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Geng S, Liu SB, He W, Pan X, Sun Y, Xue T, Han S, Lou J, Chang Y, Zheng J, Shi X, Li Y, Song YH. Deletion of TECRL promotes skeletal muscle repair by up-regulating EGR2. Proc Natl Acad Sci U S A 2024; 121:e2317495121. [PMID: 38753506 DOI: 10.1073/pnas.2317495121] [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: 11/12/2023] [Accepted: 04/10/2024] [Indexed: 05/18/2024] Open
Abstract
Myogenic regeneration relies on the proliferation and differentiation of satellite cells. TECRL (trans-2,3-enoyl-CoA reductase like) is an endoplasmic reticulum protein only expressed in cardiac and skeletal muscle. However, its role in myogenesis remains unknown. We show that TECRL expression is increased in response to injury. Satellite cell-specific deletion of TECRL enhances muscle repair by increasing the expression of EGR2 through the activation of the ERK1/2 signaling pathway, which in turn promotes the expression of PAX7. We further show that TECRL deletion led to the upregulation of the histone acetyltransferase general control nonderepressible 5, which enhances the transcription of EGR2 through acetylation. Importantly, we showed that AAV9-mediated TECRL silencing improved muscle repair in mice. These findings shed light on myogenic regeneration and muscle repair.
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Affiliation(s)
- Sha Geng
- Cyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Soochow University, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou 215123, People's Republic of China
- State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, People's Republic of China
- Department of Cardiovascular Surgery of the First Affiliated Hospital & Institute for Cardiovascular Science, Soochow University, Suzhou Jiangsu 215000, People's Republic of China
| | - Song-Bai Liu
- Suzhou Key Laboratory of Medical Biotechnology, Suzhou Vocational Health College, Suzhou 215009, People's Republic of China
| | - Wei He
- Cyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Soochow University, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou 215123, People's Republic of China
- State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, People's Republic of China
- Department of Cardiovascular Surgery of the First Affiliated Hospital & Institute for Cardiovascular Science, Soochow University, Suzhou Jiangsu 215000, People's Republic of China
| | - Xiangbin Pan
- Department of Structural Heart Disease, National Center for Cardiovascular Disease, China and Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - Yi Sun
- Department of Cardiovascular Surgery, Fuwai Yunnan Cardiovascular Hospital, Kunming 650102, People's Republic of China
| | - Ting Xue
- Cyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Soochow University, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou 215123, People's Republic of China
- State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, People's Republic of China
- Department of Cardiovascular Surgery of the First Affiliated Hospital & Institute for Cardiovascular Science, Soochow University, Suzhou Jiangsu 215000, People's Republic of China
| | - Shiyuan Han
- Cyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Soochow University, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou 215123, People's Republic of China
- State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, People's Republic of China
- Department of Cardiovascular Surgery of the First Affiliated Hospital & Institute for Cardiovascular Science, Soochow University, Suzhou Jiangsu 215000, People's Republic of China
| | - Jing Lou
- Cyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Soochow University, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou 215123, People's Republic of China
- State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, People's Republic of China
- Department of Cardiovascular Surgery of the First Affiliated Hospital & Institute for Cardiovascular Science, Soochow University, Suzhou Jiangsu 215000, People's Republic of China
| | - Ying Chang
- Cyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Soochow University, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou 215123, People's Republic of China
- State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, People's Republic of China
- Department of Cardiovascular Surgery of the First Affiliated Hospital & Institute for Cardiovascular Science, Soochow University, Suzhou Jiangsu 215000, People's Republic of China
| | - Jiqing Zheng
- Cyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Soochow University, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou 215123, People's Republic of China
- State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, People's Republic of China
- Department of Cardiovascular Surgery of the First Affiliated Hospital & Institute for Cardiovascular Science, Soochow University, Suzhou Jiangsu 215000, People's Republic of China
| | - Xinghong Shi
- Cyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Soochow University, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou 215123, People's Republic of China
- State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, People's Republic of China
- Department of Cardiovascular Surgery of the First Affiliated Hospital & Institute for Cardiovascular Science, Soochow University, Suzhou Jiangsu 215000, People's Republic of China
| | - Yangxin Li
- Department of Cardiovascular Surgery of the First Affiliated Hospital & Institute for Cardiovascular Science, Soochow University, Suzhou Jiangsu 215000, People's Republic of China
| | - Yao-Hua Song
- Cyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Soochow University, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou 215123, People's Republic of China
- State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou 215123, People's Republic of China
- Department of Cardiovascular Surgery of the First Affiliated Hospital & Institute for Cardiovascular Science, Soochow University, Suzhou Jiangsu 215000, People's Republic of China
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Zhou Z, Jiang W, Liu M, Xue T, Li X, Jiang Y. The relationship between family resilience, post-traumatic growth, and caregiver burden among family caregivers of stroke survivors: a cross-sectional study. PSYCHOL HEALTH MED 2024:1-14. [PMID: 38712657 DOI: 10.1080/13548506.2024.2350701] [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: 09/15/2023] [Accepted: 04/28/2024] [Indexed: 05/08/2024]
Abstract
The study aimed to explore the relationship between family resilience, post-traumatic growth(PTG), and caregiver burden among family caregivers of stroke survivors. Researchers conducted a cross-sectional study to recruit 253 family caregivers of stroke survivors from a public hospital in Shandong Province, China. Caregivers completed sociodemographic information, the Shortened Chinese Version of the Family Resilience Assessment Scale, the Post-traumatic Growth Inventory, and the Zarit Caregiver Burden Interview. We used Amos 24.0 to construct structural equation models and examine the mediating effects of stroke survivors' post-traumatic growth. Family resilience was positively associated with post-traumatic growth, and both family resilience and post-traumatic growth were negatively associated with caregiver burden. Post-traumatic growth partially mediated the relationship between family resilience and caregiver burden, and the mediating effect accounted for 21.27% of the total effect. Targeted interventions should address family resilience and post-traumatic growth as protective factors of caregiver burden.
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Affiliation(s)
- Zhenfeng Zhou
- School of Nursing, Qingdao University, Qingdao, China
| | - Wenbin Jiang
- Department of Nursing, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Meiyan Liu
- School of Nursing, Qingdao University, Qingdao, China
| | - Ting Xue
- Department of Nursing, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiao Li
- School of Nursing, Qingdao University, Qingdao, China
| | - Yongmei Jiang
- Department of Nursing, The Affiliated Hospital of Qingdao University, Qingdao, China
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Wei L, Li Z, Guo S, Ma H, Shi Y, An X, Huang K, Xiong L, Xue T, Zhang Z, Yao K, Luo J, Han H. Human papillomavirus infection affects treatment outcomes and the immune microenvironment in patients with advanced penile squamous cell carcinoma receiving programmed cell death protein 1 inhibitor-based combination therapy. Cancer 2024; 130:1650-1662. [PMID: 38157276 DOI: 10.1002/cncr.35177] [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: 10/16/2023] [Revised: 11/26/2023] [Accepted: 12/04/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Penile squamous cell carcinoma (PSCC) is a human papillomavirus (HPV)-associated malignancy. Immunotherapy is emerging as a potential treatment for advanced PSCC. In this study, the authors analyzed the association of HPV status with outcomes and the immune microenvironment in patients with advanced PSCC undergoing programmed cell death protein 1 (PD1) inhibitor-based combination therapy (PCT). METHODS HPV status was assessed using quantitative polymerase chain reaction in 87 patients with advanced PSCC treated with PCT. Objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), and overall survival (OS) in the HPV+ and HPV- groups were compared. Additionally, bulk RNA sequencing was performed to investigate the potential impact of HPV on the immune microenvironment in advanced PSCC. RESULTS Among patients receiving first-line PCT, ORR (91.7% vs. 64.6%, p = .014) and DCR (100.0% vs. 79.2%, p = .025) in the HPV+ group were higher compared to the HPV- group. Kaplan-Meier curves demonstrated that the HPV+ group exhibited superior PFS (p = .005) and OS (p = .004) for patients in the first-line setting. However, these advantages of HPV infection were not observed in multi-line PCT (p > .050). HPV status remained an independent prognostic factor for predicting better ORR (p = .024), PFS (p = .002), and OS (p = .020) in the multivariate analyses. Landmark analyses showed that the HPV-induced superiority of PFS occurred at an early stage (within 3 months) and OS occurred at a relatively late stage (within 9 months). Bioinformatic analyses identified potential immune-activated genes (GLDC, CYP4F12, etc.) and pathways (RAGE, PI3K/AKT, etc.), antitumor immune cell subtypes, and lower tumor immune dysfunction and exclusion scores in HPV+ tissues. CONCLUSIONS HPV infection may confer treatment efficacy and survival benefits in patients with advanced PSCC receiving first-line PCT because of the possible stimulation of the antitumor immune microenvironment. PLAIN LANGUAGE SUMMARY Human papillomavirus (HPV) infection may induce better objective response rate, progression-free survival (PFS), and overall survival (OS) for advanced penile squamous cell carcinoma (PSCC) patients receiving first-line programmed cell death protein 1 inhibitor-based combination therapy (PCT) instead of multi-line PCT. HPV infection-induced PFS advantage occurs at an early stage (within 3 months) whereas OS superiority occurs at a relatively late stage (within 9 months). Antitumor immune microenvironment could be stimulated by HPV infection in advanced PSCC tissues.
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Affiliation(s)
- Lichao Wei
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Zaishang Li
- Department of Urology, Shenzhen People's Hospital, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
- Department of Urology, The Second Clinical College of Jinan University, Shenzhen, China
| | - Shengjie Guo
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Huali Ma
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Yanxia Shi
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Xin An
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Kangbo Huang
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Longbin Xiong
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Ting Xue
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Zhiling Zhang
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Kai Yao
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Junhang Luo
- Department of Urology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Institute of Precision Medicine, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hui Han
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
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Xue T, Wan X, Zhou T, Zou Q, Ma C, Chen J. Potential value of CT-based comprehensive nomogram in predicting occult lymph node metastasis of esophageal squamous cell paralaryngeal nerves: a two-center study. J Transl Med 2024; 22:399. [PMID: 38689366 PMCID: PMC11059581 DOI: 10.1186/s12967-024-05217-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 04/16/2024] [Indexed: 05/02/2024] Open
Abstract
PURPOSE The aim of this study is to construct a combined model that integrates radiomics, clinical risk factors and machine learning algorithms to predict para-laryngeal lymph node metastasis in esophageal squamous cell carcinoma. METHODS A retrospective study included 361 patients with esophageal squamous cell carcinoma from 2 centers. Radiomics features were extracted from the computed tomography scans. Logistic regression, k nearest neighbor, multilayer perceptron, light Gradient Boosting Machine, support vector machine, random forest algorithms were used to construct radiomics models. The receiver operating characteristic curve and The Hosmer-Lemeshow test were employed to select the better-performing model. Clinical risk factors were identified through univariate logistic regression analysis and multivariate logistic regression analysis and utilized to develop a clinical model. A combined model was then created by merging radiomics and clinical risk factors. The performance of the models was evaluated using ROC curve analysis, and the clinical value of the models was assessed using decision curve analysis. RESULTS A total of 1024 radiomics features were extracted. Among the radiomics models, the KNN model demonstrated the optimal diagnostic capabilities and accuracy, with an area under the curve (AUC) of 0.84 in the training cohort and 0.62 in the internal test cohort. Furthermore, the combined model exhibited an AUC of 0.97 in the training cohort and 0.86 in the internal test cohort. CONCLUSION A clinical-radiomics integrated nomogram can predict occult para-laryngeal lymph node metastasis in esophageal squamous cell carcinoma and provide guidance for personalized treatment.
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Affiliation(s)
- Ting Xue
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China.
| | - Xinyi Wan
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China
| | - Taohu Zhou
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China
| | - Qin Zou
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China
| | - Chao Ma
- Department of Radiology, Frist Affiliated Hospital of Naval Medical University, No. 168 Changhai Road, Shanghai, 200433, China
| | - Jieqiong Chen
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China
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5
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Zhang ZY, Yang LT, Yue Q, Kang KJ, Li YJ, An HP, C G, Chang JP, Chen YH, Cheng JP, Dai WH, Deng Z, Fang CH, Geng XP, Gong H, Guo QJ, Guo T, Guo XY, He L, He SM, Hu JW, Huang HX, Huang TC, Jiang L, Karmakar S, Li HB, Li HY, Li JM, Li J, Li QY, Li RMJ, Li XQ, Li YL, Liang YF, Liao B, Lin FK, Lin ST, Liu JX, Liu SK, Liu YD, Liu Y, Liu YY, Ma H, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, Singh MK, Sun TX, Tang CJ, Tian Y, Wang GF, Wang JZ, Wang L, Wang Q, Wang YF, Wang YX, Wong HT, Wu SY, Wu YC, Xing HY, Xu R, Xu Y, Xue T, Yan YL, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang FS, Zhang L, Zhang ZH, Zhao JZ, Zhao KK, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Experimental Limits on Solar Reflected Dark Matter with a New Approach on Accelerated-Dark-Matter-Electron Analysis in Semiconductors. Phys Rev Lett 2024; 132:171001. [PMID: 38728703 DOI: 10.1103/physrevlett.132.171001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/22/2024] [Accepted: 03/19/2024] [Indexed: 05/12/2024]
Abstract
Recently a dark matter-electron (DM-electron) paradigm has drawn much attention. Models beyond the standard halo model describing DM accelerated by high energy celestial bodies are under intense examination as well. In this Letter, a velocity components analysis (VCA) method dedicated to swift analysis of accelerated DM-electron interactions via semiconductor detectors is proposed and the first HPGe detector-based accelerated DM-electron analysis is realized. Utilizing the method, the first germanium based constraint on sub-GeV solar reflected DM-electron interaction is presented with the 205.4 kg·day dataset from the CDEX-10 experiment. In the heavy mediator scenario, our result excels in the mass range of 5-15 keV/c^{2}, achieving a 3 orders of magnitude improvement comparing with previous semiconductor experiments. In the light mediator scenario, the strongest laboratory constraint for DM lighter than 0.1 MeV/c^{2} is presented. The result proves the feasibility and demonstrates the vast potential of the VCA technique in future accelerated DM-electron analyses with semiconductor detectors.
