1
|
Shi R, Liu Z, Yue H, Li M, Liu S, De D, Li R, Chen Y, Cheng S, Gu X, Jia M, Li J, Li J, Zhang S, Feng N, Fan R, Fu F, Liu Y, Ding M, Pei J. IP 3R1-mediated MAMs formation contributes to mechanical trauma-induced hepatic injury and the protective effect of melatonin. Cell Mol Biol Lett 2024; 29:22. [PMID: 38308199 PMCID: PMC10836028 DOI: 10.1186/s11658-023-00509-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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 11/02/2023] [Indexed: 02/04/2024] Open
Abstract
INTRODUCTION There is a high morbidity and mortality rate in mechanical trauma (MT)-induced hepatic injury. Currently, the molecular mechanisms underlying liver MT are largely unclear. Exploring the underlying mechanisms and developing safe and effective medicines to alleviate MT-induced hepatic injury is an urgent requirement. The aim of this study was to reveal the role of mitochondria-associated ER membranes (MAMs) in post-traumatic liver injury, and ascertain whether melatonin protects against MT-induced hepatic injury by regulating MAMs. METHODS Hepatic mechanical injury was established in Sprague-Dawley rats and primary hepatocytes. A variety of experimental methods were employed to assess the effects of melatonin on hepatic injury, apoptosis, MAMs formation, mitochondrial function and signaling pathways. RESULTS Significant increase of IP3R1 expression and MAMs formation were observed in MT-induced hepatic injury. Melatonin treatment at the dose of 30 mg/kg inhibited IP3R1-mediated MAMs and attenuated MT-induced liver injury in vivo. In vitro, primary hepatocytes cultured in 20% trauma serum (TS) for 12 h showed upregulated IP3R1 expression, increased MAMs formation and cell injury, which were suppressed by melatonin (100 μmol/L) treatment. Consequently, melatonin suppressed mitochondrial calcium overload, increased mitochondrial membrane potential and improved mitochondrial function under traumatic condition. Melatonin's inhibitory effects on MAMs formation and mitochondrial calcium overload were blunted when IP3R1 was overexpressed. Mechanistically, melatonin bound to its receptor (MR) and increased the expression of phosphorylated ERK1/2, which interacted with FoxO1 and inhibited the activation of FoxO1 that bound to the IP3R1 promoter to inhibit MAMs formation. CONCLUSION Melatonin prevents the formation of MAMs via the MR-ERK1/2-FoxO1-IP3R1 pathway, thereby alleviating the development of MT-induced liver injury. Melatonin-modulated MAMs may be a promising therapeutic therapy for traumatic hepatic injury.
Collapse
Affiliation(s)
- Rui Shi
- Department of Geriatrics Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
- Key Laboratory of Surgical Critical Care and Life Support, Xi'an Jiaotong University, Ministry of Education, Xi'an, China
| | - Zhenhua Liu
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Huan Yue
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
- School of Life Science, Northwest University, Xi'an, China
| | - Man Li
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
- School of Life Science, Northwest University, Xi'an, China
| | - Simin Liu
- Department of Geriatrics Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Dema De
- Department of Geriatrics Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Surgical Critical Care and Life Support, Xi'an Jiaotong University, Ministry of Education, Xi'an, China
| | - Runjing Li
- Department of Geriatrics Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Surgical Critical Care and Life Support, Xi'an Jiaotong University, Ministry of Education, Xi'an, China
| | - Yunan Chen
- Department of Geriatrics Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Surgical Critical Care and Life Support, Xi'an Jiaotong University, Ministry of Education, Xi'an, China
| | - Shuli Cheng
- The Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, Laboratory Center of Stomatology, Department of Orthodontics, College of Stomatology, Xi'an Jiaotong University, Xi'an, China
| | - Xiaoming Gu
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Min Jia
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Jun Li
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Juan Li
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Shumiao Zhang
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Na Feng
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Rong Fan
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Feng Fu
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China
| | - Yali Liu
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China.
| | - Mingge Ding
- Department of Geriatrics Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
- The Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, Laboratory Center of Stomatology, Department of Orthodontics, College of Stomatology, Xi'an Jiaotong University, Xi'an, China.
| | - Jianming Pei
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, China.
| |
Collapse
|
2
|
Ray JC, Dalic L, Baker J, Cheng S, Hutton EJ, Matharu M. Twelve-month efficacy of CGRP monoclonal antibodies and predictive value of short-term response: results of an Australian multicentre study. BMJ Neurol Open 2024; 6:e000547. [PMID: 38268750 PMCID: PMC10806998 DOI: 10.1136/bmjno-2023-000547] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 12/04/2023] [Indexed: 01/26/2024] Open
Abstract
Introduction Clinical trials show that calcitonin gene-related peptide monoclonal antibodies (CGRP mAbs) are effective preventative treatments for chronic migraine. Their efficacy over longer time periods and in cohorts originally excluded from trials remains uncertain. This study aims to explore the impact of CGRP mAbs in an Australian real-life setting. Methods A multicentre cohort study was performed in the tertiary headache clinics of the Alfred and Austin Hospitals, Melbourne, Australia. Patients were commenced on a CGRP mAb for chronic migraine and asked to keep a headache diary, recorded at 3 monthly appointments for 12 months. Primary outcome was a ≥50% reduction in monthly headache days (MHD). Results From a population of 105 patients, 90 patients commenced galcanezumab and 15 commenced fremanezumab. The ≥50% responder rate of the cohort was 52.4% after 3 months. Over 12 months follow-up, 25.7% of the cohort ceased due to a lack of efficacy and 16.2% ceased due to an adverse event. There was no difference in response or cessation between medications. There was poor agreement in 3-month and 12-month response rates (Cohen's κ=0.130; p=0.171). On subgroup analysis, continuous headache at baseline and number of trialled preventative treatments were the only factors associated with efficacy. Conclusion CGRP mAbs were associated with sustained reductions in MHD over 12-month follow-up in patients with resistant migraine in Australia. Further studies are required to determine treatment options for patients with continuous headache. Poor agreement between outcomes at 3 and 12 months highlights the need to assess some patients at later timepoints.
Collapse
Affiliation(s)
- Jason Charles Ray
- Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
- Department of Neuroscience, Monash University, Melbourne, Victoria, Australia
| | - Linda Dalic
- Department of Neurology, Austin Health, Melbourne, Victoria, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
| | - Josephine Baker
- Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
| | - Shuli Cheng
- Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
| | - Elspeth Jane Hutton
- Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
- Department of Neuroscience, Monash University, Melbourne, Victoria, Australia
| | - Manjit Matharu
- University College London Queen Square Institute of Neurology, London, UK
- National Hospital for Neurology and Neurosurgery, London, UK
| |
Collapse
|
3
|
He ZK, Wang Z, Kao QJ, Cheng S, Feng S, Zhao TT, Tao YY, Yu XF, Sun Z. [Epidemiological characteristics of a local cluster epidemic caused by the BA.2 evolutionary branch of Omicron variant]. Zhonghua Yu Fang Yi Xue Za Zhi 2024; 58:65-70. [PMID: 38228551 DOI: 10.3760/cma.j.cn112150-20230828-00131] [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: 01/18/2024]
Abstract
Descriptive epidemiological methods were used to analyze the epidemiological characteristics of the local cluster of COVID-19 in the logistic park of Yuhang District in Hangzhou in March 2022. The cluster epidemic was detected by a case who actively visited the fever clinic. The epidemic lasted for 8 days, and a total of 58 cases (53 workers, 2 students, 1 farmer, 1 teacher and 1 unemployed) were found, including 40 males and 18 females. The age was (33.29±12.22) years. There cases were mainly in Yuhang District (48 cases, 82.77%) and Shangcheng District (7 cases, 12.07%) of Hangzhou. The real-time regeneration number peaked at 2.31 on March 10th and decreased to 0.37 on March 15th. The sequencing result of the indicated case was 100% homologous with the sequence uploaded from South Korea on March 4th, 2022.
Collapse
Affiliation(s)
- Z K He
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - Z Wang
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - Q J Kao
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - S Cheng
- Microbiological Laboratory, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - S Feng
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - T T Zhao
- Institute of Health Relative Factors Monitoring, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - Y Y Tao
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - X F Yu
- Microbiological Laboratory, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - Z Sun
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| |
Collapse
|
4
|
Zhang R, Wang L, Cheng S, Song S. MLP-based classification of COVID-19 and skin diseases. Expert Syst Appl 2023; 228:120389. [PMID: 37193247 PMCID: PMC10170962 DOI: 10.1016/j.eswa.2023.120389] [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] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 05/03/2023] [Accepted: 05/04/2023] [Indexed: 05/18/2023]
Abstract
Recent years have witnessed a growing interest in neural network-based medical image classification methods, which have demonstrated remarkable performance in this field. Typically, convolutional neural network (CNN) architectures have been commonly employed to extract local features. However, the transformer, a newly emerged architecture, has gained popularity due to its ability to explore the relevance of remote elements in an image through a self-attention mechanism. Despite this, it is crucial to establish not only local connectivity but also remote relationships between lesion features and capture the overall image structure to improve image classification accuracy. Therefore, to tackle the aforementioned issues, this paper proposes a network based on multilayer perceptrons (MLPs) that can learn the local features of medical images on the one hand and capture the overall feature information in both spatial and channel dimensions on the other hand, thus utilizing image features effectively. This paper has been extensively validated on COVID19-CT dataset and ISIC 2018 dataset, and the results show that the method in this paper is more competitive and has higher performance in medical image classification compared with existing methods. This shows that the use of MLP to capture image features and establish connections between lesions is expected to provide novel ideas for medical image classification tasks in the future.
Collapse
Affiliation(s)
- Ruize Zhang
- College of Information Science and Engineering, Xinjiang University, Urumqi, 830046, Xinjiang, China
| | - Liejun Wang
- College of Information Science and Engineering, Xinjiang University, Urumqi, 830046, Xinjiang, China
| | - Shuli Cheng
- College of Information Science and Engineering, Xinjiang University, Urumqi, 830046, Xinjiang, China
| | - Shiji Song
- Department of Automation, Tsinghua University, Beijing, 100084, China
| |
Collapse
|
5
|
Yuan YX, Shi Q, He Y, Qiu HL, Yi HM, Dong L, Wang L, Cheng S, Xu PP, Zhao WL. [Clinical characteristics and efficacy analysis of 11 patients with primary cutaneous diffuse large B-cell lymphoma, leg type]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:690-693. [PMID: 37803847 PMCID: PMC10520235 DOI: 10.3760/cma.j.issn.0253-2727.2023.08.015] [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: 10/11/2022] [Indexed: 10/08/2023]
Affiliation(s)
- Y X Yuan
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China Department of Hematology and Rheumatology, Longyan First Hospital Affiliated to Fujian Medicine University, Longyan 364000, China
| | - Q Shi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Y He
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - H L Qiu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - H M Yi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - L Dong
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - L Wang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - S Cheng
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - P P Xu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - W L Zhao
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| |
Collapse
|
6
|
Liu CY, Cheng S, Pang YJ, Yu CQ, Sun DJY, Pei P, Chen JS, Chen ZM, Lyu J, Li LM. [Tea consumption and cancer: a Mendelian randomization study]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1027-1036. [PMID: 37482703 DOI: 10.3760/cma.j.cn112338-20230217-00086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objective: A Mendelian randomization (MR) analysis was performed to assess the relationship between tea consumption and cancer. Methods: There were 100 639 participants with the information of gene sequencing of whole genome in the China Kadoorie Biobank. After excluding those with cancer at baseline survey, a total of 100 218 participants were included in this study. The baseline information about tea consumption were analyzed, including daily tea consumption or not, cups of daily tea consumption, and grams of daily tea consumption. We used the two-stage least square method to evaluate the associations between three tea consumption variables and incidence of cancer and some subtypes, including stomach cancer, liver and intrahepatic bile ducts cancer, colorectal cancer, tracheobronchial and lung cancer, and female breast cancer. Multivariable MR and analysis only among nondrinkers were used to control the impact of alcohol consumption. Sensitivity analyses were also performed, including inverse variance weighting, weighted median, and MR-Egger. Results: We used 54, 42, and 28 SNPs to construct non-weighted genetic risk scores as instrumental variables for daily tea consumption or not, cups of daily tea consumption, and grams of daily tea consumption, respectively. During an average of (11.4±3.0) years of follow-up, 6 886 cases of cancer were recorded. After adjusting for age, age2, sex, region, array type, and the first 12 genetic principal components, there were no significant associations of three tea consumption variables with the incidence of cancer and cancer subtypes. Compared with non-daily tea drinkers, the HR (95%CI) of daily tea drinkers for cancer and some subtypes, including stomach cancer, liver and intrahepatic bile ducts cancer, colorectal cancer, tracheobronchial and lung cancer, and female breast cancer, are respectively 0.99 (0.78-1.26), 1.17 (0.58-2.36), 0.86 (0.40-1.84), 0.85 (0.42-1.73), 1.39 (0.85-2.26) and 0.63 (0.28-1.38). After controlling the impact of alcohol consumption and performing multiple sensitivity analyses, the results were similar. Conclusion: There is no causal relationship between tea consumption and risk of cancer in population in China.
