1
|
Zhao HL, You Y, Tian Y, Wang L, An Y, Zhang G, Shu C, Yu M, Zhu Y, Li Q, Zhang Y, Sun N, Hu S, Liu G. Impact of LDLR polymorphisms on lipid levels and atorvastatin's efficacy in a northern Chinese adult Han cohort with dyslipidemia. Lipids Health Dis 2024; 23:106. [PMID: 38616260 PMCID: PMC11016223 DOI: 10.1186/s12944-024-02101-4] [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: 11/21/2023] [Accepted: 04/04/2024] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND Dyslipidemia, a significant risk factor for atherosclerotic cardiovascular disease (ASCVD), is influenced by genetic variations, particularly those in the low-density lipoprotein receptor (LDLR) gene. This study aimed to elucidate the effects of LDLR polymorphisms on baseline serum lipid levels and the therapeutic efficacy of atorvastatin in an adult Han population in northern China with dyslipidemia. METHODS In this study, 255 Han Chinese adults receiving atorvastatin therapy were examined and followed up. The 3' untranslated region (UTR) of the LDLR gene was sequenced to identify polymorphisms. The associations between gene polymorphisms and serum lipid levels, as well as changes in lipid levels after intervention, were evaluated using the Wilcoxon rank sum test, with a P < 0.05 indicating statistical significance. Assessment of linkage disequilibrium patterns and haplotype structures was conducted utilizing Haploview. RESULTS Eleven distinct polymorphisms at LDLR 3' UTR were identified. Seven polymorphisms (rs1433099, rs14158, rs2738466, rs5742911, rs17249057, rs55971831, and rs568219285) were correlated with the baseline serum lipid levels (P < 0.05). In particular, four polymorphisms (rs14158, rs2738466, rs5742911, and rs17249057) were in strong linkage disequilibrium (r2 = 1), and patients with the AGGC haplotype had higher TC and LDL-C levels at baseline. Three polymorphisms (rs1433099, rs2738467, and rs7254521) were correlated with the therapeutic efficacy of atorvastatin (P < 0.05). Furthermore, carriers of the rs2738467 T allele demonstrated a significantly greater reduction in low-density lipoprotein cholesterol (LDL-C) levels post-atorvastatin treatment (P = 0.03), indicating a potentially crucial genetic influence on therapeutic outcomes. Two polymorphisms (rs751672818 and rs566918949) were neither correlated with the baseline serum lipid levels nor atorvastatin's efficacy. CONCLUSIONS This research outlined the complex genetic architecture surrounding LDLR 3' UTR polymorphisms and their role in lipid metabolism and the response to atorvastatin treatment in adult Han Chinese patients with dyslipidemia, highlighting the importance of genetic profiling in enhancing tailored therapeutic strategies. Furthermore, this investigation advocates for the integration of genetic testing into the management of dyslipidemia, paving the way for customized therapeutic approaches that could significantly improve patient care. TRIAL REGISTRATION This multicenter study was approved by the Ethics Committee of Xiangya Hospital Central South University (ethics number K22144). It was a general ethic. In addition, this study was approved by The First Hospital of Hebei Medical University (ethics number 20220418).
Collapse
Affiliation(s)
- Hong-Liang Zhao
- Department of Cardiology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yang You
- Department of Cardiology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yan Tian
- Beijing E-Seq Medical Technology Co. Ltd, Beijing, China
| | - Luyan Wang
- Institute of Hypertension, People's Hospital, Peking University, Beijing, China
| | - Yongqiang An
- Department of Cardiology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Guoqiang Zhang
- Beijing E-Seq Medical Technology Co. Ltd, Beijing, China
| | - Chang Shu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Mingxin Yu
- Beijing E-Seq Medical Technology Co. Ltd, Beijing, China
| | - Yihua Zhu
- Beijing E-Seq Medical Technology Co. Ltd, Beijing, China
- College of Information Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu Province, China
| | - Qian Li
- Beijing E-Seq Medical Technology Co. Ltd, Beijing, China
| | - Yanwei Zhang
- Beijing E-Seq Medical Technology Co. Ltd, Beijing, China
| | - Ningling Sun
- Institute of Hypertension, People's Hospital, Peking University, Beijing, China.
| | - Songnian Hu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
| | - Gang Liu
- Department of Cardiology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
| |
Collapse
|
2
|
Tan Q, Joshua AM, Saggar JK, Yu M, Wang M, Kanga N, Zhang JY, Chen X, Wouters BG, Tannock IF. Retraction Note: Effect of pantoprazole to enhance activity of docetaxel against human tumour xenografts by inhibiting autophagy. Br J Cancer 2024; 130:1232. [PMID: 38509357 PMCID: PMC10991281 DOI: 10.1038/s41416-024-02660-4] [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: 03/22/2024] Open
Affiliation(s)
- Q Tan
- Department of Medical Biophysics, University Health Network, University of Toronto, Toronto, ON, M5G2M9, Canada
| | - A M Joshua
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Center and University Health Network, University of Toronto, Toronto, ON, M5G2M9, Canada
- Institute of Medical Science, University Health Network, University of Toronto, Toronto, ON, M5G2M9, Canada
| | - J K Saggar
- Department of Medical Biophysics, University Health Network, University of Toronto, Toronto, ON, M5G2M9, Canada
| | - M Yu
- Department of Medical Biophysics, University Health Network, University of Toronto, Toronto, ON, M5G2M9, Canada
| | - M Wang
- Department of Medical Biophysics, University Health Network, University of Toronto, Toronto, ON, M5G2M9, Canada
| | - N Kanga
- Department of Medical Biophysics, University Health Network, University of Toronto, Toronto, ON, M5G2M9, Canada
| | - J Y Zhang
- Department of Medical Biophysics, University Health Network, University of Toronto, Toronto, ON, M5G2M9, Canada
| | - X Chen
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Center and University Health Network, University of Toronto, Toronto, ON, M5G2M9, Canada
| | - B G Wouters
- Department of Medical Biophysics, University Health Network, University of Toronto, Toronto, ON, M5G2M9, Canada
| | - I F Tannock
- Department of Medical Biophysics, University Health Network, University of Toronto, Toronto, ON, M5G2M9, Canada.
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Center and University Health Network, University of Toronto, Toronto, ON, M5G2M9, Canada.
- Institute of Medical Science, University Health Network, University of Toronto, Toronto, ON, M5G2M9, Canada.
| |
Collapse
|
3
|
Li L, Yu M, Li X, Ma X, Zhu L, Zhang T. A deep learning method for multi-task intelligent detection of oral cancer based on optical fiber Raman spectroscopy. Anal Methods 2024; 16:1659-1673. [PMID: 38419435 DOI: 10.1039/d3ay02250a] [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] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
In the fight against oral cancer, innovative methods like Raman spectroscopy and deep learning have become powerful tools, particularly in integral tasks encompassing tumor staging, lymph node staging, and histological grading. These aspects are essential for the development of effective treatment strategies and prognostic assessment. However, it is important to note that most research so far has focused on solutions to one of these problems and has not taken full advantage of the potential wealth of information in the data. To compensate for this shortfall, we conceived a method that combines Raman spectroscopy with deep learning for simultaneous processing of multiple classification tasks, including tumor staging, lymph node staging, and histological grading. To achieve this innovative approach, we collected 1750 Raman spectra from 70 tissue samples, including normal and cancerous tissue samples from 35 patients with oral cancer. In addition, we used a deep neural network architecture to design four distinct multi-task network (MTN) models for intelligent oral cancer diagnosis, named MTN-Alexnet, MTN-Googlenet, MTN-Resnet50, and MTN-Transformer. To determine their effectiveness, we compared these multitask models to each other and to single-task models and traditional machine learning methods. The preliminary experimental results show that our multi-task network model has good performance, among which MTN-Transformer performs best. Specifically, MTN-Transformer has an accuracy of 81.5%, a precision of 82.1%, a sensitivity of 80.2%, and an F1_score of 81.1% in terms of tumor staging. In the field of lymph node staging, the accuracy, precision, sensitivity, and F1_score of MTN-Transformer are 81.3%, 83.0%, 80.1%, and 81.5% respectively. Similarly, for the histological grading classification tasks, the accuracy was 83.0%, the precision 84.3%, the sensitivity 76.7%, and the F1_score 80.2%. This code is available at https://github.com/ISCLab-Bistu/MultiTask-OralRamanSystem.
Collapse
Affiliation(s)
- Lianyu Li
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing 100192, China.
| | - Mingxin Yu
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing 100192, China.
- Beijing Laboratory of Biomedical Detection Technology and Instrument, Tsinghua University, Beijing 100084, China
- Guangzhou Nansha Intelligent Photonic Sensing Research Institute, Guang Zhou, Guang Dong 511462, China
| | - Xing Li
- Department of Stomatology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing 100730, China.
| | - Xinsong Ma
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing 100192, China.
| | - Lianqing Zhu
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing 100192, China.
| | - Tao Zhang
- Department of Stomatology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing 100730, China.
| |
Collapse
|
4
|
Wang H, Xie KX, Chen LL, Cao Y, Shen ZJ, Lyu J, Yu CQ, Sun DJY, Pei P, Zhong JM, Yu M. [A prospective study of association between physical activity and ischemic stroke in adults]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:325-330. [PMID: 38514307 DOI: 10.3760/cma.j.cn112338-20230904-00125] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Objective: To explore the prospective associations between physical activity and incident ischemic stroke in adults. Methods: Data of China Kadoorie Biobank study in Tongxiang of Zhejiang were used. After excluding participants with cancers, strokes, heart diseases and diabetes at baseline study, a total of 53 916 participants aged 30-79 years were included in the final analysis. The participants were divided into 5 groups according to the quintiles of their physical activity level. Cox proportional hazard regression models was used to calculate the hazard ratios (HR) for the analysis on the association between baseline physical activity level and risk for ischemic stroke. Results: The total physical activity level in the participants was (30.63±15.25) metabolic equivalent (MET)-h/d, and it was higher in men [(31.04±15.48) MET-h/d] than that in women [(30.33±15.07) MET-h/d] (P<0.001). In 595 526 person-years of the follow-up (average 11.4 years), a total of 1 138 men and 1 082 women were newly diagnosed with ischemic stroke. Compared to participants with the lowest physical activity level (<16.17 MET-h/d), after adjusting for socio-demographic factors, lifestyle, BMI, waist circumference, and SBP, the HRs for the risk for ischemic stroke in those with moderate low physical activity level (16.17-24.94 MET-h/d), moderate physical activity level (24.95-35.63 MET-h/d), moderate high physical activity level (35.64-43.86 MET-h/d) and the highest physical activity level (≥43.87 MET-h/d) were 0.93 (95%CI: 0.83-1.04), 0.87 (95%CI: 0.76-0.98), 0.82 (95%CI: 0.71-0.95) and 0.76 (95%CI: 0.64-0.89), respectively. Conclusion: Improving physical activity level has an effect on reducing the risk for ischemic stroke.
Collapse
Affiliation(s)
- H Wang
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - K X Xie
- Department of Chronic and Non-communicable Disease Control and Prevention, Tongxiang County Center for Disease Control and Prevention, Tongxiang 314599, China
| | - L L Chen
- Department of Chronic and Non-communicable Disease Control and Prevention, Tongxiang County Center for Disease Control and Prevention, Tongxiang 314599, China
| | - Y Cao
- Department of Chronic and Non-communicable Disease Control and Prevention, Tongxiang County Center for Disease Control and Prevention, Tongxiang 314599, China
| | - Z J Shen
- Department of Chronic and Non-communicable Disease Control and Prevention, Tongxiang County Center for Disease Control and Prevention, Tongxiang 314599, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J M Zhong
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - M Yu
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| |
Collapse
|
5
|
Wang Y, Hong X, Cao W, Lv J, Yu C, Huang T, Sun D, Liao C, Pang Y, Pang Z, Yu M, Wang H, Wu X, Liu Y, Gao W, Li L. Age effect on the shared etiology of glycemic traits and serum lipids: evidence from a Chinese twin study. J Endocrinol Invest 2024; 47:535-546. [PMID: 37524979 DOI: 10.1007/s40618-023-02164-7] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 07/24/2023] [Indexed: 08/02/2023]
Abstract
PURPOSE Diabetes and dyslipidemia are among the most common chronic diseases with increasing global disease burdens, and they frequently occur together. The study aimed to investigate differences in the heritability of glycemic traits and serum lipid indicators and differences in overlapping genetic and environmental influences between them across age groups. METHODS This study included 1189 twin pairs from the Chinese National Twin Registry and divided them into three groups: aged ≤ 40, 41-50, and > 50 years old. Univariate and bivariate structural equation models (SEMs) were conducted on glycemic indicators and serum lipid indicators, including blood glucose (GLU), glycated hemoglobin A1c (HbA1c), total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C), in the total sample and three age groups. RESULTS All phenotypes showed moderate to high heritability (0.37-0.64). The heritability of HbA1c demonstrated a downward trend with age (HbA1c: 0.50-0.79), while others remained relatively stable (GLU: 0.55-0.62, TC: 0.58-0.66, TG: 0.50-0.63, LDL-C: 0.24-0.58, HDL-C: 0.31-0.57). The bivariate SEMs demonstrated that GLU and HbA1c were correlated with each serum lipid indicator (0.10-0.17), except HDL-C. Except for HbA1c and LDL-C, as well as HbA1c and HDL-C, differences in genetic correlations underlying glycemic traits and serum lipids between age groups were observed, with the youngest group showing a significantly higher genetic correlation than the oldest group. CONCLUSION Across the whole adulthood, genetic influences were consistently important for GLU, TC, TG, LDL-C and HDL-C, and age may affect the shared genetic influences between glycemic traits and serum lipids. Further studies are needed to elucidate the role of age in the interactions of genes related to glycemic traits and serum lipids.
Collapse
Affiliation(s)
- Y Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - X Hong
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - W Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - J Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - C Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - D Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - C Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Y Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Z Pang
- Qingdao Center for Disease Control and Prevention, Qingdao, China
| | - M Yu
- Zhejiang Center for Disease Control and Prevention, Hangzhou, China
| | - H Wang
- Jiangsu Center for Disease Control and Prevention, Nanjing, China
| | - X Wu
- Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Y Liu
- Heilongjiang Center for Disease Control and Prevention, Harbin, China
| | - W Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
| | - L Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
| |
Collapse
|
6
|
Ding J, Zhu L, Yu M, Lu L, Hu P. PMONN: an optical neural network for photonic integrated circuits based on micro-resonator. Opt Express 2024; 32:7832-7847. [PMID: 38439454 DOI: 10.1364/oe.511245] [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: 11/06/2023] [Accepted: 02/02/2024] [Indexed: 03/06/2024]
Abstract
We propose an improved optical neural network (ONN) circuit architecture based on conventional micro-resonator ONNs, called the Phase-based Micro-resonator Optical Neural Network (PMONN). PMONN's core architecture features a Convolutions and Batch Normalization (CB) unit, comprising a phase-based (PB) convolutional layer, a Depth-Point-Wise (DPW) convolutional layer, and a reconstructed Batch Normalization (RBN) layer. The PB convolution kernel uses modulable phase shifts of Add-drop MRRs as learnable parameters and their optical transfer function as convolution weights. The DPW convolution kernel amplifies PB convolution weights by learning the amplification factors. To address the internal covariate shift during training, the RBN layer normalizes DPW outputs by reconstructing the BN layer of the electronic neural network, which is then merged with the DPW layer in the test stage. We employ the tunable DAs in the architecture to implement the merged layer. PMONN achieves 99.15% and 91.83% accuracy on MNIST and Fashion-MNIST datasets, respectively. This work presents a method for implementing an optical neural network on the improved architecture based on MRRs and increases the flexibility and reusability of the architecture. PMONN has potential applications as the backbone for future optical object detection neural networks.
Collapse
|
7
|
Huang Y, Du B, Yu M, Cao Y, Liang K, Zhang L. Picea wilsonii NAC31 and DREB2A Cooperatively Activate ERD1 to Modulate Drought Resistance in Transgenic Arabidopsis. Int J Mol Sci 2024; 25:2037. [PMID: 38396714 PMCID: PMC10888420 DOI: 10.3390/ijms25042037] [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: 12/14/2023] [Revised: 01/18/2024] [Accepted: 02/05/2024] [Indexed: 02/25/2024] Open
Abstract
The NAC family of transcription factors (TFs) regulate plant development and abiotic stress. However, the specific function and response mechanism of NAC TFs that increase drought resistance in Picea wilsonii remain largely unknown. In this study, we functionally characterized a member of the PwNAC family known as PwNAC31. PwNAC31 is a nuclear-localized protein with transcriptional activation activity and contains an NAC domain that shows extensive homology with ANAC072 in Arabidopsis. The expression level of PwNAC31 is significantly upregulated under drought and ABA treatments. The heterologous expression of PwNAC31 in atnac072 Arabidopsis mutants enhances the seed vigor and germination rates and restores the hypersensitive phenotype of atnac072 under drought stress, accompanied by the up-regulated expression of drought-responsive genes such as DREB2A (DEHYDRATION-RESPONSIVE ELEMENT BINDING PROTEIN 2A) and ERD1 (EARLY RESPONSIVE TO DEHYDRATION STRESS 1). Yeast two-hybrid and bimolecular fluorescence complementation assays confirmed that PwNAC31 interacts with DREB2A and ABF3 (ABSCISIC ACID-RESPONSIVE ELEMENT-BINDING FACTOR 3). Yeast one-hybrid and dual-luciferase assays showed that PwNAC31, together with its interaction protein DREB2A, directly regulated the expression of ERD1 by binding to the DRE element of the ERD1 promoter. Collectively, our study provides evidence that PwNAC31 activates ERD1 by interacting with DREB2A to enhance drought tolerance in transgenic Arabidopsis.