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Affiliation(s)
- Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H P An
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Greeshma C
- Institute of Physics, Academia Sinica, Taipei 11529
| | | | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C H Fang
- College of Physics, Sichuan University, Chengdu 610065
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - T Guo
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai 519082
| | - L Jiang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - S Karmakar
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H Y Li
- College of Physics, Sichuan University, Chengdu 610065
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Y Li
- College of Physics, Sichuan University, Chengdu 610065
| | - R M J Li
- College of Physics, Sichuan University, Chengdu 610065
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y F Liang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610065
| | - J X Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610065
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - J Z Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y F Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610065
| | - R Xu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610065
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610065
| | - Z H Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Z Zhao
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K K Zhao
- College of Physics, Sichuan University, Chengdu 610065
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610065
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Xue T, Sheng J, Gao H, Gu Y, Dai J, Yang X, Peng H, Gao H, Lu R, Shen Y, Wang L, Wang L, Shi Y, Li Z, Cui D. Eight-month intensive meditation-based intervention improves refractory hallucinations and delusions and quality of life in male inpatients with schizophrenia: a randomized controlled trial. Psychiatry Clin Neurosci 2024; 78:248-258. [PMID: 38318694 DOI: 10.1111/pcn.13641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 12/10/2023] [Accepted: 12/25/2023] [Indexed: 02/07/2024]
Abstract
AIM This study investigated the impact of an 8-month daily-guided intensive meditation-based intervention (iMI) on persistent hallucinations/delusions and health-related quality of life (QoL) in male inpatients with schizophrenia with treatment-refractory hallucinations and delusions (TRHDs). METHODS A randomized controlled trial assigned 64 male inpatients with schizophrenia and TRHD equally to an 8-month iMI plus general rehabilitation program (GRP) or GRP alone. Assessments were conducted at baseline and the third and eighth months using the Positive and Negative Syndrome Scale (PANSS), 36-Item Short Form-36 (SF-36), and Five Facet Mindfulness Questionnaire (FFMQ). Primary outcomes measured PANSS reduction rates for total score, positive symptoms, and hallucinations/delusions items. Secondary outcomes assessed PANSS, SF-36, and FFMQ scores for psychotic symptoms, health-related QoL, and mindfulness skills, respectively. RESULTS In the primary outcome, iMI significantly improved the reduction rates of PANSS total score, positive symptoms, and hallucination/delusion items compared with GRP at both the third and eighth months. Treatment response rates (≥25% reduction) for these measures significantly increased in the iMI group at the eighth month. Concerning secondary outcomes, iMI significantly reduced PANSS total score and hallucination/delusion items, while increasing scores in physical activity and mindfulness skills at both the third and eighth months compared with GRP. These effects were more pronounced with an 8-month intervention compared with a 3-month intervention. CONCLUSIONS An iMI benefits patients with TRHDs by reducing persistent hallucinations/delusions and enhancing health-related QoL. Longer iMI duration yields superior treatment outcomes.
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Affiliation(s)
- Ting Xue
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Jialing Sheng
- The First Minzheng Mental Health Center, Shanghai, China
| | - Hui Gao
- The First Minzheng Mental Health Center, Shanghai, China
| | - Yan Gu
- The First Minzheng Mental Health Center, Shanghai, China
| | - Jingjing Dai
- The First Minzheng Mental Health Center, Shanghai, China
| | - Xianghong Yang
- The First Minzheng Mental Health Center, Shanghai, China
| | - Hong Peng
- The First Minzheng Mental Health Center, Shanghai, China
| | - Hongrui Gao
- The First Minzheng Mental Health Center, Shanghai, China
| | - Ruping Lu
- The First Minzheng Mental Health Center, Shanghai, China
| | - Yi Shen
- The First Minzheng Mental Health Center, Shanghai, China
| | - Li Wang
- The First Minzheng Mental Health Center, Shanghai, China
| | - Lijun Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Yuan Shi
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Zezhi Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Donghong Cui
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
- Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
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Xue T, Zhou L, Wang F, Tian Z, Li N, Ye T, Hao R, Yang L, Gu R, Gan H, Wu Z, Zhu X, Liu S, Sun Y, Dou G, Meng Z. A novel method to quantify chitosan in aqueous solutions by ultrahigh-performance liquid chromatography-tandem mass spectrometry. Carbohydr Polym 2024; 329:121758. [PMID: 38286539 DOI: 10.1016/j.carbpol.2023.121758] [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: 09/29/2023] [Revised: 12/21/2023] [Accepted: 12/28/2023] [Indexed: 01/31/2024]
Abstract
In this study, a novel and accurate quantitative analysis method for the direct determination of chitosan (CS) in aqueous solutions using ultrahigh-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) is presented. By detecting the mass spectrum response intensity of a series of CS characteristic ion pairs, the sample concentration (abscissa) was linearly fitted with the total ion current (TIC) response intensity of its characteristic ion pairs (ordinate). A reliable standard curve was derived for quantifying CS in the range of 125-4000 ng/mL. Under the detection conditions, this CS quantification method yielded acceptable specificity (no interference peak), linearity (with correlation coefficient (r2) values >0.999), precision (acceptable limit RSDr < 3 %, RSDR < 6 %), accuracy (RE within the acceptable limits of ±5 %), and stability (acceptable limit RE within ±5 %, RSDr < 3 %). Moreover, the applicability of measurement was verified when a series of substrates did not interact with CS in the solution. Results have verified the applicability of this method for determining CS content in different composites. This study provides a method for determining CS content with significant practical value and economic benefit.
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Affiliation(s)
- Ting Xue
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Lei Zhou
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Fanjun Wang
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Zhuang Tian
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Nanxi Li
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Tong Ye
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Ruolin Hao
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Lei Yang
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Ruolan Gu
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Hui Gan
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Zhuona Wu
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Xiaoxia Zhu
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Shuchen Liu
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Yunbo Sun
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Guifang Dou
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Zhiyun Meng
- Beijing Institute of Radiation Medicine, Beijing 100850, China.
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Ma K, Chinelo OR, Gu M, Kong F, Jiang Y, Wang H, Xue T. Role of ArcA in the regulation of antibiotic sensitivity in avian pathogenic Escherichia coli. Poult Sci 2024; 103:103686. [PMID: 38574461 PMCID: PMC11004985 DOI: 10.1016/j.psj.2024.103686] [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: 02/06/2024] [Revised: 03/16/2024] [Accepted: 03/18/2024] [Indexed: 04/06/2024] Open
Abstract
Avian pathogenic Escherichia coli (APEC) is one of the common extraintestinal infectious disease pathogens in chickens, geese, and other birds, inducing serious impediments to the development of the poultry industry. Hence, investigating how bacteria regulate themselves amidst different challenging conditions is immense essential in prevention and treatment for bacterial pathogen infections. The ArcA regulatory factor has been reported to regulate oxygen availability in strains, but its role in regulation of antibiotics resistance in APEC is unclear. This study delved into understanding how ArcA regulates antibiotic resistance in APEC. An E. coli APEC40 arcA knockout strain was constructed, and the regulatory mechanism of arcA on APEC antibiotic susceptibility was identified by drug sensitivity test, colony counting assay, real-time quantitative PCR, β-galactosidase assays and electrophoretic mobility shift assay (EMSA). The results showed that ArcA directly binds to the promoter region of the outer membrane protein OmpC/OmpW and regulates bacterial susceptibility to kanamycin and penicillin G. At the same time, the double knockout of ompW and ompW/arcA resulted in an increase in resistance to kanamycin compared to the deletion of the arcA gene. This outcome provided experimental proof suggesting that the outer membrane protein OmpW could serve as a crucial pathway for the ingress of kanamycin into cells. These results confirmed the important regulatory role of ArcA transcription factors under APEC antibiotic stress.
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Affiliation(s)
- Kai Ma
- School of Life Sciences, Anhui Agricultural University, Hefei, Anhui 230036, China
| | - Okoro Ruth Chinelo
- School of Life Sciences, Anhui Agricultural University, Hefei, Anhui 230036, China
| | - Mantian Gu
- School of Life Sciences, Anhui Agricultural University, Hefei, Anhui 230036, China
| | - Fanwenqing Kong
- School of Life Sciences, Anhui Agricultural University, Hefei, Anhui 230036, China
| | - Ying Jiang
- School of Life Sciences, Anhui Agricultural University, Hefei, Anhui 230036, China
| | - Hui Wang
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230027, China.
| | - Ting Xue
- School of Life Sciences, Anhui Agricultural University, Hefei, Anhui 230036, China.
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9
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Xue T, Liu W, Wang L, Shi Y, Hu Y, Yang J, Li G, Huang H, Cui D. Extracellular vesicle biomarkers for complement dysfunction in schizophrenia. Brain 2024; 147:1075-1086. [PMID: 37816260 PMCID: PMC10907082 DOI: 10.1093/brain/awad341] [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: 03/27/2023] [Revised: 09/17/2023] [Accepted: 09/19/2023] [Indexed: 10/12/2023] Open
Abstract
Schizophrenia, a complex neuropsychiatric disorder, frequently experiences a high rate of misdiagnosis due to subjective symptom assessment. Consequently, there is an urgent need for innovative and objective diagnostic tools. In this study, we used cutting-edge extracellular vesicles' (EVs) proteome profiling and XGBoost-based machine learning to develop new markers and personalized discrimination scores for schizophrenia diagnosis and prediction of treatment response. We analysed plasma and plasma-derived EVs from 343 participants, including 100 individuals with chronic schizophrenia, 34 first-episode and drug-naïve patients, 35 individuals with bipolar disorder, 25 individuals with major depressive disorder and 149 age- and sex-matched healthy controls. Our innovative approach uncovered EVs-based complement changes in patients, specific to their disease-type and status. The EV-based biomarkers outperformed their plasma counterparts, accurately distinguishing schizophrenia individuals from healthy controls with an area under curve (AUC) of 0.895, 83.5% accuracy, 85.3% sensitivity and 82.0% specificity. Moreover, they effectively differentiated schizophrenia from bipolar disorder and major depressive disorder, with AUCs of 0.966 and 0.893, respectively. The personalized discrimination scores provided a personalized diagnostic index for schizophrenia and exhibited a significant association with patients' antipsychotic treatment response in the follow-up cohort. Overall, our study represents a significant advancement in the field of neuropsychiatric disorders, demonstrating the potential of EV-based biomarkers in guiding personalized diagnosis and treatment of schizophrenia.
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Affiliation(s)
- Ting Xue
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 201108, China
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, Shanghai Mental Health Center, Shanghai 201108, China
| | - Wenxin Liu
- College of Life Sciences, Shanghai Normal University, Shanghai 200234, China
| | - Lijun Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 201108, China
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, Shanghai Mental Health Center, Shanghai 201108, China
| | - Yuan Shi
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 201108, China
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, Shanghai Mental Health Center, Shanghai 201108, China
| | - Ying Hu
- Shenzhi Department, Fourth Affiliated Hospital of Xinjiang Medical University, Urumqi 830000, China
| | - Jing Yang
- Department of Hematology, Tongji 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
| | - Guiming Li
- Department of Hematology, Tongji 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
| | - Hongna Huang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 201108, China
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, Shanghai Mental Health Center, Shanghai 201108, China
| | - Donghong Cui
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 201108, China
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, Shanghai Mental Health Center, Shanghai 201108, China
- Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200240, China
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10
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Xue T, Ma C, Liu L, Xiao C, Ni SF, Zeng R. Characterization of A π-π stacking cocrystal of 4-nitrophthalonitrile directed toward application in photocatalysis. Nat Commun 2024; 15:1455. [PMID: 38365855 PMCID: PMC10873295 DOI: 10.1038/s41467-024-45686-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/31/2024] [Indexed: 02/18/2024] Open
Abstract
Photoexcitation of the electron-donor-acceptor complexes have been an effective approach to achieve radicals by triggering electron transfer. However, the catalytic version of electron-donor-acceptor complex photoactivation is quite underdeveloped comparing to the well-established utilization of electronically biased partners. In this work, we utilize 4-nitrophthalonitrile as an electron acceptor to facilitate the efficient π-stacking with electron-rich aromatics to form electron-donor-acceptor complex. The characterization and energy profiles on the cocrystal of 4-nitrophthalonitrile and 1,3,5-trimethoxybenzene disclose that the electron transfer is highly favorable under the light irradiation. This electron acceptor catalyst can be efficiently applied in the benzylic C-H bond photoactivation by developing the Giese reaction of alkylanisoles and the oxidation of the benzyl alcohols. A broad scope of electron-rich aromatics can be tolerated and a mechanism is also proposed. Moreover, the corresponding π-anion interaction of 4-nitrophthalonitrile with potassium formate can further facilitate the hydrocarboxylation of alkenes efficiently.
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Affiliation(s)
- Ting Xue
- School of Chemistry, Xi'an Jiaotong University, Xi'an, 710049, PR China
| | - Cheng Ma
- Department of Chemistry and Key Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong, Shantou University, Shantou, 515063, Guangdong, PR China
| | - Le Liu
- School of Chemistry, Xi'an Jiaotong University, Xi'an, 710049, PR China
| | - Chunhui Xiao
- School of Chemistry, Xi'an Jiaotong University, Xi'an, 710049, PR China.
| | - Shao-Fei Ni
- Department of Chemistry and Key Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong, Shantou University, Shantou, 515063, Guangdong, PR China.
| | - Rong Zeng
- School of Chemistry, Xi'an Jiaotong University, Xi'an, 710049, PR China.
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11
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Yang Y, Cheng S, Zheng Y, Xue T, Huang JW, Zhang L, Yang Y, Guo RT, Chen CC. Remodeling the polymer-binding cavity to improve the efficacy of PBAT-degrading enzyme. J Hazard Mater 2024; 464:132965. [PMID: 37979420 DOI: 10.1016/j.jhazmat.2023.132965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/31/2023] [Accepted: 11/07/2023] [Indexed: 11/20/2023]
Abstract
Poly(butylene adipate-co-terephthalate) (PBAT) is among the most widely applied synthetic polyesters that are utilized in the packaging and agricultural industries, but the accumulation of PBAT wastes has posed a great burden to ecosystems. Using renewable enzymes to decompose PBAT is an eco-friendly solution to tackle this problem. Recently, we demonstrated that cutinase is the most effective PBAT-degrading enzyme and that an engineered cutinase termed TfCut-DM could completely decompose PBAT film to terephthalate (TPA). Here, we report crystal structures of a variant of leaf compost cutinase in complex with soluble fragments of PBAT, including BTa and TaBTa. In the TaBTa complex, one TPA moiety was located at a polymer-binding site distal to the catalytic center that has never been experimentally validated. Intriguingly, the composition of the distal TPA-binding site shows higher diversity relative to the one proximal to the catalytic center in various cutinases. We thus modified the distal TPA-binding site of TfCut-DM and obtained variants that exhibit higher activity. Notably, the time needed to completely degrade the PBAT film to TPA was shortened to within 24 h by TfCut-DM Q132Y (5813 mol per mol protein). Taken together, the structural information regarding the substrate-binding behavior of PBAT-degrading enzymes could be useful guidance for direct enzyme engineering.
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Affiliation(s)
- Yu Yang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062 Wuhan, People's Republic of China
| | - Shujing Cheng
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062 Wuhan, People's Republic of China
| | - Yingyu Zheng
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062 Wuhan, People's Republic of China
| | - Ting Xue
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062 Wuhan, People's Republic of China
| | - Jian-Wen Huang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062 Wuhan, People's Republic of China
| | - Lilan Zhang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062 Wuhan, People's Republic of China
| | - Yunyun Yang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062 Wuhan, People's Republic of China
| | - Rey-Ting Guo
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062 Wuhan, People's Republic of China; Department of Immunology and Pathogen Biology, School of Basic Medical Sciences, Hangzhou Normal University, 311121 Hangzhou, People's Republic of China.
| | - Chun-Chi Chen
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062 Wuhan, People's Republic of China; Department of Immunology and Pathogen Biology, School of Basic Medical Sciences, Hangzhou Normal University, 311121 Hangzhou, People's Republic of China.
