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Rezaeian P, Shufelt C, Wei J, Pacheco C, Cook-Wiens G, Berman D, Tamarappoo B, Thomson L, Nelson M, Anderson R, Petersen J, Handberg E, Pepine C, Merz CB. Arterial stiffness assessment in coronary microvascular dysfunction and heart failure with preserved ejection fraction: An initial report from the WISE-CVD continuation study. Am Heart J Plus 2024; 41:100390. [PMID: 38600957 PMCID: PMC11004063 DOI: 10.1016/j.ahjo.2024.100390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 03/29/2024] [Indexed: 04/12/2024]
Abstract
Background Heart failure with preserved ejection fraction (HFpEF) is the most common cardiac complication in patients with coronary microvascular dysfunction (CMD), yet its underlying pathways remain unclear. Aortic pulse-wave velocity (aPWV) is an indicator of large artery stiffness and a predictor for cardiovascular disease. However, aPWV in CMD and HFpEF is not well characterized and may provide understanding of disease progression. Methods Among participants without obstructive coronary artery disease, we evaluated 51 women with suspected CMD and 20 women and men with evidence of HFpEF. All participants underwent aPWV measurement (SphygmoCor, Atcor Medical) with higher aPWV indicating greater vascular stiffness. Cardiac magnetic resonance imaging (CMRI) assessed left ventricular (LV) ejection fraction, CMD via myocardial perfusion reserve index (MPRI), and ventricular remodeling via LV mass-volume ratio. . Statistical analysis was performed using Wilcoxon rank sum tests, Pearson correlations and linear regression analysis. Results Compared to the suspected CMD group, the HFpEF participants were older (65 ± 12 vs 56 ± 11 yrs., p = 0.002) had higher BMI (31.0 ± 4.3 vs 27.8 ± 6.7 kg/m2, p = 0.013), higher aPWV (10.5 ± 2.0 vs 8.0 ± 1.6 m/s, p = 0.05) and lower MPRI (1.5 ± 0.3 vs1.8 ± 0.3, p = 0.02), but not remodeling. In a model adjusted for cardiovascular risk factors, the HFpEF group had a lower LVEF (estimate -4.78, p = 0.0437) than the suspected CMD group. Conclusions HFpEF participants exhibit greater arterial stiffness and lower myocardial perfusion reserve, with lower LVEF albeit not remodeling, compared to suspected CMD participants. These findings suggest arterial stiffness may contribute to progression from CMD to HFpEF. Prospective work is needed and ongoing.
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Affiliation(s)
- P. Rezaeian
- Torrance Memorial Medical Center-A Cedars-Sinai Affiliate, Torrance, CA, USA
| | - C.L. Shufelt
- Division of General Internal Medicine, Mayo Clinic, Jacksonville, FL, USA
| | - J. Wei
- Barbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA
| | - C. Pacheco
- Hôspital Pierre-Boucher, Centre Hospitalier de l'Université de Montréal, Université de Montreal, QC, Canada
| | - G. Cook-Wiens
- Torrance Memorial Medical Center-A Cedars-Sinai Affiliate, Torrance, CA, USA
| | - D. Berman
- Taper Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - B. Tamarappoo
- Taper Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - L.E. Thomson
- Taper Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - M.D. Nelson
- The University of Texas at Arlington, Arlington, TX, USA
| | - R.D. Anderson
- Division of Cardiology, Department of Medicine, University of Florida, Gainesville, FL, USA
| | - J. Petersen
- Division of Cardiology, Department of Medicine, University of Florida, Gainesville, FL, USA
| | - E.M. Handberg
- Division of Cardiology, Department of Medicine, University of Florida, Gainesville, FL, USA
| | - C.J. Pepine
- Division of Cardiology, Department of Medicine, University of Florida, Gainesville, FL, USA
| | - C.N. Bairey Merz
- Barbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA
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Meng Q, Liu D, Huang J, Yang X, Li H, Yang Z, Wang J, Gao W, Li Y, Liu R, Yang L, Wei J. RGIE: A Gene Selection Method Related to Radiotherapy Resistance in Head and Neck Squamous Cell Carcinoma. Curr Radiopharm 2024:CRP-EPUB-139379. [PMID: 38532606 DOI: 10.2174/0118744710282465240315053136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 02/12/2024] [Accepted: 02/21/2024] [Indexed: 03/28/2024]
Abstract
BACKGROUND Head and Neck Squamous Cell Carcinoma (HNSCC) is a malignant tumor with a high degree of malignancy, invasiveness, and metastasis rate. Radiotherapy, as an important adjuvant therapy for HNSCC, can reduce the postoperative recurrence rate and improve the survival rate. Identifying the genes related to HNSCC radiotherapy resistance (HNSCC-RR) is helpful in the search for potential therapeutic targets. However, identifying radiotherapy resistance-related genes from tens of thousands of genes is a challenging task. While interactions between genes are important for elucidating complex biological processes, the large number of genes makes the computation of gene interactions infeasible. METHODS We propose a gene selection algorithm, RGIE, which is based on ReliefF, Gene Network Inference with Ensemble of Trees (GENIE3) and Feature Elimination. ReliefF was used to select a feature subset that is discriminative for HNSCC-RR, GENIE3 constructed a gene regulatory network based on this subset to analyze the regulatory relationship among genes, and feature elimination was used to remove redundant and noisy features. RESULTS Nine genes (SPAG1, FIGN, NUBPL, CHMP5, TCF7L2, COQ10B, BSDC1, ZFPM1, GRPEL1) were identified and used to identify HNSCC-RR, which achieved performances of 0.9730, 0.9679, 0.9767, and 0.9885 in terms of accuracy, precision, recall, and AUC, respectively. Finally, qRT-PCR validated the differential expression of the nine signature genes in cell lines (SCC9, SCC9-RR). CONCLUSION RGIE is effective in screening genes related to HNSCC-RR. This approach may help guide clinical treatment modalities for patients and develop potential treatments.