Collapse
Affiliation(s)
- C Y Liu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S Cheng
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y J Pang
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/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
| | - D J Y Sun
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/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
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J Lyu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/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
| | - L M Li
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/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
| |
Collapse
|
7
|
Wang Y, Shi ZY, Shi Q, Wang S, Zhang MC, Shen R, He Y, Qiu HL, Yi HM, Dong L, Wang L, Cheng S, Xu PP, Zhao WL. [Clinicopathologic characteristics and prognostic analysis of testicular diffuse large B-cell lymphoma]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:321-327. [PMID: 37357002 DOI: 10.3760/cma.j.issn.0253-2727.2023.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
Objective: To analyze the clinicopathologic characteristics and prognosis of testicular diffuse large B-cell lymphoma (DLBCL) . Methods: A retrospective analysis was performed on 68 patients with testicular DLBCL admitted to Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine from October 2001 to April 2020. The gene mutation profile was evaluated by targeted sequencing (55 lymphoma-related genes) , and prognostic factors were analyzed. Results: A total of 68 patients were included, of whom 45 (66.2% ) had primary testicular DLBCL and 23 (33.8% ) had secondary testicular DLBCL. The proportion of secondary testicular DLBCL patients with Ann Arbor stage Ⅲ-Ⅳ (P<0.001) , elevated LDH (P<0.001) , ECOG score ≥ 2 points (P=0.005) , and IPI score 3-5 points (P<0.001) is higher than that of primary testicular DLBCL patients. Sixty-two (91% ) patients received rituximab in combination with cyclophosphamide, adriamycin, vincristine, and prednisone (R-CHOP) -based first-line regimen, whereas 54 cases (79% ) underwent orchiectomy prior to chemotherapy. Patients with secondary testicular DLBCL had a lower estimated 5-year progression-free survival (PFS) rate (16.5% vs 68.1% , P<0.001) and 5-year overall survival (OS) rate (63.4% vs 74.9% , P=0.008) than those with primary testicular DLBCL, and their complete remission rate (57% vs 91% , P=0.003) was also lower than that of primary testicular DLBCL. The ECOG scores of ≥2 (PFS: P=0.018; OS: P<0.001) , Ann Arbor stages Ⅲ-Ⅳ (PFS: P<0.001; OS: P=0.018) , increased LDH levels (PFS: P=0.015; OS: P=0.006) , and multiple extra-nodal involvements (PFS: P<0.001; OS: P=0.013) were poor prognostic factors in testicular DLBCL. Targeted sequencing data in 20 patients with testicular DLBCL showed that the mutation frequencies of ≥20% were PIM1 (12 cases, 60% ) , MYD88 (11 cases, 55% ) , CD79B (9 cases, 45% ) , CREBBP (5 cases, 25% ) , KMT2D (5 cases, 25% ) , ATM (4 cases, 20% ) , and BTG2 (4 cases, 20% ) . The frequency of mutations in KMT2D in patients with secondary testicular DLBCL was higher than that in patients with primary testicular DLBCL (66.7% vs 7.1% , P=0.014) and was associated with a lower 5-year PFS rate in patients with testicular DLBCL (P=0.019) . Conclusion: Patients with secondary testicular DLBCL had worse PFS and OS than those with primary testicular DLBCL. The ECOG scores of ≥2, Ann Arbor stages Ⅲ-Ⅳ, increased LDH levels, and multiple extra-nodal involvements were poor prognostic factors in testicular DLBCL. PIM1, MYD88, CD79B, CREBBP, KMT2D, ATM, and BTG2 were commonly mutated genes in testicular DLBCL, and the prognosis of patients with KMT2D mutations was poor.
Collapse
Affiliation(s)
- Y Wang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Z Y Shi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Q Shi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - S Wang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - M C Zhang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - R Shen
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Y He
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - H L Qiu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - H M Yi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - L Dong
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - L Wang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - S Cheng
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - P P Xu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - W L Zhao
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| |
Collapse
|
8
|
Allega A, Anderson MR, Andringa S, Antunes J, Askins M, Auty DJ, Bacon A, Barros N, Barão F, Bayes R, Beier EW, Bezerra TS, Bialek A, Biller SD, Blucher E, Caden E, Callaghan EJ, Cheng S, Chen M, Cleveland B, Cookman D, Corning J, Cox MA, Dehghani R, Deloye J, Deluce C, Depatie MM, Dittmer J, Dixon KH, Di Lodovico F, Falk E, Fatemighomi N, Ford R, Frankiewicz K, Gaur A, González-Reina OI, Gooding D, Grant C, Grove J, Hallin AL, Hallman D, Heintzelman WJ, Helmer RL, Hu J, Hunt-Stokes R, Hussain SMA, Inácio AS, Jillings CJ, Kaluzienski S, Kaptanoglu T, Khaghani P, Khan H, Klein JR, Kormos LL, Krar B, Kraus C, Krauss CB, Kroupová T, Lam I, Land BJ, Lawson I, Lebanowski L, Lee J, Lefebvre C, Lidgard J, Lin YH, Lozza V, Luo M, Maio A, Manecki S, Maneira J, Martin RD, McCauley N, McDonald AB, Mills C, Morton-Blake I, Naugle S, Nolan LJ, O'Keeffe HM, Orebi Gann GD, Page J, Parker W, Paton J, Peeters SJM, Pickard L, Ravi P, Reichold A, Riccetto S, Richardson R, Rigan M, Rose J, Rosero R, Rumleskie J, Semenec I, Skensved P, Smiley M, Svoboda R, Tam B, Tseng J, Turner E, Valder S, Virtue CJ, Vázquez-Jáuregui E, Wang J, Ward M, Wilson JR, Wilson JD, Wright A, Yanez JP, Yang S, Yeh M, Yu S, Zhang Y, Zuber K, Zummo A. Evidence of Antineutrinos from Distant Reactors Using Pure Water at SNO. Phys Rev Lett 2023; 130:091801. [PMID: 36930908 DOI: 10.1103/physrevlett.130.091801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/14/2022] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
The SNO+ Collaboration reports the first evidence of reactor antineutrinos in a Cherenkov detector. The nearest nuclear reactors are located 240 km away in Ontario, Canada. This analysis uses events with energies lower than in any previous analysis with a large water Cherenkov detector. Two analytical methods are used to distinguish reactor antineutrinos from background events in 190 days of data and yield consistent evidence for antineutrinos with a combined significance of 3.5σ.
Collapse
Affiliation(s)
- A Allega
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - M R Anderson
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - S Andringa
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
| | - J Antunes
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Instituto Superior Técnico (IST), Departamento de Física, Avenida Rovisco Pais, 1049-001, Lisboa, Portugal
| | - M Askins
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - D J Auty
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - A Bacon
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - N Barros
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - F Barão
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Instituto Superior Técnico (IST), Departamento de Física, Avenida Rovisco Pais, 1049-001, Lisboa, Portugal
| | - R Bayes
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - E W Beier
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - T S Bezerra
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - A Bialek
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - S D Biller
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - E Blucher
- The Enrico Fermi Institute and Department of Physics, The University of Chicago, Chicago, Illinois 60637, USA
| | - E Caden
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - E J Callaghan
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - S Cheng
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - M Chen
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - B Cleveland
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - D Cookman
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - J Corning
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - M A Cox
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Department of Physics, University of Liverpool, Liverpool L69 3BX, United Kingdom
| | - R Dehghani
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J Deloye
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - C Deluce
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - M M Depatie
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - J Dittmer
- Technische Universität Dresden, Institut für Kern und Teilchenphysik, Zellescher Weg 19, Dresden 01069, Germany
| | - K H Dixon
- Department of Physics, King's College London, Strand Building, Strand, London WC2R 2LS, United Kingdom
| | - F Di Lodovico
- Department of Physics, King's College London, Strand Building, Strand, London WC2R 2LS, United Kingdom
| | - E Falk
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - N Fatemighomi
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - R Ford
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - K Frankiewicz
- Department of Physics, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, USA
| | - A Gaur
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - O I González-Reina
- Universidad Nacional Autónoma de México (UNAM), Instituto de Física, Apartado Postal 20-364, México D.F. 01000, México
| | - D Gooding
- Department of Physics, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, USA
| | - C Grant
- Department of Physics, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, USA
| | - J Grove
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - A L Hallin
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - D Hallman
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - W J Heintzelman
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - R L Helmer
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada
| | - J Hu
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - R Hunt-Stokes
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S M A Hussain
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - A S Inácio
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - C J Jillings
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - S Kaluzienski
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - T Kaptanoglu
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - P Khaghani
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - H Khan
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - J R Klein
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - L L Kormos
- Physics Department, Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - B Krar
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - C Kraus
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - C B Krauss
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - T Kroupová
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - I Lam
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - B J Land
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - I Lawson
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - L Lebanowski
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - J Lee
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - C Lefebvre
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J Lidgard
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - Y H Lin
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - V Lozza
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - M Luo
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - A Maio
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - S Manecki
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - J Maneira
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - R D Martin
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - N McCauley
- Department of Physics, University of Liverpool, Liverpool L69 3BX, United Kingdom
| | - A B McDonald
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - C Mills
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - I Morton-Blake
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S Naugle
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - L J Nolan
- School of Physics and Astronomy, Queen Mary University of London, 327 Mile End Road, London E1 4NS, United Kingdom
| | - H M O'Keeffe
- Physics Department, Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - G D Orebi Gann
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - J Page
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - W Parker
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - J Paton
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S J M Peeters
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - L Pickard
- University of California, Davis, 1 Shields Avenue, Davis, California 95616, USA
| | - P Ravi
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - A Reichold
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S Riccetto
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - R Richardson
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - M Rigan
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - J Rose
- Department of Physics, University of Liverpool, Liverpool L69 3BX, United Kingdom
| | - R Rosero
- Chemistry Department, Brookhaven National Laboratory, Building 555, P.O. Box 5000, Upton, New York 11973-500, USA
| | - J Rumleskie
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - I Semenec
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - P Skensved
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - M Smiley
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - R Svoboda
- University of California, Davis, 1 Shields Avenue, Davis, California 95616, USA
| | - B Tam
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J Tseng
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - E Turner
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S Valder
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - C J Virtue
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - E Vázquez-Jáuregui
- Universidad Nacional Autónoma de México (UNAM), Instituto de Física, Apartado Postal 20-364, México D.F. 01000, México
| | - J Wang
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - M Ward
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J R Wilson
- Department of Physics, King's College London, Strand Building, Strand, London WC2R 2LS, United Kingdom
| | - J D Wilson
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - A Wright
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J P Yanez
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - S Yang
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - M Yeh
- Chemistry Department, Brookhaven National Laboratory, Building 555, P.O. Box 5000, Upton, New York 11973-500, USA
| | - S Yu
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - Y Zhang
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
- Research Center for Particle Science and Technology, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, Shandong, China
- Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education, Shandong University, Qingdao 266237, Shandong, China
| | - K Zuber
- Technische Universität Dresden, Institut für Kern und Teilchenphysik, Zellescher Weg 19, Dresden 01069, Germany
- MTA Atomki, 4001 Debrecen, Hungary
| | - A Zummo
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| |
Collapse
|
9
|
Lin QZ, Liu HZ, Zhou WP, Cheng ZJ, Lou JY, Zheng SG, Bi XY, Wang JM, Guo W, Li FY, Wang J, Zheng YM, Li JD, Cheng S, Zeng YY. [Effect of postoperative adjuvant chemotherapy on prognosis of patients with intrahepatic cholangiocarcinoma:a multicenter retrospective study]. Zhonghua Wai Ke Za Zhi 2023; 61:305-312. [PMID: 36822587 DOI: 10.3760/cma.j.cn112139-20230106-00010] [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: 02/25/2023]
Abstract
Objectives: To examine the influence of adjuvant chemotherapy after radical resection on the survival of patients with intrahepatic cholangiocarcinoma(ICC) and to identify patients who may benefit from it. Methods: The clinical and pathological data of 654 patients with ICC diagnosed by postoperative pathology from December 2011 to December 2017 at 13 hospitals in China were collected retrospectively. According to the inclusion and exclusion criteria,455 patients were included in this study,including 69 patients (15.2%) who received adjuvant chemotherapy and 386 patients (84.8%) who did not receive adjuvant chemotherapy. There were 278 males and 177 females,with age of 59 (16) years (M(IQR))(range:23 to 88 years). Propensity score matching (PSM) method was used to balance the difference between adjuvant chemotherapy group and non-adjuvant chemotherapy group. Kaplan-Meier method was used to plot the survival curve,the Log-rank test was used to compare the difference of overall survival(OS) and recurrence free survival(RFS)between the two groups. Univariate analysis was used to determine prognostic factors for OS. Multivariate Cox proportional hazards models were then performed for prognostic factors with P<0.10 to identify potential independent risk factors. The study population were stratified by included study variables and the AJCC staging system,and a subgroup analysis was performed using the Kaplan-Meier method to explore the potential benefit subgroup population of adjuvant chemotherapy. Results: After 1∶1 PSM matching,69 patients were obtained in each group. There was no significant difference in baseline data between the two groups (all P>0.05). After PSM,Cox multivariate analysis showed that lymph node metastasis (HR=3.06,95%CI:1.52 to 6.16,P=0.039),width of resection margin (HR=0.56,95%CI:0.32 to 0.99,P=0.044) and adjuvant chemotherapy (HR=0.51,95%CI:0.29 to 0.91,P=0.022) were independent prognostic factors for OS. Kaplan-Meier analysis showed that the median OS time of adjuvant chemotherapy group was significantly longer than that of non-adjuvant chemotherapy group (P<0.05). There was no significant difference in RFS time between the adjuvant chemotherapy group and the non-adjuvant chemotherapy group (P>0.05). Subgroup analysis showed that,the OS of female patients,without HBV infection,carcinoembryonic antigen<9.6 μg/L,CA19-9≥200 U/ml,intraoperative bleeding<400 ml,tumor diameter>5 cm,microvascular invasion negative,without lymph node metastasis,and AJCC stage Ⅲ patients could benefit from adjuvant chemotherapy (all P<0.05). Conclusion: Adjuvant chemotherapy can prolong the OS of patients with ICC after radical resection,and patients with tumor diameter>5 cm,without lymph node metastasis,AJCC stage Ⅲ,and microvascular invasion negative are more likely to benefit from adjuvant chemotherapy.