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12
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Chen D, Chen J, Dai R, Zheng X, Han Y, Chen Y, Xue T. Integration analysis of ATAC-seq and RNA-seq provides insight into fatty acid biosynthesis in Schizochytrium limacinum under nitrogen limitation stress. BMC Genomics 2024; 25:141. [PMID: 38311722 PMCID: PMC10840233 DOI: 10.1186/s12864-024-10043-5] [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: 06/08/2023] [Accepted: 01/22/2024] [Indexed: 02/06/2024] Open
Abstract
BACKGROUND Schizochytrium limacinum holds significant value utilized in the industrial-scale synthesis of natural DHA. Nitrogen-limited treatment can effectively increase the content of fatty acids and DHA, but there is currently no research on chromatin accessibility during the process of transcript regulation. The objective of this research was to delve into the workings of fatty acid production in S. limacinum by examining the accessibility of promoters and profiling gene expressions. RESULTS Results showed that differentially accessible chromatin regions (DARs)-associated genes were enriched in fatty acid metabolism, signal transduction mechanisms, and energy production. By identifying and annotating DARs-associated motifs, the study obtained 54 target transcription factor classes, including BPC, RAMOSA1, SPI1, MYC, and MYB families. Transcriptomics results revealed that several differentially expressed genes (DEGs), including SlFAD2, SlALDH, SlCAS1, SlNSDHL, and SlDGKI, are directly related to the biosynthesis of fatty acids, meanwhile, SlRPS6KA, SlCAMK1, SlMYB3R1, and SlMYB3R5 serve as transcription factors that could potentially influence the regulation of fatty acid production. In the integration analysis of DARs and ATAC-seq, 13 genes were identified, which were shared by both DEGs and DARs-associated genes, including SlCAKM, SlRP2, SlSHOC2, SlTN, SlSGK2, SlHMP, SlOGT, SlclpB, and SlDNAAF3. CONCLUSIONS SlCAKM may act as a negative regulator of fatty acid and DHA synthesis, while SlSGK2 may act as a positive regulator, which requires further study in the future. These insights enhance our comprehension of the processes underlying fatty acid and DHA production in S. limacinum. They also supply a foundational theoretical framework and practical assistance for the development of strains rich in fatty acids and DHA.
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Affiliation(s)
- Duo Chen
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration, Center of Engineering Technology Research for Microalga Germplasm Improvement of Fujian, Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization, College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Jing Chen
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration, Center of Engineering Technology Research for Microalga Germplasm Improvement of Fujian, Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization, College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Rongchun Dai
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration, Center of Engineering Technology Research for Microalga Germplasm Improvement of Fujian, Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization, College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Xuehai Zheng
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration, Center of Engineering Technology Research for Microalga Germplasm Improvement of Fujian, Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization, College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Yuying Han
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration, Center of Engineering Technology Research for Microalga Germplasm Improvement of Fujian, Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization, College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Youqiang Chen
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration, Center of Engineering Technology Research for Microalga Germplasm Improvement of Fujian, Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization, College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Ting Xue
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration, Center of Engineering Technology Research for Microalga Germplasm Improvement of Fujian, Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization, College of Life Sciences, Fujian Normal University, Fuzhou, China.
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13
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Xue T, Zheng L, Dong F, Zhou G, Zhong X. [Single-cell RNA sequencing combined experimental verifies the core genes of dendritic cells in chronic obstructive pulmonary disease]. Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi 2024; 40:97-105. [PMID: 38284250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2024]
Abstract
Objective Single-cell RNA sequencing (scRNA-Seq) and experimental verifies core genes of dendritic cells in chronic obstructive pulmonary disease (COPD). Methods scRNA-seq data GSE173896 and chip data GSE38974 were extracted from the Gene Expression Omnibus (GEO) database. GSE173896 was used to perform quality control, batch correction, dimensionality reduction clustering, cell type annotation and dendritic cell differentially expressed genes (DC-DEGs) identification. DEGs from the analysis of GSE38974 were intersected with DC-DEGs to obtain the common DC-DEGs. The diagnostic efficacy of the common DC-DEGs for COPD and their enrichment analysis were conducted. The correlation of the common DC-DEGs with activated dendritic cell (DCs), plasmacytoid dendritic cell (pDCs) and type 17 T helper(Th17) cells were analyzed. The mRNA expression level of the common DC-DEGs in the lung tissue of emphysema mice was verified. Results From GSE173896, 18 DC-DEGs were obtained between groups and from GSE38974, 646 DEGs were obtained. The intersection of the two resulted in 3 common DC-DEGs, including interleukin 1 receptor antagonist 1 (IL1RN), S100 calcicum-binding protein A8 (S100A8) and S100A9. Their respective area under curve (AUC) values were 0.841, 0.804 and 0.966. The GO and KEGG enrichment analysis mainly concentrated on chronic inflammatory response, collagen-containing extracellular matrix, receptor for advanced glycation end products (RAGE) binding, Toll-like receptor (TLR) binding and interleukin 17 (IL-17) signaling pathway. IL1RN, S100A8 and S100A9 were positively correlated with activated DCs, pDCs and Th17 cells. The results showed that the mRNA relative expression levels of IL1RN, S100A8 and S100A9 were up-regulated in the lung tissue of emphysema mice. Conclusion IL1RN, S100A8 and S100A9 may be the core genes of DCs in the pathogenesis of COPD, which potentially provide targets and a theoretical basis for subsequent COPD immunotherapy.
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Affiliation(s)
- Ting Xue
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - Leting Zheng
- Department of Rheumatology and Immunology, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - Fei Dong
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - Guang Zhou
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - Xiaoning Zhong
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China. *Corresponding author, E-mail:
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Yu H, Yan X, Wang N, Liu X, Xue T, Li C, Zhang X. Characterization of caspase gene family in Sebastes schlegelii and their expression profiles under Aeromonas salmonicida and Vibrio anguillarum infection. Comp Biochem Physiol B Biochem Mol Biol 2024; 270:110913. [PMID: 37913865 DOI: 10.1016/j.cbpb.2023.110913] [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: 05/28/2023] [Revised: 10/27/2023] [Accepted: 10/27/2023] [Indexed: 11/03/2023]
Abstract
The caspase, functioning as a proteinase, plays a crucial role in eukaryotic cell apoptosis, regulation of apoptosis, cellular growth, differentiation, and immunity. The identification of caspase gene family in Sebastes schlegelii is of great help to understand its antimicrobial research. In S. schlegelii, we totally identified nine caspase genes, including four apoptosis initiator caspases (caspase 2, caspase 8, caspase 9 and caspase 10), four apoptosis executioners (caspase 3a, caspase 3b, caspase 6, and caspase 7) and one inflammatory executioner (caspase 1). The duplication of caspase 3 genes on chr3 and chr8 may have been facilitated by whole genome duplication (WGD) events or other complex evolutionary processes. In general, the number of caspase genes relatively conserved in high vertebrates, while exhibiting variation in teleosts. Furthermore, syntenic analysis and phylogenetic relationships analysis supported the correct classification of these caspase gene family in S. schlegelii, especially for genes with duplicated copies. Additionally, the expression patterns of these caspase genes in different tissues of S. schlegelii under healthy conditions were assessed. The results revealed that the expression levels of most caspase genes were significantly elevated in the intestine, spleen, and liver. To further investigate the potential immune functions of these caspase genes in S. schlegelii, we challenged individuals with A. salmonicida and V. anguillarum, respectively. After infection with A. salmonicida, the expression levels of caspase 1 in the liver and spleen of S. schlegelii remained consistently elevated throughout the infection time points. The expression levels of most caspase family members in the intestine exhibited significant divergence following V. anguillarum infection. This study provides a comprehensive understanding of the caspase gene families in S. schlegelii, thereby establishing a solid foundation for further investigations into the functional roles of these caspase genes.
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Affiliation(s)
- Haohui Yu
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China
| | - Xu Yan
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China, Qingdao 266011, China; College of Life Sciences, Qingdao University, Qingdao 266071, China
| | - Ningning Wang
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China
| | - Xiantong Liu
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China
| | - Ting Xue
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China
| | - Chao Li
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China.
| | - Xiaoyan Zhang
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China.
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15
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He D, Su CL, Xue T, Wang JH, Chen K, Zhao NJ, Hu SQ, Hua R, Xu T, Yan XL. [Serum glycocalyx markers in patients after cardiac arrest: association with outcomes]. Zhonghua Yi Xue Za Zhi 2024; 104:63-68. [PMID: 38178770 DOI: 10.3760/cma.j.cn112137-20230829-00322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Abstract
Objective: To assess the levels of serum glycocalyx markers in the first 24 hours after cardiac arrest (CA) and investigate their relationship with 30-day outcomes. Methods: A retrospective cohort study was conducted on prospectively collected data from CA patients, who were admitted to the intensive care units of the Affiliated Hospital of Xuzhou Medical University and obtained return of spontaneous circulation for more than 24 hours between September 2021 and October 2022. Serum samples obtained at the 24-hour after CA were utilized to measure the levels of glycocalyx markers, including heparan sulfate (HS), hyaluronic acid (HA), and syndecan-1 (Sdc-1). Patients were allocated into good function (CPC1-2) and poor function (CPC3-5) groups on the basis of cerebral performance category (CPC) at 30 days post-CA. Logistic regression analysis was used to determine the association between serum glycocalyx markers and neurological outcomes. Patients were regrouped in light of 30-d mortality and Cox regression analysis was used to determine the association between serum glycocalyx markers and 30-d mortality. Results: A total of 71 patients were included in the study, including 31 (43.7%) females and 40 (56.3%) males, with an average age of (59.0±17.0) years. The poor function group (n=49) demonstrated significantly elevated levels of HS and HA when compared to the good function group (n=22) [HS: 2 461.0(1 623.0, 5 492.0) μg/L vs 1 492.0 (914.0, 2 550.0) μg/L, P=0.008; HA: 124.0(97.0, 365.0)μg/L vs 337.0(135.0, 1 421.0) μg/L, P=0.033]. Adjusted logistic regression analysis revealed that HS was independently associated with poor neurological outcome [odds ratio (OR)=0.389, 95% confidence interval (CI): 0.182-0.828, P=0.014]. In the 30-day mortality analysis, the death group (n=32) exhibited significantly higher levels of HS and HA when compared to the survival group (n=39) [HS: 1 880.0(1 011.0, 3 554.0) μg/L vs 2 500.0(1 726.0, 6 276.0) μg/L, P=0.027; HA: 162.0(99.0, 537.0) μg/L vs 813.0(148.0, 1 531.0) μg/L, P=0.025]. Adjusted Cox regression analysis indicated that elevated levels of HS and HA were independent risk factors (HS: HR=1.697, 95%CI: 1.126-2.557, P=0.011; HA: HR=1.336, 95%CI: 1.047-1.705, P=0.020) for 30-day mortality. Conclusions: High level of serum HS in 24 hours after CA may serve as a potential predictive marker for both neurological function and 30-day mortality. However, high level of serum HA appears to primarily predict 30-day mortality. Sdc-1 does not seem to contribute to outcome prediction.
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Affiliation(s)
- D He
- Emergency Medicine Department, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China
| | - C L Su
- Emergency Medicine Department, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China
| | - T Xue
- Emergency Medicine Department, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China
| | - J H Wang
- Emergency Medicine Department, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China
| | - K Chen
- Emergency Medicine Department, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China
| | - N J Zhao
- Emergency Medicine Department, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China
| | - S Q Hu
- Emergency Medicine Department, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China
| | - R Hua
- Emergency Medicine Department, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China
| | - T Xu
- Emergency Medicine Department, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China
| | - X L Yan
- Emergency Medicine Department, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China
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Li K, Xue T, Chen L, Li J, Dong F, Sun Y. Dual function of H 2O on interfacial intermediate conversion and surface poisoning regulation in simultaneous photodegradation of NO and toluene. Environ Res 2024; 240:117526. [PMID: 37898225 DOI: 10.1016/j.envres.2023.117526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 10/30/2023]
Abstract
Co-existing air pollutants, especially NOx and VOCs, will generate secondary photochemical pollution under light irradiation. However, simultaneous elimination of multi-pollutants has long been a challenge. Photocatalysis could turn the reaction pathway between pollutants to convert them into harmless products, which is a promising technology for multi-pollutant control. Here we achieved synergistic photocatalytic degradation of NO and C7H8 on InOOH photocatalyst, and the performance can be adjusted by H2O through affecting the interaction between surface species and catalyst. In situ DRIFTS and GC-MS revealed that the improved efficiency originated from the fast conversion of C-N coupling intermediates led by additional H2O. Surface characterizations and DFT simulation determined that accumulated nitrates will compete with the adsorption of NO and C7H8, resulting in a decline in efficiency in the later stage. Although improved efficiency would bring more nitrates, as H2O has comparable adsorption to nitrate at the same site, high humidity can mitigate the deactivation. The photocatalyst can be also simply regenerated by water washing. This work reveals the complex interaction in the multi-pollutant system and provides guidelines for precisely regulating the synergistic removal of NOx and VOCs.
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Affiliation(s)
- Kanglu Li
- School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, 611731, China; College of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China
| | - Ting Xue
- Research Center for Carbon-Neutral Environmental & Energy Technology, Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Lvcun Chen
- Research Center for Carbon-Neutral Environmental & Energy Technology, Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Jianjun Li
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, Sichuan, China
| | - Fan Dong
- Research Center for Carbon-Neutral Environmental & Energy Technology, Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Yanjuan Sun
- School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, 611731, China.
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Zhou Y, Xue T, Cheng Y, Wang J, Dong F, Jia S, Zhang F, Wang X, Lv X, Wang H, Yuan K, Yu D. The changes of intrinsic connectivity contrast in young smokers. Addict Biol 2023; 28:e13347. [PMID: 38017637 DOI: 10.1111/adb.13347] [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: 04/02/2023] [Revised: 07/07/2023] [Accepted: 09/26/2023] [Indexed: 11/30/2023]
Abstract
Previous studies demonstrated that reward circuit plays an important role in smoking. The differences of functional and structural connectivity were found among several brain regions such as thalamus and frontal lobe. However, few studies focused on functional connectivity (FC) in whole-brain voxel level of young smokers. In this study, intrinsic connectivity contrast (ICC) was used to perform voxel-based whole-brain analyses in 55 young smokers and 55 matched non-smokers to identify brain regions with significant group differences. ICC results showed that the connectivity of young smokers in medial frontal cortex (MedFC), supramarginal gyrus anterior division left (L_aSMG), central opercular cortex left (L_CO) and middle frontal gyrus left (L_MidFG) showed a significantly lower trend compared with the non-smokers. The seed-based FC analysis about MedFC indicated that young smokers showed reduced connectivity between the MedFC and left hippocampus, left amygdala compared to non-smokers. Correlation analysis showed that the ICC of MedFC in young smokers was significantly negatively correlated with Fagerstrom test for nicotine dependence (FTND) and Questionnaire on Smoking Urges (QSU). The FC between the MedFC and left hippocampus, left amygdala was significantly negatively correlated with Pack_years. The mediation analysis indicated that ICC of MedFC completely mediated FTND and QSU of young smokers. The results suggest that nicotine accumulation may affect the communication of the frontal lobe with the whole brain to some extent, leading to changes in smoking cravings. The above research also provides in-depth insights into the mechanism of adolescent smoking addiction and related intervention treatment.
