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Deng C, Xie Y, Liu F, Tang X, Fan L, Yang X, Chen Y, Zhou Z, Li X. Simplified integration of optimal self-management behaviors is associated with improved HbA1c in patients with type 1 diabetes. J Endocrinol Invest 2024:10.1007/s40618-024-02357-8. [PMID: 38602658 DOI: 10.1007/s40618-024-02357-8] [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: 11/15/2023] [Accepted: 03/04/2024] [Indexed: 04/12/2024]
Abstract
PURPOSE Living with type 1 diabetes requires burdensome and complex daily diabetes self-management behaviors. This study aimed to determine the association between integrated behavior performance and HbA1c, while identifying the behavior with the most significant impact on HbA1c. METHODS A simple and feasible questionnaire was used to collect diabetes self-management behavior in patients with type 1 diabetes (n = 904). We assessed six dimensions of behavior performance: continuous glucose monitor (CGM) usage, frequent glucose testing, insulin pump usage, carbohydrate counting application, adjustment of insulin doses, and usage of apps for diabetes management. We evaluated the association between these behaviors and HbA1c. RESULTS In total, 21.3% of patients performed none of the allotted behavior, while 28.5% of patients had a total behavior score of 3 or more. 63.6% of patients with a behavior score ≥ 3 achieved HbA1c goal, contrasting with only 30.4% of patients with a behavior score of 0-1. There was a mean 0.54% ± 0.05% decrease in HbA1c for each 1-unit increase in total behavior score after adjustment for age, family education and diabetes duration. Each behavior was independently correlated with a lower HbA1c level, with CGM having the most significant effect on HbA1c levels. CONCLUSIONS Six optimal self-management behaviors, especially CGM usage, were associated with improved glycemic control, emphasizing the feasibility of implementing a simplified version of DSMES in the routine clinical care. REGISTRATION NUMBER ClinicalTrials.gov Identifier: NCT03610984.
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Affiliation(s)
- C Deng
- Department of Metabolism and Endocrinology, Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Y Xie
- Department of Metabolism and Endocrinology, Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha, China
| | - F Liu
- Department of Metabolism and Endocrinology, Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha, China
| | - X Tang
- Department of Metabolism and Endocrinology, Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha, China
| | - L Fan
- Department of Metabolism and Endocrinology, Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha, China
| | - X Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Y Chen
- Department of Metabolism and Endocrinology, Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Z Zhou
- Department of Metabolism and Endocrinology, Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha, China.
| | - X Li
- Department of Metabolism and Endocrinology, Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha, China.
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Chen X, Wang H, Wu C, Li X, Huang X, Ren Y, Pu Q, Cao Z, Tang X, Ding BS. Endothelial H 2S-AMPK dysfunction upregulates the angiocrine factor PAI-1 and contributes to lung fibrosis. Redox Biol 2024; 70:103038. [PMID: 38266576 PMCID: PMC10811458 DOI: 10.1016/j.redox.2024.103038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 12/28/2023] [Accepted: 01/10/2024] [Indexed: 01/26/2024] Open
Abstract
Dysfunction of the vascular angiocrine system is critically involved in regenerative defects and fibrosis of injured organs. Previous studies have identified various angiocrine factors and found that risk factors such as aging and metabolic disorders can disturb the vascular angiocrine system in fibrotic organs. One existing key gap is what sense the fibrotic risk to modulate the vascular angiocrine system in organ fibrosis. Here, using human and mouse data, we discovered that the metabolic pathway hydrogen sulfide (H2S)-AMP-activated protein kinase (AMPK) is a sensor of fibrotic stress and serves as a key mechanism upregulating the angiocrine factor plasminogen activator inhibitor-1 (PAI-1) in endothelial cells to participate in lung fibrosis. Activation of the metabolic sensor AMPK was inhibited in endothelial cells of fibrotic lungs, and AMPK inactivation was correlated with enriched fibrotic signature and reduced lung functions in humans. The inactivation of endothelial AMPK accelerated lung fibrosis in mice, while the activation of endothelial AMPK with metformin alleviated lung fibrosis. In fibrotic lungs, endothelial AMPK inactivation led to YAP activation and overexpression of the angiocrine factor PAI-1, which was positively correlated with the fibrotic signature in human fibrotic lungs and inhibition of PAI-1 with Tiplaxtinin mitigated lung fibrosis. Further study identified that the deficiency of the antioxidative gas metabolite H2S accounted for the inactivation of AMPK and activation of YAP-PAI-1 signaling in endothelial cells of fibrotic lungs. H2S deficiency was involved in human lung fibrosis and H2S supplement reversed mouse lung fibrosis in an endothelial AMPK-dependent manner. These findings provide new insight into the mechanism underlying the deregulation of the vascular angiocrine system in fibrotic organs.
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Affiliation(s)
- Xiangqi Chen
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, NHC Key Laboratory of Chronobiology, Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Han Wang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, NHC Key Laboratory of Chronobiology, Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Chuan Wu
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, NHC Key Laboratory of Chronobiology, Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiaoyan Li
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, NHC Key Laboratory of Chronobiology, Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiaojuan Huang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, NHC Key Laboratory of Chronobiology, Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Yafeng Ren
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, NHC Key Laboratory of Chronobiology, Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Qiang Pu
- Department of Thoracic Surgery, National Frontier Center of Disease Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zhongwei Cao
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, NHC Key Laboratory of Chronobiology, Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, NHC Key Laboratory of Chronobiology, Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Bi-Sen Ding
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, NHC Key Laboratory of Chronobiology, Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
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3
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Zhang L, Chen J, Yang X, Shen C, Huang J, Zhang D, Liu N, Liu C, Zhong Y, Chen Y, Tang K, Guo J, Cui T, Duan S, Li J, Huang S, Pan H, Zhang H, Tang X, Chang Y, Gao Y. Hepatic Zbtb18 (Zinc Finger and BTB Domain Containing 18) alleviates hepatic steatohepatitis via FXR (Farnesoid X Receptor). Signal Transduct Target Ther 2024; 9:20. [PMID: 38263084 PMCID: PMC10806020 DOI: 10.1038/s41392-023-01727-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 10/25/2023] [Accepted: 12/05/2023] [Indexed: 01/25/2024] Open
Abstract
A lasting imbalance between fatty acid synthesis and consumption leads to non-alcoholic fatty liver disease (NAFLD), coupled with hepatitis and insulin resistance. Yet the details of the underlying mechanisms are not fully understood. Here, we unraveled that the expression of the transcription factor Zbtb18 is markedly decreased in the livers of both patients and murine models of NAFLD. Hepatic Zbtb18 knockout promoted NAFLD features like impaired energy expenditure and fatty acid oxidation (FAO), and induced insulin resistance. Conversely, hepatic Zbtb18 overexpression alleviated hepato-steatosis, insulin resistance, and hyperglycemia in mice fed on a high-fat diet (HFD) or in diabetic mice. Notably, in vitro and in vivo mechanistic studies revealed that Zbtb18 transcriptional activation of Farnesoid X receptor (FXR) mediated FAO and Clathrin Heavy Chain (CLTC) protein hinders NLRP3 inflammasome activity. This key mechanism by which hepatocyte's Zbtb18 expression alleviates NAFLD and consequent liver fibrosis was further verified by FXR's deletion and forced expression in mice and cultured mouse primary hepatocytes (MPHs). Moreover, CLTC deletion significantly abrogated the hepatic Zbtb18 overexpression-driven inhibition of NLRP3 inflammasome activity in macrophages. Altogether, Zbtb18 transcriptionally activates the FXR-mediated FAO and CLTC expression, which inhibits NLRP3 inflammasome's activity alleviating inflammatory stress and insulin resistance, representing an attractive remedy for hepatic steatosis and fibrosis.
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Affiliation(s)
- Lei Zhang
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
- Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Cellular Homeostasis and Disease, Department of Physiology and Pathophysiology, Tianjin Medical University, Tianjin, China
| | - Jiabing Chen
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaoying Yang
- Jiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, Jiangsu International Laboratory of Immunity and Metabolism, Xuzhou Medical University, Xuzhou, China
| | - Chuangpeng Shen
- Department of Endocrinology, The First Clinical College, Guangzhou University of Chinese Medicine, Guangdong, China
| | - Jiawen Huang
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Dong Zhang
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Naihua Liu
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Chaonan Liu
- Department of Endocrinology, The First Clinical College, Guangzhou University of Chinese Medicine, Guangdong, China
| | - Yadi Zhong
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yingjian Chen
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Kaijia Tang
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jingyi Guo
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Tianqi Cui
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Siwei Duan
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jiayu Li
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shangyi Huang
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Huafeng Pan
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, Nanjing University of Chinese Medicine, Nanjing, China
| | - Huabing Zhang
- Department of Biochemistry and Molecular Biology, Metabolic Disease Research Center, School of Basic Medicine, Anhui Medical University, Hefei, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, China.
| | - Yongsheng Chang
- Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Cellular Homeostasis and Disease, Department of Physiology and Pathophysiology, Tianjin Medical University, Tianjin, China.
| | - Yong Gao
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, Nanjing University of Chinese Medicine, Nanjing, China.
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Ji X, Zhang J, Tang X, Chen HZ. What we talk about when we talk about spinal cord aging. Cell Metab 2024; 36:7-9. [PMID: 38171339 DOI: 10.1016/j.cmet.2023.12.002] [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: 11/15/2023] [Revised: 11/29/2023] [Accepted: 12/05/2023] [Indexed: 01/05/2024]
Abstract
Spinal cord-associated disorders are common in the elderly population; however, the mechanisms underlying spinal aging remain elusive. In a recent Nature paper, Sun et al. systemically analyzed aged spines in nonhuman primates and identified a new cluster of CHIT1-positive microglia that drives motor neuron senescence and subsequent spine aging.
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Affiliation(s)
- Xianhong Ji
- Department of Biochemistry & Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, China
| | - Jiajia Zhang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China; National Health Commission Key Laboratory of Chronobiology, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China; Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China; Zhejiang Provincial Key Laboratory of Laboratory Animals and Safety Research, Hangzhou Medical College, Hangzhou 310013, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China; National Health Commission Key Laboratory of Chronobiology, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China; Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China.
| | - Hou-Zao Chen
- Department of Biochemistry & Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, China; Medical Epigenetics Research Center, Chinese Academy of Medical Sciences, 5 Dong Dan San Tiao, Beijing 100005, China.
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5
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Tang X, Wen K, Yang Y. Impact of long-term vs. short-term and single day vs. single dose of antibiotic prophylaxis in reducing infection rates after orthognathic surgery: a systematic review and meta-analysis. Med Oral Patol Oral Cir Bucal 2023:26368. [PMID: 38150603 DOI: 10.4317/medoral.26368] [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: 09/25/2023] [Accepted: 12/11/2023] [Indexed: 12/29/2023] Open
Abstract
BACKGROUND This review was designed to examine the effect of long-term (≥2 days) vs. short-term (1 day) and single-day vs. single preoperative doses of antibiotic prophylaxis on surgical site infection (SSI) rates after orthognathic surgery. MATERIAL AND METHODS PubMed, Web of Science, Embase, and Scopus were searched for randomized controlled trials (RCTs) without any date or language restriction till 1st September 2023. SSI rates were pooled to generate risk ratio (RR). RESULTS Eight RCTs comparing long-term vs. short-term and three RCTs comparing single day vs. single preoperative dose of antibiotic prophylaxis were included. Meta-analysis showed that the use of long-term antibiotic prophylaxis significantly reduced the risk of SSI after orthognathic surgery as compared to short-term antibiotics [RR:0.42 (95% CI: 0.23, 0.76) I2=0%]. Meta-analysis also noted that patients receiving a single day of antibiotic prophylaxis had significantly reduced risk of SSI as compared to those receiving only a preoperative single dose of antibiotics [RR:0.28 (95%: 0.09, 0.82) I2=0%]. CONCLUSIONS Evidence from a limited number of RCTs with moderate to high risk of bias shows that two to seven days of long-term antibiotic prophylaxis reduces the risk of SSI as compared to single-day antibiotic therapy. Also, a single day of antibiotics may be more beneficial than a single pre-operative dose of antibiotic.
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Affiliation(s)
- X Tang
- Department of Orthodontics Shanxi Dental Hospital 196 Jinyang Street, Taiyuan City Shanxi Province 030000, China
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Zheng H, Ma W, Tang X, Lecube A, Yan LJ. Editorial: Diabetes and obesity effects on lung function, volume II. Front Endocrinol (Lausanne) 2023; 14:1345489. [PMID: 38144559 PMCID: PMC10740198 DOI: 10.3389/fendo.2023.1345489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 11/29/2023] [Indexed: 12/26/2023] Open
Affiliation(s)
- Hong Zheng
- Department of Basic Theory of Traditional Chinese Medicine, College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Weixing Ma
- Qingdao Municipal Center For Disease Control&Prevention, Qingdao, Shandong, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Albert Lecube
- Endocrinology and Nutrition Department, University Hospital Arnau de Vilanova de Lleida, Obesity, diabetes and nutrition Research Group (ODIM), Institut de Recerca Biomèdica de Lleida (IRBLleida), Universitat de Lleida, Lleida, Spain
| | - Liang-Jun Yan
- Department of Pharmaceutical Sciences, UNT System College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX, United States
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Liu Q, Dai F, Zhu H, Yang H, Huang Y, Jiang L, Tang X, Deng L, Song L. Deep learning for the early identification of periodontitis: a retrospective, multicentre study. Clin Radiol 2023; 78:e985-e992. [PMID: 37734974 DOI: 10.1016/j.crad.2023.08.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 08/15/2023] [Accepted: 08/21/2023] [Indexed: 09/23/2023]
Abstract
AIM To develop a deep-learning model to help general dental practitioners diagnose periodontitis accurately and at an early stage. MATERIALS AND METHODS First, the panoramic radiographs (PARs) from the Second Affiliated Hospital of Nanchang University were input into the convolutional neural network (CNN) architecture to establish the PAR-CNN model for healthy controls and periodontitis patients. Then, the PARs from the Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine were included in the second testing set to validate the effectiveness of the model with data from two centres. Heat maps were produced using a gradient-weighted class activation mapping method to visualise the regions of interest of the model. The accuracy and time required to read the PARs were compared between the model, periodontal experts, and general dental practitioners. Areas under the receiver operating characteristic curve (AUCs) were used to evaluate the performance of the model. RESULTS The AUC of the PAR-CNN model was 0.843, and the AUC of the second test set was 0.793. The heat map showed that the regions of interest predicted by the model were periodontitis bone lesions. The accuracy of the model, periodontal experts, and general dental practitioners was 0.800, 0.813, and 0.693, respectively. The time required to read each PAR by periodontal experts (6.042 ± 1.148 seconds) and general dental practitioners (13.105 ± 3.153 seconds), which was significantly longer than the time required by the model (0.027 ± 0.002 seconds). CONCLUSION The ability of the CNN model to diagnose periodontitis approached the level of periodontal experts. Deep-learning methods can assist general dental practitioners to diagnose periodontitis quickly and accurately.