Collapse
Affiliation(s)
- Q Z Lin
- Department of Hepatobiliary Surgery,Mengchao Hepatobiliary Hospital of Fujian Medical University,Fuzhou 350002,China
| | - H Z Liu
- Department of Hepatobiliary Surgery,Mengchao Hepatobiliary Hospital of Fujian Medical University,Fuzhou 350002,China
| | - W P Zhou
- Department of Hepatobiliary Surgery Ⅲ, the Third Affiliated Hospital of Naval Medical University,Shanghai 200438,China
| | - Z J Cheng
- Department of Hepatobiliary and Pancreatic Surgery,Zhongda Hospital, Southeast University,Nanjing 210009,China
| | - J Y Lou
- Department of Hepatobiliary Surgery,the Second Affiliated Hospital,Zhejiang University School of Medicine,Hangzhou 310009,China
| | - S G Zheng
- Department of Hepatobiliary Surgery,the Southwest Hospital of Army Medical University,Chongqing 400038,China
| | - X Y Bi
- Department of Hepatobiliary Surgery,Cancer Hospital,Peking Union Medical University,Chinese Academy of Medical Sciences,Beijing 100021,China
| | - J M Wang
- Department of Hepatobiliary Surgery,Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology,Wuhan 430030,China
| | - W Guo
- Department of Hepatobiliary Surgery,Beijing Friendship Hospital Affiliated to Capital Medical University,Beijing 100050,China
| | - F Y Li
- Department of Hepatobiliary Surgery, West China Hospital, Sichuan University,Chengdu 610041,China
| | - J Wang
- Department of Hepatobiliary Surgery,Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine,Shanghai 200127,China
| | - Y M Zheng
- Department of Hepatobiliary Surgery,Xuanwu Hospital,Capital Medical University,Beijing 100053,China
| | - J D Li
- Department of Hepatobiliary Surgery, Affiliated Hospital of North Sichuan Medical College,Nanchong 637000,China
| | - S Cheng
- Department of Hepatobiliary Surgery,Tiantan Hospital Affiliated to Capital Medical University,Beijing 100070,China
| | - Y Y Zeng
- Department of Hepatobiliary Surgery,Mengchao Hepatobiliary Hospital of Fujian Medical University,Fuzhou 350002,China
| |
Collapse
|
10
|
Huo YJ, Zhang MC, Shi Q, Qin W, Shi ZY, Wang L, Cheng S, Xu PP, Zhao WL. [Clinical characteristics and prognosis of primary and secondary diffuse large B-cell lymphoma of the pancreas]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:55-61. [PMID: 36987724 PMCID: PMC10067375 DOI: 10.3760/cma.j.issn.0253-2727.2023.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
Objective: To analyze the clinical characteristics and prognosis of primary and secondary pancreatic diffuse large B-cell lymphoma (DLBCL) . Methods: Clinical data of patients with pancreatic DLBCL admitted at Shanghai Rui Jin Hospital affiliated with Shanghai Jiao Tong University School of Medicine from April 2003 to June 2020 were analyzed. Gene mutation profiles were evaluated by targeted sequencing (55 lymphoma-related genes). Univariate and multivariate Cox regression models were used to evaluate the prognostic factors of overall survival (OS) and progression-free survival (PFS) . Results: Overall, 80 patients were included; 12 patients had primary pancreatic DLBCL (PPDLBCL), and 68 patients had secondary pancreatic DLBCL (SPDLBCL). Compared with those with PPDLBCL, patients with SPDLBCL had a higher number of affected extranodal sites (P<0.001) and had higher IPI scores (P=0.013). There was no significant difference in the OS (P=0.120) and PFS (P=0.067) between the two groups. Multivariate analysis indicated that IPI intermediate-high/high risk (P=0.025) and double expressor (DE) (P=0.017) were independent adverse prognostic factors of OS in patients with pancreatic DLBCL. IPI intermediate-high/high risk (P=0.021) was an independent adverse prognostic factor of PFS in patients with pancreatic DLBCL. Targeted sequencing of 29 patients showed that the mutation frequency of PIM1, SGK1, BTG2, FAS, MYC, and MYD88 in patients with pancreatic DLBCL were all >20%. PIM1 (P=0.006 for OS, P=0.032 for PFS) and MYD88 (P=0.001 for OS, P=0.017 for PFS) mutations were associated with poor OS and PFS in patients with SPDLBCL. Conclusion: There was no significant difference in the OS and PFS between patients with PPDLBCL and those with SPDLBCL. IPI intermediate-high/high risk and DE were adverse prognostic factors of pancreatic DLBCL. PIM1, SGK1, BTG2, FAS, MYC, and MYD88 were common mutations in pancreatic DLBCL. PIM1 and MYD88 mutations indicated worse prognosis.
Collapse
Affiliation(s)
- Y J Huo
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - M C Zhang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Q Shi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - W Qin
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Z Y Shi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - L Wang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - S Cheng
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - P P Xu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - W L Zhao
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| |
Collapse
|
11
|
Fu B, Yu Y, Cheng S, Huang H, Long T, Yang J, Gu M, Cai C, Chen X, Niu H, Hua W. Prognostic Value of Four Preimplantation Malnutrition Estimation Tools in Predicting Heart Failure Hospitalization of the Older Diabetic Patients with Right Ventricular Pacing. J Nutr Health Aging 2023; 27:1262-1270. [PMID: 38151878 DOI: 10.1007/s12603-023-2042-6] [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: 08/25/2023] [Accepted: 11/15/2023] [Indexed: 12/29/2023]
Abstract
OBJECTIVES The prognostic value of preimplantation nutritional status is not yet known for older diabetic patients that received right ventricular pacing (RVP). The study aimed to investigate the clinical value of the four malnutrition screening tools for the prediction of heart failure hospitalization (HFH) in older diabetic patients that received RVP. DESIGN Retrospective observational cohort study. SETTING AND PARTICIPANTS This study was conducted between January 2017 and January 2018 at the Fuwai Hospital, Beijing, China, and included older (age ≥ 65 years) diabetic patients that received RVP for the first time Measurements: The Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Naples Prognostic Score (NPS), and the Controlling Nutritional Status (CONUT) score were used to estimate the preimplantation nutritional status of the patients. Univariate and multivariate Cox proportional hazard regression analyses were performed to investigate the association between preimplantation malnutrition and HFH. RESULTS Overall, 231 older diabetic patients receiving RVP were included. The median follow-up period after RVP was 53 months. HFH was reported for 19.9% of the included patients. Our results showed preimplantation malnutrition for 18.2%, 15.2%, 86.6% and 66.2% of the included patients based on the PNI, GNRI, NPS, and CONUT score, respectively. The cumulative rate of HFH during follow-up period was significantly higher for patients in the preimplantation malnutrition group based on the PNI (log-rank = 13.0, P = 0.001), GNRI (log-rank = 8.5, P = 0.01), and NPS (log-rank = 15.7, P < 0.001) compared to the normal nutrition group, but was not statistically significant for those in the preimplantation malnutrition group based on the CONUT score (log-rank = 2.7, P = 0.3). As continuous variables, all the nutritional indices showed significant correlation with HFH (all P < 0.05). However, multivariate analysis showed that only GNRI was independently associated with HFH (HR = 0.97, 95% CI: 0.937-0.997, P = 0.032). As categorical variables, PNI, GNRI, and NPS showed significant correlation with HFH. After adjustment of confounding factors, moderate-to-severe degree of malnutrition was an independent predictor of HFH based on the PNI (HR = 4.66, 95% CI: 1.03-21.00, P = 0.045) and GNRI (HR = 3.02, 95% CI: 1.02-9.00, P = 0.047). CONCLUSION Preimplantation malnutrition was highly prevalent in older diabetic patients that received RVP. The malnutrition prediction tools, PNI and GNRI, showed significant prognostic value in accurately predicting HFH in older diabetic patients with RVP.
Collapse
Affiliation(s)
- B Fu
- Wei Hua, Cardiac Arrhythmia Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Bei Li Shi Rd, Xicheng District, Beijing 100037, China,
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
12
|
Zhang Z, Wang L, Cheng S. Composed query image retrieval based on triangle area triple loss function and combining CNN with transformer. Sci Rep 2022; 12:20800. [PMID: 36460827 PMCID: PMC9718755 DOI: 10.1038/s41598-022-25340-w] [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: 05/24/2022] [Accepted: 11/29/2022] [Indexed: 12/03/2022] Open
Abstract
The existing typical combined query image retrieval methods adopt Euclidean distance as sample distance measurement method, and the model trained by triple loss function blindly pursues absolute distance between samples, resulting in unsatisfactory image retrieval performance. Meanwhile, these methods singularly adopt Convolutional Neural Network (CNN) to extract reference image features. However, receptive field of convolution operation has the characteristics of locality, which is easy to cause the loss of edge feature information of reference images. In view of shortcomings of these methods, the following improvements are proposed in this paper: (1) We propose Triangle Area Triple Loss Function (TATLF), which adopts Triangle Area (TA) as measurement of sample distance. TA comprehensively considers the absolute distance and included angle between samples, so that the trained model has better retrieval performance; (2) We combine CNN with Transformer to simultaneously extract local and edge features of reference images, which can effectively reduce the loss of reference images information. Specifically, CNN is adopted to extract local feature information of reference images. Transformer is used to pay attention to the edge feature information of reference images. Extensive experiments on two public datasets, Fashion200k and MIT-States, confirm the excellent performance of our proposed method.
Collapse
Affiliation(s)
- Zhiwei Zhang
- grid.413254.50000 0000 9544 7024College of Information Science and Engineering, Xinjiang University, Urumqi, 830046 China
| | - Liejun Wang
- grid.413254.50000 0000 9544 7024College of Information Science and Engineering, Xinjiang University, Urumqi, 830046 China
| | - Shuli Cheng
- grid.413254.50000 0000 9544 7024College of Information Science and Engineering, Xinjiang University, Urumqi, 830046 China
| |
Collapse
|
13
|
Zhang X, Yin H, Zhang X, Jiang X, Liu Y, Zhang H, Peng Y, Li D, Yu Y, Zhang J, Cheng S, Yang A, Zhang R. N6-methyladenosine modification governs liver glycogenesis by stabilizing the glycogen synthase 2 mRNA. Nat Commun 2022; 13:7038. [PMID: 36396934 PMCID: PMC9671881 DOI: 10.1038/s41467-022-34808-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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: 11/26/2021] [Accepted: 11/08/2022] [Indexed: 11/18/2022] Open
Abstract
Hepatic glycogen is the main source of blood glucose and controls the intervals between meals in mammals. Hepatic glycogen storage in mammalian pups is insufficient compared to their adult counterparts; however, the detailed molecular mechanism is poorly understood. Here, we show that, similar to glycogen storage pattern, N6-methyladenosine (m6A) modification in mRNAs gradually increases during the growth of mice in liver. Strikingly, in the hepatocyte-specific Mettl3 knockout mice, loss of m6A modification disrupts liver glycogen storage. On the mechanism, mRNA of Gys2, the liver-specific glycogen synthase, is a substrate of METTL3 and plays a critical role in m6A-mediated glycogenesis. Furthermore, IGF2BP2, a "reader" protein of m6A, stabilizes the mRNA of Gys2. More importantly, reconstitution of GYS2 almost rescues liver glycogenesis in Mettl3-cKO mice. Collectively, a METTL3-IGF2BP2-GYS2 axis, in which METTL3 and IGF2BP2 regulate glycogenesis as "writer" and "reader" proteins respectively, is essential on maintenance of liver glycogenesis in mammals.
Collapse
Affiliation(s)
- Xiang Zhang
- grid.233520.50000 0004 1761 4404The State Key Laboratory of Cancer Biology, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi’an, Shaanxi 710032 China ,grid.233520.50000 0004 1761 4404The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Fourth Military Medical University, Xi’an, Shaanxi 710032 China
| | - Huilong Yin
- grid.233520.50000 0004 1761 4404The State Key Laboratory of Cancer Biology, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi’an, Shaanxi 710032 China ,grid.412990.70000 0004 1808 322XThe Henan Key Laboratory of immunology and Targeted Therapy, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang, Henan 453003 China ,grid.412990.70000 0004 1808 322XThe Xinxiang Key Laboratory of Tumor Microenvironment and Immunotherapy, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang, Henan 453003 China
| | - Xiaofang Zhang
- grid.233520.50000 0004 1761 4404The State Key Laboratory of Cancer Biology, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi’an, Shaanxi 710032 China
| | - Xunliang Jiang
- grid.233520.50000 0004 1761 4404The State Key Laboratory of Cancer Biology, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi’an, Shaanxi 710032 China
| | - Yongkang Liu
- grid.233520.50000 0004 1761 4404The State Key Laboratory of Cancer Biology, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi’an, Shaanxi 710032 China
| | - Haolin Zhang
- grid.233520.50000 0004 1761 4404The State Key Laboratory of Cancer Biology, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi’an, Shaanxi 710032 China
| | - Yingran Peng
- grid.233520.50000 0004 1761 4404The State Key Laboratory of Cancer Biology, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi’an, Shaanxi 710032 China
| | - Da Li
- grid.233520.50000 0004 1761 4404The State Key Laboratory of Cancer Biology, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi’an, Shaanxi 710032 China
| | - Yanping Yu
- grid.233520.50000 0004 1761 4404The State Key Laboratory of Cancer Biology, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi’an, Shaanxi 710032 China ,grid.440201.30000 0004 1758 2596The Second Ward of Gynecological Tumor, Shaanxi Provincial Tumor Hospital, Xi’an, Shaanxi 710000 China
| | - Jinbao Zhang
- grid.233520.50000 0004 1761 4404The State Key Laboratory of Cancer Biology, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi’an, Shaanxi 710032 China
| | - Shuli Cheng
- grid.233520.50000 0004 1761 4404The State Key Laboratory of Cancer Biology, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi’an, Shaanxi 710032 China ,grid.43169.390000 0001 0599 1243The Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, Laboratory Center of Stomatology, Department of Orthodontics, College of Stomatology, Xi’an Jiaotong University, Xi’an, Shaanxi 710032 China
| | - Angang Yang
- grid.412990.70000 0004 1808 322XThe Henan Key Laboratory of immunology and Targeted Therapy, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang, Henan 453003 China ,grid.412990.70000 0004 1808 322XThe Xinxiang Key Laboratory of Tumor Microenvironment and Immunotherapy, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang, Henan 453003 China ,grid.233520.50000 0004 1761 4404The State Key Laboratory of Cancer Biology, Department of Immunology, Fourth Military Medical University, Xi’an, Shaanxi 710032 China
| | - Rui Zhang
- grid.233520.50000 0004 1761 4404The State Key Laboratory of Cancer Biology, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi’an, Shaanxi 710032 China ,grid.233520.50000 0004 1761 4404The State Key Laboratory of Cancer Biology, Department of Immunology, Fourth Military Medical University, Xi’an, Shaanxi 710032 China
| |
Collapse
|
14
|
Cheng S, Freeman A. REFRACTORY CHRONIC SPONTANEOUS URTICARIA AFTER TREATED GRAVES' DISEASE. Ann Allergy Asthma Immunol 2022. [DOI: 10.1016/j.anai.2022.08.832] [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]
|
15
|
Sheng YJ, Jiang QQ, Liu L, Cheng S, Li HR, Li SW, Huang SL, Li YD, Yuan JQ, Ping YF, Dong J. [Characteristics and regulatory mechanisms of lipid metabolism remodeling after malignant transformation of glioma-associated macrophages]. Zhonghua Yi Xue Za Zhi 2022; 102:3134-3142. [PMID: 36274598 DOI: 10.3760/cma.j.cn112137-20220127-00203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To observe the lipid metabolism characteristics of tumor-associated macrophages (TAM) after malignant transformation in the glioma micro-environment, and analyze the biological phenotype changes and regulatory mechanisms after inhibiting the lipid metabolism remodeling. Methods: Twelve male Balb/c mice of 6-8 weeks were used in the study. Macrophages (Mφ) were derived from mouse bone marrow, and malignantly transformed macrophages (tMφ1 and tMφ2) were cloned from the model of glioma stem cell (GSC) through interaction with Mφ in vivo and in vitro. Intracellular lipid droplet formation and cellular cholesterol content were measured respectively in Mφ, tMφ1 and tMφ2. qRT-PCR was performed to detect the genes expression level related with lipid metabolism, including sterol regulatory element binding protein (SREBP), fatty acid synthase (FASN), and 3-hydroxy-3-methylglutarate monoacyl coenzyme A reductase (HMG-CoA). Simvastatin (SIM) was used to analyze the proliferation, immigration and invasiveness ability in tMφ1 and tMφ2 after inhibition of the lipid metabolism. Differential expression profiles of miRNAs after SIM treatment were constructed in t-Mφ1 and bio-informatics analysis was screened and verified for miR449a and its target gene sorting micro-tubule connectin 17 (SNX17) associated with lipid metabolism remodeling. The effect on SNX17 by up-regulated miR-449a were analyzed by qRT-PCR and Western blot, meanwhile, the biological phenotype and cholesterol content were observed after up-regulation of miR449a. Low-density lipoprotein receptor (LDLR) protein levels after SNX17 knockdown and intracellular cholesterol content after LDLR knockdown were detected respectively. Results: The numbers of intracellular lipid droplet formation in tMφ1 and tMφ2 were more than that in Mφ (P<0.001). Likewise, the relative contents of cholesterol (3.89±0.68 and 3.56±0.53), SREBP (4.78±0.60 and 2.84±0.41), FASN (4.65±0.70 and 3.01±0.45), and HMG-CoA (5.74±0.55 and 2.97±0.34) were significantly higher in tMφ1 and tMφ2 than those of Mφ (1.01 wel, 1.02 wel and 0.99 wel, respectively) (all P<0.001). The proliferation rates of tMφ1 and tMφ2 decreased from (47.06±5.88) % and (45.29±5.64)% to (23.53±4.70)% and (18.74±5.76)%, respectively after treatment with SIM (both P<0.05). The numbers of migrated cells decreased from 1 025±138 and 350±47 to 205±63 and 99±25, respectively (both P<0.001). And the numbers of invasiveness cells decreased from 919±45 and 527±34 to 220±23 and 114±21, respectively (both P<0.001). While the relative intracellular cholesterol content decreased to 0.52±0.08 and 0.58±0.07 (both P<0.05), respectively. MiR-449a was screened from tMφ1 by SIM, and the target gene was analyzed and verified to be SNX17. SNX17 expression was down-regulated, and the proliferation rate, the number of migration and invasiveness was significantly decreased after miR-449a over-expression (all P<0.05). Low-density lipoprotein receptor (LDLR) expression was down-regulated after knock-down of SNX17, while the cholesterol content was decreased after knock-down of LDLR in tMφ1 and tMφ2 (all P<0.05). Conclusions: Malignantly transformed TAMs undergo lipid metabolism remodeling characterized with enhanced lipid metabolism. MiR-449a regulates the LDLR by targeting SNX17, thereby affecting the lipid metabolism of malignantly transformed macrophages, and subsequently inhibiting its proliferation, migration, and invasion ability. Precise intervention with miR-449a/SNX17/LDLR axis could provide an experimental basis for reversing its tumor-promoting micro-environment remodeled by GSC through metabolic intervention.