Collapse
Affiliation(s)
- Yiming Huang
- State Key Laboratory of Efficient Production of Forest Resources, College of Forestry, Beijing Forestry University, Beijing 100083, China
- Key Laboratory of Forest Silviculture and Conservation of the Ministry of Education, College of Forestry, Beijing Forestry University, Beijing 100083, China
| | - Bingshuai Du
- State Key Laboratory of Efficient Production of Forest Resources, College of Forestry, Beijing Forestry University, Beijing 100083, China
- Key Laboratory of Forest Silviculture and Conservation of the Ministry of Education, College of Forestry, Beijing Forestry University, Beijing 100083, China
| | - Mingxin Yu
- State Key Laboratory of Efficient Production of Forest Resources, College of Forestry, Beijing Forestry University, Beijing 100083, China
- Key Laboratory of Forest Silviculture and Conservation of the Ministry of Education, College of Forestry, Beijing Forestry University, Beijing 100083, China
| | - Yibo Cao
- State Key Laboratory of Efficient Production of Forest Resources, College of Forestry, Beijing Forestry University, Beijing 100083, China
- Key Laboratory of Forest Silviculture and Conservation of the Ministry of Education, College of Forestry, Beijing Forestry University, Beijing 100083, China
| | - Kehao Liang
- State Key Laboratory of Efficient Production of Forest Resources, College of Forestry, Beijing Forestry University, Beijing 100083, China
- Key Laboratory of Forest Silviculture and Conservation of the Ministry of Education, College of Forestry, Beijing Forestry University, Beijing 100083, China
| | - Lingyun Zhang
- State Key Laboratory of Efficient Production of Forest Resources, College of Forestry, Beijing Forestry University, Beijing 100083, China
- Key Laboratory of Forest Silviculture and Conservation of the Ministry of Education, College of Forestry, Beijing Forestry University, Beijing 100083, China
| |
Collapse
|
8
|
Wang H, Zhou Y, Dai PY, Li N, Guan YQ, Pan J, Zhong JM, Yu M. [Comorbidity of anxiety symptoms and depression symptoms among middle and high school students in Zhejiang Province]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1921-1927. [PMID: 38129149 DOI: 10.3760/cma.j.cn112338-20230722-00032] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Objective: To analyze the epidemiological patterns of comorbidity of anxiety symptoms and depression symptoms among middle and high school students in Zhejiang Province and to provide evidence for making strategy and evaluation of intervention. Methods: Through a multi-stage sampling design, 28 043 students from 376 schools in 30 counties/districts were recruited and surveyed using anonymous self-administered questionnaires in classrooms under the supervision of trained staff between April and June 2022. Anxiety symptoms were assessed using generalized Anxiety Disorders 7-Item Scale, and depression symptoms were assessed using Patient Health Questionnaire 9-Item Depression Scale. A total of 27 004 students were included in the final analysis. Results: The overall prevalence of comorbidity of anxiety symptoms and depression symptoms was 11.54% (95%CI: 10.90%-12.19%), higher among girls (15.42%, 95%CI: 14.47%- 16.38%) than boys (8.05%, 95%CI: 7.43%-8.67%) (P<0.001), higher among students living in rural areas (12.35%, 95%CI: 11.49%-13.22%) than those in urban areas (10.06%, 95%CI: 9.27%-10.86%) (P<0.001). The prevalence of comorbidity of students attending middle school, academic high school, and vocational high school was 11.73% (95%CI: 10.82%-12.64%), 12.49% (95%CI: 11.20%- 13.79%), and 9.98% (95%CI: 8.68%-11.27%), respectively (P=0.025). The prevalence of comorbidity was higher among students in divorced/widow/separated families (16.64%, 95%CI: 14.86%-18.43%) than those in intact families (10.82%, 95%CI: 10.14%-11.50%) (P<0.001). The wealthier the families, the lower the prevalence of comorbidity (P<0.001). The prevalence of comorbidity was higher among cigarettes smokers in the past 30 days (21.70%,95%CI: 18.24%- 25.16%) than non-smokers (11.13%, 95%CI: 10.51%-11.76%), higher among alcohol drinkers in the past 30 days (19.36%, 95%CI: 17.58%-21.14%) than non-drinkers (10.05%, 95%CI: 9.43%- 10.68%), higher among students engaging in physical fight in the past 12 months (18.42%, 95%CI: 16.75%-20.09%) than those without physical fight (10.45%, 95%CI: 9.81%-11.10%). The more frequently students engaged in physical exercise, the lower the prevalence of comorbidity (P<0.001). The poorer the academic performance self-reported, the higher the prevalence of comorbidity (P<0.001). Conclusion: More than one-tenth of middle and high school students in Zhejiang Province have comorbidity of anxiety symptoms and depression symptoms, and more attention should be paid to adolescent mental health.
Collapse
Affiliation(s)
- H Wang
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Y Zhou
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - P Y Dai
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - N Li
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Y Q Guan
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - J Pan
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - J M Zhong
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - M Yu
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| |
Collapse
|
9
|
Ren Y, Li GH, Yu M, Yang D, Feng LF, Chen JQ. [Expression analysis of inflammatory factors in artificial quartz stone plate processing silicosis patients]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:837-840. [PMID: 37935550 DOI: 10.3760/cma.j.cn121094-20220517-00267] [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] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Objective: To investigate the levels of tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6) and interleukin-1beta (IL-1β) in the plasma and bronchoalveolar lavage fluid of silicosis patients with artificial quartz stone plate processing. Methods: In January 2022, 10 patients with artificial quartz stone plate processing silicosis and 20 patients with common silicosis who were hospitalized and diagnosed in a hospital at Zhejiang Province from June 2019 to December 2021 were retrospectively selected as the research objects, and 30 healthy people were selected as the control group during the same period. Plasma of all subjects and bronchoalveolar lavage fluid of all patients were collected. The levels of TNF-α, IL-6 and IL-1β in plasma and bronchoalveolar lavage fluid were detected by enzyme-linked immunosorbent assay and were analyzed. Results: The levels of TNF-α, IL-6 and IL-1β in the plasma of patients with silicosis were higher than those of the control group (P<0.05), and the levels of TNF-α and IL-1β in the plasma of silicosis patients with artificial quartz stone plate processing were higher than those of common silicosis patients (P<0.05). The levels of TNF-α and IL-1β in plasma of artificial quartz stone plate processing silicosis patients were higher than those of common silicosis patients at the same silicon stage (P<0.05). The levels of IL-1β in bronchoalveolar lavage fluid of silicosis patients with artificial quartz stone plate processing was higher than that of patients with common silicosis (P<0.05) . Conclusion: The levels of TNF-α, IL-6 and IL-1β in silicosis patients with artificial quartz stone plate processing are higher than those in patients with common silicosis, which may be related to dust components they are exposed to.
Collapse
Affiliation(s)
- Y Ren
- School of Public Health, Hangzhou Medical College (Zhejiang Academy of Medical Sciences), Hangzhou 310013, China
| | - G H Li
- Department of Occupational Medicine, Hangzhou Red Cross Hospital, Hangzhou 310005, China
| | - M Yu
- School of Public Health, Hangzhou Medical College (Zhejiang Academy of Medical Sciences), Hangzhou 310013, China
| | - D Yang
- School of Public Health, Hangzhou Medical College (Zhejiang Academy of Medical Sciences), Hangzhou 310013, China
| | - L F Feng
- School of Public Health, Hangzhou Medical College (Zhejiang Academy of Medical Sciences), Hangzhou 310013, China
| | - J Q Chen
- School of Public Health, Hangzhou Medical College (Zhejiang Academy of Medical Sciences), Hangzhou 310013, China
| |
Collapse
|
10
|
Zhu LL, Fu SS, Qin HQ, Yu M, Li HR, Liu HT, Song L. [Effect of PCSK9 inhibitors on early neurological deterioration in patients with branch atheromatous disease]. Zhonghua Yi Xue Za Zhi 2023; 103:2940-2946. [PMID: 37752053 DOI: 10.3760/cma.j.cn112137-20230525-00856] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
Objective: To investigate the effect of Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK9) inhibitors on the incidence of early neurological deterioration during the treatment of branch atheromatous disease (BAD). Methods: A retrospective analysis of 297 BAD patients admitted to the Department of Neurology in Zhengzhou People's Hospital from January 2020 to April 2023 was made. According to whether to use PCSK9 inhibitor treatment, they were divided into PCSK9 inhibitor group (81 cases) and control group (216 cases). Propensity score matching (PSM) method was used to eliminate the general situation difference between PCSK9 inhibitor group and control group. Seventy-two cases were successfully matched in each group. The early neurological deterioration (END) and low-density lipoprotein cholesterol (LDL-C) were compared. END was defined as the National Institutes of Health Stroke Scale (NIHSS) score increase≥2 points within 72 hours after stroke. Suspicious influencing factors leading to END were screened for multivariate logistic regression model analysis. Results: After PSM matching, among the 144 patients, 90 were male and 54 were female, aged (61.2±9.6) years. After matching, The hospital stay[M(Q1, Q3)] [9(7, 11)d vs 10(8, 13)d] in PCSK9 and NIHSS score at discharge [2(1, 3) vs 3(1, 4) points] were significantly different from those in the control group (all P<0.05). In addition, the incidence of END was reduced in the PCSK9 inhibitor group [12.5%(9/72) vs 31.9%(23/72),P<0.05]. Multivariate logistic regression analysis found that C-reactive protein (CRP)(OR=1.119,95%CI: 1.010-1.240, P<0.05) and PCSK9 inhibitor (OR=0.298, 95%CI: 0.117-0.755, P<0.05) were factors associated with the development of END. Conclusion: The use of PCSK9 inhibitors in the treatment of patients with BAD can reduce the incidence of END.
Collapse
Affiliation(s)
- L L Zhu
- Department of Neurology, the Fifth Clinical Medical College of Henan University of Chinese Medicine(Zhengzhou Peoples Hospital), Zhengzhou 450003, China
| | - S S Fu
- Department of Neurology, the Fifth Clinical Medical College of Henan University of Chinese Medicine(Zhengzhou Peoples Hospital), Zhengzhou 450003, China
| | - H Q Qin
- Neurology Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - M Yu
- Department of Neurology, the Fifth Clinical Medical College of Henan University of Chinese Medicine(Zhengzhou Peoples Hospital), Zhengzhou 450003, China
| | - H R Li
- Department of Neurology, the Fifth Clinical Medical College of Henan University of Chinese Medicine(Zhengzhou Peoples Hospital), Zhengzhou 450003, China
| | - H T Liu
- Department of Neurology, the Fifth Clinical Medical College of Henan University of Chinese Medicine(Zhengzhou Peoples Hospital), Zhengzhou 450003, China
| | - L Song
- Department of Neurology, the Fifth Clinical Medical College of Henan University of Chinese Medicine(Zhengzhou Peoples Hospital), Zhengzhou 450003, China
| |
Collapse
|
11
|
Li X, Li L, Sun Q, Chen B, Zhao C, Dong Y, Zhu Z, Zhao R, Ma X, Yu M, Zhang T. Rapid multi-task diagnosis of oral cancer leveraging fiber-optic Raman spectroscopy and deep learning algorithms. Front Oncol 2023; 13:1272305. [PMID: 37881489 PMCID: PMC10597702 DOI: 10.3389/fonc.2023.1272305] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 09/18/2023] [Indexed: 10/27/2023] Open
Abstract
Introduction Oral cancer, a predominant malignancy in developing nations, represents a global health challenge with a five-year survival rate below 50%. Nonetheless, substantial reductions in both its incidence and mortality rates can be achieved through early detection and appropriate treatment. Crucial to these treatment plans and prognosis predictions is the identification of the pathological type of oral cancer. Methods Toward this end, fiber-optic Raman spectroscopy emerges as an effective tool. This study combines Raman spectroscopy technology with deep learning algorithms to develop a portable intelligent prototype for oral case analysis. We propose, for the first time, a multi-task network (MTN) Raman spectroscopy classification model that utilizes a shared backbone network to simultaneously achieve different clinical staging and histological grading diagnoses. Results The developed model demonstrated accuracy rates of 94.88%, 94.57%, and 94.34% for tumor staging, lymph node staging, and histological grading, respectively. Its sensitivity, specificity, and accuracy compare closely with the gold standard: routine histopathological examination. Discussion Thus, this prototype proposed in this study has great potential for rapid, non-invasive, and label-free pathological diagnosis of oral cancer.
Collapse
Affiliation(s)
- Xing Li
- Department of Stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lianyu Li
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
| | - Qing Sun
- Department of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Chen
- Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chenjie Zhao
- Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuting Dong
- Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhihui Zhu
- Department of Stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ruiqi Zhao
- Department of Stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xinsong Ma
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
| | - Mingxin Yu
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
| | - Tao Zhang
- Department of Stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| |
Collapse
|
12
|
Ranta K, Wojcieszynski AP, Kruser T, Jarrard D, Liu Y, Yu M, Ritter MA, Floberg JM. Factors Associated with Grade 3-4 Late Toxicity after Hypofractionated Prostate Salvage Radiation. Int J Radiat Oncol Biol Phys 2023; 117:e429-e430. [PMID: 37785403 DOI: 10.1016/j.ijrobp.2023.06.1594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) We previously reported disease outcomes on patients treated with moderately hypofractionated salvage RT (65-70 Gy in 26-28 fractions using imaging guided IMRT) with >13 years of follow-up. The rate of all late surgical/radiation/disease related grade 3-5 toxicities was 27%, which were documented at a median of 8.7 years after the end of radiation. Here we performed an analysis to attempt to identify factors associated with these toxicities. MATERIALS/METHODS A total of 161 patients were analyzed; 44 patients experienced 58 late grade ≥3 toxicities. These were analyzed in several groups which included: all (n = 44), GU (n = 40), GU excluding incontinence (n = 35), stricture/fistula related (n = 28), hematuria related (n = 7), and grade 4 stricture/fistula related (n = 8). We investigated patient factors (age, preRT IPSS), surgical factors (clip volume, approach, margin status), and disease factors (stage, Gleason group, PSA nadir, preRT PSA, surgery to RT time). Surgical clip volume was contoured on CT and recorded in cc. Significance was determined using Mann-Whitney U test for continuous variables and Fisher's Exact test for binary variables. RESULTS A higher volume of surgical clips in the prostate fossa was found to be significantly related to eventual grade ≥3 stricture/fistula related event (p = 0.05). The mean surgical clip volume was found to be 2.30 cc in those with a documented grade ≥3 stricture/fistula compared to 1.23 cc in those without. Patients with a positive margin had a 30.0% rate of grade ≥3 GU toxicity compared to 16.2% in those with a negative margin (p = 0.03). Surgical clip volume was not found to be significantly related to pathologic stage, nor to eventual biochemical failure (p = 0.799/0.897). A positive margin was associated with a lower rate of biochemical failure after salvage (p = 0.04). Grade 3 events were documented at a median of 7.7 years and grade 4 events at 12.0 years after the end of radiation. CONCLUSION Our previous study found a high rate of grade ≥3 toxicities at time points for which there is a paucity of data both in conventional and hypofractionated regimens, particularly in the era of modern surgical and radiation techniques. We also found late toxicities can occur with increasing severity for many years after salvage radiotherapy. This analysis suggests that margin positivity and volume of surgical clips might identify patients at higher risk for late grade ≥3 toxicities, although the etiologies of these toxicities, whether surgery or radiation-related, are uncertain.
Collapse
Affiliation(s)
- K Ranta
- Department of Human Oncology, University of Wisconsin Hospitals and Clinics, Madison, WI
| | | | - T Kruser
- Department of Human Oncology, University of Wisconsin Hospitals and Clinics, Madison, WI
| | - D Jarrard
- Department of Urology, University of Wisconsin Hospitals and Clinics, Madison, WI
| | - Y Liu
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI
| | - M Yu
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI
| | - M A Ritter
- Department of Human Oncology, University of Wisconsin Hospitals and Clinics, Madison, WI
| | - J M Floberg
- Department of Human Oncology, University of Wisconsin Hospitals and Clinics, Madison, WI
| |
Collapse
|
13
|
Luo R, Su Z, Kang K, Yu M, Zhou X, Wu Y, Yao Z, Xiu W, Zhang X, Yu Y, Zhou L, Na F, Li Y, Xu Y, Liu Y, Zou B, Peng F, Wang J, Zhong R, Gong Y, Huang M, Bai S, Xue J, Yan D, Lu Y. Hybrid Immuno-RT for Bulky Tumors: Standard Fractionation with Partial Tumor SBRT. Int J Radiat Oncol Biol Phys 2023; 117:S166. [PMID: 37784416 DOI: 10.1016/j.ijrobp.2023.06.264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Bulky tumors remain challenging to be treated. Stereotactic body radiation therapy (SBRT) is effective against radioresistant tumor cells and can induce immunogenic cell death (ICD) that leads to T-cell-mediated antitumor effects. Low-dose radiation (LDRT) can inflame the tumor microenvironment (TME) by recruiting T cells. We designed a novel radiotherapy technique (RT, ERT) whose dose distribution map resembles the "eclipse" by concurrently delivering LDRT to the whole tumor, meanwhile SBRT to only a part of the same tumor. This study examined the safety and efficacy of ERT to bulky lesions with PD-1 inhibitors in mice and patients. MATERIALS/METHODS In mice with CT26 colon or LLC1 lung bulky tumors (400 - 500 cm3), the whole tumor was irradiated by LDRT (2 Gy x 3), meanwhile the tumor center was irradiated by SBRT (10 Gy x 3); αPD-1 was given weekly. The dependence of therapeutic effects on CD8+ T cells was determined using depleting antibodies. Frequencies of CD8+ T cells and M1 macrophages (Mφ) were determined by flow cytometry. Multiplex Immunohistochemistry (mIHC) was applied to analyze the number and the location of CD8+ T cells and their subpopulations, as well as the phospho-eIF2α level (the ICD marker) of tumor cells in TME. Patients with advanced lung or liver bulky tumors who failed standard treatment or with oncologic emergencies were treated. Kaplan-Meier method was applied to estimate patients' progression-free survival (PFS) and overall survival (OS). RESULTS ERT/αPD-1 is superior to SBRT/αPD-1 or LDRT/αPD-1 in controlling bulky tumors in both mouse models in a CD8+ T-cell dependent manner. In the CT26 model, ERT/αPD-1 resulted in complete tumor regression in 3/11 mice and induced more CD8+ T cells and M1 Mφ in TME compared to other groups. mIHC analysis showed that ERT/αPD-1 induced higher bulk, stem-like (TCF1+ TIM3- PD-1+), and more differentiated (TCF1- TIM3+ PD-1+) CD8+ T cells infiltration into the tumor center and periphery compared to other groups. Compared to untreated or LDRT-treated tumor centers, tumor centers irradiated with ERT or SBRT showed elevated phospho-eIF2α accompanied by higher dendritic cell infiltration. In total, 39 advanced cancer patients were treated with ERT/αPD-1 or plus chemotherapy. Radiation-induced pneumonitis occurred in 1 of 26 patients receiving thoracic ERT. There were two cases of grade III toxicity associated with PD-1 inhibitors. No toxicity above grade III was observed. The objective response rate was 38.5%. The median PFS was 5.6 months and median OS was not reached at a median follow-up of 11.7 months. CONCLUSION ERT/αPD-1 showed superior efficacy in controlling bulky tumor in two mouse models. The hybrid immuno-RT (ERT) combing PD-1 inhibitors was safe and effective in patients with bulky tumors. Further clinical trials in combination with bioimaging to identify the optimal SBRT target region for the bulky tumor are warranted.
