysis of TBC1D24 gene mutation related early-onset focal myoclonic epilepsy]. Zhonghua Yi Xue Za Zhi 2018; 98:445-449. [PMID: 29429257 DOI: 10.3760/cma.j.issn.0376-2491.2018.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the clinical features and genetic characteristics of patients with TBC1D24 gene mutation related early-onset focal myoclonic epilepsy. Methods: Clinical data of 3 patients with TBC1D24 gene mutation related early-onset focal myoclonic epilepsy of Xuanwu Hospital from November 2016 to June 2017 was collected and analyzed.Candidate gene mutations were screened by second generation sequencing. Results: Among the 3 patients, 1 was male and 2 were females.Seizure onset age was 4 months, 3 years and 5 years after birth respectively. Two patients had family history of epilepsy.They all had prolonged episodes of focal myoclonus. Two patients had mental retardation.Scalp electroencephalograms (EEG) was recorded in all 3 cases and myoclonic seizures were captured.The ictal EEGs were normal in all cases. In one patient, the ictal EEG of generalized seizure showed alpha rhythm originating from left fronto-central region. Brain magnetic resonance imaging (MRI) was normal in 2 patients. Abnormal signal was found bilaterally in cerebellum in 1 patient. The gene screening showed that two patients carried compound heterozygous mutation of TBC1D24 gene and one carried homozygous mutation, all of which were de novo mutations.All the patients were treated with multiple antiepileptic drugs (AEDs) and seizures were uncontrolled in 2 patients. One patient was followed up for 10 months without recurrence. Conclusions: TBC1D24 gene related early-onset focal myoclonic epilepsy is clinically characterized by early onset, prolonged focal myoclonus which relieved with sleep, mental retardation and poor response to AEDs.The interictal and ictal EEG usually show normal. Genetic analysis can assist in diagnosis and genetic counseling.
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Affiliation(s)
- X R Leng
- Department of Pediatrics, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
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Juttukonda MR, Franco G, Englot DJ, Lin YC, Petersen KJ, Trujillo P, Hedera P, Landman BA, Kang H, Donahue MJ, Konrad PE, Dawant BM, Claassen DO. White matter differences between essential tremor and Parkinson disease. Neurology 2018; 92:e30-e39. [PMID: 30504432 DOI: 10.1212/wnl.0000000000006694] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 09/05/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To assess white matter integrity in patients with essential tremor (ET) and Parkinson disease (PD) with moderate to severe motor impairment. METHODS Sedated participants with ET (n = 57) or PD (n = 99) underwent diffusion tensor imaging (DTI) and fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity values were computed. White matter tracts were defined using 3 well-described atlases. To determine candidate white matter regions that differ between ET and PD groups, a bootstrapping analysis was applied using the least absolute shrinkage and selection operator. Linear regression was applied to assess magnitude and direction of differences in DTI metrics between ET and PD populations in the candidate regions. RESULTS Fractional anisotropy values that differentiate ET from PD localize primarily to thalamic and visual-related pathways, while diffusivity differences localized to the cerebellar peduncles. Patients with ET exhibited lower fractional anisotropy values than patients with PD in the lateral geniculate body (p < 0.01), sagittal stratum (p = 0.01), forceps major (p = 0.02), pontine crossing tract (p = 0.03), and retrolenticular internal capsule (p = 0.04). Patients with ET exhibited greater radial diffusivity values than patients with PD in the superior cerebellar peduncle (p < 0.01), middle cerebellar peduncle (p = 0.05), and inferior cerebellar peduncle (p = 0.05). CONCLUSIONS Regionally, distinctive white matter microstructural values in patients with ET localize to the cerebellar peduncles and thalamo-cortical visual pathways. These findings complement recent functional imaging studies in ET but also extend our understanding of putative physiologic features that account for distinctions between ET and PD.
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Affiliation(s)
- Meher R Juttukonda
- From the Departments of Radiology and Radiological Sciences (M.R.J., M.J.D.), Neurological Surgery (D.J.E., P.E.K.), Biostatistics (Y.-C.L., H.K.), Neurology (P.T., P.H., M.J.D.), and Psychiatry (M.J.D.), Vanderbilt University Medical Center, Nashville, TN; Department of Pathophysiology and Transplantation (G.F.) University of Milan, Italy; and Chemical and Physical Biology Program (K.J.P.) and Departments of Electrical Engineering (B.A.L., B.M.D.), Computer Engineering (B.A.L., B.M.D.), Computer Science and Biomedical Engineering (B.A.L., B.M.D.), and Neurology (D.O.C.), Vanderbilt University, Nashville, TN
| | - Giulia Franco
- From the Departments of Radiology and Radiological Sciences (M.R.J., M.J.D.), Neurological Surgery (D.J.E., P.E.K.), Biostatistics (Y.-C.L., H.K.), Neurology (P.T., P.H., M.J.D.), and Psychiatry (M.J.D.), Vanderbilt University Medical Center, Nashville, TN; Department of Pathophysiology and Transplantation (G.F.) University of Milan, Italy; and Chemical and Physical Biology Program (K.J.P.) and Departments of Electrical Engineering (B.A.L., B.M.D.), Computer Engineering (B.A.L., B.M.D.), Computer Science and Biomedical Engineering (B.A.L., B.M.D.), and Neurology (D.O.C.), Vanderbilt University, Nashville, TN
| | - Dario J Englot
- From the Departments of Radiology and Radiological Sciences (M.R.J., M.J.D.), Neurological Surgery (D.J.E., P.E.K.), Biostatistics (Y.-C.L., H.K.), Neurology (P.T., P.H., M.J.D.), and Psychiatry (M.J.D.), Vanderbilt University Medical Center, Nashville, TN; Department of Pathophysiology and Transplantation (G.F.) University of Milan, Italy; and Chemical and Physical Biology Program (K.J.P.) and Departments of Electrical Engineering (B.A.L., B.M.D.), Computer Engineering (B.A.L., B.M.D.), Computer Science and Biomedical Engineering (B.A.L., B.M.D.), and Neurology (D.O.C.), Vanderbilt University, Nashville, TN
| | - Ya-Chen Lin
- From the Departments of Radiology and Radiological Sciences (M.R.J., M.J.D.), Neurological Surgery (D.J.E., P.E.K.), Biostatistics (Y.-C.L., H.K.), Neurology (P.T., P.H., M.J.D.), and Psychiatry (M.J.D.), Vanderbilt University Medical Center, Nashville, TN; Department of Pathophysiology and Transplantation (G.F.) University of Milan, Italy; and Chemical and Physical Biology Program (K.J.P.) and Departments of Electrical Engineering (B.A.L., B.M.D.), Computer Engineering (B.A.L., B.M.D.), Computer Science and Biomedical Engineering (B.A.L., B.M.D.), and Neurology (D.O.C.), Vanderbilt University, Nashville, TN
| | - Kalen J Petersen
- From the Departments of Radiology and Radiological Sciences (M.R.J., M.J.D.), Neurological Surgery (D.J.E., P.E.K.), Biostatistics (Y.-C.L., H.K.), Neurology (P.T., P.H., M.J.D.), and Psychiatry (M.J.D.), Vanderbilt University Medical Center, Nashville, TN; Department of Pathophysiology and Transplantation (G.F.) University of Milan, Italy; and Chemical and Physical Biology Program (K.J.P.) and Departments of Electrical Engineering (B.A.L., B.M.D.), Computer Engineering (B.A.L., B.M.D.), Computer Science and Biomedical Engineering (B.A.L., B.M.D.), and Neurology (D.O.C.), Vanderbilt University, Nashville, TN
| | - Paula Trujillo
- From the Departments of Radiology and Radiological Sciences (M.R.J., M.J.D.), Neurological Surgery (D.J.E., P.E.K.), Biostatistics (Y.-C.L., H.K.), Neurology (P.T., P.H., M.J.D.), and Psychiatry (M.J.D.), Vanderbilt University Medical Center, Nashville, TN; Department of Pathophysiology and Transplantation (G.F.) University of Milan, Italy; and Chemical and Physical Biology Program (K.J.P.) and Departments of Electrical Engineering (B.A.L., B.M.D.), Computer Engineering (B.A.L., B.M.D.), Computer Science and Biomedical Engineering (B.A.L., B.M.D.), and Neurology (D.O.C.), Vanderbilt University, Nashville, TN
| | - Peter Hedera
- From the Departments of Radiology and Radiological Sciences (M.R.J., M.J.D.), Neurological Surgery (D.J.E., P.E.K.), Biostatistics (Y.-C.L., H.K.), Neurology (P.T., P.H., M.J.D.), and Psychiatry (M.J.D.), Vanderbilt University Medical Center, Nashville, TN; Department of Pathophysiology and Transplantation (G.F.) University of Milan, Italy; and Chemical and Physical Biology Program (K.J.P.) and Departments of Electrical Engineering (B.A.L., B.M.D.), Computer Engineering (B.A.L., B.M.D.), Computer Science and Biomedical Engineering (B.A.L., B.M.D.), and Neurology (D.O.C.), Vanderbilt University, Nashville, TN
| | - Bennett A Landman
- From the Departments of Radiology and Radiological Sciences (M.R.J., M.J.D.), Neurological Surgery (D.J.E., P.E.K.), Biostatistics (Y.-C.L., H.K.), Neurology (P.T., P.H., M.J.D.), and Psychiatry (M.J.D.), Vanderbilt University Medical Center, Nashville, TN; Department of Pathophysiology and Transplantation (G.F.) University of Milan, Italy; and Chemical and Physical Biology Program (K.J.P.) and Departments of Electrical Engineering (B.A.L., B.M.D.), Computer Engineering (B.A.L., B.M.D.), Computer Science and Biomedical Engineering (B.A.L., B.M.D.), and Neurology (D.O.C.), Vanderbilt University, Nashville, TN
| | - Hakmook Kang
- From the Departments of Radiology and Radiological Sciences (M.R.J., M.J.D.), Neurological Surgery (D.J.E., P.E.K.), Biostatistics (Y.-C.L., H.K.), Neurology (P.T., P.H., M.J.D.), and Psychiatry (M.J.D.), Vanderbilt University Medical Center, Nashville, TN; Department of Pathophysiology and Transplantation (G.F.) University of Milan, Italy; and Chemical and Physical Biology Program (K.J.P.) and Departments of Electrical Engineering (B.A.L., B.M.D.), Computer Engineering (B.A.L., B.M.D.), Computer Science and Biomedical Engineering (B.A.L., B.M.D.), and Neurology (D.O.C.), Vanderbilt University, Nashville, TN
| | - Manus J Donahue
- From the Departments of Radiology and Radiological Sciences (M.R.J., M.J.D.), Neurological Surgery (D.J.E., P.E.K.), Biostatistics (Y.-C.L., H.K.), Neurology (P.T., P.H., M.J.D.), and Psychiatry (M.J.D.), Vanderbilt University Medical Center, Nashville, TN; Department of Pathophysiology and Transplantation (G.F.) University of Milan, Italy; and Chemical and Physical Biology Program (K.J.P.) and Departments of Electrical Engineering (B.A.L., B.M.D.), Computer Engineering (B.A.L., B.M.D.), Computer Science and Biomedical Engineering (B.A.L., B.M.D.), and Neurology (D.O.C.), Vanderbilt University, Nashville, TN
| | - Peter E Konrad
- From the Departments of Radiology and Radiological Sciences (M.R.J., M.J.D.), Neurological Surgery (D.J.E., P.E.K.), Biostatistics (Y.-C.L., H.K.), Neurology (P.T., P.H., M.J.D.), and Psychiatry (M.J.D.), Vanderbilt University Medical Center, Nashville, TN; Department of Pathophysiology and Transplantation (G.F.) University of Milan, Italy; and Chemical and Physical Biology Program (K.J.P.) and Departments of Electrical Engineering (B.A.L., B.M.D.), Computer Engineering (B.A.L., B.M.D.), Computer Science and Biomedical Engineering (B.A.L., B.M.D.), and Neurology (D.O.C.), Vanderbilt University, Nashville, TN
| | - Benoit M Dawant
- From the Departments of Radiology and Radiological Sciences (M.R.J., M.J.D.), Neurological Surgery (D.J.E., P.E.K.), Biostatistics (Y.-C.L., H.K.), Neurology (P.T., P.H., M.J.D.), and Psychiatry (M.J.D.), Vanderbilt University Medical Center, Nashville, TN; Department of Pathophysiology and Transplantation (G.F.) University of Milan, Italy; and Chemical and Physical Biology Program (K.J.P.) and Departments of Electrical Engineering (B.A.L., B.M.D.), Computer Engineering (B.A.L., B.M.D.), Computer Science and Biomedical Engineering (B.A.L., B.M.D.), and Neurology (D.O.C.), Vanderbilt University, Nashville, TN
| | - Daniel O Claassen
- From the Departments of Radiology and Radiological Sciences (M.R.J., M.J.D.), Neurological Surgery (D.J.E., P.E.K.), Biostatistics (Y.-C.L., H.K.), Neurology (P.T., P.H., M.J.D.), and Psychiatry (M.J.D.), Vanderbilt University Medical Center, Nashville, TN; Department of Pathophysiology and Transplantation (G.F.) University of Milan, Italy; and Chemical and Physical Biology Program (K.J.P.) and Departments of Electrical Engineering (B.A.L., B.M.D.), Computer Engineering (B.A.L., B.M.D.), Computer Science and Biomedical Engineering (B.A.L., B.M.D.), and Neurology (D.O.C.), Vanderbilt University, Nashville, TN.