Collapse
Affiliation(s)
- Y J Sheng
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Q Q Jiang
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - L Liu
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - S Cheng
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - H R Li
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - S W Li
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - S L Huang
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Y D Li
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - J Q Yuan
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Y F Ping
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University, Chongqing 400038, China
| | - J Dong
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| |
Collapse
|
16
|
Le T, Cheng S, Wallenburg J, Stephenson A. 37 Trends in Canadian cystic fibrosis health care use amidst the COVID-19 pandemic. J Cyst Fibros 2022. [PMCID: PMC9527878 DOI: 10.1016/s1569-1993(22)00728-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
|
17
|
Lai X, Yang X, Rao S, Zhu Z, Cong X, Ye J, Zhang W, Liao Y, Cheng S, Xu F. Advances in physiological mechanisms of selenium to improve heavy metal stress tolerance in plants. Plant Biol (Stuttg) 2022; 24:913-919. [PMID: 35583793 DOI: 10.1111/plb.13435] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 05/02/2022] [Indexed: 06/15/2023]
Abstract
Selenium (Se) is a metalloid mineral nutrient for human and animal health. Plants are the main foodstuff source of the Se intake of humans. For plants, the addition of an appropriate amount of Se could promotes growth and development, and improves the tolerance to environmental stress, especially stress from some of heavy metals (HM) stress, such as cadmium (Cd) and mercury (Hg). This paper mainly reviews and summarizes the physiological mechanism of Se in enhancing HM stress tolerance in plants. The antagonistic effect of Se on HM is a comprehensive effect that includes many physiological mechanisms. Se can promote the removal of excessive reactive oxygen species and reduce the oxidative damage of plant cells under HM elements stress. Se participates in the regulation of the transportation and distribution of HM ions in plants, and alleviates the damage caused by of HM stress. Moreover, Se combine with HM elements to form Se-HM complexes and promote the production of phytochelatins (PCs), thereby reducing the accumulation of HM ions in plants. Overall, Se plays an important role in plant response to HM stress, but current studies mainly focus on physiological mechanism, and further in-depth study on the molecular mechanism is essential to confirm the participation of Se in plant response to environmental stress. This review helps to comprehensively understand the physiological mechanism of Se in plant tolerance against to HM stress of plants, and provides important theoretical support for the practical application of Se in environmental remediation and agricultural development.
Collapse
Affiliation(s)
- X Lai
- College of Horticulture and Gardening, Yangtze University, Jingzhou, China
| | - X Yang
- College of Horticulture and Gardening, Yangtze University, Jingzhou, China
| | - S Rao
- College of Horticulture and Gardening, Yangtze University, Jingzhou, China
- School of Modern Industry for Selenium Science and Engineering, National R&D Center for Se-rich Agricultural Products Processing Technology, Wuhan Polytechnic University, Wuhan, China
| | - Z Zhu
- School of Modern Industry for Selenium Science and Engineering, National R&D Center for Se-rich Agricultural Products Processing Technology, Wuhan Polytechnic University, Wuhan, China
| | - X Cong
- School of Modern Industry for Selenium Science and Engineering, National R&D Center for Se-rich Agricultural Products Processing Technology, Wuhan Polytechnic University, Wuhan, China
- Enshi Se-Run Health Tech Development Co., Ltd, Enshi, China
| | - J Ye
- College of Horticulture and Gardening, Yangtze University, Jingzhou, China
| | - W Zhang
- College of Horticulture and Gardening, Yangtze University, Jingzhou, China
| | - Y Liao
- College of Horticulture and Gardening, Yangtze University, Jingzhou, China
| | - S Cheng
- School of Modern Industry for Selenium Science and Engineering, National R&D Center for Se-rich Agricultural Products Processing Technology, Wuhan Polytechnic University, Wuhan, China
| | - F Xu
- College of Horticulture and Gardening, Yangtze University, Jingzhou, China
| |
Collapse
|
18
|
Liang X, Hou TP, Zhang D, Luo WD, Cheng S, Zheng YH, Wu KM. New evaluation of the thermodynamics stability for bcc-Fe. J Phys Condens Matter 2022; 34:455801. [PMID: 36007519 DOI: 10.1088/1361-648x/ac8cc6] [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] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 08/25/2022] [Indexed: 06/15/2023]
Abstract
The thermodynamic properties for bcc-Fe were predicted by combination of the first-principles calculations, the quasiharmonic approximation, the CALPHAD method and the Weiss molecular field theory. The hybrid method considers the effects of the lattice vibration, electron, intrinsic magnetism and external magnetic fields on the thermodynamic properties at finite temperature. Combined with experimental data, the calculated heat capacity without external magnetic fields was used to verify the validity of the hybrid method. Close to the Fermi level the high electronic density of states leads to a significant electronic contribution to free energy. Near the Curie temperature lattice vibrations dominant the Gibbs free energy. The order of the other three excitation contributions to Gibbs free energy from high to low is: intrinsic magnetism > electron > external magnetic fields. The investigation suggests that all the excitation contributions to Gibbs free energy are not negligible which provides a correct direction for tuning the thermodynamic properties for Fe-based alloy.
Collapse
Affiliation(s)
- X Liang
- The State Key Laboratory for Refractories and Metallurgy, International Research Institute for Steel Technology, Collaborative Innovation Center for Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - T P Hou
- The State Key Laboratory for Refractories and Metallurgy, International Research Institute for Steel Technology, Collaborative Innovation Center for Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - D Zhang
- The State Key Laboratory for Refractories and Metallurgy, International Research Institute for Steel Technology, Collaborative Innovation Center for Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - W D Luo
- The State Key Laboratory for Refractories and Metallurgy, International Research Institute for Steel Technology, Collaborative Innovation Center for Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - S Cheng
- The State Key Laboratory for Refractories and Metallurgy, International Research Institute for Steel Technology, Collaborative Innovation Center for Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - Y H Zheng
- The State Key Laboratory for Refractories and Metallurgy, International Research Institute for Steel Technology, Collaborative Innovation Center for Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - K M Wu
- The State Key Laboratory for Refractories and Metallurgy, International Research Institute for Steel Technology, Collaborative Innovation Center for Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| |
Collapse
|
19
|
Hoxha T, Pienkowski M, Khan K, Moore A, Balaratnam K, Chowdhury M, Walia P, Sabouhanian A, Herman J, Strom E, Hueniken K, Corke L, Leighl N, Shepherd F, Bradbury P, Sacher A, Cheng S, Brown M, Mai V, Garcia M, Zhan L, Xu W, Liu G. EP02.04-009 Real World Survival Outcome Analysis of Adjuvant Therapies in Non-EGFR, Non-ALK Early Stage Resected NSCLC. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
|
20
|
Lee J, Mai V, Garcia M, Cheng S, Khan K, Balaratnam K, Thakral A, Brown M, Zhan L, Corke L, Leighl N, Shepherd F, Bradbury P, Sacher A, Liu G. EP08.02-082 Treatment Patterns and Outcomes of First-line Osimertinib-treated Advanced EGFR Mutated NSCLC Patients: A Real-world Study. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
21
|
Schmid S, Zhan L, Garcia M, Cheng S, Khan K, Chowdhury M, Sabouhanian A, Herman J, Walia P, Strom E, Brown M, Patel D, Xu W, Shepherd F, Sacher A, Leighl N, Bradbury P, Shultz D, Liu G. 1144P Clinical outcomes of NSCLC patients (pts) who had brain-only metastasis at time of stage IV diagnosis, by presence versus absence of EGFR/ALK mutations. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1268] [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] Open
|
22
|
Moore S, Zhan L, Liu G, Rittberg R, Patel D, Chowdhury D, Leung B, Cheng S, Mckinnon M, Khan K, Agulnik J, Cheung W, Dawe D, Fung A, Snow S, Cohen V, Yan M, Lok B, Wheatley-Price P, Ho C. EP14.05-020 Population-based Outcomes for Patients with Extensive-Stage Small-cell Lung Cancer from the Canadian SCLC Database (CASCADE). J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
|
23
|
Moore S, Zhan L, Liu G, Rittberg R, Patel D, Chowdhury D, Leung B, Cheng S, Mckinnon M, Khan K, Snow S, Fung A, Dawe D, Cheung W, Agulnik J, Yan M, Cohen V, Wheatley-Price P, Ho C, Lok B. EP14.04-001 Treatment and Outcomes of Patients with Limited-Stage Small-cell Lung Cancer in the Canadian SCLC Database (CASCADE). J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
|
24
|
Labidi S, N. Meti, R. Barua, Riromar J, Hansen A, Jiang D, Fallah-Rad N, Sridhar S, Ferrario C, Pezo R, Cheng S, Sacher A, Rose A. 1754P Association between body mass index (BMI) and anti-PD1/L1 immune checkpoint inhibitor (ICI) outcomes in patients with metastatic urothelial carcinoma (mUC). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
|
25
|
Moore S, Zhan L, Liu G, Rittberg R, Patel D, Chowdhury D, Leung B, Cheng S, Mckinnon M, Khan K, Agulnik J, Fung A, Cheung W, Snow S, Dawe D, Cohen V, Yan M, Ho C, Lok B, Wheatley-Price P. EP03.01-016 The Canadian Small Cell Lung Cancer Database (CASCADE): Results from a Multi-Institutional Real-World Evidence Collaboration. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
|
26
|
Yang Y, Wang Z, Wu B, Cheng S, Fan H. [Role of type 2 innate lymphoid cells in helminth infections: a review]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2022; 35:184-190. [PMID: 37253569 DOI: 10.16250/j.32.1374.2022041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Helminth infections may trigger host innate and adaptive immune responses. Group 2 innate lymphoid cells (ILC2) are an important factor involved in type 2 immune responses, and produce a large number of T helper 2 cell (Th2) cytokines following stimulation by interleukin (IL)-25, IL-33 and thymic stromal lymphopoietin (TSLP), which play a critical role in parasite clearance and tissue repair. Following helminth infections, autocrine factors, mast cells, enteric nervous system and Th2 cells have been recently found to be involved in regulation of ILC2. Unraveling the role of ILC2 in immune response against helminth infections is of great value for basic research and drug development. This review summarizes the research progress on ILC2 and its role in helminth infections.
Collapse
Affiliation(s)
- Y Yang
- Department of Hepatopancreatobiliary Surgery, The Affiliated Hospital of Qinghai University, Xining, Qinghai 810001, China
- Qinghai Provincial Key Laboratory for Echinococcosis Research, Xining, Qinghai 810001, China
| | - Z Wang
- Department of Hepatopancreatobiliary Surgery, The Affiliated Hospital of Qinghai University, Xining, Qinghai 810001, China
- Qinghai Provincial Key Laboratory for Echinococcosis Research, Xining, Qinghai 810001, China
| | - B Wu
- Qinghai Provincial Key Laboratory for Echinococcosis Research, Xining, Qinghai 810001, China
| | - S Cheng
- Qinghai Provincial Key Laboratory for Echinococcosis Research, Xining, Qinghai 810001, China
| | - H Fan
- Department of Hepatopancreatobiliary Surgery, The Affiliated Hospital of Qinghai University, Xining, Qinghai 810001, China
- Qinghai Provincial Key Laboratory for Echinococcosis Research, Xining, Qinghai 810001, China
| |
Collapse
|
27
|
Trasolini A, Erker C, Cheng S, Crowell C, McFadden K, Moineddin R, Sargent MA, Mata-Mbemba D. MR Imaging of Pediatric Low-Grade Gliomas: Pretherapeutic Differentiation of BRAF V600E Mutation, BRAF Fusion, and Wild-Type Tumors in Patients without Neurofibromatosis-1. AJNR Am J Neuroradiol 2022; 43:1196-1201. [PMID: 35863783 PMCID: PMC9575425 DOI: 10.3174/ajnr.a7574] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 05/24/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The prognosis and treatment of pediatric low-grade gliomas is influenced by their molecular subtype. MR imaging remains the mainstay for initial work-up and surgical planning. We aimed to determine the relationship between imaging patterns and molecular subtypes of pediatric low-grade gliomas. MATERIALS AND METHODS This was a retrospective bi-institutional study for patients diagnosed from 2004 to 2021 with pathologically confirmed pediatric low-grade gliomas molecularly defined as BRAF fusion, BRAF V600E mutant, or wild-type (which is neither BRAF V600E mutant nor BRAF fusion). Two neuroradiologists, blinded, independently reviewed imaging parameters from diagnostic MRIs, and discrepancies were resolved by consensus. Bivariate analysis was used followed by pair-wise comparison of the Dwass-Steel-Critchlow-Fligner method to compare the 3 molecular subtypes. Interreader agreement was assessed using κ. RESULTS We included 70 patients: 30 BRAF fusion, 19 BRAF V600E mutant, and 21 wild-type. There was substantial agreement between the readers for overall imaging variables (κ = 0.75). BRAF fusion tumors compared with BRAF V600E and wild-type tumors were larger (P = .0022), and had a greater mass effect (P = .0053), increased frequency of hydrocephalus (P = .0002), and diffuse enhancement (p <.0001). BRAF V600E mutant tumors were more often hemispheric (P < .0001), appeared more infiltrative (P = .0002), and, though infrequent, were the only group demonstrating diffusion restriction (qualitatively; P = .0042) with a lower ADC ratio (quantitatively) (P = .003). CONCLUSIONS BRAF fusion and BRAF V600E mutant pediatric low-grade gliomas have unique imaging features that can be used to differentiate them from each other and wild-type pediatric low-grade glioma using a standard radiology review with high interreader agreement. In the era of targeted therapy, these features can be useful for therapeutic planning before surgery.