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Affiliation(s)
- Qingzhe Meng
- Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
- School of Stomatology, Heilongjiang Key Lab of Oral Biomedicine Materials and Clinical Application & Experimental Center for Stomatology Engineering, Jiamusi University, Jiamusi, China
| | - Dunhui Liu
- School of Computer Science and Technology, Xidian University, Xi'an, China
| | - Junhong Huang
- Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Xinjie Yang
- Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Huan Li
- Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Zihui Yang
- Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Jun Wang
- Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Wanpeng Gao
- Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Yahui Li
- Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Rong Liu
- Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Liying Yang
- School of Computer Science and Technology, Xidian University, Xi'an, China
| | - Jianhua Wei
- Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
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Wei J, Yan H, Shao X, Zhao L, Han L, Yan P, Wang S. A machine learning-based hybrid recommender framework for smart medical systems. PeerJ Comput Sci 2024; 10:e1880. [PMID: 38435594 PMCID: PMC10909219 DOI: 10.7717/peerj-cs.1880] [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: 12/07/2023] [Accepted: 01/24/2024] [Indexed: 03/05/2024]
Abstract
This article presents a hybrid recommender framework for smart medical systems by introducing two methods to improve service level evaluations and doctor recommendations for patients. The first method uses big data techniques and deep learning algorithms to develop a registration review system in medical institutions. This system outperforms conventional evaluation methods, thus achieving higher accuracy. The second method implements the term frequency and inverse document frequency (TF-IDF) algorithm to construct a model based on the patient's symptom vector space, incorporating score weighting, modified cosine similarity, and K-means clustering. Then, the alternating least squares (ALS) matrix decomposition and user collaborative filtering algorithm are applied to calculate patients' predicted scores for doctors and recommend top-performing doctors. Experimental results show significant improvements in metrics called precision and recall rates compared to conventional methods, making the proposed approach a practical solution for department triage and doctor recommendation in medical appointment platforms.
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Affiliation(s)
- Jianhua Wei
- The Bidding Procurement Office, The First Affiliated Hospital of Xi’an Medical University, Xian, China
| | - Honglin Yan
- Department of Gastroenterology, The First Affiliated Hospital of Xi’an Medical University, Xian, China
| | - Xiaoli Shao
- Hospital Evaluation and Accreditation Office, The First Affiliated Hospital of Xi’an Medical University, Xian, China
| | - Lili Zhao
- Department of Scientific Research, The First Affiliated Hospital of Xi’an Medical University, Xi’an, China
| | - Lin Han
- Hospital Evaluation and Accreditation Office, The First Affiliated Hospital of Xi’an Medical University, Xian, China
| | - Peng Yan
- The Bidding Procurement Office, The First Affiliated Hospital of Xi’an Medical University, Xian, China
| | - Shengyu Wang
- Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Xi’an Medical University, Xi’an, China
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Huang J, Li H, Yang Z, Liu R, Li Y, Hu Y, Zhao S, Gao X, Yang X, Wei J. SALL4 promotes cancer stem-like cell phenotype and radioresistance in oral squamous cell carcinomas via methyltransferase-like 3-mediated m6A modification. Cell Death Dis 2024; 15:139. [PMID: 38355684 PMCID: PMC10866932 DOI: 10.1038/s41419-024-06533-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 01/27/2024] [Accepted: 02/02/2024] [Indexed: 02/16/2024]
Abstract
Radioresistance imposes a great challenge in reducing tumor recurrence and improving the clinical prognosis of individuals having oral squamous cell carcinoma (OSCC). OSCC harbors a subpopulation of CD44(+) cells that exhibit cancer stem-like cell (CSC) characteristics are involved in malignant tumor phenotype and radioresistance. Nevertheless, the underlying molecular mechanisms in CD44( + )-OSCC remain unclear. The current investigation demonstrated that methyltransferase-like 3 (METTL3) is highly expressed in CD44(+) cells and promotes CSCs phenotype. Using RNA-sequencing analysis, we further showed that Spalt-like transcription factor 4 (SALL4) is involved in the maintenance of CSCs properties. Furthermore, the overexpression of SALL4 in CD44( + )-OSCC cells caused radioresistance in vitro and in vivo. In contrast, silencing SALL4 sensitized OSCC cells to radiation therapy (RT). Mechanistically, we illustrated that SALL4 is a direct downstream transcriptional regulation target of METTL3, the transcription activation of SALL4 promotes the nuclear transport of β-catenin and the expression of downstream target genes after radiation therapy, there by activates the Wnt/β-catenin pathway, effectively enhancing the CSCs phenotype and causing radioresistance. Herein, this study indicates that the METTL3/SALL4 axis promotes the CSCs phenotype and resistance to radiation in OSCC via the Wnt/β-catenin signaling pathway, and provides a potential therapeutic target to eliminate radioresistant OSCC.
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Affiliation(s)
- Junhong Huang
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Department of Oral & Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Huan Li
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Department of Oral & Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Zihui Yang
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Department of Oral & Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Rong Liu
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Department of Oral & Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Yahui Li
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Department of Oral & Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Yating Hu
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Department of Oral & Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Shengnan Zhao
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Department of Oral & Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Xiang Gao
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Department of Oral & Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Xinjie Yang
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Department of Oral & Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jianhua Wei
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Department of Oral & Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China.
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Nie J, Tang X, Wei J, Li Z, Zhou B, Dai X, Wu W, Ni Z. Fluorescent Biomass-Based Platform for Detection of ClO - in Cells and Water-Soluble Systems. Appl Spectrosc 2024; 78:217-226. [PMID: 38190986 DOI: 10.1177/00037028231219524] [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: 01/10/2024]
Abstract
The generation and presence of excessive hypochlorous acid derivative ionic form (ClO-) could cause various diseases, such as arteriosclerosis, DNA damage, and cardiovascular illness. It is a critical need to develop a highly sensitive sensor for reliable detection of ClO- in cells and water-soluble systems. In this work, a hydroxyl group has been introduced into the compound 2-amino-3-(((E)-4-(2-(2-(2-hydroxyethoxy)ethyl)-1,3-dioxo-2,3-dihydro-1H-benzo[de]isoquinolin-6-yl)benzylidene)amino)maleonitrile (NDC) to increase its solubility in water, at the same time, the hydrazone unit was designed as a specific recognition group for the "off-on" fluorescence probe of ClO-. The probe NDC presents high selectivity, sensitivity, anti-interference, and low detection limit (67 nM) for ClO-. The recognition mechanism that ClO- breaks the C=N bond and forms the fluorescent compound 4-(2-(2-(2-hydroxyethoxy)ethyl)-1,3-dioxo-2,3-dihydro-1H-benzo[de]isoquinolin-6-yl)benzaldehyde (ND-3) has been confirmed by time-of-flight mass spectrometry. The probe NDC presents a good performance in the actual test of water samples and can be designed as the test papers for the quick and convenient detection of ClO- range from 0 to 1 μM. Moreover, the practical application was demonstrated by the successful imaging of endogenous and exogenous ClO- in HeLa cells. Our fluorescent biomass-based platform opens vast possibilities for repeatability, sensitivity, and selectivity detection of ClO- in cells and water-soluble systems.