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Lin YC, Chang YH. Poor appetite and long-term risk of falls among middle-aged and older adults: A longitudinal study. Eur J Public Health 2018. [DOI: 10.1093/eurpub/cky214.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- YC Lin
- Department of Chinese Medicine, China Medical University Hospital, Taichung City, Taiwan
| | - YH Chang
- Department of Public Health, China Medical University, Taichung City, Taiwan
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21
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Lin YC, Tsou CH, Hsueh WJ. Ultra-slow light in one-dimensional Cantor photonic crystals. Opt Lett 2018; 43:4120-4123. [PMID: 30160731 DOI: 10.1364/ol.43.004120] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 07/26/2018] [Indexed: 06/08/2023]
Abstract
Ultra-slow light and complete transmission properties in one-dimensional Cantor photonic crystals are presented. In contrast to traditional dielectric photonic crystals, the proposed structure has large group delay, slower group velocity, and a high quality factor within the same layers and materials. This study shows that larger than 1 μs group delay and slower than 1 m/s group velocity are achieved in the fifth-order Cantor photonic crystal with 52.75 μm length. This ultra-slow-light structure is very promising for application in advanced slow-light devices. A high quality factor of 109 and multiband filters with complete transmission can also be obtained by using this approach.
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22
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Petrov NV, Nalegaev SS, Belashov AV, Shevkunov IA, Putilin SE, Lin YC, Cheng CJ. Time-resolved inline digital holography for the study of noncollinear degenerate phase modulation. Opt Lett 2018; 43:3481-3484. [PMID: 30067690 DOI: 10.1364/ol.43.003481] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 06/08/2018] [Indexed: 06/08/2023]
Abstract
Recent works demonstrated that digital time-resolved holography is the prospective approach to study nonlinear light-matter interaction processes. In this Letter, we present a straightforward inline holographic approach for studying degenerate phase modulation induced by an inclined collimated pump beam in the isotropic sample. The method is based on a minimization of the difference between experimentally acquired data and simulated inline holograms obtained from a numerical model of pump-probe interaction in optical nonlinear media. A sophisticated experimental data processing algorithm is implemented to provide high sensitivity and a signal-to-noise ratio eligible for soft interaction with a collimated pump beam. The integral phase shift determined by our method can be used to estimate the nonlinear refractive index and the relaxation time for material with a low damage threshold. We validated our approach for the case of soda-lime and BK7 glasses.
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23
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Chen W, Wang S, Zhang HX, Ruan D, Xia WG, Cui YY, Zheng CT, Lin YC. Optimization of dietary zinc for egg production and antioxidant capacity in Chinese egg-laying ducks fed a diet based on corn-wheat bran and soybean meal. Poult Sci 2018; 96:2336-2343. [PMID: 28339968 DOI: 10.3382/ps/pex032] [Citation(s) in RCA: 19] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Accepted: 02/24/2017] [Indexed: 11/20/2022] Open
Abstract
The aim of this study was to evaluate the effect of zinc supplementation on productive performance and antioxidant status in laying ducks. Five-hundred-four laying ducks were divided into 7 treatments, each containing 6 replicates of 12 ducks. The ducks were caged individually and fed a corn-soybean meal and wheat bran basal diet (37 mg Zn/kg) or the basal diet supplemented with 15, 30, 45, 60, 75, or 90 mg Zn/kg (as zinc sulfate). During the early laying period of 10 d (daily egg production <80%), egg production, daily egg mass, and FCR increased quadratically with increasing dietary Zn levels (P < 0.05). The highest egg production and daily egg weight were obtained when 30 or 45 mg Zn/kg diet was supplemented, with lowest FCR. Similarly, the highest egg production and daily egg mass were observed in the group supplemented with 30 or 45 mg Zn/kg during the peak laying period of the subsequent 120 d (daily egg production >80%). Average egg weight and feed intake did not differ among the groups of graded Zn supplementation.The egg quality was not affected by dietary Zn, including the egg shape index, Haugh unit, yolk color score, egg composition, and shell thickness. The activities of plasma activities of total superoxide dismutase (T-SOD) and glutathione peroxidase (GSH-PX) increased in a quadratic manner (P < 0.001) with increasing supplemental Zn. Plasma concentration of Zn increased quadratically (P < 0.05) as dietary Zn increased. The hepatic activity of Cu/Zn-SOD and GSH-PX increased quadratically (P < 0.05) with increasing dietary Zn. Plasma Zn concentrations were positively correlated with activities of T-SOD (P < 0.05), and positively with plasma Cu. Plasma concentration of reduced glutathione was correlated with plasma Cu. In conclusion, supplementation of Zn at 30 or 45 mg/kg to a corn-wheat bran and soybean basal diet may improve the productive performance and enhance the antioxidant capacity.
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Affiliation(s)
- W Chen
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
| | - S Wang
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
| | - H X Zhang
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
| | - D Ruan
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
| | - W G Xia
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
| | - Y Y Cui
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
| | - C T Zheng
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
| | - Y C Lin
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.,State Key Laboratory of Livestock and Poultry Breeding, Guangzhou 510640, China.,Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture, Guangzhou 510640, China.,Guangdong Public Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China.,Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou 510640, China
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Petersen K, Van Wouwe N, Stark A, Lin YC, Kang H, Trujillo-Diaz P, Kessler R, Zald D, Donahue MJ, Claassen DO. Ventral striatal network connectivity reflects reward learning and behavior in patients with Parkinson's disease. Hum Brain Mapp 2017; 39:509-521. [PMID: 29086460 DOI: 10.1002/hbm.23860] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [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: 09/20/2017] [Accepted: 10/16/2017] [Indexed: 12/24/2022] Open
Abstract
A subgroup of Parkinson's disease (PD) patients treated with dopaminergic therapy develop compulsive reward-driven behaviors, which can result in life-altering morbidity. The mesocorticolimbic dopamine network guides reward-motivated behavior; however, its role in this treatment-related behavioral phenotype is incompletely understood. Here, mesocorticolimbic network function in PD patients who develop impulsive and compulsive behaviors (ICB) in response to dopamine agonists was assessed using BOLD fMRI. The tested hypothesis was that network connectivity between the ventral striatum and the limbic cortex is elevated in patients with ICB and that reward-learning proficiency reflects the extent of mesocorticolimbic network connectivity. To evaluate this hypothesis, 3.0T BOLD-fMRI was applied to measure baseline functional connectivity on and off dopamine agonist therapy in age and sex-matched PD patients with (n = 19) or without (n = 18) ICB. An incentive-based task was administered to a subset of patients (n = 20) to quantify positively or negatively reinforced learning. Whole-brain voxelwise analyses and region-of-interest-based mixed linear effects modeling were performed. Elevated ventral striatal connectivity to the anterior cingulate gyrus (P = 0.013), orbitofrontal cortex (P = 0.034), insula (P = 0.044), putamen (P = 0.014), globus pallidus (P < 0.01), and thalamus (P < 0.01) was observed in patients with ICB. A strong trend for elevated amygdala-to-midbrain connectivity was found in ICB patients on dopamine agonist. Ventral striatum-to-subgenual cingulate connectivity correlated with reward learning (P < 0.01), but not with punishment-avoidance learning. These data indicate that PD-ICB patients have elevated network connectivity in the mesocorticolimbic network. Behaviorally, proficient reward-based learning is related to this enhanced limbic and ventral striatal connectivity. Hum Brain Mapp 39:509-521, 2018. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Kalen Petersen
- Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee.,Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Nelleke Van Wouwe
- Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Adam Stark
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ya-Chen Lin
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Paula Trujillo-Diaz
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Robert Kessler
- Department of Radiology, University of Alabama School of Medicine, Birmingham, Alabama
| | - David Zald
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - Manus J Donahue
- Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee.,Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Daniel O Claassen
- Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee.,Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee
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Shi YK, Wang L, Han BH, Li W, Yu P, Liu YP, Ding CM, Song X, Ma ZY, Ren XL, Feng JF, Zhang HL, Chen GY, Han XH, Wu N, Yao C, Song Y, Zhang SC, Song W, Liu XQ, Zhao SJ, Lin YC, Ye XQ, Li K, Shu YQ, Ding LM, Tan FL, Sun Y. First-line icotinib versus cisplatin/pemetrexed plus pemetrexed maintenance therapy for patients with advanced EGFR mutation-positive lung adenocarcinoma (CONVINCE): a phase 3, open-label, randomized study. Ann Oncol 2017; 28:2443-2450. [PMID: 28945850 DOI: 10.1093/annonc/mdx359] [Citation(s) in RCA: 181] [Impact Index Per Article: 25.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Icotinib has been previously shown to be non-inferior to gefitinib in non-selected advanced non-small-cell lung cancer patients when given as second- or further-line treatment. In this open-label, randomized, phase 3 CONVINCE trial, we assessed the efficacy and safety of first-line icotinib versus cisplatin/pemetrexed plus pemetrexed maintenance in lung adenocarcinoma patients with epidermal growth factor receptor (EGFR) mutation. PATIENTS AND METHODS Eligible participants were adults with stage IIIB/IV lung adenocarcinoma and exon 19/21 EGFR mutations. Participants were randomly allocated (1 : 1) to receive oral icotinib or 3-week cycle of cisplatin plus pemetrexed for up to four cycles; non-progressive patients after four cycles were maintained with pemetrexed until disease progression or intolerable toxicity. The primary end point was progression-free survival (PFS) assessed by independent response evaluation committee. Other end points included overall survival (OS) and safety. RESULTS Between January 2013 and August 2014, 296 patients were randomized, and 285 patients were treated (148 to icotinib, 137 to chemotherapy). Independent response evaluation committee-assessed PFS was significantly longer in the icotinib group (11.2 versus 7.9 months; hazard ratio, 0.61, 95% confidence interval 0.43-0.87; P = 0.006). No significant difference for OS was observed between treatments in the overall population or in EGFR-mutated subgroups (exon 19 Del/21 L858R). The most common grade 3 or 4 adverse events (AEs) in the icotinib group were rash (14.8%) and diarrhea (7.4%), compared with nausea (45.9%), vomiting (29.2%), and neutropenia (10.9%) in the chemotherapy group. AEs (79.1% versus 94.2%; P < 0.001) and treatment-related AEs (54.1% versus 90.5%; P < 0.001) were significantly fewer in the icotinib group than in the chemotherapy group. CONCLUSIONS First-line icotinib significantly improves PFS of advanced lung adenocarcinoma patients with EGFR mutation with a tolerable and manageable safety profile. Icotinib should be considered as a first-line treatment for this patient population.