Collapse
Affiliation(s)
- A Trasolini
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Dalhousie University Medical School (A.T.), Halifax, Nova Scotia, Canada
| | - C Erker
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Departments of Pediatrics (C.E.)
| | - S Cheng
- Division of Hematology, Oncology, and Bone Marrow Transplant (S.C.), Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - C Crowell
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Faculty of Science (C.C.), Dalhousie University, Halifax, Nova Scotia, Canada
| | - K McFadden
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Pathology (K.M.)
| | - R Moineddin
- University of Toronto Dalla Lana School of Public Health (R.M.), Toronto, Ontario, Canada
| | - M A Sargent
- Department of Radiology (M.A.S.), British Columbia Children's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - D Mata-Mbemba
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Diagnostic Radiology (D.M.-M.)
- Department of Diagnostic Imaging (D.M.-M.), IWK Health Centre, Halifax, Nova Scotia, Canada
| |
Collapse
|
28
|
Cai S, Miao K, Tan XY, Cheng S, Li DT, Zeng XY, Yang Y, Meng RR, Liu ZK, Li Y, Li KL, Sun F, Zhan SY. [Clinical research progress and implications of therapeutic vaccines for cervical cancer and precancerous lesions: a qualitative systematic review]. Zhonghua Zhong Liu Za Zhi 2022; 44:743-760. [PMID: 35880341 DOI: 10.3760/cma.j.cn112152-20210824-00638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To systematically summarize and analyze the clinical research progress of therapeutic vaccines for cervical cancer or precancerous lesions. Methods: English databases (PubMed, Embase, Web of Science, Cochrane library, Proquest, and ClinicalTrails.gov) and Chinese databases (SinoMed, CNKI, WanFang, and VIP Database) were systematically searched to collect literature on therapeutic vaccines for cervical cancer or precancerous lesions from inception to February 18, 2021. After screening, we evaluated the risk of bias of included studies, and combed the basic information of the literature, research designs, information of vaccines, study patients, outcome indicators and so on, qualitatively summarized the clinical research progress. Results: A total of 71 studies were included in this systematic review, including 14 random controlled trials, 15 quasi-random controlled trials, 4 cohort studies, 1 case-control study, 34 case series studies and 3 case reports. The study patients included women aged 15~79 with cervical cancer or precancerous lesions in 18 countries from 1989 to 2021. On the one hand, there were 40 studies on therapeutic vaccines for cervical precancerous lesions (22 867 participants), involving 21 kinds of vaccines in 6 categories. Results showed 3 marketed vaccines (Cervarix, Gardasil, Gardasil 9) as adjuvant immunotherapies were significant effective in preventing the recurrence of precancerous lesions compared with the conization only. In addition, MVA E2 vaccine had been in phase Ⅲ clinical trials as a specific therapeutic vaccine, with relative literature showing it could eliminate most high-grade precancerous lesions. Therapeutic vaccines for precancerous lesions all showed good safety. On the other hand, there were 31 studies on therapeutic vaccines for cervical cancer (781 participants), involving 19 kinds of vaccines in 7categories, with none had been marketed. 25 studies were with no control group, showing the vaccines could effectively eliminate solid tumors, prevent recurrence, and prolong the median survival time. However, the vaccines effectiveness couldn't be statistically calculated due to the lack of a control group. As for the safety of therapeutic vaccines for cervical cancer, 9 studies showed that patients experienced serious adverse events after treatments, where 7 studies reported that serious adverse events occurred in patients couldn't be ruled out as the results of therapeutic vaccines. Conclusions: The literature review shows that the literature evidence for the therapeutic vaccines for cervical precancerous lesions is relatively mature compared with the therapeutic vaccines for cervical cancer. The four kinds of vaccines on the market are all therapeutic vaccines for precancerous lesions, but they are generally used as vaginal infection treatments or adjuvant immunotherapies for cervical precancerous lesions, not used for the specific treatments of cervical precancerous lesions. Other specific therapeutic vaccines are in the early stage of clinical trials, mainly phase Ⅰ/Ⅱ clinical trials with small sample size. The effectiveness and safety data are limited, and further research is still needed.
Collapse
Affiliation(s)
- S Cai
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - K Miao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - X Y Tan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D T Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - X Y Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Yang
- National Institute of Health Data Science, Peking University, Beijing 100191, China
| | - R R Meng
- National Institute of Health Data Science, Peking University, Beijing 100191, China
| | - Z K Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Li
- National Center for Disease Control and Prevention, Beijing 100050, China
| | - K L Li
- National Center for Disease Control and Prevention, Beijing 100050, China
| | - F Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S Y Zhan
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing 100191, China
| |
Collapse
|
29
|
Lu D, Cheng S, Wang L, Song S. Multi-scale feature progressive fusion network for remote sensing image change detection. Sci Rep 2022; 12:11968. [PMID: 35831628 PMCID: PMC9279334 DOI: 10.1038/s41598-022-16329-6] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 07/08/2022] [Indexed: 11/09/2022] Open
Abstract
Presently, research on deep learning-based change detection (CD) methods has become a hot topic. In particular, feature pyramid networks (FPNs) are widely used in CD tasks to gradually fuse semantic features. However, existing FPN-based CD methods do not correctly detect the complete change region and cannot accurately locate the boundaries of the change region. To solve these problems, a new Multi-Scale Feature Progressive Fusion Network (MFPF-Net) is proposed, which consists of three innovative modules: Layer Feature Fusion Module (LFFM), Multi-Scale Feature Aggregation Module (MSFA), and Multi-Scale Feature Distribution Module (MSFD). Specifically, we first concatenate the features of each layer extracted from the bi-temporal images with their difference maps, and the resulting change maps fuse richer semantic information while effectively representing change regions. Then, the obtained change maps of each layer are directly aggregated, which improves the effective communication and full fusion of feature maps in CD while avoiding the interference of indirect information. Finally, the aggregated feature maps are layered again by pooling and convolution operations, and then a feature fusion strategy with a pyramid structure is used, with layers fused from low to high, to obtain richer contextual information, so that each layer of the layered feature maps has original semantic information and semantic features of other layers. We conducted comprehensive experiments on three publicly available benchmark datasets, CDD, LEVIR-CD, and WHU-CD to verify the effectiveness of the method, and the experimental results show that the method in this paper outperforms other comparative methods.
Collapse
Affiliation(s)
- Di Lu
- College of Information Science and Engineering, Xinjiang University, Urumqi, 830046, China
| | - Shuli Cheng
- College of Information Science and Engineering, Xinjiang University, Urumqi, 830046, China.
| | - Liejun Wang
- College of Information Science and Engineering, Xinjiang University, Urumqi, 830046, China
| | - Shiji Song
- Department of Automation, Tsinghua University, Beijing, 100084, China
| |
Collapse
|
30
|
Goh SN, Fan G, Cheng S, Khaing N. COVID 19 pandemic: Impact of changes experienced on social workers' professional quality of life in Singapore. Soc Work Health Care 2022; 61:298-322. [PMID: 35819057 DOI: 10.1080/00981389.2022.2092582] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 04/19/2022] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
COVID-19 has impacted all spheres of life massively. Among the emerging studies on the psychosocial impact of the pandemic, few studies look specifically at how social workers are impacted. To understand this gap, this study surveyed 337 social workers. The findings showed that changes experienced in the workplace were enormous and caused secondary traumatic stress while engendering compassion satisfaction among social workers, but the presence of social support moderated to keep the secondary traumatic stress at bay. Resilience mediated association between social and workplace support and compassion fatigue. Social support seemed to have the largest effect on reducing stress through resilience. Workplace support also helped mitigate burnout. In conclusion, continued social and workplace support will be key to supporting social workers during a pandemic.
Collapse
Affiliation(s)
- S N Goh
- Medical Social Services, Changi General Hospital, Singapore, Singapore
| | - G Fan
- Psychosocial Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - S Cheng
- Medical Social Services, Sengkang General Hospital, Singapore, Singapore
| | - Nee Khaing
- Health Services Research, Changi General Hospital, Singapore, Singapore
| |
Collapse
|
31
|
Le S, Zhang Y, Voutilainen A, Tan X, Laukkanen J, Wang C, Cheng S. Differences in cardiometabolic risk profiles between Chinese and Finnish older adults with glucose impairment and central obesity. J Endocrinol Invest 2022; 45:1427-1437. [PMID: 35325446 PMCID: PMC9184414 DOI: 10.1007/s40618-022-01777-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 02/23/2022] [Indexed: 12/06/2022]
Abstract
BACKGROUND Obesity and ethnicity play important roles in cardiovascular complications in patients with type 2 diabetes mellitus (T2DM). This study aimed to compare cardiometabolic risk profiles between Chinese and Finnish older adults of central obesity with prediabetes or T2DM. METHODS Study subjects were 60-74 years old and originated from two population samples. The Finnish subjects came from the Kuopio Ischemic Heart Disease (KIHD) study (n = 1089), and the Chinese subjects came from the Shanghai High-risk Diabetic Screen (SHiDS) study (n = 818). The KIHD and SHiDS studies used similar questionnaires to determine participants' baseline characteristics regarding the history of medication use and diseases and lifestyle factors. All study subjects participated in glucose tolerance tests and anthropometry assessments, including waist circumference measurements. RESULTS Among study subjects of central obesity with prediabetes (n = 298), fasting and 2-h glucose, and fasting insulin and insulin resistance were significantly higher in Chinese than in Finnish (p < 0.0001-0.016). In addition, triglyceride (TG) level was higher and the low-density lipoprotein cholesterol (LDL) and LDL to high-density lipoprotein cholesterol (HDL) ratio were lower in Chinese than in Finnish (p < 0.0001-0.003). Among subjects of central obesity with T2DM (n = 251), Chinese subjects had significantly less proportions of antihypertensive, glycaemic control medication, and statin users as well as lower level of physical activity (p < 0.0001 for all), while higher blood pressure (p = 0.002 for systolic blood pressure and p < 0.0001 for diastolic blood pressure), TG levels (p < 0.05) and HDL (p = 0.002) than the Finnish counterparts. There were no differences in β-cell function (HOMA-β) between Chinese and Finnish both in prediabetes and T2DM. CONCLUSIONS Our results indicated that Chinese and Finnish older adults of central obesity with prediabetes and T2DM had similar β-cell function. However, Chinese individuals with prediabetes are prone to insulin resistance. Meanwhile, lipid metabolism dysfunction is also different between Chinese and Finnish. Chinese older adults of central obesity with prediabetes showed higher TG, but Finnish showed higher LDL and LDL/HDL. Strategic for T2DM prevention and treatment should be ethnically specific.
Collapse
Affiliation(s)
- S Le
- Exercise Translational Medicine Center, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 200240, Shanghai, China
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
- Department of Physical Therapy, Taihe Hospital, Hubei University of Medicine, Shiyan, 442099, China
- Faculty of Sport and Health Sciences, University of Jyväskylä, 40014, Jyväskylä, Finland
| | - Y Zhang
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, The Metabolic Disease Biobank, Shanghai, 200233, China
| | - A Voutilainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211, Kuopio, Finland
| | - X Tan
- Exercise Translational Medicine Center, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 200240, Shanghai, China
- Department of Neuroscience, Uppsala University, BMC, Box 593, 75124, Uppsala, Sweden
| | - J Laukkanen
- Faculty of Sport and Health Sciences, University of Jyväskylä, 40014, Jyväskylä, Finland.
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211, Kuopio, Finland.
- Institute of Clinical Medicine, Department of Medicine, University of Eastern Finland, 70211, Kuopio, Finland.
| | - C Wang
- Department of Endocrinology and Metabolism, School of Medicine, Shanghai Fourth People's Hospital Affiliated to Tongji University, Tongji University, 1279 Sanmen Road, Shanghai, 200434, China.
| | - S Cheng
- Exercise Translational Medicine Center, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 200240, Shanghai, China.
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China.
- Faculty of Sport and Health Sciences, University of Jyväskylä, 40014, Jyväskylä, Finland.
| |
Collapse
|
32
|
Abstract
Migraine is a common malady cutting across socioeconomic and ethnic divides in Australia. It is typically diagnosed late with significant impact on quality of life. Management options have emerged over the past several years that promise simpler treatment regimens with less potential for side‐effects. The development of rationally designed migraine preventives is the most significant advance in treatment since the development of the triptans and delivers significant hope to many headache sufferers.