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Affiliation(s)
- Jing Nie
- Institute of Building Intelligence, Jiangsu Vocational Institute of Architectural Technology, Xuzhou, Jiangsu, China
- School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou, Jiangsu, China
| | - Xinxue Tang
- School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou, Jiangsu, China
- Department of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China
| | - Jianhua Wei
- School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou, Jiangsu, China
| | - Zebiao Li
- Department of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China
| | - Binbin Zhou
- Shenzhen Institute of Advanced Electronic Materials, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xi Dai
- School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou, Jiangsu, China
- School of Materials Science and Engineering, Xuzhou College of Industrial Technology, Xuzhou, Jiangsu, China
| | - Wenli Wu
- School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
| | - Zhonghai Ni
- School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou, Jiangsu, China
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Wang T, Zhang Q, Fang J, Lai Z, Feng R, Wei J. Active fault-tolerant control for the dual-valve hydraulic system with unknown dead-zone. ISA Trans 2024; 145:399-411. [PMID: 38142174 DOI: 10.1016/j.isatra.2023.11.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 10/23/2023] [Accepted: 11/24/2023] [Indexed: 12/25/2023]
Abstract
This paper proposes a method for high-performance motion control of the dual-valve hydraulic system subject to parameter and model uncertainties, unknown proportional valve dead-zone, and servo valve fault. By constructing a detailed dual-valve fault system model (DFSM), a disturbance observer-based adaptive robust fault-tolerant controller is proposed via the backstepping method. This controller integrates a model-based fault detection algorithm for real-time fault monitoring and subsequent controller reconfiguration. Additionally, the DFSM-based adaptive robust control (ARC) technique is applied to handle the unknown dead-zone problem and other nonlinearities, ensuring precise control. Once the servo valve fault occurs, a nonlinear observer estimates the fault and collaborates with the ARC to establish a reconfigured controller, thereby maintaining motion control. The effectiveness of the proposed method has been experimentally verified.
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Affiliation(s)
- Tianzhu Wang
- The State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
| | - Qiang Zhang
- Hangzhou Doubltech Electro-Hydraulic Engineering Co., Ltd., Hangzhou 310052, China
| | - Jinhui Fang
- The State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China.
| | - Zhenyu Lai
- Hangzhou Doubltech Electro-Hydraulic Engineering Co., Ltd., Hangzhou 310052, China
| | - Ruilin Feng
- Hangzhou Doubltech Electro-Hydraulic Engineering Co., Ltd., Hangzhou 310052, China
| | - Jianhua Wei
- The State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
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Berg L, Dave A, Ye H, Wei J, Pattanakamjonkit P, Farah M, Yoong W. Obstetric outcomes in Jehovah's Witnesses: case series over nine years in a London teaching hospital. Arch Gynecol Obstet 2024; 309:475-481. [PMID: 36735030 DOI: 10.1007/s00404-023-06940-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 01/17/2023] [Indexed: 02/04/2023]
Abstract
OBJECTIVES The aim of the study is to assess obstetric and fetal outcomes of Jehovah's Witnesses (JWs) mothers in an inner city teaching hospital, as well as to examine the acceptance rates of various blood fractions and blood transfusion alternatives. METHODS Case series to evaluate the maternal and fetal outcomes of JWs over a nine period between 2013 and 2021. RESULTS There were 146 pregnancies extracted from our database, of which 10 were early pregnancy losses. Data from 136 deliveries > 24 weeks' gestation were assessed, with a mean maternal age and gestational age of 30.26 (± 5.4) years and 38.7 (± 5.3) weeks, respectively. 57% had normal vaginal deliveries, 8% had instrumental births and 35% had caesarean births. Mean estimated blood loss at caesarean was 575 (± 305.6) mls, while the overall mean estimated loss was 427.8 (± 299.8) mls. Cell salvage was performed in all caesarean sections but autologous transfusion was only necessary for 26%. Consultant presence was documented in 62% of caesarean births. The mean birthweight and 5-min Apgar scores were 3.31 (± 0.05) kg and 9.1 (± 0.09), respectively. There were no maternal deaths or admissions to the adult intensive care unit and the most serious complication was a uterine rupture following a trial of scar, after which the baby required cooling for hypoxic ischaemic encephalopathy. CONCLUSIONS Pregnant JWs received obstetric care led by senior clinicians, with optimisation of haematinics, minimizing of blood loss at delivery and access to technology such as cell salvage.
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Affiliation(s)
- L Berg
- Department of Obstetrics and Gynaecology, North Middlesex University Hospital, London, UK
| | - A Dave
- Department of Obstetrics and Gynaecology, North Middlesex University Hospital, London, UK
| | - H Ye
- Department of Obstetrics and Gynaecology, North Middlesex University Hospital, London, UK
| | - J Wei
- St. George's International School of Medicine, St. George's, Grenada
| | | | - M Farah
- Department of Obstetrics and Gynaecology, North Middlesex University Hospital, London, UK
| | - W Yoong
- Department of Obstetrics and Gynaecology, North Middlesex University Hospital, London, UK.