Collapse
Affiliation(s)
- R Luo
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Z Su
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - K Kang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - M Yu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - X Zhou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Wu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Z Yao
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - W Xiu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - X Zhang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Yu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - L Zhou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - F Na
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Li
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Xu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Liu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - B Zou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - F Peng
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - J Wang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - R Zhong
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Gong
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - M Huang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - S Bai
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - J Xue
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - D Yan
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Lu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| |
Collapse
|
14
|
Gao Y, Zhao YJ, Li Y, Song JN, Zhang XZ, Sun Y, Yu M, Zhou Q. [The predictive value of melanin-concentrating hormone combined with other related biomarkers in cerebrospinal fluid in preoperative cognitive dysfunction of elderly patients]. Zhonghua Yi Xue Za Zhi 2023; 103:2772-2777. [PMID: 37723051 DOI: 10.3760/cma.j.cn112137-20230119-00112] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/20/2023]
Abstract
Objective: To explore the predictive value of cerebrospinal fluid melanin-concentrating hormone (MCH) combined with other related biomarkers in preoperative cognitive dysfunction of elderly patients. Methods: A total of 80 patients who underwent elective hip or knee replacement under intravertebral anesthesia in Chifeng Municipal Hospital, Inner Mongolia, from March to November 2022 were prospectively included, with 32 males and 48 females, and aged 65-85 (70.7±5.2) years old. According to the evaluation results of the Montreal Cognitive Assessment (MoCA), patients were divided into the preoperative cognitive dysfunction (n=23) and control (n=57) groups. The levels of MCH, amyloid-β 40 (Aβ40), amyloid-β 42 (Aβ42), and phosphorylated tau protein (p-tau) in cerebrospinal fluid were determined by enzyme-linked immunosorbent assay (ELISA). The receiver operating characteristic (ROC) curve was drawn to evaluate the predictive value of each biomarker separately or in combination for preoperative cognitive dysfunction. Spearman's rank correlation analysis was utilized to test the correlation between the level of each biomarker and MoCA scores. Results: The levels of MCH, Aβ40, Aβ42, p-tau, and Aβ42/p-tau in the preoperative cognitive dysfunction group were (35.53±5.94) μg/L, (39.21±9.18) ng/L, (221.83±43.17) ng/L, (42.64±9.74) ng/L, and 5.53±1.92, and the levels of these biomarkers in the control group were (28.74±4.90) μg/L, (36.37±7.87) ng/L, (280.23±45.67) ng/L, (35.00±9.27) ng/L, and 8.62±2.78, respectively. Compared with the control group, the levels of cerebrospinal fluid MCH and p-tau in the preoperative cognitive dysfunction group were significantly increased (all P<0.01), and the levels of Aβ42 and Aβ42/p-tau were significantly decreased (all P<0.001). MCH and Aβ42/p-tau provided higher predictive values. The area under the curve (AUC) of MCH and Aβ42/p-tau were 0.807 (95%CI: 0.703-0.911) and 0.842 (95%CI: 0.741-0.943), the sensitivity were 78.3% and 87.0%, and the specificity were 75.4% and 94.7%. MCH combined with Aβ42/p-tau have the higher AUC of 0.915 (95%CI: 0.837-0.992), the sensitivity (87.0%) and specificity (86.0%) were both high, which had a higher predictive value. The levels of cerebrospinal fluid MCH and p-tau were negatively correlated with MoCA score (r=-0.467, -0.321, all P<0.01), and the levels of Aβ42 and Aβ42/p-tau were positively correlated with MoCA score (r=0.480, 0.520, all P<0.001). Conclusion: The increase in cerebrospinal fluid MCH levels is associated with preoperative cognitive dysfunction in elderly patients. MCH combined with Aβ42/p-tau has the greatest predictive value.
Collapse
Affiliation(s)
- Y Gao
- Chifeng Clinical Medical College of Inner Mongolia Medical University, Chifeng 024000, China
| | - Y J Zhao
- Chifeng Clinical Medical College of Inner Mongolia Medical University, Chifeng 024000, China
| | - Y Li
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin Research Institute of Anesthesiology, Tianjin 300052, China
| | - J N Song
- Department of Anesthesiology, Chifeng Municipal Hospital of Inner Mongolia, Chifeng 024000, China
| | - X Z Zhang
- Department of Anesthesiology, Chifeng Municipal Hospital of Inner Mongolia, Chifeng 024000, China
| | - Y Sun
- Department of Anesthesiology, Chifeng Municipal Hospital of Inner Mongolia, Chifeng 024000, China
| | - M Yu
- Department of Anesthesiology, Chifeng Municipal Hospital of Inner Mongolia, Chifeng 024000, China
| | - Q Zhou
- Department of Anesthesiology, Chifeng Municipal Hospital of Inner Mongolia, Chifeng 024000, China
| |
Collapse
|
15
|
Abe K, Akhlaq N, Akutsu R, Ali A, Alonso Monsalve S, Alt C, Andreopoulos C, Antonova M, Aoki S, Arihara T, Asada Y, Ashida Y, Atkin ET, Barbi M, Barker GJ, Barr G, Barrow D, Batkiewicz-Kwasniak M, Bench F, Berardi V, Berns L, Bhadra S, Blanchet A, Blondel A, Bolognesi S, Bonus T, Bordoni S, Boyd SB, Bravar A, Bronner C, Bron S, Bubak A, Buizza Avanzini M, Caballero JA, Calabria NF, Cao S, Carabadjac D, Carter AJ, Cartwright SL, Catanesi MG, Cervera A, Chakrani J, Cherdack D, Chong PS, Christodoulou G, Chvirova A, Cicerchia M, Coleman J, Collazuol G, Cook L, Cudd A, Dalmazzone C, Daret T, Davydov YI, De Roeck A, De Rosa G, Dealtry T, Delogu CC, Densham C, Dergacheva A, Di Lodovico F, Dolan S, Douqa D, Doyle TA, Drapier O, Dumarchez J, Dunne P, Dygnarowicz K, Eguchi A, Emery-Schrenk S, Erofeev G, Ershova A, Eurin G, Fedorova D, Fedotov S, Feltre M, Finch AJ, Fiorentini Aguirre GA, Fiorillo G, Fitton MD, Franco Patiño JM, Friend M, Fujii Y, Fukuda Y, Fusshoeller K, Giannessi L, Giganti C, Glagolev V, Gonin M, González Rosa J, Goodman EAG, Gorin A, Grassi M, Guigue M, Hadley DR, Haigh JT, Hamacher-Baumann P, Harris DA, Hartz M, Hasegawa T, Hassani S, Hastings NC, Hayato Y, Henaff D, Hiramoto A, Hogan M, Holeczek J, Holin A, Holvey T, Hong Van NT, Honjo T, Iacob F, Ichikawa AK, Ikeda M, Ishida T, Ishitsuka M, Israel HT, Iwamoto K, Izmaylov A, Izumi N, Jakkapu M, Jamieson B, Jenkins SJ, Jesús-Valls C, Jiang JJ, Jonsson P, Joshi S, Jung CK, Jurj PB, Kabirnezhad M, Kaboth AC, Kajita T, Kakuno H, Kameda J, Kasetti SP, Kataoka Y, Katayama Y, Katori T, Kawaue M, Kearns E, Khabibullin M, Khotjantsev A, Kikawa T, Kikutani H, King S, Kiseeva V, Kisiel J, Kobata T, Kobayashi H, Kobayashi T, Koch L, Kodama S, Konaka A, Kormos LL, Koshio Y, Kostin A, Koto T, Kowalik K, Kudenko Y, Kudo Y, Kuribayashi S, Kurjata R, Kutter T, Kuze M, La Commara M, Labarga L, Lachner K, Lagoda J, Lakshmi SM, Lamers James M, Lamoureux M, Langella A, Laporte JF, Last D, Latham N, Laveder M, Lavitola L, Lawe M, Lee Y, Lin C, Lin SK, Litchfield RP, Liu SL, Li W, Longhin A, Long KR, Lopez Moreno A, Ludovici L, Lu X, Lux T, Machado LN, Magaletti L, Mahn K, Malek M, Mandal M, Manly S, Marino AD, Marti-Magro L, Martin DGR, Martini M, Martin JF, Maruyama T, Matsubara T, Matveev V, Mauger C, Mavrokoridis K, Mazzucato E, McCauley N, McElwee J, McFarland KS, McGrew C, McKean J, Mefodiev A, Megias GD, Mehta P, Mellet L, Metelko C, Mezzetto M, Miller E, Minamino A, Mineev O, Mine S, Miura M, Molina Bueno L, Moriyama S, Moriyama S, Morrison P, Mueller TA, Munford D, Munteanu L, Nagai K, Nagai Y, Nakadaira T, Nakagiri K, Nakahata M, Nakajima Y, Nakamura A, Nakamura H, Nakamura K, Nakamura KD, Nakano Y, Nakayama S, Nakaya T, Nakayoshi K, Naseby CER, Ngoc TV, Nguyen VQ, Niewczas K, Nishimori S, Nishimura Y, Nishizaki K, Nosek T, Nova F, Novella P, Nugent JC, O’Keeffe HM, O’Sullivan L, Odagawa T, Ogawa T, Okada R, Okinaga W, Okumura K, Okusawa T, Ospina N, Owen RA, Oyama Y, Palladino V, Paolone V, Pari M, Parlone J, Parsa S, Pasternak J, Pavin M, Payne D, Penn GC, Pershey D, Pickering L, Pidcott C, Pintaudi G, Pistillo C, Popov B, Porwit K, Posiadala-Zezula M, Prabhu YS, Pupilli F, Quilain B, Radermacher T, Radicioni E, Radics B, Ramírez MA, Ratoff PN, Reh M, Riccio C, Rondio E, Roth S, Roy N, Rubbia A, Ruggeri AC, Ruggles CA, Rychter A, Sakashita K, Sánchez F, Santucci G, Schloesser CM, Scholberg K, Scott M, Seiya Y, Sekiguchi T, Sekiya H, Sgalaberna D, Shaikhiev A, Shaker F, Shaykina A, Shiozawa M, Shorrock W, Shvartsman A, Skrobova N, Skwarczynski K, Smyczek D, Smy M, Sobczyk JT, Sobel H, Soler FJP, Sonoda Y, Speers AJ, Spina R, Suslov IA, Suvorov S, Suzuki A, Suzuki SY, Suzuki Y, Sztuc AA, Tada M, Tairafune S, Takayasu S, Takeda A, Takeuchi Y, Takifuji K, Tanaka HK, Tanihara Y, Tani M, Teklu A, Tereshchenko VV, Teshima N, Thamm N, Thompson LF, Toki W, Touramanis C, Towstego T, Tsui KM, Tsukamoto T, Tzanov M, Uchida Y, Vagins M, Vargas D, Varghese M, Vasseur G, Vilela C, Villa E, Vinning WGS, Virginet U, Vladisavljevic T, Wachala T, Walsh JG, Wang Y, Wan L, Wark D, Wascko MO, Weber A, Wendell R, Wilking MJ, Wilkinson C, Wilson JR, Wood K, Wret C, Xia J, Xu YH, Yamamoto K, Yamamoto T, Yanagisawa C, Yang G, Yano T, Yasutome K, Yershov N, Yevarouskaya U, Yokoyama M, Yoshimoto Y, Yoshimura N, Yu M, Zaki R, Zalewska A, Zalipska J, Zaremba K, Zarnecki G, Zhao X, Zhu T, Ziembicki M, Zimmerman ED, Zito M, Zsoldos S. Measurements of neutrino oscillation parameters from the T2K experiment using 3.6×1021 protons on target. Eur Phys J C Part Fields 2023; 83:782. [PMID: 37680254 PMCID: PMC10480298 DOI: 10.1140/epjc/s10052-023-11819-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 07/10/2023] [Indexed: 09/09/2023]
Abstract
The T2K experiment presents new measurements of neutrino oscillation parameters using 19.7 ( 16.3 ) × 10 20 protons on target (POT) in (anti-)neutrino mode at the far detector (FD). Compared to the previous analysis, an additional 4.7 × 10 20 POT neutrino data was collected at the FD. Significant improvements were made to the analysis methodology, with the near-detector analysis introducing new selections and using more than double the data. Additionally, this is the first T2K oscillation analysis to use NA61/SHINE data on a replica of the T2K target to tune the neutrino flux model, and the neutrino interaction model was improved to include new nuclear effects and calculations. Frequentist and Bayesian analyses are presented, including results on sin 2 θ 13 and the impact of priors on the δ CP measurement. Both analyses prefer the normal mass ordering and upper octant of sin 2 θ 23 with a nearly maximally CP-violating phase. Assuming the normal ordering and using the constraint on sin 2 θ 13 from reactors, sin 2 θ 23 = 0 . 561 - 0.032 + 0.021 using Feldman-Cousins corrected intervals, and Δ m 32 2 = 2 . 494 - 0.058 + 0.041 × 10 - 3 eV 2 using constant Δ χ 2 intervals. The CP-violating phase is constrained to δ CP = - 1 . 97 - 0.70 + 0.97 using Feldman-Cousins corrected intervals, and δ CP = 0 , π is excluded at more than 90% confidence level. A Jarlskog invariant of zero is excluded at more than 2 σ credible level using a flat prior in δ CP , and just below 2 σ using a flat prior in sin δ CP . When the external constraint on sin 2 θ 13 is removed, sin 2 θ 13 = 28 . 0 - 6.5 + 2.8 × 10 - 3 , in agreement with measurements from reactor experiments. These results are consistent with previous T2K analyses.