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Affiliation(s)
- Yang Zhou
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Ting Xue
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Yongxin Cheng
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Juan Wang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Fang Dong
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Shaodi Jia
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Fan Zhang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Xiaoqing Wang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Xiaoqi Lv
- College of Information Engineering, Inner Mongolia University of Technology, Hohhot, Inner Mongolia, China
| | - Hongde Wang
- Xilinguole Meng Mongolian General Hospital, Xilinhaote, Inner Mongolia, China
| | - Kai Yuan
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
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Xue T, Du W, Wang J. [Progress of researches on developmental processes and reproduction mode of Pneumocystis]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:522-528. [PMID: 38148544 DOI: 10.16250/j.32.1374.2022289] [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: 12/28/2023]
Abstract
Pneumocystis, an important opportunistic fungal pathogen that parasitizes in multiple mammalian lungs, may cause life-threatening Pneumocystis pneumonia (PCP) and even death among immunocompromised individuals. With the rapid development of high-throughput sequencing and multi-omics technologies, systematic comparative analyses of genome, transcriptome, and whole-genome sequencing results demonstrate that Pneumocystis is a type of obligate biotrophic fungi, and requires obtaining nutrition from hosts. In addition, sexual reproduction is an essential process for Pneumocystis survival, production and transmission, and asexual reproduction facilitates Pneumocystis survival, which provides new insights into understanding of the whole developmental process of Pneumocystis in the host lung and inter-host transmission of Pneumocystis. This review summarizes the advances in the reproduction mode of Pneumocystis and underlying mechanisms, which provides insights into prevention and treatment of PCP, notably for the prophylaxis against nosocomial transmission of PCP.
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Affiliation(s)
- T Xue
- National Health Commission Key Laboratory of Pneumoconiosis, Key Laboratory of Respiratory Diseases of Shanxi Province, Key Laboratory of Prevention, Treatment and Fundamental Studies for Respiratory Diseases of Shanxi Province, Department of Respiratory and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - W Du
- Department of Clinical Laboratory, the People's Hospital of Lüliang, Shanxi Province, China
| | - J Wang
- Department of Nosocomial Infection Management, The First Hospital of Shanxi Medical University, Shanxi Province, China
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Huang H, Du L, Pu Z, Shi Y, Xiao Z, Chen X, Yao S, Wang L, Li Z, Xue T, Cui D. Association Between Metabolic Risk Factors and Cognitive Impairment in Schizophrenia Based on Sex. Psychiatry Investig 2023; 20:930-939. [PMID: 37899216 PMCID: PMC10620336 DOI: 10.30773/pi.2023.0105] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 07/06/2023] [Accepted: 07/24/2023] [Indexed: 10/31/2023] Open
Abstract
OBJECTIVE Sex differences have been observed in many aspects of schizophrenia, including cognitive deficits. Despite extensive research into the relationship between metabolic factors and cognitive deficits in schizophrenia, few studies have explored the potential sex difference in their association. METHODS We recruited 358 schizophrenia patients and 231 healthy controls. The participants underwent measurements of body mass index (BMI), waist circumference, blood pressure, triglycerides, high-density lipoprotein cholesterol, and fasting blood glucose. Metabolic risk factors included abdominal obesity, hypertension, hyperglycemia, and dyslipidemia. A collection of these metabolic risk factors has been defined as metabolic syndrome. These diagnoses were based on the criteria of the National Cholesterol Education Program's Adult Treatment Panel III. Cognitive performance was measured using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). A descriptive analysis, difference analysis, and linear regression model were used to identify the metabolic risk factors for cognitive function in schizophrenia. RESULTS Our findings revealed sex differences in the rate of abdominal obesity and hypertension in schizophrenic patients. Additionally, we observed sex differences in the association between metabolic risk factors and cognitive impairment in schizophrenia. Specifically, hyperglycemia was associated with the immediate memory index score of RBANS in male patients, while dyslipidemia was associated with language, attention, delayed memory index scores, and RBANS total score in female patients. CONCLUSION Our results suggest that sex should be considered when evaluating the impact of metabolic disorders on the cognitive function of schizophrenic patients. Moreover, our study identifies hyperglycemia and dyslipidemia as potential targets for precise treatment by sex stratification, which could benefit the improvement of cognitive impairment in schizophrenic patients.
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Affiliation(s)
- Hongna Huang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Lizhao Du
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Zhengping Pu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Yuan Shi
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Zifan Xiao
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Xi Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Shun Yao
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Lijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Zezhi Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ting Xue
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Donghong Cui
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
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Xue T, Li ZS, Wu C, Li YH, Liu ZW, Qin ZK, Yao K, Zhou FJ, Han H. Prognostic Value of Inflammation Biomarkers in Penile Squamous Cell Carcinoma Patients Without Distant Metastasis. Clin Genitourin Cancer 2023; 21:e334-e342.e1. [PMID: 37225533 DOI: 10.1016/j.clgc.2023.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/26/2023] [Accepted: 03/27/2023] [Indexed: 04/08/2023]
Abstract
BACKGROUND To investigate the value of the presurgical inflammatory biomarkers including C-reactive protein (CRP), albumin (ALB), C-reactive protein to albumin ratio (CAR), Glasgow prognostic score (GPS), the modified GPS (mGPS), and the high-sensitivity modified GPS (Hs-mGPS) in penile squamous cell carcinoma (PSCC) without distant metastasis and develop a tool to predict the overall survival (OS) of PSCC patients. METHODS We retrospectively enrolled 271 PSCC patients without distant metastasis from 2006 to 2021. Patients were divided into 2 cohorts by a 7:3 ratio-a training cohort (n = 191) and a validation cohort (n = 80). We performed cox regression analyses on the training cohort and constructed a nomogram to predict OS over 1, 3, and 5 years. Data from the validation cohort was used to validate the nomogram's predictive power. RESULTS According to Kaplan-Meier analysis, elevated CRP (P < .001), hypoalbuminemia (P = .008), higher CAR (P < .001), higher GPS score (P < .001), higher mGPS score (P < .001), and higher Hs-mGPS score (P = .015) were associated with a decreased overall survival. GPS score, along with age, pathology N stage, and grade, was found to be an independent risk factor for poor prognosis in the multivariate analysis. We constructed a nomogram based on the prespecified variables predicting 1-, 3- and 5-year OS. The C-indexes of the nomogram in the training and validation cohorts were 0.871 and 0.869, respectively. The decision curve analysis showed that the nomogram had a larger net benefit. The Kaplan-Meier curves showed significant differences between the risk groups categorized according to the nomogram (P < .001). CONCLUSIONS Inflammation biomarkers of systemic inflammation and nutritional status play an important role in individual OS predictions for PSCC patients without distant monitoring. The establishment of the nomogram provided a tool to predict the survival of 1-, 3-, and 5-year OS in PSCC patients without distant metastasis.
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Affiliation(s)
- Ting Xue
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China; Collaborative Innovation Center of Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Zai-Shang Li
- Department of Urology, Shenzhen People's Hospital, The Second Clinic Medical College of Jinan University, Shenzhen, China; Department of Urology, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China; Minimally Invasive Urology of Shenzhen Research and Development Center of Medical Engineering and Technology, Shenzhen People's Hospital, Shenzhen, China
| | - Chong Wu
- Department of Gastrointestinal Surgery, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Yong-Hong Li
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China; Collaborative Innovation Center of Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Zhuo-Wei Liu
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China; Collaborative Innovation Center of Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Zi-Ke Qin
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China; Collaborative Innovation Center of Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Kai Yao
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China; Collaborative Innovation Center of Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Fang-Jian Zhou
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China; Collaborative Innovation Center of Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
| | - Hui Han
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China; Collaborative Innovation Center of Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
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Di W, Xu H, Ling C, Xue T. Early identification of lung cancer patients with venous thromboembolism: development and validation of a risk prediction model. Thromb J 2023; 21:95. [PMID: 37710256 PMCID: PMC10500728 DOI: 10.1186/s12959-023-00544-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 09/10/2023] [Indexed: 09/16/2023] Open
Abstract
INTRODUCTION Venous thromboembolism(VTE) is a leading cause of death in patients with lung cancer. Furthermore, hospitalization of patients with advanced lung cancer for VTE treatment represents a major economic burden on the national public health resources. Therefore, we performed this prospective study to identify clinical biomarkers for the early identification of VTE in lung cancer patients. METHODS This prospective study enrolled 158 patients with confirmed lung cancer, including 27 who were diagnosed with VTE within six months of the follow-up after lung cancer diagnosis. Multivariate logistic regression analysis was used to evaluate the diagnostic performancese of all the relevant clinical features and laboratory indicators in identifying lung cancer patients with a higher risk of VTE. A novel risk prediction model was constructed consisting of five clinical variables with the best diagnostic performances and was validated using the receiver operation characteristic(ROC) curves. The diagnostic performances of the new risk prediction model was also compared with the Khorana risk score (KRS) and the Padua risk score (PRS). RESULTS The VTE group of lung cancer patients (n = 27) showed significantly higher serum levels of fibrin degradation products (FDP), D-dimer, thrombomodulin (TM), thrombin-antithrombin-complex (TAT), α2-plasmin inhibitor-plasmin Complex (PIC), and tissue plasminogen activator-plasminogen activator inhibitor complex (t-PAIC) compared to those in the non-VTE group (n = 131). ROC curve analyses showed that the diagnostic efficacy of the new VTE risk prediction model with TM ≥ 9.75 TU/ml, TAT ≥ 2.25ng/ml, t-PAIC ≥ 7.35ng/ml, history of VTE, and ECOG PS score ≥ 2 was superior than the KRS and the PRS in the early identification of lung cancer patients with a higher risk of VTE. CONCLUSIONS The new risk prediction model showed significantly high diagnostic efficacy in the early identification of lung cancer patients with a high risk of VTE. The diagnostic efficacy of the new risk prediction model was higher than the KRS and the PRS in this cohort of lung cancer patients.
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Affiliation(s)
- Wenjuan Di
- Department of Pulmonary and Critical Care Medicine, Kunshan Hospital of Traditional Chinese Medicine, Suzhou City, Jiangsu Province, People's Republic of China
| | - Haotian Xu
- Department of Pulmonary and Critical Care Medicine, The First Hospital Affiliated of Soochow Unversity, No188, Shizi Street, Gusu district, Suzhou City, Jiangsu Province, People's Republic of China
| | - Chunhua Ling
- Department of Pulmonary and Critical Care Medicine, The First Hospital Affiliated of Soochow Unversity, No188, Shizi Street, Gusu district, Suzhou City, Jiangsu Province, People's Republic of China
| | - Ting Xue
- Department of Pulmonary and Critical Care Medicine, The First Hospital Affiliated of Soochow Unversity, No188, Shizi Street, Gusu district, Suzhou City, Jiangsu Province, People's Republic of China.
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Pei H, Zhu C, Shu F, Lu Z, Wang H, Ma K, Wang J, Lan R, Shang F, Xue T. CodY: An Essential Transcriptional Regulator Involved in Environmental Stress Tolerance in Foodborne Staphylococcus aureus RMSA24. Foods 2023; 12:3166. [PMID: 37685098 PMCID: PMC10486358 DOI: 10.3390/foods12173166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/04/2023] [Accepted: 08/15/2023] [Indexed: 09/10/2023] Open
Abstract
Staphylococcus aureus (S. aureus), as the main pathogen in milk and dairy products, usually causes intoxication with vomiting and various kinds of inflammation after entering the human body. CodY, an important transcriptional regulator in S. aureus, plays an important role in regulating metabolism, growth, and virulence. However, little is known about the role of CodY on environmental stress tolerance. In this research, we revealed the role of CodY in environmental stress tolerance in foodborne S. aureus RMSA24. codY mutation significantly reduced the tolerance of S. aureus to desiccation and oxidative, salt, and high-temperature stresses. However, S. aureus was more tolerant to low temperature stress due to mutation of codY. We found that the expressions of two important heat shock proteins-GroEL and DanJ-were significantly down-regulated in the mutant codY. This suggests that CodY may indirectly regulate the high- and low-temperature tolerance of S. aureus by regulating the expressions of groEL and danJ. This study reveals a new mechanism of environmental stress tolerance in S. aureus and provides new insights into controlling the contamination and harm caused by S. aureus in the food industry.
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Affiliation(s)
- Hao Pei
- School of Life Sciences, Anhui Agricultural University, Hefei 230036, China; (H.P.); (C.Z.); (F.S.); (Z.L.); (H.W.); (K.M.); (J.W.); (R.L.); (F.S.)
| | - Chengfeng Zhu
- School of Life Sciences, Anhui Agricultural University, Hefei 230036, China; (H.P.); (C.Z.); (F.S.); (Z.L.); (H.W.); (K.M.); (J.W.); (R.L.); (F.S.)
| | - Fang Shu
- School of Life Sciences, Anhui Agricultural University, Hefei 230036, China; (H.P.); (C.Z.); (F.S.); (Z.L.); (H.W.); (K.M.); (J.W.); (R.L.); (F.S.)
| | - Zhengfei Lu
- School of Life Sciences, Anhui Agricultural University, Hefei 230036, China; (H.P.); (C.Z.); (F.S.); (Z.L.); (H.W.); (K.M.); (J.W.); (R.L.); (F.S.)
| | - Hui Wang
- School of Life Sciences, Anhui Agricultural University, Hefei 230036, China; (H.P.); (C.Z.); (F.S.); (Z.L.); (H.W.); (K.M.); (J.W.); (R.L.); (F.S.)
| | - Kai Ma
- School of Life Sciences, Anhui Agricultural University, Hefei 230036, China; (H.P.); (C.Z.); (F.S.); (Z.L.); (H.W.); (K.M.); (J.W.); (R.L.); (F.S.)
| | - Jun Wang
- School of Life Sciences, Anhui Agricultural University, Hefei 230036, China; (H.P.); (C.Z.); (F.S.); (Z.L.); (H.W.); (K.M.); (J.W.); (R.L.); (F.S.)
| | - Ranxiang Lan
- School of Life Sciences, Anhui Agricultural University, Hefei 230036, China; (H.P.); (C.Z.); (F.S.); (Z.L.); (H.W.); (K.M.); (J.W.); (R.L.); (F.S.)
| | - Fei Shang
- School of Life Sciences, Anhui Agricultural University, Hefei 230036, China; (H.P.); (C.Z.); (F.S.); (Z.L.); (H.W.); (K.M.); (J.W.); (R.L.); (F.S.)
- Food Procession Research Institute, Anhui Agricultural University, Hefei 230036, China
| | - Ting Xue
- School of Life Sciences, Anhui Agricultural University, Hefei 230036, China; (H.P.); (C.Z.); (F.S.); (Z.L.); (H.W.); (K.M.); (J.W.); (R.L.); (F.S.)
- Food Procession Research Institute, Anhui Agricultural University, Hefei 230036, China
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Li M, Xu G, Chen Q, Xue T, Peng H, Wang Y, Shi H, Duan S, Feng F. Computed Tomography-based Radiomics Nomogram for the Preoperative Prediction of Tumor Deposits and Clinical Outcomes in Colon Cancer: a Multicenter Study. Acad Radiol 2023; 30:1572-1583. [PMID: 36566155 DOI: 10.1016/j.acra.2022.11.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/16/2022] [Accepted: 11/07/2022] [Indexed: 12/24/2022]
Abstract
RATIONALE AND OBJECTIVES To develop and validate a computed tomography (CT)-based radiomics nomogram for the preoperative prediction of tumor deposits (TDs) and clinical outcomes in patients with colon cancer. MATERIALS AND METHODS This retrospective study included 383 consecutive patients with colon cancer from two centers. Radiomics features were extracted from portal venous phase CT images. Least absolute shrinkage and selection operator regression was applied for feature selection and radiomics signature construction. The multivariate logistic regression model was used to establish a radiomics nomogram. The performance of the nomogram was assessed by using receiver operating characteristic curves, calibration curves and decision curve analysis. Kaplan‒Meier survival analysis was used to assess the difference of the overall survival (OS) in the TDs-positive and TDs-negative groups. RESULTS The radiomics signature was composed of 11 TDs status related features. The AUCs of the radiomics model in the training cohort, internal validation and external validation cohorts were 0.82, 0.78 and 0.78, respectively. The radiomics nomogram that incorporated the radiomics signature and clinical independent predictors (CT-N, CEA and CA199) showed good calibration and discrimination with AUCs of 0.88, 0.80 and 0.81 in the training cohort, internal validation and external validation cohorts, respectively. The radiomics nomogram-predicted high-risk groups had a worse OS than the low-risk groups (p < 0.001). The radiomics nomogram-predicted TDs was an independent preoperative predictor of OS. CONCLUSION The radiomics nomogram based on CT radiomics features and clinical independent predictors could effectively predict the preoperative TDs status and OS of colon cancer. IMPORTANT FINDINGS CT-based radiomics nomogram may be applied in the individual preoperative prediction of TDs status in colon cancer. Additionally, there was a significant difference in OS between the high-risk and low-risk groups defined by the radiomics nomogram, in which patients with high-risk TDs had a significantly worse OS, compared with those with low-risk TDs.