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Liu T, Hou K, Li J, Han T, Liu S, Wei J. Alzheimer's Disease and Aging Association: Identification and Validation of Related Genes. J Prev Alzheimers Dis 2024; 11:196-213. [PMID: 38230733 DOI: 10.14283/jpad.2023.101] [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] [Indexed: 01/18/2024]
Abstract
BACKGROUND Aging is considered a key risk factor for Alzheimer's disease (AD). This study aimed to identify and validate potential aging-related genes associated with AD using bioinformatics analysis. METHODS Datasets GSE36980 and GSE5281 were selected to screen differentially expressed genes (DEGs), and the immune cell correlation analysis and GSEA analysis of DEGs were performed. The intersection with senescence genes was taken as differentially expressed senescence-related genes (DESRGs), and the GSE44770 dataset was used for further validation. The potential biological functions and signaling pathways were determined by GO and KEGG, and the hub genes were identified by 12 algorithms in Cytohubba. The expression of 10 hub genes in different brain regions was determined and single-cell sequencing analysis was performed, and diagnostic genes were further screened by gene expression and receiver operating characteristic (ROC) curve. Finally, a miRNA-gene network of diagnostic genes was constructed and targeted drug prediction was performed. RESULTS A total of 2137 DEGs were screened from the GSE36980 and GSE5281 datasets, and 278 SRGs were identified from the CellAge database. The overlapping DEGs and SRGs constituted 29 DESRGs, including 14 senescence suppressor genes and 15 senescence inducible genes. The top 10 hub genes, including MDH1, CKB, PSMD14, SMARCA4, PEBP1, DDB2, ITPKB, ATF7IP, YAP1, and EWSR1 were screened. Furthermore, four diagnostic genes were identified: PMSD14, PEBP1, ITPKB, and ATF7IP. The ROC analysis showed that the respective area under the curves (AUCs) of PMSD14, PEBP1, ITPKB, and ATF7IP were 0.732, 0.701, 0.747, and 0.703 in the GSE36980 dataset and 0.870, 0.817, 0.902, and 0.834 in the GSE5281 dataset. In the GSE44770 dataset, PMSD14 (AUC, 0.838) and ITPKB (AUC, 0.952) had very high diagnostic values in the early stage of AD. Finally, based on these diagnostic genes, we found that the drug Abemaciclib is a targeted drug for the treatment of age-related AD. Flutamide can aggravate aging-related AD. CONCLUSION The results of this study suggest that cellular SRGs might play an important role in AD. PMSD14, PEBP1, ITPKB, and ATF7IP have the potential as specific biomarkers for the early diagnosis of AD.
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Affiliation(s)
- T Liu
- Professor Jianshe Wei, M.D., Ph.D., Institute for Brain Sciences Research, School of Life Sciences, Henan University, Kaifeng 475004, China
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Wang JY, Xiao WH, Zhang LY, Zhang C, Wei J, Yang JJ, Zhou B, Zhao L, Zhang XL, Xu LY, Hong SD, Dong XS, Liu GL. [Application value of questionnaires in the screening obstructive sleep apnea syndrome in pregnancy across trimesters]. Zhonghua Yi Xue Za Zhi 2023; 103:3932-3937. [PMID: 38129170 DOI: 10.3760/cma.j.cn112137-20230726-00096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Objective: To evaluate the clinical utility value of questionnaires of Berlin, STOP, STOP-Bang (SBQ), Epworth Sleepiness Scale (ESS) in screening obstructive sleep apnea syndrome (OSAS) in pregnant women of different trimesters. Methods: Consecutive pregnant women at high risk for OSAS were enrolled from January, 2021 to April, 2022 at the obstetric clinic of Peking University People's Hospital. They completed questionnaires of Berlin, STOP, SBQ, ESS and also underwent an overnight polysomnography (PSG). To evaluate the accuracy of questionnaires of Berlin, STOP, SBQ, ESS, sensitivity, specificity, positive predictive values, negative predictive values and the area under the receiver operating characteristics (ROC) curve of these questionnaires in pregnancy across trimesters (Pregnancy 1-15 weeks was the first stage, pregnancy 16-27 weeks was the second stage, and pregnancy 28-40 weeks was the third stage) were calculated. Results: A total of 100 pregnant women [(34.5±4.3) years old (26-46 years old)] were included in this study, including 20, 35 and 45 pregnant women in the first, second and third trimester of pregnancy, respectively. Based on PSG results, 45 (45%) of 100 pregnant women were diagnosed with OSAS. The overall predictive values of the four questionnaires were not good, area under[AUC(95%CI)] the ROC curve ESS, Berlin questionnaire STOP and SBQ were 0.54(0.43, 0.66), 0.59 (0.47, 0.70), 0.62(0.51, 0.73) and 0.61 (0.49, 0.72), respectively, sensitivity was 35.6%, 65.9%, 48.9%, 28.9%, specificity was 71.7%, 52.5%, 73.6%, 92.5%. When categorized according to trimesters, the predicted values of the four questionnaires increased in the first trimester, the AUC (95%CI) of STOP questionnaire was 0.81 (0.61, 1.00), sensitivity was 75.0%, specificity was 87.5%. Conclusion: The overall predictive power of the four screening questionnaires is limited in pregnant women. But predictive value of STOP questionnaire is acceptable in the first trimester.
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Affiliation(s)
- J Y Wang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - W H Xiao
- Department of Respiratory Medicine and Intensive Care Unit, Binzhou Medical University Hospital, Binzhou 256603, China
| | - L Y Zhang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - C Zhang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - J Wei
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - J J Yang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - B Zhou
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - L Zhao
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - X L Zhang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - L Y Xu
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - S D Hong
- National Institute of Health Data Science at Peking University, Beijing 100191, China
| | - X S Dong
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - G L Liu
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
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10
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Liu G, Tong Y, Li J, Sun X, Chen L, Zheng X, Zhang X, Lv J, Wang J, Wei B, Wei J, Cheng R, Wang Z. Burnout, moral injury, and suicidal/self-harm ideation among healthcare professionals in Mainland China: Insights from an online survey during the COVID-19 pandemic. Int J Psychiatry Med 2023:912174231219041. [PMID: 38047438 DOI: 10.1177/00912174231219041] [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] [Indexed: 12/05/2023]
Abstract
OBJECTIVE This survey aimed to explore the relationships between burnout, moral injury, and suicidal/self-harm ideation among Chinese health professionals to provide a reference for protecting their mental health. METHOD Health professionals were surveyed online using the Maslach Burnout Inventory-Human Services Survey for Medical Personnel, Patient Health Questionnaire-9, and the Moral Injury Symptoms Scale-Health Professional. RESULTS In the analysis, 6146 eligible respondents were included in the study. The average participant age was 34.9 ± 8.5 years, and suicidal/self-harm ideation was detected in 2338 participants (38.0%). The prevalence of suicidal/self-harm ideation among those with severe burnout in the dimensions of emotional exhaustion, depersonalisation, and decreased personal accomplishment was significantly higher than those with mild burnout. The prevalence of suicidal/self-harm ideation among those with significant moral injury symptoms was higher than those without moral injury. Unconditional logistic regression analysis showed that those with moderate or severe emotional exhaustion, moderate or severe reduced sense of professional accomplishment and moderate or severe depersonalisation had increased risks of suicidal/self-harm ideation. CONCLUSIONS Structural equation modelling demonstrated that burnout significantly mediated the relationship between moral injury and suicidal/self-harm ideation. The proportion of mediation (PM) by burnout was 43.0%. Burnout and moral injury were potential predictors of suicidal/self-harm ideation among health professionals. Both moral injury and burnout had positive and direct effects on suicidal/self-harm ideation, and burnout was a mediator in this relationship among Chinese health professionals. Therefore, to alleviate the moral injury and subsequent burnout of healthcare workers and enhance their mental qualities, active interventions should be developed in the future.