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Affiliation(s)
- Q Liu
- Center of Stomatology, The Second Affiliated Hospital of Nanchang University, Nanchang, China; The Institute of Periodontal Disease, Nanchang University, Nanchang, China
| | - F Dai
- Center of Stomatology, The Second Affiliated Hospital of Nanchang University, Nanchang, China; The Institute of Periodontal Disease, Nanchang University, Nanchang, China
| | - H Zhu
- Center of Stomatology, The Second Affiliated Hospital of Nanchang University, Nanchang, China; The Institute of Periodontal Disease, Nanchang University, Nanchang, China
| | - H Yang
- The Second Clinical College, Medical College of Nanchang University, Nanchang, China
| | - Y Huang
- Center of Stomatology, The Second Affiliated Hospital of Nanchang University, Nanchang, China; The Institute of Periodontal Disease, Nanchang University, Nanchang, China
| | - L Jiang
- Department of Stomatology, The Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Jiangxi University of Traditional Chinese Medicine, Nanchang, China
| | - X Tang
- College of Basic Medical Science, Nanchang University, Nanchang, China
| | - L Deng
- The Institute of Periodontal Disease, Nanchang University, Nanchang, China; School of Public Health, Nanchang University, Nanchang, China; Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China.
| | - L Song
- Center of Stomatology, The Second Affiliated Hospital of Nanchang University, Nanchang, China; The Institute of Periodontal Disease, Nanchang University, Nanchang, China.
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Tang X. Regenerating the heart by metabolically reprogramming the cardiomyocyte epigenome. Cell Metab 2023; 35:1849-1851. [PMID: 37939655 DOI: 10.1016/j.cmet.2023.10.007] [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: 09/29/2023] [Revised: 10/10/2023] [Accepted: 10/11/2023] [Indexed: 11/10/2023]
Abstract
In mammal adolescence, cardiomyocytes rapidly exit the cell cycle, and heart regeneration in adults is limited after cardiac injury. Recent work by Li et al. in Nature revealed that inhibition of fatty acid oxidation can rewire cell metabolism and lead to epigenetic reprogramming of cardiomyocytes to an immature state that facilitates cardiomyocyte cell-cycle reentry and heart regeneration in adult animals.
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Affiliation(s)
- Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China; National Health Commission Key Laboratory of Chronobiology, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China; Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China.
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Ding YN, Tang X. Sensing mitochondrial DNA stress in cardiotoxicity. Trends Endocrinol Metab 2023; 34:688-690. [PMID: 37673764 DOI: 10.1016/j.tem.2023.08.012] [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: 07/06/2023] [Revised: 08/15/2023] [Accepted: 08/19/2023] [Indexed: 09/08/2023]
Abstract
Cytoplasmic mitochondrial DNA (mtDNA) can trigger the interferon response to promote disease progression, but mtDNA sensing mechanisms remain elusive. Lei et al. have shown that Z-DNA binding protein1 (ZBP1) cooperates with cyclic GMP-AMP synthase (cGAS) to sense Z-form mtDNA and transmit mtDNA stress signals to promote diseases such as cardiotoxicity, providing an important piece of the mtDNA stress landscape.
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Affiliation(s)
- Yang-Nan Ding
- Department of Laboratory Medicine, Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, Henan 450052, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China; National Health Commission Key Laboratory of Chronobiology, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China; Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, No. 17 People's South Road, Chengdu, Sichuan 610041, China.
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Tian G, Zhou J, Quan Y, Kong Q, Li J, Xin Y, Wu W, Tang X, Liu X. Voltage-dependent anion channel 1 (VDAC1) overexpression alleviates cardiac fibroblast activation in cardiac fibrosis via regulating fatty acid metabolism. Redox Biol 2023; 67:102907. [PMID: 37797372 PMCID: PMC10622884 DOI: 10.1016/j.redox.2023.102907] [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: 09/23/2023] [Accepted: 09/26/2023] [Indexed: 10/07/2023] Open
Abstract
Cardiac fibrosis is characterized by the excessive deposition of extracellular matrix in the myocardium with cardiac fibroblast activation, leading to chronic cardiac remodeling and dysfunction. However, little is known about metabolic alterations in fibroblasts during cardiac fibrosis, and there is a lack of pharmaceutical treatments that target metabolic dysregulation. Here, we provided evidence that fatty acid β-oxidation (FAO) dysregulation contributes to fibroblast activation and cardiac fibrosis. With transcriptome, metabolome, and functional assays, we demonstrated that FAO was downregulated during fibroblast activation and cardiac fibrosis, and that perturbation of FAO reversely affected the fibroblast-to-myofibroblast transition. The decrease in FAO may be attributed to reduced long-chain fatty acid (LCFA) uptake. Voltage-dependent anion channel 1 (VDAC1), the main gatekeeper of the outer mitochondrial membrane (OMM), serves as the transporter of LCFA into the mitochondria for further utilization and has been shown to be decreased in myofibroblasts. In vitro, the addition of exogenous VDAC1 was shown to ameliorate cardiac fibroblast activation initiated by transforming growth factor beta 1 (TGF-β1) stimuli, and silencing of VDAC1 displayed the opposite effect. A mechanistic study revealed that VDAC1 exerts a protective effect by regulating LCFA uptake into the mitochondria, which is impaired by an inhibitor of carnitine palmitoyltransferase 1A. In vivo, AAV9-mediated overexpression of VDAC1 in myofibroblasts significantly alleviated transverse aortic constriction (TAC)-induced cardiac fibrosis and rescued cardiac function in mice. Finally, we treated mice with the VDAC1-derived R-Tf-D-LP4 peptide, and the results showed that R-Tf-D-LP4 prevented TAC-induced cardiac fibrosis and dysfunction in mice. In conclusion, this study provides evidence that VDAC1 maintains FAO metabolism in cardiac fibroblasts to repress fibroblast activation and cardiac fibrosis and suggests that the VDAC1 peptide is a promising drug for rescuing fibroblast metabolism and repressing cardiac fibrosis.
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Affiliation(s)
- Geer Tian
- Department of Cardiology and Laboratory of Cardiovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Junteng Zhou
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yue Quan
- Department of Cardiology and Laboratory of Cardiovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Qihang Kong
- Department of Cardiology and Laboratory of Cardiovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Junli Li
- Department of Cardiology and Laboratory of Cardiovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Yanguo Xin
- Department of Cardiology and Laboratory of Cardiovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Wenchao Wu
- Department of Cardiology and Laboratory of Cardiovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan, 610041, China; National Health Commission Key Laboratory of Chronobiology, Sichuan University, No.17 People's South Road, Chengdu, Sichuan, 610041, China; Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan, 610041, China.
| | - Xiaojing Liu
- Department of Cardiology and Laboratory of Cardiovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, PR China.
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Li WJ, Diao DC, Lin JX, Wang JH, Liao WL, Tang X, Xie JX, Ao L, Zhang XY, Yi XJ, Feng XC, Li HM, Lu XQ. [Feasibility of a three-sided encapsulation procedure based on fascia anatomy in laparoscopic lateral lymph node dissection for middle and low rectal cancer]. Zhonghua Wei Chang Wai Ke Za Zhi 2023; 26:968-976. [PMID: 37849268 DOI: 10.3760/cma.j.cn441530-20230525-00181] [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: 10/19/2023]
Abstract
Objective: To explore the feasibility and value of performing a three-sided encapsulation procedure based on fascia anatomy in laparoscopic lateral lymph node dissection (LLND) for middle and low rectal cancer. Methods: This was a retrospective review. The study cohort comprised patients who met the diagnostic criteria for rectal cancer according to the Chinese Guidelines for the Diagnosis and Treatment of Colorectal Cancer, had a short lymph node diameter of >5 mm on the lateral side within the 15 days before surgery, were evaluated as feasible candidates for laparoscopic total mesorectal excision+LLND surgery, had been diagnosed with low or intermediate level rectal cancer, and whose tumor was less than 8 cm away from the anal verge according to pathological examination of the operative specimen. Patients with a history of other malignant tumors of the abdomen or with incomplete follow-up data were excluded. Forty-two patients with middle and low rectal cancer who had undergone lateral lymph node dissection in diagnosis and treatment center of Gastrointestinal Cancer of Guangdong Hospital of Chinese Medicine from Jan.2018 to Dec.2022 were enrolled. There were 24 men (57.1%) and 18 women (42.9%) aged 58.4±11.8 years and the median BMI was 22.5 (19.3-24.1) kg/m2. The main point of the three-sided encapsulation procedure is to expand the external side medial to the external iliac artery and vein, narrowing the range of exterior side dissection. The anterior-medial side is designed to expand the vesical fascia to define the range of anterior-medial side extension. The internal side is fully extended to the ureterohypogastric nerve fascia; the distal point of the caudal extension reaches the level of the Alcock canal and the bottom reaches the piriformis, enabling dissection of the obturator nerve and No.283 lymph nodes. No.263D lymph nodes are dissected by exposing the internal iliac artery and its branches, dissecting the group No.263P lymph nodes, and severing the inferior vesical artery. Finally, the lateral lymphatic tissue is completely resected. Relevant variables were recorded, including the number of lateral lymph nodes detected, the rate of lymph node metastasis, operation duration, intraoperative blood loss, postoperative complications, postoperative hospital stay, and 3-year overall survival rate. Results: Laparoscopic surgery was successfully completed in all patients with no conversions to open surgery and no intraoperative complications. Twenty-seven (64.3%) of the study patients underwent left-sided LLND, 10 (23.8%) right-sided LLND, and five (11.9%) bilateral LLND, with lymph nodes cleared on both sides. All patients' lymph nodes were examined pathologically. A median of 17.0 (11.7, 26.0) lymph nodes was detected, the median of lateral lymph nodes being 5.0 (2.0, 10.2). The median operation time was 254.5 (199.0, 325.2) minutes. The median intra-operative blood loss was 50.0 (30.0, 100.0) mL. All patients were diagnosed with adenocarcinoma by pathological examination of the operative specimen. Two patients developed postoperative intestinal obstruction, one lymphatic leakage, and one a perineal incision infection. There were no cases of anastomotic leakage. The median postoperative hospital stay was 6.0 (5.0, 7.0) days and the median follow-up time 23.5 (9.0, 36.7) months. During follow-up, three patients (7.1%) died of tumor recurrence and metastasis. Two (4.8%) experienced mild urinary dysfunction, and one (2.4%) had moderate postoperative erectile dysfunction. One patient (2.4%) was found to have prostate and lung metastases 3 month after surgery. The 3-year overall survival rate was 74.4%. Conclusions: Three sided encapsulation is a safe and feasible procedure for LLND, achieving accurate and complete clearance of lateral lymphatic tissue.
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Affiliation(s)
- W J Li
- The Second Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - D C Diao
- Department of Gastrointestinal Surgery, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
| | - J X Lin
- The Second Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - J H Wang
- The Second Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - W L Liao
- The Second Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - X Tang
- The Second Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - J X Xie
- The Second Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - L Ao
- Department of Gastrointestinal Surgery, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
| | - X Y Zhang
- The Second Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - X J Yi
- Department of Gastrointestinal Surgery, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
| | - X C Feng
- Department of Gastrointestinal Surgery, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
| | - H M Li
- Department of Gastrointestinal Surgery, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
| | - X Q Lu
- Department of Gastrointestinal Surgery, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
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Chen X, Zhang H, Ren S, Ding Y, Remex NS, Bhuiyan MS, Qu J, Tang X. Gut microbiota and microbiota-derived metabolites in cardiovascular diseases. Chin Med J (Engl) 2023; 136:2269-2284. [PMID: 37442759 PMCID: PMC10538883 DOI: 10.1097/cm9.0000000000002206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Indexed: 07/15/2023] Open
Abstract
ABSTRACT Cardiovascular diseases, including heart failure, coronary artery disease, atherosclerosis, aneurysm, thrombosis, and hypertension, are a great economic burden and threat to human health and are the major cause of death worldwide. Recently, researchers have begun to appreciate the role of microbial ecosystems within the human body in contributing to metabolic and cardiovascular disorders. Accumulating evidence has demonstrated that the gut microbiota is closely associated with the occurrence and development of cardiovascular diseases. The gut microbiota functions as an endocrine organ that secretes bioactive metabolites that participate in the maintenance of cardiovascular homeostasis, and their dysfunction can directly influence the progression of cardiovascular disease. This review summarizes the current literature demonstrating the role of the gut microbiota in the development of cardiovascular diseases. We also highlight the mechanism by which well-documented gut microbiota-derived metabolites, especially trimethylamine N-oxide, short-chain fatty acids, and phenylacetylglutamine, promote or inhibit the pathogenesis of cardiovascular diseases. We also discuss the therapeutic potential of altering the gut microbiota and microbiota-derived metabolites to improve or prevent cardiovascular diseases.
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Affiliation(s)
- Xiaofeng Chen
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China
| | - Hua Zhang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- Key Laboratory of Chronobiology (Sichuan University), National Health Commission of China, Chengdu, Sichuan 610041, China
- Sichuan Birth Defects Clinical Research Center, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Sichong Ren
- Department of Nephrology, Clinical Medical College and The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan 610500, China
| | - Yangnan Ding
- Clinical Laboratory, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Naznin Sultana Remex
- Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center, Shreveport, LA 71103, USA
| | - Md. Shenuarin Bhuiyan
- Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center, Shreveport, LA 71103, USA
- Department of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center, Shreveport, LA 71103, USA
| | - Jiahua Qu
- Department of Pathology, University of California, San Francisco, CA 94117, USA
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- Key Laboratory of Chronobiology (Sichuan University), National Health Commission of China, Chengdu, Sichuan 610041, China
- Sichuan Birth Defects Clinical Research Center, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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Wu F, Tang X, Zhang Y, Wei L, Wang T, Lu Z, Wei J, Ma S, Jiang L, Gao T, Huang Q. The Role of Radiation Therapy for Metastatic Cervical Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e555. [PMID: 37785704 DOI: 10.1016/j.ijrobp.2023.06.1865] [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) Survival rates for women with metastatic cervical cancer (CC) are low, with limited management options. Radiation therapy (RT) for metastatic disease has led to prolonged survival in other malignancies, however, the data are scarce in CC. Herein, we evaluated the effect of RT for metastatic CC. MATERIALS/METHODS A total of 58 patients with metastatic CC between September 2019 and January 2023 were retrospectively analyzed. All the patients were treated with platinum-based chemotherapy combined with targeted therapy or immunotherapy followed with or without RT (NRT). The recent efficacy, survival status and prognostic factors were analyzed statistically. RESULTS Objective response rate (ORR) was 63.6% with one complete and twenty partial responses in RT group (n = 33) and 40.0% with two complete and eight partial responses in NRT group (n = 25), respectively (p = 0.074). Disease control rate (DCR) of the RT and NRT groups were 79.4% vs 80.0%, respectively (p = 0.861). Median follow-up time was 17 months (3-39months). In RT group, 11(33.3%) patients experienced local regional or distant failure and 9 (27.3%) patients were dead. In NRT group, 15(60%) patients had progression and 8 (32%) patients dead. There was no significant difference between the two groups in overall survival (OS); however, RT group displayed superior progression-free survival (PFS) (1-year OS: 72.7% vs. 68.0%, p = 0.460; 1-year PFS: 66.7% vs. 40.0%, p = 0.039). The multivariate analysis showed that RT, immunotherapy, lymph node metastasis only relevant predictor of superior PFS but not OS. In subgroup analysis, patients treated with RT appeared to have a better PFS in some specific cohorts, such as age>45 years (72.0% vs 36.4% P = 0.015), squamous carcinoma histology (71.0% vs 40.9% P = 0.017), metastatic at diagnosis (75.0% vs 47.6% P = 0.012), non-targeted therapy (72.4% vs 43.8% P = 0.040). No significant increase in treatment-related toxicity was observed in the RT group compared with the NRT group. CONCLUSION RT provided superior PFS in metastatic CC patients compared to NRT, and well tolerated. Moreover, RT, immunotherapy, lymph node metastasis only were independent significant prognostic factors for PFS. Subgroup analysis showed that combination of RT and chemotherapy obtained favorable PFS in metastatic CC patients with age>45 years, squamous carcinoma histology, metastatic at diagnosis, non-targeted therapy. Studies with a larger sample size and longer follow-up are warranted.