Collapse
Affiliation(s)
- Michael Eller
- Monash Medical Centre and Monash University, Melbourne, Victoria, Australia
| | - Shuli Cheng
- Alfred Health, Melbourne, Victoria, Australia
| |
Collapse
|
33
|
Gladman DD, Coates L, Gossec L, Aelion J, Vasandani J, Cheng S, Tang L, Jardon S, Richter S, Mease PJ. POS1080 CHARACTERIZATION OF JOINT DISTRIBUTION AND DISEASE BURDEN IN PATIENTS WITH EARLY OLIGOARTICULAR PSORIATIC ARTHRITIS: RESULTS FROM THE ONGOING FOREMOST STUDY. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2467] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundOligoarticular psoriatic arthritis (PsA) is commonly reported in early disease. Although fewer joints are involved, there may be significant impact on patients’ (pts) quality of life. The ongoing FOREMOST study (NCT03747939) is investigating the efficacy of apremilast vs placebo for treatment of early oligoarticular PsA (>1 but ≤4 tender and swollen joints involved).ObjectivesTo characterize disease burden in pts with early oligoarticular PsA and disease phenotype including location and size of involved joints and presence of certain baseline clinical PsA manifestations in FOREMOST pts.MethodsBaseline swollen and tender joint distribution was analyzed. Baseline disease burden was assessed in the overall group and a subgroup with small joint involvement only (for context) using clinical disease activity measures, pt-reported outcomes, and additional PsA manifestations.ResultsAt data cut-off for analysis, 220 pts of 285 planned were enrolled. In the overall group, disease duration was <1 year and joint distribution for swollen or tender joints involved predominantly small joints, with ~48% of joint involvement observed in finger proximal interphalangeal (PIP) joints and <2% in temporomandibular and clavicular joints across swollen or tender joints (Figure 1). Mean Physician’s and Patient Global Assessment of Disease Activity (PhGA and PtGA, respectively) scores were 43.9 and 51.3; mean pt pain assessment score was 50.7. Mean Health Assessment Questionnaire Disability Index (HAQ-DI) functional assessment score was 1.0; 25.5% of pts had HAQ-DI ≤0.5. Pts reported an average PsA Impact of Disease (PsAID-12) domain score of 4.7. Additional manifestations of PsA at baseline included dactylitis (14.5%), enthesitis (32.7%), nail involvement (67.3%), and skin disease (47.7% with body surface area [BSA] ≥3%). Within the overall group, 59% had >1 joint size involved (small [metacarpophalangeal, metatarsophalangeal, distal interphalangeal, PIP, hand carpometacarpal and mid-tarsal]; intermediate [wrist, elbow, ankle, temporomandibular, acromioclavicular, sternoclavicular]; large [shoulder, hip, knee]). Of those with only 1 joint size involved (41% of pts), the majority had small joint involvement predominantly in PIPs (n=84 for small joints; n=1 for intermediate joints; n=5 for large joints). The overall pattern of clinical and disease presentation indicated elevated burden for pts with early oligoarticular PsA, including those pts with only small joints involved (Table 1).Table 1.CharacteristicsOverall Population (PBO + APR), N=220Small Joints Only (PBO + APR), N=84Age, mean, y49.651.3Men, n (%)98 (44.5)40 (47.6)Europe/Russia, n (%)47 (21.4)/66 (30.0)22 (26.2)/11 (13.1)Canada/United States, n (%)8 (3.6)/99 (45.0)1 (1.2)/50 (59.5)Body mass index, mean, kg/m230.429.3Duration of disease, mean, y0.690.71Previous cDMARD use, n (%)143 (65.0)48 (57.0)Tender joint count (0–68), mean3.23.1Swollen joint count (0–66), mean2.62.8PhGA (VAS 0–100)a, mean43.939.0PtGA (VAS 0–100)a, mean51.345.6Patient’s Assessment of Pain (VAS 0–100)a, mean50.746.3Dactylitis present, n (%)32 (14.5)14 (16.7)Enthesitis present, n (%)72 (32.7)21 (25.0)BSA ≥3%, n (%)105 (47.7)34 (40.5)Nail involvement present, n (%)148 (67.3)53 (63.1)HAQ-DI (0–3)a, mean1.020.84HAQ-DI ≤0.5, n (%)56 (25.5)31 (36.9)PsAID-12 (0–10)a, mean4.733.98cDMARD, conventional disease-modifying antirheumatic drugs; VAS, visual analog scale.aHigher scores indicate greater burden/worse status. Early oligoarticular = ≤2 years in the initial protocol; ≤5 years in the current protocol for inclusion.Figure 1.FOREMOST population: baseline demographics and disease burden in the overall population and pts with involvement in small joints onlyConclusionIn FOREMOST, despite few joints involved, pts with early oligoarticular PsA experienced high disease burden and impaired quality of life. Small joint involvement, although less commonly expected in oligoarticular PsA, was the most frequently observed pattern.AcknowledgementsThe authors thank the patients, their families, and all investigators involved in this study. This study was funded by Amgen Inc. Writing support was funded by Amgen Inc. and provided by Kristin Carlin, BSPharm, MBA, of Peloton Advantage, LLC, an OPEN Health company, and Cathryn M. Carter, MS, employee of and stockholder in Amgen Inc.Disclosure of InterestsDafna D Gladman Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, and UCB – grant/research support or consulting fees, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, and UCB – grant/research support or consulting fees, Laura Coates Speakers bureau: AbbVie, Amgen, Biogen, Bristol Myers Squibb, Celgene Corporation, Eli Lilly, Galapagos, Gilead, GSK, Janssen, Medac, Moonlake, Novartis, Pfizer, and UCB –grant/research support, consulting fees, and/or speaker/honoraria, Consultant of: AbbVie, Amgen, Biogen, Bristol Myers Squibb, Celgene Corporation, Eli Lilly, Galapagos, Gilead, GSK, Janssen, Medac, Moonlake, Novartis, Pfizer, and UCB –grant/research support, consulting fees, and/or speaker/honoraria, Grant/research support from: AbbVie, Amgen, Biogen, Bristol Myers Squibb, Celgene Corporation, Eli Lilly, Galapagos, Gilead, GSK, Janssen, Medac, Moonlake, Novartis, Pfizer, and UCB –grant/research support, consulting fees, and/or speaker/honoraria, Laure Gossec Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Celgene Corporation, Galapagos, Gilead, GSK, Janssen, Lilly, Novartis, Pfizer, Samsung Bioepis, Sanofi-Aventis, and UCB, Grant/research support from: Amgen, Galapagos, Lilly, Pfizer, and Sandoz, Jacob Aelion Grant/research support from: AbbVie, Celgene, Eli Lilly and Regeneron – speakers bureau. AbbVie, Ardea Biosciences, AstraZeneca, Bristol Myers Squibb, Celgene, Centocor, Eli Lilly, Galapagos, Genentech, GlaxoSmithKline, Human Genome Sciences, Janssen, Merck, Mesoblast, Novartis, Novo Nordisk, Pfizer, Roche, Sanofi-Aventis, Takeda, UCB, and Vertex, Jitendra Vasandani: None declared, Sue Cheng Shareholder of: Stock ownership in Amgen Inc., Employee of: Employment by Amgen Inc., Lihua Tang Shareholder of: Stock ownership in Amgen Inc., Employee of: Employment by Amgen Inc., Shauna Jardon Shareholder of: Stock ownership in Amgen Inc., Employee of: Employment by Amgen Inc., Sven Richter Shareholder of: Stock ownership in Amgen at time of study, Employee of: Employment by Amgen at time of study., Philip J Mease Speakers bureau: AbbVie, Amgen, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, Sun, and UCB – grant/research support and consultant; Boehringer Ingelheim and GlaxoSmithKline – consultant, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, Sun, and UCB
Collapse
|
34
|
Ding M, Shi R, Cheng S, Li M, De D, Liu C, Gu X, Li J, Zhang S, Jia M, Fan R, Pei J, Fu F. Mfn2-mediated mitochondrial fusion alleviates doxorubicin-induced cardiotoxicity with enhancing its anticancer activity through metabolic switch. Redox Biol 2022; 52:102311. [PMID: 35413642 PMCID: PMC9006862 DOI: 10.1016/j.redox.2022.102311] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 03/31/2022] [Accepted: 04/02/2022] [Indexed: 02/09/2023] Open
Abstract
Imbalanced mitochondrial dynamics including inhibited mitochondrial fusion is associated with cardiac dysfunction as well as tumorigenesis. This study sought to explore the effects of promoting mitochondrial fusion on doxorubicin(Dox)-induced cardiotoxicity and its antitumor efficacy, with a focus on the underlying metabolic mechanisms. Herein, the inhibition of Mfn2-mediated mitochondrial fusion was identified as a key phenotype in Dox-induced cardiotoxicity. Restoration of Mfn2-mediated mitochondrial fusion enhanced mitochondrial oxidative metabolism, reduced cellular injury/apoptosis and inhibited mitochondria-derived oxidative stress in the Dox-treated cardiomyocytes. Application of lentivirus expressing Drp1 (mitochondrial fusion inhibitor) or Rote/Anti A (mitochondrial complex I/III inhibitors) blunted the above protective effects of Mfn2. Cardiac-specific Mfn2 transgenic mice showed preserved mitochondrial fusion and attenuated myocardial injury upon Dox exposure in vivo. The suppression of Mfn2-mediated mitochondrial fusion was induced by Dox-elicited upregulation of FoxO1, which inhibited the transcription of Mfn2 by binding to its promoter sites. In the B16 melanoma, Mfn2 upregulation not only attenuated tumor growth alone but also further delayed tumor growth in the presence of Dox. Mechanistically, Mfn2 synergized with the inhibitory action of Dox on glycolysis metabolism in the tumor cells. One common feature in both cardiomyocytes and tumor cells was that Mfn2 increased the ratio of oxygen consumption rate to extracellular acidification rate, suggesting Mfn2 triggered a shift from aerobic glycolysis to mitochondrial oxidative metabolism. In conclusion, targeting Mfn2-mediated mitochondrial fusion may provide a dual therapeutic advantage in Dox-based chemotherapy by simultaneously defending against Dox-induced cardiotoxicity and boosting its antitumor potency via metabolic shift. Dox exposure inhibits Mfn2-mediated mitochondrial fusion in the hearts. The reduction of Mfn2 is mediated by FoxO1 in a transcriptional manner. Mfn2 overexpression reduces Dox-induced injury and enhances its anticancer action. Mfn2 induces a shift from aerobic glycolysis to mitochondrial oxidative metabolism.
Collapse
|
35
|
Ding M, Shi R, Cheng S, Li M, De D, Liu C, Gu X, Li J, Zhang S, Jia M, Fan R, Pei J, Fu F. Corrigendum to "Mfn2-mediated mitochondrial fusion alleviates doxorubicin-induced cardiotoxicity with enhancing its anticancer activity through metabolic switch" [Redox Biol. 52 (2022) 1-16/102311]. Redox Biol 2022; 52:102315. [PMID: 35431146 PMCID: PMC9108085 DOI: 10.1016/j.redox.2022.102315] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Affiliation(s)
- Mingge Ding
- Department of Geriatrics Cardiology, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, China.
| | - Rui Shi
- Department of Geriatrics Cardiology, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, China; Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Shuli Cheng
- Dentofacial Development Management Center, Hospital of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, China
| | - Man Li
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China; School of Life Science, Northwest University, Xi'an, Shaanxi, 710069, China
| | - Dema De
- Department of Geriatrics Cardiology, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, China; Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Chaoyang Liu
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Xiaoming Gu
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Juan Li
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Shumiao Zhang
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Min Jia
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Rong Fan
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Jianming Pei
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
| | - Feng Fu
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
| |
Collapse
|
36
|
Tan C, Wang L, Cheng S. Image Super-Resolution via Dual-Level Recurrent Residual Networks. Sensors (Basel) 2022; 22:s22083058. [PMID: 35459043 PMCID: PMC9032326 DOI: 10.3390/s22083058] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/04/2022] [Accepted: 04/13/2022] [Indexed: 11/16/2022]
Abstract
Recently, the feedforward architecture of a super-resolution network based on deep learning was proposed to learn the representation of a low-resolution (LR) input and the non-linear mapping from these inputs to a high-resolution (HR) output, but this method cannot completely solve the interdependence between LR and HR images. In this paper, we retain the feedforward architecture and introduce residuals to a dual-level; therefore, we propose the dual-level recurrent residual network (DLRRN) to generate an HR image with rich details and satisfactory vision. Compared with feedforward networks that operate at a fixed spatial resolution, the dual-level recurrent residual block (DLRRB) in DLRRN utilizes both LR and HR space information. The circular signals in DLRRB enhance spatial details by the mutual guidance between two directions (LR to HR and HR to LR). Specifically, the LR information of the current layer is generated by the HR and LR information of the previous layer. Then, the HR information of the previous layer and LR information of the current layer jointly generate the HR information of the current layer, and so on. The proposed DLRRN has a strong ability for early reconstruction and can gradually restore the final high-resolution image. An extensive quantitative and qualitative evaluation of the benchmark dataset was carried out, and the experimental results proved that our network achieved good results in terms of network parameters, visual effects and objective performance metrics.
Collapse
Affiliation(s)
- Congming Tan
- College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China; (C.T.); (S.C.)
| | - Liejun Wang
- College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China; (C.T.); (S.C.)
- Correspondence: ; Tel.: +86-139-9981-6618
| | - Shuli Cheng
- College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China; (C.T.); (S.C.)
- College of Mathematics and System Science, Xinjiang University, Urumqi 830046, China
| |
Collapse
|
37
|
Ornello R, Baraldi C, Guerzoni S, Lambru G, Andreou AP, Raffaelli B, Gendolla A, Barbanti P, Aurilia C, Egeo G, Cevoli S, Favoni V, Vernieri F, Altamura C, Russo A, Silvestro M, Valle ED, Mancioli A, Ranieri A, Alfieri G, Latysheva N, Filatova E, Talbot J, Cheng S, Holle D, Scheffler A, Nežádal T, Čtrnáctá D, Šípková J, Matoušová Z, Casalena A, Maddestra M, Viola S, Affaitati G, Giamberardino MA, Pistoia F, Reuter U, Sacco S. Comparing the relative and absolute effect of erenumab: is a 50% response enough? Results from the ESTEEMen study. J Headache Pain 2022; 23:38. [PMID: 35305579 PMCID: PMC8933935 DOI: 10.1186/s10194-022-01408-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 03/03/2022] [Indexed: 12/22/2022] Open
Abstract
Background Monoclonal antibodies acting on the calcitonin gene-related peptide (CGRP) or its receptor have changed migraine preventive treatment. Those treatments have led to reconsidering the outcomes of migraine prevention. Available data mostly considered benefits in terms of relative efficacy (percent or absolute decrease in monthly migraine days [MMDs] or headache days compared with baseline). However, not enough attention has been paid to residual MMDs and/or migraine-related disability in treated patients. In the present study, we aimed at comparing the relative and absolute efficacy of erenumab. Methods ESTEEMen was a collaborative project among 16 European headache centers which already performed real-life data collections on patients treated with erenumab for at least 12 weeks. For the present study, we performed a subgroup analysis on patients with complete data on MMDs at baseline and at weeks 9-12 of treatment. Starting from efficacy thresholds proposed by previous literature, we classified patients into 0-29%, 30-49%, 50-74%, and ≥75% responders according to MMD decrease from baseline to weeks 9-12 of treatment. For each response category, we reported the median MMDs and Headache Impact test-6 (HIT-6) scores at baseline and at weeks 9-12. We categorized the number of residual MMDs at weeks 9-12 as follows: 0-3, 4-7, 8-14, ≥15. We classified HIT-6 score into four categories: ≤49, 50-55, 56-59, and ≥60. To keep in line with the original scope of the ESTEEMen study, calculations were performed in men and women. Results Out of 1215 patients, at weeks 9-12, 381 (31.4%) had a 0-29% response, 186 (15.3%) a 30-49% response, 396 (32.6%) a 50-74% response, and 252 (20.7%) a ≥75% response; 246 patients (20.2%) had 0-3 residual MMDs, 443 (36.5%) had 4-7 MMDs, 299 (24.6%) had 8-14 MMDs, and 227 (18.7%) had ≥15 MMDs. Among patients with 50-74% response, 246 (62.1%) had 4-7 and 94 (23.7%) 8-14 residual MMDs, while among patients with ≥75% response 187 (74.2%) had 0-3 and 65 (25.8%) had 4-7 residual MMDs. Conclusions The present study shows that even patients with good relative response to erenumab may have a clinically non-negligible residual migraine burden. Relative measures of efficacy cannot be enough to thoroughly consider the efficacy of migraine prevention. Supplementary Information The online version contains supplementary material available at 10.1186/s10194-022-01408-w.