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Affiliation(s)
- Guangtian Liu
- Department of Infectious Disease, The No.4 Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Yan Tong
- Department of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Jinghong Li
- Department of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Xiaoya Sun
- Department of Clinical Psychology, Futian Center for Chronic Disease Control, Shenzhen, China
| | - Linlin Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Xiwei Zheng
- Department of Respiratory and Critical Care, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Xinhui Zhang
- Department of Infectious Disease, The No.4 Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Jufen Lv
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Jinyan Wang
- Department of Rehabilitation and Nursing, Ningxia Vocational and Technical College for Minorities, Wuzhong, China
| | - Bingfen Wei
- Department of Rehabilitation and Nursing, Ningxia Vocational and Technical College for Minorities, Wuzhong, China
| | - Jianhua Wei
- Department of Infectious Disease, The No.4 Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Ruixia Cheng
- Department of Infectious Disease, The No.4 Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Zhizhong Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
- Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan, China
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11
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Wu X, Zhai F, Chang A, Wei J, Guo Y, Zhang J. Application of machine learning algorithms to predict osteoporosis in postmenopausal women with type 2 diabetes mellitus. J Endocrinol Invest 2023; 46:2535-2546. [PMID: 37171784 DOI: 10.1007/s40618-023-02109-0] [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: 10/04/2022] [Accepted: 05/03/2023] [Indexed: 05/13/2023]
Abstract
PURPOSE The screening and diagnosis of osteoporosis in patients with type 2 diabetes mellitus (T2DM) based on bone mineral density remains challenging because of the limited availability and accessibility of dual-energy X-ray absorptiometry. We aimed to develop and validate models to predict the risk of osteoporosis in postmenopausal women with T2DM based on machine learning (ML) algorithms. METHODS This retrospective study included 303 postmenopausal women with T2DM. To develop prediction models for osteoporosis, we applied nine ML algorithms combined with demographic, clinical, and laboratory data. The least absolute shrinkage and selection operator were used to perform feature selection. We used the bootstrap resampling technique for model training and validation. To test the performance of the models, we calculated indices including the area under the receiver operating characteristic curve (AUROC), accuracy, sensitivity, specificity, positive predictive value, negative predictive value, F1 score, calibration curve, and decision curve analysis. Furthermore, we conducted fivefold cross-validation for parameter optimization and model validation. Feature importance was assessed using the SHapley additive explanation (SHAP). RESULTS We identified 10 independent predictors as the most valuable features. An AUROC of 0.616-1.000 was observed for nine ML algorithms. The extreme gradient boosting (XGBoost) model exhibited the best performance, outperforming conventional risk assessment tools and registering 0.993 in the training set, 0.798 in the validation set, and 0.786 in the test set for fivefold cross-validation. Using SHAP, we found that the explanatory variables contributed to the model and their relationship with osteoporosis occurrence. Furthermore, we developed a user-friendly tool for calculating the risk of osteoporosis. CONCLUSIONS With the integration of demographic and clinical risk factors, ML algorithms can accurately predict osteoporosis. The XGBoost model showed ideal performance. With the incorporation of these models in the clinic, patients may benefit from early osteoporosis diagnosis and treatment.
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Affiliation(s)
- X Wu
- Department of Endocrinology, Cangzhou Central Hospital, 16 Xinhua West Road, Cangzhou, 061000, Hebei, People's Republic of China.
| | - F Zhai
- Gynecological Clinic, Cangzhou Central Hospital, 16 Xinhua West Road, Cangzhou, 061000, Hebei, People's Republic of China
| | - A Chang
- Department of Endocrinology, Cangzhou Central Hospital, 16 Xinhua West Road, Cangzhou, 061000, Hebei, People's Republic of China
| | - J Wei
- Department of Endocrinology, Cangzhou Central Hospital, 16 Xinhua West Road, Cangzhou, 061000, Hebei, People's Republic of China
| | - Y Guo
- Department of Endocrinology, Cangzhou Central Hospital, 16 Xinhua West Road, Cangzhou, 061000, Hebei, People's Republic of China
| | - J Zhang
- Department of Endocrinology, Cangzhou Central Hospital, 16 Xinhua West Road, Cangzhou, 061000, Hebei, People's Republic of China
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12
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Shiraiwa M, Fang T, Wei J, Lakey P, Hwang B, Edwards KC, Kapur S, Mena J, Huang YK, Digman MA, Weichenthal SA, Nizkorodov S, Kleinman MT. Chemical and Cellular Formation of Reactive Oxygen Species from Secondary Organic Aerosols in Epithelial Lining Fluid. Res Rep Health Eff Inst 2023:1-56. [PMID: 38420854] [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: 03/02/2024] Open
Abstract
INTRODUCTION Oxidative stress mediated by reactive oxygen species (ROS) is a key process for adverse aerosol health effects. Secondary organic aerosols (SOA) account for a major fraction of particulate matter with aerodynamic diameter ≤2.5 µm (PM2.5). PM2.5 inhalation and deposition into the respiratory tract causes the formation of ROS by chemical reactions and phagocytosis of macrophages in the epithelial lining fluid (ELF), but their relative contributions are not well quantified and their link to oxidative stress remains uncertain. The specific aims of this project were (1) elucidating the chemical mechanism and quantifying the formation kinetics of ROS in the ELF by SOA; (2) quantifying the relative importance of ROS formation by chemical reactions and macrophages in the ELF. METHODS SOA particles were generated using reaction chambers from oxidation of various precursors including isoprene, terpenes, and aromatic compounds with or without nitrogen oxides (NOx). We collected size-segregated PM at two highway sites in Anaheim, CA, and Long Beach, CA, and at an urban site in Irvine, CA, during two wildfire events. The collected particles were extracted into water or surrogate ELF that contained lung antioxidants. ROS generation was quantified using electron paramagnetic resonance (EPR) spectroscopy with a spin-trapping technique. PM oxidative potential (OP) was also quantified using the dithiothreitol assay. In addition, kinetic modeling was applied for analysis and interpretation of experimental data. Finally, we quantified cellular superoxide release by RAW264.7 macrophage cells upon exposure to quinones and isoprene SOA using a chemiluminescence assay as calibrated with an EPR spin-probing technique. We also applied cellular imaging techniques to study the cellular mechanism of superoxide release and oxidative damage on cell membranes. RESULTS Superoxide radicals (·O2-) were formed from aqueous