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Affiliation(s)
- Y K Shi
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing.
| | - L Wang
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - B H Han
- Department of Pulmonology, Shanghai Chest Hospital, Shanghai
| | - W Li
- Department of Oncology, The First Hospital Affiliated to Jilin University, Changchun
| | - P Yu
- Department of Lung Cancer Medical Oncology, Sichuan Cancer Hospital, Chengdu
| | - Y P Liu
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang
| | - C M Ding
- Department of Respiratory Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang
| | - X Song
- Department of Respiratory Medicine, Shanxi Provincial Tumor Hospital, Taiyuan
| | - Z Y Ma
- Department of Oncology, Henan Cancer Hospital, Zhengzhou
| | - X L Ren
- Department of Respiratory Medicine, Xijing Hospital, The Fourth Military Medical University, Xi'an
| | - J F Feng
- Department of Oncology, Jiangsu Cancer Hospital, Nanjing
| | - H L Zhang
- Department of Oncology, Tangdu Hospital, The Fourth Military Medical University, Xi'an
| | - G Y Chen
- Department of Medical Oncology, The Affiliated Tumor Hospital of Harbin Medical University, Harbin
| | - X H Han
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - N Wu
- Department of Imaging Diagnosis, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - C Yao
- Department of Biostatistics, Peking University Clinical Research Institute, Beijing
| | - Y Song
- Department of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing
| | - S C Zhang
- Department of Medical Oncology, Beijing Chest Hospital, Capital Medical University, Beijing
| | - W Song
- Department of Radiology, Peking Union Medical College Hospital, Beijing
| | - X Q Liu
- Department of Pulmonary Oncology, The 307th Hospital of Chinese People's Liberation Army, Beijing
| | - S J Zhao
- Department of Imaging Diagnosis, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Y C Lin
- Department of Medical Oncology, Cancer Hospital of Shantou University Medical College, Shantou
| | - X Q Ye
- Department of Respiratory Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang
| | - K Li
- Department of Thoracic Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin
| | - Y Q Shu
- Department of Oncology, Jiangsu Provincial Hospital, Nanjing
| | - L M Ding
- Betta Pharmaceuticals Co., Ltd, Hangzhou, China
| | - F L Tan
- Betta Pharmaceuticals Co., Ltd, Hangzhou, China
| | - Y Sun
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
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Wang SY, Chen SC, Lin YC, Kuo YC, Chen JY, Kao CM. Acidification and sulfide formation control during reductive dechlorination of 1,2-dichloroethane in groundwater: Effectiveness and mechanistic study. Chemosphere 2016; 160:216-229. [PMID: 27376861 DOI: 10.1016/j.chemosphere.2016.06.066] [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] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 03/21/2016] [Accepted: 06/17/2016] [Indexed: 06/06/2023]
Abstract
To enhance the reductive dechlorination of 1,2-dichloroethane (DCA) in groundwater, substrate injection may be required. However, substrate biodegradation causes groundwater acidification and sulfide production, which inhibits the bacteria responsible for DCA dechlorination and results in an odor problem. In the microcosm study, the effectiveness of the addition of ferrous sulfate (FS), desulfurization slag (DS), and nanoscale zero-valent iron (nZVI) on acidification and sulfide control was studied during reductive dechlorination of DCA, and the emulsified substrate (ES) was used as the substrate. Up to 94% of the sulfide was removed with FS and DS addition (0.25 wt%) (initial DCA concentration = 13.5 mg/L). FS and DS amendments resulted in the formation of a metal sulfide, which reduced the hydrogen sulfide concentration as well as the subsequent odor problem. Approximately 96% of the DCA was degraded under reductive dechlorination with nZVI or DS addition using ES as the substrate. In microcosms with nZVI or DS addition, the sulfide concentration was reduced to less than 15 μg/L. Acidification can be controlled via hydroxide ions production after nZVI oxidation and reaction of free CaO (released from DS) with water, which enhanced DCA dechlorination. The quantitative polymerase chain reaction results confirmed that the microcosms with nZVI added had the highest Dehalococcoides population (up to 2.5 × 10(8) gene copies/g soil) due to effective acidification control. The α-elimination mechanism was the main abiotic process, and reductive dechlorination dominated by Dehalococcides was the biotic mechanism that resulted in DCA removal. More than 22 bacterial species were detected, and dechlorinating bacteria existed in soils under alkaline and acidic conditions.
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Affiliation(s)
- S Y Wang
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - S C Chen
- Department of Life Sciences, National Central University, Chung-Li, Taiwan
| | - Y C Lin
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Y C Kuo
- Formosa Petrochemical Co., Kaohsiung, Taiwan
| | - J Y Chen
- Formosa Petrochemical Co., Kaohsiung, Taiwan
| | - C M Kao
- Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
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27
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Luo HY, Li YH, Wang W, Wang ZQ, Yuan X, Ma D, Wang FH, Zhang DS, Lin DR, Lin YC, Jia J, Hu XH, Peng JW, Xu RH. Single-agent capecitabine as maintenance therapy after induction of XELOX (or FOLFOX) in first-line treatment of metastatic colorectal cancer: randomized clinical trial of efficacy and safety. Ann Oncol 2016; 27:1074-1081. [PMID: 26940686 DOI: 10.1093/annonc/mdw101] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Accepted: 02/17/2016] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The optimal strategy of maintenance therapy for patients with mCRC is controversial. This study was to evaluate the efficacy and safety of maintenance therapy with capecitabine versus observation following inductive chemotherapy in patients with metastatic colorectal cancer. PATIENTS AND METHODS In this randomized, open-label, multicenter, phase III trial, patients who received 18-24 weeks of induction chemotherapy with XELOX or FOLFOX and achieved disease control were randomly assigned centrally (1:1) to receive maintenance therapy of capecitabine or only observation until disease progression. The primary end point was progression-free survival (PFS) from randomization; the secondary end points included overall survival (OS), PFS from induction treatment (PFS2) and safety. Analyses were done by intention to treat. This trial is registered with ClinicalTrials.gov, number NCT02027363. RESULTS Between 30 July 2010 and 15 September 2013, 274 patients were enrolled in the study from 11 sites in China and randomly assigned to maintenance group (n = 136) or observation group (n = 138). Clinicopathological characteristics were balanced in two groups. The median follow-up time from randomization was 29.0 months [interquartile range (IQR) 21-36 months]. The primary end point of PFS was statistically significantly longer in capecitabine maintenance group than in observation group {6.43 [95% confidence interval (CI) 5.26-7.71] versus 3.43 (2.83-4.16) months, HR 0.54 (0.42-0.70), P < 0.001}. The median OS of capecitabine maintenance group was longer than that of observation group, but not statistically significant [25.63 (22.46-27.80) versus 23.30 (19.68-26.92) months; HR 0.85 (0.64-1.11), P = 0.2247]. Similar safety profiles were observed in both arms. The most common grade 3 or 4 toxicities in capecitabine maintenance group versus observation group were neutropenia, hand-foot syndrome, and mucositis. CONCLUSIONS Maintenance therapy with a single agent of capecitabine can be considered an appropriate option following the induction of XELOX or FOLFOX in mCRC patients with acceptable toxicities. CLINICAL TRIALS NUMBER NCT02027363.
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Affiliation(s)
- H Y Luo
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou
| | - Y H Li
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou
| | - W Wang
- Department of Medical Oncology, The First People's Hospital of Foshan, Guangzhou
| | - Z Q Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou
| | - X Yuan
- Department of Medical Oncology, Huizhou Central Hospital, Huizhou
| | - D Ma
- Department of Medical Oncology, Guangdong General Hospital, Guangzhou
| | - F H Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou
| | - D S Zhang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou
| | - D R Lin
- Department of Medical Oncology, Jiangmen Central Hospital, Jiangmen
| | - Y C Lin
- Department of Medical Oncology, Cancer Hospital of Shantou University Medical College, Shantou
| | - J Jia
- Department of Medical Oncology, Dongguan People's Hospital, Dongguan
| | - X H Hu
- Department of Medical Oncology, Tumor Hospital of Guangxi Medical University, Nanning
| | - J W Peng
- Department of Medical Oncology, Zhongshan People's Hospital, Zhongshan, China
| | - R H Xu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou.
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28
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Hsiao J, Yuan TY, Tsai MS, Lu CY, Lin YC, Lee ML, Lin SW, Chang FC, Liu Pimentel H, Olive C, Coito C, Shen G, Young M, Thorne T, Lawrence M, Magistri M, Faghihi MA, Khorkova O, Wahlestedt C. Upregulation of Haploinsufficient Gene Expression in the Brain by Targeting a Long Non-coding RNA Improves Seizure Phenotype in a Model of Dravet Syndrome. EBioMedicine 2016; 9:257-277. [PMID: 27333023 PMCID: PMC4972487 DOI: 10.1016/j.ebiom.2016.05.011] [Citation(s) in RCA: 98] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 05/02/2016] [Accepted: 05/09/2016] [Indexed: 02/07/2023] Open
Abstract
Dravet syndrome is a devastating genetic brain disorder caused by heterozygous loss-of-function mutation in the voltage-gated sodium channel gene SCN1A. There are currently no treatments, but the upregulation of SCN1A healthy allele represents an appealing therapeutic strategy. In this study we identified a novel, evolutionary conserved mechanism controlling the expression of SCN1A that is mediated by an antisense non-coding RNA (SCN1ANAT). Using oligonucleotide-based compounds (AntagoNATs) targeting SCN1ANAT we were able to induce specific upregulation of SCN1A both in vitro and in vivo, in the brain of Dravet knock-in mouse model and a non-human primate. AntagoNAT-mediated upregulation of Scn1a in postnatal Dravet mice led to significant improvements in seizure phenotype and excitability of hippocampal interneurons. These results further elucidate the pathophysiology of Dravet syndrome and outline a possible new approach for the treatment of this and other genetic disorders with similar etiology.
