1
|
Xu C, Li X, Zhang X, Wu R, Zhou Y, Zhao Q, Zhang Y, Geng S, Gu Y, Hong S. Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning. Health Inf Sci Syst 2024; 12:2. [PMID: 38045019 PMCID: PMC10692066 DOI: 10.1007/s13755-023-00249-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 09/20/2023] [Indexed: 12/05/2023] Open
Abstract
Cardiovascular disease (CVDs) has become one of the leading causes of death, posing a significant threat to human life. The development of reliable Artificial Intelligence (AI) assisted diagnosis algorithms for cardiac sounds is of great significance for early detection and treatment of CVDs. However, there is scarce research in this field. Existing research mainly faces three major challenges: (1) They mainly limited to murmur classification and cannot achieve murmur grading, but attempting both classification and grading may lead to negative effects between different multi-tasks. (2) They mostly pay attention to unstructured cardiac sound modality and do not consider the structured demographic modality, as it is difficult to balance the influence of heterogeneous modalities. (3) Deep learning methods lack interpretability, which makes it challenging to apply them clinically. To tackle these challenges, we propose a method for cardiac murmur grading and cardiac risk analysis based on heterogeneous modality adaptive multi-task learning. Specifically, a Hierarchical Multi-Task learning-based cardiac murmur detection and grading method (HMT) is proposed to prevent negative interference between different tasks. In addition, a cardiac risk analysis method based on Heterogeneous Multi-modal feature impact Adaptation (HMA) is also proposed, which transforms unstructured modality into structured modality representation, and utilizes an adaptive mode weight learning mechanism to balance the impact between unstructured modality and structured modality, thus enhancing the performance of cardiac risk prediction. Finally, we propose a multi-task interpretability learning module that incorporates an important evaluation using random masks. This module utilizes SHAP graphs to visualize crucial murmur segments in cardiac sound and employs a multi-factor risk decoupling model based on nomograms. And then we gain insights into the cardiac disease risk in both pre-decoupled multi-modality and post-decoupled single-modality scenarios, thus providing a solid foundation for AI assisted cardiac murmur grading and risk analysis. Experimental results on a large real-world CirCor DigiScope PCG dataset demonstrate that the proposed method outperforms the state-of-the-art (SOTA) method in murmur detection, grading, and cardiac risk analysis, while also providing valuable diagnostic evidence.
Collapse
Affiliation(s)
- Chenyang Xu
- Department of Computer Science, Tianjin University of Technology, Tianjin, China
| | - Xin Li
- Department of Rehabilitation Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Xinyue Zhang
- Department of Computer Science, Tianjin University of Technology, Tianjin, China
| | - Ruilin Wu
- Department of Computer Science, Tianjin University of Technology, Tianjin, China
| | - Yuxi Zhou
- Department of Computer Science, Tianjin University of Technology, Tianjin, China
- DCST, BNRist, RIIT, Institute of Internet Industry, Tsinghua University, Beijing, China
| | - Qinghao Zhao
- Department of Cardiology, Peking University People’s Hospital, Beijing, China
| | - Yong Zhang
- DCST, BNRist, RIIT, Institute of Internet Industry, Tsinghua University, Beijing, China
| | | | - Yue Gu
- Department of Computer Science, Tianjin University of Technology, Tianjin, China
| | - Shenda Hong
- National Institute of Health Data Science, Peking University, Beijing, China
- Institute of Medical Technology, Peking University, Beijing, China
| |
Collapse
|
2
|
Duan Z, Ye Y, Li Z, Zhang B, Liu Q, Zhao Z, Wang W, Yu Z, Zhang H, Zhao Q, Wang B, Lv J, Guo S, Ren H, Gao R, Xu H, Wu Y. Contemporary spectrum, characteristics, and outcomes of adult patients with rheumatic valvular disease in China: Insights from the China-VHD study. Int J Cardiol Cardiovasc Risk Prev 2024; 21:200259. [PMID: 38525097 PMCID: PMC10957411 DOI: 10.1016/j.ijcrp.2024.200259] [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] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 02/28/2024] [Accepted: 03/07/2024] [Indexed: 03/26/2024]
Abstract
Background Rheumatic valvular disease (RVD) represents a significant health concern in developing countries, yet a scarcity of detailed data exists. This study conducts a comprehensive examination of RVD patients in China, exploring aspects of the disease's spectrum, characteristics, investigation, management, and outcomes. Methods The China Valvular Heart Disease (China-VHD) study, a nationwide, multicenter, prospective observational study, enrolled 13,917 adults with moderate-to-severe valvular heart disease from April to June 2018. Among these, 2402 patients with native RVD (19.7% of native VHD patients) were analyzed. Results Among the RVD patients, the median age was 57 years (interquartile range 50-65), with 82.5% falling within the 40-70 age range; females were notably predominant (63.9%). Rheumatic etiology prevailed, particularly in southern regions (48.8%). Multivalvular involvement was observed in 47.4% of RVD cases, and atrial fibrillation emerged as the most common comorbidity (43.2%). Severe RVD affected 64.2% of patients. Valvular interventions were undertaken by 66.9% of RVD patients, predominantly involving surgical valve replacement (90.8%). Adverse events, encompassing all-cause mortality and heart failure hospitalization, occurred in 7.3% of patients during the 2-year follow-up. Multivariable analysis identified factors such as age, geographical region, low body mass index, renal insufficiency, left atrial diameter, and left ventricular ejection fraction <50% (all P < 0.05) associated with adverse events, with valvular intervention emerging as a protective factor (HR: 0.201; 95%CI: 0.139 to 0.291; p < 0.001). Conclusions This study delivers a comprehensive evaluation of RVD patients in China, shedding light on the spectrum, characteristics, investigation, management, and outcomes of this prevalent condition.
Collapse
Affiliation(s)
- Zhenya Duan
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Yunqing Ye
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Zhe Li
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Bin Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Qingrong Liu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Zhenyan Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Weiwei Wang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Zikai Yu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Haitong Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Qinghao Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Bincheng Wang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Junxing Lv
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Shuai Guo
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Haocheng Ren
- Medical Research & Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Runlin Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Haiyan Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| | - Yongjian Wu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Beijing 100037, China
| |
Collapse
|
3
|
Liu Z, Chen J, Fang D, Xu Y, Zhou X, Zheng Z, Zhang Z, Fan C, Luo S, Liu Z, Li Q, Zhao Q. Anatomical Observation and Clinical Significance of the Medial Branch of the Lumbar Dorsal Rami. Spine (Phila Pa 1976) 2024; 49:E164-E172. [PMID: 38420729 DOI: 10.1097/brs.0000000000004975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 02/20/2024] [Indexed: 03/02/2024]
Abstract
STUDY DESIGN Anatomical study. OBJECTIVE This study aimed to elaborate on the anatomical characteristics of the medial branch of the lumbar dorsal rami and to discuss its possible clinical significance. SUMMARY OF BACKGROUND DATA Radiofrequency ablation targeting the medial branch of the lumbar dorsal rami has been increasingly used in the clinical management of facetogenic low back pain (FLBP). Nonetheless, attention is also being given to complications such as atrophy of the lumbar soft tissues and muscles. Therefore, a more detailed understanding of the innervation pattern on the facet joint may improve the precision of nerve ablation therapy for FLBP. METHODS An anatomical study of eight human specimens was carried out. The anatomic characteristics of the medial branch were observed and recorded. RESULTS The medial branch originates from the lumbar dorsal rami, running close to the root of the posterolateral side of the superior articular process of the inferior cone. When passed through the mamillo-accessory ligament, it turns direction to the medial and caudal side, running in the multifidus muscle. In our study, each medial branch sent out two to five branches along the way. All the medial branches in L1-L4 gave off one to two small branches when crossing the facet joint and innervated the joint of the lower segment. Nineteen medial branches (23.75%) gave off recurrent branches to innervate the joint at the upper segment. CONCLUSION The anatomical features of the medial branch remain similar in each lumbar segment. There are two types of joint branches, including the articular fibers that emanate from the medial branch as it runs along the medial border of the facet joint and the recurrent branch from the medial branch that innervates the upper facet joint. Moreover, an anastomotic branch was found in the medial branches between different segments.
Collapse
Affiliation(s)
- Zexian Liu
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China
| | - Junjie Chen
- The Spine Department, Orthopaedic Center, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Duopei Fang
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China
| | - Yejie Xu
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China
| | - Xinying Zhou
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China
| | - Zhiyang Zheng
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China
| | - Zhenfeng Zhang
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China
| | - Chaohui Fan
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China
| | - Shiwen Luo
- Department of Anatomy, School of the Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
| | - Zezheng Liu
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China
| | - Qingchu Li
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China
| | - Qinghao Zhao
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China
| |
Collapse
|
4
|
Yin Z, Zhao Q, Lv X, Zhang X, Wu Y. Circular RNA ath-circ032768, a competing endogenous RNA, response the drought stress by targeting miR472-RPS5 module. Plant Biol (Stuttg) 2024. [PMID: 38588338 DOI: 10.1111/plb.13645] [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: 11/21/2023] [Accepted: 02/21/2024] [Indexed: 04/10/2024]
Abstract
CircRNAs (circular RNAs) reduce the abundance of miRNAs through ceRNA (competing endogenous RNA), to regulate many physiological processes and stress responses in plants. However, the role of circRNA in drought stress is poorly understood. Through ring identification and sequencing verification of ath-circ032768, bioinformatics analysis predicted the interaction of ath-circ032768-miR472-RPS5, and further obtained transgenic plants overexpressing ath-circ032768 and silencing STTM-miR472. The change in drought stress was analysed using biochemical and molecular biological methods. Sequencing and biological analysis confirmed that ath-circ032768, miR472 and RPS5 were responsive to drought stress, and changes in gene expression were consistent with the prediction of ceRNA. The silencing vectors ath-circ032768 and STTM-miR472 were constructed using molecular biology techniques, and stable transgenic plants with drought tolerance obtained. Further physiological and biochemical studies showed that ath-circ032768 could bind to miR472, and that miR472 could bind to the RPS5 gene, resulting in decreased expression of RPS5. Hence, ath-circ032768 can competitively inhibit degradation of RPS5 by miR472 through ceRNA. This process is accompanied by increased expression of DREB2A, RD29A and RD29B genes. Through the ath-circ032768-miR472-RPS5 pathway, the RPS5 stress resistance protein interacts with DREB2A protein to enhance expression of downstream drought resistance genes, RD29A and RD29B, and participate in the regulation mechanism of plant drought resistance, thereby improving drought tolerance of plants.
Collapse
Affiliation(s)
- Z Yin
- College of Life Sciences, Northwest A&F University, Yangling, Shaan Xi, China
| | - Q Zhao
- College of Life Sciences, Northwest A&F University, Yangling, Shaan Xi, China
| | - X Lv
- College of Life Sciences, Northwest A&F University, Yangling, Shaan Xi, China
| | - X Zhang
- College of Life Sciences, Northwest A&F University, Yangling, Shaan Xi, China
| | - Y Wu
- College of Life Sciences, Northwest A&F University, Yangling, Shaan Xi, China
| |
Collapse
|
5
|
Song MF, Ma LY, Shen C, Zhao Q, Zhao CY. [Liver cancer treatment with mitochondrial homeostasis]. Zhonghua Gan Zang Bing Za Zhi 2024; 32:257-261. [PMID: 38584111 DOI: 10.3760/cma.j.cn501113-20231107-00175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Systemic treatment, including molecular targeted therapy, immunotherapy, and chemotherapy, is an important means of achieving long-term survival in patients with intermediate-and advanced-stage liver cancer. However, some patients are insensitive to treatment and even develop drug resistance. Mitochondria are the center of cellular energy metabolism and, at the same time, are the priority targets for systemic therapy. Mitochondrial homeostasis plays an important role in the treatment of liver cancer. The relationship between the two advances is elucidated so as to provide better ideas for the clinical treatment of liver cancer.
Collapse
Affiliation(s)
- M F Song
- Department of Infectious Disease, the Third Hospital of Hebei Medical University, Shijiazhuang 050051, China
| | - L Y Ma
- Department of Infectious Disease, the Third Hospital of Hebei Medical University, Shijiazhuang 050051, China
| | - C Shen
- Department of Infectious Disease, the Third Hospital of Hebei Medical University, Shijiazhuang 050051, China
| | - Q Zhao
- Quality Management and Control Office, the Third Hospital of Hebei Medical University, Shijiazhuang 050051, China
| | - C Y Zhao
- Department of Infectious Disease, the Third Hospital of Hebei Medical University, Shijiazhuang 050051, China
| |
Collapse
|
6
|
Lu Q, Lv J, Ye Y, Li Z, Wang W, Zhang B, Zhao Q, Zhao Z, Zhang H, Liu Q, Wang B, Yu Z, Guo S, Duan Z, Zhao Y, Gao R, Xu H, Wu Y. Prevalence and impact of diabetes in patients with valvular heart disease. iScience 2024; 27:109084. [PMID: 38375234 PMCID: PMC10875155 DOI: 10.1016/j.isci.2024.109084] [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: 10/19/2023] [Revised: 12/13/2023] [Accepted: 01/28/2024] [Indexed: 02/21/2024] Open
Abstract
This study aimed to investigate the prevalence of diabetes in valvular heart disease (VHD), as well as the relationship of diabetes with severity of valvular lesions and clinical outcome. A total of 11,862 patients with significant (≥moderate) VHD from the China Valvular Heart Disease study were included in the analysis. The primary outcome was the composite of all-cause death, hospitalization for heart failure, and myocardial infarction during two-year follow-up. The prevalence of diabetes was 14.5% (1,721/11,862) in VHD. After adjusting for patients' demographics, diabetes was associated with a significantly lower risk of severe valvular lesion in aortic regurgitation and mitral regurgitation (MR). In multivariable analysis, diabetes was identified as an independent predictor of two-year outcome in patients with MR (hazard ratio: 1.345, 95% confidence interval: 1.069-1.692, p = 0.011). More efforts should be made to enhance our understanding and improve outcomes of concomitant VHD and diabetes.
Collapse
Affiliation(s)
- Qianhong Lu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Junxing Lv
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yunqing Ye
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Zhe Li
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Weiwei Wang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Bin Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Qinghao Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Zhenyan Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Haitong Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Qingrong Liu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Bincheng Wang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Zikai Yu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Shuai Guo
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Zhenya Duan
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yanyan Zhao
- Medical Research & Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Runlin Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Haiyan Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yongjian Wu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - for the CHINA-VHD collaborators
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Medical Research & Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| |
Collapse
|
7
|
Zhang SY, Wei Z, Zhang PQ, Zhao Q, Li M, Bai XH, Wu K, Nie YB, Ding YY, Wang JR, Zhang Y, Su XD, Yao ZE. Neutron-gamma discrimination with broaden the lower limit of energy threshold using BP neural network. Appl Radiat Isot 2024; 205:111179. [PMID: 38217939 DOI: 10.1016/j.apradiso.2024.111179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 12/28/2023] [Accepted: 01/03/2024] [Indexed: 01/15/2024]
Abstract
Neutron-gamma discrimination is a tough and significative in experimental neutrons measurements procedure, especially for low-energy neutrons signal discrimination. In this work, based on the Pulse Shape Discrimination (PSD) and Back-Propagation (BP) artificial neural networks, a neutron-gamma discrimination method is developed to broaden the lower limit of energy threshold with the hidden layer of 20 neurons. Compared with neutron-gamma discrimination method based on PSD only, the developed neutron-gamma discrimination method based on the PSD and BP-ANN can discriminate neutron and gamma-ray signals with low energy threshold, which can discriminate signals up to 99.93%. Moreover, this work can reduce the energy threshold from 350 keV to 70 keV, as well as the acquired data utilization increased from 60% to more than 99.9%, which overcome the hardware limitations and distinguish neutron and gamma-ray signals, effectively. The developed neutron-gamma discrimination method and the trained neural network can be directly used to other experimental neutrons measurements.
Collapse
Affiliation(s)
- S Y Zhang
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China
| | - Z Wei
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China; Engineering Research Center for Neutron Application, Ministry of Education, Lanzhou University, Lanzhou, 730000, China.
| | - P Q Zhang
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China
| | - Q Zhao
- China Institute of Atomic Energy, Beijing, 102413, China
| | - M Li
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China
| | - X H Bai
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China
| | - K Wu
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China
| | - Y B Nie
- China Institute of Atomic Energy, Beijing, 102413, China
| | - Y Y Ding
- China Institute of Atomic Energy, Beijing, 102413, China
| | - J R Wang
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China; Engineering Research Center for Neutron Application, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Y Zhang
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China; Engineering Research Center for Neutron Application, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - X D Su
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China; Engineering Research Center for Neutron Application, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Z E Yao
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China; Engineering Research Center for Neutron Application, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| |
Collapse
|
8
|
Zhu D, Zhao Q, Guo S, Bai L, Yang S, Zhao Y, Xu Y, Zhou X. Efficacy of preventive interventions against ventilator-associated pneumonia in critically ill patients: an umbrella review of meta-analyses. J Hosp Infect 2024; 145:174-186. [PMID: 38295905 DOI: 10.1016/j.jhin.2023.12.017] [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: 09/04/2023] [Revised: 12/13/2023] [Accepted: 12/26/2023] [Indexed: 02/15/2024]
Abstract
Many meta-analyses have assessed the efficacy of preventive interventions against ventilator-associated pneumonia (VAP) in critically ill patients. However, there has been no comprehensive analysis of the strength and quality of evidence to date. Systematic reviews of randomized and quasi-randomized controlled trials, which evaluated the effect of preventive strategies on the incidence of VAP in critically ill patients receiving mechanical ventilation for at least 48 h, were included in this article. We identified a total of 34 interventions derived from 31 studies. Among these interventions, 19 resulted in a significantly reduced incidence of VAP. Among numerous strategies, only selective decontamination of the digestive tract (SDD) was supported by highly suggestive (Class II) evidence (risk ratio (RR)=0.439, 95% CI: 0.362-0.532). Based on data from the sensitivity analysis, the evidence for the efficacy of non-invasive ventilation in weaning from mechanical ventilation (NIV) was upgraded from weak (Class IV) to highly suggestive (Class II) (RR=0.32, 95% CI: 0.22-0.46). All preventive interventions were not supported by robust evidence for reducing mortality. Early mobilization exhibited suggestive (Class III) evidence in shortening both intensive length of stay (LOS) in the intensive care unit (ICU) (mean difference (MD)=-0.85, 95% CI: -1.21 to -0.49) and duration of mechanical ventilation (MD=-1.02, 95% CI: -1.41 to -0.63). In conclusion, SDD and NIV are supported by robust evidence for prevention against VAP, while early mobilization has been shown to significantly shorten the LOS in the ICU and the duration of mechanical ventilation. These three strategies are recommendable for inclusion in the ventilator bundle to lower the risk of VAP and improve the prognosis of critically ill patients.