reactions of biogenic SOA generated by hydroxy radical (·OH) photooxidation of isoprene, β-pinene, α-terpineol, and d-limonene. The temporal evolution of ·OH and ·O2- formation was elucidated by kinetic modeling with a cascade of aqueous reactions, including the decomposition of organic hydroperoxides (ROOH), ·OH oxidation of primary or secondary alcohols, and unimolecular decomposition of α-hydroxyperoxyl radicals. Relative yields of various types of ROS reflected the relative abundance of ROOH and alcohols contained in SOA, which generated under high NOx conditions, exhibited lower ROS yields. ROS formation by SOA was also affected by pH. Isoprene SOA had higher ·OH and organic radical yields at neutral than at acidic pH. At low pH ·O2- was the dominant species generated by all types of SOA. At neutral pH, α-terpineol SOA exhibited a substantial yield of carbon-centered organic radicals (R·), while no radical formation was observed by aromatic SOA. Organic radicals in the ELF were formed by mixtures of Fe2+ and SOA generated from photooxidation of isoprene, α-terpineol, and toluene. The molar yields of organic radicals by SOA were 5-10 times higher in ELF than in water. Fe2+ enhanced organic radical yields by a factor of 20-80. Ascorbate mediated redox cycling of iron ions and sustained organic peroxide decomposition, as supported by kinetic modeling reproducing time- and concentration-dependence of organic radical formation, as well as by additional experiments observing the formation of Fe2+ and ascorbate radicals in mixtures of ascorbate and Fe3+. ·OH and superoxide were found to be efficiently scavenged by antioxidants. Wildfire PM mainly generated ·OH and R· with minor contributions from superoxide and oxygen-centered organic radicals (RO·). PM OP was high in wildfire PM, exhibiting very weak correlation with radical forms of ROS. These results were in stark contrast with PM collected at highway and urban sites, which generated much higher amounts of radicals dominated by ·OH radicals that correlated well with OP. By combining field measurements of size-segregated chemical composition, a human respiratory tract model, and kinetic modeling, we quantified production rates and concentrations of different types of ROS in different regions of the ELF by considering particle-size-dependent respiratory deposition. While hydrogen peroxide (H2O2) and ·O2- production were governed by Fe and Cu ions, ·OH radicals were mainly generated by organic compounds and Fenton-like reactions of metal ions. We obtained mixed results for correlations between PM OP and ROS formation, providing rationale and limitations of the use of oxidative potential as an indicator for PM toxicity in epidemiological and toxicological studies. Quinones and isoprene SOA activated nicotinamide adenine dinucleotide phosphate (NADPH) oxidase in macrophages, releasing massive amounts of superoxide via respiratory burst and overwhelming the superoxide formation by aqueous chemical reactions in the ELF. The threshold dose for macrophage activation was much smaller for quinones compared with isoprene SOA. The released ROS caused lipid peroxidation to increase cell membrane fluidity, inducing oxidative damage and stress. Further increases of doses led to the activation of antioxidant response elements, reducing the net cellular superoxide production. At very high doses and long exposure times, chemical production became comparably important or dominant if the escalation of oxidative stress led to cell death. CONCLUSIONS The mechanistic understandings and quantitative information on ROS generation by SOA particles provided a basis for further elucidation of adverse aerosol health effects and oxidative stress by PM2.5. For a comprehensive assessment of PM toxicity and health effects via oxidative stress, it is important to consider both chemical reactions and cellular processes for the formation of ROS in the ELF. Chemical composition of PM strongly influences ROS formation; further investigations are required to study ROS formation from various PM sources. Such research will provide critical information to environmental agencies and policymakers for the development of air quality policy and regulation.
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Affiliation(s)
- M Shiraiwa
- Department of Chemistry, University of California, Irvine, CA, USA
| | - T Fang
- Department of Chemistry, University of California, Irvine, CA, USA
| | - J Wei
- Department of Chemistry, University of California, Irvine, CA, USA
| | - Psj Lakey
- Department of Chemistry, University of California, Irvine, CA, USA
| | - Bch Hwang
- Department of Chemistry, University of California, Irvine, CA, USA
| | - K C Edwards
- Department of Chemistry, University of California, Irvine, CA, USA
| | - S Kapur
- Department of Chemistry, University of California, Irvine, CA, USA
| | - Jem Mena
- Division of Occupational and Environmental Medicine, University of California, Irvine, CA, USA
| | - Y-K Huang
- Department of Biomedical Engineering, University of California, Irvine, CA, USA
| | - M A Digman
- Department of Biomedical Engineering, University of California, Irvine, CA, USA
| | - S A Weichenthal
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
| | - S Nizkorodov
- Department of Chemistry, University of California, Irvine, CA, USA
| | - M T Kleinman
- Division of Occupational and Environmental Medicine, University of California, Irvine, CA, USA
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13
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Jiang C, Sun Q, Fu Q, Wei J. Postoperative Nursing Care of Obese Patients with Aortic Dissection Receiving Modified Prone Position Mechanical Ventilation: A Report of Two Cases. Altern Ther Health Med 2023:AT9032. [PMID: 37917890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2023]
Abstract
Background Aortic dissection is a critical cardiovascular disease, with Stanford Type A aortic dissection (TAAD) posing significant concern due to its high mortality rate, especially in obese patients. Acute respiratory distress syndrome (ARDS) is among the most common postoperative complications. Therefore, preventing ARDS is critically important for TAAD patients. Objective This study aims to investigate the impact of enhanced prone mechanical ventilation on oxygenation levels, early extubation rates, and length of stay in the intensive care unit (ICU) among obese TAAD patients. The goal is to assess its potential to improve patient clinical outcomes and provide a scientific foundation for clinical practice. Case Presentation Following evaluation by the attending physician, two hypoxemic patients underwent prone mechanical ventilation on postoperative day 3 for 12 hours daily, consecutively for 3-5 days. Patients' oxygenation significantly improved, and mechanical ventilation was discontinued after respiratory exercises. Successful removal of oral intubation was achieved, followed by individualized nursing care. No complications arose during intensive care, and both patients were transferred out of the ICU and subsequently discharged. Conclusions The early implementation of modified prone position ventilation effectively mitigates postoperative hypoxemia in obese patients with aortic dissection. It increases the rate of early postoperative oral extubation and reduces the length of stay in the ICU.