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Affiliation(s)
- J Hsiao
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - T Y Yuan
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - M S Tsai
- Department of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University Hospital, College of Medicine, National Taiwan University, No. 1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan
| | - C Y Lu
- Department of Veterinary Medicine, School of Veterinary Medicine, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 106, Taiwan
| | - Y C Lin
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - M L Lee
- Dep. Clinical Laboratory Science and Medical Biotechnology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - S W Lin
- Department of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University Hospital, College of Medicine, National Taiwan University, No. 1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan; Department of Laboratory Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, No. 7, Chung-Shan S. Rd., Taipei 100, Taiwan; Center for Genomic Medicine, National Taiwan University, No. 7, Chung-Shan S. Rd., Taipei 100, Taiwan
| | - F C Chang
- Department of Veterinary Medicine, School of Veterinary Medicine, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 106, Taiwan; Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, No. 1, Sec. 1, Jen-Ai Rd., Taipei 100, Taiwan; Graduate Institute of Acupuncture Science, College of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - H Liu Pimentel
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - C Olive
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - C Coito
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - G Shen
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - M Young
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - T Thorne
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - M Lawrence
- RxGen, 100 Deepwood Drive, Hamden, CT 06517, USA
| | - M Magistri
- Center for Therapeutic Innovation and the Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1501 NW 10th Avenue, Miami 33136, FL, USA
| | - M A Faghihi
- Center for Therapeutic Innovation and the Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1501 NW 10th Avenue, Miami 33136, FL, USA
| | - O Khorkova
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - C Wahlestedt
- Center for Therapeutic Innovation and the Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1501 NW 10th Avenue, Miami 33136, FL, USA.
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29
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Lin YC, Hu WY. P-73 Develop a culturally oriented advance care planning intervention model for community older adults in taiwan – a study protocol. BMJ Support Palliat Care 2015. [DOI: 10.1136/bmjspcare-2015-000978.203] [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: 11/03/2022]
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30
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Pi TW, Lin YH, Fanchiang YT, Chiang TH, Wei CH, Lin YC, Wertheim GK, Kwo J, Hong M. In-situ atomic layer deposition of tri-methylaluminum and water on pristine single-crystal (In)GaAs surfaces: electronic and electric structures. Nanotechnology 2015; 26:164001. [PMID: 25824203 DOI: 10.1088/0957-4484/26/16/164001] [Citation(s) in RCA: 3] [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] [Indexed: 06/04/2023]
Abstract
The electronic structure of single-crystal (In)GaAs deposited with tri-methylaluminum (TMA) and water via atomic layer deposition (ALD) is presented with high-resolution synchrotron radiation core-level photoemission and capacitance-voltage (CV) characteristics. The interaction of the precursor atoms with (In)GaAs is confined at the topmost surface layer. The Ga-vacant site on the GaAs(111)A-2 × 2 surface is filled with Al, thereby effectively passivating the As dangling bonds. The As-As dimers on the GaAs(001)-2 × 4 surface are entirely passivated by one cycle of TMA and water. The presumed layerwise deposition fails to happen in GaAs(001)-4 × 6. In In0.20Ga0.80As(001)-2 × 4, the edge row As atoms are partially bonded with the Al, and one released methyl then bonds with the In. It is suggested that the unpassivated surface and subsurface atoms cause large frequency dispersions in CV characteristics under the gate bias. We also found that the (In)GaAs surface is immune to water in ALD. However, the momentary exposure of it to air (less than one minute) introduces significant signals of native oxides. This indicates the necessity of in situ works of high κ/(In)GaAs-related experiments in order to know the precise interfacial atomic bonding and thus know the electronic characteristics. The electric CV measurements of the ALD-Al2O3 on these (In)GaAs surfaces are correlated with their electronic properties.
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Affiliation(s)
- T W Pi
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
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31
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Lin YC, Su KW, Huang KF, Chen YF. Pattern formation of second harmonic conical waves in a nonlinear medium with extended defect structure. Opt Express 2014; 22:27859-27868. [PMID: 25402028 DOI: 10.1364/oe.22.027859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
We experimentally demonstrate the propagation of the conical second harmonic fields generated from a nonlinear crystal with extended defects to investigate their pattern formation. The generated second harmonic waves are found to be the interference of multiple Bessel-like beams that originate from distinct longitudinal layers inside the crystal. To reconstruct the experimental results, we model the individual Bessel-like beam to be the superposition of an ensemble of identical decentered Gaussian waves with random phases. We present that the randomness of the phases leads the Bessel-like beams to show wave profiles with different extent of localization. Moreover, we use the coherent superposition of the developed wave functions with a phase factor to manifest the interference of multiple Bessel-like beams. The relative phases among the Bessel-like beams are shown to be closely related to the near and far-field patterns. With the experimental observations and the theoretical model, the relative phases are decided to successfully reconstruct the propagation characteristics of the multiple Bessel-like beams.
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32
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An FP, Balantekin AB, Band HR, Beriguete W, Bishai M, Blyth S, Butorov I, Cao GF, Cao J, Chan YL, Chang JF, Chang LC, Chang Y, Chasman C, Chen H, Chen QY, Chen SM, Chen X, Chen X, Chen YX, Chen Y, Cheng YP, Cherwinka JJ, Chu MC, Cummings JP, de Arcos J, Deng ZY, Ding YY, Diwan MV, Draeger E, Du XF, Dwyer DA, Edwards WR, Ely SR, Fu JY, Ge LQ, Gill R, Gonchar M, Gong GH, Gong H, Grassi M, Gu WQ, Guan MY, Guo XH, Hackenburg RW, Han GH, Hans S, He M, Heeger KM, Heng YK, Hinrichs P, Hor YK, Hsiung YB, Hu BZ, Hu LM, Hu LJ, Hu T, Hu W, Huang EC, Huang H, Huang XT, Huber P, Hussain G, Isvan Z, Jaffe DE, Jaffke P, Jen KL, Jetter S, Ji XP, Ji XL, Jiang HJ, Jiao JB, Johnson RA, Kang L, Kettell SH, Kramer M, Kwan KK, Kwok MW, Kwok T, Lai WC, Lau K, Lebanowski L, Lee J, Lei RT, Leitner R, Leung A, Leung JKC, Lewis CA, Li DJ, Li F, Li GS, Li QJ, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin PY, Lin SK, Lin YC, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu DW, Liu H, Liu JL, Liu JC, Liu SS, Liu YB, Lu C, Lu HQ, Luk KB, Ma QM, Ma XY, Ma XB, Ma YQ, McDonald KT, McFarlane MC, McKeown RD, Meng Y, Mitchell I, Monari Kebwaro J, Nakajima Y, Napolitano J, Naumov D, Naumova E, Nemchenok I, Ngai HY, Ning Z, Ochoa-Ricoux JP, Olshevski A, Patton S, Pec V, Peng JC, Piilonen LE, Pinsky L, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren B, Ren J, Rosero R, Roskovec B, Ruan XC, Shao BB, Steiner H, Sun GX, Sun JL, Tam YH, Tang X, Themann H, Tsang KV, Tsang RHM, Tull CE, Tung YC, Viren B, Vorobel V, Wang CH, Wang LS, Wang LY, Wang M, Wang NY, Wang RG, Wang W, Wang WW, Wang X, Wang YF, Wang Z, Wang Z, Wang ZM, Webber DM, Wei HY, Wei YD, Wen LJ, Whisnant K, White CG, Whitehead L, Wise T, Wong HLH, Wong SCF, Worcester E, Wu Q, Xia DM, Xia JK, Xia X, Xing ZZ, Xu JY, Xu JL, Xu J, Xu Y, Xue T, Yan J, Yang CC, Yang L, Yang MS, Yang MT, Ye M, Yeh M, Yeh YS, Young BL, Yu GY, Yu JY, Yu ZY, Zang SL, Zeng B, Zhan L, Zhang C, Zhang FH, Zhang JW, Zhang QM, Zhang Q, Zhang SH, Zhang YC, Zhang YM, Zhang YH, Zhang YX, Zhang ZJ, Zhang ZY, Zhang ZP, Zhao J, Zhao QW, Zhao Y, Zhao YB, Zheng L, Zhong WL, Zhou L, Zhou ZY, Zhuang HL, Zou JH. Search for a light sterile neutrino at Daya Bay. Phys Rev Lett 2014; 113:141802. [PMID: 25325631 DOI: 10.1103/physrevlett.113.141802] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Indexed: 06/04/2023]
Abstract
A search for light sterile neutrino mixing was performed with the first 217 days of data from the Daya Bay Reactor Antineutrino Experiment. The experiment's unique configuration of multiple baselines from six 2.9 GW(th) nuclear reactors to six antineutrino detectors deployed in two near (effective baselines 512 m and 561 m) and one far (1579 m) underground experimental halls makes it possible to test for oscillations to a fourth (sterile) neutrino in the 10(-3) eV(2)<|Δm(41)(2) |< 0.3 eV(2) range. The relative spectral distortion due to the disappearance of electron antineutrinos was found to be consistent with that of the three-flavor oscillation model. The derived limits on sin(2) 2θ(14) cover the 10(-3) eV(2) ≲ |Δm(41)(2)| ≲ 0.1 eV(2) region, which was largely unexplored.