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Affiliation(s)
- F Wu
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - X Tang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China; Department of Radiation Oncology, Liuzhou People's Hospital, Liuzhou, Guangxi, China
| | - Y Zhang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - L Wei
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - T Wang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Z Lu
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - J Wei
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - S Ma
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - L Jiang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - T Gao
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Q Huang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
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Wang L, Zou B, Huang W, Shao Q, Meng X, Tang X, Zhang P, Hu X, Zhang Y, Guo J, Fu L, Zhao W, Zhao C, Yuan J, Yu J, Chen D. Safety and Efficacy Analysis of Patients with Extensive-Stage Small Cell Lung Cancer (ES-SCLC) Treated with SHR-1316 Plus Chemotherapy and Sequential Chest Radiotherapy as First-Line Therapy from a Phase II Trial. Int J Radiat Oncol Biol Phys 2023; 117:S58-S59. [PMID: 37784531 DOI: 10.1016/j.ijrobp.2023.06.354] [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) CAPSTONE-1, a phase 3 trial, showed that SHR-1316 (PD-L1 antibody) combined with standard first-line chemotherapy could prolong overall survival (OS) in patients (pts) with ES-SCLC. The CREST trial reported consolidative thoracic radiotherapy (TRT) of 30 Gy in 10 fractions provided a 10% 2-year OS benefit and more intensive TRT should be investigated in ES-SCLC. In the era of immunotherapy, the role of TRT also needs further exploration. Therefore, we designed this clinical trial to investigate the efficacy and safety of SHR-1316 plus first-line chemotherapy followed by TRT combined with SHR-1316. MATERIALS/METHODS Key inclusion criteria were pts aged 18-75 years, with previously untreated histologically or cytologically confirmed ES-SCLC, and an ECOG performance status of 0-1. Eligible pts would receive 4∼6 cycles of SHR-1316 (20mg/kg, D1, q3w) combined with EP/EC (etoposide, 100mg/m2, D1-5, q3w and cisplatin, 75mg/m², D1-3, q3w or carboplatin, AUC = 5, D1, q3w), followed by SHR-1316 combined with TRT (≥3 Gy*10 f or ≥2 Gy*25 f, involved-field irradiation), and then the maintenance therapy with SHR-1316 until disease progression or intolerable adverse events (AEs). The main endpoints included ORR, PFS and safety. RESULTS From October 2020 to January 2023, 33 pts received SHR-1316 and sequential consolidative TRT. Among them, 19 pts received high-dose TRT (>3 Gy*10 f or ≥2 Gy*25 f) and 14 pts received low-dose TRT (≤3 Gy*10 f or<2 Gy*25 f). The median age was 62 (range: 38-73). Most pts were male (28, 84.8%), former smokers (22, 66.7%) with an ECOG performance status 1 (32, 97%). Ten (30.3%) pts were diagnosed with brain metastasis and 10 (30.3%) pts had liver metastasis at baseline. At the data cutoff date, 9 pts remained on treatment, the average number of treatment cycles was 9.2. 33 pts had at least one 1 post-treatment tumor assessment. The confirmed ORR and DCR were 90.9% (30/33) and 100% (33/33) in all pts, were 89.5% (17/19) and 100% (19/19) in high-dose TRT group, and were 92.9% (13/14) and 100% (14/14) in low-dose TRT group. The median PFS was 10.2(CI: 5.8∼14.7) months in all pts, was 7 (CI: 3.8∼10.2) months in high-dose TRT group and 10.4 (CI: 8.4∼12.3) months in low-dose TRT group. AEs occurred in 27 (81.8%) pts and grade 3 or 4 AEs occurred in 20 (60.6%) pts. The most common grade 3 or 4 AEs included neutropenia (15, 45.5%), leukopenia (8, 24.2%), lymphocytopenia (5, 15.2%), pneumonia (3, 9.1%), anemia (3, 9.1%) and thrombocytopenia (2, 6.1%). CONCLUSION SHR-1316 plus chemotherapy and sequential TRT as first-line therapy for ES-SCLC showed promising efficacy and acceptable safety. There is no significant difference between high-dose and low-dose TRT groups in terms of safety and efficacy according to current data.
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Affiliation(s)
- L Wang
- Shandong Cancer Hospital, Shandong University, Jinan, China
| | - B Zou
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - W Huang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Q Shao
- Shandong Cancer Hospital and Institute, Jinan, China
| | - X Meng
- Shandong Cancer Hospital, Shandong University, Jinan, China
| | - X Tang
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong Province, China
| | - P Zhang
- Shandong Cancer Hospital, Shandong University, Jinan, China
| | - X Hu
- Shandong Cancer Hospital, Shandong University, Jinan, China
| | - Y Zhang
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong Province, China
| | - J Guo
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong Province, China
| | - L Fu
- Shandong Cancer Hospital, Shandong University, Jinan, China
| | - W Zhao
- Shandong Cancer Hospital, Shandong University, Jinan, China
| | - C Zhao
- Jiangsu Hengrui Pharmaceuticals Co. Ltd, Shanghai, China
| | - J Yuan
- Jiangsu Hengrui Pharmaceuticals Co. Ltd, Shanghai, China
| | - J Yu
- Shandong Cancer Hospital, Shandong University, Jinan, Shandong, China
| | - D Chen
- Shandong Cancer Hospital, Shandong University, Jinan, China
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Huang G, Wang Q, Tang X. Changes and Relationship in Nutrition Impact Symptoms, Malnutrition during Esophageal Cancer Treatment. Int J Radiat Oncol Biol Phys 2023; 117:e394-e395. [PMID: 37785322 DOI: 10.1016/j.ijrobp.2023.06.1520] [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) The aim of this study was to assess the changes and relationship between nutritional impact symptoms (NIS) and malnutrition incidence during radiotherapy in patients with esophageal cancer. MATERIALS/METHODS A prospective observational study recruited hospitalized patients with esophageal cancer who received radiotherapy or did not receive chemotherapy. 283 patients with esophageal carcinoma were followed up before and during the fourth week of radiotherapy. Nutritional parameters were collected during radiotherapy. RESULTS According to the patient 's assessment of NIS and subjective global assessment (PG-SGA), at the mid-term of radiotherapy, the proportion of patients with NIS≥3 increased from 20.8% to 61.13%. Inappetence (37.1%) and abdominal distension (28.6%) were the most common nutritional symptoms. Severe malnutrition increased from 39% to 58.1%.NIS (odds ratio (OR) 30.93, 95% CI 15.92, 60.10, p <0.001) and weight loss of ≥5% (odds ratio (OR) 24.1, 95% CI 11.98, 48.47, p <0.001) were independently associated with severe malnutrition during radiotherapy. CONCLUSION Strengthen the nutritional support therapy during mid-radiotherapy for esophageal cancer patient, and NIS can directly predict malnutrition.PG-SGA and NIS can be used for nutritional monitoring in esophageal cancer patients.
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Affiliation(s)
- G Huang
- Cancer Hospital affiliate to University of Electronic Science and Technology, Chengdu, China
| | - Q Wang
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
| | - X Tang
- Sichuan Cancer Hospital, Chengdu, China
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Li Y, Jing W, Jing X, Sun Y, Tang X, Guo J, Zhang Y, Zhu H. Outcomes of Consolidative Thoracic Radiation within First-Line Chemoimmunotherapy in Extensive-Stage Small-Cell Lung Cancer: Results from a Single Cancer Center. Int J Radiat Oncol Biol Phys 2023; 117:e37-e38. [PMID: 37785262 DOI: 10.1016/j.ijrobp.2023.06.730] [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) Thoracic radiation (TRT) benefits local control undoubtedly and survival with some minor controversy in extensive-stage small-cell lung cancer (ES-SCLC) patients undergoing radiotherapy in the chemoradiotherapy era. However, whether TRT could further enhance the benefit of immune checkpoint inhibitors (ICIs) maintenance on outcomes in the immunotherapy era is still unclear. This study aims to investigate the role of consolidative TRT in ES-SCLC patients receiving first-line chemoimmunotherapy followed by immunotherapy maintenance. MATERIALS/METHODS Outcomes of patients who were treated with first-line chemo-immunotherapy followed by ICIs maintenance for ES-SCLC were reviewed. Based on TRT or not, patients were allocated to TRT group or non-TRT group. Progression-free survival (PFS), overall survival (OS) and local-recurrence free survival (LRFS) were calculated by the Kaplan-Meier method and compared by log-rank test. RESULTS A total of 100 patients with no progressive disease after 4 cycles of chemotherapy were retrospectively analyzed between January 2020 and December 2021 and were allocated into TRT group (n = 47) and non-TRT group (n = 53). The median follow-up time was 20.3 months. The median PFS and OS in TRT were 9.1 months and 21.8 months, versus 8.8 months (p = 0.93) and 24.3 months (p = 0.63), respectively, in non-TRT. ICIs agents consisted of Durvalumab (59.0%) and Atezolizumab (41.0%). The median dose of TRT is 50 Gy (IQR: 45 - 54), while the median interval time from chemotherapy completion to TRT was 31 days (IQR: 12 - 44.5). Only 10 (21.3%) patients terminated ICIs in the period of TRT. The rate of intrathoracic progression after the first-line therapy in TRT significantly decreased compared to that with non-TRT (20.0% versus 55.9%, p = 0.003). The median LRFS time in TRT was not reached, but significantly longer than 10.8 months in non-TRT (HR = 0.27, p < 0.01). Second-line chemotherapy significantly prolonged survival compared to that with chemo-free patients (mOS: 24.5 vs. 21.4 months, p = 0.026). The subgroup analysis showed a trend of patients with brain metastases benefit from TRT (21.8 versus 13.7 months, HR 0.61, p = 0.38) while liver metastases did not (13.3 versus 15.0 months, HR 1.80, p = 0.21). Of 47 patients with TRT, only 10.6% of patients experienced grade 3 radiation-induced pneumonitis, while no grade 4 or 5 adverse events occurred. None of patients experienced grade ≥ 3 treatment-related cardiac events. CONCLUSION Consolidative TRT in the period of immunotherapy maintenance followed first-line chemo-immunotherapy did not prolong OS and PFS but increased LRFS in ES-SCLC.
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Affiliation(s)
- Y Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong Province, China, Jinan, China
| | - W Jing
- Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250021, Shandong Province, China, Jinan, China; Department of Radiation Oncology, Shandong Provincial Hospital to Shandong First Medical University, Jinan 250021, Shandong Province, China, Jinan, China
| | - X Jing
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong Province, China, Jinan, China
| | - Y Sun
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong Province, China, Jinan, China
| | - X Tang
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong Province, China, Jinan, China
| | - J Guo
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong Province, China, Jinan, China
| | - Y Zhang
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong Province, China, Jinan, China
| | - H Zhu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong Province, China, Jinan, China
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Yang C, Tang X, Pan Z. [Experimental study on the molluscicidal activity of surfactin against Oncomelania hupensis]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:394-397. [PMID: 37926476 DOI: 10.16250/j.32.1374.2022246] [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: 11/07/2023]
Abstract
OBJECTIVE To evaluate the molluscicidal activity of surfactin against Oncomelania hupensis, so as to provide the experimental basis for use of Bacillus for killing O. hupensis. METHODS O. hupensis snails were collected from schistosomiasisendemic foci of Wuhu City on September 2022, and Schistosoma japonicum-infected snails were removed. Then, 60 snails were immersed in surfactin at concentrations of 2, 1, 0.5, 0.25, 0.125 mg/mL and 0.062 5 mg/mL for 24, 48, 72 hours at 26 °C, while ultrapure water-treated snails served as controls. The median lethal concentration (LC50) of surfactin against O. hupensis snails was estimated. O. hupensis snails were immersed in surfactin at a concentration of 24 h LC50 and ultrapure water, and then stained with propidium iodide (PI). The PI uptake in haemocyte was observed in O. hupensis snails using fluorescence microscopy. RESULTS The mortality of O. hupensis was 5.0% following immersion in surfactin at a concentration of 0.062 5 mg/mL for 24 h, and the mortality was 100.0% following immersion in surfactin at a concentration of 2 mg/mL for 72 h, while no snail mortality was observed in the control group. There were significant differences in the mortality of O. hupensis in each surfactin treatment groups at 24 (χ2 = 180.150, P < 0.05), 48 h (χ2 = 176.786, P < 0.05) and 72 h (χ2 = 216.487, P < 0.05), respectively. The average mortality rates of O. hupensis were 38.9% (140/360), 62.2% (224/360) and 83.3% (300/360) 24, 48 h and 72 h post-immersion in surfactin, respectively (χ2 = 150.264, P < 0.05), and the 24, 48 h and 72 h LC50 values of surfactin were 0.591, 0.191 mg/mL and 0.054 mg/mL against O. hupensis snails. Fluorescence microscopy showed more numbers of haemocytes with PI uptake in 0.5 mg/mL surfactintreated O. hupensis snails than in ultrapure water-treated snails for 24 h, and there was a significant difference in the proportion of PI uptake in haemocytes between surfactin-and ultrapure water-treated snails (χ2 = 6.690, P < 0.05). CONCLUSIONS Surfactin is active against O. hupensis snails, which may be associated with the alteration in the integrity of haemocyte membrane.