Collapse
Affiliation(s)
- Raffaele Ornello
- Neuroscience Section, Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, Via Vetoio 1, L'Aquila, Italy
| | - Carlo Baraldi
- PhD school in neurosciences; Department of biomedical, metabolic and neural sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Simona Guerzoni
- Medical toxicology - Headache and Drug Abuse Research Center; Department of biomedical, metabolic and neural sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Giorgio Lambru
- The Headache Service, Guy's and St Thomas' NHS Foundation Trust, Westminster Bridge Road, London, SE1 7EH, UK
| | - Anna P Andreou
- The Headache Service, Guy's and St Thomas' NHS Foundation Trust, Westminster Bridge Road, London, SE1 7EH, UK
| | - Bianca Raffaelli
- Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | | | - Piero Barbanti
- Headache and Pain Unit, IRCCS San Raffaele, Rome, Italy.,San Raffaele University, Rome, Italy
| | | | | | - Sabina Cevoli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Valentina Favoni
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Fabrizio Vernieri
- Headache and Neurosonology Unit, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy
| | - Claudia Altamura
- Headache and Neurosonology Unit, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy
| | - Antonio Russo
- Headache Center, Department of Medical, Surgical, Neurological, Metabolic, and Aging Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Marcello Silvestro
- Headache Center, Department of Medical, Surgical, Neurological, Metabolic, and Aging Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | | | - Andrea Mancioli
- Headache Centre, Ospedale S. Antonio Abate, ASST Valle Olona, Gallarate, Italy
| | - Angelo Ranieri
- Headache Centre, Division of Neurology and Stroke Unit, "A. Cardarelli" Hospital, Naples, Italy
| | - Gennaro Alfieri
- Headache Centre, Division of Neurology and Stroke Unit, "A. Cardarelli" Hospital, Naples, Italy
| | - Nina Latysheva
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation
| | - Elena Filatova
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation
| | - Jamie Talbot
- Southwest Neurology Audit and Research group (SoNAR), Department of Neurology, Derriford Hospital, Plymouth, PL6 8DH, UK
| | - Shuli Cheng
- Department of Neurology, Alfred Health, Melbourne, VIC, Australia
| | - Dagny Holle
- Department of Neurology, West German Headache Center, University hospital Essen, Essen, Germany
| | - Armin Scheffler
- Department of Neurology, West German Headache Center, University hospital Essen, Essen, Germany
| | - Tomáš Nežádal
- Military University Hospital Prague, Department of Neurology, 1st Faculty of Medicine Charles University, Prague, Czech Republic
| | - Dana Čtrnáctá
- Military University Hospital Prague, Department of Neurology, 1st Faculty of Medicine Charles University, Prague, Czech Republic
| | - Jitka Šípková
- Military University Hospital Prague, Department of Neurology, 1st Faculty of Medicine Charles University, Prague, Czech Republic
| | - Zuzana Matoušová
- Motol University Hospital Prague, Department of Neurology, 2nd Faculty of Medicine Charles University, Prague, Czech Republic
| | | | - Maurizio Maddestra
- Department of Neurology, "F. Renzetti" Hospital, Lanciano, Chieti, Italy
| | - Stefano Viola
- Department of Neurology, "S. Pio da Pietrelcina" Hospital, Vasto, Chieti, Italy
| | - Giannapia Affaitati
- Headache Center, Geriatrics Clinic, Department of Medicine and Science of Aging and Center for Advanced Studies and Technology (CAST), G. D'Annunzio University, Chieti, Italy
| | - Maria Adele Giamberardino
- Headache Center, Geriatrics Clinic, Department of Medicine and Science of Aging and Center for Advanced Studies and Technology (CAST), G. D'Annunzio University, Chieti, Italy
| | - Francesca Pistoia
- Neuroscience Section, Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, Via Vetoio 1, L'Aquila, Italy
| | - Uwe Reuter
- Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Universitätsmedizin Greifswald, Greifswald, Germany
| | - Simona Sacco
- Neuroscience Section, Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, Via Vetoio 1, L'Aquila, Italy.
| |
Collapse
|
38
|
Ray JC, Cheng S, Tsan K, Hussain H, Stark RJ, Matharu MS, Hutton E. Intravenous Lidocaine and Ketamine Infusions for Headache Disorders: A Retrospective Cohort Study. Front Neurol 2022; 13:842082. [PMID: 35356451 PMCID: PMC8959588 DOI: 10.3389/fneur.2022.842082] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 02/07/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction The use of lidocaine (lignocaine) and ketamine infusion in the inpatient treatment of patients with headache disorders is supported by small case series. We undertook a retrospective cohort study in order to assess the efficacy, duration and safety of lidocaine and ketamine infusions. Methods Patients admitted between 01/01/2018 and 31/07/2021 were identified by ICD code and electronic prescription. Efficacy of infusion was determined by reduction in visual analog score (VAS), and patient demographics were collected from review of the hospital electronic medical record. Results Through the study period, 83 infusions (50 lidocaine, 33 ketamine) were initiated for a headache disorder (77 migraine, three NDPH, two SUNCT, one cluster headache). In migraine, lidocaine infusion achieved a ≥50% reduction in pain in 51.1% over a mean 6.2 days (SD 2.4). Ketamine infusion was associated with a ≥50% reduction in pain in 34.4% over a mean 5.1 days (SD 1.5). Side effects were observed in 32 and 42.4% respectively. Infusion for medication overuse headache (MOH) led to successful withdrawal of analgesia in 61.1% of lidocaine, and 41.7% of ketamine infusions. Conclusion Lidocaine and ketamine infusions are an efficacious inpatient treatment for headache disorders, however associated with prolonged length-of-stay and possible side-effects.
Collapse
Affiliation(s)
- Jason C. Ray
- Department of Neurology, Austin Health, Melbourne, VIC, Australia
- Department of Neurology, Alfred Hospital, Melbourne, VIC, Australia
- Department of Neuroscience, Monash University, Melbourne, VIC, Australia
- *Correspondence: Jason C. Ray
| | - Shuli Cheng
- Department of Neurology, Alfred Hospital, Melbourne, VIC, Australia
| | - Kirsten Tsan
- School of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Hassan Hussain
- School of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Richard J. Stark
- Department of Neurology, Alfred Hospital, Melbourne, VIC, Australia
- Department of Neuroscience, Monash University, Melbourne, VIC, Australia
| | - Manjit S. Matharu
- Headache and Facial Pain Group, University College London Queen Square Institute of Neurology, National Hospital for Neurology and Neurosurgery, London, United Kingdom
- Headache and Facial Pain Group, University College London, London, United Kingdom
| | - Elspeth Hutton
- Department of Neurology, Alfred Hospital, Melbourne, VIC, Australia
- Department of Neuroscience, Monash University, Melbourne, VIC, Australia
| |
Collapse
|
39
|
Tang XJ, Duan LJ, Liang WL, Cheng S, Dong TL, Xie Z, Liu KM, Yu F, Chen ZH, Mi GD, Liang L, Yan HJ, Chen L, Lin L, Kang DM, Fu XB, Qiu MF, Jiang Z, Xu ZY, Wu Z. [Application of limiting antigen avidity enzyme immunoassay for estimating HIV-1 incidence in men who have sex with men]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:72-77. [PMID: 35130655 DOI: 10.3760/cma.j.cn112338-20210609-00463] [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] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To estimate the incidence of HIV-1 infection in men who have sex with men (MSM) in key areas of China through HIV-1 limiting antigen avidity enzyme immunoassay (LAg-Avidity EIA), analyze the deviation from the actual results and identify influencing factors, and provided reference for improving the accuracy of estimation results. Methods: Based on the principle of the cohort randomized study design, 20 cities were selected in China based on population size and the number of HIV-positive MSM. The sample size was estimated to be 700 according to the HIV-1 infection rate in MSM. MSM mobile phone app. was used to establish a detection appointment and questionnaire system, and the baseline cross-sectional survey was conducted from April to November 2019. LAg-Avidity EIA was used to identify the recent infected samples. The incidence of HIV-1 infection was calculated and then adjusted based on the estimation formula designed by WHO. The influencing factors were identified by analyzing the sample collection and detection processes. Results: Among the 10 650 blood samples from the participants, 799 were HIV-positive in initial screening, in which 198 samples (24.78%) missed during confirmation test. Only 621 samples were received by the laboratory. After excluding misreported samples, 520 samples were qualified for testing. A total of 155 samples were eventually determined as recent infection through LAg-Avidity EIA; Based on the estimation formula , the incidence of HIV-1 infection in MSM in 20 cities was 4.06% (95%CI:3.27%-4.85%), it increased to 5.53% (95%CI: 4.45%-6.60%)after the adjusting for sample missing rate. When the sample missing rate and misreporting rate were both adjusted, the incidence of HIV-1 infection in the MSM increased to 5.66% (95%CI:4.67%-6.65%). The actual incidence of HIV-1 infection in MSM in the 20 cities might be between 4.06% and 5.66%. Conclusions: Sample missing and misreporting might cause the deviation of the estimation of HIV-1 infection incidence. It is important to ensure the sample source and the quality of sample collection and detection to reduce the deviation in the estimation of HIV-1 infection incidence.
Collapse
Affiliation(s)
- X J Tang
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - L J Duan
- National HIV/AIDS Reference Laboratory, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - W L Liang
- National HIV/AIDS Reference Laboratory, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - S Cheng
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - T L Dong
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z Xie
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - K M Liu
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - F Yu
- Danlan Beijing Media Limited, Beijing 100020, China
| | - Z H Chen
- Danlan Beijing Media Limited, Beijing 100020, China
| | - G D Mi
- Danlan Beijing Media Limited, Beijing 100020, China
| | - L Liang
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang 050021, China
| | - H J Yan
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - L Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - L Lin
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350001, China
| | - D M Kang
- Shandong Provincial Center for Disease Control and Prevention, Ji'nan 250014, China
| | - X B Fu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - M F Qiu
- National HIV/AIDS Reference Laboratory, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z Jiang
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z Y Xu
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Zunyou Wu
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| |
Collapse
|
40
|
Ornello R, Baraldi C, Guerzoni S, Lambru G, Fuccaro M, Raffaelli B, Gendolla A, Barbanti P, Aurilia C, Cevoli S, Favoni V, Vernieri F, Altamura C, Russo A, Silvestro M, Dalla Valle E, Mancioli A, Ranieri A, Alfieri G, Latysheva N, Filatova E, Talbot J, Cheng S, Holle D, Scheffler A, Nežádal T, Čtrnáctá D, Šípková J, Matoušová Z, Sette L, Casalena A, Maddestra M, Viola S, Affaitati G, Giamberardino MA, Pistoia F, Reuter U, Sacco S. Gender Differences in 3-Month Outcomes of Erenumab Treatment-Study on Efficacy and Safety of Treatment With Erenumab in Men. Front Neurol 2022; 12:774341. [PMID: 34975732 PMCID: PMC8717149 DOI: 10.3389/fneur.2021.774341] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 11/02/2021] [Indexed: 11/21/2022] Open
Abstract
Objective: We reported gender-specific data on the efficacy and safety of erenumab, a monoclonal antibody antagonizing the calcitonin gene-related peptide (CGRP) receptor. Methods: Our pooled patient-level analysis of real-world data included patients treated with erenumab and followed up for 12 weeks. We considered the following outcomes at weeks 9–12 of treatment compared with baseline: 0–29%, 30–49%, 50–75%, and ≥75% responder rates, according to the decrease in monthly headache days (MHDs), rate of treatment stopping, change in MHDs, monthly migraine days (MMDs), monthly days of acute medication and triptan use, and Headache Impact Test-6 (HIT-6) score from baseline to weeks 9–12. Outcomes were compared between men and women by the chi-squared test or t-test, as appropriate. An analysis of covariance (ANCOVA) was performed to identify factors influencing the efficacy outcomes. Results: We included 1,410 patients from 16 centers, of which 256 (18.2%) were men. Men were older than women and had a lower number of MHDs at baseline. At weeks 9–12, compared with baseline, 46 (18.0%) men had a ≥75% response, 75 (29.3%) had a 50–74% response, 35 (13.7%) had a 30–49% response, and 86 (33.6%) had a 0–29% response, while 14 (5.5%) stopped the treatment. The corresponding numbers for women were 220 (19.1%), 314 (27.2%), 139 (12.0%), 402 (34.8%), and 79 (6.8%). No gender difference was found in any of the outcomes. The ANCOVA showed that gender did not influence the efficacy of outcomes. Conclusion: We found that erenumab is equally safe and effective in men compared with women after 12 weeks.