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Affiliation(s)
- F P An
- Institute of Modern Physics, East China University of Science and Technology, Shanghai
| | | | - H R Band
- University of Wisconsin, Madison, Wisconsin, USA
| | - W Beriguete
- Brookhaven National Laboratory, Upton, New York, USA
| | - M Bishai
- Brookhaven National Laboratory, Upton, New York, USA
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - I Butorov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - Y L Chan
- Chinese University of Hong Kong, Hong Kong
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - L C Chang
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - Y Chang
- National United University, Miao-Li
| | - C Chasman
- Brookhaven National Laboratory, Upton, New York, USA
| | - H Chen
- Institute of High Energy Physics, Beijing
| | | | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X Chen
- Chinese University of Hong Kong, Hong Kong
| | - X Chen
- Institute of High Energy Physics, Beijing
| | - Y X Chen
- North China Electric Power University, Beijing
| | - Y Chen
- Shenzhen University, Shenzhen
| | - Y P Cheng
- Institute of High Energy Physics, Beijing
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - J de Arcos
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois, USA
| | - Z Y Deng
- Institute of High Energy Physics, Beijing
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York, USA
| | - E Draeger
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois, USA
| | - X F Du
- Institute of High Energy Physics, Beijing
| | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - W R Edwards
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - S R Ely
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - J Y Fu
- Institute of High Energy Physics, Beijing
| | - L Q Ge
- Chengdu University of Technology, Chengdu
| | - R Gill
- Brookhaven National Laboratory, Upton, New York, USA
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - M Grassi
- Institute of High Energy Physics, Beijing
| | - W Q Gu
- Shanghai Jiao Tong University, Shanghai
| | - M Y Guan
- Institute of High Energy Physics, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | | | - G H Han
- College of William and Mary, Williamsburg, Virginia, USA
| | - S Hans
- Brookhaven National Laboratory, Upton, New York, USA
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- University of Wisconsin, Madison, Wisconsin, USA and Department of Physics, Yale University, New Haven, Connecticut, USA
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - P Hinrichs
- University of Wisconsin, Madison, Wisconsin, USA
| | - Y K Hor
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia, USA
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - L M Hu
- Brookhaven National Laboratory, Upton, New York, USA
| | - L J Hu
- Beijing Normal University, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - W Hu
- Institute of High Energy Physics, Beijing
| | - E C Huang
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - H Huang
- China Institute of Atomic Energy, Beijing
| | | | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia, USA
| | - G Hussain
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z Isvan
- Brookhaven National Laboratory, Upton, New York, USA
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York, USA
| | - P Jaffke
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia, USA
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Jetter
- Institute of High Energy Physics, Beijing
| | - X P Ji
- School of Physics, Nankai University, Tianjin
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - H J Jiang
- Chengdu University of Technology, Chengdu
| | | | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio, USA
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York, USA
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California, USA and Department of Physics, University of California, Berkeley, California, USA
| | - K K Kwan
- Chinese University of Hong Kong, Hong Kong
| | - M W Kwok
- Chinese University of Hong Kong, Hong Kong
| | - T Kwok
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - W C Lai
- Chengdu University of Technology, Chengdu
| | - K Lau
- Department of Physics, University of Houston, Houston, Texas, USA
| | - L Lebanowski
- Department of Engineering Physics, Tsinghua University, Beijing
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - A Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - C A Lewis
- University of Wisconsin, Madison, Wisconsin, USA
| | - D J Li
- University of Science and Technology of China, Hefei
| | - F Li
- Institute of High Energy Physics, Beijing and Chengdu University of Technology, Chengdu
| | - G S Li
- Shanghai Jiao Tong University, Shanghai
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - P Y Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S K Lin
- Department of Physics, University of Houston, Houston, Texas, USA
| | - Y C Lin
- Chengdu University of Technology, Chengdu
| | - J J Ling
- Brookhaven National Laboratory, Upton, New York, USA and Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia, USA
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York, USA
| | - B R Littlejohn
- Department of Physics, University of Cincinnati, Cincinnati, Ohio, USA
| | - D W Liu
- Department of Physics, University of Houston, Houston, Texas, USA
| | - H Liu
- Department of Physics, University of Houston, Houston, Texas, USA
| | - J L Liu
- Shanghai Jiao Tong University, Shanghai
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - S S Liu
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - Y B Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey, USA
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California, USA and Department of Physics, University of California, Berkeley, California, USA
| | - Q M Ma
- Institute of High Energy Physics, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - X B Ma
- North China Electric Power University, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey, USA
| | | | - R D McKeown
- College of William and Mary, Williamsburg, Virginia, USA and California Institute of Technology, Pasadena, California, USA
| | - Y Meng
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia, USA
| | - I Mitchell
- Department of Physics, University of Houston, Houston, Texas, USA
| | | | - Y Nakajima
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania, USA
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - I Nemchenok
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - H Y Ngai
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - Z Ning
- Institute of High Energy Physics, Beijing
| | - J P Ochoa-Ricoux
- Lawrence Berkeley National Laboratory, Berkeley, California, USA and Instituto de Física, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - A Olshevski
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - V Pec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - L E Piilonen
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia, USA
| | - L Pinsky
- Department of Physics, University of Houston, Houston, Texas, USA
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York, USA
| | - N Raper
- Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, Troy, New York, USA
| | - B Ren
- Dongguan University of Technology, Dongguan
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York, USA
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B B Shao
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California, USA and Department of Physics, University of California, Berkeley, California, USA
| | - G X Sun
- Institute of High Energy Physics, Beijing
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - Y H Tam
- Chinese University of Hong Kong, Hong Kong
| | - X Tang
- Institute of High Energy Physics, Beijing
| | - H Themann
- Brookhaven National Laboratory, Upton, New York, USA
| | - K V Tsang
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - R H M Tsang
- California Institute of Technology, Pasadena, California, USA
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Y C Tung
- Department of Physics, National Taiwan University, Taipei
| | - B Viren
- Brookhaven National Laboratory, Upton, New York, USA
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - L S Wang
- Institute of High Energy Physics, Beijing
| | - L Y Wang
- Institute of High Energy Physics, Beijing
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- College of William and Mary, Williamsburg, Virginia, USA and Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - D M Webber
- University of Wisconsin, Madison, Wisconsin, USA
| | - H Y Wei
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y D Wei
- Dongguan University of Technology, Dongguan
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois, USA
| | - L Whitehead
- Department of Physics, University of Houston, Houston, Texas, USA
| | - T Wise
- University of Wisconsin, Madison, Wisconsin, USA
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California, USA and Department of Physics, University of California, Berkeley, California, USA
| | - S C F Wong
- Chinese University of Hong Kong, Hong Kong
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York, USA
| | - Q Wu
- Shandong University, Jinan
| | - D M Xia
- Institute of High Energy Physics, Beijing
| | - J K Xia
- Institute of High Energy Physics, Beijing
| | - X Xia
- Shandong University, Jinan
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - J Y Xu
- Chinese University of Hong Kong, Hong Kong
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - J Xu
- Beijing Normal University, Beijing
| | - Y Xu
- School of Physics, Nankai University, Tianjin
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - J Yan
- Xi'an Jiaotong University, Xi'an
| | - C C Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - M S Yang
- Institute of High Energy Physics, Beijing
| | | | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York, USA
| | - Y S Yeh
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - B L Young
- Iowa State University, Ames, Iowa, USA
| | - G Y Yu
- Nanjing University, Nanjing
| | - J Y Yu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | | | - B Zeng
- Chengdu University of Technology, Chengdu
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York, USA
| | - F H Zhang
- Institute of High Energy Physics, Beijing
| | - J W Zhang
- Institute of High Energy Physics, Beijing
| | | | - Q Zhang
- Chengdu University of Technology, Chengdu
| | - S H Zhang
- Institute of High Energy Physics, Beijing
| | - Y C Zhang
- University of Science and Technology of China, Hefei
| | - Y M Zhang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y H Zhang
- Institute of High Energy Physics, Beijing
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - Q W Zhao
- Institute of High Energy Physics, Beijing
| | - Y Zhao
- North China Electric Power University, Beijing and College of William and Mary, Williamsburg, Virginia, USA
| | - Y B Zhao
- Institute of High Energy Physics, Beijing
| | - L Zheng
- University of Science and Technology of China, Hefei
| | - W L Zhong
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - Z Y Zhou
- China Institute of Atomic Energy, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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Tanigawa S, Lee CH, Lin CS, Ku CC, Hasegawa H, Qin S, Kawahara A, Korenori Y, Miyamori K, Noguchi M, Lee LH, Lin YC, Lin CLS, Nakamura Y, Jin C, Yamaguchi N, Eckner R, Hou DX, Yokoyama KK. Erratum: Jun dimerization protein 2 is a critical component of the Nrf2/MafK complex regulating the response to ROS homeostasis. Cell Death Dis 2014. [PMCID: PMC4123110 DOI: 10.1038/cddis.2014.322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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34
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An FP, Balantekin AB, Band HR, Beriguete W, Bishai M, Blyth S, Brown RL, Butorov I, Cao GF, Cao J, Carr R, Chan YL, Chang JF, Chang Y, Chasman C, Chen HS, Chen HY, Chen SJ, Chen SM, Chen XC, Chen XH, Chen Y, Chen YX, Cheng YP, Cherwinka JJ, Chu MC, Cummings JP, de Arcos J, Deng ZY, Ding YY, Diwan MV, Draeger E, Du XF, Dwyer DA, Edwards WR, Ely SR, Fu JY, Ge LQ, Gill R, Gonchar M, Gong GH, Gong H, Gornushkin YA, Gu WQ, Guan MY, Guo XH, Hackenburg RW, Hahn RL, Han GH, Hans S, He M, Heeger KM, Heng YK, Hinrichs P, Hor Y, Hsiung YB, Hu BZ, Hu LJ, Hu LM, Hu T, Hu W, Huang EC, Huang HX, Huang HZ, Huang XT, Huber P, Hussain G, Isvan Z, Jaffe DE, Jaffke P, Jetter S, Ji XL, Ji XP, Jiang HJ, Jiao JB, Johnson RA, Kang L, Kettell SH, Kramer M, Kwan KK, Kwok MW, Kwok T, Lai WC, Lai WH, Lau K, Lebanowski L, Lee J, Lei RT, Leitner R, Leung A, Leung JKC, Lewis CA, Li DJ, Li F, Li GS, Li QJ, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin SK, Lin YC, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu DW, Liu H, Liu JC, Liu JL, Liu SS, Liu YB, Lu C, Lu HQ, Luk KB, Ma QM, Ma XB, Ma XY, Ma YQ, McDonald KT, McFarlane MC, McKeown RD, Meng Y, Mitchell I, Nakajima Y, Napolitano J, Naumov D, Naumova E, Nemchenok I, Ngai HY, Ngai WK, Ning Z, Ochoa-Ricoux JP, Olshevski A, Patton S, Pec V, Peng JC, Piilonen LE, Pinsky L, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren B, Ren J, Rosero R, Roskovec B, Ruan XC, Shao BB, Steiner H, Sun GX, Sun JL, Tam YH, Tanaka HK, Tang X, Themann H, Trentalange S, Tsai O, Tsang KV, Tsang RHM, Tull CE, Tung YC, Viren B, Vorobel V, Wang CH, Wang LS, Wang LY, Wang LZ, Wang M, Wang NY, Wang RG, Wang W, Wang WW, Wang X, Wang YF, Wang Z, Wang Z, Wang ZM, Webber DM, Wei H, Wei YD, Wen LJ, Whisnant K, White CG, Whitehead L, Wise T, Wong HLH, Wong SCF, Worcester E, Wu Q, Xia DM, Xia JK, Xia X, Xing ZZ, Xu J, Xu JL, Xu JY, Xu Y, Xue T, Yan J, Yang CG, Yang L, Yang MS, Ye M, Yeh M, Yeh YS, Young BL, Yu GY, Yu JY, Yu ZY, Zang SL, Zhan L, Zhang C, Zhang FH, Zhang JW, Zhang QM, Zhang SH, Zhang YC, Zhang YH, Zhang YM, Zhang YX, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao QW, Zhao YB, Zheng L, Zhong WL, Zhou L, Zhou ZY, Zhuang HL, Zou JH. Spectral measurement of electron antineutrino oscillation amplitude and frequency at Daya Bay. Phys Rev Lett 2014; 112:061801. [PMID: 24580686 DOI: 10.1103/physrevlett.112.061801] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2013] [Indexed: 06/03/2023]
Abstract
A measurement of the energy dependence of antineutrino disappearance at the Daya Bay reactor neutrino experiment is reported. Electron antineutrinos (ν¯(e)) from six 2.9 GW(th) reactors were detected with six detectors deployed in two near (effective baselines 512 and 561 m) and one far (1579 m) underground experimental halls. Using 217 days of data, 41 589 (203 809 and 92 912) antineutrino candidates were detected in the far hall (near halls). An improved measurement of the oscillation amplitude sin(2)2θ(13)=0.090(-0.009)(+0.008) and the first direct measurement of the ν¯(e) mass-squared difference |Δm(ee)2|=(2.59(-0.20)(+0.19))×10(-3) eV2 is obtained using the observed ν¯(e) rates and energy spectra in a three-neutrino framework. This value of |Δm(ee)2| is consistent with |Δm(μμ)2| measured by muon neutrino disappearance, supporting the three-flavor oscillation model.