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Wei J, Zang N, Zhang J, He Y, Huang H, Liu X, Xu X, Ren L, Deng Y, Wu J, Seto D, Zhong W, Zhang Q, Liu E. Genome and proteomic analysis of risk factors for fatal outcome in children with severe community-acquired pneumonia caused by human adenovirus 7. J Med Virol 2023; 95:e29182. [PMID: 37909805 DOI: 10.1002/jmv.29182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/28/2023] [Accepted: 10/09/2023] [Indexed: 11/03/2023]
Abstract
INTRODUCTION Human adenovirus 7 (HAdV-7) is an important viral pathogen of severe pneumonia in children and a serious threat to health. METHODS A cohort of 45 pediatric patients diagnosed with HAdV-7-associated severe pneumonia and admitted to the Pediatric Intensive Care Unit at the Children's Hospital of Chongqing Medical University from May 2018 to January 2020 were included. Risk factors of death were analyzed by the Cox proportional risk mode with Clinical data, serum, and nasopharyngeal aspirate adenovirus load, Genome analysis, Olink proteomics, and cytokine profile between dead and surviving patients were also analyzed. RESULTS A total of 45 children with a median age of 12.0 months (interquartile range [IQR]: 6.5, 22.0) were included (female 14), including 14 (31.1%) who died. High serum viral load was an independent risk factor for mortality (hazard ratio [HR] = 2.16, 95% confidence interval [CI], 1.04-4.49, p = 0.039). BTB and CNC homology 1 (BACH1), interleukin-5 (IL-5), and IL-9 levels were significantly correlated with serum viral load (p = 0.0400, 0.0499, and 0.0290; r = 0.4663, 0.3339, and -0.3700, respectively), with significant differences between the dead and survival groups (p = 0.021, 0.001, and 0.021). CONCLUSIONS Severe cytokine storm-associated high serum viral load after HAdV-7 infection may be the main mechanism responsible for poor prognosis in children.
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Affiliation(s)
- Jianhua Wei
- Department of Respiratory Medicine, Children's Hospital of Chongqing Medical University, Chongqing, China
- Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- China International Science and Technology Cooperation base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Na Zang
- Department of Respiratory Medicine, Children's Hospital of Chongqing Medical University, Chongqing, China
- Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- China International Science and Technology Cooperation base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Jing Zhang
- Key Laboratory of Viral Pathogenesis & Infection Prevention and Control, Ministry of Education, Institute of Medical Microbiology, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Yu He
- Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- China International Science and Technology Cooperation base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Haixia Huang
- Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- China International Science and Technology Cooperation base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Intensive Care Unit, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Xiangyu Liu
- Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- China International Science and Technology Cooperation base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Ximing Xu
- Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- China International Science and Technology Cooperation base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Luo Ren
- Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- China International Science and Technology Cooperation base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Yu Deng
- Department of Respiratory Medicine, Children's Hospital of Chongqing Medical University, Chongqing, China
- Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- China International Science and Technology Cooperation base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Jianguo Wu
- Key Laboratory of Viral Pathogenesis & Infection Prevention and Control, Ministry of Education, Institute of Medical Microbiology, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Donald Seto
- Bioinformatics and Computational Biology Program, School of Systems Biology, George Mason University, Manassas, Virginia, USA
| | - Wen Zhong
- Science for Life Laboratory, Department of Biomedical and Clinical Sciences (BKV), Linköping University, Linköping, Sweden
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Qiwei Zhang
- Key Laboratory of Viral Pathogenesis & Infection Prevention and Control, Ministry of Education, Institute of Medical Microbiology, College of Life Science and Technology, Jinan University, Guangzhou, China
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Enmei Liu
- Department of Respiratory Medicine, Children's Hospital of Chongqing Medical University, Chongqing, China
- Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- China International Science and Technology Cooperation base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China
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15
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Aguilar M, Ambrosi G, Anderson H, Arruda L, Attig N, Bagwell C, Barao F, Barbanera M, Barrin L, Bartoloni A, Battiston R, Belyaev N, Berdugo J, Bertucci B, Bindi V, Bollweg K, Bolster J, Borchiellini M, Borgia B, Boschini MJ, Bourquin M, Burger J, Burger WJ, Cai XD, Capell M, Casaus J, Castellini G, Cervelli F, Chang YH, Chen GM, Chen GR, Chen H, Chen HS, Chen Y, Cheng L, Chou HY, Chouridou S, Choutko V, Chung CH, Clark C, Coignet G, Consolandi C, Contin A, Corti C, Cui Z, Dadzie K, D'Angelo F, Dass A, Delgado C, Della Torre S, Demirköz MB, Derome L, Di Falco S, Di Felice V, Díaz C, Dimiccoli F, von Doetinchem P, Dong F, Donnini F, Duranti M, Egorov A, Eline A, Faldi F, Feng J, Fiandrini E, Fisher P, Formato V, Gámez C, García-López RJ, Gargiulo C, Gast H, Gervasi M, Giovacchini F, Gómez-Coral DM, Gong J, Goy C, Grandi D, Graziani M, Guracho AN, Haino S, Han KC, Hashmani RK, He ZH, Heber B, Hsieh TH, Hu JY, Huang BW, Ionica M, Incagli M, Jia Y, Jinchi H, Karagöz G, Khan S, Khiali B, Kirn T, Klipfel AP, Kounina O, Kounine A, Koutsenko V, Krasnopevtsev D, Kuhlman A, Kulemzin A, La Vacca G, Laudi E, Laurenti G, LaVecchia G, Lazzizzera I, Lee HT, Lee SC, Li HL, Li JQ, Li M, Li M, Li Q, Li Q, Li QY, Li S, Li SL, Li JH, Li ZH, Liang J, Liang MJ, Lin CH, Lippert T, Liu JH, Lu SQ, Lu YS, Luebelsmeyer K, Luo JZ, Luo SD, Luo X, Mañá C, Marín J, Marquardt J, Martin T, Martínez G, Masi N, Maurin D, Medvedeva T, Menchaca-Rocha A, Meng Q, Molero M, Mott P, Mussolin L, Jozani YN, Negrete J, Nicolaidis R, Nikonov N, Nozzoli F, Ocampo-Peleteiro J, Oliva A, Orcinha M, Ottupara MA, Palermo M, Palmonari F, Paniccia M, Pashnin A, Pauluzzi M, Pensotti S, Plyaskin V, Poluianov S, Qin X, Qu ZY, Quadrani L, Rancoita PG, Rapin D, Conde AR, Robyn E, Rodríguez-García I, Romaneehsen L, Rossi F, Rozhkov A, Rozza D, Sagdeev R, Savin E, Schael S, von Dratzig AS, Schwering G, Seo ES, Shan BS, Siedenburg T, Silvestre G, Song JW, Song XJ, Sonnabend R, Strigari L, Su T, Sun Q, Sun ZT, Tacconi M, Tang XW, Tang ZC, Tian J, Tian Y, Ting SCC, Ting SM, Tomassetti N, Torsti J, Urban T, Usoskin I, Vagelli V, Vainio R, Valencia-Otero M, Valente E, Valtonen E, Vázquez Acosta M, Vecchi M, Velasco M, Vialle JP, Wang CX, Wang L, Wang LQ, Wang NH, Wang QL, Wang S, Wang X, Wang Y, Wang ZM, Wei J, Weng ZL, Wu H, Wu Y, Xiao JN, Xiong RQ, Xiong XZ, Xu W, Yan Q, Yang HT, Yang Y, Yelland A, Yi H, You YH, Yu YM, Yu ZQ, Zhang C, Zhang F, Zhang FZ, Zhang J, Zhang JH, Zhang Z, Zhao F, Zheng C, Zheng ZM, Zhuang HL, Zhukov V, Zichichi A, Zuccon P. Temporal Structures in Positron Spectra and Charge-Sign Effects in Galactic Cosmic Rays. Phys Rev Lett 2023; 131:151002. [PMID: 37897756 DOI: 10.1103/physrevlett.131.151002] [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: 07/23/2023] [Revised: 08/26/2023] [Accepted: 09/01/2023] [Indexed: 10/30/2023]
Abstract
We present the precision measurements of 11 years of daily cosmic positron fluxes in the rigidity range from 1.00 to 41.9 GV based on 3.4×10^{6} positrons collected with the Alpha Magnetic Spectrometer (AMS) aboard the International Space Station. The positron fluxes show distinctly different time variations from the electron fluxes at short and long timescales. A hysteresis between the electron fluxes and the positron fluxes is observed with a significance greater than 5σ at rigidities below 8.5 GV. On the contrary, the positron fluxes and the proton fluxes show similar time variation. Remarkably, we found that positron fluxes are modulated more than proton fluxes with a significance greater than 5σ for rigidities below 7 GV. These continuous daily positron fluxes, together with AMS daily electron, proton, and helium fluxes over an 11-year solar cycle, provide unique input to the understanding of both the charge-sign and mass dependencies of cosmic rays in the heliosphere.
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Affiliation(s)
- M Aguilar
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - G Ambrosi
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - H Anderson
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - L Arruda
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - N Attig
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - C Bagwell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Barao
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - M Barbanera
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - L Barrin
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | | | - R Battiston
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - N Belyaev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Berdugo