Collapse
Affiliation(s)
- D Zhu
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
| | - Q Zhao
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
| | - S Guo
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
| | - L Bai
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
| | - S Yang
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
| | - Y Zhao
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
| | - Y Xu
- School of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
| | - X Zhou
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China; Department of Respiratory and Critical Care Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
| |
Collapse
|
9
|
Lei LY, Qin L, Wang ZG, Wang J, Zhao Q, Ji CQ, Chen B, Zhang QJ, Zhou F, Wu M, Zhou JY, Wang WJ. [Study of the effects of dietary patterns on glycemic control in community type 2 diabetic mellitus patients]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:242-249. [PMID: 38413064 DOI: 10.3760/cma.j.cn112338-20230706-00418] [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: 02/29/2024]
Abstract
Objective: To understand the impact of diet on glycemic control in community-managed patients with type 2 diabetes mellitus (T2DM) and provide evidence for implementing prevention strategies and measures for diabetes patients. Methods: Eight communities were randomly selected from Changshu and Wuhan in 2015, and T2DM patients managed in the community were selected to conduct questionnaire surveys, physical measurements, and blood glucose testing. Factor analysis was used to obtain dietary patterns. A binary logistic regression model was used to analyze the factors affecting glycemic control. Results: Finally, 1 818 T2DM patients were included, and the control rate of FPG was 57.59% (95%CI: 55.30%-59.86%), and the control rate of 2 h postprandial blood glucose (2 h PBG) was 24.90% (95%CI: 22.93%- 26.91%). Five dietary patterns were obtained by factor analysis: animal food pattern, fruit-aquatic products-potato patterns, vegetable-grain pattern, egg-milk-bean pattern, and oil-salt patterns. No-conditional multivariate logistic regression analysis showed that after adjusting for confounding factors, the reduced probability of FPG control was related to animal food pattern (OR=0.71, 95%CI: 0.52-0.98) and fruit-aquatic products-potato patterns (OR=0.71, 95%CI: 0.51-0.97). The decrease in the 2 h PBG control probability was related to fruit-aquatic products-potato patterns (OR=0.60, 95%CI: 0.40-0.90). The increased probability of FPG and 2 h postprandial glucose control were both related to vegetable-grain pattern (OR=1.41, 95%CI: 1.03-1.94; OR=1.68, 95%CI: 1.13-2.51) and egg-milk-bean pattern (OR=1.75, 95%CI: 1.25-2.46; OR=1.56, 95%CI: 1.00-2.42). Compared with the Q4 group of egg-milk-bean pattern, the FPG control rate of the combination of "fruit-aquatic products-potato pattern (Q4 group), vegetable-grain pattern (Q2 group), egg-milk-bean pattern (Q3 group)" was higher (OR=6.79, 95%CI: 1.15-40.23, P=0.035). Compared with the Q4 group of vegetable-grain pattern, the combination of "fruit-aquatic products-potato pattern (Q4 group), vegetable-grain pattern (Q3 group), egg-milk-bean pattern (Q2 group), oil-salt pattern (Q2 group)" had higher control rate of 2 h PBG (OR=12.78, 95%CI: 1.26-130.05, P=0.031). Conclusions: A proper combination of dietary patterns and dietary patterns are more conducive to the control of FPG and 2 h PBG in T2DM patients managed in the communities of Wuhan and Changshu. Patient nutrition education should be strengthened, and the food-matching ability of patients should be improved.
Collapse
Affiliation(s)
- L Y Lei
- Obesity and Metabolic Disease Prevention and Control Room, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - L Qin
- Obesity and Metabolic Disease Prevention and Control Room, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Department for Surveillance and Early Earning, Beijing Center for Public Health Emergency Management, Beijing 100053, China
| | - Z G Wang
- Obesity and Metabolic Disease Prevention and Control Room, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Health Supervision Institute, Langfang Economic and Technological Development Zone, Langfang 065001, China
| | - J Wang
- Obesity and Metabolic Disease Prevention and Control Room, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Conrtol and Prevention, Beijing 100021, China
| | - Q Zhao
- Obesity and Metabolic Disease Prevention and Control Room, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Department of Infectious Disease and Endemic Disease Control, Beijing Tongzhou District Center for Disease Control and Prevention, Beijing 101100, China
| | - C Q Ji
- Obesity and Metabolic Disease Prevention and Control Room, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Chronic Disease Prevention and Treatment Department, Beijing Tongzhou District Center for Disease Control and Prevention, Beijing 101100, China
| | - B Chen
- Cancer and Key Chronic Disease Control and Prevention Laboratory, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention,Beijing 100050, China
| | - Q J Zhang
- Institute of Chronic and Non-communicable Diseases, Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China
| | - F Zhou
- Institute of Chronic and Non-communicable Diseases, Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China
| | - M Wu
- Department of Chronic and Non-communicable Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J Y Zhou
- Department of Chronic and Non-communicable Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - W J Wang
- Obesity and Metabolic Disease Prevention and Control Room, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| |
Collapse
|
10
|
Xie Y, Jiang Y, Wu Y, Su X, Zhu D, Gao P, Yuan H, Xiang Y, Wang J, Zhao Q, Xu K, Zhang T, Man Q, Chen X, Zhao G, Jiang Y, Suo C. Association of serum lipids and abnormal lipid score with cancer risk: a population-based prospective study. J Endocrinol Invest 2024; 47:367-376. [PMID: 37458930 DOI: 10.1007/s40618-023-02153-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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 07/02/2023] [Indexed: 02/13/2024]
Abstract
BACKGROUND Serum lipid levels are associated with cancer risk. However, there still have uncertainties about the single and combined effects of low lipid levels on cancer risk. METHODS A prospective cohort study of 33,773 adults in Shanghai between 2016 and 2017 was conducted. Total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) levels were measured. Cox proportional hazard models were used to assess the association of single and combined lipids with overall, lung, colon, rectal, thyroid gland, stomach, and female breast cancers. The effect of the combination of abnormal lipid score and lifestyle on cancer was also estimated. RESULTS A total of 926 incident cancer cases were identified. In the RCS analysis, hazard ratios (HRs) of overall cancer for individuals with TC < 5.18 mmol/L or with LDL-C < 3.40 mmol/L were higher. Low TC was associated with higher colorectal cancer risk (HR [95% CI] = 1.76 [1.09-2.84]) and low HDL-C increased thyroid cancer risk by 90%. Abnormal lipid score was linearly and positively associated with cancer risk, and smokers with high abnormal lipid scores had a higher cancer risk, compared to non-smokers with low abnormal lipid scores (P < 0.05). CONCLUSIONS Low TC levels were associated with an increased risk of overall and colorectal cancer. More attention should be paid to participants with high abnormal lipid scores and unhealthy lifestyles who may have a higher risk of developing cancer. Determining the specific and comprehensive lipid combinations that affect tumorigenesis remains a valuable challenge.
Collapse
Affiliation(s)
- Y Xie
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Y Jiang
- Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Y Wu
- Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - X Su
- Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - D Zhu
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - P Gao
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China
| | - H Yuan
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China
| | - Y Xiang
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - J Wang
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Q Zhao
- Department of Social Medicine, School of Public Health, Fudan University, Shanghai, China
| | - K Xu
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
| | - T Zhang
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang, China
| | - Q Man
- Department of Clinical Laboratory, School of Medicine, Shanghai Fourth People's Hospital, Tongji University, Shanghai, China
| | - X Chen
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang, China
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, and National Clinical Research Center for Aging and Medicine, Human Phenome Institute, Huashan Hospital, Fudan University, Shanghai, China
| | - G Zhao
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Y Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - C Suo
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
- Shanghai Institute of Infectious Disease and Biosecurity, Shanghai, China.
| |
Collapse
|
11
|
Lv J, Xu H, Ye Y, Li Z, Wang W, Zhang B, Zhao Q, Zhang H, Zhao Z, Liu Q, Wang B, Duan Z, Yu Z, Guo S, Zhao Y, Gao R, Ge J, Wu Y. Meta-Analysis Global Group in Chronic Heart Failure score for the prediction of mortality in valvular heart disease. ESC Heart Fail 2024; 11:349-365. [PMID: 38012105 PMCID: PMC10804190 DOI: 10.1002/ehf2.14586] [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: 07/17/2023] [Revised: 09/19/2023] [Accepted: 10/31/2023] [Indexed: 11/29/2023] Open
Abstract
AIMS Valvular heart disease (VHD) is one of the leading causes of heart failure. Clinically significant VHD can induce different patterns of cardiac remodelling, and risk stratification is challenging in patients with various degrees of cardiac dysfunction. The study aimed to investigate the prognostic implications of Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score in patients with VHD. METHODS AND RESULTS This study used data from the China Valvular Heart Disease (China-VHD) registry, which was a multicentre, prospective, observational cohort study for patients with significant (at least moderate) VHD. In total, 10 446 patients with moderate or greater VHD from the China-VHD study were included in the present analysis. The primary outcome of interest was all-cause mortality within 2 years. Among 10 446 patients with VHD, the mean age was 61.98 ± 13.47 years, and 5819 (55.7%) were male. During 2 years of follow-up, 895 (8.6%) patients died. The MAGGIC score was monotonically and independently associated with mortality in both total cohort [adjusted hazard ratio: 1.095, 95% confidence interval (CI): 1.084-1.107, P < 0.001] and most types of VHD (aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid regurgitation, mixed aortic stenosis and aortic regurgitation, and multiple VHD). The score was also an independent prognostic factor in patients with or without symptoms or preserved left ventricular ejection fraction (LVEF) and exhibited both satisfactory discrimination and calibration properties in predicting mortality. The prognostic value of MAGGIC score was robust in most quartiles of N-terminal pro-brain natriuretic peptide level, with no significant interaction observed (Pinteraction = 0.498). Compared with the EuroSCORE II, the MAGGIC score achieved significantly better predictive performance in overall population [C index: 0.769 vs. 0.727; net reclassification improvement index (95% CI): 0.354 (0.313-0.396), P < 0.001; integrated discrimination improvement index (95% CI): 0.069 (0.052-0.085), P < 0.001] and in subgroups of patients divided by therapeutic strategy, LVEF, symptomatic status, stage of VHD, and aetiology of VHD. CONCLUSIONS The MAGGIC score is a reliable prognostic factor across the range of cardiac dysfunction in VHD and may assist in risk stratification and guide clinical decision-making.
Collapse
Affiliation(s)
- Junxing Lv
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
- Department of CardiologyZhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases180 Fenglin RoadShanghaiChina
| | - Haiyan Xu
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | - Yunqing Ye
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | - Zhe Li
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | - Weiwei Wang
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | - Bin Zhang
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | - Qinghao Zhao
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | - Haitong Zhang
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | - Zhenyan Zhao
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | - Qingrong Liu
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | - Bincheng Wang
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | - Zhenya Duan
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | - Zikai Yu
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | - Shuai Guo
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | - Yanyan Zhao
- Medical Research and Biometrics CenterFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Runlin Gao
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | - Junbo Ge
- Department of CardiologyZhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases180 Fenglin RoadShanghaiChina
| | - Yongjian Wu
- Department of CardiologyFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College167 Beilishi Road, Xicheng DistrictBeijingChina
| | | |
Collapse
|
12
|
Nian Z, Zhao Q, He Y, Xie R, Liu W, Chen T, Huang S, Dong L, Huang R, Yang L. Efficacy and Safety of First-line Therapies for Advanced Unresectable Oesophageal Squamous Cell Cancer: a Systematic Review and Network Meta-analysis. Clin Oncol (R Coll Radiol) 2024; 36:30-38. [PMID: 37827946 DOI: 10.1016/j.clon.2023.09.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 08/27/2023] [Accepted: 09/21/2023] [Indexed: 10/14/2023]
Abstract
AIM To compare the clinical efficacy and safety of first-line treatments for advanced unresectable oesophageal squamous cell cancer. MATERIALS AND METHODS A systematic review and network meta-analysis was carried out by retrieving and retaining relevant literature from databases. The studies were randomised controlled trials comparing first-line treatments for advanced unresectable oesophageal squamous cell cancer. A Bayesian network meta-analysis was used to assess clinical outcomes. RESULTS Nine studies including 4499 patients receiving first-line treatments were analysed. For all populations, toripalimab plus chemotherapy tended to provide the best overall survival (hazard ratio 0.58, 95% confidence intervals 0.43-0.78) and sintilimab plus chemotherapy provided the best progression-free survival (0.56, 0.46-0.68). Nivolumab plus chemotherapy presented the best objective response rate (odds ratio 2.45, 1.78-3.42) and camrelizumab plus chemotherapy (0.47, 0.29-0.74) appeared to be the safest. Sintilimab plus chemotherapy (0.55, 0.40-0.75) and nivolumab (0.54, 0.37-0.80) plus chemotherapy had the best overall survival in programmed death ligand 1 (PD-L1) tumour proportion score <1% and ≥1% subgroups. Toripalimab plus chemotherapy (0.61, 0.40-0.93) and pembrolizumab (0.57, 0.43-0.75) were the best in overall survival in combined positive score <10 and ≥10 subgroups, respectively. Toripalimab plus chemotherapy showed the best overall survival in the Asian group; pembrolizumab presented better overall survival in the Asian population than the non-Asian group. CONCLUSION Most immunotherapy combined with chemotherapy showed superior clinical benefits and sintilimab plus chemotherapy, toripalimab plus chemotherapy and tislelizumab plus chemotherapy had better comprehensive clinical efficacy. PD-L1 expression detection and ethnicity differences are still of great significance and most suitable regimens varied from each subgroup.
Collapse
Affiliation(s)
- Z Nian
- School of Pharmacy, Fujian Medical University, Fuzhou, China
| | - Q Zhao
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Y He
- School of Pharmacy, Fujian Medical University, Fuzhou, China
| | - R Xie
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - W Liu
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - T Chen
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - S Huang
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - L Dong
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - R Huang
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - L Yang
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
| |
Collapse
|
13
|
Hong S, Zhao Q. Expanding electrocardiogram abilities for postoperative mortality prediction with deep learning. Lancet Digit Health 2024; 6:e4-e5. [PMID: 38065779 DOI: 10.1016/s2589-7500(23)00230-3] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 11/09/2023] [Indexed: 12/22/2023]
Affiliation(s)
- Shenda Hong
- National Institute of Health Data Science and Institute of Medical Technology, Health Science Center, Peking University, Beijing 100191, China.
| | - Qinghao Zhao
- Department of Cardiology, Peking University People's Hospital, Beijing, China
| |
Collapse
|
14
|
Guo HH, Song BY, Wang XR, Cui JX, Zhang ZB, Wang BY, Liu Y, Tan BB, Zhao Q. [A case of diaphragmatic hemangioma misdiagnosed as gastrointestinal stromal tumor of stomach]. Zhonghua Wei Chang Wai Ke Za Zhi 2023; 26:1194-1195. [PMID: 38110283 DOI: 10.3760/cma.j.cn441530-20230613-00204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
|
15
|
Jin ML, Mamute M, Shapaermaimaiti H, Li JX, Cao J, Li HY, Meng FH, Zhao Q, Ji HY, Abuzhalihan J, Aigaixi A, Lu XF, Fu ZY. [Analysis of the prevalence of dyslipidemia and correlative factors in Tajik population in Pamir Plateau of Xinjiang]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:1240-1246. [PMID: 38123206 DOI: 10.3760/cma.j.cn112148-20231007-00231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Objective: To investigate the prevalence of dyslipidemia and the level of blood lipids among Tajik people in Pamir Plateau, Xinjiang, and explore the related factors of dyslipidemia. Methods: It is a retrospective cross-sectional study. A multi-stage cluster random sampling survey was conducted among 5 635 Tajiks over 18 years old in Tashkorgan Tajik Autonomous County, Xinjiang Province from May to October 2021. Data were collected through questionnaire survey (general information, medical history, and personal history), physical examination (height, weight, waist, and blood pressure) and blood test (total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density cholesterol (HDL-C)) to analyze the dyslipidemia and its risk factors among Tajiks. Results: The age of Tajik participants was (41.9±15.0) years, including 2 726 males (48.4%). The prevalence of borderline high TC, high LDL-C and high TG levels were 17.2%, 14.7% and 8.9%, respectively. The prevalence of high TC, high LDL-C, high TG and low HDL-C were 4.1%, 4.9%, 9.4% and 32.4%, respectively, and the prevalence of dyslipidemia was 37.0%. There is a positive correlation between male,higher education level, higher body mass index (BMI) value,waist circumference, living in town, smoking and dyslipidemia. Conclusions: The low prevalence of high TC, high LDL-C, high TG and high prevalence of low HDL-C was a major characteristic of Tajik people in Pamir Plateau of Xinjiang. The lower rates of overweight and obesity may be one of the reasons for the lower prevalence of dyslipidemia among Tajik.