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Affiliation(s)
- F P An
- Institute of High Energy Physics, Beijing and East China University of Science and Technology, Shanghai
| | | | - H R Band
- University of Wisconsin, Madison, Wisconsin
| | - W Beriguete
- Brookhaven National Laboratory, Upton, New York
| | - M Bishai
- Brookhaven National Laboratory, Upton, New York
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - R L Brown
- Brookhaven National Laboratory, Upton, New York
| | - I Butorov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - R Carr
- California Institute of Technology, Pasadena, California
| | - Y L Chan
- Chinese University of Hong Kong, Hong Kong
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - C Chasman
- Brookhaven National Laboratory, Upton, New York
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | | | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X C Chen
- Chinese University of Hong Kong, Hong Kong
| | - X H Chen
- Institute of High Energy Physics, Beijing
| | - Y Chen
- Shenzhen Univeristy, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - Y P Cheng
- Institute of High Energy Physics, Beijing
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - J de Arcos
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - Z Y Deng
- Institute of High Energy Physics, Beijing
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York
| | - E Draeger
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - X F Du
- Institute of High Energy Physics, Beijing
| | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - W R Edwards
- Lawrence Berkeley National Laboratory, Berkeley, California and Department of Physics, University of California, Berkeley, California
| | - S R Ely
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | - J Y Fu
- Institute of High Energy Physics, Beijing
| | - L Q Ge
- Chengdu University of Technology, Chengdu
| | - R Gill
- Brookhaven National Laboratory, Upton, New York
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y A Gornushkin
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W Q Gu
- Shanghai Jiao Tong University, Shanghai
| | - M Y Guan
- Institute of High Energy Physics, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | | | - R L Hahn
- Brookhaven National Laboratory, Upton, New York
| | - G H Han
- College of William and Mary, Williamsburg, Virginia
| | - S Hans
- Brookhaven National Laboratory, Upton, New York
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Department of Physics, Yale University, New Haven, Connecticut
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - P Hinrichs
- University of Wisconsin, Madison, Wisconsin
| | - Yk Hor
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - L J Hu
- Beijing Normal University, Beijing
| | - L M Hu
- Brookhaven National Laboratory, Upton, New York
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - W Hu
- Institute of High Energy Physics, Beijing
| | - E C Huang
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - H Z Huang
- University of California, Los Angeles, California
| | | | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia
| | - G Hussain
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z Isvan
- Brookhaven National Laboratory, Upton, New York
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York
| | - P Jaffke
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia
| | - S Jetter
- Institute of High Energy Physics, Beijing
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- School of Physics, Nankai University, Tianjin
| | - H J Jiang
- Chengdu University of Technology, Chengdu
| | | | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California and Department of Physics, University of California, Berkeley, California
| | - K K Kwan
- Chinese University of Hong Kong, Hong Kong
| | - M W Kwok
- Chinese University of Hong Kong, Hong Kong
| | - T Kwok
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - W C Lai
- Chengdu University of Technology, Chengdu
| | - W H Lai
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - K Lau
- Department of Physics, University of Houston, Houston, Texas
| | - L Lebanowski
- Department of Engineering Physics, Tsinghua University, Beijing
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - A Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - C A Lewis
- University of Wisconsin, Madison, Wisconsin
| | - D J Li
- University of Science and Technology of China, Hefei
| | - F Li
- Institute of High Energy Physics, Beijing
| | - G S Li
- Shanghai Jiao Tong University, Shanghai
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S K Lin
- Department of Physics, University of Houston, Houston, Texas
| | - Y C Lin
- Chengdu University of Technology, Chengdu
| | - J J Ling
- Brookhaven National Laboratory, Upton, New York
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia
| | | | - B R Littlejohn
- Department of Physics, University of Cincinnati, Cincinnati, Ohio
| | - D W Liu
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois and Department of Physics, University of Houston, Houston, Texas
| | - H Liu
- Department of Physics, University of Houston, Houston, Texas
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Shanghai Jiao Tong University, Shanghai
| | - S S Liu
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - Y B Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California and Department of Physics, University of California, Berkeley, California
| | - Q M Ma
- Institute of High Energy Physics, Beijing
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey
| | | | - R D McKeown
- College of William and Mary, Williamsburg, Virginia
| | - Y Meng
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia
| | - I Mitchell
- Department of Physics, University of Houston, Houston, Texas
| | - Y Nakajima
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - J Napolitano
- Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, Troy, New York
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - I Nemchenok
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - H Y Ngai
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - W K Ngai
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | - Z Ning
- Institute of High Energy Physics, Beijing
| | | | - A Olshevski
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - V Pec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | - L E Piilonen
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia
| | - L Pinsky
- Department of Physics, University of Houston, Houston, Texas
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York and California Institute of Technology, Pasadena, California
| | - N Raper
- Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, Troy, New York
| | - B Ren
- Dongguan University of Technology, Dongguan
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B B Shao
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California and Department of Physics, University of California, Berkeley, California
| | - G X Sun
- Institute of High Energy Physics, Beijing
| | - J L Sun
- China Guangdong Nuclear Power Group, Shenzhen
| | - Y H Tam
- Chinese University of Hong Kong, Hong Kong
| | - H K Tanaka
- Brookhaven National Laboratory, Upton, New York
| | - X Tang
- Institute of High Energy Physics, Beijing
| | - H Themann
- Brookhaven National Laboratory, Upton, New York
| | | | - O Tsai
- University of California, Los Angeles, California
| | - K V Tsang
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - R H M Tsang
- California Institute of Technology, Pasadena, California
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - Y C Tung
- Department of Physics, National Taiwan University, Taipei
| | - B Viren
- Brookhaven National Laboratory, Upton, New York
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - L S Wang
- Institute of High Energy Physics, Beijing
| | - L Y Wang
- Institute of High Energy Physics, Beijing
| | - L Z Wang
- North China Electric Power University, Beijing
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- College of William and Mary, Williamsburg, Virginia
| | | | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - D M Webber
- University of Wisconsin, Madison, Wisconsin
| | - H Wei
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y D Wei
- Dongguan University of Technology, Dongguan
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - L Whitehead
- Department of Physics, University of Houston, Houston, Texas
| | - T Wise
- University of Wisconsin, Madison, Wisconsin
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California and Department of Physics, University of California, Berkeley, California
| | - S C F Wong
- Chinese University of Hong Kong, Hong Kong
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York
| | - Q Wu
- Shandong University, Jinan
| | - D M Xia
- Institute of High Energy Physics, Beijing
| | - J K Xia
- Institute of High Energy Physics, Beijing
| | - X Xia
- Shandong University, Jinan
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - J Xu
- Beijing Normal University, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - J Y Xu
- Chinese University of Hong Kong, Hong Kong
| | - Y Xu
- School of Physics, Nankai University, Tianjin
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - J Yan
- Xi'an Jiaotong University, Xi'an
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - M S Yang
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York
| | - Y S Yeh
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | | | - G Y Yu
- Nanjing University, Nanjing
| | - J Y Yu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | | | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York
| | - F H Zhang
- Institute of High Energy Physics, Beijing
| | - J W Zhang
- Institute of High Energy Physics, Beijing
| | | | - S H Zhang
- Institute of High Energy Physics, Beijing
| | - Y C Zhang
- University of Science and Technology of China, Hefei
| | - Y H Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y X Zhang
- China Guangdong Nuclear Power Group, Shenzhen
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - Q W Zhao
- Institute of High Energy Physics, Beijing
| | - Y B Zhao
- Institute of High Energy Physics, Beijing
| | - L Zheng
- University of Science and Technology of China, Hefei
| | - W L Zhong
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - Z Y Zhou
- China Institute of Atomic Energy, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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35
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Chen W, Lv YT, Zhang HX, Ruan D, Wang S, Lin YC. Developmental specificity in skeletal muscle of late-term avian embryos and its potential manipulation. Poult Sci 2013; 92:2754-64. [PMID: 24046424 DOI: 10.3382/ps.2013-03099] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Unlike the mammalian fetus, development of the avian embryo is independent of the maternal uterus and is potentially vulnerable to physiological and environmental stresses close to hatch. In contrast to the fetus of late gestation in mammals, skeletal muscle in avian embryos during final incubation shows differential developmental characteristics: 1) muscle mobilization (also called atrophy) is selectively enhanced in the type II fibers (pectoral muscle) but not in the type I fibers (biceps femoris and semimembranosus muscle), involving activation of ubiquitin-mediated protein degradation and suppression of S6K1-mediated protein translation; 2) the proliferative activity of satellite cells is decreased in the atrophied muscle of late-term embryos but enhanced at the day of hatch, probably preparing for the postnatal growth. The mobilization of muscle may represent an adaptive response of avian embryos to external (environmental) or internal (physiological) changes, considering there are developmental transitions both in hormones and requirements for glycolytic substrates from middle-term to late-term incubation. Although the exact mechanism triggering muscle fiber atrophy is still unknown, nutritional and endocrine changes may be of importance. The atrophied muscle fiber recovers as soon as feed and water are available to the hatchling. In ovo feeding of late-term embryos has been applied to improve the nutritional status and therein enhances muscle development. Similarly, in ovo exposure to higher temperature or green light during the critical period of muscle development are also demonstrated to be potential strategies to promote pre- and posthatch muscle growth.
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Affiliation(s)
- W Chen
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
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36
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Yang SK, Tan N, Yan XM, Chen F, Long W, Lin YC. Thorium(IV) removal from aqueous medium by citric acid treated mangrove endophytic fungus Fusarium sp. #ZZF51. Mar Pollut Bull 2013; 74:213-219. [PMID: 23871201 DOI: 10.1016/j.marpolbul.2013.06.055] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2013] [Revised: 06/23/2013] [Accepted: 06/26/2013] [Indexed: 06/02/2023]
Abstract
Thorium(IV) biosorption is investigated by citric acid treated mangrove endophytic fungus Fussarium sp. #ZZF51 (CA-ZZF51) from South China Sea. The biosorption process was optimized at pH 4.5, equilibrium time 90 min, initial thorium(IV) concentration 50 mg L(-1) and adsorbent dose 0.6 g L(-1) with 90.87% of removal efficiency and 75.47 mg g(-1) of adsorption capacity, which is obviously greater than that (11.35 mg g(-1)) of the untreated fungus Fussarium sp. #ZZF51 for thorium(IV) biosorption under the condition of optimization. The experimental data are analyzed by using isotherm and kinetic models. Kinetic data follow the pseudo-second-order model and equilibrium data agree very well with the Langmuir model. In addition, FTIR analysis indicates that hydroxyl, amino, and carbonyl groups act as the important roles in the adsorption process.
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Affiliation(s)
- S K Yang
- School of Chemistry and Chemical Engineering, University of South China, Hengyang, Hunan 421001, China.
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37
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Tseng LM, Hsu NC, Chen SC, Lu YS, Lin CH, Chang DY, Li H, Lin YC, Chang HK, Chao TC, Ouyang F, Hou MF. Distant metastasis in triple-negative breast cancer. Neoplasma 2013; 60:290-4. [PMID: 23373998 DOI: 10.4149/neo_2013_038] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Triple-negative breast cancer (TNBC) relapses more frequently than hormone receptor-positive subtypes and is often associated with poor outcomes. This retrospective study reviewed the pattern of distant metastasis with regard to survival in patients with TNBC. A total of 205 TNBC patients were analyzed. TNBC patients with lung metastases had the longest median post-metastatic OS (with 95% confidence interval) of 16.6 (10.3-22.9) months, followed by the bone, 16.3 (11.7-20.8) months, the liver, 8.9 (3.5-14.4) months, the pleura, 7.5 (2.8-12.3) months, and the brain, 4.3 (0.6-8.0) months. Kaplan-Meier plots indicated that TNBC patients with metastatic spread to brain, liver, and pleural had poorer post-metastatic OS rate than patients with lung metastases (p = 0.001, 0.004, and 0.029, respectively). Moreover, brain and liver metastases correlated significantly with poorer post-metastatic OS as compared to bone metastasis (p = 0.004 and 0.011, respectively). Route of first metastasis correlated significantly with survival of TNBC patients with brain metastases being the poorest survival indicator, followed by metastases to liver, pleura, bone, and lung.