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Affiliation(s)
- C Yang
- Department of Microbiology and Immunology, Wannan Medical College, Wuhu, Anhui 241002, China
| | - X Tang
- Department of Microbiology and Immunology, Wannan Medical College, Wuhu, Anhui 241002, China
| | - Z Pan
- Department of Microbiology and Immunology, Wannan Medical College, Wuhu, Anhui 241002, China
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Huhn SC, Chang M, Jiang B, Tang X, Betenbaugh M, Du Z. Genomic features of recombinant CHO clones arising from transposon-based and randomized integration. J Biotechnol 2023; 373:73-81. [PMID: 37271453 DOI: 10.1016/j.jbiotec.2023.05.009] [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: 03/10/2023] [Revised: 05/04/2023] [Accepted: 05/28/2023] [Indexed: 06/06/2023]
Abstract
The use of transposase in cell line development (CLD) programs has experienced increased popularity over the past decade. However, few studies have described the mechanism of action and the genomic and phenotypic characteristics of clones derived from transposase. Additionally, how these traits impact long-term bioproduction is unknown. Here, we use chromosome painting, deep sequencing, and ddPCR to characterize the unique fingerprints associated with transposase-derived clones. Transposase reduces the cellular pool of transient vector as early as three days post transfection following transfection and expedites stable pool establishment by up to two weeks. Furthermore, recombinant DNA expression is significantly improved up to ∼3 fold along with a greater balance of antibody heavy and light chain transcripts, resulting in higher titers in transposase generated pools. Transposase derived pools contained an often innumerable number of integration sites, representing a vast increase in integration site diversity over randomly generated pools, which were bottlenecked at 1-3 integration sites per pool. These transposase mediated integrations typically occurred in clean singlets, free of genomic scars such as deletions, inversions, and other modifications associated with legacy transfection methods which exhibited higher copy numbers per integration site. Relative declines in gene expression occur with copy number increase in the randomly generated, but not the transposase derived clones. Furthermore, transposase-derived clones were more likely to exhibit enhanced a long term stability profile, including product quality attributes such as mannose-5. This improved stability may result from circumventing mechanisms associated with the silencing of tandem repeats. Thus, transposase-mediated approaches can provide multifaceted molecular and phenotypic advantages in cell line development when compared to legacy random-integration methods.
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Affiliation(s)
- S C Huhn
- Merck Sharp & Dohme LLC, 126 East Lincoln Avenue P.O. Box 2000, Rahway, NJ 07065, USA.
| | - M Chang
- Merck Sharp & Dohme LLC, 126 East Lincoln Avenue P.O. Box 2000, Rahway, NJ 07065, USA
| | - B Jiang
- Merck Sharp & Dohme LLC, 126 East Lincoln Avenue P.O. Box 2000, Rahway, NJ 07065, USA
| | - X Tang
- Merck Sharp & Dohme LLC, 126 East Lincoln Avenue P.O. Box 2000, Rahway, NJ 07065, USA
| | - M Betenbaugh
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Z Du
- Merck Sharp & Dohme LLC, 126 East Lincoln Avenue P.O. Box 2000, Rahway, NJ 07065, USA
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Sun W, Chen P, Tang X, Gu Y, Tian X. [An improved 4-vessel intermittent occlusion method for establishing rat models of global cerebral ischemia-reperfusion injury]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1194-1203. [PMID: 37488802 PMCID: PMC10366505 DOI: 10.12122/j.issn.1673-4254.2023.07.16] [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: 07/26/2023]
Abstract
OBJECTIVE To improve the classical 4-vessel occlusion (4VO) model established by Pulsinelli and Brierley. METHODS Thirty-two male SD rats were randomized into sham operation group, I4VO-Con10 group, I4VO-Int10 group and I4VO-Int15 group. The sham surgery group underwent exposure of the bilateral vertebral arteries and carotid arteries without occlusion to block blood flow. The I4VO-Con10 group experienced continuous ischemia by occluding the bilateral vertebral arteries and carotid arteries for 10 minutes followed by reperfusion for 24 hours. The I4VO-Int10 and I4VO-Int15 groups were subjected to intermittent ischemia. The I4VO- Int10 group underwent 5 minutes of ischemia, followed by 5 minutes of reperfusion and another 5 minutes of ischemia, and then reperfusion for 24 hours. The I4VO-Int15 group experienced 5 minutes of ischemia followed by two cycles of 5 minutes of reperfusion and 5 minutes of ischemia, and then reperfusion for 24 hours. The regional cerebral blood flow (rCBF) was monitored with laser Doppler scanning, and survival of the rats was observed. HE staining was used to observe hippocampal pathologies to determine the optimal method for modeling. Another 48 rats were randomized into 6 groups, including a sham operation group and 5 model groups established using the optimal method. The 5 I4VO model groups were further divided based on the reperfusion time points (1, 3, 7, 14, and 28 days) into I4VO-D1, I4VO-D3, I4VO-D7, I4VO- D14, and I4VO- D28 groups. Body weight changes and survival of the rats were recorded. HE staining was used to observe morphological changes in the hippocampal, retinal and optic tract tissues. The Y-maze test and light/dark box test were used to evaluate cognitive and visual functions of the rats in I4VO-D28 group. RESULTS Occlusion for 5 min for 3 times at the interval of 5 min was the optimal method for 4VO modeling. In the latter 48 rats, the body weight was significantly lower than that of the sham-operated rats at 1, 3, 7, 14 and 28 days after modeling without significant difference in survival rate among the groups. The rats with intermittent vessel occlusion exhibited progressive deterioration of hippocampal neuronal injury and neuronal loss. Cognitive impairment was observed in the rats in I4VO-D28 group, but no obvious ischemic injury of the retina or the optic tract was detected. CONCLUSION The improved 4VO model can successfully mimic the main pathological processes of global cerebral ischemia-reperfusion injury without causing visual impairment in rats.
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Affiliation(s)
- W Sun
- Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - P Chen
- Experiment Center for Science and Technology, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - X Tang
- Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Y Gu
- Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - X Tian
- Experiment Center for Science and Technology, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
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Tang X, Wang T, Shi H, Zhang M, Yin R, Wu Q, Pan C. Artificial Intelligence and Big Data Technologies in the Construction of Surgical Risk Prediction Model for Patients with Coronary Artery Bypass Grafting. Comput Intell Neurosci 2023; 2023:9575553. [PMID: 37455771 PMCID: PMC10348861 DOI: 10.1155/2023/9575553] [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] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 06/06/2022] [Accepted: 06/14/2022] [Indexed: 07/18/2023]
Abstract
The objective of this work was to predict the risk of mortality rate in patients with coronary artery bypass grafting (CABG) based on the risk prediction model of CABG using artificial intelligence (AI) and big data technologies. The clinical data of 2,364 patients undergoing CABG in our hospital from January 2019 to August 2021 were collected in this work. Based on AI and big data technology, business requirement analysis, system requirement analysis, complication prediction module, big data mining technology, and model building are carried out, respectively; the successful CABG risk prediction system includes case feature analysis service, risk warning service, and case retrieval service. The commonly used precision, recall, and F1-score were adopted to evaluate the quality of the gradient-boosted tree (GBT) model. The analysis proved that the GBT model was the best in terms of precision, F1-score, and area under the receiver operating characteristic curve (ROC). According to the CABG risk prediction model, 1,382 patients had a score of <0, 463 patients had a score of 0 ≤ score ≤ 2, 252 patients had a score of 2 < score ≤ 5, and 267 patients had a score of >5, which were stratified into four groups: A, B, C, and D. The actual number of in-hospital deaths was 25, and the in-hospital mortality rate was 1.05%. The mortality rate predicted by the CABG risk prediction model was 2.67 ± 1.82% (95% confidential interval (CI) (2.87-2.98)), which was higher than the actual value. The CABG risk prediction model showed the credible results only in group B with AUC = 0.763 > 0.7. In group B, 3 patients actually died, the actual mortality rate was 0.33%, and the predicted mortality rate was 0.96 ± 0.78 (95% CI (0.82-0.87)), which overestimated the mortality rate of patients in group B. It successfully constructed a CABG risk prediction model based on the AI and big data technologies, which would overestimate the mortality of patients with intermediate risk, and it is suitable for different types of heart diseases through continuous research and development and innovation, and provides clinical guidance value.
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Affiliation(s)
- Xiaoqiang Tang
- Radiology Department, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213164, Jiangsu, China
| | - Tao Wang
- Radiology Department, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213164, Jiangsu, China
| | - Haifeng Shi
- Radiology Department, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213164, Jiangsu, China
| | - Ming Zhang
- Radiology Department, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213164, Jiangsu, China
| | - RuoHan Yin
- Radiology Department, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213164, Jiangsu, China
| | - Qiyong Wu
- Cardio Thoracic Department, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213164, Jiangsu, China
| | - Changjie Pan
- Radiology Department, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213164, Jiangsu, China
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Ding YN, Wang TT, Lv SJ, Tang X, Wei ZY, Yao F, Xu HS, Chen YN, Wang XM, Wang HY, Wang HP, Zhang ZQ, Zhao X, Hao DL, Sun LH, Zhou Z, Wang L, Chen HZ, Liu DP. SIRT6 is an epigenetic repressor of thoracic aortic aneurysms via inhibiting inflammation and senescence. Signal Transduct Target Ther 2023; 8:255. [PMID: 37394473 DOI: 10.1038/s41392-023-01456-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 04/20/2023] [Accepted: 04/27/2023] [Indexed: 07/04/2023] Open
Abstract
Thoracic aortic aneurysms (TAAs) develop asymptomatically and are characterized by dilatation of the aorta. This is considered a life-threating vascular disease due to the risk of aortic rupture and without effective treatments. The current understanding of the pathogenesis of TAA is still limited, especially for sporadic TAAs without known genetic mutation. Sirtuin 6 (SIRT6) expression was significantly decreased in the tunica media of sporadic human TAA tissues. Genetic knockout of Sirt6 in mouse vascular smooth muscle cells accelerated TAA formation and rupture, reduced survival, and increased vascular inflammation and senescence after angiotensin II infusion. Transcriptome analysis identified interleukin (IL)-1β as a pivotal target of SIRT6, and increased IL-1β levels correlated with vascular inflammation and senescence in human and mouse TAA samples. Chromatin immunoprecipitation revealed that SIRT6 bound to the Il1b promoter to repress expression partly by reducing the H3K9 and H3K56 acetylation. Genetic knockout of Il1b or pharmacological inhibition of IL-1β signaling with the receptor antagonist anakinra rescued Sirt6 deficiency mediated aggravation of vascular inflammation, senescence, TAA formation and survival in mice. The findings reveal that SIRT6 protects against TAA by epigenetically inhibiting vascular inflammation and senescence, providing insight into potential epigenetic strategies for TAA treatment.
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Affiliation(s)
- Yang-Nan Ding
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ting-Ting Wang
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shuang-Jie Lv
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, China
- National Health Commission Key Laboratory of Chronobiology, Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Zi-Yu Wei
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fang Yao
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Han-Shi Xu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi-Nan Chen
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiao-Man Wang
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hui-Yu Wang
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - He-Ping Wang
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhu-Qin Zhang
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Medical Epigenetics Research Center, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiang Zhao
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - De-Long Hao
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li-Hong Sun
- Center for Experimental Animal Research, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhou Zhou
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular Diseases, Center of Laboratory Medicine, Beijing, China
| | - Li Wang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Medical Epigenetics Research Center, Chinese Academy of Medical Sciences, Beijing, China.
| | - Hou-Zao Chen
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Medical Epigenetics Research Center, Chinese Academy of Medical Sciences, Beijing, China.
| | - De-Pei Liu
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Medical Epigenetics Research Center, Chinese Academy of Medical Sciences, Beijing, China.
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Yang ZT, Kim SW, Kim YS, Tang X, Li H, Wang EL. Influence of 12 weeks of basketball training on college students' heart function. Eur Rev Med Pharmacol Sci 2023; 27:6474-6479. [PMID: 37522658 DOI: 10.26355/eurrev_202307_33117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
OBJECTIVE This study aims to investigate the influence of 12 weeks of basketball training on college students' heart function. SUBJECTS AND METHODS The subjects were 30 college male basketball players. Carry out 8-week interval training, monitor the training load and interval time of athletes, and strictly control the heart rate during the interval. Before and after training, we used safe and effective experimental instruments - without any damage to the athletes - to detect the relevant indicators of the athletes' physiological functions; hence we compared and analyzed the various indicators before and after training. RESULTS The time domain indexes Root Mean Square of Successive Differences (RMSSD), Statistically Determined Spatial Drift (SDSD), percentage of NN50 in the total number of NN intervals (PNN50), and Standard Deviation of all NN intervals for all 5-min segment (SDNN) after training were significantly higher than those before training, and the differences were statistically significant (p<0.05). Average (Avag) and Statistically Determined Allocation Weights (SDAW) after training were significantly higher than those before training, the difference was statistically significant (p<0.05); Asymmetry (Asym) and Tension index (TI) were significantly lower than those before training, the difference was statistically significant (p<0.05), Application Information Index (ApInf) had no significant difference (p>0.05). There was no significant difference in shooting hit rate (p>0.05). The speed of the 8-character dribble in the whole field after training was significantly lower than that before training, and the differences were statistically significant (p<0.05). There was no significant difference in average jump height, maximum jump height, average time in the air, and best jump time in the air after training (p>0.05). For the test of athletes' explosive power, five vertical jumps in situ were selected for testing, and the jump height and time in the air of each vertical jump were counted to calculate the maximum and average values of five vertical jumps. The results showed that there was no significant change in the explosive force of the athletes' lower limbs after training. The reason may be that strength training needs to follow the principles of heavy load, specialization, exercise sequence and reasonable interval. The intermittent training method used during training is not specialized in strength training, and the reasonable interval of strength training was not considered in the training process. CONCLUSIONS Intermittent training can increase the tension of the cardiac vagus nerve of college basketball players, increase the cardiac reserve function and the load that the heart can bear, so that the cardiac function can be improved well. It can improve the cardiopulmonary function and aerobic work ability of college basketball players. It can improve the adjustment ability of the heart, lungs, liver, and other organs of college basketball players. It also can increase the load intensity that the central nerve can bear and improve the function of the central nerve and autonomic nerve. The anti-fatigue ability of athletes can be improved. It can improve the speed quality of college basketball players.
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Affiliation(s)
- Z-T Yang
- Department of Physical Education, Jeonbuk National University, Jeonju, South Korea.