Collapse
Affiliation(s)
- M L Jin
- Department of Cardiology and State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - Mawusumu Mamute
- Department of Urology, First People's Hospital of Kashgar District, Kashgar 844099, China
| | - Hebali Shapaermaimaiti
- Disease Control and Prevention Center of Tashkurgan Tajik Autonomous County, Kashgar 845250, China
| | - J X Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - J Cao
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - H Y Li
- Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - F H Meng
- Department of Cardiology of Affiliated Hospital of Jining Medical University, Jining 272007, China
| | - Q Zhao
- Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - H Y Ji
- Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - Jialin Abuzhalihan
- Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - Abuduhalike Aigaixi
- Health Commission of Tashkurgan Tajik Autonomous County, Kashgar 845250, China
| | - X F Lu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Z Y Fu
- Department of Cardiology and State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
| |
Collapse
|
16
|
Hoffmann LB, Li B, Zhao Q, Wei W, Leighton LJ, Bredy TW, Pang TY, Hannan AJ. Chronically high stress hormone levels dysregulate sperm long noncoding RNAs and their embryonic microinjection alters development and affective behaviours. Mol Psychiatry 2023:10.1038/s41380-023-02350-2. [PMID: 38114632 DOI: 10.1038/s41380-023-02350-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 11/20/2023] [Accepted: 11/27/2023] [Indexed: 12/21/2023]
Abstract
Previous studies on paternal epigenetic inheritance have shown that sperm RNAs play a role in this type of inheritance. The microinjection of sperm small noncoding RNAs into fertilised mouse oocytes induces reprogramming of the early embryo, which is thought to be responsible for the differences observed in adult phenotype. While sperm long noncoding RNAs (lncRNAs) have also been investigated in a previous study, their microinjection into fertilised oocytes did not yield conclusive results regarding their role in modulating brain development and adult behavioural phenotypes. Therefore, in the current study we sought to investigate this further. We used our previously established paternal corticosterone (stress hormone) model to assess sperm lncRNA expression using CaptureSeq, a sequencing technique that is more sensitive than the ones used in other studies in the field. Paternal corticosterone exposure led to dysregulation of sperm long noncoding RNA expression, which encompassed lncRNAs, circular RNAs and transposable element transcripts. Although they have limited functional annotation, bioinformatic approaches indicated the potential of these lncRNAs in regulating brain development and function. We then separated and isolated the sperm lncRNAs and performed microinjections into fertilised oocytes, to generate embryos with modulated lncRNA populations. We observed that the resulting adult offspring had lower body weight and altered anxiety and affective behavioural responses, demonstrating roles for lncRNAs in modulating development and brain function. This study provides novel insights into the roles of lncRNAs in epigenetic inheritance, including impacts on brain development and behaviours of relevance to affective disorders.
Collapse
Affiliation(s)
- L B Hoffmann
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
- Florey Department of Neuroscience and Mental Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia
| | - B Li
- Florey Department of Neuroscience and Mental Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia
| | - Q Zhao
- Cognitive Neuroepigenetics Laboratory, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - W Wei
- Cognitive Neuroepigenetics Laboratory, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - L J Leighton
- Cognitive Neuroepigenetics Laboratory, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - T W Bredy
- Cognitive Neuroepigenetics Laboratory, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - T Y Pang
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
- Florey Department of Neuroscience and Mental Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia
| | - A J Hannan
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia.
- Florey Department of Neuroscience and Mental Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia.
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia.
| |
Collapse
|
17
|
Wang W, Lei LB, Zhao Q, He GD, Ji RQ, Li JK, Zhang LH. [Progress in research of models for predicting the risk of readmission and mortality among patients with acute heart failure]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:2005-2011. [PMID: 38129161 DOI: 10.3760/cma.j.cn112338-20230527-00336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Heart failure is a serious and end-stage status of various heart diseases, characterized by comparatively high rate of readmission and mortality, and has become an important public health issue. The risk of readmission and mortality following discharge of an index hospitalization are key indicators to evaluate the quality of medical care among patients with acute heart failure. Therefore, it is important to carry out risk prediction research for patients with acute heart failure, quantify the disease risk, perform risk stratification, optimize clinical decision-making, elevate patients' quality of life and prognosis, and comprehensively improve the medical quality of acute heart failure. During the past 20 years, foreign researchers have developed dozens of models to predict the risk of acute heart failure readmission and mortality, and Chinese researchers have also developed up to 10 models applicable to the Chinese population. However, there is no recommended risk prediction model for acute heart failure in current clinical guidelines across China. In this report, we aim to introduce the major models for predicting the risk of acute heart failure readmission and mortality from home and abroad, focus on putting forward limitations of established models, and initiating potential directions for future studies from the following aspects: integrate multi-source data, mine emerging biomarkers, establish polygenic risk scores, optimize machine learning methods, promote flexible adjustment, and broaden approaches that applicable for various scenarios. Accordingly, this study will help facilitate domestic research in predicting the risk of readmission and mortality among patients hospitalized for acute heart failure.
Collapse
Affiliation(s)
- W Wang
- National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - L B Lei
- National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Q Zhao
- Department of Cardiology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - G D He
- National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - R Q Ji
- National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - J K Li
- National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - L H Zhang
- National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China
| |
Collapse
|
18
|
Hong W, Fu W, Zhao Q, Xue C, Cai W, Dong N, Shan A. Effects of oleanolic acid on acute liver injury triggered by lipopolysaccharide in broiler chickens. Br Poult Sci 2023; 64:697-709. [PMID: 37697900 DOI: 10.1080/00071668.2023.2251119] [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: 09/06/2022] [Revised: 06/21/2023] [Accepted: 07/03/2023] [Indexed: 09/13/2023]
Abstract
1. Infectious injury caused by lipopolysaccharide (LPS), a metabolite of gram-negative bacteria, can induce stress responses in animals and is a significant cause of morbidity and mortality in young birds. The purpose of this study was to investigate the effects of dietary supplementation with oleanolic acid (OA) on acute liver injury in broiler chickens challenged with LPS.2. In total, 120 broiler chickens were randomly divided into six groups and fed a basal diet containing 0, 50, 100, or 200 mg/kg OA or 100 mg/kg aureomycin. On d 15, broiler chickens were injected with either LPS or an equivalent volume of normal saline. Six hours after LPS injection, two broiler chicks were randomly selected for sampling in each replicate.3. The results indicated that dietary aureomycin was ineffective in alleviating LSP-associated liver injury, but protected broiler chickens from LPS-induced liver damage. This promoted a significant reduction in the levels of malondialdehyde and an increase in the levels of superoxide dismutase in liver. In addition, OA was found to cause significant reductions in the relative expression of IL-1β, IL-6, and TNF-α in broiler liver tissues, whereas the relative expression of IL-10 was significantly increased.4. In conclusion, oleanolic acid can alleviate oxidative stress and injury in the livers of broiler chickens induced by lipopolysaccharide. Consequently, oleanolic acid has potential utility as a novel anti-inflammatory and antioxidant feed additive.
Collapse
Affiliation(s)
- W Hong
- The Laboratory of Molecular Nutrition and Immunity, College of Animal Science and Technology, Northeast Agricultural University, Harbin, P. R. China
| | - W Fu
- The Laboratory of Molecular Nutrition and Immunity, College of Animal Science and Technology, Northeast Agricultural University, Harbin, P. R. China
| | - Q Zhao
- The Laboratory of Molecular Nutrition and Immunity, College of Animal Science and Technology, Northeast Agricultural University, Harbin, P. R. China
| | - C Xue
- The Laboratory of Molecular Nutrition and Immunity, College of Animal Science and Technology, Northeast Agricultural University, Harbin, P. R. China
| | - W Cai
- The Laboratory of Molecular Nutrition and Immunity, College of Animal Science and Technology, Northeast Agricultural University, Harbin, P. R. China
| | - N Dong
- The Laboratory of Molecular Nutrition and Immunity, College of Animal Science and Technology, Northeast Agricultural University, Harbin, P. R. China
| | - A Shan
- The Laboratory of Molecular Nutrition and Immunity, College of Animal Science and Technology, Northeast Agricultural University, Harbin, P. R. China
| |
Collapse
|
19
|
Zhong E, Fan C, Li Q, Zhao Q. A comparative study of the anatomy and MRI images of the lumbar foraminal ligaments at the L1-L5 levels. Surg Radiol Anat 2023; 45:1535-1543. [PMID: 37872310 DOI: 10.1007/s00276-023-03251-3] [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: 08/22/2023] [Accepted: 10/05/2023] [Indexed: 10/25/2023]
Abstract
PURPOSE The purpose of this study was to evaluate the ability of MRI images to reveal foraminal ligaments at levels L1-L5 by comparing the results with those of anatomical studies. METHODS Eighty lumbar foramina were studied. First, the best MRI scanning parameters were selected, and the transverse and sagittal axes of each lumbar foramina were scanned to identify and record the ligament-like structures in each lumbar foramen. Then, the cadaveric specimens were anatomically studied, and all ligament structures in the lumbar foramina were retained. The number, morphology and distribution of ligaments under anatomical and MRI scanning were observed. Histological staining of the dissected ligament structures was performed to confirm that they were ligamentous tissues. Finally, the accuracy of ligament recognition in MRI images was statistically analyzed. RESULTS A total of 233 foraminal ligaments were identified in 80 lumbar intervertebral foramina through cadaveric anatomy. The radiating ligaments (176, 75.5%) were found to be attached from the nerve root to the surrounding osseous structures, while the transforaminal ligaments (57, 24.5%) traversed the intervertebral foramina without any connection to the nerve roots. A total of 42 transforaminal ligament signals and 100 radiating ligament signals were detected in the MRI images of the 80 intervertebral foramina. CONCLUSION The MRI can identify the lumbar foraminal ligament, and the recognition rate of the transforaminal ligament is higher than that of the radiating ligament. This study provides a new method for the clinical diagnosis of the relationship between the lumbar foraminal ligament and radicular pain.
Collapse
Affiliation(s)
- Enyi Zhong
- Guangzhou Women and Children's Medical Center, No. 9 Jinsui Road, Guangzhou, 510000, China
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, No. 183, Zhongshan Rd West, Guangzhou, 510630, China
| | - Chaohui Fan
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, No. 183, Zhongshan Rd West, Guangzhou, 510630, China
| | - Qingchu Li
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, No. 183, Zhongshan Rd West, Guangzhou, 510630, China
| | - Qinghao Zhao
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, No. 183, Zhongshan Rd West, Guangzhou, 510630, China.
| |
Collapse
|
20
|
Ma T, Meng Z, Ghaffari M, Lv J, Xin H, Zhao Q. Characterization and profiling of the microRNA in small extracellular vesicles isolated from goat milk samples collected during the first week postpartum. JDS Commun 2023; 4:507-512. [PMID: 38045901 PMCID: PMC10692291 DOI: 10.3168/jdsc.2022-0369] [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] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 04/06/2023] [Indexed: 12/05/2023]
Abstract
Colostrum contains nutrients, immunoglobulins, and various bioactive compounds such as microRNA (miRNA). Less is known about the temporal changes in miRNA profiles in ruminant milk samples during the first week postpartum. In this study, we characterized and compared the profiles of miRNA in the small extracellular vesicles (sEV) isolated from colostrum (CM, collected immediately after parturition, n = 8) and transition milk (TM, collected 7 d postpartum, n = 8) from eight 1-yr-old Guanzhong dairy goats with a milk yield of approximately 500 kg/year. A total of 192 unique sEV-associated miRNA (transcripts per million >1 at least 4 samples in either CM or TM) were identified in all samples. There were 29 miRNA uniquely identified in the TM samples while no miRNA was uniquely identified in the CM samples. The abundance of the top 10 miRNA accounted for 82.4% ± 4.0% (± SD) of the total abundance, with let-7 families (e.g., let-7a/b/c-5p) being predominant in all samples. The top 10 miRNA were predicted to target 1,008 unique genes that may regulate pathways such as focal adhesion, TGF-β signaling, and axon guidance. The expression patterns of EV miRNA were similar between the 2 sample groups, although the abundance of let-7c-5p and miR-30a-3p was higher, whereas that of let-7i-5p and miR-103-3p was lower in CM than in TM. In conclusion, the core miRNAome identified in the samples from CM and TM may play an important role in cell proliferation, bone homeostasis, and neuronal network formation in newborn goat kids. The lack of differential miRNA expression between the CM and TM samples may be due to a relatively short sampling interval in which diet composition, intake and health status of ewes, and environment were relatively stable.
Collapse
Affiliation(s)
- T. Ma
- Institute of Feed Research, Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Z. Meng
- Inner Mongolia Academy of Agriculture and Animal Husbandry Sciences, Hohhot, 010030, China
| | - M.H. Ghaffari
- Institute of Animal Science, University of Bonn, Bonn, 53115, Germany
| | - J. Lv
- College of Animal Sciences and Technology, Northeast Agricultural University, Harbin, 150030, China
| | - H. Xin
- College of Animal Sciences and Technology, Northeast Agricultural University, Harbin, 150030, China
| | - Q. Zhao
- Inner Mongolia Academy of Agriculture and Animal Husbandry Sciences, Hohhot, 010030, China
| |
Collapse
|
21
|
Zhang Z, Zhao Q, Cheng L, Zheng Z, Chen J, Liu Z, Gao Y, Wang G, Li Q. Position of lumbar plexus nerves in the psoas major: Application to transpsoas approaches to the lumbar spine. Clin Anat 2023; 36:1075-1080. [PMID: 36942892 DOI: 10.1002/ca.24016] [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: 10/24/2022] [Revised: 01/10/2023] [Accepted: 01/18/2023] [Indexed: 03/23/2023]
Abstract
Far lateral interbody fusion is a minimally invasive operating technique. However, the incidence of postoperative neurological complications is high, and some scholars question its safety. This study describes the neuroanatomical features and spatial orientation within the psoas major. Ten embalmed male cadavers were selected and the left psoas major was dissected. Subsequently, the area between the anterior and the posterior edges of the vertebral body was divided into three equal zones. The nerves' distribution, number, and spatial orientation of the L1/2 to L4/5 intervertebral discs were examined. A caliper was used to measure the diameter of the nerve. The safety zone of the L1/2 intervertebral disc level is located in zone I and II, the relative safe zones of the L2/3 and L4/5 intervertebral discs are located in zone II, and the safety zone of the L3/4 intervertebral disc level is located in the caudal side of zone II. The genitofemoral nerve exits the psoas major in a co-trunk or two-branch pattern, and its exit point was distributed between the L3 and L4 vertebral bodies, mainly at the L3/4 intervertebral disc level. The sympathetic ganglia in the psoas major appeared only in zone I at the L2/3 intervertebral disc level. This is a systematic anatomical study that describes the nerves of the psoas major. Spine surgeons can use this study-which consists of important clinical implications-for preoperative planning, and thus, reduce the risk of nerve injury during surgery.
Collapse
Affiliation(s)
- Zhenfeng Zhang
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, No. 183, Zhongshan Road West, Guangzhou, 510630, China
- Department of Orthopedics, Guangzhou Development District Hospital, No. 196 Youyi Road, Huangpu District, Guangzhou, 510730, China
| | - Qinghao Zhao
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, No. 183, Zhongshan Road West, Guangzhou, 510630, China
| | - Liang Cheng
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, No. 183, Zhongshan Road West, Guangzhou, 510630, China
| | - Zhiyang Zheng
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, No. 183, Zhongshan Road West, Guangzhou, 510630, China
| | - Junjie Chen
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, No. 183, Zhongshan Road West, Guangzhou, 510630, China
| | - Zexian Liu
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, No. 183, Zhongshan Road West, Guangzhou, 510630, China
| | - Yuan Gao
- Department of the Institute of Trauma Surgery, The Second Hospital of Tangshan, No. 21 Jianshe North Road, Lubei District, Tangshan, 063015, China
| | - Guoliang Wang
- Department of Orthopedics, Guangzhou Development District Hospital, No. 196 Youyi Road, Huangpu District, Guangzhou, 510730, China
| | - Qingchu Li
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, No. 183, Zhongshan Road West, Guangzhou, 510630, China
| |
Collapse
|
22
|
Song MF, Ma LY, Zhao Q, Shen C, Zhao CY. [Research progress on the mechanism and response strategies of molecular targeted drug resistance in liver cancer]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:1108-1112. [PMID: 38016782 DOI: 10.3760/cma.j.cn501113-20220723-00393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
Molecular targeted drugs are one of the treatments for hepatocellular carcinoma (HCC), the primary factor influencing their therapeutic efficacy is drug resistance. Diminished drug intake, greater efflux, improved DNA damage repair capacity, aberrant signal pathways, hypoxia, epithelial-mesenchymal cell transition, and the cellular autophagy system are summarized herein as aspects of the drug resistance mechanism. Simultaneously, effective strategies for addressing drug resistance are elaborated, providing ideas for better clinical treatment of HCC.