Collapse
Affiliation(s)
- K. Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - N. Akhlaq
- School of Physics and Astronomy, Queen Mary University of London, London, UK
| | - R. Akutsu
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - A. Ali
- TRIUMF, Vancouver, BC Canada
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
| | - S. Alonso Monsalve
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - C. Alt
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - C. Andreopoulos
- Department of Physics, University of Liverpool, Liverpool, UK
| | - M. Antonova
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - S. Aoki
- Kobe University, Kobe, Japan
| | - T. Arihara
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - Y. Asada
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - Y. Ashida
- Department of Physics, Kyoto University, Kyoto, Japan
| | - E. T. Atkin
- Department of Physics, Imperial College London, London, UK
| | - M. Barbi
- Department of Physics, University of Regina, Regina, Saskatchewan Canada
| | - G. J. Barker
- Department of Physics, University of Warwick, Coventry, UK
| | - G. Barr
- Department of Physics, Oxford University, Oxford, UK
| | - D. Barrow
- Department of Physics, Oxford University, Oxford, UK
| | | | - F. Bench
- Department of Physics, University of Liverpool, Liverpool, UK
| | - V. Berardi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - L. Berns
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - S. Bhadra
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Blanchet
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - A. Blondel
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - S. Bolognesi
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - T. Bonus
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - S. Bordoni
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - S. B. Boyd
- Department of Physics, University of Warwick, Coventry, UK
| | - A. Bravar
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - C. Bronner
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. Bron
- TRIUMF, Vancouver, BC Canada
| | - A. Bubak
- Institute of Physics, University of Silesia, Katowice, Poland
| | - M. Buizza Avanzini
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - J. A. Caballero
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - N. F. Calabria
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - S. Cao
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
| | - D. Carabadjac
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
- Université Paris-Saclay, Gif-sur-Yvette, France
| | - A. J. Carter
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
| | - S. L. Cartwright
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - M. G. Catanesi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - A. Cervera
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - J. Chakrani
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - D. Cherdack
- Department of Physics, University of Houston, Houston, TX USA
| | - P. S. Chong
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - G. Christodoulou
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - A. Chvirova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Cicerchia
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
- INFN-Laboratori Nazionali di Legnaro, Legnaro, Italy
| | - J. Coleman
- Department of Physics, University of Liverpool, Liverpool, UK
| | - G. Collazuol
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - L. Cook
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Oxford University, Oxford, UK
| | - A. Cudd
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - C. Dalmazzone
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - T. Daret
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Yu. I. Davydov
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - A. De Roeck
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - G. De Rosa
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - T. Dealtry
- Physics Department, Lancaster University, Lancaster, UK
| | - C. C. Delogu
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - C. Densham
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Dergacheva
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - F. Di Lodovico
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - S. Dolan
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - D. Douqa
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - T. A. Doyle
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - O. Drapier
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - J. Dumarchez
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - P. Dunne
- Department of Physics, Imperial College London, London, UK
| | - K. Dygnarowicz
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - A. Eguchi
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - S. Emery-Schrenk
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - G. Erofeev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - A. Ershova
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - G. Eurin
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - D. Fedorova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - S. Fedotov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Feltre
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. J. Finch
- Physics Department, Lancaster University, Lancaster, UK
| | | | - G. Fiorillo
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - M. D. Fitton
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - J. M. Franco Patiño
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - M. Friend
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Fujii
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Fukuda
- Department of Physics, Miyagi University of Education, Sendai, Japan
| | - K. Fusshoeller
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - L. Giannessi
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - C. Giganti
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - V. Glagolev
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - M. Gonin
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582 Japan
| | - J. González Rosa
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - E. A. G. Goodman
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - A. Gorin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Grassi
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - M. Guigue
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - D. R. Hadley
- Department of Physics, University of Warwick, Coventry, UK
| | - J. T. Haigh
- Department of Physics, University of Warwick, Coventry, UK
| | | | - D. A. Harris
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - M. Hartz
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- TRIUMF, Vancouver, BC Canada
| | - T. Hasegawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - S. Hassani
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - N. C. Hastings
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - Y. Hayato
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - D. Henaff
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - A. Hiramoto
- Department of Physics, Kyoto University, Kyoto, Japan
| | - M. Hogan
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
| | - J. Holeczek
- Institute of Physics, University of Silesia, Katowice, Poland
| | - A. Holin
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - T. Holvey
- Department of Physics, Oxford University, Oxford, UK
| | - N. T. Hong Van
- International Centre of Physics, Institute of Physics (IOP), Vietnam Academy of Science and Technology (VAST), 10 Dao Tan, Ba Dinh, Hanoi, Vietnam
| | - T. Honjo
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - F. Iacob
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. K. Ichikawa
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - M. Ikeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - T. Ishida
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - M. Ishitsuka
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - H. T. Israel
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - K. Iwamoto
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Izmaylov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - N. Izumi
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - M. Jakkapu
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - B. Jamieson
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
| | - S. J. Jenkins
- Department of Physics, University of Liverpool, Liverpool, UK
| | - C. Jesús-Valls
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - J. J. Jiang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - P. Jonsson
- Department of Physics, Imperial College London, London, UK
| | - S. Joshi
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - C. K. Jung
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - P. B. Jurj
- Department of Physics, Imperial College London, London, UK
| | - M. Kabirnezhad
- Department of Physics, Imperial College London, London, UK
| | - A. C. Kaboth
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - T. Kajita
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - H. Kakuno
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - J. Kameda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. P. Kasetti
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - Y. Kataoka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Katayama
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - T. Katori
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - M. Kawaue
- Department of Physics, Kyoto University, Kyoto, Japan
| | - E. Kearns
- Department of Physics, Boston University, Boston, MA USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. Khabibullin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - A. Khotjantsev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - T. Kikawa
- Department of Physics, Kyoto University, Kyoto, Japan
| | - H. Kikutani
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - S. King
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - V. Kiseeva
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - J. Kisiel
- Institute of Physics, University of Silesia, Katowice, Poland
| | - T. Kobata
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - H. Kobayashi
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - T. Kobayashi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - L. Koch
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - S. Kodama
- Department of Physics, University of Tokyo, Tokyo, Japan
| | | | - L. L. Kormos
- Physics Department, Lancaster University, Lancaster, UK
| | - Y. Koshio
- Department of Physics, Okayama University, Okayama, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - A. Kostin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - T. Koto
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - K. Kowalik
- National Centre for Nuclear Research, Warsaw, Poland
| | - Y. Kudenko
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- Moscow Institute of Physics and Technology (MIPT), Moscow Region, Russia and National Research Nuclear University “MEPhI”, Moscow, Russia
| | - Y. Kudo
- Department of Physics, Yokohama National University, Yokohama, Japan
| | | | - R. Kurjata
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - T. Kutter
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - M. Kuze
- Department of Physics, Tokyo Institute of Technology, Tokyo, Japan
| | - M. La Commara
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - L. Labarga
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - K. Lachner
- Department of Physics, University of Warwick, Coventry, UK
| | - J. Lagoda
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. M. Lakshmi
- National Centre for Nuclear Research, Warsaw, Poland
| | - M. Lamers James
- Physics Department, Lancaster University, Lancaster, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - M. Lamoureux
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. Langella
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - J.-F. Laporte
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - D. Last
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - N. Latham
- Department of Physics, University of Warwick, Coventry, UK
| | - M. Laveder
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - L. Lavitola
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - M. Lawe
- Physics Department, Lancaster University, Lancaster, UK
| | - Y. Lee
- Department of Physics, Kyoto University, Kyoto, Japan
| | - C. Lin
- Department of Physics, Imperial College London, London, UK
| | - S.-K. Lin
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - R. P. Litchfield
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - S. L. Liu
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - W. Li
- Department of Physics, Oxford University, Oxford, UK
| | - A. Longhin
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - K. R. Long
- Department of Physics, Imperial College London, London, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - A. Lopez Moreno
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - L. Ludovici
- INFN Sezione di Roma and Università di Roma “La Sapienza”, Rome, Italy
| | - X. Lu
- Department of Physics, University of Warwick, Coventry, UK
| | - T. Lux
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - L. N. Machado
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - L. Magaletti
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - K. Mahn
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
| | - M. Malek
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - M. Mandal
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. Manly
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
| | - A. D. Marino
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - L. Marti-Magro
- Department of Physics, Yokohama National University, Yokohama, Japan
| | | | - M. Martini
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- IPSA-DRII, Ivry-sur-Seine, France
| | - J. F. Martin
- Department of Physics, University of Toronto, Toronto, ON Canada
| | - T. Maruyama
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - T. Matsubara
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - V. Matveev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - C. Mauger
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - K. Mavrokoridis
- Department of Physics, University of Liverpool, Liverpool, UK
| | - E. Mazzucato
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - N. McCauley
- Department of Physics, University of Liverpool, Liverpool, UK
| | - J. McElwee
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - K. S. McFarland
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
| | - C. McGrew
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - J. McKean
- Department of Physics, Imperial College London, London, UK
| | - A. Mefodiev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - G. D. Megias
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - P. Mehta
- Department of Physics, University of Liverpool, Liverpool, UK
| | - L. Mellet
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - C. Metelko
- Department of Physics, University of Liverpool, Liverpool, UK
| | - M. Mezzetto
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - E. Miller
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - A. Minamino
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - O. Mineev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - S. Mine
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - M. Miura
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | | | - S. Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - S. Moriyama
- Department of Physics, Yokohama National University, Yokohama, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - P. Morrison
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - Th. A. Mueller
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - D. Munford
- Department of Physics, University of Houston, Houston, TX USA
| | - L. Munteanu
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - K. Nagai
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - Y. Nagai
- Department of Atomic Physics, Eötvös Loránd University, Budapest, Hungary
| | - T. Nakadaira
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - K. Nakagiri
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - M. Nakahata
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Nakajima
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Nakamura
- Department of Physics, Okayama University, Okayama, Japan
| | - H. Nakamura
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - K. Nakamura
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- J-PARC, Tokai, Japan
| | - K. D. Nakamura
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - Y. Nakano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. Nakayama
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - T. Nakaya
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Kyoto University, Kyoto, Japan
| | - K. Nakayoshi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | | | - T. V. Ngoc
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
- The Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam
| | - V. Q. Nguyen
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - K. Niewczas
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - S. Nishimori
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - Y. Nishimura
- Department of Physics, Keio University, Yokohama, Kanagawa Japan
| | - K. Nishizaki
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - T. Nosek
- National Centre for Nuclear Research, Warsaw, Poland
| | - F. Nova
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - P. Novella
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - J. C. Nugent
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | | | - L. O’Sullivan
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - T. Odagawa
- Department of Physics, Kyoto University, Kyoto, Japan
| | - T. Ogawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - R. Okada
- Department of Physics, Okayama University, Okayama, Japan
| | - W. Okinaga
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - K. Okumura
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
| | - T. Okusawa
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - N. Ospina
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - R. A. Owen
- School of Physics and Astronomy, Queen Mary University of London, London, UK
| | - Y. Oyama
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - V. Palladino
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - V. Paolone
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA USA
| | - M. Pari
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - J. Parlone
- Department of Physics, University of Liverpool, Liverpool, UK
| | - S. Parsa
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - J. Pasternak
- Department of Physics, Imperial College London, London, UK
| | | | - D. Payne
- Department of Physics, University of Liverpool, Liverpool, UK
| | - G. C. Penn
- Department of Physics, University of Liverpool, Liverpool, UK
| | - D. Pershey
- Department of Physics, Duke University, Durham, NC USA
| | - L. Pickering
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
| | - C. Pidcott
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - G. Pintaudi
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - C. Pistillo
- Laboratory for High Energy Physics (LHEP), Albert Einstein Center for Fundamental Physics, University of Bern, Bern, Switzerland
| | - B. Popov
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- JINR, Dubna, Russia
| | - K. Porwit
- Institute of Physics, University of Silesia, Katowice, Poland
| | | | - Y. S. Prabhu
- National Centre for Nuclear Research, Warsaw, Poland
| | - F. Pupilli
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - B. Quilain
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - T. Radermacher
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - E. Radicioni
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - B. Radics
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - M. A. Ramírez
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - P. N. Ratoff
- Physics Department, Lancaster University, Lancaster, UK
| | - M. Reh
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - C. Riccio
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - E. Rondio
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. Roth
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - N. Roy
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Rubbia
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - A. C. Ruggeri
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - C. A. Ruggles
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - A. Rychter
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - K. Sakashita
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - F. Sánchez
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - G. Santucci
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - C. M. Schloesser
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - K. Scholberg
- Department of Physics, Duke University, Durham, NC USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. Scott
- Department of Physics, Imperial College London, London, UK
| | - Y. Seiya
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Science Department, BMCC/CUNY, New York, NY USA
| | - T. Sekiguchi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - H. Sekiya
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - D. Sgalaberna
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - A. Shaikhiev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - F. Shaker
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Shaykina
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Shiozawa
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - W. Shorrock
- Department of Physics, Imperial College London, London, UK
| | - A. Shvartsman
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - N. Skrobova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | | | - D. Smyczek
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - M. Smy
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
| | - J. T. Sobczyk
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - H. Sobel
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - F. J. P. Soler
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - Y. Sonoda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - A. J. Speers
- Physics Department, Lancaster University, Lancaster, UK
| | - R. Spina
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - I. A. Suslov
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - S. Suvorov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | | | - S. Y. Suzuki
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Suzuki
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - A. A. Sztuc
- Department of Physics, Imperial College London, London, UK
| | - M. Tada
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - S. Tairafune
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - S. Takayasu
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - A. Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Takeuchi
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kobe University, Kobe, Japan
| | - K. Takifuji
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - H. K. Tanaka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - Y. Tanihara
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - M. Tani
- Department of Physics, Kyoto University, Kyoto, Japan
| | - A. Teklu
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | | | - N. Teshima
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - N. Thamm
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - L. F. Thompson
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - W. Toki
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
| | - C. Touramanis
- Department of Physics, University of Liverpool, Liverpool, UK
| | - T. Towstego
- Department of Physics, University of Toronto, Toronto, ON Canada
| | - K. M. Tsui
- Department of Physics, University of Liverpool, Liverpool, UK
| | - T. Tsukamoto
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - M. Tzanov
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - Y. Uchida
- Department of Physics, Imperial College London, London, UK
| | - M. Vagins
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - D. Vargas
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - M. Varghese
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - G. Vasseur
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - C. Vilela
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - E. Villa
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | | | - U. Virginet
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | | | - T. Wachala
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - J. G. Walsh
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
| | - Y. Wang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - L. Wan
- Department of Physics, Boston University, Boston, MA USA
| | - D. Wark
- Department of Physics, Oxford University, Oxford, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - M. O. Wascko
- Department of Physics, Imperial College London, London, UK
| | - A. Weber
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - R. Wendell
- Department of Physics, Kyoto University, Kyoto, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. J. Wilking
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - C. Wilkinson
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - J. R. Wilson
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - K. Wood
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - C. Wret
- Department of Physics, Oxford University, Oxford, UK
| | - J. Xia
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - Y.-H. Xu
- Physics Department, Lancaster University, Lancaster, UK
| | - K. Yamamoto
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Nambu Yoichiro Institute of Theoretical and Experimental Physics (NITEP), Osaka, Japan
| | - T. Yamamoto
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - C. Yanagisawa
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Science Department, BMCC/CUNY, New York, NY USA
| | - G. Yang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - T. Yano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - K. Yasutome
- Department of Physics, Kyoto University, Kyoto, Japan
| | - N. Yershov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - U. Yevarouskaya
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - M. Yokoyama
- Department of Physics, University of Tokyo, Tokyo, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - Y. Yoshimoto
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - N. Yoshimura
- Department of Physics, Kyoto University, Kyoto, Japan
| | - M. Yu
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - R. Zaki
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Zalewska
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - J. Zalipska
- National Centre for Nuclear Research, Warsaw, Poland
| | - K. Zaremba
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - G. Zarnecki
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - X. Zhao
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - T. Zhu
- Department of Physics, Imperial College London, London, UK
| | - M. Ziembicki
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - E. D. Zimmerman
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - M. Zito
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - S. Zsoldos
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - T2K Collaboration
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
- Laboratory for High Energy Physics (LHEP), Albert Einstein Center for Fundamental Physics, University of Bern, Bern, Switzerland
- Department of Physics, Boston University, Boston, MA USA
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
- Department of Physics, Duke University, Durham, NC USA
- Department of Atomic Physics, Eötvös Loránd University, Budapest, Hungary
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- Department of Physics, University of Houston, Houston, TX USA
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
- IFIC (CSIC and University of Valencia), Valencia, Spain
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
- Department of Physics, Imperial College London, London, UK
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
- INFN Sezione di Roma and Università di Roma “La Sapienza”, Rome, Italy
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- International Centre of Physics, Institute of Physics (IOP), Vietnam Academy of Science and Technology (VAST), 10 Dao Tan, Ba Dinh, Hanoi, Vietnam
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582 Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Keio University, Yokohama, Kanagawa Japan
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
- Kobe University, Kobe, Japan
- Department of Physics, Kyoto University, Kyoto, Japan
- Physics Department, Lancaster University, Lancaster, UK
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
- Department of Physics, University of Liverpool, Liverpool, UK
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
- Department of Physics, Miyagi University of Education, Sendai, Japan
- National Centre for Nuclear Research, Warsaw, Poland
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Department of Physics, Okayama University, Okayama, Japan
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Department of Physics, Oxford University, Oxford, UK
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA USA
- School of Physics and Astronomy, Queen Mary University of London, London, UK
- Department of Physics, University of Regina, Regina, Saskatchewan Canada
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
- Institute of Physics, University of Silesia, Katowice, Poland
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
- Department of Physics, University of Tokyo, Tokyo, Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
- Department of Physics, Tokyo Institute of Technology, Tokyo, Japan
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
- Department of Physics, University of Toronto, Toronto, ON Canada
- TRIUMF, Vancouver, BC Canada
- Faculty of Physics, University of Warsaw, Warsaw, Poland
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
- Department of Physics, University of Warwick, Coventry, UK
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
- Department of Physics, Yokohama National University, Yokohama, Japan
- Department of Physics and Astronomy, York University, Toronto, ON Canada
- Université Paris-Saclay, Gif-sur-Yvette, France
- INFN-Laboratori Nazionali di Legnaro, Legnaro, Italy
- J-PARC, Tokai, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
- Moscow Institute of Physics and Technology (MIPT), Moscow Region, Russia and National Research Nuclear University “MEPhI”, Moscow, Russia
- IPSA-DRII, Ivry-sur-Seine, France
- The Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam
- JINR, Dubna, Russia
- Nambu Yoichiro Institute of Theoretical and Experimental Physics (NITEP), Osaka, Japan
- Science Department, BMCC/CUNY, New York, NY USA
| |
Collapse
|
16
|
Helzer KT, Sharifi MN, Sperger JM, Shi Y, Annala M, Bootsma ML, Reese SR, Taylor A, Kaufmann KR, Krause HK, Schehr JL, Sethakorn N, Kosoff D, Kyriakopoulos C, Burkard ME, Rydzewski NR, Yu M, Harari PM, Bassetti M, Blitzer G, Floberg J, Sjöström M, Quigley DA, Dehm SM, Armstrong AJ, Beltran H, McKay RR, Feng FY, O'Regan R, Wisinski KB, Emamekhoo H, Wyatt AW, Lang JM, Zhao SG. Fragmentomic analysis of circulating tumor DNA-targeted cancer panels. Ann Oncol 2023; 34:813-825. [PMID: 37330052 PMCID: PMC10527168 DOI: 10.1016/j.annonc.2023.06.001] [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: 12/09/2022] [Revised: 05/30/2023] [Accepted: 06/06/2023] [Indexed: 06/19/2023] Open
Abstract
BACKGROUND The isolation of cell-free DNA (cfDNA) from the bloodstream can be used to detect and analyze somatic alterations in circulating tumor DNA (ctDNA), and multiple cfDNA-targeted sequencing panels are now commercially available for Food and Drug Administration (FDA)-approved biomarker indications to guide treatment. More recently, cfDNA fragmentation patterns have emerged as a tool to infer epigenomic and transcriptomic information. However, most of these analyses used whole-genome sequencing, which is insufficient to identify FDA-approved biomarker indications in a cost-effective manner. PATIENTS AND METHODS We used machine learning models of fragmentation patterns at the first coding exon in standard targeted cancer gene cfDNA sequencing panels to distinguish between cancer and non-cancer patients, as well as the specific tumor type and subtype. We assessed this approach in two independent cohorts: a published cohort from GRAIL (breast, lung, and prostate cancers, non-cancer, n = 198) and an institutional cohort from the University of Wisconsin (UW; breast, lung, prostate, bladder cancers, n = 320). Each cohort was split 70%/30% into training and validation sets. RESULTS In the UW cohort, training cross-validated accuracy was 82.1%, and accuracy in the independent validation cohort was 86.6% despite a median ctDNA fraction of only 0.06. In the GRAIL cohort, to assess how this approach performs in very low ctDNA fractions, training and independent validation were split based on ctDNA fraction. Training cross-validated accuracy was 80.6%, and accuracy in the independent validation cohort was 76.3%. In the validation cohort where the ctDNA fractions were all <0.05 and as low as 0.0003, the cancer versus non-cancer area under the curve was 0.99. CONCLUSIONS To our knowledge, this is the first study to demonstrate that sequencing from targeted cfDNA panels can be utilized to analyze fragmentation patterns to classify cancer types, dramatically expanding the potential capabilities of existing clinically used panels at minimal additional cost.