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Affiliation(s)
- Manman Li
- Department of Radiology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, PR China, 226361
| | - Guodong Xu
- Department of Radiology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, PR China
| | - Qiaoling Chen
- Department of Radiology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, PR China, 226361
| | - Ting Xue
- Department of Radiology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, PR China, 226361
| | - Hui Peng
- Department of Radiology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, PR China, 226361
| | - Yuwei Wang
- Department of Record room, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, PR China
| | - Hui Shi
- Department of Radiology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, PR China, 226361
| | | | - Feng Feng
- Department of Radiology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, PR China, 226361.
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Xue T, Kong X, Ma L. Trends in the Epidemiology of Pneumocystis Pneumonia in Immunocompromised Patients without HIV Infection. J Fungi (Basel) 2023; 9:812. [PMID: 37623583 PMCID: PMC10455156 DOI: 10.3390/jof9080812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 06/19/2023] [Accepted: 07/19/2023] [Indexed: 08/26/2023] Open
Abstract
The increasing morbidity and mortality of life-threatening Pneumocystis pneumonia (PCP) in immunocompromised people poses a global concern, prompting the World Health Organization to list it as one of the 19 priority invasive fungal diseases, calling for increased research and public health action. In response to this initiative, we provide this review on the epidemiology of PCP in non-HIV patients with various immunodeficient conditions, including the use of immunosuppressive agents, cancer therapies, solid organ and stem cell transplantation, autoimmune and inflammatory diseases, inherited or primary immunodeficiencies, and COVID-19. Special attention is given to the molecular epidemiology of PCP outbreaks in solid organ transplant recipients; the risk of PCP associated with the increasing use of immunodepleting monoclonal antibodies and a wide range of genetic defects causing primary immunodeficiency; the trend of concurrent infection of PCP in COVID-19; the prevalence of colonization; and the rising evidence supporting de novo infection rather than reactivation of latent infection in the pathogenesis of PCP. Additionally, we provide a concise discussion of the varying effects of different immunodeficient conditions on distinct components of the immune system. The objective of this review is to increase awareness and knowledge of PCP in non-HIV patients, thereby improving the early identification and treatment of patients susceptible to PCP.
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Affiliation(s)
- Ting Xue
- NHC Key Laboratory of Pneumoconiosis, Key Laboratory of Prophylaxis and Treatment and Basic Research of Respiratory Diseases of Shanxi Province, Shanxi Province Key Laboratory of Respiratory, Department of Respiratory and Critical Care Medicine, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Xiaomei Kong
- NHC Key Laboratory of Pneumoconiosis, Key Laboratory of Prophylaxis and Treatment and Basic Research of Respiratory Diseases of Shanxi Province, Shanxi Province Key Laboratory of Respiratory, Department of Respiratory and Critical Care Medicine, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Liang Ma
- Critical Care Medicine Department, NIH Clinical Center, Bethesda, MD 20892, USA
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Zhao Y, Wu J, Guan S, Xue T, Wei X, Cao D, Kong P, Zhang X. PIF1 Promotes Autophagy to Inhibit Chronic Hypoxia Induced Apoptosis of Pulmonary Artery Endothelial Cells. Int J Chron Obstruct Pulmon Dis 2023; 18:1319-1332. [PMID: 37396201 PMCID: PMC10312211 DOI: 10.2147/copd.s406453] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 06/14/2023] [Indexed: 07/04/2023] Open
Abstract
Purpose Pulmonary artery hypertension (PAH) is a common complication of chronic obstructive pulmonary disease and obstructive sleep apnea/hypopnea syndrome worldwide. Pulmonary vascular alterations associated with PAH have multifactorial causes, in which endothelial cells play an important role. Autophagy is closely related to endothelial cell injury and the development of PAH. PIF1 is a multifunctional helicase crucial for cell survival. The present study investigated the effect of PIF1 on autophagy and apoptosis in human pulmonary artery endothelial cells (HPAECs) under chronic hypoxia stress. Methods Chronic hypoxia Gene expression profiling chip-assays identified the PIF1 gene as differentially expressed, which was verified by RT-qPCR analysis. Electron microscopy, immunofluorescence, and Western blotting were used to analyze autophagy and the expression of LC3 and P62. Apoptosis was analyzed using flow cytometry. Results Our study found that chronic hypoxia induces autophagy in HPAECs, and apoptosis was exacerbated by inhibiting autophagy. Levels of the DNA helicase PIF1 were increased in HPAECs after chronic hypoxia. PIF1 knockdown inhibited autophagy and promoted the apoptosis of HPAECs under chronic hypoxia stress. Conclusion Based on these findings, we conclude that PIF1 inhibits the apoptosis of HPAECs by accelerating the autophagy pathway. Therefore, PIF1 plays a crucial role in HPAEC dysfunction in chronic hypoxia-induced PAH and may be a potential target for the treatment of PAH.
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Affiliation(s)
- Yujing Zhao
- Department of the First Clinical Medicine, Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
- Department of NHC Key Laboratory of Pneumoconiosis, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
- Department of Shanxi Key Laboratory of Respiratory Diseases, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
- Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
| | - Juan Wu
- Department of NHC Key Laboratory of Pneumoconiosis, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
- Department of Shanxi Key Laboratory of Respiratory Diseases, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
- Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
| | - Shuai Guan
- Department of Pediatric Infectious Diseases, The First People’s Hospital of Datong, Datong, Shanxi, People’s Republic of China
| | - Ting Xue
- Department of NHC Key Laboratory of Pneumoconiosis, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
- Department of Shanxi Key Laboratory of Respiratory Diseases, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
- Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
| | - Xiaolei Wei
- Department of the First Clinical Medicine, Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
- Department of NHC Key Laboratory of Pneumoconiosis, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
- Department of Shanxi Key Laboratory of Respiratory Diseases, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
- Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
| | - Dawei Cao
- Department of NHC Key Laboratory of Pneumoconiosis, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
- Department of Shanxi Key Laboratory of Respiratory Diseases, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
- Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
| | - Pengzhou Kong
- Department of Translational Medicine Research Center, Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
| | - Xinri Zhang
- Department of NHC Key Laboratory of Pneumoconiosis, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
- Department of Shanxi Key Laboratory of Respiratory Diseases, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
- Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China
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Dong F, Zheng L, An W, Xue T, Zhong X. A meta-analysis of the clinical significance of neutrophil-to-lymphocyte ratios in interstitial lung disease. PLoS One 2023; 18:e0286956. [PMID: 37307262 DOI: 10.1371/journal.pone.0286956] [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: 02/02/2023] [Accepted: 05/26/2023] [Indexed: 06/14/2023] Open
Abstract
Interstitial lung disease (ILD) is a group of diffuse parenchymal infiltrating diseases of different etiologies. The neutrophil-to-lymphocyte ratio (NLR) can reflect ILD's existence, progression, and prognosis and is currently regarded as a promising biological marker. This meta-analysis assessed elevated NLR levels in ILD for their predictive value. From inception to July 27, 2022, the Scopus, Cochrane Library, Web of Science, Embase, and PubMed databases were checked thoroughly. We used the weighted mean difference (WMD) and 95% confidence interval (CI) to compare blood NLR values between groups. We examined the relationship between poor prognoses and elevated NLR concentrations in ILD patients using odds ratios (ORs) and 95% CI. After initially including 443 studies, 24 were ultimately analyzed. Fifteen studies(ILD:n = 2,912, Non-ILD: n = 2,868) revealed that the NLR values in the ILD group were relatively high (WMD = 0.61, 95% CI 0.43-0.79, p = 0.001). Eight articles (with poor prognoses: n = 407, without poor prognoses: n = 340) indicated that ILD patients with poor prognoses had higher NLR values (WMD = 1.33, 95% CI 0.32-2.33, p = 0.01). This distinction was especially noticeable in patients with the connective tissue disease (CTD)associated with ILD subgroup (WMD = 3.53, 95% CI 1.54-5.51, p = 0.0005). The pooled OR for increased NLR levels forecasting poor prognoses of ILD was 1.09 (95% CI 1.03-1.15, p = 0.0008). Increasing blood NLR values have clinical significance and application value for detecting ILD and predicting its poor prognosis, especially in CTD patients.
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Affiliation(s)
- Fei Dong
- Respiratory and Critical Care Medicine Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
- Rheumatology and Immunology Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Leting Zheng
- Respiratory and Critical Care Medicine Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
- Rheumatology and Immunology Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Weiwei An
- Respiratory and Critical Care Medicine Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Ting Xue
- Respiratory and Critical Care Medicine Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Xiaoning Zhong
- Respiratory and Critical Care Medicine Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
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Xu Y, Mao G, Long D, Deng Z, Xin R, Zhang Z, Xue T, Liao W, Xu J, Kang Y. Author Correction: Circular RNA CREBBP modulates cartilage degradation by activating the Smad1/5 pathway through the TGFβ2/ALK1 axis. Exp Mol Med 2023:10.1038/s12276-023-01029-6. [PMID: 37296183 DOI: 10.1038/s12276-023-01029-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023] Open
Affiliation(s)
- Yiyang Xu
- Department of Joint Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, Guangzhou, 510080, Guangdong, China
- Department of Orthopaedics, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Guping Mao
- Department of Joint Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, Guangzhou, 510080, Guangdong, China
| | - Dianbo Long
- Department of Joint Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, Guangzhou, 510080, Guangdong, China
| | - Zengfa Deng
- Department of Joint Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, Guangzhou, 510080, Guangdong, China
| | - Ruobin Xin
- Department of Joint Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, Guangzhou, 510080, Guangdong, China
| | - Ziji Zhang
- Department of Joint Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, Guangzhou, 510080, Guangdong, China
| | - Ting Xue
- Fujian Provincial Hospital South Branch, Center of Health Management, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Weiming Liao
- Department of Joint Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, Guangzhou, 510080, Guangdong, China.
| | - Jie Xu
- Department of Orthopaedics, Fujian Provincial Hospital, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, Fujian, China.
| | - Yan Kang
- Department of Joint Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, Guangzhou, 510080, Guangdong, China.
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Xue T, Chen L, Li K, Lei B, Wang H, Dong F, Yang Y. Highly Enhanced Photocatalytic NO Removal and Inhibited Peroxyacetyl Nitrate Formation in Synergistic Acetaldehyde Degradation. Environ Sci Technol 2023; 57:8174-8182. [PMID: 37199463 DOI: 10.1021/acs.est.3c00103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
The coexistence of NO and CH3CHO in the air is considered to produce secondary peroxyacetyl nitrate (PAN) under sunlight irradiation, threatening the ecological environment and public health. Herein, we provide a simple strategy for the photocatalytic removal of NO and acetaldehyde (CH3CHO) on Sr2Sb2O7. In comparison with the single removal, the nearly complete removal of NO is reached by deep oxidation to NO3- with the assistance of CH3CHO. The underlying mechanism is revealed by GC-MS, in situ DRIFTS, and density functional theory calculations. The intermediates •CH3 from CH3CHO and NO2- from NO tend to bond and further oxidize to CH3ONO2, thus promoting NO removal. CH3NO2 and CH3ONO2 are the key products instead of PAN on Sr2Sb2O7 from the synergistic degradation of NO and CH3CHO. This work brings new insights into reaction pathway regulation for promoting performance and suppressing byproducts during synergistic air pollutant removal.
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Affiliation(s)
- Ting Xue
- Research Center for Carbon-Neutral Environmental & Energy Technology, Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Lvcun Chen
- Research Center for Carbon-Neutral Environmental & Energy Technology, Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
- Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, P. R. China
| | - Kanglu Li
- Research Center for Carbon-Neutral Environmental & Energy Technology, Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Ben Lei
- Research Center for Carbon-Neutral Environmental & Energy Technology, Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Hong Wang
- Research Center for Carbon-Neutral Environmental & Energy Technology, Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Fan Dong
- Research Center for Carbon-Neutral Environmental & Energy Technology, Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
- Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, P. R. China
- State Centre for International Cooperation on Designer Low-Carbon and Environmental Materials (CDLCEM), School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Yan Yang
- School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, China
- Synergy Innovation Institute of GDUT, Shantou 515041, Guangdong, China
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29
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An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Cheng J, Cheng J, Cheng YC, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dugas KV, Duyang HY, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Han Y, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Russell B, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Tung YC, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Improved Measurement of the Evolution of the Reactor Antineutrino Flux and Spectrum at Daya Bay. Phys Rev Lett 2023; 130:211801. [PMID: 37295075 DOI: 10.1103/physrevlett.130.211801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 02/10/2023] [Accepted: 04/27/2023] [Indexed: 06/12/2023]
Abstract
Reactor neutrino experiments play a crucial role in advancing our knowledge of neutrinos. In this Letter, the evolution of the flux and spectrum as a function of the reactor isotopic content is reported in terms of the inverse-beta-decay yield at Daya Bay with 1958 days of data and improved systematic uncertainties. These measurements are compared with two signature model predictions: the Huber-Mueller model based on the conversion method and the SM2018 model based on the summation method. The measured average flux and spectrum, as well as the flux evolution with the ^{239}Pu isotopic fraction, are inconsistent with the predictions of the Huber-Mueller model. In contrast, the SM2018 model is shown to agree with the average flux and its evolution but fails to describe the energy spectrum. Altering the predicted inverse-beta-decay spectrum from ^{239}Pu fission does not improve the agreement with the measurement for either model. The models can be brought into better agreement with the measurements if either the predicted spectrum due to ^{235}U fission is changed or the predicted ^{235}U, ^{238}U, ^{239}Pu, and ^{241}Pu spectra are changed in equal measure.
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Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Y-C Cheng
- Department of Physics, National Taiwan University, Taipei
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - K V Dugas
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | | | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - Y Han
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No. 100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
- The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B Russell
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Y C Tung
- Department of Physics, National Taiwan University, Taipei
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Brookhaven National Laboratory, Upton, New York 11973
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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30
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Liu J, Yang L, Yuan Y, Xue T. Water uptake in germinating pecan (Carya illinoinensis) seed. Plant Biol (Stuttg) 2023. [PMID: 37199025 DOI: 10.1111/plb.13538] [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] [Received: 01/25/2023] [Accepted: 05/09/2023] [Indexed: 05/19/2023]
Abstract
• Water uptake is the fundamental and essential requirement for seed germination. Pecan seed has a hard woody endocarp and plays an important role during water uptake. • To explore the laws of water uptake during germination, the spatiotemporal pattern of water and the effect of endocarp were analysed by water measuring, high-field magnetic resonance imaging (MRI), dye-tracing, blocking and scanning electron microscopy (SEM). • Isolated seeds finish water uptake in 8h while whole seeds take 6d, and the cracking of endocarp plays an important role. The hilum is the channel for water to enter the seed, the rest of the seed coat consist of cells covered with a waxy layer and act as a barrier that made it difficult to absorb water. The region with the highest water contents in pecan seed was the edge of the U-shaped region and the water progressively diffused from the edge of the U-shaped region to the whole kernel. • There seems to be a new water absorption stage between phase II and phase III of triphasic model of water uptake of pecan seeds. The cracking of endocarp changed the water distribution in pecan seeds, which may be the trigger for further water absorption and radicle elongation.