Collapse
Affiliation(s)
- M F Song
- Department of Infectious Disease, the Third Hospital of Hebei Medical University, Shijiazhuang 050051, China
| | - L Y Ma
- Department of Infectious Disease, the Third Hospital of Hebei Medical University, Shijiazhuang 050051, China
| | - Q Zhao
- Quality Management and Control Office, the Third Hospital of Hebei Medical University, Shijiazhuang 050051, China
| | - C Shen
- Department of Infectious Disease, the Third Hospital of Hebei Medical University, Shijiazhuang 050051, China
| | - C Y Zhao
- Department of Infectious Disease, the Third Hospital of Hebei Medical University, Shijiazhuang 050051, China
| |
Collapse
|
23
|
Feng D, Ye Y, Li Z, Zhang B, Liu Q, Wang W, Zhao Z, Zhou Z, Zhao Q, Yu Z, Zhang H, Duan Z, Wang B, Lv J, Guo S, Gao R, Xu H, Wu Y. Total Cholesterol Levels and Risk of Mortality or Heart Failure Rehospitalization in Patients With Valvular Heart Disease. Am J Cardiol 2023; 205:473-480. [PMID: 37677854 DOI: 10.1016/j.amjcard.2023.08.049] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 08/01/2023] [Accepted: 08/10/2023] [Indexed: 09/09/2023]
Abstract
Low total cholesterol (TC) levels have been found to significantly increase mortality risk in patients experiencing heart failure. However, it is unclear whether the same relation applies specifically to patients with valvular heart disease (VHD). This study included patients with significant VHD from the China Valvular Heart Disease Study. Patients with atherosclerotic cardiovascular disease were excluded. The primary end point of this study was a combined indicator of either all-cause mortality or rehospitalization because of heart failure (HF). The association between TC and the primary outcome was evaluated using Cox proportional hazard models. The cut-off value of TC for predicting mortality or rehospitalization was determined by the maximally selected rank test. The study population comprised 6,235 patients with VHD. Over a 2-year follow-up period, there were 393 deaths and 265 HF rehospitalizations. The adjusted hazard models showed that for every 1 mmol/L decrease in TC, there was a 1.19-fold increased risk of death or HF rehospitalization (adjusted hazard ratio 1.19, 95% confidence interval 1.09 to 1.30, p <0.001). The optimal cut-off value of TC was 3.53 mmol/L; patients at or below this level had significantly higher mortality and HF rehospitalization rates. After adjustment for confounding factors, low TC levels (≤3.53 mmol/L) remained a significant risk factor for patients with aortic regurgitation, mitral regurgitation, and tricuspid regurgitation. Decreased TC levels are associated with an increased risk of death or HF rehospitalization among patients with VHD.
Collapse
Affiliation(s)
- Dejing Feng
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Yunqing Ye
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Zhe Li
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Bin Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Qingrong Liu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Weiwei Wang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Zhenyan Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Zheng Zhou
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Qinghao Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Zikai Yu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Haitong Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Zhenya Duan
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Bincheng Wang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Junxing Lv
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Shuai Guo
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Runlin Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Haiyan Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.
| | - Yongjian Wu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.
| |
Collapse
|
24
|
Liu F, Wang H, Jiang C, He L, Xiao S, Ye X, Fan C, Wu X, Liu W, Li Y, Wu W, Zhao Q. Dose Painting Radiotherapy Guided by Diffusion-Weighted Magnetic Resonance vs. 18F-FDG-PET/CT in Locoregionally Advanced Nasopharyngeal Carcinoma: A Randomized, Controlled Clinical Trial. Int J Radiat Oncol Biol Phys 2023; 117:S100-S101. [PMID: 37784268 DOI: 10.1016/j.ijrobp.2023.06.054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) This phase II randomized controlled trial aimed at comparing the efficacy and toxicity of diffusion-weighted magnetic resonance imaging (DWI)-guided dose painting radiotherapy (DP-RT), FDG-PET/CT-guided DP-RT, and conventional MRI-based radiotherapy (RT) in locoregionally advanced nasopharyngeal carcinoma (NPC). MATERIALS/METHODS A total of 330 patients with stage III-IVa NPC disease were randomly assigned in a 1:1:1 ratio to receive induction chemotherapy followed by concurrent chemoradiotherapy by DWI-guided DP-RT (group A, n = 110), FDG-PET/CT-guided DP-RT (group B, n = 110), or conventional MRI-based RT (group C, n = 110). All patients received volumetric modulated arc therapy (VMAT). In group A, subvolume GTVnx-DWI (gross tumor volume of nasopharynx in DWI) was defined as the areas within the GTVnx (gross tumor volume of nasopharynx) with an apparent diffusion coefficient (ADC) below the mean ADC (ADC < mean). In group B, subvolume GTVnx-PET (gross tumor volume of nasopharynx in PET images) was defined within GTVnx as the SUV50%max isocontour. The doses to GTVnx-DWI in group A and GTVnx-PET in group B were escalated to 75.2 Gy/32 fx in patients with T1-2 disease and to 77.55 Gy/33 fx in those with T3-4 disease in 2.35 Gy per fraction. In group C, planning gross tumor volume of nasopharynx (PGTVnx) was irradiated at 70.4 to 72.6 Gy/32 to 33 fx in 2.2 Gy per fraction. This trial is registered with chictr.org.cn (ChiCTR2200057476). RESULTS Group A and B showed significant higher complete response (CR) rates than group C (100%, 100%, and 96.4% for group A, B and C, respectively, p = 0.036). In groups A, B and C, the 1-year local recurrence-free survival (LRFS) rates were 100%, 100%, and 94.5%, respectively (p = 0.002). The 1-year disease-free survival (DFS) rates were 100%, 99.1%, and 92.7%, respectively (p = 0.001). The 1-year distant metastasis-free survival (DMFS) rates were 100%, 99.1%, and 93.6%, respectively (p = 0.004). The 1-year overall survival (OS) rates were 100%, 100%, and 95.4%, respectively (p = 0.006). Group A and B had significantly higher 1-year LRFS, DFS, DMFS, and OS than those in group C. No significant differences were observed in LRFS, DFS, DMFS and OS between group A and B. Group B (PET/CT group) had a higher incidence of grade 3-4 acute ototoxicity (3.6%) than group A (0%) and group C (0%, p = 0.036). No significant differences in other grade 3-4 acute adverse events and late toxic effects were observed among the three groups, and no patient had grade 5 toxicities. Multivariate analysis showed that dose painting (DWI-guided DP-RT and PET/CT-guided DP-RT vs conventional MRI-based RT) was associated with improved LRFS, DFS, DMFS and OS. CONCLUSION Both DWI-guided DP-RT and PET/CT-guided DP-RT plus chemotherapy are associated with improved LRFS, DFS, DMFS and OS compared with conventional MRI-based RT among patients with locoregionally advanced NPC. DWI-guided DP-RT does not increase toxicities, but PET/CT-guided DP-RT has higher incidence of acute ototoxicity.
Collapse
Affiliation(s)
- F Liu
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - H Wang
- Department of Radiation Oncology, Hunan Cancer Hospital & the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - C Jiang
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - L He
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - S Xiao
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - X Ye
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - C Fan
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - X Wu
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - W Liu
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - Y Li
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - W Wu
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - Q Zhao
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| |
Collapse
|
25
|
Liu F, Wang H, Jiang C, He L, Xiao S, Yan O, Wu X, Liu W, Ye X, Fan C, Li Y, Zhao Q, Wu W, Tan C. Efficacy and Toxicity of Different Target Volume Delineations of Radiotherapy Based on the Updated RTOG/NRG and EORTC Guidelines in Patients with High Grade Glioma: A Randomized, Controlled Clinical Trial. Int J Radiat Oncol Biol Phys 2023; 117:S84-S85. [PMID: 37784587 DOI: 10.1016/j.ijrobp.2023.06.406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Postoperative radiotherapy with concomitant and adjuvant temozolomide (TMZ) is the standard of care for newly diagnosed high grade glioma, but the optimal method for target volume delineations for intensity modulated radiation therapy (IMRT) is still unclear. We hypothesized that compared with the EORTC guidelines, IMRT based on the updated RTOG/NRG guidelines was equally effective, without increasing toxicities for patients with high-grade glioma. The purpose of this randomized phase 2 study was to compare the efficacy and toxicity of IMRT based on different target volume delineations (updated RTOG/NRG versus EORTC guidelines) with concomitant and adjuvant TMZ for patients with high grade glioma. MATERIALS/METHODS A total of 302 patients with newly diagnosed high-grade glioma (WHO grade 3-4) were randomly assigned (1:1) to receive postoperative IMRT based on either updated RTOG/NRG guidelines (RTOG/NRG group, n = 151) or EORTC guideline (EORTC group, n = 151), with concomitant and adjuvant TMZ. In the RTOG/NRG group, an initial volume consisting of enhancement, postoperative cavity, plus surrounding edema (or fluid-attenuated inversion recovery [FLAIR] abnormality defined by magnetic resonance imaging [MRI]) and a 2-cm margin received 46 Gy in 23 fractions followed by a boost of 14 Gy in 7 fractions to the area of enhancement plus the cavity and a 2-cm margin. In the EORTC group, a single planning volume was used to deliver 60 Gy in 30 fractions to the area of enhancement and the cavity with a 2-cm margin. The primary end point was overall survival (OS). Secondary end points included progression-free survival (PFS) and toxicities associated with each treatment. RESULTS No statistically significant differences were observed between groups for 1-year OS (71.8% for RTOG/NRG group and 69.9% for EORTC group, respectively; P = 0.759) or 1-year PFS (46.7% for RTOG/NRG group and 43.6% for EORTC group, respectively; P = 0.674). Efficacy did not differ by MGMT methylation status. There were no differences in grade 3-4 toxicities (leukopenia, lymphopenia, neutropenia, thrombocytopenia, fatigue, nausea and vomiting) between the two groups. No grade 5 toxicities were observed in both groups. Multivariate analyses showed that tumor MGMT status (methylated vs unmethylated) and WHO grade (grade 3 vs grade 4) were associated with OS and PFS. However, radiation type (RTOG/NRG group vs EORTC), sex, age, and Karnofsky scale did not significantly influence OS or PFS. CONCLUSION Compared with EORTC guidelines for postoperative radiotherapy, IMRT based on RTOG/NRG guidelines was equally effective, without increasing toxicities for patients with high-grade glioma. This trial is registered with chictr.org.cn, number ChiCTR2100046667.
Collapse
Affiliation(s)
- F Liu
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - H Wang
- Department of Radiation Oncology, Hunan Cancer Hospital & the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - C Jiang
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - L He
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - S Xiao
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - O Yan
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - X Wu
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - W Liu
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - X Ye
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - C Fan
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - Y Li
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Q Zhao
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - W Wu
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China, Changsha, China
| | - C Tan
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| |
Collapse
|
26
|
Henriques A, Nash S, Barofsky D, Bollen G, Lapierre A, Schwarz S, Sumithrarachchi C, Zhao Q, Villari ACC. Quantification and purification of isotopic contamination at the ReAccelerator of the Facility for Rare Isotope Beams. Rev Sci Instrum 2023; 94:103306. [PMID: 37815423 DOI: 10.1063/5.0165850] [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] [Received: 06/30/2023] [Accepted: 09/19/2023] [Indexed: 10/11/2023]
Abstract
At the ReAccelerator within the Facility for Rare Isotope Beams, a combination of an interchangeable aluminum foil and a silicon detector was developed to quantify isobaric contamination in rare isotope beams. The device is simple to operate and is now used routinely. In this article, we describe the system and show an application of the device to determine the level of contamination of an Si-32 rare isotope beam by stable S-32. In addition, we describe how the new diagnostic device helped confirm an enhancement of the beam purity prior to beam delivery to experiments.
Collapse
Affiliation(s)
- A Henriques
- Facility for Rare Isotope Beams, Michigan State University, East Lansing, Michigan 48824, USA
| | - S Nash
- Facility for Rare Isotope Beams, Michigan State University, East Lansing, Michigan 48824, USA
| | - D Barofsky
- Facility for Rare Isotope Beams, Michigan State University, East Lansing, Michigan 48824, USA
| | - G Bollen
- Facility for Rare Isotope Beams, Michigan State University, East Lansing, Michigan 48824, USA
| | - A Lapierre
- Facility for Rare Isotope Beams, Michigan State University, East Lansing, Michigan 48824, USA
| | - S Schwarz
- Facility for Rare Isotope Beams, Michigan State University, East Lansing, Michigan 48824, USA
| | - C Sumithrarachchi
- Facility for Rare Isotope Beams, Michigan State University, East Lansing, Michigan 48824, USA
| | - Q Zhao
- Facility for Rare Isotope Beams, Michigan State University, East Lansing, Michigan 48824, USA
| | - A C C Villari
- Facility for Rare Isotope Beams, Michigan State University, East Lansing, Michigan 48824, USA
| |
Collapse
|
27
|
Wang Y, Zhao Q, Hamulati X, Tuerxun G, Mutalifu M, Li XM, Yang YN. [Association between sleep quality/physical activity and metabolic syndrome in urban population of Xinjiang]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:963-969. [PMID: 37709713 DOI: 10.3760/cma.j.cn112148-20230324-00173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/16/2023]
Abstract
Objective: To explore the relationship between sleep/physical activity and metabolic syndrome (MS) in urban population of Xinjiang. Methods: This is a prospective, cross-sectional study. From July 2019 to September 2021, a two-stage random sampling method was used to randomly select residents aged 30-74 years from two communities in Urumqi of northern Xinjiang and Korla of southern Xinjiang. General situation questionnaire, Pittsburgh Sleep Quality Index Scale (PSQI) survey, International Physical Activity Questionnaire (IPAQ) survey, physical examination, physiological and biochemical indicators were obtained and analyzed. The dose-response curves of healthy sleep score and physical activity with metabolic syndrome were plotted using restricted cubic spline curves. Multivariate logistic regression model was used to analyze the independent and combined effects of sleep quality and physical activity on MS risk. Results: A total of 10 209 participants were included. The mean age of the subjects was (47.1±9.1) years, and males accounted for 51.3% (5 275/10 209). The prevalence of MS was significantly associated with the healthy sleep score and physical activity. Compared to the subjects with healthy sleep, OR (95%CI) of MS with intermediate, and poor sleep were 1.20(1.06-1.35), 1.23(1.04-1.45), respectively. Compared to the subjects with high physical activity, OR (95%CI) of MS with medium, low physical activity was 1.34(1.15-1.56), 1.42(1.19-1.70), respectively. There was a significant interaction between sleep and physical activity in MS (P for interaction=0.002). Compared to the subjects with high physical activity and healthy sleep, OR (95%CI) of MS with poor sleep and high physical activity was 2.03 (1.24-3.33, P for trend=0.016). Conclusion: Poor sleep quality and lack of physical activity are not only independent risk factors for an increased risk of MS but also have a combined effect with an increased risk of MS.
Collapse
Affiliation(s)
- Y Wang
- Heart Centre, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Q Zhao
- Heart Centre, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Xieyire Hamulati
- Heart Centre, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Gulijiehere Tuerxun
- Heart Centre, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Munire Mutalifu
- Heart Centre, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - X M Li
- Heart Centre, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Y N Yang
- Heart Centre, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| |
Collapse
|
28
|
Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Aliberti R, Amoroso A, An Q, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen G, Chen HS, Chen ML, Chen SJ, Chen XR, Chen YB, Chen ZJ, Cheng WS, Cibinetto G, Cossio F, Dai HL, Dai JP, Dai XC, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Gao YN, Gao Y, Gao Y, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Hao XQ, Harris FA, He KL, Heinsius FHH, Heinz CH, Heng YK, Herold C, Himmelreich M, Holtmann T, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang LQ, Huang XT, Huang YP, Hussain T, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiao JB, Jiao Z, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Kolcu OB, Kopf B, Kuemmel M, Kuessner MK, Kupsc A, Kurth MG, Kühn W, Lane JJ, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li HB, Li HJ, Li JQ, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li SY, Li WD, Li WG, Li XH, Li XL, Li ZY, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu L, Liu MH, Liu Q, Liu SB, Liu S, Liu T, Liu WM, Liu X, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JD, Lu JG, Lu XL, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XX, Ma XY, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qiao CF, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Qu SQ, Ravindran K, Redmer CF, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan DC, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Shi HC, Shi RS, Shi X, Shi XD, Song WM, Song YX, Sosio S, Spataro S, Su KX, Sun GX, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun YJ, Sun YK, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Teng JX, Thoren V, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HP, Wang K, Wang LL, Wang M, Wang M, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZY, Wang Z, Wang Z, Wei DH, Weidenkaff P, Weidner F, Wen SP, White DJ, Wiedner UW, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu Z, Xia L, Xiao H, Xiao SY, Xiao ZJ, Xie XH, Xie YG, Xie YH, Xing TY, Xu GF, Xu JJ, Xu QJ, Xu W, Xu XP, Xu YC, Yan F, Yan L, Yan WB, Yan WC, Yan X, Yang HJ, Yang HX, Yang L, Yang SL, Yang YH, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yuan CZ, Yuan L, Yuan W, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng Y, Zhang BX, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JJ, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang L, Zhang SF, Zhang XD, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhu AN, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. Search for Λ[over ¯]-Λ Baryon-Number-Violating Oscillations in the Decay J/ψ→pK^{-}Λ[over ¯]+c.c. Phys Rev Lett 2023; 131:121801. [PMID: 37802947 DOI: 10.1103/physrevlett.131.121801] [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: 05/08/2023] [Revised: 08/14/2023] [Accepted: 08/29/2023] [Indexed: 10/08/2023]
Abstract
We report on the first search for Λ[over ¯]-Λ oscillations in the decay J/ψ→pK^{-}Λ[over ¯]+c.c. by analyzing 1.31×10^{9} J/ψ events accumulated with the BESIII detector at the BEPCII collider. The J/ψ events are produced using e^{+}e^{-} collisions at a center of mass energy sqrt[s]=3.097 GeV. No evidence for hyperon oscillations is observed. The upper limit for the oscillation rate of Λ[over ¯] to Λ hyperons is determined to be P(Λ)=[B(J/ψ→pK^{-}Λ+c.c.)/B(J/ψ→pK^{-}Λ[over ¯]+c.c.)]<4.4×10^{-6} corresponding to an oscillation parameter δm_{ΛΛ[over ¯]} of less than 3.8×10^{-18} GeV at the 90% confidence level.