Collapse
Affiliation(s)
- K T Helzer
- Department of Human Oncology, University of Wisconsin, Madison
| | - M N Sharifi
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - J M Sperger
- Department of Medicine, University of Wisconsin, Madison, USA
| | - Y Shi
- Department of Human Oncology, University of Wisconsin, Madison
| | - M Annala
- Department of Urologic Sciences, Vancouver Prostate Centre, University of British Columbia, Vancouver, Canada; Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - M L Bootsma
- Department of Human Oncology, University of Wisconsin, Madison
| | - S R Reese
- Department of Human Oncology, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - A Taylor
- Department of Medicine, University of Wisconsin, Madison, USA
| | - K R Kaufmann
- Department of Medicine, University of Wisconsin, Madison, USA
| | - H K Krause
- Department of Medicine, University of Wisconsin, Madison, USA
| | - J L Schehr
- Carbone Cancer Center, University of Wisconsin, Madison
| | - N Sethakorn
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - D Kosoff
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - C Kyriakopoulos
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - M E Burkard
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - N R Rydzewski
- Department of Human Oncology, University of Wisconsin, Madison
| | - M Yu
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison
| | - P M Harari
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison
| | - M Bassetti
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison
| | - G Blitzer
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison
| | - J Floberg
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison
| | - M Sjöström
- Department of Radiation Oncology, University of California San Francisco, San Francisco; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco
| | - D A Quigley
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco; Departments of Epidemiology and Biostatistics; Urology, University of California San Francisco, San Francisco
| | - S M Dehm
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis
| | - A J Armstrong
- Duke Cancer Institute Center for Prostate and Urologic Cancers, Department of Medicine, Duke University, Durham
| | - H Beltran
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston
| | - R R McKay
- Moores Cancer Center, University of California San Diego, La Jolla
| | - F Y Feng
- Department of Radiation Oncology, University of California San Francisco, San Francisco; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis; Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco
| | - R O'Regan
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA; Department of Medicine, University of Rochester, Rochester, USA
| | - K B Wisinski
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - H Emamekhoo
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - A W Wyatt
- Department of Urologic Sciences, Vancouver Prostate Centre, University of British Columbia, Vancouver, Canada; Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, Canada
| | - J M Lang
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - S G Zhao
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison; William S. Middleton Memorial Veterans' Hospital, Madison, USA.
| |
Collapse
|
17
|
Ding JN, Liu HC, Yu M, Liu Y, Han D. [Measurement and analysis of the crown conical degree of maxillary incisors in patients with congenital tooth agenesis caused by different gene mutations]. Zhonghua Kou Qiang Yi Xue Za Zhi 2023; 58:821-828. [PMID: 37550043 DOI: 10.3760/cma.j.cn112144-20230328-00119] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/09/2023]
Abstract
Objective: To measure the crown conical degree of the remaining maxillary incisors in patients with congenital tooth agenesis, and to analyze the influence of different gene mutations on the crown conical degree of patients. Methods: Whole exome sequencing was performed on 85 patients with congenital tooth agenesis (50 males, 35 females, median age 19 years old) who visited the Department of Prosthodontics, Peking University School and Hospital of Stomatology from January 2019 to January 2023. The pathogenic gene was identified. The width of the crowns of the maxillary central and lateral incisors at the incisal 1/3 and gingival 1/3 were measured on the panoramic radiograph, and the ratio was defined as the crown conical degree. The smaller the ratio is, the more likely is the crown to be peg shaped teeth. The control group was matched by age and gender with 85 other patients with intact maxillary permanent incisors who were treated in the Department of Prosthodontics, Peking University School and Hospital of Stomatology from January 2019 to January 2023. The conical degree of the tooth agenesis group was compared with the control group by t-test, and the differences in the crown conical degree in different gene mutation groups were compared using one-way analysis of variance, and the multiple comparisons among gene groups were carried out using the LSD method. Results: Among the 85 tooth agenesis patients, the numbers of patients in each gene mutation group were 20 in ectodysplasin A (EDA) group, 8 in ectodysplasin A receptor (EDAR) group, 15 in wingless-type MMTV integration site family, member 10A (WNT10A) group, 16 in paired box 9 (PAX9) group, 10 in Msh homeobox 1 (MSX1) group, 10 in low-density lipoprotein receptor related protein 6 (LRP6) group, and 6 in bone morphogenetic protein4 (BMP4) group. The number of missing teeth were 1-27, median number 15 among the tooth agenesis patients. There was no significant difference in the conical degree between the left and right homonymous teeth in the congenital tooth agenesis group and the control group (P>0.05). The crown conical degree of maxillary central incisor and lateral incisor in the congenital missing teeth group (0.95±0.24, 0.90±0.22) was significantly smaller than that in the control group (1.12±0.09, 1.13±0.09) (t=-8.50, P<0.001; t=-11.47, P<0.001). In WNT10A mutants, the conical degree of lateral incisors (0.89±0.18) was less than that of central incisors (1.07±0.15)(t=3.68, P<0.001). The conical degree of central incisors and lateral incisors (0.70±0.23, 0.57±0.15) of EDA mutants was significantly lower than that in patients with other gene mutations (P>0.05). Conclusions: Compared with the normal control group, the remaining maxillary central and lateral incisors of the seven gene mutation groups of patients with congenital tooth agenesis all had different degrees of conical crown. Among them, the crown conical degree of maxillary central and lateral incisors of the EDA mutation was the most severe, and the WNT10A mutation affected the maxillary lateral incisors more specifically.
Collapse
Affiliation(s)
- J N Ding
- Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - H C Liu
- Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - M Yu
- Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - Y Liu
- Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - D Han
- Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| |
Collapse
|
18
|
Yu M, Hao ZL, Xu LY, Wen YF, Han F, Gao XM. [Characteristics of narrow hypopharynx in patients with catathrenia]. Zhonghua Kou Qiang Yi Xue Za Zhi 2023; 58:1-10. [PMID: 37381602 DOI: 10.3760/cma.j.cn112144-20230429-00175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/30/2023]
Abstract
Objective: To analyze whether the upper airway of patients with catathrenia has obstructive manifestations using nasal resistance, craniofacial, and upper airway imaging methods, which could benefit the exploration of the etiology and treatment options. Methods: From August 2012 to September 2019, a total of 57 patients with catathrenia in the Department of Orthodontics at Peking University Hospital of Stomatology were included in the study, including 22 males and 35 females, aged (31.1±10.9) years, with a body mass index of (21.7±2.7) kg/m2. All the patients were diagnosed by full-night polysomnography at the Sleep Division, Peking University People's Hospital, of which 10 patients were combined with obstructive sleep apnea hypopnea syndrome (OSAHS). The median groaning index of patients was 4.8 (1.8, 13) events/h. Nasal resistance and cone-beam CT were conducted on the patients, and measurements were performed on the craniofacial structures, upper airway, and surrounding soft tissues, compared with non-snoring normal occlusion individuals' references published by the same research team (144 college students recruited at Peking University and 100 non-snoring young adults with normal occlusion recruited at six universities in Beijing). Results: The total nasal resistance of patients with catathrenia was (0.26±0.08) Pa·cm-3·s-1. The patients had overall well-developed mandibular hard tissues. However, the patients were found with increased FH/BaN (steep anterior cranial base plane), increased MP/FH (forward rotation of the mandible); increased U1/NA and L1/MP (proclined upper and lower incisors). The sagittal diameter of the velopharynx [(19.2±4.5) mm] was significantly larger than the normal reference (t=8.44, P<0.001), while the sagittal diameter at the hypopharynx [(17.4±6.4) mm] was statistically smaller than the normal reference (t=-2.79, P=0.006). Catarhrenia patients combined with OSAHS presented longer soft palate, tongue, and lower hyoid bone than those with primary catathrenia. Conclusions: In patients with catathrenia, the overall craniofacial characteristics are well-developed skeletal structures, lower nasal resistance, proclined upper and lower incisors, wide upper sagittal development of the upper airway and but narrow hypopharynx. Groaning sounds might be related to the narrowing of the hypopharynx during sleep.
Collapse
Affiliation(s)
- M Yu
- Department of Orthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - Z L Hao
- Department of Orthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - L Y Xu
- Sleep Division, Peking University People's Hospital, Beijing 100044, China
| | - Y F Wen
- Sleep Division, Peking University People's Hospital, Beijing 100044, China
| | - F Han
- Sleep Division, Peking University People's Hospital, Beijing 100044, China
| | - X M Gao
- Department of Orthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| |
Collapse
|
19
|
Fu SS, Zhu LL, Li HR, Zhou XY, Yu M, Qin HQ. [Efficacy of intravenous thrombolysis with tenecteplase in treating the branch atheromatous disease]. Zhonghua Yi Xue Za Zhi 2023; 103:1753-1758. [PMID: 37305934 DOI: 10.3760/cma.j.cn112137-20230217-00226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the efficacy of intravenous thrombolysis with tenecteplase (TNK) in the treatment of branch atheromatous disease (BAD). Methods: A total of 148 BAD patients hospitalized in the stroke center of Zhengzhou People's Hospital from January 2020 to March 2023 were retrospectively included. According to whether TNK was used for treatment, the patients were divided into the TNK group (52 cases) and the control group (96 cases). The propensity score matching (PSM) method was used to eliminate baseline differences between the two groups, and 46 pairs were successfully matched. Early neurological deterioration (END) was defined as an increase in the national Institutes of Health Stroke Scale (NIHSS) scores within 7 days of stroke≥2. The 90-day modified Rankin Scale (mRS) was used to compare the long-term efficacy between the two groups. A binary logistic regression model was used to analyze the influencing factors of clinical outcomes in patients with BAD. Results: Among the 92 patients, 62 were males and 30 were females, with an average age of (61.0±9.5) years. After PSM, there were statistically significant differences in NIHSS score at discharge [2 (0, 4) vs 4 (3, 8)] and length of hospital stay [9 (6, 13) d vs 11 (9, 14) d] (both P<0.05) between the two groups. The proportion of mRS 0-2 in TNK group was higher than that in the control group [82.6%(38/46) vs 60.8%(28/46)], while the proportion of END and mRS≥4 was lower than that in the control group [10.8%(5/46) vs 30.4%(14/46); 8.7%(4/46) vs 26.0%(12/46)], with statistically significant differences (P<0.05). The 90-day mortality in the control group was 2.2% (1/46), while no death was detected in the TNK group. Conclusion: Intravenous thrombolysis therapy with TNK can not only increase the proportion of 90-day mRS 0-2 in BAD patients, but also reduce the incidence of END.
Collapse
Affiliation(s)
- S S Fu
- Department of Neurology, the Fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou 450003, China
| | - L L Zhu
- Department of Neurology, the Fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou 450003, China
| | - H R Li
- Department of Neurology, the Fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou 450003, China
| | - X Y Zhou
- Department of Neurology, the Fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou 450003, China
| | - M Yu
- Department of Neurology, the Fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou 450003, China
| | - H Q Qin
- Neurology Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| |
Collapse
|
20
|
Yu M, Schewe M, Bauer G, Rembe C. Improved demodulated phase signal resolution for carrier signals with small modulation index by clipping and synchronous sampling for heterodyne interferometers. Sci Rep 2023; 13:8570. [PMID: 37237111 DOI: 10.1038/s41598-023-35000-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023] Open
Abstract
Digitization of phase-modulated carrier signals with a commercially available analog-to-digital converter (ADC) is a common task in many communication and sensor applications. ADCs deliver phase-modulated digital carrier signals, which are numerically demodulated in order to extract the relevant information. However, the limited dynamic ranges of available ADCs limit the carrier-to-noise ratio of carrier signals after digitization. Correspondingly, the resolution of the demodulated digital signal is degraded. We demonstrate a sampling method with a simple demodulation scheme for phase-modulated signals with a small modulation index. Our new scheme overcomes the limitation due to digital noise defined by the ADC. Through simulations and experiments, we provide evidence that our method can improve the resolution of the demodulated digital signal significantly, when the carrier-to-noise ratio of phase-modulated signals is limited by digital noise. We employ our sampling and demodulation scheme to solve the problem of a possible degradation of measurement resolution after digital demodulation in heterodyne interferometers measuring small vibration amplitudes.
Collapse
Affiliation(s)
- M Yu
- Department of Applied Metrology, Institute of Electrical Information Technology, TU Clausthal, Clausthal-Zellerfeld, Germany.
| | - M Schewe
- Department of Applied Metrology, Institute of Electrical Information Technology, TU Clausthal, Clausthal-Zellerfeld, Germany
| | - G Bauer
- Department of Applied Metrology, Institute of Electrical Information Technology, TU Clausthal, Clausthal-Zellerfeld, Germany
| | - C Rembe
- Department of Applied Metrology, Institute of Electrical Information Technology, TU Clausthal, Clausthal-Zellerfeld, Germany
| |
Collapse
|
21
|
Yu M, Zhang Q, Kong FC, Zhou YL, Li F. [Hemophagocytic lymphohistiocytosis following treatment with CAR-T therapy: two cases reports and literature review]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:424-426. [PMID: 37550194 PMCID: PMC10440612 DOI: 10.3760/cma.j.issn.0253-2727.2023.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Indexed: 08/09/2023]
Affiliation(s)
- M Yu
- Department of Hematology, The First Affiliated Hospital of Nanchang University, Institute of Hematology, Academy of Clinical Medicine of Jiangxi Province, Institute of Lymphoma of Nanchang University, Nanchang 330006, China
| | - Q Zhang
- Department of Hematology, The First Affiliated Hospital of Nanchang University, Institute of Hematology, Academy of Clinical Medicine of Jiangxi Province, Institute of Lymphoma of Nanchang University, Nanchang 330006, China
| | - F C Kong
- Department of Hematology, The First Affiliated Hospital of Nanchang University, Institute of Hematology, Academy of Clinical Medicine of Jiangxi Province, Institute of Lymphoma of Nanchang University, Nanchang 330006, China
| | - Y L Zhou
- Department of Hematology, The First Affiliated Hospital of Nanchang University, Institute of Hematology, Academy of Clinical Medicine of Jiangxi Province, Institute of Lymphoma of Nanchang University, Nanchang 330006, China
| | - F Li
- Department of Hematology, The First Affiliated Hospital of Nanchang University, Institute of Hematology, Academy of Clinical Medicine of Jiangxi Province, Institute of Lymphoma of Nanchang University, Nanchang 330006, China
| |
Collapse
|
22
|
Zheng DF, Li JY, Li JX, Zhang YS, Zhong YF, Yu M. [Pathologic features of paraspinal muscle biopsies in patients with adolescent idiopathic scoliosis]. Beijing Da Xue Xue Bao Yi Xue Ban 2023; 55:283-291. [PMID: 37042139 PMCID: PMC10091240] [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: 04/13/2023]
Abstract
OBJECTIVE To characterize the paraspinal muscles of adolescent idiopathic scoliosis (AIS) patients, and to further explore its etiology. METHODS Clinical records and paraspinal muscle biopsies at the apex vertebra region during posterior scoliosis correction surgery of 18 AIS were collected from November 2018 to August 2019. Following standardized processing of fresh muscle tissue biopsy, serial sections with conventional hematoxylin-eosin (HE) and histochemical and immunohistochemical (IHC) with antibody Dystrophin-1 (R-domain), Dystrophin-2 (C-terminal), Dystrophin-3 (N-terminal), Dystrophin-total, Myosin (fast), major histocompatibility complex 1 (MHC-1), CD4, CD8, CD20, and CD68 staining were obtained. Biopsy samples were grouped according to the subjects' median Cobb angle (Cobb angle ≥ 55° as severe AIS group and Cobb angle < 55° as mild AIS group) and Nash-Moe's classification respectively, and the corresponding pathological changes were compared between the groups statistically. RESULTS Among the 18 AIS patients, 8 were in the severe AIS group (Cobb angle ≥55°) and 10 in the mild AIS group (Cobb angle < 55°). Both severe and mild AIS groups presented various of atrophy and degeneration of paraspinal muscles, varying degrees and staining patterns of immune-expression of Dystrophin-3 loss, especially Dystrophin-2 loss in severe AIS group with significant differences, as well as among the Nash-Moe classification subgroups. Besides, infiltration of CD4+ and CD8+ cells in the paraspinal muscles and tendons was observed in all the patients while CD20+ cells were null. The expression of MHC-1 on myolemma was present in some muscle fibers. CONCLUSION The histologic of paraspinal muscle biopsy in AIS had similar characteristic changes, the expression of Dystrophin protein was significantly reduced and correlated with the severity of scoliosis, suggesting that Dystrophin protein dysfunctions might contribute to the development of scoliosis. Meanwhile, the inflammatory changes of AIS were mainly manifested by T cell infiltration, and there seemed to be a certain correlation between inflammatory cell infiltration, MHC-1 expression and abnormal expression of Dystrophin. Further research along the lines of this result may open up new ideas for the diagnosis of scoliosis and the treatment of paraspinal myopathy.