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Affiliation(s)
- L M Tseng
- Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan
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Lo YC, Chen WC, Huang WT, Lin YC, Liu MC, Kuo HW, Chuang JH, Yang JR, Liu MT, Wu HS, Yang CH, Chou JH, Chang FY. Surveillance of avian influenza A(H7N9) virus infection in humans and detection of the first imported human case in Taiwan, 3 April to 10 May 2013. Euro Surveill 2013. [DOI: 10.2807/ese.18.20.20479-en] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
On 3 April 2013, suspected and confirmed cases of influenza A(H7N9) virus infection became notifiable in the primary care sector in Taiwan, and detection of the virus became part of the surveillance of severe community-acquired pneumonia. On 24 April, the first imported case, reported through both surveillance systems, was confirmed in a man returning from China by sequencing from endotracheal aspirates after two negative throat swabs. Three of 139 contacts were ill and tested influenza A(H7N9)-negative.
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Affiliation(s)
- Y C Lo
- Centers for Disease Control, Taipei, Taiwan
| | - W C Chen
- Centers for Disease Control, Taipei, Taiwan
| | - W T Huang
- Centers for Disease Control, Taipei, Taiwan
| | - Y C Lin
- Centers for Disease Control, Taipei, Taiwan
| | - M C Liu
- Centers for Disease Control, Taipei, Taiwan
| | - H W Kuo
- Centers for Disease Control, Taipei, Taiwan
| | - J H Chuang
- Centers for Disease Control, Taipei, Taiwan
| | - J R Yang
- Centers for Disease Control, Taipei, Taiwan
| | - M T Liu
- Centers for Disease Control, Taipei, Taiwan
| | - H S Wu
- Centers for Disease Control, Taipei, Taiwan
| | - C H Yang
- Centers for Disease Control, Taipei, Taiwan
| | - J H Chou
- Centers for Disease Control, Taipei, Taiwan
| | - F Y Chang
- Centers for Disease Control, Taipei, Taiwan
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Lo YC, Chen WC, Huang WT, Lin YC, Liu MC, Kuo HW, Chuang JH, Yang JR, Liu MT, Wu HS, Yang CH, Chou JH, Chang FY. Surveillance of avian influenza A(H7N9) virus infection in humans and detection of the first imported human case in Taiwan, 3 April to 10 May 2013. Euro Surveill 2013; 18:20479. [PMID: 23725865] [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] Open
Abstract
On 3 April 2013, suspected and confirmed cases of influenza A(H7N9) virus infection became notifiable in the primary care sector in Taiwan, and detection of the virus became part of the surveillance of severe community-acquired pneumonia. On 24 April, the first imported case, reported through both surveillance systems, was confirmed in a man returning from China by sequencing from endotracheal aspirates after two negative throat swabs. Three of 139 contacts were ill and tested influenza A(H7N9)-negative.
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Affiliation(s)
- Y C Lo
- Centers for Disease Control, Taipei, Taiwan
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Wang YY, Lin YC, Hung HC, Tien WY, Shieh TY. Polymorphisms in Kallikrein7 and 10 genes and oral cancer risks in Taiwan betel quid chewers and smokers. Oral Dis 2013; 19:824-32. [PMID: 23413953 DOI: 10.1111/odi.12072] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2012] [Revised: 11/02/2012] [Accepted: 01/08/2013] [Indexed: 01/25/2023]
Abstract
OBJECTIVES We investigated the association between mRNA levels, polymorphisms of Kallikrein7 (KLK7) and Kallikrein10 (KLK10), and the development of oral squamous cell carcinoma (OSCC). MATERIALS AND METHODS We recruited 217 OSCC patients and 138 healthy controls. All were men, betel quid chewers, cigarette smokers, and Minnan ethnicity. Genotyping was performed using a TaqMan probe genotyping assay. Gene expression levels were determined using real-time polymerase chain reactions (PCRs) for 20 pairs of cancerous and non-cancerous tissues. RESULTS Kallikrein10 rs3745535G>T polymorphisms were significantly associated with OSCC development [adjusted OR (AOR) = 1.62, 95% CI = 1.02-2.59], but KLK7 polymorphisms were not. The KLK7 rs10581213(wt/ins + ins/ins) genotypes were significantly associated with early-stage cancer (AOR = 0.34, 95% CI = 0.14-0.78), but KLK10 polymorphisms were not. Relative expression analysis indicated that an increase in KLK7 and KLK10 mRNA levels was found in cancerous tissues (2(-ΔΔCT) = 25.23 ± 8.85 and 10.89 ± 4.97, respectively). A significantly higher level of KLK7 was expressed in early-stage cancer with the rs10581213(wt/ins + ins/ins) genotypes, but there was no significant difference in the mRNA levels of KLK7 and KLK10 between early- and advanced-stage cancers. CONCLUSIONS This is the first correlation of OSCC with KLK10 rs3745535G>T polymorphisms. Early-stage OSCC and high KLK7 mRNA levels were correlated with the rs10581213(wt/ins + ins/ins) genotypes. More studies with large sample sizes are needed to verify our findings.
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Affiliation(s)
- Y Y Wang
- School of Dentistry, Kaohsiung Medical University, Kaohsiung, Taiwan
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Lin YH, Liu YS, Lin YC, Wei YS, Liao KS, Lee KR, Lai JY, Chen HM, Jean YC, Liu CY. Decoupling free-carriers contributions from oxygen-vacancy and cation-substitution in extrinsic conducting oxides. J Appl Phys 2013; 113:33706. [PMID: 23405036 PMCID: PMC3562333 DOI: 10.1063/1.4776781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2012] [Accepted: 01/02/2013] [Indexed: 06/01/2023]
Abstract
The intrinsic oxygen-vacancies and the extrinsic dopants are two major fundamental free-carrier sources for the extrinsic conducting oxides, such as Sn-doped In(2)O(3). Yet, the individual contributions of the above two free-carrier sources to the total carrier concentrations have never been unraveled. A carrier-concentration separation model is derived in this work, which can define the individual contributions to the total carrier concentration from the intrinsic oxygen-vacancies and the extrinsic dopants, separately. The individual contributions obtained from the present carrier-concentration separation model are verified by the two-state trapping model, photoluminescence, and positron annihilation lifetime (PAL) spectroscopy. In addition, the oxygen-vacancy formation energy of the Sn:In(2)O(3) thin film is determined to be 0.25 eV by PAL spectroscopy.
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42
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Shao KT, Lai KC, Lin YC, Chen LS, Li HY, Hsu CH, Lee H, Hsu HW, Mai GS. Experience and Strategy of Biodiversity Data Integration in Taiwan. Data Sci J 2013. [DOI: 10.2481/dsj.wds-008] [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: 11/20/2022] Open
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43
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Akira A, Ohmura H, Uzumcu M, Araki T, Lin YC. Gossypol inhibits aromatase activity in cultured porcine granulosa cells. Theriogenology 2012; 41:1489-97. [PMID: 16727503 DOI: 10.1016/0093-691x(94)90200-3] [Citation(s) in RCA: 13] [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] [Received: 05/12/1993] [Accepted: 03/08/1994] [Indexed: 11/25/2022]
Abstract
The present study investigated whether gossypol inhibited aromatase activity in cultured porcine granulosa cells. Aromatase activity was assayed by measuring (3)H-H(2)O released from [1beta-(3)H]-androstenedione. First, immature porcine granulosa cells were cultured with various doses of follicle stimulating hormone (FSH, 1 to 1000 ng/ml) for 1 to 5 d to determine optimal culture conditions for aromatase activity assay. Second, porcine granulosa cells were cultured with or without FSH in the presence or absence of gossypol. Gossypol, at 4 muM, significantly inhibited FSH-induced aromatase activity while showing no effect on basal aromatase activity. Gossypol did not inhibit cell proliferation during cell culture. These results suggest that gossypol inhibits aromatase activity by interfering with FSH induction of aromatase in cultured porcine granulosa cells.
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Affiliation(s)
- A Akira
- Laboratory of Reproductive Endocrinology Department of Veterinary Physiology and Pharmacology College of Veterinary Medicine The Ohio State University 1900 Coffey Road Columbus, OH 43210-1092 USA
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44
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Zhu C, Jiang ZY, Jiang SQ, Zhou GL, Lin YC, Chen F, Hong P. Maternal energy and protein affect subsequent growth performance, carcass yield, and meat color in Chinese Yellow broilers. Poult Sci 2012; 91:1869-78. [PMID: 22802180 DOI: 10.3382/ps.2011-02059] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
This experiment was carried out to investigate effects of maternal ME and CP levels on growth performance, carcass traits, and meat quality of broiler offspring. A total of 1,134 thirty-week-old Chinese Yellow broiler breeders was randomly assigned to 3 dietary ME levels (11.09, 11.51, and 11.92 MJ/kg) and 3 CP levels (15.5, 16.5, and 17.5%) in a 3×3 factorial arrangement. Each dietary treatment had 6 replicates with 21 hens per replicate. At 39 wk of age, 30 settable eggs per replicate were selected for hatching. All broiler offspring were fed the same diets. There were significant ME×CP interactions in egg CP and ether extract (EE) contents, BW at d 1, 22 to 42 d ADG, ADFI during 1 to 21 d and 43 to 63 d, shear force, plasma albumin, cholesterol, and triglycerides contents of broiler offspring. Dietary ME at 11.92 MJ/kg increased average egg weight, egg EE content, and broiler 1-d-old BW compared with 11.09 MJ/kg group at 16.5%, 15.5%, and 17.5% CP levels, respectively (P<0.05). Maternal 11.51 and 11.92 MJ/kg of ME increased 1 to 21-d ADFI, and 11.51 MJ/kg of ME decreased lightness (L*) value of broiler offspring compared with 11.09 MJ/kg group at 17.5 and 16.5% CP levels, respectively (P<0.05). Broiler breeder dietary CP at 17.5% decreased egg EE content, increased average egg weight, egg CP content, BW at d 1, and 1 to 21-d ADFI of broiler offspring compared with 15.5% CP group at 11.92 MJ/kg of ME level (P<0.05). Maternal dietary 15.5% CP increased dressing percentage and decreased yellowness (b*) value of broiler offspring compared with 16.5% and 17.5% CP groups at 11.51 MJ/kg of ME level, respectively (P<0.05). Collectively, the results indicate that maternal diets composed of 11.51 to 11.92 MJ/kg of ME and 17.5% CP at 39 wk of age increased growth performance during 1 to 21 d in Chinese Yellow broiler, whereas 11.51 MJ/kg of ME and 15.5% CP improved carcass dressing percentage and meat color of their offspring.