Collapse
Affiliation(s)
- M Ablikim
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M N Achasov
- Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - P Adlarson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - S Ahmed
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - M Albrecht
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - R Aliberti
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - A Amoroso
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Q An
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Bai
- Southeast University, Nanjing 211100, People's Republic of China
| | - O Bakina
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - R Baldini Ferroli
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - I Balossino
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - Y Ban
- Peking University, Beijing 100871, People's Republic of China
| | - K Begzsuren
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - N Berger
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Bertani
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - D Bettoni
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - F Bianchi
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - J Bloms
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - A Bortone
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - I Boyko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - R A Briere
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - H Cai
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X Cai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - A Calcaterra
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - G F Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - N Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S A Cetin
- Turkish Accelerator Center Particle Factory Group, Istinye University, 34010, Istanbul, Turkey
| | - J F Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W L Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G Chelkov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - G Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H S Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M L Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S J Chen
- Nanjing University, Nanjing 210093, People's Republic of China
| | - X R Chen
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y B Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z J Chen
- Hunan University, Changsha 410082, People's Republic of China
| | | | - G Cibinetto
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | | | - H L Dai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J P Dai
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - X C Dai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - A Dbeyssi
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - R E de Boer
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - D Dedovich
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Z Y Deng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - A Denig
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - I Denysenko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - M Destefanis
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - F De Mori
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Y Ding
- Liaoning University, Shenyang 110036, People's Republic of China
| | - J Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Dong
- Wuhan University, Wuhan 430072, People's Republic of China
| | - S X Du
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - J Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S S Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Farinelli
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - L Fava
- University of Eastern Piedmont, I-15121, Alessandria, Italy
- INFN, I-10125, Turin, Italy
| | - F Feldbauer
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - G Felici
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - C Q Feng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M Fritsch
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - C D Fu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y N Gao
- Peking University, Beijing 100871, People's Republic of China
| | - Ya Gao
- University of South China, Hengyang 421001, People's Republic of China
| | - Yang Gao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - I Garzia
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
- University of Ferrara, I-44122, Ferrara, Italy
| | - E M Gersabeck
- University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
| | - A Gilman
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - K Goetzen
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - L Gong
- Liaoning University, Shenyang 110036, People's Republic of China
| | - W X Gong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W Gradl
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Greco
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - L M Gu
- Nanjing University, Nanjing 210093, People's Republic of China
| | - M H Gu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S Gu
- Beihang University, Beijing 100191, People's Republic of China
| | - Y T Gu
- Guangxi University, Nanning 530004, People's Republic of China
| | - C Y Guan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - A Q Guo
- Indiana University, Bloomington, Indiana 47405, USA
| | - L B Guo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R P Guo
- Shandong Normal University, Jinan 250014, People's Republic of China
| | - Y P Guo
- Fudan University, Shanghai 200433, People's Republic of China
| | - A Guskov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - T T Han
- Shandong University, Jinan 250100, People's Republic of China
| | - X Q Hao
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - F A Harris
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K L He
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | | | - C H Heinz
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Y K Heng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C Herold
- Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
| | - M Himmelreich
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - T Holtmann
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - Y R Hou
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z L Hou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H M Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J F Hu
- South China Normal University, Guangzhou 510006, People's Republic of China
| | - T Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - G S Huang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - L Q Huang
- University of South China, Hengyang 421001, People's Republic of China
| | - X T Huang
- Shandong University, Jinan 250100, People's Republic of China
| | - Y P Huang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - T Hussain
- University of the Punjab, Lahore-54590, Pakistan
| | - W Imoehl
- Indiana University, Bloomington, Indiana 47405, USA
| | - M Irshad
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - S Jaeger
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - S Janchiv
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - Q Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q P Ji
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - X B Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X L Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X S Jiang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J B Jiao
- Shandong University, Jinan 250100, People's Republic of China
| | - Z Jiao
- Huangshan College, Huangshan 245000, People's Republic of China
| | - S Jin
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Y Jin
- University of Jinan, Jinan 250022, People's Republic of China
| | - T Johansson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | | | - X S Kang
- Liaoning University, Shenyang 110036, People's Republic of China
| | - R Kappert
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - M Kavatsyuk
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - B C Ke
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - I K Keshk
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - A Khoukaz
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - P Kiese
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - R Kiuchi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Kliemt
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - O B Kolcu
- Turkish Accelerator Center Particle Factory Group, Istinye University, 34010, Istanbul, Turkey
| | - B Kopf
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - M Kuemmel
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | | | - A Kupsc
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - M G Kurth
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W Kühn
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - J J Lane
- University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
| | - P Larin
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - A Lavania
- Indian Institute of Technology Madras, Chennai 600036, India
| | - L Lavezzi
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Z H Lei
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Leithoff
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Lellmann
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - T Lenz
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - C Li
- Qufu Normal University, Qufu 273165, People's Republic of China
| | - C H Li
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - Cheng Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - D M Li
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - F Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H B Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H J Li
- Fudan University, Shanghai 200433, People's Republic of China
| | - J Q Li
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - J W Li
- Shandong University, Jinan 250100, People's Republic of China
| | - Ke Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L K Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Lei Li
- Beijing Institute of Petrochemical Technology, Beijing 102617, People's Republic of China
| | - P L Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - P R Li
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - S Y Li
- Tsinghua University, Beijing 100084, People's Republic of China
| | - W D Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X H Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X L Li
- Shandong University, Jinan 250100, People's Republic of China
| | - Z Y Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H Liang
- Jilin University, Changchun 130012, People's Republic of China
| | - H Liang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H Liang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y F Liang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - Y T Liang
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G R Liao
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - L Z Liao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Libby
- Indian Institute of Technology Madras, Chennai 600036, India
| | - A Limphirat
- Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
| | - B J Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - C X Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - F H Liu
- Shanxi University, Taiyuan 030006, People's Republic of China
| | - Fang Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Feng Liu
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - H B Liu
- Guangxi University, Nanning 530004, People's Republic of China
| | - H M Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Huanhuan Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Huihui Liu
- Henan University of Science and Technology, Luoyang 471003, People's Republic of China
| | - J B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J Y Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K Y Liu
- Liaoning University, Shenyang 110036, People's Republic of China
| | - L Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M H Liu
- Fudan University, Shanghai 200433, People's Republic of China
| | - Q Liu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Shuai Liu
- Soochow University, Suzhou 215006, People's Republic of China
| | - T Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W M Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Liu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Y B Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - Z A Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z Q Liu
- Shandong University, Jinan 250100, People's Republic of China
| | - X C Lou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F X Lu
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - H J Lu
- Huangshan College, Huangshan 245000, People's Republic of China
| | - J D Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J G Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X L Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y P Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - C L Luo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - M X Luo
- Zhejiang University, Hangzhou 310027, People's Republic of China
| | - T Luo
- Fudan University, Shanghai 200433, People's Republic of China
| | - X L Luo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | | | - X R Lyu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F C Ma
- Liaoning University, Shenyang 110036, People's Republic of China
| | - H L Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L L Ma
- Shandong University, Jinan 250100, People's Republic of China
| | - M M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Q Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - R T Ma
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X X Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - F E Maas
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - M Maggiora
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - S Maldaner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - S Malde
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - Q A Malik
- University of the Punjab, Lahore-54590, Pakistan
| | - A Mangoni
- INFN Sezione di Perugia, I-06100, Perugia, Italy
| | - Y J Mao
- Peking University, Beijing 100871, People's Republic of China
| | - Z P Mao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Marcello
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Z X Meng
- University of Jinan, Jinan 250022, People's Republic of China
| | - J G Messchendorp
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - G Mezzadri
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - T J Min
- Nanjing University, Nanjing 210093, People's Republic of China
| | - R E Mitchell
- Indiana University, Bloomington, Indiana 47405, USA
| | - X H Mo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - N Yu Muchnoi
- Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - H Muramatsu
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - S Nakhoul
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - Y Nefedov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - F Nerling
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - I B Nikolaev
- Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - Z Ning
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S Nisar
- COMSATS University Islamabad, Lahore Campus, Defence Road, Off Raiwind Road, 54000 Lahore, Pakistan
| | - S L Olsen
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q Ouyang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Pacetti
- INFN Sezione di Perugia, I-06100, Perugia, Italy
- University of Perugia, I-06100, Perugia, Italy
| | - X Pan
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y Pan
- University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
| | - A Pathak
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - P Patteri
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - M Pelizaeus
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - H P Peng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K Peters
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - J L Ping
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R G Ping
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - A Pitka
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - R Poling
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - V Prasad
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Qi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H R Qi
- Tsinghua University, Beijing 100084, People's Republic of China
| | - M Qi
- Nanjing University, Nanjing 210093, People's Republic of China
| | - T Y Qi
- Beihang University, Beijing 100191, People's Republic of China
| | - S Qian
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W B Qian
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C F Qiao
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L Q Qin
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - X P Qin
- Fudan University, Shanghai 200433, People's Republic of China
| | - X S Qin
- Shandong University, Jinan 250100, People's Republic of China
| | - Z H Qin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J F Qiu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Q Qu
- Nankai University, Tianjin 300071, People's Republic of China
| | - S Q Qu
- Tsinghua University, Beijing 100084, People's Republic of China
| | - K Ravindran
- Indian Institute of Technology Madras, Chennai 600036, India
| | - C F Redmer
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | | | - V Rodin
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - M Rolo
- INFN, I-10125, Turin, Italy
| | - G Rong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Ch Rosner
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - A Sarantsev
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Y Schelhaas
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - C Schnier
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - K Schoenning
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - M Scodeggio
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
- University of Ferrara, I-44122, Ferrara, Italy
| | - D C Shan
- Soochow University, Suzhou 215006, People's Republic of China
| | - W Shan
- Hunan Normal University, Changsha 410081, People's Republic of China
| | - X Y Shan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M Shao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C P Shen
- Fudan University, Shanghai 200433, People's Republic of China
| | - P X Shen
- Nankai University, Tianjin 300071, People's Republic of China
| | - X Y Shen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H C Shi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - R S Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X D Shi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - W M Song
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- Jilin University, Changchun 130012, People's Republic of China
| | - Y X Song
- Peking University, Beijing 100871, People's Republic of China
| | - S Sosio
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - S Spataro
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - K X Su
- Wuhan University, Wuhan 430072, People's Republic of China
| | - G X Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J F Sun
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - L Sun
- Wuhan University, Wuhan 430072, People's Republic of China
| | - S S Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W Y Sun
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - Y J Sun
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y K Sun
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Z Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z T Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y H Tan
- Wuhan University, Wuhan 430072, People's Republic of China
| | - Y X Tan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C J Tang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - G Y Tang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Tang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - J X Teng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - V Thoren
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - I Uman
- Near East University, Nicosia, North Cyprus, 99138, Mersin 10, Turkey
| | - B Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B L Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C W Wang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - D Y Wang
- Peking University, Beijing 100871, People's Republic of China
| | - H P Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L L Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M Wang
- Shandong University, Jinan 250100, People's Republic of China
| | - Meng Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W H Wang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - W P Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Wang
- Peking University, Beijing 100871, People's Republic of China
| | - X F Wang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - X L Wang
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y D Wang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - Y F Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Q Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z Y Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Ziyi Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Zongyuan Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - D H Wei
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - P Weidenkaff
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - F Weidner
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - S P Wen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D J White
- University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
| | - U W Wiedner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - G Wilkinson
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - M Wolke
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | | | - J F Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L H Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L J Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Wu
- Fudan University, Shanghai 200433, People's Republic of China
| | - Z Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Xia
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Xiao
- Fudan University, Shanghai 200433, People's Republic of China
| | - S Y Xiao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z J Xiao
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - X H Xie
- Peking University, Beijing 100871, People's Republic of China
| | - Y G Xie
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y H Xie
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - T Y Xing
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G F Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J J Xu
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Q J Xu
- Hangzhou Normal University, Hangzhou 310036, People's Republic of China
| | - W Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X P Xu
- Soochow University, Suzhou 215006, People's Republic of China
| | - Y C Xu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F Yan
- Fudan University, Shanghai 200433, People's Republic of China
| | - L Yan
- Fudan University, Shanghai 200433, People's Republic of China
| | - W B Yan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - W C Yan
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Xu Yan
- Soochow University, Suzhou 215006, People's Republic of China
| | - H J Yang
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - H X Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L Yang
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - S L Yang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y H Yang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Yifan Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Ye
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - M H Ye
- China Center of Advanced Science and Technology, Beijing 100190, People's Republic of China
| | - J H Yin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Y You
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - B X Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C X Yu
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J S Yu
- Hunan University, Changsha 410082, People's Republic of China
| | - T Yu
- University of South China, Hengyang 421001, People's Republic of China
| | - C Z Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L Yuan
- Beihang University, Beijing 100191, People's Republic of China
| | - W Yuan
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Y Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z Y Yuan
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - C X Yue
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - A A Zafar
- University of the Punjab, Lahore-54590, Pakistan
| | - Y Zeng
- Hunan University, Changsha 410082, People's Republic of China
| | - B X Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - G Y Zhang
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - H Zhang
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H H Zhang
- Jilin University, Changchun 130012, People's Republic of China
| | - H H Zhang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J J Zhang
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - J Q Zhang
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - J W Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Z Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Jianyu Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Jiawei Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Lei Zhang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - S F Zhang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - X D Zhang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - X Y Zhang
- Shandong University, Jinan 250100, People's Republic of China
| | - Y Zhang
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - Y T Zhang
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Y H Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Yan Zhang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Yao Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Y Zhang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - G Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Zhao
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - J Y Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Z Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Lei Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Ling Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M G Zhao
- Nankai University, Tianjin 300071, People's Republic of China
| | - Q Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S J Zhao
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Y B Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y X Zhao
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z G Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A Zhemchugov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - B Zheng
- University of South China, Hengyang 421001, People's Republic of China
| | - J P Zheng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y H Zheng
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B Zhong
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - C Zhong
- University of South China, Hengyang 421001, People's Republic of China
| | - L P Zhou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q Zhou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Zhou
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X K Zhou
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X R Zhou
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A N Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Zhu
- Nankai University, Tianjin 300071, People's Republic of China
| | - K Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K J Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S H Zhu
- University of Science and Technology Liaoning, Anshan 114051, People's Republic of China
| | - W J Zhu
- Fudan University, Shanghai 200433, People's Republic of China
| | - W J Zhu
- Nankai University, Tianjin 300071, People's Republic of China
| | - Y C Zhu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Z A Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B S Zou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J H Zou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| |
Collapse
|
29
|
Du G, Wang X, Zhao Q. Targeted Removal of Galloylated Flavanols to Adjust Wine Astringency by Using Molecular Imprinting Technology. Foods 2023; 12:3331. [PMID: 37761040 PMCID: PMC10530250 DOI: 10.3390/foods12183331] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 08/10/2023] [Accepted: 08/22/2023] [Indexed: 09/29/2023] Open
Abstract
Excessive galloylated flavanols not only cause instability in the wine but also lead to unbalanced astringency. Although clarification agents are always used to precipitate unstable tannins in wine, the non-specific adsorption of tannins results in the failure to precisely regulate the tannin composition of the wine. In this work, molecularly imprinted polymers (MIPs) with template molecules of galloylated flavanols were designed to specifically adsorb gallotannins to reduce wine astringency. The results showed that the "pores" on the surface of the MIPs are the structural basis for the specific adsorption of the target substances, and the adsorption process is a chemically driven single-molecule layer adsorption. Moreover, in the mono/oligomeric gallotannin-rich model solution, the adsorption of gallotannins by I-MIPs prepared as single template molecules reached 71.0%, and the adsorption capacity of MIPs for monomeric gallotannins was about 6.0 times higher than polymeric gallotannins. Given the lack of technology for the targeted adsorption of tannins from wine, this work explored the targeted modulation of wine astringency by using molecular imprinting techniques.
Collapse
Affiliation(s)
- Guorong Du
- School of Biological and Environmental Engineering, Xi’an University, Xi’an 710065, China;
| | - Xiaoyu Wang
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, 620 West Chang’an Avenue, Xi’an 710119, China
- Engineering Research Center for High-Valued Utilization of Fruit Resources in Western China, Ministry of Education, Xi’an 710119, China
| | - Qinghao Zhao
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, 620 West Chang’an Avenue, Xi’an 710119, China
| |
Collapse
|
30
|
Chen GC, Yang T, Zhao Q, Tang JM, Chuan H, Lin L, Gao HX. [Autologous umbilical cord mesenchymal stem cells for treatment of severe skin injury in an extremely low birth weight infant]. Zhonghua Er Ke Za Zhi 2023; 61:839-841. [PMID: 37650167 DOI: 10.3760/cma.j.cn112140-20230324-00206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Affiliation(s)
- G C Chen
- Department of Neonatology, Gansu Provincial Women and Child-care Hospital, Gansu Central Hospital, Gansu Provincial Pediatric Medical Center, Pediatric Clinical Medical Research Center of Gansu Province, Lanzhou 730050, China
| | - T Yang
- Department of Neonatology, Gansu Provincial Women and Child-care Hospital, Gansu Central Hospital, Gansu Provincial Pediatric Medical Center, Pediatric Clinical Medical Research Center of Gansu Province, Lanzhou 730050, China
| | - Q Zhao
- Department of Hematological Oncology, Gansu Provincial Women and Child-care Hospital, Gansu Central Hospital, Lanzhou 730050, China
| | - J M Tang
- Department of Neonatology, Gansu Provincial Women and Child-care Hospital, Gansu Central Hospital, Gansu Provincial Pediatric Medical Center, Pediatric Clinical Medical Research Center of Gansu Province, Lanzhou 730050, China
| | - H Chuan
- Department of Neonatology, Gansu Provincial Women and Child-care Hospital, Gansu Central Hospital, Gansu Provincial Pediatric Medical Center, Pediatric Clinical Medical Research Center of Gansu Province, Lanzhou 730050, China
| | - L Lin
- Department of Hematological Oncology, Gansu Provincial Women and Child-care Hospital, Gansu Central Hospital, Lanzhou 730050, China
| | - H X Gao
- Department of Neonatology, Gansu Provincial Women and Child-care Hospital, Gansu Central Hospital, Gansu Provincial Pediatric Medical Center, Pediatric Clinical Medical Research Center of Gansu Province, Lanzhou 730050, China
| |
Collapse
|
31
|
Gu BL, She Y, Pei GK, Du Y, Yang R, Ma LX, Zhao Q, Gao SG. Systematic analysis of prophages carried by Porphyromonas gingivalis. Infect Genet Evol 2023; 113:105489. [PMID: 37572952 DOI: 10.1016/j.meegid.2023.105489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 07/17/2023] [Accepted: 08/09/2023] [Indexed: 08/14/2023]
Abstract
To systematically investigate the prophages carrying in Porphyromonas gingivalis (P. gingivalis) strains, analyze potential antibiotic resistance genes (ARGs) and virulence genes in these prophages. We collected 90 whole genome sequences of P. gingivalis from NCBI and utilized the Prophage Hunter online software to predict prophages; Comprehensive antibiotic research database (CARD) and virulence factors database (VFDB) were adopted to analyze the ARGs and virulence factors (VFs) carried by the prophages. Sixty-nine prophages were identified among 24/90 P. gingivalis strains, including 17 active prophages (18.9%) and 52 ambiguous prophages (57.8%). The proportion of prophages carried by each P. gingivalis genome ranged from 0.5% to 6.7%. A total of 188 antibiotic resistance genes belonging to 25 phenotypes and 46 different families with six mechanisms of antibiotic resistance were identified in the 17 active prophages. Three active prophages encoded 4 virulence genes belonging to type III and type VI secretion systems. The potential hosts of these virulence genes included Escherichia coli, Shigella sonnei, Salmonella typhi, and Klebsiella pneumoniae. In conclusion, 26.7% P. gingivalis strains carry prophages, while the proportion of prophage genes in the P. gingivalis genome is relatively low. In addition, approximately 39.7% of the P. gingivalis prophage genes have ARGs identified, mainly against streptogramin, peptides, and aminoglycosides. Only a few prophages carry virulence genes. Prophages may play an important role in the acquisition, dissemination of antibiotic resistance genes, and pathogenicity evolution in P. gingivalis.