Collapse
Affiliation(s)
- Raffaele Ornello
- Neuroscience Section, Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy
| | - Carlo Baraldi
- Department of Biomedical, Metabolic and Neural Sciences, School in Neurosciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Simona Guerzoni
- Medical Toxicology - Headache and Drug Abuse Research Center, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Giorgio Lambru
- The Headache Service, Guy's and St Thomas' National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Matteo Fuccaro
- The Headache Service, Guy's and St Thomas' National Health Service (NHS) Foundation Trust, London, United Kingdom
| | - Bianca Raffaelli
- Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | | | - Piero Barbanti
- Headache and Pain Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele, Rome, Italy.,San Raffaele University, Rome, Italy
| | - Cinzia Aurilia
- Headache and Pain Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele, Rome, Italy
| | - Sabina Cevoli
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Valentina Favoni
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Fabrizio Vernieri
- Headache and Neurosonology Unit, Policlinico Universitario Campus Bio-Medico, Rome, Italy
| | - Claudia Altamura
- Headache and Neurosonology Unit, Policlinico Universitario Campus Bio-Medico, Rome, Italy
| | - Antonio Russo
- Headache Center, Department of Medical, Surgical, Neurological, Metabolic, and Aging Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Marcello Silvestro
- Headache Center, Department of Medical, Surgical, Neurological, Metabolic, and Aging Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | | | - Andrea Mancioli
- Headache Centre, Ospedale S. Antonio Abate, ASST Valle Olona, Gallarate, Italy
| | - Angelo Ranieri
- Headache Centre, Division of Neurology and Stroke Unit, "A. Cardarelli" Hospital, Naples, Italy
| | - Gennaro Alfieri
- Headache Centre, Division of Neurology and Stroke Unit, "A. Cardarelli" Hospital, Naples, Italy
| | - Nina Latysheva
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Elena Filatova
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Jamie Talbot
- Southwest Neurology Audit and Research Group, Department of Neurology, Derriford Hospital, Plymouth, United Kingdom
| | - Shuli Cheng
- Department of Neurology, Alfred Health, Melbourne, VIC, Australia
| | - Dagny Holle
- Department of Neurology, West German Headache Center, University Hospital Essen, Essen, Germany
| | - Armin Scheffler
- Department of Neurology, West German Headache Center, University Hospital Essen, Essen, Germany
| | - Tomáš Nežádal
- Department of Neurology, Military University Hospital Prague, First Faculty of Medicine Charles University, Prague, Czechia
| | - Dana Čtrnáctá
- Department of Neurology, Military University Hospital Prague, First Faculty of Medicine Charles University, Prague, Czechia
| | - Jitka Šípková
- Department of Neurology, Military University Hospital Prague, First Faculty of Medicine Charles University, Prague, Czechia
| | - Zuzana Matoušová
- Department of Neurology, Motol University Hospital Prague, First Faculty of Medicine Charles University, Prague, Czechia
| | - Lucia Sette
- Neuroscience Section, Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy
| | | | | | - Stefano Viola
- Department of Neurology, "S. Pio da Pietrelcina" Hospital, Chieti, Italy
| | - Giannapia Affaitati
- Headache Center, Geriatrics Clinic, Department of Medicine and Science of Aging and Center for Advanced Studies and Technology, G. D'Annunzio University, Chieti, Italy
| | - Maria Adele Giamberardino
- Headache Center, Geriatrics Clinic, Department of Medicine and Science of Aging and Center for Advanced Studies and Technology, G. D'Annunzio University, Chieti, Italy
| | - Francesca Pistoia
- Neuroscience Section, Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy
| | - Uwe Reuter
- The Headache Service, Guy's and St Thomas' National Health Service (NHS) Foundation Trust, London, United Kingdom.,Universitätsmedizin Greifswald, Greifswald, Germany
| | - Simona Sacco
- Neuroscience Section, Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy
| |
Collapse
|
41
|
Tan C, Cheng S, Wang L. Efficient Image Super-Resolution via Self-Calibrated Feature Fuse. Sensors (Basel) 2022; 22:s22010329. [PMID: 35009871 PMCID: PMC8749868 DOI: 10.3390/s22010329] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 12/29/2021] [Accepted: 12/31/2021] [Indexed: 12/10/2022]
Abstract
Recently, many super-resolution reconstruction (SR) feedforward networks based on deep learning have been proposed. These networks enable the reconstructed images to achieve convincing results. However, due to a large amount of computation and parameters, SR technology is greatly limited in devices with limited computing power. To trade-off the network performance and network parameters. In this paper, we propose the efficient image super-resolution network via Self-Calibrated Feature Fuse, named SCFFN, by constructing the self-calibrated feature fuse block (SCFFB). Specifically, to recover the high-frequency detail information of the image as much as possible, we propose SCFFB by self-transformation and self-fusion of features. In addition, to accelerate the network training while reducing the computational complexity of the network, we employ an attention mechanism to elaborate the reconstruction part of the network, called U-SCA. Compared with the existing transposed convolution, it can greatly reduce the computation burden of the network without reducing the reconstruction effect. We have conducted full quantitative and qualitative experiments on public datasets, and the experimental results show that the network achieves comparable performance to other networks, while we only need fewer parameters and computational resources.
Collapse
Affiliation(s)
- Congming Tan
- College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China; (C.T.); (L.W.)
| | - Shuli Cheng
- College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China; (C.T.); (L.W.)
- College of Mathematics and System Science, Xinjiang University, Urumqi 830046, China
- Correspondence: ; Tel.: +86-182-9085-7626
| | - Liejun Wang
- College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China; (C.T.); (L.W.)
| |
Collapse
|
42
|
Liu L, Cheng B, Ye J, Qi X, Cheng S, Meng P, Chen Y, Yang X, Yao Y, Zhang H, Zhang Z, Zhang J, Li C, Pan C, Wen Y, Jia Y, Zhang F. Understanding the Complex Interactions between Coffee, Tea Intake and Neurologically Relevant Tissues Proteins in the Development of Anxiety and Depression. J Nutr Health Aging 2022; 26:1070-1077. [PMID: 36519770 DOI: 10.1007/s12603-022-1869-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Coffee and tea intake might be associated with psychiatry diseases. However, it is unclear whether the effect of coffee/tea on anxiety and depression depending on the different types of proteins. DESIGN This was a cross-sectional study. SETTING Our datasets were downloaded from online. PARTICIPANTS Phenotypic and genotypic data for coffee intake(N=376,196) and tea intake (N=376,078) were derived from UK Biobank. GWAS data of proteins (N=1,537) from neurologically relevant tissues (brain, cerebrospinal fluid (CSF) and plasma) were obtained from a recently published study. MEASUREMENTS Multivariate linear analysis was then used to evaluate the potential interaction effect between coffee/tea intake and proteins polygenetic risk score (PRS) on the risks of anxiety and depression controlling for age, sex, Townsend deprivation index (TDI), smoke, drinking and education level. RESULTS 34 coffee intake-proteins interactions and 15 tea intake-proteins interactions were observed in anxiety individuals, such as coffee intake-c-Jun interaction (β=0.0169, P=4.131×10-3), coffee intake-Fas interaction (β=-0.0190, P=8.132×10-4), tea intake-sL-Selectin interaction (β=0.0112, P=5.412×10-3) and tea intake-IL-1F6 (β=0.0083, P=4.471×10-2). 25 coffee intake-proteins and 14 tea intake-proteins interactions were observed in depression individuals, including coffee intake- IL-1 sRI (β=0.0171, P=4.888×10-3) and coffee intake-NXPH1 interaction (β=0.0156, P=9.819×10-3), tea intake-COLEC12 interaction (β=0.0127, P=3.280×10-3), and tea intake-Layilin interaction (β=0.0117, P=7.926×10-3). CONCLUSIONS Our results suggested the important role of multiple proteins in neurologically relevant tissues in the associations between coffee/tea intake and psychiatry diseases, providing entry points to explore the mechanisms underlying anxiety and depression.
Collapse
Affiliation(s)
- L Liu
- Feng Zhang, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P. R. China 710061,
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
43
|
Cheng S, Nair J, Thomas R, Greenland C, Weerasooriya S. A Prospective Cohort Study Evaluating the Prevalence of Familial Hypercholesterolaemia Amongst Cardiac Inpatients in Far North Queensland. Heart Lung Circ 2022. [DOI: 10.1016/j.hlc.2022.06.470] [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: 10/16/2022]
|
44
|
Abstract
With the increase of patients with retinopathy, retinopathy recognition has become a research hotspot. In this article, we describe the etiology and symptoms of three kinds of retinal diseases, including drusen(DRUSEN), choroidal neovascularization(CNV) and diabetic macular edema(DME). In addition, we also propose a hybrid attention mechanism to classify and recognize different types of retinopathy images. In particular, the hybrid attention mechanism proposed in this paper includes parallel spatial attention mechanism and channel attention mechanism. It can extract the key features in the channel dimension and spatial dimension of retinopathy images, and reduce the negative impact of background information on classification results. The experimental results show that the hybrid attention mechanism proposed in this paper can better assist the network to focus on extracting thr fetures of the retinopathy area and enhance the adaptability to the differences of different data sets. Finally, the hybrid attention mechanism achieved 96.5% and 99.76% classification accuracy on two public OCT data sets of retinopathy, respectively.
Collapse
Affiliation(s)
- Lianghui Xu
- College of Information Science and Engineering, Xinjiang University, Urumqi, China
| | - Liejun Wang
- College of Information Science and Engineering, Xinjiang University, Urumqi, China
- * E-mail:
| | - Shuli Cheng
- College of Information Science and Engineering, Xinjiang University, Urumqi, China
| | - Yongming Li
- College of Information Science and Engineering, Xinjiang University, Urumqi, China
| |
Collapse
|
45
|
Gunther J, Yang J, Hajj C, Ng A, Brady J, Cheng S, Levis M, Qi S, Mikhaeel G, Ricardi U, Illidge T, Turin A, Knafl M, Specht L, Dabaja B, Yahalom J. Efficacy and Toxicity of Alternative Radiation Treatment Schemes for Patients With Hematologic Malignancies: A Collaborative ILROG COVID Era Report. Int J Radiat Oncol Biol Phys 2021. [PMCID: PMC8536223 DOI: 10.1016/j.ijrobp.2021.07.961] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Purpose/Objective(s) The COVID19 pandemic required radiation oncologists (ROs) to consider shorter treatment courses to minimize patient and staff exposure and conserve healthcare resources. Hematologic ROs adopted hypofractionated radiation therapy (hRT) regimens according to guidelines published by the International Lymphoma Radiation Oncology Group (ILROG). We report for the first time the preliminary efficacy and toxicity of these novel hypofractionated regimens in the treatment of hematologic malignancies. Materials/Methods We conducted a multicenter, multinational retrospective study under the direction of the ILROG. All patients receiving hRT according to ILROG guidelines from 1/1/2020 to 8/31/2020 were included. Patient and treatment details were abstracted from separate institutional databases. Toxicity was graded using CTCAE v5.0. Results Ninety-three patients from 4 institutions treated with 114 RT courses were included. Patient and treatment details are displayed in Table 1. Median follow up for the cohort was 179 days, and 77 patients (82%) were alive at last follow up. Maximal toxicity experienced by patients included Grade 1 (n = 16), Grade 2 (n = 1) and Grade 3 (n = 1) toxicities. Of 80 sites with response assessment within the RT field, 69% of patients achieved a complete response (n = 55), 20% partial response (n = 16), 9% stable disease (n = 7), and 2% progressive disease (n = 2). No COVID19 infections during or after RT have been documented in this patient cohort. Conclusion HRT according to ILROG guidelines resulted in low rates of acute toxicity and reasonable short-term treatment efficacy. Longer follow up and comparison with control groups is needed to draw more definitive conclusions and will be presented at the Annual Meeting.
Collapse
|
46
|
Feng H, Wang L, Cheng S, Du A, Li Y. Dynamic dual attention iterative network for image super-resolution. APPL INTELL 2021. [DOI: 10.1007/s10489-021-02816-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
47
|
Cheng S, Diao F, Han MJ, Liu FH, Cao HH, Xu HF, Cao XB. [Analysis of factors related to the online social interaction and causal sexual behaviors among foreigners in Guangzhou]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1850-1854. [PMID: 34814623 DOI: 10.3760/cma.j.cn112338-20210406-00283] [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: 06/13/2023]
Abstract
Objective: To understand the social support, social network, and sexual behavior characteristics of foreigners living in Guangzhou, analyze factors relating to aspects of online social interactions and sexual behaviors of foreigners in Guangzhou, and provide references for targeted HIV intervention services for foreigners. Methods: A cross-sectional survey (both online and offline), among those who met the inclusion criteria was conducted between November 2019 and January 2020. Data were collected on demographics, social support, online social interactions, sexual behaviors, and so on. Statistics were compiled to analyze the factors that may influence casual sexual behaviors. Results: A total of 434 participants were included in the study (241 offline and 193 online). The majority of the participants were male 68.4% (297/434), age (31.0±8.8) years old, African 79.0% (343/434), business people 46.5% (202/434), students 48.2% (209/434), who have business partners and family members in China were 59.4% (258/434) and 28.1% (122/434) separately. They also had the following features: less than 10 close friends 57.1% (248/434); spend 1-3 hours on social applications per day 43.3% (188/434), had casual sexual behaviors in the last 3 months 15.2% (55/363). Multiple logistic regression model analysis showed that compared with those who used social applications for less than 1 hour per day, participants who used social applications for more than 6 hours per day were more likely to have casual sexual behaviors in the last 3 months (OR=3.63, 95%CI: 1.31-10.08). Conclusions: Participants who used social applications for a longer period every day were more likely to have casual sexual behaviors among foreigners in Guangzhou. Good use of social applications for health promotion and education of HIV can increase the health awareness of foreigners in China.
Collapse
Affiliation(s)
- S Cheng
- National Center for HIV/AIDS Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - F Diao
- Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - M J Han
- National Center for HIV/AIDS Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - F H Liu
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
| | - H H Cao
- The Third Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou 510410, China
| | - H F Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - X B Cao
- National Center for HIV/AIDS Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China Chinese Center for Disease Control and Prevention, Beijing 102206, China
| |
Collapse
|
48
|
Herman J, Schmid S, Zhan L, Garcia M, Brown M, Khan K, Chowdhury M, Sabouhanian A, Walia P, Strom E, Sacher A, Bradbury P, Shepherd F, Leighl N, Cheng S, Patel D, Shultz D, Liu G. FP12.07 Clinico-demographic Factors, EGFR status and their association with Stage at Diagnosis in Lung Adenocarcinoma Patients. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
49
|
Schmid S, Chotai S, Cheng S, Zhan L, Balaratnam K, Khan K, Patel D, Brown M, Xu W, Moriarty P, Kaidanovich-Beilin O, Shepherd F, Sacher A, Leighl N, Bradbury P, Liu G. MA08.02 Outcomes of Early Stage ALK-positive NSCLC patients in a Real-World Cohort. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
50
|
Chotai S, Schmid S, Cheng S, Zhan L, Balaratnam K, Khan K, Patel D, Brown M, Xu W, Moriarty P, Kaidanovich-Beilin O, Shepherd F, Sacher A, Leighl N, Bradbury P, Liu G. P45.09 Real-World Sequencing of ALK-TKIs in Advanced Stage ALK-positive NSCLC patients in Canada. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|