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Zhang Y, Wang X, Li XK, Lv SJ, Wang HP, Liu Y, Zhou J, Gong H, Chen XF, Ren SC, Zhang H, Dai Y, Cai H, Yan B, Chen HZ, Tang X. Sirtuin 2 deficiency aggravates ageing-induced vascular remodelling in humans and mice. Eur Heart J 2023:ehad381. [PMID: 37377116 PMCID: PMC10393077 DOI: 10.1093/eurheartj/ehad381] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 04/21/2023] [Accepted: 05/09/2023] [Indexed: 06/29/2023] Open
Abstract
AIMS The mechanisms underlying ageing-induced vascular remodelling remain unclear. This study investigates the role and underlying mechanisms of the cytoplasmic deacetylase sirtuin 2 (SIRT2) in ageing-induced vascular remodelling. METHODS AND RESULTS Transcriptome and quantitative real-time PCR data were used to analyse sirtuin expression. Young and old wild-type and Sirt2 knockout mice were used to explore vascular function and pathological remodelling. RNA-seq, histochemical staining, and biochemical assays were used to evaluate the effects of Sirt2 knockout on the vascular transcriptome and pathological remodelling and explore the underlying biochemical mechanisms. Among the sirtuins, SIRT2 had the highest levels in human and mouse aortas. Sirtuin 2 activity was reduced in aged aortas, and loss of SIRT2 accelerated vascular ageing. In old mice, SIRT2 deficiency aggravated ageing-induced arterial stiffness and constriction-relaxation dysfunction, accompanied by aortic remodelling (thickened vascular medial layers, breakage of elastin fibres, collagen deposition, and inflammation). Transcriptome and biochemical analyses revealed that the ageing-controlling protein p66Shc and metabolism of mitochondrial reactive oxygen species (mROS) contributed to SIRT2 function in vascular ageing. Sirtuin 2 repressed p66Shc activation and mROS production by deacetylating p66Shc at lysine 81. Elimination of reactive oxygen species by MnTBAP repressed the SIRT2 deficiency-mediated aggravation of vascular remodelling and dysfunction in angiotensin II-challenged and aged mice. The SIRT2 coexpression module in aortas was reduced with ageing across species and was a significant predictor of age-related aortic diseases in humans. CONCLUSION The deacetylase SIRT2 is a response to ageing that delays vascular ageing, and the cytoplasm-mitochondria axis (SIRT2-p66Shc-mROS) is important for vascular ageing. Therefore, SIRT2 may serve as a potential therapeutic target for vascular rejuvenation.
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Affiliation(s)
- Yang Zhang
- Department of Biochemistry & Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, China
| | - Xiaoman Wang
- Department of Biochemistry & Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, China
| | - Xun-Kai Li
- Department of Biochemistry & Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, China
| | - Shuang-Jie Lv
- Department of Biochemistry & Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, China
| | - He-Ping Wang
- Department of Biochemistry & Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, China
| | - Yang Liu
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
- Division of Vascular Surgery, Department of General Surgery, and Laboratory of Cardiovascular Diseases, West China Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
| | - Jingyue Zhou
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
- National Health Commission Key Laboratory of Chronobiology, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
- Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
| | - Hui Gong
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
- National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
| | - Xiao-Feng Chen
- School of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, 1166 Liutai Avenue, Chengdu, Sichuan 611137, China
| | - Si-Chong Ren
- Department of Nephrology, First Affiliated Hospital of Chengdu Medical College, 783 Xindu Avenue, Chengdu, Sichuan 610500, China
| | - Huina Zhang
- Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Road, Beijing 10029, China
| | - Yuxiang Dai
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, National Clinical Research Center for Interventional Medicine, 180 Fenglin Road, Shanghai 200032, China
| | - Hua Cai
- Division of Molecular Medicine, Department of Anesthesiology, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Bo Yan
- Institute of Precision Medicine, Jining Medical University, 133 Hehua Road, Taibaihu New District, Jining, Shandong 272067, China
| | - Hou-Zao Chen
- Department of Biochemistry & Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, China
- Medical Epigenetics Research Center, Chinese Academy of Medical Sciences, 5 Dong Dan San Tiao, Beijing 100005, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
- National Health Commission Key Laboratory of Chronobiology, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
- Development and Related Diseases of Women and Children, Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, No.17 People's South Road, Chengdu, Sichuan 610041, China
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Wang XH, Wang SY, Peng HX, Fan M, Guo HD, Hou TJ, Wang MY, Wu YQ, Qin XY, Tang X, Li J, Chen DF, Hu YH, Wu T. [Genotype-environment interaction on arterial stiffness: A pedigree-based study]. Beijing Da Xue Xue Bao Yi Xue Ban 2023; 55:400-407. [PMID: 37291913] [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: 06/10/2023]
Abstract
OBJECTIVE To utilized the baseline data of the Beijing Fangshan Family Cohort Study, and to estimate whether the association between a healthy lifestyle and arterial stiffness might be modified by genetic effects. METHODS Probands and their relatives from 9 rural areas in Fangshan district, Beijing were included in this study. We developed a healthy lifestyle score based on five lifestyle behaviors: smoking, alcohol consumption, body mass index (BMI), dietary pattern, and physical activity. The measurements of arterial stiffness were brachial-ankle pulse wave velocity (baPWV) and ankle-brachial index (ABI). A variance component model was used to determine the heritability of arterial stiffness. Genotype-environment interaction effects were performed by the maximum likelihood methods. Subsequently, 45 candidate single nucleotide polymorphisms (SNPs) located in the glycolipid metabolism pathway were selected, and generalized estimated equations were used to assess the gene-environment interaction effects between particular genetic loci and healthy lifestyles. RESULTS A total of 6 302 study subjects across 3 225 pedigrees were enrolled in this study, with a mean age of 56.9 years and 45.1% male. Heritability of baPWV and ABI was 0.360 (95%CI: 0.302-0.418) and 0.243 (95%CI: 0.175-0.311), respectively. Significant genotype-healthy diet interaction on baPWV and genotype-BMI interaction on ABI were observed. Following the findings of genotype-environment interaction analysis, we further identified two SNPs located in ADAMTS9-AS2 and CDH13 might modify the association between healthy dietary pattern and arterial stiffness, indicating that adherence to a healthy dietary pattern might attenuate the genetic risk on arterial stiffness. Three SNPs in CDKAL1, ATP8B2 and SLC30A8 were shown to interact with BMI, implying that maintaining BMI within a healthy range might decrease the genetic risk of arterial stiffness. CONCLUSION The current study discovered that genotype-healthy dietary pattern and genotype-BMI interactions might affect the risk of arterial stiffness. Furthermore, we identified five genetic loci that might modify the relationship between healthy dietary pattern and BMI with arterial stiffness. Our findings suggested that a healthy lifestyle may reduce the genetic risk of arterial stiffness. This study has laid the groundwork for future research exploring mechanisms of arterial stiffness.
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Affiliation(s)
- X H Wang
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - S Y Wang
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - H X Peng
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - M Fan
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - H D Guo
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - T J Hou
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - M Y Wang
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - Y Q Wu
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - X Y Qin
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - X Tang
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - J Li
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - D F Chen
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - Y H Hu
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - T Wu
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education, Beijing 100191, China
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25
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Zhang ML, Liu QP, Gong C, Wang JM, Zhou TJ, Liu XF, Shen P, Lin HB, Tang X, Gao P. [Comparison of aspirin treatment strategies for primary prevention of cardiovascular diseases: A decision-analytic Markov modelling study]. Beijing Da Xue Xue Bao Yi Xue Ban 2023; 55:480-487. [PMID: 37291924] [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: 06/10/2023]
Abstract
OBJECTIVE To compare the expected population impact of benefit and risk of aspirin treatment strategies for the primary prevention of cardiovascular diseases recommended by different guidelines in the Chinese Electronic Health Records Research in Yinzhou (CHERRY) study. METHODS A decision-analytic Markov model was used to simulate and compare different strategies of aspirin treatment, including: Strategy ①: Aspirin treatment for Chinese adults aged 40-69 years with a high 10-year cardiovascular risk, recommended by the 2020 Chinese Guideline on the Primary Prevention of Cardiovascular Diseases; Strategy ②: Aspirin treatment for Chinese adults aged 40-59 years with a high 10-year cardiovascular risk, recommended by the 2022 United States Preventive Services Task Force Recommendation Statement on Aspirin Use to Prevent Cardiovascular Disease; Strategy ③: Aspirin treatment for Chinese adults aged 40-69 years with a high 10-year cardiovascular risk and blood pressure well-controlled (< 150/90 mmHg), recommended by the 2019 Guideline on the Assessment and Management of Cardio-vascular Risk in China. The high 10-year cardiovascular risk was defined as the 10-year predicted risk over 10% based on the 2019 World Health Organization non-laboratory model. The Markov model simulated different strategies for ten years (cycles) with parameters mainly from the CHERRY study or published literature. Quality-adjusted life year (QALY) and the number needed to treat (NNT) for each ischemic event (including myocardial infarction and ischemic stroke) were calculated to assess the effectiveness of the different strategies. The number needed to harm (NNH) for each bleeding event (including hemorrhagic stroke and gastrointestinal bleeding) was calculated to assess the safety. The NNT for each net benefit (i.e., the difference of the number of ischemic events could be prevented and the number of bleeding events would be added) was also calculated. One-way sensitivity analysis on the uncertainty of the incidence rate of cardiovascular diseases and probabilistic sensitivity analysis on the uncertainty of hazard ratios of interventions were conducted. RESULTS A total of 212 153 Chinese adults, were included in this study. The number of people who were recommended for aspirin treatment Strategies ①-③ was 34 235, 2 813, and 25 111, respectively. The Strategy ③ could gain the most QALY of 403 [95% uncertainty interval (UI): 222-511] years. Compared with Strategy ①, Strategy ③ had similar efficiency but better safety, with the extra NNT of 4 (95%UI: 3-4) and NNH of 39 (95%UI: 19-132). The NNT per net benefit was 131 (95%UI: 102-239) for Strategy ①, 256 (95%UI: 181-737) for Strategy ②, and 132 (95%UI: 104-232) for Strategy ③, making Strategy ③ the most favorable option with a better QALY and safety, along with similar efficiency in terms of net benefit. The results were consistent in the sensitivity analyses. CONCLUSION The aspirin treatment strategies recommended by the updated guidelines on the primary prevention of cardiovascular diseases showed a net benefit for high-risk Chinese adults from developed areas. However, to balance effectiveness and safety, aspirin is suggested to be used for primary prevention of cardiovascular diseases with consideration for blood pressure control, resulting in better intervention efficiency.
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Affiliation(s)
- M L Zhang
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - Q P Liu
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - C Gong
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - J M Wang
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - T J Zhou
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - X F Liu
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - P Shen
- Yinzhou District Center for Disease Control and Prevention, Ningbo 315101, Zhejiang, China
| | - H B Lin
- Yinzhou District Center for Disease Control and Prevention, Ningbo 315101, Zhejiang, China
| | - X Tang
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases(Peking University), Ministry of Education, Beijing 100191, China
| | - P Gao
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
- Center of Real-world Evidence Evaluation, Peking University Clinical Research Institute, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases(Peking University), Ministry of Education, Beijing 100191, China
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Li Y, Li XY, Tang X, Wang R, Zhang CY, Wang SQ, Yuan X, Wang L, Tong ZH, Sun B. [Application of veno-arterio-venous extracorporeal membrane oxygenation in patients with critical respiratory failure combined with refractory shock]. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46:565-571. [PMID: 37278170 DOI: 10.3760/cma.j.cn112147-20221008-00803] [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: 06/07/2023]
Abstract
Objective: To preliminarily analyze the application experience of veno-arterio-venous extracorporeal membrane oxygenation (VAV-ECMO).The VAV-ECMO is a rescue strategy for patients with extremely critical respiratory failure combined with refractory shock. Methods: From February 2016 to February 2022, the characteristics and outcomes of patients who were started on either veno-venous or veno-arterial ECMO due to respiratory or hemodynamic failure, and then converted to VAV-ECMO in respiratory intensive care unit (ICU) of Beijing Chaoyang Hospital were analyzed. Results: A total of 15 patients underwent VAV-ECMO, aged 53 (40, 65) years, and 11 of whom were male. Within the group, VV-ECMO was initially used in 12 patients due to respiratory failure, but then VAV-ECMO was used due to cardiogenic shock (7/12) and septic shock (4/12), while VAV-ECMO was established in two patients due to lung transplantation. One patient was diagnosed with pneumonia complicated by septic shock, which was initially determined to be VA-ECMO, but then switched to VAV-ECMO because it was difficult to maintain oxygenation. The time from the establishment of VV or VA-ECMO to the switch to VAV-ECMO was 3 (1, 5) days and the VAV-ECMO support time was 5 (2, 8) days. ECMO-related complications were bleeding, mostly in the digestive tract (n=4) and airway hemorrhage (n=4), without intracranial hemorrhage, and poor arterial perfusion of the lower limbs (n=2). Among these 15 patients, the overall ICU mortality was 53.3%. The mortality of patients who received VAV-ECMO due to septic shock and cardiogenic shock was 100% (4/4) and 42.8% (3/7), respectively. Two patients who received VAV-ECMO due to lung transplantation all survived. Conclusion: VAV-ECMO may be a safe and effective treatment for carefully selected patients with critical respiratory failure associated with cardiogenic shock or end-stage lung disease lung transplantation transition, however, patients with septic shock may benefit the least.
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Affiliation(s)
- Y Li
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - X Y Li
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - X Tang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - R Wang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - C Y Zhang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - S Q Wang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - X Yuan
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - L Wang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - Z H Tong
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
| | - B Sun
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Engineering Research Centre for Diagnosis and Treatment of Respiratory and Critical Care Medicine (Beijing Chaoyang Hospital), Beijing 100020,China
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Wang X, Tang X, Liu T, Li Y, Ling F, Jing C, Yao L, Zhou X, Xiang G. Constructing C-rich polymeric carbon nitride homojunctions for enhanced storage capacity of photo-rechargeable batteries. Electrochim Acta 2023. [DOI: 10.1016/j.electacta.2023.142281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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Bao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, Wang S, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xie Z, Xu D, Ye J, Yue R, Zhang C, Zhang H, Zhang L, Zhang W, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhu D, Zou W, Pei G, Liu GH. Biomarkers of aging. Sci China Life Sci 2023; 66:893-1066. [PMID: 37076725 PMCID: PMC10115486 DOI: 10.1007/s11427-023-2305-0] [Citation(s) in RCA: 42] [Impact Index Per Article: 42.0] [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: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 04/21/2023]
Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
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Affiliation(s)
- Hainan Bao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Jiani Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Min Chen
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Chen
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, 400042, China
| | - Yanhao Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yutian Chen
- The Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhiyang Chen
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingjie Ding
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junlin Feng
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Guo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Mengmeng Guo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Chuting He
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Yujuan Jia
- Department of Neurology, First Affiliated Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - Haiping Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Ying Jing
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Qinhao Liang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China
| | - Rui Liang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China
| | - Feng Liu
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Zuojun Liu
- School of Life Sciences, Hainan University, Haikou, 570228, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jianwei Lv
- School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Jingyi Ma
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kehang Mao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China
| | - Jiawei Nie
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinpei Sun
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianfang Wang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Wang
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xuan Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuhan Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Rimo Wu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Kai Xia
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Fu-Hui Xiao
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Lingyan Xu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yingying Xu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Haoteng Yan
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Liang Yang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China
| | - Ruici Yang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yuanxin Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Le Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weiwei Zhang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China
| | - Wenwan Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xing Zhang
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhuo Zhang
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Min Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Qingchen Zhu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengmao Zhu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China.
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, 510000, China.
| | - Hou-Zao Chen
- Department of Biochemistryand Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
| | - Jun Chen
- Peking University Research Center on Aging, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Molecular Biology, Department of Integration of Chinese and Western Medicine, School of Basic Medical Science, Peking University, Beijing, 100191, China.
| | - Weimin Ci
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Feng Gao
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Jian Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China.
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, 518060, China.
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South Unversity, Changsha, 410011, China.
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China.
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, 300000, China.
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300350, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China.
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 300070, China.
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China.