Collapse
Affiliation(s)
- B L Gu
- Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology, Jianxi, Luoyang, Henan 471003, China
| | - Y She
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - G K Pei
- Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology, Jianxi, Luoyang, Henan 471003, China
| | - Y Du
- Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology, Jianxi, Luoyang, Henan 471003, China
| | - R Yang
- Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology, Jianxi, Luoyang, Henan 471003, China
| | - L X Ma
- Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology, Jianxi, Luoyang, Henan 471003, China
| | - Q Zhao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
| | - S G Gao
- Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology, Jianxi, Luoyang, Henan 471003, China.
| |
Collapse
|
32
|
Guo HH, Hu YY, Tian Y, Yang PG, Ding PA, Wang D, Zhang ZD, Zhao XF, Liu Y, Li Y, Zhao Q. [Da Vinci robotic surgery for synchronous gastric and colorectal primary tumors: 8 cases]. Zhonghua Wei Chang Wai Ke Za Zhi 2023; 26:787-789. [PMID: 37574296 DOI: 10.3760/cma.j.cn441530-20221029-00440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
|
33
|
Zou RY, Zhao Q, Tian YQ, Yan X, Qiu XH, Gao YJ, Liu Y, Huang M, Cao M, Dai JH, Cai HR. [Clinical characteristics and prognostic factors of patients with anti-melanoma differentiation-associated gene 5 antibody-positive dermatomyositis associated interstitial lung disease]. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46:781-790. [PMID: 37536988 DOI: 10.3760/cma.j.cn112147-20221017-00821] [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: 08/05/2023]
Abstract
Objective: To analyze the clinical characteristics and prognostic factors of patients with anti-melanoma differentiation-associated gene 5 (anti-MDA5)-positive dermatomyositis associated interstitial lung disease (DM-ILD). Methods: The patients with MDA5+DM-ILD who were admitted to Department of Respiratory Medicine, Nanjing Drum Tower Hospital from January 2017 to March 2021 were enrolled. The clinical data and survival information were analyzed retrospectively. Patients were divided into survival group or death group, and rapid progressive ILD (RP-ILD) group or non-rapid progressive ILD group, according to their survival status and clinical progression. Results: A total of 105 patients with anti-MDA5+DM-ILD (median age of onset 54 years) were enrolled, 58% being female (61 cases). The main sub-type of dermatomyositis was amyopathic dermatomyositis (n=74, 70%), followed by dermatomyositis (n=31, 30%). The main extrapulmonary manifestations were skin lesions (n=60, 57.1%), muscle manifestations(n=20, 19%) and arthralgia/arthritis (n=20, 19%). 15.4% of the patients had positive ANA (antibody titer≥1∶320), and 61.9% of the patients had anti-RO-52 kDa antibody. A total of 66 patients (62.8%) developed RP-ILD, and 58 patients (56.3%) died. Lower oxygenation index (OR=0.974, 95%CI:0.954-0.994, P=0.012) and no joint pain (OR=0.032, 95%CI: 0.002-0.663 P=0.026) were independent risk factors for RP-ILD. Cox regression analysis showed that RP-ILD (HR=3.194, 95%CI:1.025-9.954, P=0.045), older than 53 years (HR=3.450, 95%CI: 1.388-8.577, P=0.008), ferritin level more than 1 330.5 ng/ml (HR=3.032, 95%CI 1.208-7.610, P=0.018) and C-reactive protein (CRP) above 16.95 mg/L (HR=2.794, 95%CI:1.102-7.084, P=0.030) were independent predictors of mortality. Conclusions: The clinical manifestations of patients with anti-MDA5+DM-ILD presenting to the respiratory department were heterogeneous, with most being amyopathic dermatomyositis, and both the incidence of RP-ILD and the risk of death were high. Even in the absence of associated rash, joint, or muscle manifestations, anti-MDA5 antibody screening should be considered in patients with rapidly progressive ILD who were negative on baseline autoantibody screening but positive for anti-RO52kDa antibody.
Collapse
Affiliation(s)
- R Y Zou
- Department of Respiratory and Critical Care Medicine of Nanjing Drum Tower Hospital, Nanjing 210000, China
| | - Q Zhao
- Department of Respiratory and Critical Care Medicine of Nanjing Drum Tower Hospital, Nanjing 210000, China
| | - Y Q Tian
- Department of Respiratory and Critical Care Medicine of Nanjing Drum Tower Hospital, Nanjing 210000, China
| | - X Yan
- Department of Respiratory and Critical Care Medicine of Nanjing Drum Tower Hospital, Nanjing 210000, China
| | - X H Qiu
- Department of Respiratory and Critical Care Medicine of Nanjing Drum Tower Hospital, Nanjing 210000, China
| | - Y J Gao
- Department of Respiratory and Critical Care Medicine of Nanjing Drum Tower Hospital, Nanjing 210000, China
| | - Y Liu
- Department of Respiratory and Critical Care Medicine of Nanjing Drum Tower Hospital, Nanjing 210000, China
| | - M Huang
- Department of Respiratory and Critical Care Medicine of Nanjing Drum Tower Hospital, Nanjing 210000, China
| | - M Cao
- Department of Respiratory and Critical Care Medicine of Nanjing Drum Tower Hospital, Nanjing 210000, China
| | - J H Dai
- Department of Respiratory and Critical Care Medicine of Nanjing Drum Tower Hospital, Nanjing 210000, China
| | - H R Cai
- Department of Respiratory and Critical Care Medicine of Nanjing Drum Tower Hospital, Nanjing 210000, China
| |
Collapse
|
34
|
Lv J, Zhang B, Ye Y, Li Z, Wang W, Zhao Q, Liu Q, Zhao Z, Zhang H, Wang B, Yu Z, Duan Z, Guo S, Zhao Y, Gao R, Xu H, Wu Y. Assessment of cardio-renal-hepatic function in patients with valvular heart disease: a multi-biomarker approach-the cardio-renal-hepatic score. BMC Med 2023; 21:257. [PMID: 37455313 DOI: 10.1186/s12916-023-02971-y] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 07/04/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND Valvular heart disease (VHD) can cause damage to extra-cardiac organs, and lead to multi-organ dysfunction. However, little is known about the cardio-renal-hepatic co-dysfunction, as well as its prognostic implications in patients with VHD. The study sought to develop a multi-biomarker index to assess heart, kidney, and liver function in an integrative fashion, and investigate the prognostic role of cardio-renal-hepatic function in VHD. METHODS Using a large, contemporary, prospective cohort of 6004 patients with VHD, the study developed a multi-biomarker score for predicting all-cause mortality based on biomarkers reflecting heart, kidney, and liver function (N-terminal pro-B-type natriuretic peptide [NT-proBNP], creatinine, and albumin). The score was externally validated in another contemporary, prospective cohort of 3156 patients with VHD. RESULTS During a median follow up of 731 (704-748) days, 594 (9.9%) deaths occurred. Increasing levels of NT-proBNP, creatinine, and albumin were independently and monotonically associated with mortality, and a weighted multi-biomarker index, named the cardio-renal-hepatic (CRH) score, was developed based on Cox regression coefficients of these biomarkers. The CRH score was a strong and independent predictor of mortality, with 1-point increase carrying over two times of mortality risk (overall adjusted hazard ratio [95% confidence interval]: 2.095 [1.891-2.320], P < 0.001). The score provided complementary prognostic information beyond conventional risk factors (C index: 0.78 vs 0.81; overall net reclassification improvement index [95% confidence interval]: 0.255 [0.204-0.299]; likelihood ratio test P < 0.001), and was identified as the most important predictor of mortality by the proportion of explainable log-likelihood ratio χ2 statistics, the best subset analysis, as well as the random survival forest analysis in most types of VHD. The predictive performance of the score was also demonstrated in patients under conservative treatment, with normal left ventricular systolic function, or with primary VHD. It achieved satisfactory discrimination (C index: 0.78 and 0.72) and calibration in both derivation and validation cohorts. CONCLUSIONS A multi-biomarker index was developed to assess cardio-renal-hepatic function in patients with VHD. The cardio-renal-hepatic co-dysfunction is a powerful predictor of mortality and should be considered in clinical management decisions.
Collapse
Affiliation(s)
- Junxing Lv
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Bin Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Yunqing Ye
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Zhe Li
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Weiwei Wang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Qinghao Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Qingrong Liu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Zhenyan Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Haitong Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Bincheng Wang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Zikai Yu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Zhenya Duan
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Shuai Guo
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Yanyan Zhao
- Medical Research & Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Runlin Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Haiyan Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China.
| | - Yongjian Wu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 Beilishi Road, Xicheng District, Beijing, 100037, China.
| |
Collapse
|
35
|
Zhao Q, Du G, Zhao P, Guo A, Cao X, Cheng C, Liu H, Wang F, Zhao Y, Liu Y, Wang X. Investigating wine astringency profiles by characterizing tannin fractions in Cabernet Sauvignon wines and model wines. Food Chem 2023; 414:135673. [PMID: 36821921 DOI: 10.1016/j.foodchem.2023.135673] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 01/31/2023] [Accepted: 02/09/2023] [Indexed: 02/19/2023]
Abstract
Contribution of various phenols on wine astringency profiles was far from clear explanations. To effectively describe wine astringency profiles and determined the function of tannins/matrix (pH and ethanol), multiple chemical analyses combined RATA (Rate-all-that-apply) sensory method were applied in Cabernet Sauvignon and model wines. Results showed that polymeric flavanols determined the bulk of wine astringency intensity, oligomeric tannins enriched the smoothness and periodontium astringency, and monomeric phenol enhanced overall astringency intensity through synergistic effect. Astringency balance was effectively quantification, and its potential correlation relationship with epicatechin extension subunit (0.83) and fluorescence peak shift (0.75) cannot be ignored. The astringency profiles of condensed tannins with anthocyanins were enhanced. Low-pH (from 3.8 to 3.0) enhanced astringency by increasing the tannins affinity to proteins, while ethanol (from 10.0 % ∼ 15.0 %) decreased the hydrophobicity bond between tannins-protein interaction. This paper provided new insights to explain wine astringency profiles and a reference for astringency modification during winemaking.
Collapse
Affiliation(s)
- Qinghao Zhao
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China
| | - Guorong Du
- School of Biological and Environmental Engineering, Xi'an University, Xi'an 710065, PR China
| | - Pengtao Zhao
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China; Engineering Research Center for High-Valued Utilization of Fruit Resources in Western China, Ministry of Education, Xi'an 710119, PR China; National Research & Development Center of Apple Processing Technology, Xi'an 710119, PR China.
| | - Anque Guo
- College of Enology, Northwest A&F University, Yangling 712100, PR China
| | - Xiaomeng Cao
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China
| | - Chenyaqiong Cheng
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China
| | - Hui Liu
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China
| | - Fei Wang
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China
| | - Yuefan Zhao
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China
| | - Yan Liu
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China
| | - Xiaoyu Wang
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China; Engineering Research Center for High-Valued Utilization of Fruit Resources in Western China, Ministry of Education, Xi'an 710119, PR China; National Research & Development Center of Apple Processing Technology, Xi'an 710119, PR China.
| |
Collapse
|
36
|
Hou SS, Wu YL, Luo W, Yin X, Sun ZX, Zhao Q, Zhao GM, Jiang YG, Wang N, Jiang QW. [Association between sedentary behavior and force expiratory volume in 1 second reduction in middle-aged and elderly adults in communities]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1092-1098. [PMID: 37482712 DOI: 10.3760/cma.j.cn112338-20221111-00963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objective: To analyze the relationship between sedentary behavior and the force expiratory volume in 1 second (FEV1) reduction in middle-aged and elderly people in communities. Methods: The participants aged ≥40 years were randomly selected from a natural population cohort in Songjiang District, Shanghai, for pulmonary function tests and survey by using international physical activity questionnaire, a generalized additive model was used to analyze the association between sedentary behavior and FEV1 reduction in the study population and different sex-age subgroups. Results: A total of 3 121 study subjects aged ≥40 years were included. The prevalence of FEV1 reduction was 14.8%, which was higher in men than in women. There were 24.8% participants were completely sedentary. The prevalence of FEV1 reduction in women aged <60 years in complete sedentary group was 2.04 (95%CI: 1.11-3.72) times higher than that in non-complete sedentary group. In men aged <60 years, the prevalence of FEV1 reduction increased with daily sedentary time (OR=1.16, 95%CI: 1.04-1.29), and the prevalence of FEV1 reduction was also higher in those with sedentary time >5 hours/day than those with sedentary time ≤5 hours/day (OR=3.02, 95%CI: 1.28-7.16). The sensitivity analysis also found such associations. Conclusions: FEV1 reduction rate in age group <60 years was associated with sedentary behavior. Complete sedentary behavior or absence of moderate to vigorous physical activity played important roles in FEV1 reduction in women, while men were more likely to be affected by increased sedentary time, which had no association with physical activity. Reducing sedentary time to avoid complete sedentary behavior, along with increased physical activity, should be encouraged in middle-aged and elderly adults in communities to improve their pulmonary function.
Collapse
Affiliation(s)
- S S Hou
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Y L Wu
- Songjiang District Center for Disease Control and Prevention, Shanghai 201620, China
| | - W Luo
- Songjiang District Center for Disease Control and Prevention, Shanghai 201620, China
| | - X Yin
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Z X Sun
- Songjiang District Center for Disease Control and Prevention, Shanghai 201620, China
| | - Q Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - G M Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Y G Jiang
- Songjiang District Center for Disease Control and Prevention, Shanghai 201620, China
| | - N Wang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Q W Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| |
Collapse
|
37
|
Wang YY, Zhao Q, Chen B, Wang N, Zhang TJ, Jiang YG, Wu YL, He N, Zhao GM, Liu X. [Association between metabolism-related chronic disease combination and prevalence of non-alcoholic fatty liver disease in community residents in Shanghai]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1106-1113. [PMID: 37482714 DOI: 10.3760/cma.j.cn112338-20230106-00012] [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: 07/25/2023]
Abstract
Objective: To explore the combination of metabolism-related chronic diseases associated with the prevalence of non-alcoholic fatty liver disease (NAFLD) in community residents in Shanghai. Methods: The baseline data of Shanghai Suburban Adult Cohort and Biobank were used to understand the prevalence of five metabolism-related chronic diseases, including obesity, hypertension, hyperlipidemia, gout and diabetes, based on questionnaire survey, physical examination and blood biochemical detection. NAFLD was diagnosed by B-ultrasound detection and questionnaire. Multivariable logistic regression model was used to analyze the association of 31 metabolism-related chronic diseases combinations with the prevalence of NAFLD. Results: The median age (Q1, Q3) of 65 477 subjects was 60 (51, 66) years, and men accounted for 40.6%. The overall prevalence of NAFLD was 38.2%, and the prevalence of HAFLD in patients without any of the five metabolism-related chronic diseases was 12.0%. The chronic disease combination with the strongest association with NAFLD was obesity + hypertension + hyperlipidemia + gout + diabetes in the total population (OR=37.94, 95%CI: 31.02-46.41), in women (OR=36.99, 95%CI: 28.78-47.54) and in age group ≥60 years (OR=36.19, 95%CI: 28.25-46.36). The chronic disease combination with the strongest association with NAFLD was obesity + hyperlipidemia + gout + diabetes in men (OR=50.70, 95%CI: 24.62-104.40) and in age group <60 years (OR=49.58, 95%CI: 24.22-101.47). Conclusions: The prevalence of NAFLD in community residents in Shanghai was high. Attention needs to be paid to health of obese people and weight loss should be promoted for them. Community health education should be strengthened for patients complicated with gout, diabetes, hyperlipidemia and hypertension and it is necessary to correct abnormal serum uric acid, blood sugar, blood lipids and blood pressure in a timely manner to reduce the risk of NAFLD.