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Affiliation(s)
- J Liu
- Department of Civil and Architecture and Engineering, Chuzhou University, Anhui, 239000, China
| | - L Yang
- College of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou, 225009, China
| | - Y Yuan
- College of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou, 225009, China
| | - T Xue
- Department of Civil and Architecture and Engineering, Chuzhou University, Anhui, 239000, China
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31
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Xue T, Chen Y, Xu J, Du W, Kong P, Zhang X. Cyclovirobuxine D inhibits growth and progression of non‑small cell lung cancer cells by suppressing the KIF11‑CDC25C‑CDK1‑CyclinB1 G 2/M phase transition regulatory network and the NFκB/JNK signaling pathway. Int J Oncol 2023; 62:57. [PMID: 36929198 PMCID: PMC10124714 DOI: 10.3892/ijo.2023.5505] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 02/22/2023] [Indexed: 03/17/2023] Open
Abstract
Lung cancer is the leading cause of cancer‑related mortality worldwide. Non‑small cell lung cancer (NSCLC) is the most common pathological subtype of lung cancer and is associated with low 5‑year overall survival rates. Therefore, novel and effective chemotherapeutic drugs are urgently required for improving the survival outcomes of patients with lung cancer. Cyclovirobuxine D (CVB‑D) is a natural steroidal alkaloid, used for the treatment of cardiovascular diseases in Traditional Chinese Medicine. Several studies have also demonstrated the antitumor effects of CVB‑D. Therefore, in the present study, the therapeutic effects of CVB‑D in lung cancer and the underlying mechanisms were investigated using the in vivo xenograft model of NSCLC in nude mice and in vitro experiments with the NSCLC cell lines. Bioinformatics analyses of RNA‑sequencing data, and cell‑based functional assays demonstrated that CVB‑D treatment significantly inhibited in vitro and in vivo NSCLC cell proliferation, survival, invasion, migration, angiogenesis, epithelial‑to‑mesenchymal transition and G2/M phase cell cycle. CVB‑D exerted its antitumor effects by inhibiting the KIF11‑CDK1‑CDC25C‑cyclinB1 G2/M phase transition regulatory oncogenic network and the NF‑κB/JNK signaling pathway. CVB‑D treatment significantly reduced the sizes and weights and malignancy of xenograft NSCLC tumors in the nude mice. In conclusion, the present study demonstrated that CVB‑D inhibited the growth and progression of NSCLC cells by inhibiting the KIF11‑CDK1‑CDC25C‑CyclinB1 G2/M phase transition regulatory network and the NF‑κB/JNK signaling pathway. Therefore, CVB‑D is a promising drug for the treatment of NSCLC patients.
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Affiliation(s)
- Ting Xue
- State Key Laboratory for Pneumoconiosis of National Health Commission, Key Laboratory of Prevention, Treatment and Fundamental Studies for Respiratory Diseases of Shanxi, Department of Respiratory and Critical Care Medicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, P.R. China
| | - Yaodong Chen
- Department of Ultrasonic Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, P.R. China
| | - Jia Xu
- School of Medical Application Technology, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
| | - Weiqin Du
- Department of Clinical Laboratory, People's Hospital of Lüliang, Lüliang, Shanxi 033000, P.R. China
| | - Pengzhou Kong
- Key Laboratory of Cellular Physiology of The Ministry of Education and Department of Pathology, Shanxi Medical University, Yingze, Taiyuan, Shanxi 030001, P.R. China
| | - Xinri Zhang
- State Key Laboratory for Pneumoconiosis of National Health Commission, Key Laboratory of Prevention, Treatment and Fundamental Studies for Respiratory Diseases of Shanxi, Department of Respiratory and Critical Care Medicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, P.R. China
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32
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An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Chen ZY, Cheng J, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Ding XY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Duyang HY, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Han Y, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Pan HR, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Russell B, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wei W, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Precision Measurement of Reactor Antineutrino Oscillation at Kilometer-Scale Baselines by Daya Bay. Phys Rev Lett 2023; 130:161802. [PMID: 37154643 DOI: 10.1103/physrevlett.130.161802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 02/24/2023] [Indexed: 05/10/2023]
Abstract
We present a new determination of the smallest neutrino mixing angle θ_{13} and the mass-squared difference Δm_{32}^{2} using a final sample of 5.55×10^{6} inverse beta-decay (IBD) candidates with the final-state neutron captured on gadolinium. This sample is selected from the complete dataset obtained by the Daya Bay reactor neutrino experiment in 3158 days of operation. Compared to the previous Daya Bay results, selection of IBD candidates has been optimized, energy calibration refined, and treatment of backgrounds further improved. The resulting oscillation parameters are sin^{2}2θ_{13}=0.0851±0.0024, Δm_{32}^{2}=(2.466±0.060)×10^{-3} eV^{2} for the normal mass ordering or Δm_{32}^{2}=-(2.571±0.060)×10^{-3} eV^{2} for the inverted mass ordering.
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Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - Z Y Chen
- Institute of High Energy Physics, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | | | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | | | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - Y Han
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No.100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
- The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B Russell
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - W Wei
- Shandong University, Jinan
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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33
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Hu Y, Dong F, Xue T, Zhou M, Huang R, Sui F, Guo Q, Hou W, Cai W, Yuan K, Wang H, Yu D. Cover Image. Addict Biol 2023. [DOI: 10.1111/adb.13280] [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: 04/05/2023]
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Hu Y, Dong F, Xue T, Zhou M, Huang R, Sui F, Guo Q, Hou W, Cai W, Yuan K, Wang H, Yu D. Glutamate levels in the ventromedial prefrontal cortex and resting‐state functional connectivity within reward circuits in alcohol‐dependent patients. Addict Biol 2023; 28:e13272. [PMID: 37016753 DOI: 10.1111/adb.13272] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 01/17/2023] [Accepted: 02/13/2023] [Indexed: 03/06/2023]
Abstract
Great progress has been made in understanding the neural mechanisms associated with alcohol-dependent (AD) patients. However, the interactions within the reward circuits of the patients need further exploration. Glutamatergic projections from the prefrontal cortex to some brain regions are present in the reward circuit. However, little is known about the potential implications of glutamate levels in the prefrontal cortex on abnormal interactions within reward circuits in AD patients. To determine the potential roles of reward circuits in drinking, we investigated differences in resting-state functional connectivity (RSFC) and multivariate Granger causality analysis between 20 AD patients and 20 healthy controls (HC). The neuroimaging findings were then correlated with clinical variables (alcohol use disorder identification test). The ventromedial prefrontal cortex (VmPFC) is believed to play a critical role in addiction disorders, and glutamatergic projections from the prefrontal cortex to several regions of the brain are present in reward circuits. Proton magnetic resonance spectroscopy was also performed to assess the difference in glutamate levels in VmPFC between AD patients and HC. The results showed that the strength of functional connectivity in the reward circuit was generally attenuated in AD patients, and the reciprocal enhancement of activity between the right insula, left thalamus and VmPFC was found to be significantly greater in AD patients. It is worth noting that although glutamate levels in the VmPFC did not show significant differences between the two groups, the level of glutamate in the VmPFC was significantly correlated with RSFC. We hope that the current findings will help us to develop new intervention models based on the important role of the VmPFC in AD.
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Affiliation(s)
- Yiting Hu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
| | - Fang Dong
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
| | - Ting Xue
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
- School of Science Inner Mongolia University of Science and Technology Baotou China
| | - Mi Zhou
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
| | - Ruoyan Huang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
| | - Feng Sui
- Xilinguole Meng Mongolian General Hospital Xilinhaote China
| | - Qiang Guo
- Xilinguole Meng Mongolian General Hospital Xilinhaote China
| | - Wenbao Hou
- Xilinguole Meng Mongolian General Hospital Xilinhaote China
| | - Wenlong Cai
- Xilinguole Meng Mongolian General Hospital Xilinhaote China
| | - Kai Yuan
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
- Center for Brain Imaging, School of Life Science and Technology Xidian University Xi'an China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education Xi'an China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans‐Scale Life Information, School of Life Science and Technology Xidian University Xi'an China
| | - Hongde Wang
- Xilinguole Meng Mongolian General Hospital Xilinhaote China
| | - Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering Inner Mongolia University of Science and Technology Baotou China
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Yang Y, Min J, Xue T, Jiang P, Liu X, Peng R, Huang JW, Qu Y, Li X, Ma N, Tsai FC, Dai L, Zhang Q, Liu Y, Chen CC, Guo RT. Complete bio-degradation of poly(butylene adipate-co-terephthalate) via engineered cutinases. Nat Commun 2023; 14:1645. [PMID: 36964144 PMCID: PMC10039075 DOI: 10.1038/s41467-023-37374-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 03/15/2023] [Indexed: 03/26/2023] Open
Abstract
Poly(butylene adipate-co-terephthalate) (PBAT), a polyester made of terephthalic acid (TPA), 1,4-butanediol, and adipic acid, is extensively utilized in plastic production and has accumulated globally as environmental waste. Biodegradation is an attractive strategy to manage PBAT, but an effective PBAT-degrading enzyme is required. Here, we demonstrate that cutinases are highly potent enzymes that can completely decompose PBAT films in 48 h. We further show that the engineered cutinases, by applying a double mutation strategy to render a more flexible substrate-binding pocket exhibit higher decomposition rates. Notably, these variants produce TPA as a major end-product, which is beneficial feature for the future recycling economy. The crystal structures of wild type and double mutation of a cutinase from Thermobifida fusca in complex with a substrate analogue are also solved, elucidating their substrate-binding modes. These structural and biochemical analyses enable us to propose the mechanism of cutinase-mediated PBAT degradation.
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Affiliation(s)
- Yu Yang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062, Wuhan, People's Republic of China
| | - Jian Min
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062, Wuhan, People's Republic of China
| | - Ting Xue
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062, Wuhan, People's Republic of China
| | - Pengcheng Jiang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062, Wuhan, People's Republic of China
| | - Xin Liu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062, Wuhan, People's Republic of China
| | - Rouming Peng
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062, Wuhan, People's Republic of China
| | - Jian-Wen Huang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062, Wuhan, People's Republic of China
| | - Yingying Qu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062, Wuhan, People's Republic of China
| | - Xian Li
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062, Wuhan, People's Republic of China
| | - Ning Ma
- Hubei Key Laboratory of Polymer Materials, Key Laboratory for the Green Preparation and Application of Functional Materials (Ministry of Education), Hubei Collaborative Innovation Center for Advanced Organic Chemical Materials, School of Materials Science and Engineering, Hubei University, 430062, Wuhan, People's Republic of China
| | - Fang-Chang Tsai
- Hubei Key Laboratory of Polymer Materials, Key Laboratory for the Green Preparation and Application of Functional Materials (Ministry of Education), Hubei Collaborative Innovation Center for Advanced Organic Chemical Materials, School of Materials Science and Engineering, Hubei University, 430062, Wuhan, People's Republic of China
| | - Longhai Dai
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062, Wuhan, People's Republic of China
| | - Qi Zhang
- State Key Laboratory of Virology, College of Life Sciences, Wuhan University, 430072, Wuhan, People's Republic of China
| | - Yingle Liu
- State Key Laboratory of Virology, College of Life Sciences, Wuhan University, 430072, Wuhan, People's Republic of China.
| | - Chun-Chi Chen
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062, Wuhan, People's Republic of China.
| | - Rey-Ting Guo
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Hongshan Laboratory, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, 430062, Wuhan, People's Republic of China.
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36
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Yang X, Xue T, Zhao R, Liang HN, Chen DJ, Yuan B, Gu XG, Shen YH, Qin L. The hydrogen bond between tryptophan and the host molecule induced fluorescence enhancement. LUMINESCENCE 2023; 38:609-612. [PMID: 36918408 DOI: 10.1002/bio.4481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 03/10/2023] [Accepted: 03/10/2023] [Indexed: 03/16/2023]
Abstract
Tryptophan is one of important anion acids in human body, therefore, its detection is particularly important. 3,5-bis (4-pyridyl)-4-amino-1,2,4-triazole (BPAT) organic molecule was designed to be used as fluorescence detectors to detect tryptophan molecules for the interaction between the host and the guest. The BPAT shows good sensitivity and selectivity toward tryptophan compared to other amino acid molecules. The limit of detection obtained from formula 3δ/Ksv is considered to be 5.43×10-7 mol/L. We speculated that this change is mainly caused by the hydrogen bond between tryptophan and the host molecule BPAT. And the conjecture was verified by the controlled experiments with BPTA and TBZA as guest molecules.
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Affiliation(s)
- Xi Yang
- School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China
| | - Ting Xue
- XuanCheng Vocational & Technical college, Xuancheng, Anhui, P.R. China
| | - Ran Zhao
- School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China
| | - Han-Ning Liang
- School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China
| | - De-Jun Chen
- School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China
| | - Bin Yuan
- School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China
| | - Xun-Gang Gu
- Anhui Aochuang Environment Testing Co., LTD, Fuyang, Anhui, P.R. China
| | - Yong-Hui Shen
- Anhui Aochuang Environment Testing Co., LTD, Fuyang, Anhui, P.R. China
| | - Ling Qin
- School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, P. R. China
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37
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Huang Z, Xu L, Cai C, Zhou Y, Liu J, Xu Z, Zhu Z, Kang W, Cen W, Pei S, Chen D, Shi C, Wu X, Huang Y, Xu C, Yan Y, Yang Y, Xue T, He W, Hu X, Zhang Y, Chen Y, Bi C, He C, Xue L, Xiao S, Yue Z, Jiang Y, Yu JK, Jarvis E, Li G, Lin G, Zhang Q, Zhou Q. Three amphioxus reference genomes reveal gene and chromosome evolution of chordates. Proc Natl Acad Sci U S A 2023; 120:e2201504120. [PMID: 36867684 PMCID: PMC10013865 DOI: 10.1073/pnas.2201504120] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [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: 01/26/2022] [Accepted: 01/18/2023] [Indexed: 03/05/2023] Open
Abstract
The slow-evolving invertebrate amphioxus has an irreplaceable role in advancing our understanding of the vertebrate origin and innovations. Here we resolve the nearly complete chromosomal genomes of three amphioxus species, one of which best recapitulates the 17 chordate ancestor linkage groups. We reconstruct the fusions, retention, or rearrangements between descendants of whole-genome duplications, which gave rise to the extant microchromosomes likely existed in the vertebrate ancestor. Similar to vertebrates, the amphioxus genome gradually establishes its three-dimensional chromatin architecture at the onset of zygotic activation and forms two topologically associated domains at the Hox gene cluster. We find that all three amphioxus species have ZW sex chromosomes with little sequence differentiation, and their putative sex-determining regions are nonhomologous to each other. Our results illuminate the unappreciated interspecific diversity and developmental dynamics of amphioxus genomes and provide high-quality references for understanding the mechanisms of chordate functional genome evolution.