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China.
| | - Shuai Ma
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yaojin Peng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jie Ren
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ruibao Ren
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, 571199, China.
| | - Moshi Song
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Zhou Songyang
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China.
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, WA, 98195, USA.
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
| | - Shusen Wang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China.
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Xiaoning Wang
- Institute of Geriatrics, The second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China.
| | - Catherine C L Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
| | - Andy Peng Xiang
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China.
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China.
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, 100101, China.
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Rui Yue
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Cuntai Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China.
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
| | - Zhuohua Zhang
- Key Laboratory of Molecular Precision Medicine of Hunan Province and Center for Medical Genetics, Institute of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Tongbiao Zhao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Yuzheng Zhao
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Gang Pei
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Biomedicine, The Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai, 200070, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
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Li G, Tang X, Li J, Dong M. Error identification and compensation regarding the kinematic parameter of the MD-PEF for tibial deformity correction. Comput Biol Med 2023; 158:106813. [PMID: 36966553 DOI: 10.1016/j.compbiomed.2023.106813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 02/18/2023] [Accepted: 03/20/2023] [Indexed: 03/31/2023]
Abstract
The correction accuracy of an external fixator is crucial to the treatment outcome of deformity correction and patient safety. In this study, the mapping model is established between the pose error and kinematic parameter error of the motor-driven parallel external fixator (MD-PEF). Subsequently, the kinematic parameter identification and error compensation algorithm of the external fixator is established based on the least squares method. An experimental platform based on the developed MD-PEF and Vicon motion capture system is constructed for kinematic calibration experiments. Experimental results show that the correction accuracy of the MD-PEF after calibration is as follows: translation accuracy dE1 = 0.36 mm, axial translation accuracy dE2 = 0.25 mm, angulation accuracy dE3 = 0.27°, and rotation accuracy dE4 = 0.2°. The accuracy detection experiment verifies the kinematic calibration results, which further validates the feasibility and reliability of the error identification and compensation algorithm constructed by the least squares method. The calibration approach used in this work also provides an effective way to improve the accuracy of other medical robots.
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Pan C, Yin R, Tang X, Wang T, Hu C. Prognostic Significance of Myocardial Blood Flow Quantification for Major Adverse Cardiac Events: A Systematic Review and Meta-analysis. Cardiol Rev 2023; 31:162-167. [PMID: 37036193 PMCID: PMC10072207 DOI: 10.1097/crd.0000000000000446] [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] [Indexed: 04/11/2023]
Abstract
Chronic coronary syndromes involve reduced myocardial blood flow (MBF). MBF is a reliable predictor of outcomes, independent of the presence of significant stenosis. Whether MBF can predict major adverse cardiac events (MACE) during long-term follow-up is unknown. PubMed, Embase, Cochrane, CNKI, and WANFANG were searched for papers published up to January 2021. The exposure was the incremental unit of stress MBF (mL/g/min) or low MBF versus high MBF. The imaging examinations included positron emission tomography/computed tomography and coronary magnetic resonance. The study outcome was the occurrence of MACE during follow-up, summarized as time-to-event hazard ratios (HRs) and 95% confidence intervals (CIs). Six studies (300 MACEs in 2326 patients) were included. Four studies presented stress MBF data by unit increments. The pooled HR showed that an increase in stress MBF by 1 mL/g/min is a protective factor for MACE (HR = 0.32; 95% CI, 0.18-0.57; I2 = 62.9%, Pheterogeneity = 0.044). Two studies reported stress MBF as low/high. The results showed that a high-stress MBF was protective against MACEs (HR = 0.43; 95% CI, 0.24-0.78; I2 = 39.5%, Pheterogeneity = 0.199). Quantification of stress MBF using positron emission tomography/computed tomography and coronary magnetic resonance might have incremental predictive value for future MACEs in a population at intermediate to high cardiovascular risk. The results will require validation in large prospective randomized controlled trials.
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Affiliation(s)
- Changjie Pan
- From the Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Department of Radiology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Ruohan Yin
- Department of Radiology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Xiaoqiang Tang
- Department of Radiology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Tao Wang
- Department of Radiology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Chunhong Hu
- From the Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
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31
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Kong Q, Xia S, Pan X, Ye K, Li Z, Li H, Tang X, Sahni N, Yi SS, Liu X, Wu H, Elowitz MB, Lieberman J, Zhang Z. Alternative splicing of GSDMB modulates killer lymphocyte-triggered pyroptosis. Sci Immunol 2023; 8:eadg3196. [PMID: 37115914 DOI: 10.1126/sciimmunol.adg3196] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
Granzyme A from killer lymphocytes cleaves gasdermin B (GSDMB) and triggers pyroptosis in targeted human tumor cells, eliciting antitumor immunity. However, GSDMB has a controversial role in pyroptosis and has been linked to both anti- and protumor functions. Here, we found that GSDMB splicing variants are functionally distinct. Cleaved N-terminal (NT) fragments of GSDMB isoforms 3 and 4 caused pyroptosis, but isoforms 1, 2, and 5 did not. The nonfunctional isoforms have a deleted or modified exon 6 and therefore lack a stable belt motif. The belt likely contributes to the insertion of oligomeric GSDMB-NTs into the membrane. Consistently, noncytotoxic GSDMB-NTs blocked pyroptosis caused by cytotoxic GSDMB-NTs in a dominant-negative manner. Upon natural killer (NK) cell attack, GSDMB3-expressing cells died by pyroptosis, whereas GSDMB4-expressing cells died by mixed pyroptosis and apoptosis, and GSDMB1/2-expressing cells died only by apoptosis. GSDMB4 partially resisted NK cell-triggered cleavage, suggesting that only GSDMB3 is fully functional. GSDMB1-3 were the most abundant isoforms in the tested tumor cell lines and were similarly induced by interferon-γ and the chemotherapy drug methotrexate. Expression of cytotoxic GSDMB3/4 isoforms, but not GSDMB1/2 isoforms that are frequently up-regulated in tumors, was associated with better outcomes in bladder and cervical cancers, suggesting that GSDMB3/4-mediated pyroptosis was protective in those tumors. Our study indicates that tumors may block and evade killer cell-triggered pyroptosis by generating noncytotoxic GSDMB isoforms. Therefore, therapeutics that favor the production of cytotoxic GSDMB isoforms by alternative splicing may improve antitumor immunity.
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Affiliation(s)
- Qing Kong
- Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
| | - Shiyu Xia
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
- Howard Hughes Medical Institute, California Institute of Technology, Pasadena, CA 91125, USA
| | - Xingxin Pan
- Livestrong Cancer Institutes, Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX 78712, USA
| | - Kaixiong Ye
- Department of Genetics, Franklin College of Arts and Sciences, University of Georgia, Athens, GA 30602, USA
- Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA
| | - Zhouyihan Li
- Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
| | - Haoyan Li
- Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
| | - Xiaoqiang Tang
- Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
| | - Nidhi Sahni
- Department of Epigenetics and Molecular Carcinogenesis and Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Quantitative and Computational Biosciences Program, Baylor College of Medicine, Houston, TX 77030, USA
| | - S Stephen Yi
- Livestrong Cancer Institutes, Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX 78712, USA
- Interdisciplinary Life Sciences Graduate Programs (ILSGP) and Department of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA
- Oden Institute for Computational Engineering and Sciences (ICES), University of Texas at Austin, Austin, TX 78712, USA
| | - Xing Liu
- Center for Microbes, Development and Health, Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Hao Wu
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Michael B Elowitz
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
- Howard Hughes Medical Institute, California Institute of Technology, Pasadena, CA 91125, USA
| | - Judy Lieberman
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Zhibin Zhang
- Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
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32
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Zhang Y, Tang X, Wang Z, Wang L, Chen Z, Qian JY, Tian Z, Zhang SY. The chemokine CCL17 is a novel therapeutic target for cardiovascular aging. Signal Transduct Target Ther 2023; 8:157. [PMID: 37072419 PMCID: PMC10113193 DOI: 10.1038/s41392-023-01363-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 01/31/2023] [Accepted: 02/10/2023] [Indexed: 04/20/2023] Open
Affiliation(s)
- Yang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, 200032, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Zeyuan Wang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Lun Wang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zhangwei Chen
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, 200032, China
| | - Ju-Ying Qian
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, 200032, China
| | - Zhuang Tian
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
| | - Shu-Yang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
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Hu J, Tang X, Guo R, Wang Y, Shen H, Wang H, Yao Y, Cai X, Yu Z, Dong G, Liang F, Cao J, Zeng L, Su M, Kong W, Liu L, Huang W, Cai C, Xie Y, Mao W. 37P Pralsetinib in acquired RET fusion-positive advanced non-small cell lung cancer patients after resistance to EGFR/ALK-TKI: A China multi-center, real-world data (RWD) analysis. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00291-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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34
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Wang JM, Liu QP, Gong C, Zhang ML, Gao P, Tang X, Hu YH. [Application of discrete event simulation model in analysis on cost-effectiveness of epidemiology screening]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:463-469. [PMID: 36942343 DOI: 10.3760/cma.j.cn112338-20220725-00659] [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: 03/23/2023]
Abstract
Discrete event simulation (DES) model is based on individual data, by which discrete events over time are simulated to reflect disease progression. The effects of individual characteristics on disease progression could be considered in the DES model. Moreover, unlike state-transition models, DES model without setting of fixed cycle can contribute to more accurate estimation of event time, especially in the evaluation of the long-term effectiveness of screening strategies for complex diseases in which time dimension needs to be considered. This article introduces the general principles, construction steps, analytic methods and other relevant issues of the DES model. Based on a research case of estimating the cost-effectiveness of screening for abdominal aortic aneurysms in women aged 65 years and above in the United Kingdom, key points in applications of the DES model in analysis on effectiveness of complex disease screening are discussed in detail, including model construction and analysis and interpretation of the results. DES model can predict occurring time of discrete events accurately by establishing the distribution function of their occurring time and is increasingly used to evaluate the screening strategies for complex diseases in which time dimension needs to be considered. In the construction of DES model, it is necessary to pay close attention to the clear presentation of model structure and simulation process and follow the relevant reporting specification to conduct cost-effectiveness analysis to ensure the transparency and repeatability of the research.
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Affiliation(s)
- J M Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Q P Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Gong
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - M L Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - P Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - X Tang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y H Hu
- Medical Informatics Center, Peking University, Beijing 100191, China
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Tang X, Tian G, Huang Y, Ran J, Wen Z, Xu J, Song S, Liu B, Han R, Shi F, Zhang X, Sun H, Gong Y, Li Y, Zhang Z, Chen Z, Luo P. Activation cross sections for reactions induced by 14 MeV neutrons on natural titanium. Appl Radiat Isot 2023; 193:110636. [PMID: 36584411 DOI: 10.1016/j.apradiso.2022.110636] [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: 08/16/2022] [Revised: 11/22/2022] [Accepted: 12/23/2022] [Indexed: 12/28/2022]
Abstract
Cross sections for the neutrons around 14 MeV interaction with natural titanium were precisely measured by neutron activation and off-line measurement technique. The fast neutrons were produced by 3H(d,n)4He reaction and the neutron energy was obtained by using the cross section ratio method of 90Zr(n,2n)89Zr to 93Nb(n,2n)92mNb reactions. Experimental cross sections have been acquired for natTi(n,x)46Sc, natTi(n,x)47Sc, 50Ti(n,x)47Ca and 48Ti(n,x)48Sc reactions. The measured cross section data are compared with the experimental data available in the previous literature and evaluated nuclear data from the ENDF/B-VIII.0, JEFF-3.3, JENDL-5, BROND-3.1, CENDL-3.2 and FENDL-3.2b libraries. Furthermore, excitation functions for these reactions were calculated by using the theoretical model based on Talys-1.96 code with default and adjusted parameters. Within experimental error, evaluated nuclear data are mostly consistent with experimental data. The excitation function with adjusted parameters can roughly reproduce the experimental data.
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Affiliation(s)
- X Tang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - G Tian
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China
| | - Y Huang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - J Ran
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Z Wen
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - J Xu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - S Song
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - B Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China.
| | - R Han
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China
| | - F Shi
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China
| | - X Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China
| | - H Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China
| | - Y Gong
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Y Li
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Z Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Z Chen
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China
| | - P Luo
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China; Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China.
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Wei X, Tang X, You D, Ding E, Pan C. A Clinical-Radiomics Based Nomogram to Predict Progressive Intraparenchymal Hemorrhage in Mild to Moderate Traumatic Injury Patients. Eur J Radiol 2023; 163:110785. [PMID: 37023629 DOI: 10.1016/j.ejrad.2023.110785] [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: 11/13/2022] [Revised: 02/17/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023]
Abstract
PURPOSE To develop a non-contrast computed tomography(NCCT)based radiomics model for predicting intraparenchymal hemorrhage progression in patients with mild to moderate traumatic brain injury(TBI). METHODS We retrospectively analyzed 166 mild to moderate TBI patients with intraparenchymal hemorrhage from January 2018 to December 2021. The enrolled patients were divided into training cohort and test cohort with a ratio of 6:4. Uni- and multivariable logistic regression analyses were implemented to screen clinical-radiological factors and to establish a clinical-radiological model. Model performance was evaluated by the area under the receiver operating characteristic curve (AUC), the calibration curve, the decision curve analysis, sensitivity, and specificity. RESULTS Eleven radiomics features, presence with SDH, and D-dimer > 5 mg/l were selected to construct the combined clinical-radiomic model for the prediction of TICH in mild to moderate TBI patients. The AUC of the combined model was 0.81(95% confidence interval (CI), 0.72 to 0.90) in the training cohort and 0.88 (95% CI 0.79 to 0.96) in the test cohort, which were superior to the clinical model alone (AUCtraining = 0.72, AUCtest = 0.74). The calibration curve demonstrated that the radiomics nomogram had a good agreement between prediction and observation. Decision curve analysis confirmed clinically useful. CONCLUSIONS The combined clinical-radiomic model that incorporates the radiomics score and clinical risk factors can serve as a reliable and powerful tool for Predicting intraparenchymal hemorrhage progression for patients with mild to moderate TBI.
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Affiliation(s)
- Xiaoyu Wei
- Department of Radiology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu 213164, China
| | - Xiaoqiang Tang
- Department of Radiology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu 213164, China
| | - Deshu You
- Department of Radiology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu 213164, China
| | - E Ding
- Department of Radiology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu 213164, China
| | - Changjie Pan
- Department of Radiology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu 213164, China.
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Sun X, Zhang Y, Chen XF, Tang X. Acylations in cardiovascular biology and diseases, what's beyond acetylation. EBioMedicine 2022; 87:104418. [PMID: 36584593 PMCID: PMC9808004 DOI: 10.1016/j.ebiom.2022.104418] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 12/01/2022] [Accepted: 12/01/2022] [Indexed: 12/29/2022] Open
Abstract
Metabolism regulates cardiovascular biology through multiple mechanisms, including epigenetic modifications. Over the past two decades, experimental and preclinical studies have highlighted the critical roles of histone modifications in cardiovascular development, homeostasis, and diseases. The widely studied histone acetylation is critical in cardiovascular biology and diseases, and inhibitors of histone deacetylases show therapeutic values. In addition to lysine acetylation, a series of novel non-acetyl lysine acylations have recently been recognized. These non-acetyl lysine acylations have been demonstrated to have physiological and pathological functions, and recent studies have analyzed the roles of these non-acetyl lysine acylations in cardiovascular biology. Herein, we review the current advances in the understanding of non-acetyl lysine acylations in cardiovascular biology and discuss open questions and translational perspectives. These new pieces of evidence provide a more extensive insight into the epigenetic mechanisms underlying cardiovascular biology and help assess the feasibility of targeting acylations to treat cardiovascular diseases.