Collapse
Affiliation(s)
- D F Zheng
- Department of Pathology, School of Basic Medical Sciences Peking University/Peking University Third Hospital, Beijing 100191, China
| | - J Y Li
- Departmant of Orthopaedics, Peking University Third Hospital, Beijing 100191, China
- Beijing Key Laboratory of Spinal Disease Research, Peking University Third Hospital, Beijing 100191, China
| | - J X Li
- School of Basic Medical Sciences, Peking University, Beijing 100191, China
| | - Y S Zhang
- Departmant of Neurology, Peking University Third Hospital, Beijing 100191, China
| | - Y F Zhong
- Department of Pathology, School of Basic Medical Sciences Peking University/Peking University Third Hospital, Beijing 100191, China
| | - M Yu
- Departmant of Orthopaedics, Peking University Third Hospital, Beijing 100191, China
- Beijing Key Laboratory of Spinal Disease Research, Peking University Third Hospital, Beijing 100191, China
| |
Collapse
|
23
|
Yu X, Feng B, Lan Y, Li J, Ye G, Li Q, Zhao F, Gu Y, You D, Zhu Y, Yu M, Wang H, Yang H. A 2-Stage Root Analog Implant with Compact Structure, Uniform Roughness, and High Accuracy. J Dent Res 2023; 102:636-644. [PMID: 37036092 DOI: 10.1177/00220345231160670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2023] Open
Abstract
Immediate implant placement has the advantages of shortening the operation time, reducing the treatment cycle and cost. At present, this technology has been used widely, but the indications of immediate implantation are still limited. Here, a novel type of root analog implant (RAI) was manufactured by selective laser melting technology to address the limitation. Under optimized condition, RAIs were printed with the internal density of 99.73% and the uniform surface roughness of 11 μm (Sa). Besides, the deviation between RAI specimen and design models is controlled within 0.15 mm after optimizing scanning parameters. The substrate printed could promote human bone marrow stromal cell proliferation, spreading, and osteogenic differentiation. The bone-implant contact (BIC, 75% ± 7%) and bone volume/total volume (BV/TV, 74% ± 7%) of RAIs were significantly higher than that of conventional implants (BIC, 66% ± 5%; BV/TV, 62% ± 5%) in in vivo experiments. Further, customized abutments were designed for the RAIs, improving the masticatory ability of the beagle dogs after crown restoration. This study aims to design a personalized 2-stage RAI with compact structure and uniform roughness, in order to achieve better fracture resistance, initial osseointegration efficiency, and dispersed stress in immediate implantation. It provides a certain guiding value for standardizing the manufacture and clinical application of RAI in immediate implantation.
Collapse
Affiliation(s)
- X Yu
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Clinical Research Center for Oral Diseases of Zhejiang Province, Hangzhou, Zhejiang, China
- Key Laboratory of Oral Biomedical Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | - B Feng
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Clinical Research Center for Oral Diseases of Zhejiang Province, Hangzhou, Zhejiang, China
- Key Laboratory of Oral Biomedical Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Y Lan
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Clinical Research Center for Oral Diseases of Zhejiang Province, Hangzhou, Zhejiang, China
- Key Laboratory of Oral Biomedical Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | - J Li
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
| | - G Ye
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Clinical Research Center for Oral Diseases of Zhejiang Province, Hangzhou, Zhejiang, China
- Key Laboratory of Oral Biomedical Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Q Li
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Clinical Research Center for Oral Diseases of Zhejiang Province, Hangzhou, Zhejiang, China
- Key Laboratory of Oral Biomedical Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | - F Zhao
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Clinical Research Center for Oral Diseases of Zhejiang Province, Hangzhou, Zhejiang, China
- Key Laboratory of Oral Biomedical Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Y Gu
- State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, Zhejiang, China
| | - D You
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Clinical Research Center for Oral Diseases of Zhejiang Province, Hangzhou, Zhejiang, China
- Key Laboratory of Oral Biomedical Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Y Zhu
- State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, Zhejiang, China
| | - M Yu
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Clinical Research Center for Oral Diseases of Zhejiang Province, Hangzhou, Zhejiang, China
- Key Laboratory of Oral Biomedical Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | - H Wang
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Clinical Research Center for Oral Diseases of Zhejiang Province, Hangzhou, Zhejiang, China
- Key Laboratory of Oral Biomedical Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | - H Yang
- State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, Zhejiang, China
| |
Collapse
|
24
|
Miao K, Cao WH, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang YJ, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Gao WJ, Li LM. [A descriptive analysis of hyperlipidemia in adult twins in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:544-551. [PMID: 37147824 DOI: 10.3760/cma.j.cn112338-20221007-00859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Objective: To describe the distribution characteristics of hyperlipidemia in adult twins in the Chinese National Twin Registry (CNTR) and explore the effect of genetic and environmental factors on hyperlipidemia. Methods: Twins recruited from the CNTR in 11 project areas across China were included in the study. A total of 69 130 (34 565 pairs) of adult twins with complete information on hyperlipidemia were selected for analysis. The random effect model was used to characterize the population and regional distribution of hyperlipidemia among twins. The concordance rates of hyperlipidemia were calculated in monozygotic twins (MZ) and dizygotic twins (DZ), respectively, to estimate the heritability. Results: The age of all participants was (34.2±12.4) years. This study's prevalence of hyperlipidemia was 1.3% (895/69 130). Twin pairs who were men, older, living in urban areas, married,had junior college degree or above, overweight, obese, insufficient physical activity, current smokers, ex-smokers, current drinkers, and ex-drinkers had a higher prevalence of hyperlipidemia (P<0.05). In within-pair analysis, the concordance rate of hyperlipidemia was 29.1% (118/405) in MZ and 18.1% (57/315) in DZ, and the difference was statistically significant (P<0.05). Stratified by gender, age, and region, the concordance rate of hyperlipidemia in MZ was still higher than that in DZ. Further, in within-same-sex twin pair analyses, the heritability of hyperlipidemia was 13.04% (95%CI: 2.61%-23.47%) in the northern group and 18.59% (95%CI: 4.43%-32.74%) in the female group, respectively. Conclusions: Adult twins were included in this study and were found to have a lower prevalence of hyperlipidemia than in the general population study, with population and regional differences. Genetic factors influence hyperlipidemia, but the genetic effect may vary with gender and area.
Collapse
Affiliation(s)
- K Miao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S F Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y J Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X P Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control , Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Disease Prevention and Control , Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150090, China
| | - J Deng
- Handan Center for Disease Control and Prevention of Hebei Province, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650034, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| |
Collapse
|
25
|
Wang YT, Cao WH, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang YJ, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Gao WJ, Li LM. [A descriptive analysis on hypertension in adult twins in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:536-543. [PMID: 37147823 DOI: 10.3760/cma.j.cn112338-20221007-00860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Objective: To describe the distribution characteristics of hypertension among adult twins in the Chinese National Twin Registry (CNTR) and to provide clues for exploring the role of genetic and environmental factors on hypertension. Methods: A total of 69 220 (34 610 pairs) of twins aged 18 and above with hypertension information were selected from CNTR registered from 2010 to 2018. Random effect models were used to describe the population and regional distribution of hypertension in twins. To estimate the heritability, the concordance rates of hypertension were calculated and compared between monozygotic twins (MZ) and dizygotic twins (DZ). Results: The age of all participants was (34.1±12.4) years. The overall self-reported prevalence of hypertension was 3.8%(2 610/69 220). Twin pairs who were older, living in urban areas, married, overweight or obese, current smokers or ex-smokers, and current drinkers or abstainers had a higher self-reported prevalence of hypertension (P<0.05). Analysis within the same-sex twin pairs found that the concordance rate of hypertension was 43.2% in MZ and 27.0% in DZ, and the difference was statistically significant (P<0.001). The heritability of hypertension was 22.1% (95%CI: 16.3%- 28.0%). Stratified by gender, age, and region, the concordance rate of hypertension in MZ was still higher than that in DZ. The heritability of hypertension was higher in female participants. Conclusions: There were differences in the distribution of hypertension among twins with different demographic and regional characteristics. It is indicated that genetic factors play a crucial role in hypertension in different genders, ages, and regions, while the magnitude of genetic effects may vary.
Collapse
Affiliation(s)
- Y T Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S F Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y J Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X P Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336,China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Disease Prevention and Control, Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150090, China
| | - J Deng
- Handan Center for Disease Control and Prevention of Hebei Province, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650034, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| |
Collapse
|
26
|
Luo R, Su Z, Kang K, Yu M, Zhou X, Wu Y, Yao Z, Xiu W, Yu Y, Zhou L, Na F, Li Y, Zhang X, Zou B, Peng F, Wang J, Xue J, Gong Y, Lu Y. 197P Combining stereotactic body radiation and low-dose radiation (EclipseRT) with PD-1 inhibitor in mice models and patients with bulky tumor. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00450-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
|
27
|
Huang F, He N, Yu M, Li D, Yang D. Identification and fine mapping of a new bacterial blight resistance gene, Xa43(t), in Zhangpu wild rice (Oryza rufipogon). Plant Biol (Stuttg) 2023; 25:433-439. [PMID: 36689326 DOI: 10.1111/plb.13502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 12/23/2022] [Indexed: 06/17/2023]
Abstract
Bacterial blight (BB) is currently considered one of the most serious rice diseases and is caused by Xanthomonas oryzae pv. oryzae (Xoo). Numerous studies have shown that breeding resistant rice varieties is one of the most effective methods to prevent BB, and it is important to identify and isolate more BB resistance (R) genes from different rice resources. Using a map-based approach, we identified a new QTL/gene, Xa43(t), from ZhangPu wild rice, which was highly resistant to the BB isolate PX099. We performed bulked segregant analysis combined with candidate gene prediction to identify the candidate gene. The Xa43(t) gene was narrowed down to a 29-kb region containing four putative genes. More importantly, the candidate gene Xa43(t) did not affect the main agronomic traits of rice. We also identified a widely applicable molecular marker, namely Inde1-18, which co-segregates with the Xa43(t) gene. The Xa43(t) gene is a new broad-spectrum BB resistance gene without identified alleles and has good application prospects for rice disease resistance breeding.
Collapse
Affiliation(s)
- F Huang
- Rice Research Institute, Fujian Academy of Agricultural Sciences, Fujian High Quality Rice Research & Development Center, Fuzhou, China
| | - N He
- Rice Research Institute, Fujian Academy of Agricultural Sciences, Fujian High Quality Rice Research & Development Center, Fuzhou, China
| | - M Yu
- Rice Research Institute, Fujian Academy of Agricultural Sciences, Fujian High Quality Rice Research & Development Center, Fuzhou, China
| | - D Li
- Anxi Agricultural and Rural Bureau, Anxi, Fujian Province, China
| | - D Yang
- Rice Research Institute, Fujian Academy of Agricultural Sciences, Fujian High Quality Rice Research & Development Center, Fuzhou, China
| |
Collapse
|
28
|
Jing R, Lin X, Ding Z, Chang S, Shi L, Liu L, Wang Q, Si J, Yu M, Zhuo C, Shi J, Li P, Fan Y, Lu L. Heterogeneous brain dynamic functional connectivity patterns in first-episode drug-naive patients with major depressive disorder. Hum Brain Mapp 2023; 44:3112-3122. [PMID: 36919400 PMCID: PMC10171501 DOI: 10.1002/hbm.26266] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 03/16/2023] Open
Abstract
It remains challenging to identify depression accurately due to its biological heterogeneity. As people suffering from depression are associated with functional brain network alterations, we investigated subtypes of patients with first-episode drug-naive (FEDN) depression based on brain network characteristics. This study included data from 91 FEDN patients and 91 matched healthy individuals obtained from the International Big-Data Center for Depression Research. Twenty large-scale functional connectivity networks were computed using group information guided independent component analysis. A multivariate unsupervised normative modeling method was used to identify subtypes of FEDN and their associated networks, focusing on individual-level variability among the patients for quantifying deviations of their brain networks from the normative range. Two patient subtypes were identified with distinctive abnormal functional network patterns, consisting of 10 informative connectivity networks, including the default mode network and frontoparietal network. 16% of patients belonged to subtype I with larger extreme deviations from the normal range and shorter illness duration, while 84% belonged to subtype II with weaker extreme deviations and longer illness duration. Moreover, the structural changes in subtype II patients were more complex than the subtype I patients. Compared with healthy controls, both increased and decreased gray matter (GM) abnormalities were identified in widely distributed brain regions in subtype II patients. In contrast, most abnormalities were decreased GM in subtype I. The informative functional network connectivity patterns gleaned from the imaging data can facilitate the accurate identification of FEDN-MDD subtypes and their associated neurobiological heterogeneity.
Collapse
Affiliation(s)
- Rixing Jing
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, China
| | - Xiao Lin
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Chinese Academy of Medical Sciences Research Unit, Peking University, Beijing, China
| | - Zengbo Ding
- National Institute on Drug Dependence and Beijing Key Laboratory on Drug Dependence Research, Peking University, Beijing, China
| | - Suhua Chang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Chinese Academy of Medical Sciences Research Unit, Peking University, Beijing, China
| | - Le Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Chinese Academy of Medical Sciences Research Unit, Peking University, Beijing, China
| | - Lin Liu
- National Institute on Drug Dependence and Beijing Key Laboratory on Drug Dependence Research, Peking University, Beijing, China
| | - Qiandong Wang
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Juanning Si
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, China
| | - Mingxin Yu
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, China
| | - Chuanjun Zhuo
- Key Laboratory of Real-Time Tracing of Brain Circuits of Neurology and Psychiatry (RTBNB_Lab), Tianjin Fourth Centre Hospital, Tianjin Medical University Affiliated Tianjin Fourth Centre Hospital, Nankai University Affiliated Fourth Hospital, Tianjin, China
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory on Drug Dependence Research, Peking University, Beijing, China
| | - Peng Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Chinese Academy of Medical Sciences Research Unit, Peking University, Beijing, China
| | - Yong Fan
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Chinese Academy of Medical Sciences Research Unit, Peking University, Beijing, China.,National Institute on Drug Dependence and Beijing Key Laboratory on Drug Dependence Research, Peking University, Beijing, China.,Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| |
Collapse
|
29
|
Yu M, Li YP, Zhou YJ, Shi DM. [Comparison of leadless pacemaker and conventional pacemaker for quality of life improvement in patients with bradyarrhythmias]. Zhonghua Yi Xue Za Zhi 2023; 103:733-739. [PMID: 36889686 DOI: 10.3760/cma.j.cn112137-20221114-02383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/10/2023]
Abstract
Objective: To compare the improvement in quality of life (QoL) after implantation of leadless pacemakers (L-PM) with that of conventional pacemakers (C-PM) in patients with slow-onset arrhythmias. Methods: A total of 112 patients who received pacemaker implantation for the first time at Beijing Anzhen Hospital from January 2020 to July 2021 were selected, including 50 leadless pacemakers (L-PM) and 62 conventional pacemakers (C-PM). Clinical baseline data were collected, pacemaker-related complications and SF-36 scores were recorded and followed up at 1, 3, and 12 months post-operatively; SF-36 questionnaires and additional questionnaires were completed to compare the quality of life of the 2 groups; and factors associated with the change in QoL from baseline to 1, 3 and 12 months post-operatively were analyzed using multiple linear regression models. Results: The age of the 112 patients was (70.3±10.5) years, and 69 patients (61.6%) were male. The age of patients with L-PM and C-PM was (75.8±8.5) years and (67.5±10.4) years, respectively (P=0.004). In the L-PM group, 50 patients completed 1-, 3-, and 12-month follow-up. In the C-PM group, 62 patients completed the 1-month and 3-month follow-up, and 60 completed the 12-month follow-up. The C-PM group had a higher incidence of discomfort in the surgical area, impact of daily activities for the discomfort in the surgical area, and concern about heart or overall condition than the L-PM group on the additional questionnaire (all P values<0.05). After adjusting for age and SF-36 scores at baseline, at 12th month of follow-up, patients implanted with C-PM had lower values for quality of life PF, RP, SF, RE, and MH scores compared to patients implanted with L-PM, with beta values (95%CI) of -24.500 (-30.010--18.981), -27.118 (-32.997--21.239), -8.085 (-12.536--3.633), -4.839 (-9.437--0.241), -12.430 (-18.558--6.301), respectively (all P values<0.05). Conclusions: L-PM is associated with better QoL in slow arrhythmias patients, and patients who received L-PM reported less activity limitations due to surgical discomfort and less emotional distress.
Collapse
Affiliation(s)
- M Yu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University,Beijing 100029, China
| | - Y P Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University,Beijing 100029, China
| | - Y J Zhou
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University,Beijing 100029, China
| | - D M Shi
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart disease, Capital Medical University,Beijing 100029, China
| |
Collapse
|
30
|
Wang R, Yu M, Xia J, Ren Z, Xing J, Li C, Xu Q, Cang J, Zhang D. Cold stress triggers freezing tolerance in wheat (Triticum aestivum L.) via hormone regulation and transcription of related genes. Plant Biol (Stuttg) 2023; 25:308-321. [PMID: 36385725 DOI: 10.1111/plb.13489] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 11/07/2022] [Indexed: 06/16/2023]
Abstract
Low temperatures limit the geographic distribution and yield of plants. Hormones play an important role in coordinating the growth and development of plants and their tolerance to low temperatures. However, the mechanisms by which hormones affect plant resistance to extreme cold stress in the natural environment are still unclear. In this study, two winter wheat varieties with different cold resistances, Dn1 and J22, were used to conduct targeted plant hormone metabolome analysis on the tillering nodes of winter wheat at 5 °C, -10 °C and -25 °C using an LC-ESI-MS/MS system. We screened 39 hormones from 88 plant hormone metabolites and constructed a partial regulatory network of auxin, jasmonic acid and cytokinin. GO analysis and enrichment of KEGG pathways in different metabolites showed that the 'plant hormone signal transduction' pathway was the most common. Our study showed that extreme low temperature increased the most levels of auxin, cytokinin and salicylic acid, and decreased levels of jasmonic acid and abscisic acid, and that levels of auxin, jasmonic acid and cytokinin in Dn1 were higher than those in J22. These changes in hormone levels were associated with changes in gene expression in synthesis, catabolism, transport and signal transduction pathways. These results differ from the previous hormone regulation mechanisms, which were mostly obtained at 4 °C. Our results provide a basis for further understanding the molecular mechanisms by which plant endogenous hormones regulate plant freezing stress tolerance.