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Affiliation(s)
- C Zhu
- College of Animal Science, South China Agricultural University, Guangzhou 510642, China
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An FP, Bai JZ, Balantekin AB, Band HR, Beavis D, Beriguete W, Bishai M, Blyth S, Boddy K, Brown RL, Cai B, Cao GF, Cao J, Carr R, Chan WT, Chang JF, Chang Y, Chasman C, Chen HS, Chen HY, Chen SJ, Chen SM, Chen XC, Chen XH, Chen XS, Chen Y, Chen YX, Cherwinka JJ, Chu MC, Cummings JP, Deng ZY, Ding YY, Diwan MV, Dong L, Draeger E, Du XF, Dwyer DA, Edwards WR, Ely SR, Fang SD, Fu JY, Fu ZW, Ge LQ, Ghazikhanian V, Gill RL, Goett J, Gonchar M, Gong GH, Gong H, Gornushkin YA, Greenler LS, Gu WQ, Guan MY, Guo XH, Hackenburg RW, Hahn RL, Hans S, He M, He Q, He WS, Heeger KM, Heng YK, Hinrichs P, Ho TH, Hor YK, Hsiung YB, Hu BZ, Hu T, Hu T, Huang HX, Huang HZ, Huang PW, Huang X, Huang XT, Huber P, Isvan Z, Jaffe DE, Jetter S, Ji XL, Ji XP, Jiang HJ, Jiang WQ, Jiao JB, Johnson RA, Kang L, Kettell SH, Kramer M, Kwan KK, Kwok MW, Kwok T, Lai CY, Lai WC, Lai WH, Lau K, Lebanowski L, Lee J, Lee MKP, Leitner R, Leung JKC, Leung KY, Lewis CA, Li B, Li F, Li GS, Li J, Li QJ, Li SF, Li WD, Li XB, Li XN, Li XQ, Li Y, Li ZB, Liang H, Liang J, Lin CJ, Lin GL, Lin SK, Lin SX, Lin YC, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu BJ, Liu C, Liu DW, Liu H, Liu JC, Liu JL, Liu S, Liu X, Liu YB, Lu C, Lu HQ, Luk A, Luk KB, Luo T, Luo XL, Ma LH, Ma QM, Ma XB, Ma XY, Ma YQ, Mayes B, McDonald KT, McFarlane MC, McKeown RD, Meng Y, Mohapatra D, Morgan JE, Nakajima Y, Napolitano J, Naumov D, Nemchenok I, Newsom C, Ngai HY, Ngai WK, Nie YB, Ning Z, Ochoa-Ricoux JP, Oh D, Olshevski A, Pagac A, Patton S, Pearson C, Pec V, Peng JC, Piilonen LE, Pinsky L, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Rosero R, Roskovec B, Ruan XC, Seilhan B, Shao BB, Shih K, Steiner H, Stoler P, Sun GX, Sun JL, Tam YH, Tanaka HK, Tang X, Themann H, Torun Y, Trentalange S, Tsai O, Tsang KV, Tsang RHM, Tull C, Viren B, Virostek S, Vorobel V, Wang CH, Wang LS, Wang LY, Wang LZ, Wang M, Wang NY, Wang RG, Wang T, Wang W, Wang X, Wang X, Wang YF, Wang Z, Wang Z, Wang ZM, Webber DM, Wei YD, Wen LJ, Wenman DL, Whisnant K, White CG, Whitehead L, Whitten CA, Wilhelmi J, Wise T, Wong HC, Wong HLH, Wong J, Worcester ET, Wu FF, Wu Q, Xia DM, Xiang ST, Xiao Q, Xing ZZ, Xu G, Xu J, Xu J, Xu JL, Xu W, Xu Y, Xue T, Yang CG, Yang L, Ye M, Yeh M, Yeh YS, Yip K, Young BL, Yu ZY, Zhan L, Zhang C, Zhang FH, Zhang JW, Zhang QM, Zhang K, Zhang QX, Zhang SH, Zhang YC, Zhang YH, Zhang YX, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao QW, Zhao YB, Zheng L, Zhong WL, Zhou L, Zhou ZY, Zhuang HL, Zou JH. Observation of electron-antineutrino disappearance at Daya Bay. Phys Rev Lett 2012; 108:171803. [PMID: 22680853 DOI: 10.1103/physrevlett.108.171803] [Citation(s) in RCA: 124] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2012] [Indexed: 05/23/2023]
Abstract
The Daya Bay Reactor Neutrino Experiment has measured a nonzero value for the neutrino mixing angle θ(13) with a significance of 5.2 standard deviations. Antineutrinos from six 2.9 GWth reactors were detected in six antineutrino detectors deployed in two near (flux-weighted baseline 470 m and 576 m) and one far (1648 m) underground experimental halls. With a 43,000 ton-GWth-day live-time exposure in 55 days, 10,416 (80,376) electron-antineutrino candidates were detected at the far hall (near halls). The ratio of the observed to expected number of antineutrinos at the far hall is R=0.940±0.011(stat.)±0.004(syst.). A rate-only analysis finds sin(2)2θ(13)=0.092±0.016(stat.)±0.005(syst.) in a three-neutrino framework.
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Affiliation(s)
- F P An
- Institute of High Energy Physics, Beijing, China
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Lin YC, Lu TH, Huang KF, Chen YF. Model of commensurate harmonic oscillators with SU(2) coupling interactions: analogous observation in laser transverse modes. Phys Rev E Stat Nonlin Soft Matter Phys 2012; 85:046217. [PMID: 22680566 DOI: 10.1103/physreve.85.046217] [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: 02/10/2012] [Indexed: 05/09/2023]
Abstract
We theoretically explore the eigenstates of a coupled p:q commensurate harmonic oscillator with SU(2) coupling interactions under the canonical transformation. The spatial patterns of the high-order eigenstates are found to be markedly localized on Lissajous figures from single to multiple periodic orbits. Controlling the pumping size in large-Fresnel-number degenerate cavities, we have experimentally observed the laser transverse modes that display the wave patterns to be analogous to the derived eigenstates.
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Affiliation(s)
- Y C Lin
- Department of Electrophysics, National Chiao Tung University, Hsinchu, Taiwan
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Chen SC, Kuo TY, Lin YC, Lin HC. Electrical and optical properties of NiO composite films by radio frequency magnetron sputtering. J Nanosci Nanotechnol 2012; 12:1196-1200. [PMID: 22629920 DOI: 10.1166/jnn.2012.4615] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
The 100-nm NiO-Ag composite films with Ag content of 0 to 24.4 at.% are deposited on glass substrates. It is found that an ultra high electric resistivity (rho) value is obtained and cannot be detected by four point probe measurement when the Ag content is less than 3.4 at.%. The rho value is reduced significantly to 29.0 Omega-cm as Ag content is increased to 4.2 at.%, and it decreases greatly to 0.009 Omega-cm as the content of Ag is further increased to 24.4 at.%. The NiO-Ag composite film with Ag content of 4.2 at.% shows p-type conduction. However, it becomes n-type when the Ag content increases to 9.3 at.%, which results from the Ag atoms segregated at grain boundary of NiO when the excess Ag atoms are added into NiO films. On the other hand, the transmittance of the NiO-Ag films drops continuously from 96.3% to 31.6% as the Ag content increases from 0 to 24.4%.
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Affiliation(s)
- S C Chen
- Department of Materials Engineering, Ming Chi University of Technology, Taipei 243, Taiwan
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Abstract
The uranium(VI) accumulation was studied in detail by using the biomass of mangrove endophytic fungus Fusarium sp.#ZZF51 from the South China Sea. The uranium(VI) biosorption process onto the tested fungus powders was optimized at pH 4.0, adsorption time 60 min, and uranium(VI) initial concentration 50 mg L−1 with 61.89% of removal efficiency. According to Fourier transform infrared spectra for the tested fungus before and after loaded with uranium(VI), the results showed that both of hydroxyl and carboxyl groups acted as the important roles in the adsorption process. In addition, the experimental data were analyzed by using parameter and kinetic models, and it was obtained that the Langmuir isotherm model and the pseudo-second-order kinetic model provided better correlation with the experimental data for adsorption of uranium(VI).
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Affiliation(s)
- H B Yang
- School of Chemistry and Chemical Engineering, University of South China, Hengyang, 421001 Hunan People's Republic of China
| | - N Tan
- School of Chemistry and Chemical Engineering, University of South China, Hengyang, 421001 Hunan People's Republic of China
| | - F J Wu
- School of Chemistry and Chemical Engineering, University of South China, Hengyang, 421001 Hunan People's Republic of China
| | - H J Liu
- School of Chemistry and Chemical Engineering, University of South China, Hengyang, 421001 Hunan People's Republic of China
| | - M Sun
- School of Chemistry and Chemical Engineering, University of South China, Hengyang, 421001 Hunan People's Republic of China
| | - Z G She
- School of Chemistry and Chemical Engineering, Sun Yat-sen University, Guangzhou, 510275 Guangdong People's Republic of China
| | - Y C Lin
- School of Chemistry and Chemical Engineering, Sun Yat-sen University, Guangzhou, 510275 Guangdong People's Republic of China
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Lin YC, Lu TH, Huang KF, Chen YF. Generation of optical vortex array with transformation of standing-wave Laguerre-Gaussian mode. Opt Express 2011; 19:10293-303. [PMID: 21643287 DOI: 10.1364/oe.19.010293] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
We develop a novel method of creating optical vortex array by the conversion of a standing-wave Laguerre-Gaussian (LG) mode. Theoretically, by employing the transformational relation, the standing-wave LG mode is verified to be transformed from a pair of crisscrossed Hermite-Gaussian (HG) modes, embedded with optical vortex array, consists of a TEMn,m mode and a TEMm,n mode. Due to close correspondence between the transformational relation and the mode conversion of astigmatic lenses, we successfully generate the optical vortex array by transforming a standing-wave LG mode into the crisscrossed HG modes via a π/2 cylindrical lens mode converter. The investigation may provide useful insight in the study of the vortex light beam and its further applications.
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Affiliation(s)
- Y C Lin
- Department of Electrophysics, National Chiao Tung University, Hsinchu, Taiwan
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Dong SL, Su JL, Yeh YH, Chu TC, Lin YC, Chuang KS. Development of an imaging-planning program for screen/film and computed radiography mammography for breasts with short chest wall to nipple distance. Br J Radiol 2011; 84:350-7. [PMID: 21123310 PMCID: PMC3473466 DOI: 10.1259/bjr/97507379] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2009] [Revised: 04/09/2010] [Accepted: 04/29/2010] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE Imaging breasts with a short chest wall to nipple distance (CWND) using a traditional mammographic X-ray unit is a technical challenge for mammographers. The purpose of this study is the development of an imaging-planning program to assist in determination of imaging parameters of screen/film (SF) and computed radiography (CR) mammography for short CWND breasts. METHODS A traditional mammographic X-ray unit (Mammomat 3000, Siemens, Munich, Germany) was employed. The imaging-planning program was developed by combining the compressed breast thickness correction, the equivalent polymethylmethacrylate thickness assessment for breasts and the tube loading (mAs) measurement. Both phantom exposures and a total of 597 exposures were used for examining the imaging-planning program. RESULTS Results of the phantom study show that the tube loading rapidly decreased with the CWND when the automatic exposure control (AEC) detector was not fully covered by the phantom. For patient exposures with the AEC fully covered by breast tissue, the average fractional tube loadings, defined as the ratio of the predicted mAs using the imaging-planning program and mAs of the mammogram, were 1.10 and 1.07 for SF and CR mammograms, respectively. The predicted mAs values were comparable to the mAs values, as determined by the AEC. CONCLUSION By applying the imaging-planning program in clinical practice, the experiential dependence of the mammographer for determination of the imaging parameters for short CWND breasts is minimised.
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Affiliation(s)
- S L Dong
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Taiwan, Republic of China
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