Collapse
Affiliation(s)
- Y Y Wang
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Q Zhao
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - B Chen
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - N Wang
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - T J Zhang
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Y G Jiang
- Songjiang District Center for Disease Control and Prevention, Shanghai 201620, China
| | - Y L Wu
- Songjiang District Center for Disease Control and Prevention, Shanghai 201620, China
| | - N He
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - G M Zhao
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - X Liu
- Department of Epidemiology/Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| |
Collapse
|
38
|
Hong BA, Zhao Q, Ji YP, Cao YD, Yang Y, Zhang N. [The preliminary efficacy of "quadri-combination" therapy on the treatment of bladder cancer]. Zhonghua Yi Xue Za Zhi 2023; 103:1855-1859. [PMID: 37357192 DOI: 10.3760/cma.j.cn112137-20230314-00395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
To investigate the safety and efficacy of "quadri-combination" therapy including maximal transurethral resection of bladder tumor (mTURBT), combined with systemic chemotherapy and immunotherapy, concurrent radiotherapy, and immune maintenance therapy. The clinical data of 8 patients with bladder cancer who could not tolerate or refused radical cystectomy at the Department of Urology, Peking University Cancer Hospital from November 2019 to October 2021 were retrospectively analyzed. There were 5 males and 3 females with a mean age of 69 years. The Eastern Cooperative Oncology Group(ECOG) score was 0 in 6 cases and 1 in 2 cases. There were 5 cases of high-grade urothelial carcinoma (1 case of T3b; 2 cases were T2; 2 cases of T1 stage, with multiple tumors and repeated recurrence), 1 case of high-grade urothelial carcinoma with carcinoma in situ (T1/Tis stage), 1 case of high-grade urothelial carcinoma with squamous differentiation (T3b stage), and 1 case of high-grade urothelial carcinoma with glandular differentiation (T2). All patients underwent "quadri-combination" therapy.The patient's tolerance, success rate of bladder preservation and prognosis were evaluated.The median follow-up time was 22.5 (12-35) months. One patient with high-grade muscle-invasive bladder cancer (T2) received mTURBT, albumin-bound paclitaxel and durvalumab combined therapy for 3 cycles, concurrent radiotherapy, and immune maintenance therapy for 18 months, and the tumor recurrence was found. The pathology was high-grade urothelial carcinoma. Salvage radical cystectomy combined with pelvic lymph node dissection is recommended. The remaining 7 patients were regularly reexamined, and no recurrence or metastasis was found.The 2-year progression-free survival rate was 80%, and the success rate of bladder preservation was 87.5%(7/8). Treatment-related adverse reactions were resolved by symptomatic treatment, and patients' compliance and tolerance were acceptable.The "quadri-combination" bladder-preserving therapy is feasible and well tolerated, but further studies are needed.
Collapse
Affiliation(s)
- B A Hong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Urology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Q Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Urology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Y P Ji
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Urology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Y D Cao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Urology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Y Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Urology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - N Zhang
- Department of Urology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| |
Collapse
|
39
|
Cheng HY, Ju JH, Zhao Q, Liu SZ, Zhang GL, Zhang T, Wang BY, Guo QW, Liu S. [Effects of free superficial peroneal artery perforator flap in repairing small and medium-sized thermal crush injury wounds in the hand]. Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi 2023; 39:546-551. [PMID: 37805770 DOI: 10.3760/cma.j.cn501225-20220623-00256] [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: 10/09/2023]
Abstract
Objective: To investigate the surgical methods and clinical effects of free superficial peroneal artery perforator flap in repairing small and medium-sized thermal crush injury wounds in the hand. Methods: A retrospective observational study was conducted. From August 2018 to December 2021, 12 patients (19 wounds) with small and medium-sized thermal crush injury in the hand who met the inclusion criteria were hospitalized in Suzhou Ruihua Orthopaedic Hospital, including 5 males and 7 females, aged from 30 to 54 years. The area of the wound was from 2.5 cm×2.0 cm to 14.0 cm×3.5 cm, and all the wounds were repaired by using free superficial peroneal artery perforator flaps from lower leg on one side (including single flap, multiple flaps, and multiple flaps with one pedicle resected from the same donor site). The area of the flap was from 3.5 cm×3.0 cm to 16.0 cm×4.0 cm. The wound in the donor site was sutured directly. The vascular crisis and survival of the flap were observed after operation. The texture, appearance, color, hyperpigmentation, sensation, and two-point discrimination of the flap repaired area were followed up, as well as the hyperplasia of scar and pain condition in the donor and recipient sites. At the last follow-up, the curative effect of flap repair was evaluated by the comprehensive evaluation scale, and the extension and flexion functions of the reserved digital joint were evaluated by the total active movement systematic evaluation method recommended by American Academy for Surgery of Hand. Results: One flap developed arterial crisis on the first day after operation but survived after timely exploration. The other 18 flaps survived successfully after operation. Follow-up of 4 to 24 months after operation showed good texture and appearance in the flap repaired area; the color of the flap repaired area was similar to that of the normal skin around the recipient site, without pigmentation; the protective sensation was restored in all cases, but there was no two-point discrimination; there was no obvious hypertrophic scarring or pain in the donor or recipient site. At the last follow-up, the curative effect of flap repair was evaluated with 3 flaps being excellent and 16 flaps being good; the extension and flexion functions of the reserved digital joint were also assessed, being excellent in 8 fingers, good in 9 fingers, and fair in 2 fingers. Conclusions: The blood supply of superficial peroneal artery perforator flap is sufficient and reliable, and multiple flaps of this type or multiple flaps with one pedicle can be resected from one donor site. The use of this flap to repair small and medium-sized thermal crush injury wounds in the hand results in minimal damage to the donor area, and good postoperative appearance and texture of the flap.
Collapse
Affiliation(s)
- H Y Cheng
- Department of Hand Surgery, Suzhou Ruihua Orthopaedic Hospital, Suzhou 215104, China
| | - J H Ju
- Department of Hand Surgery, Suzhou Ruihua Orthopaedic Hospital, Suzhou 215104, China
| | - Q Zhao
- Department of Hand Surgery, Suzhou Ruihua Orthopaedic Hospital, Suzhou 215104, China
| | - S Z Liu
- Department of Hand Surgery, Suzhou Ruihua Orthopaedic Hospital, Suzhou 215104, China
| | - G L Zhang
- Department of Hand Surgery, Suzhou Ruihua Orthopaedic Hospital, Suzhou 215104, China
| | - T Zhang
- Department of Hand Surgery, Suzhou Ruihua Orthopaedic Hospital, Suzhou 215104, China
| | - B Y Wang
- Department of Hand Surgery, Suzhou Ruihua Orthopaedic Hospital, Suzhou 215104, China
| | - Q W Guo
- Department of Hand Surgery, Suzhou Ruihua Orthopaedic Hospital, Suzhou 215104, China
| | - S Liu
- Department of Hand Surgery, Suzhou Ruihua Orthopaedic Hospital, Suzhou 215104, China
| |
Collapse
|
40
|
Dong J, Tu W, Wang H, Zuo Y, Liu T, Zhao Q, Ying J, Wu J, Liu Y, Cai X, Song B. Genome sequence analysis provides insights into the mode of 2n egg formation in Solanum malmeanum. Theor Appl Genet 2023; 136:157. [PMID: 37340281 DOI: 10.1007/s00122-023-04406-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/13/2023] [Indexed: 06/22/2023]
Abstract
KEY MESSAGE Our genomic investigation confirms the mechanism of 2n eggs formation in S. malmeanum and aid in optimizing the use of wild germplasm. Wild potatoes are a valuable source of agronomic traits. However, substantial reproductive barriers limit gene flow into cultivated species. 2n gametes are instrumental in preventing endosperm abortion caused by genetic imbalances in the endosperm. However, little is known about the molecular mechanisms underlying the formation of 2n gametes. Here, the wild species Solanum malmeanum Bitter (2x, 1EBN, endosperm balance number) was used in inter- and intrapoloid crosses with other Solanum species, with viable seeds being produced only when S. malmeanum was used as the female parent to cross the 2EBN Solanum genus and with the likely involvement of 2n gametes. Subsequently, we substantiated the formation of 2n eggs in S. malmeanum using fluorescence in situ hybridization (FISH) and genomic sequencing technology. Additionally, the transmission rate of maternal heterozygous polymorphism sites was assessed from a genomic perspective to analyze the mode of 2n egg formation in S. malmeanum × S. tuberosum and S. malmeanum × S. chacoense crosses; each cross acquired an average of 31.12% and 22.79% maternal sites, respectively. This confirmed that 2n egg formation in S. malmeanum attributed to second-division restitution (SDR) coupled with the occurrence of exchange events. The high-throughput sequencing technology used in this study has strong advantages over traditional cytological analyses. Furthermore, S. malmeanum, which has a variety of excellent traits not available from present cultivated potato genepool, has received little research attention and has successfully achieved gene flow in cultivated species in the current study. These findings will facilitate the understanding and optimization of wild germplasm utilization in potatoes.
Collapse
Affiliation(s)
- Jianke Dong
- National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Key Laboratory of Potato Biology and Biotechnology, Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, China
| | - Wei Tu
- National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Key Laboratory of Potato Biology and Biotechnology, Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, China
- College of Biology and Agricultural Resources, Huanggang Normal University, Huanggang, 438000, China
| | - Haibo Wang
- National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Key Laboratory of Potato Biology and Biotechnology, Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, China
- College of Biological and Food Engineering, Hubei Minzu University, Enshi, 445000, China
| | - Yingtao Zuo
- National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Key Laboratory of Potato Biology and Biotechnology, Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, China
| | - Tengfei Liu
- National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Key Laboratory of Potato Biology and Biotechnology, Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, China
| | - Qinghao Zhao
- National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Key Laboratory of Potato Biology and Biotechnology, Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jingwen Ying
- National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Key Laboratory of Potato Biology and Biotechnology, Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jianghai Wu
- National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Key Laboratory of Potato Biology and Biotechnology, Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yuanyuan Liu
- National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Key Laboratory of Potato Biology and Biotechnology, Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xingkui Cai
- National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Key Laboratory of Potato Biology and Biotechnology, Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, China
| | - Botao Song
- National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Key Laboratory of Potato Biology and Biotechnology, Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, 430070, China.
| |
Collapse
|
41
|
Wang ZY, Yang WL, Song YZ, Li DJ, Chen W, Zhao Q, Li YF, Cui R, Shen L, Liu Q, Wei CC, Zhai CB. [Comparison of corneal power assessment methods after small incision lenticule extraction]. Zhonghua Yan Ke Za Zhi 2023; 59:460-466. [PMID: 37264576 DOI: 10.3760/cma.j.cn112142-20220707-00330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Objective: To compare the accuracy of different corneal curvature parameters in assessing the corneal refractive status and tracking corneal power changes after small incision lenticule extraction (SMILE). Methods: This prospective cross-sectional study tracked and recorded total corneal curvature parameters measured by different instruments before and three months after SMILE for myopia. These parameters, including total keratometry (TK) from the IOLMaster 700, total corneal refractive power (TCRP) from the Pentacam AXL, real keratometry (RK) from the CASIA 2, and corrected parameters calculated using the Haigis, Shammas, and Maloney methods, were compared with data obtained using the clinical history method (CHM). Surgically induced changes in TK, TCRP, and RK were analyzed and compared with those in spherical equivalent on the corneal plane (ΔSEco). Results: The study included 40 eyes (40 participants). After SMILE, the difference was smallest between TK [(0.08±0.38) D] and CHM values (P>0.05). However, TCRP, RK, KHaigis, KShammas, and KMaloney were significantly different from CHM data (P<0.05). The width of the 95% limits of agreement of TK (1.49 D) was narrowest, followed by that of RK (1.57 D). Pearson analysis showed that each parameter had a good correlation with CHM data. The differences between the changes in TK, TCRP and RK caused by surgery and ΔSEco were (0.03±0.39) D, (0.17±0.43) D, and (-0.19±0.46) D, respectively. The width of the 95% limits of agreement of ΔTK (1.54 D) was narrowest, and the correlation coefficient of ΔTK (0.951) was highest. Conclusion: The parameter TK of the IOLMaster 700 can provide accurate and objective corneal power evaluation after SMILE.
Collapse
Affiliation(s)
- Z Y Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - W L Yang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - Y Z Song
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - D J Li
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - W Chen
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - Q Zhao
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - Y F Li
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - R Cui
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - L Shen
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - Q Liu
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - C C Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - C B Zhai
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| |
Collapse
|
42
|
Liang YR, Yang YC, Yang BL, Zeng QX, Liu BY, Zhao Q, Luo Q, Zhao ZH, Yang T, Liu ZH, Xiong CM. [Evaluation effect of COMPERA 2.0 risk assessment model on prognosis of Chinese patients with pulmonary arterial hypertension]. Zhonghua Yi Xue Za Zhi 2023; 103:1410-1416. [PMID: 37150694 DOI: 10.3760/cma.j.cn112137-20221212-02625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Objectives: To clarify the evaluation effect of COMPERA 2.0 risk assessment model on prognosis of pulmonary arterial hypertension (PAH) in China. Methods: Patients with newly diagnosed PAH admitted in Fuwai hospital between April 2019 and March 2022 were enrolled retrospectively and divided in low, intermediate-low, intermediate-high and high strata by scores of COMPERA 2.0 risk assessment model. All the patients were followed up by clinic or telephone. The primary endpoint was defined as a composite of all-cause mortality, exacerbated heart failure and aggravated symptoms. Kaplan-Meier analysis and log-rank trend test were used to determine the risk of endpoints among the 4 groups. Multivariate Cox proportional hazards regression were used to analyze the association between COMPERA 2.0 scores and prognosis in patients with PAH. Results: A total of 951 patients with PAH were enrolled in this study. The age [M (Q1, Q3)] of the patients was 35 (28, 47) years, of which 706 cases (74.2%) were females. A total of 328 cases (34.5%) were assigned in low strata, 264 cases (27.8%) in intermediate-low strata, 193 cases (20.3%) in intermediate-high strata, and 166 cases (17.5%) in high strata. During the duration [M (Q1, Q3)] of follow-up after discharge of 1.8 (1.0, 2.8) years, the primary endpoint was occurred in 12.8% (42/328), 21.2% (56/264), 28.5% (55/193) and 42.8% (71/166) of low, intermediate-low, intermediate-high and high strata, respectively. The rates of primary endpoint were significantly increased with strata rising (P<0.001). Multivariate Cox proportional hazards regression showed that COMPERA 2.0 risk scores were associated with the primary endpoints in PAH patients (HR=1.801, 95%CI: 1.254-2.588, P=0.001) after adjusting confounders. Conclusion: COMPERA 2.0 risk assessment model is a simple and effective tool for evaluating the prognosis of newly diagnosed PAH patients in China.
Collapse
Affiliation(s)
- Y R Liang
- Center of Pulmonary Vascular Disease, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100037, China
| | - Y C Yang
- Center of Pulmonary Vascular Disease, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100037, China
| | - B L Yang
- Center of Pulmonary Vascular Disease, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100037, China
| | - Q X Zeng
- Center of Pulmonary Vascular Disease, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100037, China
| | - B Y Liu
- Center of Pulmonary Vascular Disease, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100037, China
| | - Q Zhao
- Center of Pulmonary Vascular Disease, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100037, China
| | - Q Luo
- Center of Pulmonary Vascular Disease, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100037, China
| | - Z H Zhao
- Center of Pulmonary Vascular Disease, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100037, China
| | - T Yang
- Center of Pulmonary Vascular Disease, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100037, China
| | - Z H Liu
- Center of Pulmonary Vascular Disease, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100037, China
| | - C M Xiong
- Center of Pulmonary Vascular Disease, National Center for Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100037, China
| |
Collapse
|
43
|
Zhao Q, Pan S, Zhang L, Zhang Y, Shahsavari A, Lotey P, Baetge C, Deveau M, Gregory C, Kapler G, Liu F. A Salivary Gland Resident Macrophage Subset Regulating Radiation Responses. J Dent Res 2023; 102:536-545. [PMID: 36883649 PMCID: PMC10150438 DOI: 10.1177/00220345221150005] [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: 03/09/2023] Open
Abstract
Radiotherapy of head and neck cancers frequently leads to irreversible hypofunction of salivary glands, which severely compromises the quality of life and is extremely difficult to treat. We found recently that salivary gland resident macrophages are sensitive to radiation and interact with epithelial progenitors and endothelial cells through homeostatic paracrine factors. Heterogeneous subpopulations of resident macrophages are present in other organs with distinct functions, whereas subpopulations of salivary gland resident macrophages with distinct functions or transcriptional profiles have not been reported yet. Using single-cell RNA sequencing, we found that mouse submandibular glands (SMGs) contain 2 distinct self-renewing resident macrophage subsets, an MHC-IIhi subset present in many other organs and an uncommon Csf2r+ subset. The main source of Csf2 in SMGs are innate lymphoid cells (ILCs) that rely on IL15 for maintenance, while the main source of IL15 protein is Csf2r+ resident macrophages, indicating a homeostatic paracrine interaction between these cells. Csf2r+ resident macrophages are the major source of hepatocyte growth factor (Hgf) that regulates homeostasis of SMG epithelial progenitors. Meanwhile, Csf2r+ resident macrophages are responsive to Hedgehog signaling that can rescue salivary function impaired by radiation. Consistently, irradiation persistently decreased numbers of ILCs and levels of IL15 and Csf2 in SMGs, which were all recovered by transient activation of Hedgehog signaling after radiation. Csf2r+ resident macrophages and MHC-IIhi resident macrophages share transcriptome profiles of perivascular macrophages and macrophages associated with nerves and/or epithelial cells in other organs, respectively, and such niche preferences were supported by lineage tracing and immunofluorescent staining. These findings reveal an uncommon resident macrophage subset that regulates the homeostasis of the salivary gland and is promising as the target to restore salivary gland function impaired by radiation.