Collapse
Affiliation(s)
- R Wang
- College of Life Science, Northeast Agricultural University, Harbin, China
| | - M Yu
- College of Life Science, Northeast Agricultural University, Harbin, China
| | - J Xia
- College of Life Science, Northeast Agricultural University, Harbin, China
| | - Z Ren
- College of Life Science, Northeast Agricultural University, Harbin, China
| | - J Xing
- College of Life Science, Northeast Agricultural University, Harbin, China
| | - C Li
- College of Life Science, Northeast Agricultural University, Harbin, China
| | - Q Xu
- College of Life Science, Northeast Agricultural University, Harbin, China
| | - J Cang
- College of Life Science, Northeast Agricultural University, Harbin, China
| | - D Zhang
- College of Life Science, Northeast Agricultural University, Harbin, China
| |
Collapse
|
31
|
Wang J, Li N, Zhong C, Miao J, Huang Z, Yu M, Hu YX, Luo S, Zou Y, Li K, Yang C. Metal-Perturbed Multiresonance TADF Emitter Enables High-Efficiency and Ultralow Efficiency Roll-Off Nonsensitized OLEDs with Pure Green Gamut. Adv Mater 2023; 35:e2208378. [PMID: 36534824 DOI: 10.1002/adma.202208378] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/17/2022] [Indexed: 06/17/2023]
Abstract
Multiresonance (MR)-induced thermally activated delayed fluorescence (TADF) emitters based on B- and N-embedded polycyclic aromatics are desirable for ultrahigh-definition organic light-emitting diodes (OLEDs) due to their high photoluminescence quantum yield (PLQY) and narrow bandwidth. But the reverse intersystem crossing (RISC) rates of MR-TADF emitters are usually small, resulting in severe device efficiency roll-off at high brightness. To solve this issue, a sensitizer for the MR-TADF emitter has been required. Herein, a new MR-TADF emitter is developed through coordination of Au with B/N-embedded polycyclic ligand. Benefitting from the Au perturbation, the RISC rate is dramatically accelerated to 2.3 × 107 s-1 , leading to delayed fluorescence lifetime as short as 4.3 µs. Meanwhile, the PLQY of 95% and full width at half maximum of 39 nm (0.18 eV) are essentially unchanged after metal coordination. Therefore, a high PLQY, short delayed fluorescence lifetime, and high color purity are concurrently realized in a single TADF emitter. Accordingly, vacuum-deposited OLEDs exhibit high-performance electroluminescence with a maximum external quantum efficiency (EQE) of 35.8% without sensitization. The EQE is maintained as high as 32.3% at 10 000 cd m-2 . Furthermore, solution-processed OLED based on the emitter also achieves excellent performance with a maximum EQE of 25.7% and a small efficiency roll-off.
Collapse
Affiliation(s)
- Junjie Wang
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518055, P. R. China
| | - Nengquan Li
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518055, P. R. China
| | - Cheng Zhong
- Department of Chemistry, Hubei Key Lab on Organic and Polymeric Optoelectronic Materials, Wuhan University, Wuhan, 430072, P. R. China
| | - Jingsheng Miao
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518055, P. R. China
| | - Zhongyan Huang
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518055, P. R. China
| | - Mingxin Yu
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518055, P. R. China
| | - Yu Xuan Hu
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518055, P. R. China
| | - Sai Luo
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518055, P. R. China
| | - Yang Zou
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518055, P. R. China
| | - Kai Li
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518055, P. R. China
| | - Chuluo Yang
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518055, P. R. China
| |
Collapse
|
32
|
Jia Q, Wang S, Yu M, Wang Q, Yan F. Two QSAR models for predicting the toxicity of chemicals towards Tetrahymena pyriformis based on topological-norm descriptors and spatial-norm descriptors. SAR QSAR Environ Res 2023; 34:147-161. [PMID: 36749040 DOI: 10.1080/1062936x.2023.2171478] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Quantitative structure-activity relationship (QSAR) is important for safe, rapid and effective risk assessment of chemicals. In this study, two QSAR models were established with 1230 chemicals to predict toxicity towards Tetrahymena pyriformis using multiple linear regression (MLR) method. The topological(T)-QSAR model was developed by using topological-norm descriptors generated from the topological structure, and the spatial(S)-QSAR model were built with spatial-norm descriptors obtained from the three-dimensional structure of molecules and topological-norm descriptors. The r2training and r2test are 0.8304 and 0.8338 for the T-QSAR model, and 0.8485 and 0.8585 for the S-QSAR model, which means that T-QSAR model and S-QSAR model can be used to predict toxicity quickly and accurately. In addition, we also conducted validation on the developed models. Satisfying validation results and statistical parameters demonstrated that QSAR models based on the topological-norm descriptors and spatial-norm descriptors proposed in this paper could be further utilized to estimate the toxicity of chemicals towards Tetrahymena pyriformis.
Collapse
Affiliation(s)
- Q Jia
- School of Marine and Environmental Science, Tianjin Marine Environmental Protection and Restoration Technology Engineering Center, Tianjin University of Science and Technology, Tianjin, PR China
| | - S Wang
- School of Marine and Environmental Science, Tianjin Marine Environmental Protection and Restoration Technology Engineering Center, Tianjin University of Science and Technology, Tianjin, PR China
| | - M Yu
- School of Chemical Engineering and Material Science, Tianjin University of Science and Technology, Tianjin, PR China
| | - Q Wang
- School of Chemical Engineering and Material Science, Tianjin University of Science and Technology, Tianjin, PR China
| | - F Yan
- School of Chemical Engineering and Material Science, Tianjin University of Science and Technology, Tianjin, PR China
| |
Collapse
|
33
|
Sheng Y, Yu M, Liu P, Wang X, Bai X, Zhou X. The association between experience-based risky choice and mathematical ability. Psych J 2023; 12:137-149. [PMID: 36223898 DOI: 10.1002/pchj.612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 09/20/2022] [Indexed: 11/06/2022]
Abstract
Mathematical ability has always been considered an important influencing factor in description-based risky choices. Experience-based risky choices, which occur frequently in daily life, are very different from description-based risky choices. The association between experience-based risky choice and mathematical ability remains unknown. This study adopts the feedback paradigm for experience-based risky choice to explore the association between multiple mathematical abilities and experience-based risky choice. The results show that, in experience-based risky choice, mathematical ability did not influence the decision to pursue higher expected value, but it did influence preference for risky. Thus, our study contributes to a more comprehensive view of mathematical ability and risky choice.
Collapse
Affiliation(s)
- Youyu Sheng
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,Faculty of Psychology, Tianjin Normal University, Tianjin, China
| | - Mingxin Yu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Pengfei Liu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Xiaozhuang Wang
- Faculty of Psychology, Tianjin Normal University, Tianjin, China
| | - Xuejun Bai
- Faculty of Psychology, Tianjin Normal University, Tianjin, China
| | - Xinlin Zhou
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| |
Collapse
|
34
|
Bao XD, Shi YX, Yu M, Liu SJ, Mi LH, Wu C, Hu WP. [Establishment of contralateral arteriovenous fistula by using the waste vein on the side of central venous lesion: a case report]. Zhonghua Gan Zang Bing Za Zhi 2023; 39:36-38. [PMID: 36776013 DOI: 10.3760/cma.j.cn441217-20220321-00342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
Central venous lesion is a difficult problem in the vascular access complications of hemodialysis, which can cause serious clinical symptoms and affect the quality of hemodialysis and life of patients. We established arteriovenous fistula of the contralateral graft blood vessel with the used vein on the diseased side of the central vein of the patient. The arteriovenous fistula of the graft blood vessel was successfully punctured and hemodialysis was performed 2 weeks later. In this way, we not only solved the problem of venous hypertension and subsequent vascular access in the patient, but also reserved more vascular resources.
Collapse
Affiliation(s)
- X D Bao
- Department of Vascular Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - Y X Shi
- Department of Vascular Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - M Yu
- Department of Vascular Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - S J Liu
- Department of Vascular Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - L H Mi
- Department of Vascular Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - C Wu
- Department of Vascular Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - W P Hu
- Department of Vascular Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| |
Collapse
|
35
|
Zou Y, Yu M, Miao J, Huang T, Liao S, Cao X, Yang C. Dynamic Bond Interaction Fine-Tunes the Properties of Multiple Resonance Emitters towards Highly Efficient Narrowband Green OLEDs. Chem Sci 2023; 14:3326-3331. [PMID: 36970083 PMCID: PMC10034151 DOI: 10.1039/d3sc00246b] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
Multiple resonance (MR) molecules based on B/N polycyclic aromatic framework are the cutting-edge materials in the field of organic light-emitting diodes (OLEDs) for their superb photophysical properties. Tailoring MR molecular...
Collapse
Affiliation(s)
- Yang Zou
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University Shenzhen 518060 PR China
| | - Mingxin Yu
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University Shenzhen 518060 PR China
| | - Jingsheng Miao
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University Shenzhen 518060 PR China
| | - Taian Huang
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University Shenzhen 518060 PR China
| | - Shuokun Liao
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University Shenzhen 518060 PR China
| | - Xiaosong Cao
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University Shenzhen 518060 PR China
| | - Chuluo Yang
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University Shenzhen 518060 PR China
| |
Collapse
|
36
|
Neate SL, Bevens W, Jelinek PL, Gray KM, Weiland TJ, Nag N, Simpson-Yap S, Jelinek GA, Yu M, Reece JC. A multiple sclerosis lifestyle behavior online course: Qualitative analysis of participants' motivations, expectations and experiences. Front Public Health 2022; 10:1022185. [PMID: 36568793 PMCID: PMC9768550 DOI: 10.3389/fpubh.2022.1022185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 11/17/2022] [Indexed: 12/12/2022] Open
Abstract
Background Modification of lifestyle-related risk factors for multiple sclerosis (MS) has been associated with improved health outcomes when compared with standard medical management alone. Based on an existing lifestyle modification program offered as a residential workshop, the MS Online Course (MSOC) was developed to translate the workshop into an online intervention. We performed a pilot randomized controlled trial (RCT), to assess the feasibility concepts of accessibility, learnability and desirability through quantitative and qualitative analyzes. In the present study, we performed additional qualitative analyzes to explore participants' motivations, expectations, and experiences of the MSOC. This study aims to complement prior feasibility analyzes and inform recruitment strategies and course content redevelopment so that its effectiveness may be assessed by examining behavior change and health outcomes in a future larger RCT. Methods Participants were recruited via online advertisements and randomized to either: the standard care course, containing material sourced from public facing MS websites; or the intervention course, based on an evidence-based lifestyle modification program for people with MS. Course completers were invited to participate in semi-structured interviews. Within a qualitative paradigm, reflexive thematic analysis of interviews was undertaken. Results Of 31 eligible participants, 17 completed the MSOC and 14 agreed to be interviewed. Four themes were identified in this analysis: (1) "Wanting to help others" (helping through volunteering, contributing to knowledge base, spreading the word; (2) "Seeking knowledge" (confirmation of existing knowledge; obtaining new knowledge, relevant, credible information); (3) "Doing what I can to help myself" (understanding lifestyle modification, changing my lifestyle, remaining well); and (4) "Changing attitudes" (finding positivity, feeling more confident and in control). Conclusions Participants were motivated to help others through research, help themselves by improving knowledge and to find ways to better manage their MS. Expectations included obtaining credible, reliable information, to substantiate existing knowledge, and to further understand lifestyle modification. Participants' experiences included confirmation of and obtaining new knowledge, and early implementation of modified lifestyle behaviors. These insights surrounding participants' motivations, expectations and experiences will assist in recruitment strategies, course redevelopment and outcome measures for the future RCT to examine the effectiveness of the MSOC.
Collapse
Affiliation(s)
- Sandra L. Neate
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia,*Correspondence: Sandra L. Neate
| | - William Bevens
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Pia L. Jelinek
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Kathleen M. Gray
- Centre for Digital Transformation of Health, The University of Melbourne, Melbourne, VIC, Australia
| | - T. J. Weiland
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Nupur Nag
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Steve Simpson-Yap
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia,MS Flagship, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - George A. Jelinek
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - M. Yu
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Jeanette C. Reece
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| |
Collapse
|
37
|
Herb J, Périn Y, Yum S, Mylonakis A, Demazière C, Vinai P, Yu M, Wingate J, Hursin M. Sensitivity analysis in core diagnostics. ANN NUCL ENERGY 2022. [DOI: 10.1016/j.anucene.2022.109350] [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: 11/01/2022]
|
38
|
Li Y, Li YJ, Yu M, Zhao D, Ding ZL. [circ-WHSC1 affects the growth, metastasis and radiotherapy sensitivity of nasopharyngeal carcinoma cells by targeting miR-338-3p/ELAVL1 axis]. Zhonghua Zhong Liu Za Zhi 2022; 44:1175-1185. [PMID: 36380666 DOI: 10.3760/cma.j.cn112152-20201120-01005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To study the effect of circ-WHSC1 on the growth, metastasis and radiosensitivity of nasopharyngeal carcinoma cells and its molecular mechanism. Methods: Cancerous tissues and adjacent tissues were collected from 23 patients with nasopharyngeal carcinoma, and real-time fluorescent quantitative PCR (RT-qPCR) was used to detect the expression levels of circ-WHSC1, miR-338-3p, and ELAVL1 mRNA. Western blot was used to detect the expression of ELAVL1 protein. Nasopharyngeal carcinoma cells 5-8F and SUNE1 were divided into si-NC group, si-circ-WHSC1 group, pCD5-ciR group, circ-WHSC1 group, anti-miR-NC group, anti-miR-338-3p group, miR-NC group, miR-338-3p group, si-circ-WHSC1+ anti-miR-NC group, si-circ-WHSC1+ anti-miR-338-3p group, miR-338-3p+ pcDNA group, miR-338-3p+ ELAVL1 group. Tetramethylazolium salt colorimetric method (MTT) was used to detect cell viability. Clone formation test was used to detect cell clone formation and cell radiosensitivity. Flow cytometry was used to detect cell apoptosis. Transwell was used to detect cell migration and invasion. Dual luciferase assay was used to detect the targeting relationship between circ-WHSC1 and miR-338-3p, miR-338-3p and ELAVL1. The SUNE1 cells stably transfected with sh-circ-WHSC1 were injected into nude mice and irradiated with radiation, and then the tumor volume and weight of mice were detected. Results: The expressions of circ-WHSC1 (1.57±0.94 vs 3.78±1.18, 1.00±0.10 vs 1.64±0.14/2.00±0.21/2.81±0.26/3.36±0.34) and ELAVL1 (1.28±0.74 vs 3.36±0.77, 1.00±0.08 vs 2.51±0.19/3.27±0.27) in nasopharyngeal carcinoma tissues and cells were increased, and the expression of miR-338-3p (3.13±0.96 vs 1.37±0.98, 1.00±0.08 vs 0.48±0.08/0.38±0.07) was decreased (P<0.05). After knockdown of circ-WHSC1, the activity of nasopharyngeal carcinoma cells was decreased [(100.00±8.00)% vs (51.33±8.62)%, (100.00±10.10)% vs (41.02±7.31)%], the number of clone-forming cells was decreased (101.00±8.54 vs 50.33±8.02, 114.00±14.10 vs 42.33±10.01), the rate of apoptosis was increased [(5.37±1.20)% vs (18.3±1.01)%, (6.5±1.18)% vs (22.43±1.40)%], and the numbers of migration (136.00±13.00 vs 72.33±9.50, 154.00±14.10 vs 62.67±11.50) and invasion (113.67±11.59 vs 60.67±9.07, 124.33±15.57 vs 50.33±9.01) were decreased; after different doses of radiation, the cell survival score was decreased (0.23±0.04 vs 0.06±0.01, 0.32±0.07 vs 0.05±0.02) (P<0.05). Circ-WHSC1 targeted and negatively regulated miR-338-3p. Inhibition of miR-338-3p affected the effect of knockdown of circ-WHSC1 on the proliferation, apoptosis, migration, invasion and radiosensitivity of nasopharyngeal carcinoma cells. MiR-338-3p targeted and negatively regulated ELAVL1; ELAVL1 overexpression affected the effects of miR-338-3p on the proliferation, apoptosis, migration, invasion and radiosensitivity of nasopharyngeal carcinoma cells. After the cells stably transfected with sh-circ-WHSC1 were injected into nude mice, the tumor volume [(884.67±95.63)mm(3) vs (487.33±76.51)mm(3)] and weight [(899.01±88.54)mg vs (558.67±75.04) mg] of the nude mice were reduced; after further irradiation, the tumor volume [(395.00±73.50)mm(3) vs 243.13±42.51)mm(3)] and weight[ (452.33±67.30)mg vs (211.09±57.51)mg] of the nude mice were reduced (P<0.05). Circ-WHSC1 regulated the expression of ELAVL1 by targeting miR-382. Conclusion: Knockdown of circ-WHSC1 can inhibit the growth and metastasis of nasopharyngeal carcinoma cells by targeting miR-338-3p/ELAVL1 axis, and enhances the radiosensitivity of nasopharyngeal carcinoma cells.