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Affiliation(s)
- Xin Sun
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, State Key Laboratory of Biotherapy, West China Second University Hospital, West China Hospital, Sichuan University, Chengdu, 610041, China; State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China
| | - Yang Zhang
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, 200032, China
| | - Xiao-Feng Chen
- Department of Biochemistry and Molecular Biology, Basic Medical College, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, State Key Laboratory of Biotherapy, West China Second University Hospital, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Tang X, Zhang Y, Wang T, Ma Y, Shi H, Yin R, Zou P, Cao J, Pan C. Image quality and diagnostic accuracy of different dosages of iodixanol in computed tomography angiography and perfusion of overweight patients with coronary artery stenosis: A feasibility study. Med Eng Phys 2022; 110:103818. [PMID: 35618562 DOI: 10.1016/j.medengphy.2022.103818] [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: 02/23/2022] [Revised: 04/11/2022] [Accepted: 05/09/2022] [Indexed: 01/18/2023]
Abstract
OBJECTIVES Iodixanol contrast media with different doses using computed tomography angiography (CTA) and perfusion (CTP) to diagnose coronary artery disease (CAD) in overweight patients lacks assessment. Our study compared iodixanol 320 mg I/ml and 270 mg I/ml on image quality and accuracy of CTA combined CTP (CTA-CTP) to diagnose CAD. METHODS Overweight patients with suspected of CAD were randomized into iodixanol 270 group (received iodixanol 270 mg I/ml) and iodixanol 320 group (received iodixanol 320 mg I/ml). Based on these characteristics data, receiver operating characteristic (ROC) curve and corresponding area under the curve (AUC) were plotted to assess the sensitivity and specificity of the two administrations. RESULTS The subjective definition score, signal to noise ratio, and CT value of aorta in iodixanol 320 group were higher than iodixanol 270 group. In iodixanol 270 group: the image exhibited a normal state of both vessels and myocardial perfusion; and the AUC, specificity, and sensitivity were 0.376, 66.67, and 80.46, respectively. In iodixanol 320 group: the image exhibited a diameter stenosis in right coronary artery and myocardial infarction of inferior wall and proximal inferior wall septum, as well as myocardial perfusion defects; and the AUC, specificity, and sensitivity in iodixanol 320 group were 0.824, 75.00, and 89.87, respectively. CONCLUSION Accuracy and image quality of iodixanol 320 mg I/ml in the diagnosis of CAD with CTA-CTP was higher than using iodixanol 270 mg I/ml.
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Affiliation(s)
- Xiaoqiang Tang
- Department of Radiology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou 213164, China
| | - Yong Zhang
- Department of Radiology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou 213164, China
| | - Tao Wang
- Department of Radiology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou 213164, China
| | - Yi Ma
- Department of Radiology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou 213164, China
| | - Haifeng Shi
- Department of Radiology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou 213164, China
| | - Ruohan Yin
- Department of Radiology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou 213164, China
| | - Ping Zou
- Department of Radiology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou 213164, China
| | - Jian Cao
- Department of Radiology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou 213164, China
| | - Changjie Pan
- Department of Radiology, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou 213164, China.
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Bin X, Zhu C, Tang Y, Li R, Ding Q, Xia W, Tang Y, Tang X, Yao D, Tang A. Nomogram Based on Clinical and Radiomics Data for Predicting Radiation-induced Temporal Lobe Injury in Patients with Non-metastatic Stage T4 Nasopharyngeal Carcinoma. Clin Oncol (R Coll Radiol) 2022; 34:e482-e492. [PMID: 36008245 DOI: 10.1016/j.clon.2022.07.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/19/2022] [Accepted: 07/21/2022] [Indexed: 01/31/2023]
Abstract
AIMS To use pre-treatment magnetic resonance imaging-based radiomics data with clinical data to predict radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients with stage T4/N0-3/M0 within 5 years after radiotherapy. MATERIALS AND METHODS This study retrospectively examined 98 patients (198 temporal lobes) with stage T4/N0-3/M0 NPC. Participants were enrolled into a training cohort or a validation cohort in a ratio of 7:3. Radiomics features were extracted from pre-treatment magnetic resonance imaging that were T1-and T2-weighted. Spearman rank correlation, the t-test and the least absolute shrinkage and selection operator (LASSO) algorithm were used to select significant radiomics features; machine-learning models were used to generate radiomics signatures (Rad-Scores). Rad-Scores and clinical factors were integrated into a nomogram for prediction of RTLI. Nomogram discrimination was evaluated using receiver operating characteristic analysis and clinical benefits were evaluated using decision curve analysis. RESULTS Participants were enrolled into a training cohort (n = 139) or a validation cohort (n = 59). In total, 3568 radiomics features were initially extracted from T1-and T2-weighted images. Age, Dmax, D1cc and 16 stable radiomics features (six from T1-weighted and 10 from T2-weighted images) were identified as independent predictive factors. A greater Rad-Score was associated with a greater risk of RTLI. The nomogram showed good discrimination, with a C-index of 0.85 (95% confidence interval 0.79-0.92) in the training cohort and 0.82 (95% confidence interval 0.71-0.92) in the validation cohort. CONCLUSION We developed models for the prediction of RTLI in patients with stage T4/N0-3/M0 NPC using pre-treatment radiomics data and clinical data. Nomograms from these pre-treatment data improved the prediction of RTLI. These results may allow the selection of patients for earlier clinical interventions.
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Affiliation(s)
- X Bin
- Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - C Zhu
- Department of Radiation Oncology, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Y Tang
- Department of Neurology, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - R Li
- Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University Hangzhou, Zhejiang Province, China; Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Q Ding
- Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, China
| | - W Xia
- Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - Y Tang
- Department of Radiology, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - X Tang
- Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - D Yao
- Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - A Tang
- Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China.
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Hara N, Tang X, Islam H. PD-L1 Expression in Cytological and Histological Lung Cancer Specimens. Am J Clin Pathol 2022. [DOI: 10.1093/ajcp/aqac126.318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Abstract
Introduction/Objective
Several studies have explored the feasibility of measuring PD-L1 in cell block cytology and indicated cytological materials could be a reliable source for PD-L1 evaluation in non-small cell lung carcinoma patients. A few studies have investigated the compatibility and performance of PD-L1 clone SP263 testing between cytology and histology specimens. The study was pursued to evaluate PD-L1 expression in cell blocks from EBUS- TBNA compared to that in biopsied tissues from patients with lung carcinoma in our institution to evaluate a feasibility of PD-L1 clone SP263 in cell blocks and histology samples.
Methods/Case Report
A total of 57 specimens cytologically diagnosed lung carcinoma using endobronchial ultrasound guided transbronchial needle aspiraton (EBUS-TBNA) from Jan 1st, 2020, to Dec 31st, 2021 were screened for enrollment. Among them, 24 patients diagnosed with lung carcinoma using EBUS-TBNA and matched transbronchial biopsy (TBB) specimens were reviewed for study. After careful selection, 13 paired formalin-fixed tissues from lung carcinoma patients, including cell blocks and matched histology samples, were included. PD-L1 expression was assessed using the SP263 assay, and the tumor proportion score (TPS) was evaluated. PD-L1 expression was finally divided into three categories according to the TPS: < 1% (negative), 1–49% (low expression) and ≥ 50% (high expression).
Results (if a Case Study enter NA)
Of the 13 matched pairs, 12 (92.3%) showed concordant PD-L1 expression. On cytology, 3 cases were positive (2 high expressors and 1 low- expressors) of which 2 were concordant and 1 discordant with matched histology specimens. Ten cytology samples were negative for PD-L1 expression, and they were concordant to histology samples. The correlation coefficient for TPS was 0.75 considered as having good value. Conclusion: With an overall concordance rate of 92.3% between cytology and histology specimen, this study demonstrates the feasibility of PD-L1 IHC with SP263 clone on limited quality and quantity of cytology samples from lung carcinoma in our institute. It is required for further evaluation with additional specimens to conclude that the usefulness of cytology cell blocks for PD-L1 expression analysis.
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Affiliation(s)
- N Hara
- Pathology, Westchester Medical Center , Valhalla, New York , United States
| | - X Tang
- Pathology, Westchester Medical Center , Valhalla, New York , United States
| | - H Islam
- Pathology, Westchester Medical Center , Valhalla, New York , United States
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Ji WK, Tang X, Chen HJ, Yang Y, Ji M, Wang JF, Zhu ES, Zhang LQ, Wang JP, Liu XQ. [Safety and efficacy of a new domestic distal perforated stent graft in the treatment of Stanford type B aortic dissection]. Zhonghua Yi Xue Za Zhi 2022; 102:3207-3212. [PMID: 36319175 DOI: 10.3760/cma.j.cn112137-20220516-01078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To evaluate the safety and efficacy of a new domestic distal perforated stent graft (Talos stent) in the treatment of Stanford type B aortic dissection (TBAD). Methods: Twenty-five patients with TBAD treated with Talos stent in Yan'an Hospital Affiliated to Kunming Medical University from February 2018 to December 2019 were selected as the research subjects. Intraoperative angiography was performed to determine the number of branch arteries that remained after stent release. On postoperative day 5 (POD5), the pain intensity of the patients was evaluated by visual analog scale (VAS). The computed tomography angiography (CTA) of the patients before operation, 6 months and 12 months after operation were compared including aortic diameter, true lumen diameter, and false lumen diameter at the level of tracheal bifurcation. Follow-up was performed 1 month, 6 months, 12 months, and 24 months after surgery, and the occurrence of stent-related adverse events, reoperation and survival rate were recorded. Results: The enrolled patients included 19 males and 6 females, aged (52.6±11.1) years. Intraoperative angiography showed that 4 (1, 7) branch arteries were preserved, and the VAS score was 1 (0, 1) on POD5. The aortic diameters at the level of the tracheal bifurcation were (34.9±1.1) mm, (34.6±0.9) mm and (34.8±1.0) mm before surgery, 6 months and 12 months after surgery, and there was no significant difference (P=0.926); the diameters of the main true lumen at the level of the tracheal bifurcation were (13.3±1.6) mm, (21.8±1.0) mm and (22.3±1.1) mm before surgery, 6 months and 12 months postoperatively, while the diameters of the main false lumen at the level of the tracheal bifurcation were (20.8±2.2) mm, (4.5±1.5) mm, and (4.6±1.7) mm, respectively. Compared with before surgery, the diameter of true lumen increased significantly 6 months and 12 months after surgery (both P<0.001), while the diameter of false lumen decreased (both P<0.001). No stent-related adverse events occurred within 30 days after surgery, no secondary operations occurred within 12 months after surgery, no type Ⅰ and type Ⅲ endoleaks, no deaths or cases of paraplegia were reported, and the stent structure and position remained good. There were no deaths or paraplegia cases 24 months postoperatively, and no stent-related adverse events occurred. Conclusion: Using Talos stent in the treatment of TBAD can effectively help remodel the aorta, while preserve the intercostal artery and spinal artery, with good clinical effect and safety.
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Affiliation(s)
- W K Ji
- Department of Vascular Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming 650051, China
| | - X Tang
- Department of Vascular Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming 650051, China
| | - H J Chen
- Department of Vascular Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming 650051, China
| | - Y Yang
- Department of Vascular Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming 650051, China
| | - M Ji
- Department of Vascular Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming 650051, China
| | - J F Wang
- Department of Vascular Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming 650051, China
| | - E S Zhu
- Department of Vascular Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming 650051, China
| | - L Q Zhang
- Department of Ultrasound, Yan'an Hospital Affiliated to Kunming Medical University, Kunming 650051, China
| | - J P Wang
- Department of Interventional Medicine, the Second Affiliated Hospital of Kunming Medical University, Kunming 650101, China
| | - X Q Liu
- Department of Vascular Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming 650051, China
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Zhao ZL, Tang X, He CW, Liu YL, Li XY, Wang R, Li Y, Cao SY, Sun B, Tong ZH. [Clinical characteristics and outcomes of acute respiratory distress syndrome caused by severe Chlamydia psittaci pneumonia]. Zhonghua Jie He He Hu Xi Za Zhi 2022; 45:1015-1021. [PMID: 36207958 DOI: 10.3760/cma.j.cn112147-20220221-00139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To investigate the clinical characteristics and outcomes of acute respiratory distress syndrome (ARDS) caused by Chlamydia psittaci pneumonia. Methods: From June 2016 to January 2021, 10 cases were diagnosed as severe Chlamydia psittaci pneumonia induced ARDS in Intensive Care Unit of Respiratory and Critical Care Medicine Department (RICU) of Beijing Chao-Yang Hospital Affiliated to Capital Medical University. We collected the clinical data including clinical features, laboratory tests, imaging and outcomes of the patients. Results: The pathogenic diagnosis was confirmed by metagenomic Next-generation Sequencing (mNGS) in these 10 patients, with a median age of 59 (46, 67) years. In addition to high fever, cough and dyspnea, the patients also had multiple organ involvement. Six patients had elevated peripheral leukocyte count, 10 cases had increased type B natriuretic peptide, 7 cases had increased aspartate aminotransferase/alanine aminotransferase, 9 cases had hyponatremia and 3 cases had elevated creatinine. The imaging findings were bilateral consolidation with air bronchogram and infiltrates, and pleural effusion were found in 5 cases. All cases were combined with respiratory failure. Six patients received invasive mechanical ventilation. Nine patients received moxifloxacin and one patient was administrated with Azithromycin. All the patients were improved and discharged after the treatment, and the mean duration of RICU stay was 13.5 (11, 16.7) days. One month follow-up of nine patients showed significant improvement in lung lesions. Conclusions: Severe Chlamydia psittiaci pneumonia may be complicated with respiratory failure and/or multiple organ involvement. For severe pneumonia with an exposure history of sick birds, the possibility of Chlamydia psittaci infection should be considered. mNGS may help etiological diagnosis. All patients in this study had a good prognosis after targeted treatment.