Collapse
Affiliation(s)
- Q. Zhao
- Cell Biology and Genetics Department, College
of Medicine, Texas A&M University Health Science Center, College Station, TX, USA
| | - S. Pan
- Cell Biology and Genetics Department, College
of Medicine, Texas A&M University Health Science Center, College Station, TX, USA
| | - L. Zhang
- Cell Biology and Genetics Department, College
of Medicine, Texas A&M University Health Science Center, College Station, TX, USA
| | - Y. Zhang
- Cell Biology and Genetics Department, College
of Medicine, Texas A&M University Health Science Center, College Station, TX, USA
| | - A. Shahsavari
- Cell Biology and Genetics Department, College
of Medicine, Texas A&M University Health Science Center, College Station, TX, USA
| | - P. Lotey
- Cell Biology and Genetics Department, College
of Medicine, Texas A&M University Health Science Center, College Station, TX, USA
| | - C.L. Baetge
- Department of Small Animal Clinical Sciences,
College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College
Station, TX, USA
| | - M.A. Deveau
- Department of Small Animal Clinical Sciences,
College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College
Station, TX, USA
| | - C.A. Gregory
- Cell Biology and Genetics Department, College
of Medicine, Texas A&M University Health Science Center, College Station, TX, USA
| | - G.M. Kapler
- Cell Biology and Genetics Department, College
of Medicine, Texas A&M University Health Science Center, College Station, TX, USA
| | - F. Liu
- Cell Biology and Genetics Department, College
of Medicine, Texas A&M University Health Science Center, College Station, TX, USA
| |
Collapse
|
44
|
Chen J, Liu Z, Xu Y, Liu Z, Zheng Z, Zhang Z, Fan C, Li Q, Zhao Q. Anatomic zone division and clinical significance of the lumbar sinuvertebral nerves. Spine J 2023:S1529-9430(23)00153-5. [PMID: 37031892 DOI: 10.1016/j.spinee.2023.03.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 03/19/2023] [Accepted: 03/31/2023] [Indexed: 04/11/2023]
Abstract
BACKGROUND CONTEXT Discogenic low-back pain (DLBP) is one of the primary causes of low back pain (LBP) and is associated with internal disk disruptions and is mainly transmitted by the sinuvertebral nerve (SVN). The lack of a universal understanding of the anatomical characteristics of the SVN has compromised surgical treatment for DLPB. PURPOSE This study aims to elaborate on the anatomical characteristics of the SVN and to discuss their possible clinical significance. STUDY DESIGN The SVNs were dissected and immunostained in ten human lumbar specimens. METHODS The SVNs at the segments from L1-L2 to L5-S1 in ten human cadavers were studied, and the number, origin, course, diameter, anastomotic branches, and branching points of the SVNs were documented. Three longitudinal and five transverse zones were defined in the dorsal coronal plane of the vertebral body and disc. The vertebrae were divided longitudinally as follows: the region between the medial edges of the bilateral pedicles is divided into three equal parts, the middle third is zone I and the lateral third on both sides are zones II; the areas lateral to the medial margin of the pedicle were zones Ⅲ.The transverse zones were designated as follows: a)superior margin of the vertebral body to superior margin of the pedicle; b) between superior and inferior margins of the pedicle; c) inferior margin of the pedicle to inferior margin of the vertebral body; d) superior margin of the disc to the midline of the disc; and e) midline of the disc to the inferior margin of the disc. The distribution characteristics of SVNs in various zones were recorded, and tissue sections were immunostained with anti-NF 200 and anti-PGP 9.5. RESULTS The SVNs are divided into main trunks and deputy branches, with 109 main trunks and 451 deputy branches identified in the 100 lumbar intervertebral foramens (IVFs). The main trunks of the SVN originate from the spinal nerve and/or the communicating branch, but the deputy branch originating from both roots was not observed. All the main trunks and deputy branches of the SVNs originate from the posterolateral disc (Ⅲ d and Ⅲ e). The deputy branches of the SVN primarily innervate the posterolateral aspect of the intervertebral disc (Ⅲ d 46.78%, Ⅲ e 36.36%) and the subpedicular vertebral body (Ⅲ c 16.85%). The main trunk of the SVNs passes primarily through the subpedicular vertebral body (Ⅲ c 96.33%) and divides into ascending, transverse, and descending branches in the IVF: Ⅲ c (23/101, 22.77%) or spinal canal: Ⅱ c (73/101, 72.28%), Ⅱ d (3/101, 2.97%), Ⅱ b (2/101, 1.98%). The main trunk possesses extensive innervation, and except for the most medial discs (Ⅰ d and Ⅰ e), it almost dominates all other zones of the spinal canal. At the segments from L1-L2 to L5-S1, 39 ipsilateral anastomoses connecting the ascending branch to the main trunk or spinal nerve at the upper level were observed, with one contralateral anastomosis observed at L5. CONCLUSION The zone distribution characteristics of SVNs are similar across all levels. Comparatively, the proportion of double-root origin and the number of insertion points of the SVNs increased at the lower level. The three types of anastomosis offer connections between SVNs at the same level and at different levels. The posteromedial disc is innervated by corresponding and subjacent main trunks, with the posterolateral disc mainly innervated by the deputy branch. CLINICAL SIGNIFICANCE Detailed information and zone distribution characteristics of the lumbar SVNs can help improve clinicians' understanding of DLBP and improve the effectiveness of treatments targeting the SVNs.
Collapse
Affiliation(s)
- Junjie Chen
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, China
| | - Zexian Liu
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, China
| | - Yejie Xu
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, China
| | - Zezheng Liu
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, China
| | - Zhiyang Zheng
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, China
| | - Zhenfeng Zhang
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, China
| | - Chaohui Fan
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, China
| | - Qingchu Li
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, China..
| | - Qinghao Zhao
- Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, China..
| |
Collapse
|
45
|
Gong TY, Guo L, Ye K, Zhao Q, Ye LY, Ma YN, Wang LF, Yang JY. [Phenotypic and genotypic characteristics of Escherichia coli causing bloodstream and abdominal co-infection]. Zhonghua Yi Xue Za Zhi 2023; 103:986-990. [PMID: 36990714 DOI: 10.3760/cma.j.cn112137-20220720-01579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
Objective: To analyze the phenotypic and genotypic characteristics of Escherichia coli causing bloodstream and abdominal co-infection (CoECO), and provide clues for empirical antibiotics treatment. Methods: The strains of Escherichia coli isolated from blood and abdominal samples in the Department of Laboratory Medicine of the First Medical Center of the PLA General Hospital from 2010 to 2020 were retrospectively analyzed. Mass spectrometer was used to identify all of the strains and the minimum inhibitory concentration (MIC) were detected by VITEK 2 Compact. All isolates were sequenced by 2×150 bp double terminal sequencing strategy on the HiSeq X Ten sequencer (Illumina). After the genome sequence was spliced, the single nucleotide polymorphism (SNP) analysis of the strain sequence was performed using kSNP3 software to clarify the homologous relationship between strains. If the strains isolated from two different parts had high homology, they were regarded as the same strain and the case was with CoECO infection. Meanwhile, the multilocus sequence type (MLST) was determined using PubMLST website and resistant genes were screened by CARD website. Results: A total of 70 cases of CoECO infection were screened, including 45 males and 25 females, and aged (59.2±16.3) years old. The 70 CoECO isolates belonged to 35 sequence types (STs). The most prevalent STs included ST38 (n=6), ST 405 (n=6), ST 1193 (n=6) and ST131 (n=5), and other ST types contained less than 5 strains. The homologous relationship among strains was relatively scattered, presenting a sporadic trend as a whole, and only a few strains had a small-scale outbreak. The CoECO isolates showed significantly resistance to ampicillin (91.4%, 64/70), ampicillin/sulbactam (74.3%, 5 2/70), ceftriaxone (72.9%, 51/70), ciprofloxacin (71.4%, 50/70) and levofloxacin (71.4%, 50/70), and high-sensitivity to piperacillin/tazobactam, carbapenems and amikacin. The most prevalent resistant gene was tet (A/B) (70%, 49/70), followed by blaTEM (58.6%, 41/70), sul1 (55.7%, 40/70), sul2 (54.3%, 38/70), blaCTX-M-14(25.7%, 18/70), blaCTX-M-15(17.1%, 13/70), blaCTX-M-55(15.7%, 11/70), blaCTX-M-64/65(5.7%, 4/70), blaCTX-M-27(4.3%, 3/70), mcr-1 (4.3%, 3/70), blaNDM-5(2.9%, 2/70). Conclusions: CoECO is distributed dispersedly and has no obvious advantage clone. No genotype with obvious advantages was found. Although the strain has a high resistance rate to some antibacterial drugs, the proportion of carrying resistant genes is low, and it has a high sensitivity to some first-line antibacterial drugs.
Collapse
Affiliation(s)
- T Y Gong
- Department of Laboratory Medicine, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China Graduate School, Medical School of Chinese PLA, Beijing 100039, China
| | - L Guo
- Department of Laboratory Medicine, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - K Ye
- Department of Laboratory Medicine, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Q Zhao
- Department of Laboratory Medicine, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - L Y Ye
- Department of Laboratory Medicine, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Y N Ma
- Department of Laboratory Medicine, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - L F Wang
- Department of Laboratory Medicine, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - J Y Yang
- Department of Laboratory Medicine, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| |
Collapse
|
46
|
Niu W, Rong X, Zhao Q, Liu X, Xu L, Li S, Li X. [Wine-processed Chuanxiong Rhizoma enhances efficacy of aumolertinib against EGFRmutant non-small cell lung cancer xenografts in nude mouse brain]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:375-382. [PMID: 37087581 PMCID: PMC10122737 DOI: 10.12122/j.issn.1673-4254.2023.03.06] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 04/24/2023]
Abstract
OBJECTIVE To investigate the effect of wine-processed Chuanxiong Rhizoma (WCR) for enhancing the efficacy of aumolertinib against xenografts of epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) in the brain of nude mice. METHODS In a co-culture system of hCMEC/D3 and PC9 NSCLC cells, the effect of aqueous extract of WCR (2 mg/mL) combined with aumolertinib (10 and 20 μmol/L) on apoptosis of PC9 cells was investigated using flow cytometry. The effects of WCR extract (0.5, 1, and 2 mg/mL) on transmembrane transport of 8 μmol/L aumolertinib was examined in ABCB1-MDCK monolayer cells. Western blotting was used to detect the expressions of the tight junction proteins related with blood- brain barrier integrity. A nude mouse model bearing NSCLC xenograft in the brain was established to observe the inhibitory effect of WCR (1 mg/g) combined with aumolertinib (10 mg/kg) on tumor growth. RESULTS Compared with aumolertinib (20 μmol/L) alone, WCR extract (2 mg/mL) combined with aumolertinib significantly increased the apoptosis rate of PC9 cells by 21% (P < 0.01). The combined treatment with WCR (0.5, 1, 2 mg/mL) obviously increased apical-basolateral transport of aumolertinib in ABCB1-MDCK monolayer cells (P < 0.05) and significantly lowered the expression levels of zonula occludens-1, claudin-5 and P-glycoprotein (P < 0.05). In the tumor-bearing mice, compared with aumolertinib alone, the combined treatment with WCR and aumolertinib produced stronger inhibitory effect on tumor growth, improved weight loss, and prolonged the survival time of the nude mice (P < 0.05). Pathological examination showed that the combined treatment obviously increased the apoptosis rate of the tumor cells and alleviated neural injuries in the brain. Immunohistochemistry revealed that WCR treatment significantly reduced the expressions of ZO-1 and claudin-5 in the brain of the mice. CONCLUSION WCR combined with aumolertinib shows stronger inhibitory effects against tumor xenografts of EGFR-mutant NSCLC possibly due to the effect of WCR in facilitating the transmembrane transport of aumolertinib by downregulating ZO-1, claudin-5 and P-glycoprotein expression.
Collapse
Affiliation(s)
- W Niu
- School of Pharmacy, Bengbu Medical College, Bengbu 233030, China
| | - X Rong
- School of Pharmacy, Bengbu Medical College, Bengbu 233030, China
| | - Q Zhao
- School of Pharmacy, Bengbu Medical College, Bengbu 233030, China
| | - X Liu
- School of Pharmacy, Bengbu Medical College, Bengbu 233030, China
| | - L Xu
- School of Pharmacy, Bengbu Medical College, Bengbu 233030, China
| | - S Li
- School of Pharmacy, Bengbu Medical College, Bengbu 233030, China
| | - X Li
- School of Pharmacy, Bengbu Medical College, Bengbu 233030, China
- Anhui Provincial Key Laboratory of New Technology of Chinese Herbal Pieces Manufacturing, Bozhou 236800, China
- Postdoctoral Workstation of Anhui Xiehecheng Pharmaceutical Yinpian Co Ltd, Bozhou 236800, China
| |
Collapse
|
47
|
Li YF, Yang WL, Wei WB, Yang LL, Xu XL, Zhang X, Wang Q, Wang S, Li DJ, Wang ZY, Chen W, Zhao Q, Cui R, Shen L, Liu Q. [Ultrasonographic features of retinal pigment epithelial adenoma]. Zhonghua Yan Ke Za Zhi 2023; 59:181-186. [PMID: 36860104 DOI: 10.3760/cma.j.cn112142-20220803-00382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
Objective: To investigate the ultrasonographic features of retinal pigment epithelium (RPE) adenoma. Methods: It was a retrospective case series study. The clinical clata of 15 patients (15 eyes) with pathologically confirmed RPE adenoma after local resection of intraocular tumor was collected at Beijing Tongren Hospital, Capital Medical University from November 2013 to October 2019. The general conditions of the patients and the location, size, shape, internal echo features of the lesions in the ocular ultrasound sonogram were analyzed, and the blood flow in the lesions was checked by color Doppler flow imaging (CDFI). Results: Of all the patients included in the study, 7 were male and 8 were female. Their age ranged from 25 to 58 years, with a mean age of (45.7±10.2) years. The most common symptom was vision loss or blurred vision (11 cases). Other symptoms included dark shadows or obscuration in front of the eyes (3 cases) and no symptoms (1 case). A history of previous ocular trauma was present in one case, and the rest of the patients had no history of ocular trauma.The location of tumor growth is scattered. The ultrasonographic features were as follows: the average maximum basal diameter was (8.07±2.75) mm and the average height was (4.02±1.81) mm; the ultrasonographic features mostly demonstrated abruptly elevated dome-shaped echo (6 cases); the lesion edge was not smooth, the internal echo was medium or low, and there could be hollow features (2 cases), with no choroidal depression; and the blood flow signal could be seen in the CDFI lesion, which could lead to retinal detachment and vitreous opacification. Conclusion: The ultrasound imaging features of RPE adenomas mostly demonstrate abruptly elevated dome-shaped echo, unsmooth lesion edge, with no choroidal depression, which may provide valuable evidence for clinical diagnosis and differentiation.
Collapse
Affiliation(s)
- Y F Li
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - W L Yang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - W B Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - L L Yang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - X L Xu
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - X Zhang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - Q Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - S Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - D J Li
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - Z Y Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - W Chen
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - Q Zhao
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - R Cui
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - L Shen
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - Q Liu
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| |
Collapse
|
48
|
Zhao Q, Du G, Wang S, Zhao P, Cao X, Cheng C, Liu H, Xue Y, Wang X. Investigating the role of tartaric acid in wine astringency. Food Chem 2023; 403:134385. [DOI: 10.1016/j.foodchem.2022.134385] [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] [Received: 04/16/2022] [Revised: 09/18/2022] [Accepted: 09/20/2022] [Indexed: 10/14/2022]
|
49
|
Zhao Q, Sun X, Liu K, Peng Y, Jin D, Shen W, Wang R. Correlation between capsule endoscopy classification and CT lymphangiography of primary intestinal lymphangiectasia. Clin Radiol 2023; 78:219-226. [PMID: 36509551 DOI: 10.1016/j.crad.2022.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 09/21/2022] [Accepted: 10/05/2022] [Indexed: 12/13/2022]
Abstract
AIM To investigate the correlation between capsule endoscopy (CE) classification of primary intestinal lymphangiectasia (PIL) and computed tomography (CT) lymphangiography (CTL). MATERIALS AND METHODS A total of 52 patients with diagnosed PIL were enrolled. All patients were examined using CTL and small intestinal CE before surgery. CE assessments included the morphology, scope, colour, and size of lesions. CTL assessments included intestinal wall, lymphatic vessel dilatation, lymph fluid reflux, and lymphatic fistula. Patients were divided into three groups according to type diagnosed by CE, and the CTL characteristics were analysed among the groups. RESULTS CE showed 15 patients with type I, 27 with II, and 10 with type III. Intestinal wall thickening was observed in 15 type I, 21 type II, and seven type III. Pericardial effusion was observed in only three type I patients; the difference among types was statistically significant (p=0.02). Abnormal contrast agent distribution in the intestinal wall and mesentery was observed in 15 type II patients, and the difference was significantly greater than that of types I and III (p=0.02). Abnormal contrast agent distribution in the abdominal cavity was observed in 12 type II, and the difference was statistically significant (p=0.03). CONCLUSION The CE PIL classification reflects the extent and scope of intestinal mucosa lesions; CTL more systematically demonstrates abnormal lymphatic vessels or reflux, and its manifestations of PIL are related to the CE classification. The combination of CTL with CE is useful for accurately evaluating PIL, and provides guidance for preoperative assessment and treatment management of PIL patients.
Collapse
Affiliation(s)
- Q Zhao
- Department of Radiology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - X Sun
- Department of Radiology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - K Liu
- Department of Gastroenterology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Y Peng
- Beijing Jiaotong University, China
| | - D Jin
- Peking University Third Hospital, China
| | - W Shen
- Department of Lymph Surgery, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - R Wang
- Department of Radiology, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
| |
Collapse
|
50
|
Huang Y, Jin F, Huang Y, Zhao Q, Wu Q, MA K. WCN23-0335 Validation of deep learning integration technology for assisting clinical diagnosis of renal pathologists. Kidney Int Rep 2023. [DOI: 10.1016/j.ekir.2023.02.256] [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: 03/22/2023] Open
|