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Affiliation(s)
- Zhen Huang
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization & Fujian Key Laboratory of Developmental and Neurobiology, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
- Fujian-Macao Science and Technology Cooperation Base of Traditional Chinese Medicine-Oriented Chronic Disease Prevention and Treatment, Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian350108, China
| | - Luohao Xu
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing400715, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City, Chongqing400715, China
- Department of Neuroscience and Developmental Biology, University of Vienna, Vienna1090, Austria
| | - Cheng Cai
- The Ministry of Education Key Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang310058, China
| | - Yitao Zhou
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization & Fujian Key Laboratory of Developmental and Neurobiology, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Product of State Oceanic Administration, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
| | - Jing Liu
- Department of Neuroscience and Developmental Biology, University of Vienna, Vienna1090, Austria
| | - Zaoxu Xu
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing400715, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City, Chongqing400715, China
| | - Zexian Zhu
- The Ministry of Education Key Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang310058, China
| | - Wen Kang
- The Ministry of Education Key Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang310058, China
| | - Wan Cen
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Product of State Oceanic Administration, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
| | - Surui Pei
- Annoroad Gene Technology Co., Ltd, Beijing100180, China
| | - Duo Chen
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization & Fujian Key Laboratory of Developmental and Neurobiology, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Product of State Oceanic Administration, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
- Center of Engineering Technology Research for Microalgae Germplasm Improvement of Fujian, Southern Institute of Oceanography, Fujian Normal University, Fuzhou, Fujian350117, China
| | - Chenggang Shi
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian361102, China
| | - Xiaotong Wu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian361102, China
| | - Yongji Huang
- Institute of Oceanography, Minjiang University, Fuzhou, Fujian350108, China
| | - Chaohua Xu
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization & Fujian Key Laboratory of Developmental and Neurobiology, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
| | - Yanan Yan
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization & Fujian Key Laboratory of Developmental and Neurobiology, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
| | - Ying Yang
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization & Fujian Key Laboratory of Developmental and Neurobiology, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
| | - Ting Xue
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization & Fujian Key Laboratory of Developmental and Neurobiology, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Product of State Oceanic Administration, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
- Center of Engineering Technology Research for Microalgae Germplasm Improvement of Fujian, Southern Institute of Oceanography, Fujian Normal University, Fuzhou, Fujian350117, China
| | - Wenjin He
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization & Fujian Key Laboratory of Developmental and Neurobiology, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
| | - Xuefeng Hu
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization & Fujian Key Laboratory of Developmental and Neurobiology, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
| | - Yanding Zhang
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization & Fujian Key Laboratory of Developmental and Neurobiology, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
| | - Youqiang Chen
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization & Fujian Key Laboratory of Developmental and Neurobiology, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Product of State Oceanic Administration, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
- Center of Engineering Technology Research for Microalgae Germplasm Improvement of Fujian, Southern Institute of Oceanography, Fujian Normal University, Fuzhou, Fujian350117, China
| | - Changwei Bi
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu210096, China
| | - Chunpeng He
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu210096, China
| | - Lingzhan Xue
- Aquaculture and Genetic breeding laboratory, Freshwater Fisheries Research Institute of Fujian, Fuzhou, Fujian350002, China
| | - Shijun Xiao
- College of Plant Protection, Jilin Agricultural University, Changchun, Jilin130118, China
| | - Zhicao Yue
- Department of Cell Biology and Medical Genetics, Carson International Cancer Center, and Guangdong Key Laboratory for Genome Stability and Disease Prevention, Shenzhen University School of Medicine, Shenzhen, Guangdong518060, China
| | - Yu Jiang
- Annoroad Gene Technology Co., Ltd, Beijing100180, China
| | - Jr-Kai Yu
- Institute of Cellular and Organismic Biology, Academia Sinica, Taipei11529, Taiwan
- Marine Research Station, Institute of Cellular and Organismic Biology, Academia Sinica, Yilan26242, Taiwan
| | - Erich D. Jarvis
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY10065
- HHMI, Chevy Chase, MD20815
| | - Guang Li
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian361102, China
| | - Gang Lin
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization & Fujian Key Laboratory of Developmental and Neurobiology, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
- Annoroad Gene Technology Co., Ltd, Beijing100180, China
- Center of Engineering Technology Research for Microalgae Germplasm Improvement of Fujian, Southern Institute of Oceanography, Fujian Normal University, Fuzhou, Fujian350117, China
| | - Qiujin Zhang
- Fujian Key Laboratory of Special Marine Bio-resources Sustainable Utilization & Fujian Key Laboratory of Developmental and Neurobiology, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian350117, China
- Annoroad Gene Technology Co., Ltd, Beijing100180, China
- Center of Engineering Technology Research for Microalgae Germplasm Improvement of Fujian, Southern Institute of Oceanography, Fujian Normal University, Fuzhou, Fujian350117, China
| | - Qi Zhou
- The Ministry of Education Key Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang310058, China
- Center for Reproductive Medicine, The 2nd Affiliated Hospital, School of Medicine, Hangzhou, Zhejiang310052, China
- Evolutionary and Organismal Biology Research Center, School of Medicine, Zhejiang University, Hangzhou, Zhejiang310058, China
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Gao C, Cai X, Ma L, Xue T, Li C. Molecular characterization, expression analysis and function identification of TNFα in black rockfish (Sebastes schlegelii). Int J Biol Macromol 2023; 236:123912. [PMID: 36870626 DOI: 10.1016/j.ijbiomac.2023.123912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/04/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023]
Abstract
TNFα, as a pro-inflammatory cytokine, plays an important role in inflammation and immune homeostasis maintaining. However, the knowledge about the immune functions of teleost TNFα against bacterial infections is still limited. In this study, the TNFα was characterized from black rockfish (Sebastes schlegelii). The bioinformatics analyses showed the evolutionary conservations in sequence and structure. The expression levels of Ss_TNFα mRNA were significantly up-regulated in the spleen and intestine after Aeromonas salmonicides and Edwardsiella tarda infections, and dramatically down-regulated in PBLs after LPS and poly I:C stimulations. Meanwhile, the extremely up-regulated expressions of other inflammatory cytokines (especially for IL-1β and IL17C) were observed in the intestine and spleen after bacterial infection and down-regulations were obtained in PBLs. The significant regulation with expression patterns of Ss_TNFα and other inflammatory cytokine mRNAs illustrated the variations of immunity in different tissues and cells of black rockfish. The regulated functions of Ss_TNFα in the up/downstream signaling pathways were preliminarily verified on the transcription and translation levels. Subsequently, in vitro knockdown of Ss_TNFα in the intestine cells of black rockfish confirmed the important immune roles of Ss_TNFα. Finally, the apoptotic analyses were conducted in PBLs and intestine cells of black rockfish. The rapid increases of the apoptotic rates were obtained in both PBLs and intestine cells after treatment with rSs_TNFα, but distinct apoptotic rates at the early and late stages of apoptosis were observed between these two types of cells. The results of apoptotic analyses suggested that Ss_TNFα could trigger apoptosis of different cells in different strategies in black rockfish. Overall, the findings in this study indicated the important roles of Ss_TNFα in the immune system of black rockfish during pathogenic infection, as well as the potential function on biomarker for monitoring the health status.
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Affiliation(s)
- Chengbin Gao
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China
| | - Xin Cai
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China
| | - Le Ma
- Centre for Sustainable Aquatic Ecosystems, Harry Butler Institute, Murdoch University, Murdoch, WA 6150, Australia
| | - Ting Xue
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China
| | - Chao Li
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China.
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Hou Y, Kang J, Yue J, Li H, Xue T, Wu B. Method of high-precision free-space distance measurement for noncooperative targets. J Opt Soc Am A Opt Image Sci Vis 2023; 40:531-537. [PMID: 37133029 DOI: 10.1364/josaa.482569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Aimed at high-precision distance measurement for noncooperative targets in free space, a spatial distance measurement method is proposed. Based on the concept of optical carrier-based microwave interferometry, this method extracts distance information from the radiofrequency domain. The interference model of broadband light beams is established, and the optical interference can be eliminated by using a broadband light source. A spatial optical system with a Cassegrain telescope as the main body is designed to effectively receive the backscattered signal without cooperative targets. A free-space distance measurement system is built to verify the feasibility of the proposed method, and the results agree well with the set distances. Long-distance measurements with a resolution of 0.033 µm can be achieved, and the errors of the ranging experiments are within 0.1 µm. The proposed method has the advantages of fast processing speed, high measurement accuracy, and high immunity to disturbances as well as the potential for measurement of other physical quantities.
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Pei H, Wang J, Zhu C, Wang H, Fang M, Shu F, Wang H, Hu Y, Li B, Xue T. A novel gdmH-related gene, ghl, involved in environmental stress tolerance and vancomycin susceptibility in milk-derived Staphylococcus aureus. Food Res Int 2023; 167:112720. [PMID: 37087277 DOI: 10.1016/j.foodres.2023.112720] [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: 12/22/2022] [Revised: 02/27/2023] [Accepted: 03/14/2023] [Indexed: 03/19/2023]
Abstract
Staphylococcus aureus is one of the main microorganisms that contaminate dairy products and pickled foods, and has a great impact on economy and human health. GdmH-related proteins, as important functional units widely present in Staphylococcus species, have not been reported in S. aureus so far. In this study, we identified a gdmH-related gene, named ghl. We found that mutation of ghl gene could decrease the tolerance of environmental stresses (heat, desiccation, salt and hydrogen peroxide) of S. aureus and enhanced the capacities of biofilm formation. In addition, the ghl mutant was more sensitive to vancomycin on CAMHB solid plates but more resistant to vancomycin in CAMHB liquid medium compared to wild type RMSA24. These results indicated that ghl is an important factor to respond to environmental stress in foodborne S. aureus. This paper for the first time reported that a GdmH-related protein plays an important role in environmental tolerance, providing a new direction for the follow-up study of GdmH-related proteins, as well as a potential target gene for further research on the tolerance mechanism of Staphylococcus aureus in food processing and the control of biofilm formation.
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41
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Li W, Xue T, Mora-Perez C, Prezhdo OV. Ab initio quantum dynamics of plasmonic charge carriers. Trends in Chemistry 2023. [DOI: 10.1016/j.trechm.2023.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2023]
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Chen QL, Li MM, Xue T, Peng H, Shi J, Li YY, Duan SF, Feng F. Radiomics nomogram integrating intratumoural and peritumoural features to predict lymph node metastasis and prognosis in clinical stage IA non-small cell lung cancer: a two-centre study. Clin Radiol 2023; 78:e359-e367. [PMID: 36858926 DOI: 10.1016/j.crad.2023.02.004] [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: 07/26/2022] [Revised: 01/24/2023] [Accepted: 02/03/2023] [Indexed: 02/18/2023]
Abstract
AIM To investigate the value of a radiomics nomogram integrating intratumoural and peritumoural features in predicting lymph node metastasis and overall survival (OS) in patients with clinical stage IA non-small-cell lung cancer (NSCLC). MATERIALS AND METHODS This study retrospectively enrolled 199 patients (training cohort: 71 patients from Affiliated Tumour Hospital of Nantong University; internal validation cohort: 46 patients from Affiliated Tumour Hospital of Nantong University; external validation cohort: 82 patients from the public database). CT radiomics models were constructed based on four volumes of interest: gross tumour volume (GTV), gross and 3 mm peritumoural volume (GPTV3), gross and 6 mm peritumoural volume (GPTV6), and gross and 9 mm peritumoural volume (GPTV9). The optimal radiomics signature was further combined with independent clinical predictors to develop a nomogram. Univariable and multivariable Cox regression analysis were applied to determine the relationship between factors and OS. RESULTS GPTV6 radiomics yielded better performance than GTV, GPTV3, and, GPTV9 radiomics in the training (area under the curve [AUC], 0.81), internal validation (AUC, 0.79), and external validation cohorts (AUC, 0.71), respectively. The nomogram integrating GPTV6 radiomics and spiculation improved predictive ability, with AUCs of 0.85, 0.80, and 0.74 in three cohorts, respectively. Pathological lymph node metastasis, nomogram-predicted lymph node metastasis, and pleural indentation were independent risk predictors of OS (p<0.05). CONCLUSIONS The nomogram integrating GPTV6 radiomics features and independent clinical predictors performed well in predicting lymph node metastasis and prognosis in patients with clinical stage IA NSCLC.
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Affiliation(s)
- Q-L Chen
- Department of Radiology, Affiliated Tumour Hospital of Nantong University, Nantong, Jiangsu 226001, PR China
| | - M-M Li
- Department of Radiology, Affiliated Tumour Hospital of Nantong University, Nantong, Jiangsu 226001, PR China
| | - T Xue
- Department of Radiology, Affiliated Tumour Hospital of Nantong University, Nantong, Jiangsu 226001, PR China
| | - H Peng
- Department of Radiology, Affiliated Tumour Hospital of Nantong University, Nantong, Jiangsu 226001, PR China
| | - J Shi
- Department of Radiology, Affiliated Tumour Hospital of Nantong University, Nantong, Jiangsu 226001, PR China
| | - Y-Y Li
- Department of Radiology, Affiliated Tumour Hospital of Nantong University, Nantong, Jiangsu 226001, PR China
| | - S-F Duan
- GE Healthcare China, Shanghai City 210000, China
| | - F Feng
- Department of Radiology, Affiliated Tumour Hospital of Nantong University, Nantong, Jiangsu 226001, PR China.
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Chen L, Li K, Yang Y, Xue T, Wang H, Lei B, Sheng J, Dong F, Sun Y. Amorphous SnO 2 decorated ZnSn(OH) 6 promotes interfacial hydroxyl polarization for deep photocatalytic toluene mineralization. J Hazard Mater 2023; 444:130436. [PMID: 36435041 DOI: 10.1016/j.jhazmat.2022.130436] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/07/2022] [Accepted: 11/17/2022] [Indexed: 06/16/2023]
Abstract
Surface hydroxyl groups play a decisive role in the generation of hydroxyl radicals with stronger oxidizing ability, which is indispensable in photocatalytic VOCs removal, especially under the condition of low humidity. In this work, non-noble amorphous SnO2 decorated ZnSn(OH)6 (ZSH) was synthesized by an in-situ method. The charge transport, reactant activation and hydroxyl polarization are enhanced through decoration of amorphous SnO2 on ZSH. Combined with the designed experiment, in-situ EPR, DTF calculation and in-situ DRIFTS, the role and mechanism of interfacial hydroxyl polarization are revealed on SnO2 decorated ZnSn(OH)6. Compared with pristine ZSH and noble-metal modified ZSH, the toluene degradation rate of amorphous SnO2 decorated ZSH is increased by 13.0 and 3.8 times, and the toluene mineralization rate is increased by 5.2 and 2.2 times. The ZSH-24 sample maintains a high toluene degradation activity after 6 cyclic utilization without catalyst deactivation. This work emphasizes the role of non-noble metal and the origin of hydroxyl group polarization on ZnSn(OH)6 for photocatalytic VOCs mineralization.