Collapse
Affiliation(s)
- Y Li
- ENT & HN Surgery Department, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou 450000, China
| | - Y J Li
- ENT & HN Surgery Department, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou 450000, China
| | - M Yu
- ENT & HN Surgery Department, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou 450000, China
| | - D Zhao
- ENT & HN Surgery Department, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou 450000, China
| | - Z L Ding
- Radiotherapy Department, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou 450000, China
| |
Collapse
|
39
|
Ranta K, Wojcieszynski A, Kruser T, Jarrard D, Liu Y, Yu M, Ritter M, Floberg J. Ten-Year Follow-Up on 160 Patients Treated with Hypofractionated Prostate Salvage Radiation Therapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
|
40
|
Craig T, Tachdjian R, Bernstein J, Anderson J, Nurse C, Watt M, Juethner S, Yu M. LONG-TERM EFFICACY, SAFETY, AND QUALITY OF LIFE WITH LANADELUMAB TREATMENT IN ADOLESCENTS WITH HEREDITARY ANGIOEDEMA. Ann Allergy Asthma Immunol 2022. [DOI: 10.1016/j.anai.2022.08.585] [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: 11/11/2022]
|
41
|
Lauck S, Bancroft C, Andrews H, Achtem L, Polderman J, Stephenson A, Yu M. IMPLEMENTATION OF AN EARLY MOBILIZATION PROTOCOL TO ACCELERATE RECONDITIONING AFTER TRANSCATHETER AORTIC VALVE IMPLANTATION: IDENTIFICATION OF BARRIERS TO STANDARDIZED NURSING PRACTICE. Can J Cardiol 2022. [DOI: 10.1016/j.cjca.2022.08.213] [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: 11/02/2022] Open
|
42
|
Hu RY, Gong WW, Zhong JM, Pan J, Wang H, Wang M, Fei FR, Yu M. [Construction and application of comprehensive system of chronic diseases surveillance in Zhejiang province]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1485-1490. [PMID: 36117358 DOI: 10.3760/cma.j.cn112338-20220118-00046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
To construct a non-communicable disease system recommended by WHO, develop the key techniques and promote their applications, obtain the main health indicators and understand the prevalence of chronic diseases, and provide support for the prevention, control and research of chronic diseases. Based on factor analysis, K-means clustering and multi-cluster random sampling, 30 typical sampling areas at provincial level were designed and constructed; By referring to WHO's Non-communicable Disease Surveillance Framework and the American behavioral risk factor sampling and questionnaire and combined with China's actual needs, a comprehensive surveillance system for chronic diseases, covering morbidity and mortality, risk factor exposure and community management and control of chronic diseases, was established, a "5+12+1" quality control system for surveillance data collection, management, analysis and feedback was formed and a three-level surveillance information management platform and information technology construction standards in the province were established, resulting the integration of life registration, chronic disease case reporting and community chronic disease management. Using these key techniques, we have obtained high-quality surveillance data of the whole province, produced the main health indicators, carried out research of chronic diseases, and analyze the prevalence and changing trend of the main chronic diseases and related risk factors to boost the government's practical projects for the reform of the people's livelihood and facilitate the construction of "Healthy Zhejiang". The successful experiences and key techniques have been applied in the construction of chronic disease surveillance system in some provinces in China.
Collapse
Affiliation(s)
- R Y Hu
- Department of Chronic and Non-communicable Disease Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - W W Gong
- Department of Chronic and Non-communicable Disease Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - J M Zhong
- Department of Chronic and Non-communicable Disease Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - J Pan
- Department of Chronic and Non-communicable Disease Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Department of Chronic and Non-communicable Disease Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - M Wang
- Department of Science Research & Information Management, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - F R Fei
- General Office, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| |
Collapse
|
43
|
Myrga JM, Wu S, Gul ZG, Yu M, Sharbaugh DR, Mihalo J, Patnaik S, Vasan RV, Miller DT, Pere MP, Yabes JG, Jacobs BL, Davies BJ. Discharge Opioids are Unnecessary Following Radical Cystectomy. Urology 2022; 170:91-95. [PMID: 36055420 DOI: 10.1016/j.urology.2022.08.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 08/16/2022] [Accepted: 08/18/2022] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To show that zero-opioid discharges after both open and robotic cystectomy are feasible and to examine the impact of zero-opioid discharges on patient interaction with the physician's office. MATERIALS AND METHODS 107 patients who underwent either open or robotic radical cystectomy from March 1, 2020 to December 30, 2020 were identified. Patient demographics, perioperative data, and 30 day pain related outcomes including phone calls, office visits, requests for pain medication, emergency department visits, and readmissions were abstracted from the chart. We then examined variables associated with a zero-opioid discharge. RESULTS Thirty-two patients were discharged with an opioid prescription (Median Oral Morphine Equivalents Prescribed = 90) and seventy-five were discharged without an opioid prescription. On regression analysis, age (OR 1.07, 95% CI [1.02-1.12]) and pathology (OR 0.36, 95% CI[0.14-0.9]) remained significantly associated with postoperative opioid prescriptions. There were no differences in the percent of patients presenting to the emergency department, being readmitted, calling the office, calling the office regarding pain, or requesting opioid prescriptions within thirty days of discharge, or the number of post-operative office visits (p> 0.05 for all). CONCLUSIONS Patients can safely be discharged home without opioids following cystectomy, regardless of robotic or open approach. Age and pathology are predictors of the need for an opioid prescription on discharge. These patients did not have increased follow-up visits, phone calls, or requests for pain medication.
Collapse
Affiliation(s)
- J M Myrga
- University of Pittsburgh School of Medicine, Department of Urology, Pittsburgh, PA.
| | - S Wu
- University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Z G Gul
- University of Pittsburgh School of Medicine, Department of Urology, Pittsburgh, PA
| | - M Yu
- University of Pittsburgh School of Medicine, Department of Urology, Pittsburgh, PA
| | - D R Sharbaugh
- University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - J Mihalo
- University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - S Patnaik
- University of Pittsburgh School of Medicine, Department of Urology, Pittsburgh, PA
| | - R V Vasan
- University of Pittsburgh School of Medicine, Department of Urology, Pittsburgh, PA
| | - D T Miller
- University of Pittsburgh School of Medicine, Department of Urology, Pittsburgh, PA
| | - M P Pere
- University of Pittsburgh School of Medicine, Department of Urology, Pittsburgh, PA
| | - J G Yabes
- Division of Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA; Center for Research on Health Care, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - B L Jacobs
- University of Pittsburgh School of Medicine, Department of Urology, Pittsburgh, PA
| | - B J Davies
- University of Pittsburgh School of Medicine, Department of Urology, Pittsburgh, PA
| |
Collapse
|
44
|
Wang H, Chen LL, Guan YQ, Cao Y, Shen D, Xie KX, Zhang XY, Wang CM, Pei P, Guo Y, Yu M, Chen LM, Li L. [Association between self-reported gingival bleeding and prevalent hypertension among adults in a cross-sectional study in Zhejiang province]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1249-1253. [PMID: 35981987 DOI: 10.3760/cma.j.cn112338-20210922-00744] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To explore the association between self-reported gingival bleeding and prevalent hypertension among adults in Zhejiang with a cross-sectional study. Methods: After excluding participants with self-reported, physician-diagnosed heart diseases, stroke, diabetes, cancer, and those who never or rarely brush their teeth at baseline study, 48 625 participants aged 30-79 in the China Kadoorie Biobank (CKB) study from Tongxiang, Zhejiang were included for the final analysis. Three multivariable logistic regression models were used to estimate the odds ratios (ORs) for the associations of self-reported gingival bleeding with prevalent hypertension. Results: The mean age of women was (51.2±9.2) years, and 42.9% of participants had prevalent hypertension. The percentage of self-reported frequent gingival bleeding was 6.56% (95%CI: 6.38%-6.75%), significantly higher among women (8.08%, 95%CI: 7.82%-8.35%) than among men (4.36%, 95%CI: 4.12%-4.60%) (P<0.001). After adjusting for socio-demographic factors, behavioral lifestyle, sleep duration, BMI, waist circumference, snoring, in comparison with men whose gingivae never or rarely bleed while brushing teeth, the odds ratio (95%CI) of hypertension for those with occasional, and frequent gingival bleeding were 1.04 (0.96-1.12) and 1.18 (1.02-1.37), respectively (trend P =0.038). The corresponding figures for women were 0.96 (0.91-1.02) and 0.95 (0.86-1.05), respectively (trend P=0.344). Conclusion: Frequent gingival bleeding was positively associated with prevalent hypertension among men.
Collapse
Affiliation(s)
- H Wang
- Department of Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - L L Chen
- Department of Non-communicable Disease Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang 314500, China
| | - Y Q Guan
- Department of Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Y Cao
- Department of Non-communicable Disease Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang 314500, China
| | - D Shen
- Department of Non-communicable Disease Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang 314500, China
| | - K X Xie
- Department of Non-communicable Disease Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang 314500, China
| | - X Y Zhang
- Department of Non-communicable Disease Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang 314500, China
| | - C M Wang
- Department of Non-communicable Disease Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang 314500, China
| | - P Pei
- China Kadoorie Biobank, Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Y Guo
- National Clinical Center of Cardiovascular Disease, Fuwai Hospital Chinese Academy of Medical Sciences, Beijing 100037, China
| | - M Yu
- Department of Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - L M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Liming Li
- School of Public Health, Peking University Health Science Center, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China
| |
Collapse
|
45
|
Ding J, Yu M, Zhu L, Zhang T, Xia J, Sun G. Corrigendum to <Diverse spectral band-based deep residual network for tongue squamous cell carcinoma classification using fiber optic Raman spectroscopy> <[Photodiagnosis and Photodynamic Therapy, Volume 32, December 2020, 102048]>. Photodiagnosis Photodyn Ther 2022; 39:102981. [DOI: 10.1016/j.pdpdt.2022.102981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
|
46
|
Xi YE, Gao WJ, Hong XM, Lyu J, Yu CQ, Wang SF, Huang T, Sun DJY, Liao CX, Pang YJ, Pang ZC, Yu M, Wang H, Wu XP, Dong Z, Wu F, Jiang GH, Wang XJ, Liu Y, Deng J, Lu L, Cao WH, Li L. [Heritability and genetic correlation of body mass index and coronary heart disease in Chinese adult twins]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:940-946. [PMID: 35899346 DOI: 10.3760/cma.j.cn112150-20210707-00651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To examine the heritability of body mass index (BMI) and coronary heart disease (CHD), and to explore whether genetic factors can explain their correlation. Methods: Participants were from 11 provinces/municipalities reqistered in the Chinese National Twin Registry (CNTR) from 2010 to 2018. Participants data were collected from face-to-face questionnaire survey. Bivariate structure equation model was used to estimate the heritability and the genetic correlation of BMI and CHD. Results: A total of 20 340 pairs of same-sex twins aged ≥25 years were included in this study. After adjusting for age and gender, the heritability of BMI and CHD was 0.52 (95%CI: 0.49-0.55) and 0.76 (95%CI: 0.69-0.81), respectively. Further, a genetic correlation was identified between BMI and CHD (rA=0.10, 95%CI:0.02-0.17). Conclusion: In Chinese adult twin population, BMI and CHD are affected by genetic factors, and their correlation can be attributed to the common genetic basis.
Collapse
Affiliation(s)
- Y E Xi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - X M Hong
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S F Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C X Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y J Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z C Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - H Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X P Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Z Dong
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - F Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - G H Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - X J Wang
- Qinghai Center for Disease Prevention and Control, Xining 810007, China
| | - Y Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China
| | - J Deng
- Handan Center for Disease Control and Prevention, Handan 056001, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650034, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| |
Collapse
|
47
|
Sahota P, Yu M, Polderman J, Achtem L, Stephenson A, Morgan K, Lauck S. Validation of the virtual measurement of the Essential Frailty Toolset. Eur J Cardiovasc Nurs 2022. [PMCID: PMC9384357 DOI: 10.1093/eurjcn/zvac060.113] [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] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Funding Acknowledgements Type of funding sources: None. Background The Essential Frailty Toolset (EFT) is a valid measurement of frailty in people with heart valve disease. COVID-19 has prompted the transition to virtual health consultations and necessitates the validation of the virtual assessment of frailty. Methods We conducted a prospective observational cohort study to compare the measurement of EFT in person and virtual format within a maximum 2-week window of repeated measurement. The weighted Kappa tests was used to measure the agreement of EFT scores between assessments; we explored the effect of the sequence of measurement using the Cochran-Mantel-Haenszel statistic to test the general association between the timing of measurement and differences of EFT score. Results We recruited a sample of 49 patients, with a mean age of 81 ± 7 years, including 29 men (59.2%); the primary valvular heart diseases were aortic stenosis (n=40, 81.6%), mitral regurgitation (n=2, 4.1%) and tricuspid regurgitation (n=7, 14.3%). The virtual measurement of frailty was conducted using a standardised protocol. The platform for virtual connection selected by patients was FaceTime (n=20, 40.8%) and Zoom (n=29, 59.2%); the median (IQR) number of days between the in-person and the virtual assessment was 5 (3,10). The weighted Kappa estimate was 0.69 (95% CI 0.55, 0.82), illustrating a strong agreement between the separate scores obtained. The test for the general association was non-significant (p=0.82), indicating a lack of evidence for detecting an association between EFT scores and chronological order of assessment. Conclusion The EFT can be reliably measured virtual in older patients with valvular heart disease to inform clinical care.
Collapse
Affiliation(s)
- P Sahota
- St Paul's Hospital , Vancouver , Canada
| | - M Yu
- St Paul's Hospital , Vancouver , Canada
| | | | - L Achtem
- St Paul's Hospital , Vancouver , Canada
| | | | - K Morgan
- St Paul's Hospital , Vancouver , Canada
| | - S Lauck
- St Paul's Hospital , Vancouver , Canada
| |
Collapse
|
48
|
Lauck S, Bancroft C, Yu M, Polderman J, Andrews H, Stephenson A. Implementation of nurse-led early mobilisation after transcatheter aortic valve implantation: Identification of barriers to standardised practice. Eur J Cardiovasc Nurs 2022. [DOI: 10.1093/eurjcn/zvac060.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background
We examined the barriers of early nurse-led mobilisation after transcatheter aortic valve implantation (TAVI) to support safe next-day discharge home.
Methods
We conducted a prospective observational cohort study of patients treated in 2019-2021 using a standardised post-procedure nursing care standard to promote mobilisation in 4 to 6 hours after TAVI. Results are presented as mean (standard deviation) for continuous variables and as number (percentage) for categorical data; student t test was used to compare continuous variables and χ2 and Fisher exact tests were used to compare categorical variables. All analyses were performed in SAS version 9.4 (SAS Institute).
Results
The cohort included a convenience sample of 139 patients (64 women, 46%) mean age 82.5±6.7 years, NYHA III/IV 72 (51.8%), prior pacemaker 18 (13%), and prior SAVR 11 (7.9%). Patients were treated under local anaesthesia only (n=29, 20.9%) or conscious sedation (n=106, 76.3%) with a balloon expandable device (n=134, 96.4%) in a cardiac catheterisation laboratory (n=111, 79.9%) or hybrid operating room (n=28, 25.2%), and early recovery in cardiac telemetry (n=101, 72.7%) or critical care unit (n=38, 27.3%). Early mobilisation was achieved in 113 patients (81.3%: 4 hours: n=100, 71.9%, 4-6 hours: n=13, 9.4%); there were no significant (p≤0.05) differences in baseline characteristics between patients with early vs. late mobilisation; the primary reasons for delayed mobilisation included monitoring and/or managing cardiac conduction issues (n=6), vascular access hemostasis (n=6) and neurological status (n=4), patient preference or other self-reported issue (n=5) and nursing workload (n=5). In patients who achieved early mobilisation, 81.4% were discharge on post-operative day 1 and 86.3% by day 2, with 99.1% returning directly home. There was no significant difference in 30-day readmission between the two groups.
Conclusions
Early nurse-led protocol-driven mobilisation is safe and effective to facilitate rapid reconditioning and safe transition home after uncomplicated TAVI. Research is needed to better understand patient and systems-level enablers to improve standardisation of practice.
Collapse
Affiliation(s)
- S Lauck
- St Paul's Hospital , Vancouver , Canada
| | | | - M Yu
- St Paul's Hospital , Vancouver , Canada
| | | | - H Andrews
- St Paul's Hospital , Vancouver , Canada
| | | |
Collapse
|
49
|
Zou Y, Hu J, Yu M, Miao J, Xie Z, Qiu Y, Cao X, Yang C. High-Performance Narrowband Pure-Red OLEDs with External Quantum Efficiencies up to 36.1% and Ultralow Efficiency Roll-Off. Adv Mater 2022; 34:e2201442. [PMID: 35588162 DOI: 10.1002/adma.202201442] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 04/28/2022] [Indexed: 06/15/2023]
Abstract
High-color-purity blue and green organic light-emitting diodes (OLEDs) have been resolved thanks to the development of B/N-based polycyclic multiple resonance (MR) emitters. However, due to the derivatization limit of B/N polycyclic structures, the design of red MR emitters remains challenging. Herein, a series of novel red MR emitters is reported by para-positioning N-π-N, O-π-O, B-π-B pairs onto a benzene ring to construct an MR central core. These emitters can be facilely and modularly synthesized, allowing for easy fine-tuning of emission spectra by peripheral groups. Moreover, these red MR emitters display excellent photophysical properties such as near-unity photoluminescence quantum yield (PLQY), fast radiative decay rate (kr ) up to 7.4 × 107 s-1 , and most importantly, narrowband emission with full-width at half-maximum (FWHM) of 32 nm. Incorporating these MR emitters, pure red OLEDs sensitized by phosphor realize state-of-the-art device performances with external quantum efficiency (EQE) exceeding 36%, ultralow efficiency roll-off (EQE remains as high as 25.1% at the brightness of 50 000 cd m-2 ), ultrahigh brightness over 130 000 cd m-2 , together with good device lifetime.
Collapse
Affiliation(s)
- Yang Zou
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Jiahao Hu
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Mingxin Yu
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Jingsheng Miao
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Ziyang Xie
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Yuntao Qiu
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Xiaosong Cao
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Chuluo Yang
- Shenzhen Key Laboratory of New Information Display and Storage Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| |
Collapse
|
50
|
Li ZM, Gao AQ, Li CG, Yu M, Gao CQ. [Preventive efficacy of two-stitch fixation method on stoma prolapse after sigmoid colon single-chamber ostomy]. Zhonghua Wei Chang Wai Ke Za Zhi 2022; 25:542-545. [PMID: 35754220 DOI: 10.3760/cma.j.cn441530-20210904-00360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
|