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Affiliation(s)
- Z L Zhao
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - X Tang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - C W He
- Department of Respiratory and Critical Care Medicine, Beijing Prevention and Treatment Hospital of Occupational Disease for Chemical Industry, Beijing 100093, China
| | - Y L Liu
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - X Y Li
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - R Wang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Y Li
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - S Y Cao
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - B Sun
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Z H Tong
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
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Yue P, Zhang Y, Liu L, Zhou K, Xia S, Peng M, Yan H, Tang X, Chen Z, Zhang D, Guo J, Pu WT, Guo Y, Hua Y, Li Y. Yap1 modulates cardiomyocyte hypertrophy via impaired mitochondrial biogenesis in response to chronic mechanical stress overload. Am J Cancer Res 2022; 12:7009-7031. [PMID: 36276651 PMCID: PMC9576622 DOI: 10.7150/thno.74563] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 09/23/2022] [Indexed: 12/04/2022] Open
Abstract
Rationale: Chronic pressure overload is a major trigger of cardiac pathological hypertrophy that eventually leads to heart disease and heart failure. Understanding the mechanisms governing hypertrophy is the key to develop therapeutic strategies for heart diseases. Methods: We built chronic pressure overload mice model by abdominal aortic constriction (AAC) to explore the features of Yes-associated protein 1 (YAP1). Then AAV-cTNT-Cre was applied to Yap1F/F mice to induce mosaic depletion of YAP1. Myh6CreERT2; H11CAG-LSL-YAP1 mice were involved to establish YAP1 overexpression model by Tomaxifen injection. ATAC-seq and bioChIP-seq were used to explore the potential targets of YAP1, which were verified by a series of luciferase reporter assays. Dnm1l and Mfn1 were re-expressed in AAC mice by AAV-cTNT-Dnm1l and AAV-cTNT-Mfn1. Finally, Verteprofin was used to inhibit YAP1 to rescue cardiac hypertrophy. Results: We found that pathological hypertrophy was accompanied with the activation of YAP1. Cardiomyocyte-specific deletion of Yap1 attenuated AAC-induced hypertrophy. Overexpression of YAP1 was sufficient to phenocopy AAC-induced hypertrophy. YAP1 activation resulted in the perturbation of mitochondria ultrastructure and function, which was associated with the repression of mitochondria dynamics regulators Dnm1l and Mfn1. Mitochondrial-related genes Dnm1l and Mfn1, are significantly targeted by TEAD1/YAP complex. Overexpression of Dnm1l and Mfn1 synergistically rescued YAP1-induced mitochondrial damages and cardiac hypertrophy. Pharmacological repression of YAP1 by verteporfin attenuated mitochondrial damages and pathological hypertrophy in AAC-treated mice. Interestingly, YAP1-induced mitochondria damages also led to increased reactive oxidative species, DNA damages, and the suppression of cardiomyocyte proliferation. Conclusion: Together, these data uncovered YAP signaling as a therapeutic target for pressure overload-induced heart diseases and cautioned the efforts to induce cardiomyocyte regeneration by activating YAP.
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Affiliation(s)
- Peng Yue
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yue Zhang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Lei Liu
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Kaiyu Zhou
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Shutao Xia
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Science, Hubei University, Wuhan, Hubei 430062, China
| | - Mou Peng
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Hualin Yan
- Department of Medical Ultrasound, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Zhan Chen
- Peking University Health Science Center, School of Basic Medical Sciences, The Institute of Cardiovascular Sciences, Key Laboratory of Molecular Cardiovascular Science of Ministry of Education, Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China
| | - Donghui Zhang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Science, Hubei University, Wuhan, Hubei 430062, China
| | - Junling Guo
- BMI Center for Biomass Materials and Nanointerfaces, College of Biomass Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China
| | - William T Pu
- Department of Cardiology, Boston Children's Hospital, Boston, MA 02115 USA.,Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138 USA
| | - Yuxuan Guo
- Peking University Health Science Center, School of Basic Medical Sciences, The Institute of Cardiovascular Sciences, Key Laboratory of Molecular Cardiovascular Science of Ministry of Education, Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China
| | - Yimin Hua
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yifei Li
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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Wu X, Zhan R, Cheng D, Chen L, Wang T, Tang X. [Exosomal FZD10 derived from non-small cell lung cancer cells promotes angiogenesis of human umbilical venous endothelial cells in vitro]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:1351-1358. [PMID: 36210708 DOI: 10.12122/j.issn.1673-4254.2022.09.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate the effect of exosomal FZD10 derived from non-small cell lung cancer (NSCLC) cells on angiogenesis of human umbilical venous endothelial cells (HUVECs) and explore the possible mechanism. METHODS We analyzed the expression of FZD10 in two NSCLC cell lines (95D and H1299 cells), normal human bronchial epithelial cells (BEAS-2B cells) and their exosomes isolated by ultracentrifugation. Cultured HUVECs were treated with the exosomes derived from NSCLC cells or NSCLC cells transfected with FZD10-siRNA, and the changes in tube formation ability of the cells were analyzed using an in vitro angiogenesis assay. ELISA was performed to determine the concentration of VEGFA and Ang-1 in the conditioned media of HUVECs, and RT-qPCR was used to analyze the mRNA levels of VEGFA and Ang-1 in the HUVECs. The effects of exosomal FZD10 on the activation of PI3K, Erk1/2 and YAP/TAZ signaling pathways were evaluated using Western blotting. RESULTS Compared with BEAS-2B cells and their exosomes, 95D and H1299 cells and their exosomes all expressed high levels of FZD10 (P < 0.01). The exosomes derived from 95D and H1299 cells significantly enhanced tube formation ability and increased the expressions of VEGFA and Ang-1 protein and mRNA in HUVECs (P < 0.01), but FZD10 knockdown in 95D and H1299 cells obviously inhibited these effects of the exosomes. Exosomal FZD10 knockdown suppressed the activation of PI3K and Erk1/2 signaling pathways, but had no obvious effect on the activation of YAP/TAZ signaling pathway. CONCLUSION Exosomal FZD10 derived from NSCLC cells promotes HUVEC angiogenesis in vitro, the mechanism of which may involve the activation of PI3K and Erk1/2 signaling pathways.
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Affiliation(s)
- X Wu
- Institute of Biochemistry and Molecular Biology, Guangdong Medical University, Zhanjiang 524023, China.,Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, China
| | - R Zhan
- Institute of Biochemistry and Molecular Biology, Guangdong Medical University, Zhanjiang 524023, China.,Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, China
| | - D Cheng
- Institute of Biochemistry and Molecular Biology, Guangdong Medical University, Zhanjiang 524023, China.,Collaborative Innovation Center for Antitumor Active Substance Research and Development, Guangdong Medical University, Zhanjiang 524023, China
| | - L Chen
- Institute of Biochemistry and Molecular Biology, Guangdong Medical University, Zhanjiang 524023, China.,Collaborative Innovation Center for Antitumor Active Substance Research and Development, Guangdong Medical University, Zhanjiang 524023, China
| | - T Wang
- Institute of Biochemistry and Molecular Biology, Guangdong Medical University, Zhanjiang 524023, China.,Collaborative Innovation Center for Antitumor Active Substance Research and Development, Guangdong Medical University, Zhanjiang 524023, China
| | - X Tang
- Institute of Biochemistry and Molecular Biology, Guangdong Medical University, Zhanjiang 524023, China.,Collaborative Innovation Center for Antitumor Active Substance Research and Development, Guangdong Medical University, Zhanjiang 524023, China
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Hou L, Meng Y, Tang X, Yu C, Jia H, Zhou C, Yang H. EP05.01-033 Stimulation CT-Based Radiomics Predict Radiation Pneumonitis after Chemoradiotherapy in Locally Advanced NSCLC. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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46
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Heeke S, Gay C, Estecio M, Stewart A, Tran H, Zhang B, Tang X, Raso M, Concannon K, De Sousa LG, Lewis W, Kondo K, Nilsson M, Xi Y, Diao L, Wang Q, Zhang J, Wang J, Wistuba I, Byers L, Heymach J. MA01.03 Exploiting DNA Methylation for Classification of SCLC Subtypes from Liquid Biopsies Using a Robust Machine Learning Approach. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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47
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Zhu Y, Luo Y, Guo F, Yang K, Fan H, Liu C, Huang B, Tang X, Guan Y. [Predictive value of serum HBV RNA for therapeutic effect of entecavir in patients with chronic hepatitis B]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:1250-1255. [PMID: 36073226 DOI: 10.12122/j.issn.1673-4254.2022.08.19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate the value of HBV RNA for predicting the therapeutic effect of long-term entecavir (ETV) antiviral therapy in patients with chronic hepatitis B (CHB). METHODS Serum samples were collected from 59 CHB patients treated with ETV for 96 or 108 months. HBV RNA levels, HBV DNA levels, and serological marker (HBeAg) levels were measured at baseline and 3, 6, 9, 12, 36, 72, and 96 (or 108) months during the therapy. RESULTS Although HBV RNA level decreased after 12 and 36 months of ETV antiviral therapy, no significance changes occurred in HBV RNA negative conversion rate (P>0.05). After 72 months of treatment or longer, 33 patients had HBV RNA levels lower than 100 copies/mL, and among them 29 patients had HBV RNA levels lower than the detection limit, and HBV RNA negative conversion rate was statistically significant (P < 0.05). A lower HBV RNA level was associated with a higher HBeAg negative conversion rate (P < 0.05). Age and HBV RNA level were positively correlated with HBeAg negative conversion rate (P < 0.05). CONCLUSION Prolonged ETV antiviral therapy results in better clearance of HBV RNA and a higher negative conversion rate in CHB patients. The length of antiviral therapy and age are positively correlated with the negative conversion rate of HBV RNA, and earlier administration of the antiviral treatment achieves better therapeutic effect. Serum HBV RNA level can be used as an indicator for predicting conversion to negative HBeAg in CHB patients receiving ETV therapy.
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Affiliation(s)
- Y Zhu
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
| | - Y Luo
- Guangzhou Hailite Biotechnoloty Co.Ltd, Guangzhou 510530, China
| | - F Guo
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
| | - K Yang
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
| | - H Fan
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
| | - C Liu
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
| | - B Huang
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
| | - X Tang
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
| | - Y Guan
- Department of Hepatology, Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University, Guangzhou 510060, China
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Chen WY, Liu XF, Shen P, Chen Q, Sun YX, Wu JG, Lu P, Zhang JY, Lin HB, Tang X, Gao P. [Accuracy of the China-PAR and WHO risk models in predicting the ten-year risks of cardiovascular disease in the Chinese population]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1275-1281. [PMID: 35981990 DOI: 10.3760/cma.j.cn112338-20211206-00952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To externally validate and compare the accuracy of the China-PAR (Prediction for ASCVD Risk in China) model and the 2019 World Health Organization (WHO) cardiovascular disease risk charts for East Asian in predicting a 10-year cardiovascular disease in a general Chinese population. Methods: Participants aged 40-79 years without prior cardiovascular disease at baseline in the CHinese Electronic health Records Research in Yinzhou (CHERRY) were analyzed. The Kaplan-Meier analysis estimated the observed cardiovascular events (including non-fatal myocardial infarction, fatal coronary heart disease, and non-fatal or fatal stroke) rate within ten years. The expected risks were calculated using the WHO risk charts for East Asia (including the laboratory-based and non-laboratory-based models) and the China-PAR model. The expected-observed ratios were calculated to evaluate the overestimation or underestimation of the models in the cohort. Model accuracy was assessed by discrimination C-index, calibration χ2 value, and calibration plots. Results: During a median of 7.26 years of follow-up, 13 301 cardiovascular events were identified among 225 811 participants. The C-index for the China-PAR model, WHO laboratory-based model and WHO non-laboratory-based model were 0.741 (0.735-0.747), 0.747 (0.740-0.753), and 0.739 (0.733-0.746) for men, and 0.782 (0.776-0.788), 0.789 (0.783-0.795), and 0.782 (0.776-0.787) for women, respectively. The WHO laboratory-based model and non-laboratory-based model underestimated the 10-year ASCVD risk by around 15% in women and underestimated by 0.8% and 4.4% in men, respectively. The China-PAR model underestimated the risks by 19.5% and 42.3% for men and women. Conclusions: The China-PAR and WHO models all have pretty good discriminations for 10-year cardiovascular risk assessment in this general Chinese population. However, the accuracy should be improved in the highest-risk groups, suggesting further specific models are still needed for those with the highest risk, such as patients with diabetes or older persons.
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Affiliation(s)
- W Y Chen
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - X F Liu
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - P Shen
- Yinzhou District Center for Disease Control and Prevention, Ningbo 315100, China
| | - Q Chen
- Yinzhou District Center for Disease Control and Prevention, Ningbo 315100, China
| | - Y X Sun
- Yinzhou District Center for Disease Control and Prevention, Ningbo 315100, China
| | - J G Wu
- Wonders Information Co.Ltd, Shanghai 201112, China
| | - P Lu
- Wonders Information Co.Ltd, Shanghai 201112, China
| | - J Y Zhang
- Wonders Information Co.Ltd, Shanghai 201112, China
| | - H B Lin
- Yinzhou District Center for Disease Control and Prevention, Ningbo 315100, China
| | - X Tang
- Center of Real-world Evidence Evaluation, Peking University Clinical Research Institute, Beijing 100191, China
| | - Pei Gao
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China
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Woodley D, Polyakov D, Levian B, Hou Y, Tang X, Chen M. 498 Artesunate inhibits RDEB fibrosis by downregulating AKT signaling pathway. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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50
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Zhang Y, Ye Y, Tang X, Wang H, Tanaka T, Tian R, Yang X, Wang L, Xiao Y, Hu X, Jin Y, Pang H, Du T, Liu H, Sun L, Xiao S, Dong R, Ferrucci L, Tian Z, Zhang S. CCL17 acts as a novel therapeutic target in pathological cardiac hypertrophy and heart failure. J Exp Med 2022; 219:213274. [PMID: 35687056 PMCID: PMC9194836 DOI: 10.1084/jem.20200418] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 04/22/2022] [Accepted: 06/01/2022] [Indexed: 11/18/2022] Open
Abstract
Circulating proteomic signatures of age are closely associated with aging and age-related diseases; however, the utility of changes in secreted proteins in identifying therapeutic targets for diseases remains unclear. Serum proteomic profiling of an age-stratified healthy population and further community-based cohort together with heart failure patients study demonstrated that circulating C-C motif chemokine ligand 17 (CCL17) level increased with age and correlated with cardiac dysfunction. Subsequent animal experiments further revealed that Ccll7-KO significantly repressed aging and angiotensin II (Ang II)–induced cardiac hypertrophy and fibrosis, accompanied by the plasticity and differentiation of T cell subsets. Furthermore, the therapeutic administration of an anti-CCL17 neutralizing antibody inhibited Ang II–induced pathological cardiac remodeling. Our findings reveal that chemokine CCL17 is identifiable as a novel therapeutic target in age-related and Ang II–induced pathological cardiac hypertrophy and heart failure.
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Affiliation(s)
- Yang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yicong Ye
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hui Wang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Toshiko Tanaka
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD
| | - Ran Tian
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xufei Yang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lun Wang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Xiao
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaomin Hu
- Department of Central Research Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ye Jin
- Department of Central Research Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haiyu Pang
- Department of Central Research Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tian Du
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Honghong Liu
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lihong Sun
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shuo Xiao
- Thermo Fisher Scientific (China) Co., Ltd, Changning, Shanghai, China
| | - Ruijia Dong
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD
| | - Zhuang Tian
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shuyang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Department of Central Research Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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