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Affiliation(s)
- Lvcun Chen
- Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313000, China; Institute of Fundamental and Frontier Sciences & School of Resouces and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Kanglu Li
- Institute of Fundamental and Frontier Sciences & School of Resouces and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China; College of Architecture and Environment, Sichuan University, Chengdu 610065, China
| | - Yan Yang
- School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, Guangdong, China; Jieyang Branch of Chemistry and Chemical Engineering Guangdong Laboratory (Rongjiang Laboratory), Jieyang 515200, China; Synergy Innovation Institute of GDUT, Shantou 515041, Guangdong, China
| | - Ting Xue
- Institute of Fundamental and Frontier Sciences & School of Resouces and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Hong Wang
- Institute of Fundamental and Frontier Sciences & School of Resouces and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Ben Lei
- Institute of Fundamental and Frontier Sciences & School of Resouces and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jianping Sheng
- Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313000, China; Institute of Fundamental and Frontier Sciences & School of Resouces and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Fan Dong
- Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313000, China; Institute of Fundamental and Frontier Sciences & School of Resouces and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Yanjuan Sun
- Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313000, China; Institute of Fundamental and Frontier Sciences & School of Resouces and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China.
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Chen D, Li H, Chen J, Han Y, Zheng X, Xiao Y, Chen X, Chen T, Chen J, Chen Y, Xue T. Combined analysis of chromatin accessibility and gene expression profiles provide insight into Fucoxanthin biosynthesis in Isochrysis galbana under green light. Front Microbiol 2023; 14:1101681. [PMID: 36846787 PMCID: PMC9950639 DOI: 10.3389/fmicb.2023.1101681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 01/17/2023] [Indexed: 02/12/2023] Open
Abstract
Isochrysis galbana, as a potential accumulator of fucoxanthin, has become a valuable material to develop functional foods for humans. Our previous research revealed that green light effectively promotes the accumulation of fucoxanthin in I. galbana, but there is little research on chromatin accessibility in the process of transcriptional regulation. This study was conducted to reveal the mechanism of fucoxanthin biosynthesis in I. galbana under green light by analyzing promoter accessibility and gene expression profiles. Differentially accessible chromatin regions (DARs)-associated genes were enriched in carotenoid biosynthesis and photosynthesis-antenna protein formation, including IgLHCA1, IgLHCA4, IgPDS, IgZ-ISO, IglcyB, IgZEP, and IgVDE. The motifs for the MYB family were also identified as candidates controlling metabolic regulation responses to green light culture of I. galbana, including IgMYB1, IgMYB2, IgMYB33, IgMYB42, IgMYB98, IgMYB118, and IgMYB119. The results of differential expression analysis and WGCNA showed that several genes or transcription factors (TFs) related to carotenoid metabolism and photosynthesis exhibited a higher expression level and were significantly upregulated in A-G5d compared with A-0d and A-W5d, including IgMYB98, IgLHCA1, IgLHCX2, IgLHCB4, and IgLHCB5. This suggests that upregulation of these genes by green light may be the key factor leading to fucoxanthin accumulation by regulating the photosynthesis-antenna protein pathway. An integrated analysis of ATAC-seq and RNA-seq showed that 3 (IgphoA, IgPKN1, IgOTC) of 34 DARs-associated genes displayed obvious changes in their chromatin regions in ATAC-seq data, suggesting that these genes specific for green light may play a key role in fucoxanthin biosynthesis in I. galbana through a complex regulatory network of multiple metabolic pathways interacting with each other. These findings will facilitate in-depth understanding the molecular regulation mechanisms of fucoxanthin in I. galbana and its role in response to green light regulation, providing technical support for the construction of high fucoxanthin content strains.
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Affiliation(s)
| | | | | | - Yuying Han
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration, Center of Engineering Technology Research for Microalga Germplasm Improvement of Fujian, Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization, Key Laboratory of Developmental and Neural Biology, Southern Institute of Oceanography, College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Xuehai Zheng
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration, Center of Engineering Technology Research for Microalga Germplasm Improvement of Fujian, Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization, Key Laboratory of Developmental and Neural Biology, Southern Institute of Oceanography, College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Yixin Xiao
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration, Center of Engineering Technology Research for Microalga Germplasm Improvement of Fujian, Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization, Key Laboratory of Developmental and Neural Biology, Southern Institute of Oceanography, College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Xupeng Chen
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration, Center of Engineering Technology Research for Microalga Germplasm Improvement of Fujian, Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization, Key Laboratory of Developmental and Neural Biology, Southern Institute of Oceanography, College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Tao Chen
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration, Center of Engineering Technology Research for Microalga Germplasm Improvement of Fujian, Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization, Key Laboratory of Developmental and Neural Biology, Southern Institute of Oceanography, College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Jiannan Chen
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration, Center of Engineering Technology Research for Microalga Germplasm Improvement of Fujian, Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization, Key Laboratory of Developmental and Neural Biology, Southern Institute of Oceanography, College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Youqiang Chen
- The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration, Center of Engineering Technology Research for Microalga Germplasm Improvement of Fujian, Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization, Key Laboratory of Developmental and Neural Biology, Southern Institute of Oceanography, College of Life Sciences, Fujian Normal University, Fuzhou, China
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Yan R, Ma H, Jiang L, Guo S, Shi Y, Sheng X, Zhang Y, Spiess PE, Liu T, Xue T, Chen X, Li Z, An X, Yao K, Zhou F, Han H. First-line programmed death receptor-1 (PD-1) inhibitor and epidermal growth factor receptor (EGFR) blockade, combined with platinum-based chemotherapy, for stage IV penile cancer. BJU Int 2023; 131:198-207. [PMID: 35704436 DOI: 10.1111/bju.15828] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
OBJECTIVES To evaluate the anti-tumour activity and safety of anti-programmed death receptor-1 (PD-1) antibody plus epidermal growth factor receptor blockade combined with platinum-based chemotherapy (PEP) as first-line therapy for stage IV penile squamous cell carcinoma (PSCC). PATIENTS AND METHODS We conducted a retrospective review of 17 patients with stage IV PSCC undergoing first-line PEP at Sun Yat-sen University Cancer Center between January 2018 and September 2021. Clinical responses were assessed using the Response Evaluation Criteria in Solid Tumours (RECIST) version 1.1. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method. Adverse events (AEs) were graded according to Common Terminology Criteria for Adverse Events version 5.0. RESULTS Of 17 patients who received first-line PEP, 13 were observed to have partial responses. Twelve patients subsequently received consolidated surgery. Nine of these achieved pN0 status, of whom six with locally advanced PSCC achieved pathological complete response. The median (range) follow-up time was 24.87 (3.63-29.40) months. Median PFS and median OS were not reached, with 2-year PFS and OS rates being 68.4% (95% confidence interval [CI] 48.7-96.1) and 62.9% (95% CI 41.6-95), respectively. Eight patients experienced Grade 3 or 4 treatment-related AEs. No Grade 5 AEs or death associated with treatment was observed. CONCLUSIONS Anti-PD-1 antibody plus epidermal growth factor receptor blockade and platinum-based chemotherapy showed promising anti-tumour activity, acceptable toxicity, and satisfying long-term survival for stage IV PSCC. Larger clinical trials are needed to validate our findings.
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Affiliation(s)
- Ru Yan
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, China
| | - Huali Ma
- State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, China.,Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Lijuan Jiang
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, China
| | - Shengjie Guo
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, China
| | - Yanxia Shi
- State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xinan Sheng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genitourinary Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yijun Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, China.,Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Philippe E Spiess
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Tingyu Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, China
| | - Ting Xue
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, China
| | - Xiaofeng Chen
- Department of Urology, The First People's Hospital, Chenzhou, China
| | - Zhiyong Li
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, China
| | - Xin An
- State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Kai Yao
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, China
| | - Fangjian Zhou
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, China
| | - Hui Han
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, China
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Li Z, Xue T, Jietian J, Xiong L, Wei L, Guo S, Han H. Infiltrating pattern and prognostic value of tertiary lymphoid structures, and predicting the efficacy of anti-PD-1 combination therapy in patients with penile cancer. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00675-9] [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: 02/12/2023]
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47
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Liu Y, Ge X, Li C, Xue T. Derivation and characterization of new cell line from intestine of turbot (Scophthalmus maximus). In Vitro Cell Dev Biol Anim 2023; 59:153-162. [PMID: 36809593 PMCID: PMC10073165 DOI: 10.1007/s11626-022-00746-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 12/09/2022] [Indexed: 02/23/2023]
Abstract
A continuous intestine cell line from turbot (Scophthalmus maximus) designated as SMI was established utilizing the tissue explant technique. Primary SMI cell was cultured at 24 °C in a medium with 20% fetal bovine serum (FBS), then subcultured in 10% FBS after 10 passages. Impacts of medium or temperature on the growth of SMI were examined and the results indicated it grew well in DMEM supplemented with 10% FBS at 24 °C. The SMI cell line was subcultured more than 60 times. Karyotyping, chromosome number, and ribosomal RNA genotyping analysis revealed that SMI had a modal diploid chromosome number of 44 and originated from turbot. After being transfected with pEGFP-N1 and FAM-siRNA, a large number of green fluorescence signals were observed in SMI, indicating that SMI could be used as an ideal platform to explore gene function in vitro. In addition, the expression of epithelium-associated genes such as itga6, itgb4, gja1, claudin1, zo-1, and E-cadherin in SMI suggested the SMI had some characteristics of epidermal cells. The upregulation of immune-associated genes such as TNF-β, NF-κB, and IL-1β in SMI after stimulation with pathogen-associated molecular patterns suggested the SMI might exhibit immune functions similar to the intestinal epithelium in vivo.
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Affiliation(s)
- Yiping Liu
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao, 266109, China
| | - Xuefeng Ge
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao, 266109, China
| | - Chao Li
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao, 266109, China.
| | - Ting Xue
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao, 266109, China.
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48
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Cao M, Xue T, Huo H, Zhang X, Wang NN, Yan X, Li C. Spatial transcriptomes and microbiota reveal immune mechanism that respond to pathogen infection in the posterior intestine of Sebastes schlegelii. Open Biol 2023; 13:220302. [PMID: 36974664 PMCID: PMC9944294 DOI: 10.1098/rsob.220302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
The intestine is a site of immune cell priming at birth. Therefore, spatial transcriptomes were performed to define how the transcriptomic landscape was spatially organized in the posterior intestine of Sebastes schlegelii following Edwardsiella piscicida infection. In the healthy condition, we identified a previously unappreciated molecular regionalization of the posterior intestine. Following bacterial infection, most immune-related genes were identified in mucosa layer. Moreover, investigation of immune-related genes and genes in immune-related KEGG pathways based on spatial transcriptomes shed light on which sections of these genes are in the posterior intestine. Meanwhile, the high expression of genes related to regeneration also indicated that the posterior intestine was responding to the invasion of pathogens by constantly proliferating new cells. In addition, the increasing microbiota communities indicated that these bacteria maintained posterior intestine integrity and shaped the mucosal immune system. Taken together, spatial transcriptomes and microbiota compositions have significant implications for understanding the immune mechanism that responds to E. piscicida infection in the posterior intestine of S. schlegelii, which also provides a theoretical basis for the spatial distribution of immune genes and changes in bacterial flora in other teleosts in the process of resisting pathogens.
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Affiliation(s)
- Min Cao
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, People's Republic of China
| | - Ting Xue
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, People's Republic of China
| | - Huijun Huo
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, People's Republic of China
| | - Xiaoyan Zhang
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, People's Republic of China
| | - Ning Ning Wang
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, People's Republic of China
| | - Xu Yan
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, People's Republic of China
| | - Chao Li
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266109, People's Republic of China
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49
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Zhang G, Liu H, Xue T, Kong X, Tian D, Luo L, Yang Y, Xu K, Wei Y, Zhuang Z. Ribavirin extends the lifespan of Caenorhabditis elegans through AMPK-TOR Signaling. Eur J Pharmacol 2023; 946:175548. [PMID: 36706801 DOI: 10.1016/j.ejphar.2023.175548] [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: 11/22/2022] [Revised: 01/20/2023] [Accepted: 01/24/2023] [Indexed: 01/26/2023]
Abstract
Aging is a process accompanied by widespread degenerative changes which are a major cause of human disease and disability. One goal of aging research is to develop interventions or drugs that can extend organism lifespan and treat age-related diseases. Here, we report the identification of a broad spectrum anti-viral agent, ribavirin, as a potential pharmacological aging intervention. Ribavirin extended the lifespan and healthspan of Caenorhabditis elegans by inhibiting Target of Rapamycin (TOR) signaling and activating AMP-activated protein kinase (AMPK). Moreover, our data indicate that ribavirin activated AMPK by reducing the levels of adenosine triphosphate (ATP) and lysosomal v-ATPase-Ragulator-AXIN Complex. Thus, our studies successfully identify ribavirin as a potential anti-aging drug, and indicate that its anti-aging effect is mediated via AMPK-TOR signaling.
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Affiliation(s)
- Ganlan Zhang
- School of Pharmacy & School of Biological and Food Engineering, Changzhou University, Changzhou, 213164, China
| | - Hui Liu
- School of Pharmacy & School of Biological and Food Engineering, Changzhou University, Changzhou, 213164, China
| | - Ting Xue
- School of Pharmacy & School of Biological and Food Engineering, Changzhou University, Changzhou, 213164, China
| | - Xiangming Kong
- Changzhou Railway Higher Vocational and Technical School, Changzhou, 213011, China
| | - Dongmei Tian
- School of Pharmacy & School of Biological and Food Engineering, Changzhou University, Changzhou, 213164, China
| | - Libo Luo
- Changzhou Traditional Chinese Medicine Hospital, Changzhou, 213004, China
| | - Yanhua Yang
- Changzhou No.7 People's Hospital, Changzhou, 213011, China
| | - Keqing Xu
- Changzhou No.7 People's Hospital, Changzhou, 213011, China
| | - Youheng Wei
- College of Bioscience and Biotechnology, Yangzhou University, Yangzhou, 225009, China
| | - Ziheng Zhuang
- School of Pharmacy & School of Biological and Food Engineering, Changzhou University, Changzhou, 213164, China; Changzhou Traditional Chinese Medicine Hospital, Changzhou, 213004, China.
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50
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Ma K, Wang H, Lv Z, Hu Y, Wang H, Shu F, Zhu C, Xue T. The Two-Component System CpxRA Affects Antibiotic Susceptibility and Biofilm Formation in Avian Pathogenic Escherichia coli. Animals (Basel) 2023; 13:ani13030383. [PMID: 36766272 PMCID: PMC9913434 DOI: 10.3390/ani13030383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/11/2023] [Accepted: 01/19/2023] [Indexed: 01/24/2023] Open
Abstract
Avian pathogenic Escherichia coli (APEC) is one of the common extraintestinal infectious disease pathogens in chickens, geese, and other birds. It can cause a variety of infections, and even the death of poultry, causing enormous economic losses. However, the misuse and abuse of antibiotics in the poultry industry have led to the development of drug resistance in the gut microbes, posing a challenge for the treatment of APEC infections. It has been reported that the CpxRA two-component system has an effect on bacterial drug resistance, but the specific regulatory mechanism remains unclear. In this study, the regulatory mechanism of CpxRA on APEC biofilm formation and EmrKY efflux pump was investigated. The cpxRA knockout strain of E. coli APEC40 was constructed, and the molecular regulatory mechanism of CpxR on biofilms and efflux pump-coding genes were identified by biofilm formation assays, drug susceptibility test, real-time reverse transcription quantitative PCR, and electrophoretic mobility shift assay (EMSA). The results indicated that CpxR can directly bind to the promoter region of emrKY and negatively regulate the sensitivity of bacteria to ofloxacin and erythromycin. These results confirm the important regulatory role of the CpxRA two-component system under antibiotic stress in APEC.
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