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - B Bertucci
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - V Bindi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Bollweg
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - J Bolster
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Borchiellini
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - B Borgia
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - M J Boschini
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - M Bourquin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - J Burger
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - X D Cai
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Capell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Casaus
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | | | - Y H Chang
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - G M Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - G R Chen
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Chen
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - H S Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Chen
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Cheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Y Chou
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - S Chouridou
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - V Choutko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C H Chung
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Clark
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Coignet
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C Consolandi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Contin
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - C Corti
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - Z Cui
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - K Dadzie
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F D'Angelo
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - A Dass
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - C Delgado
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - M B Demirköz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - L Derome
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | | | - V Di Felice
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Díaz
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - P von Doetinchem
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Dong
- Southeast University (SEU), Nanjing 210096, China
| | - F Donnini
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - M Duranti
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - A Egorov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Eline
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Faldi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Feng
- Sun Yat-Sen University (SYSU), Guangzhou 510275, China
| | - E Fiandrini
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - P Fisher
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Formato
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Gámez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - R J García-López
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - C Gargiulo
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - H Gast
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - M Gervasi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - F Giovacchini
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - D M Gómez-Coral
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - J Gong
- Southeast University (SEU), Nanjing 210096, China
| | - C Goy
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - D Grandi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - M Graziani
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | | | - S Haino
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - K C Han
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - R K Hashmani
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - Z H He
- Sun Yat-Sen University (SYSU), Guangzhou 510275, China
| | - B Heber
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T H Hsieh
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Y Hu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - B W Huang
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - M Ionica
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - M Incagli
- INFN Sezione di Pisa, 56100 Pisa, Italy
| | - Yi Jia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Jinchi
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - G Karagöz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - S Khan
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - B Khiali
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - Th Kirn
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - A P Klipfel
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - O Kounina
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kounine
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Koutsenko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Krasnopevtsev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kuhlman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Kulemzin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G La Vacca
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - E Laudi
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - G Laurenti
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - G LaVecchia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - I Lazzizzera
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - H T Lee
- Academia Sinica Grid Center (ASGC), Nankang, Taipei 11529, Taiwan
| | - S C Lee
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - H L Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - M Li
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - M Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - Q Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q Y Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - S Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - S L Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z H Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Liang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - M J Liang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C H Lin
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - T Lippert
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - J H Liu
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Q Lu
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - Y S Lu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - K Luebelsmeyer
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Z Luo
- Southeast University (SEU), Nanjing 210096, China
| | - S D Luo
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - Xi Luo
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - C Mañá
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marín
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marquardt
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T Martin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Martínez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - N Masi
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - D Maurin
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - T Medvedeva
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Menchaca-Rocha
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - Q Meng
- Southeast University (SEU), Nanjing 210096, China
| | - M Molero
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - P Mott
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - L Mussolin
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - Y Najafi Jozani
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Negrete
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - R Nicolaidis
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - N Nikonov
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | | | - J Ocampo-Peleteiro
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - A Oliva
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - M Orcinha
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - M A Ottupara
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - M Palermo
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Palmonari
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - M Paniccia
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - A Pashnin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pauluzzi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - S Pensotti
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - V Plyaskin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - S Poluianov
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - X Qin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Y Qu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Quadrani
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P G Rancoita
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - D Rapin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | | | - E Robyn
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - I Rodríguez-García
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - L Romaneehsen
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - F Rossi
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - A Rozhkov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Rozza
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - R Sagdeev
- East-West Center for Space Science, University of Maryland, College Park, Maryland 20742, USA
| | - E Savin
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - S Schael
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | | | - G Schwering
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - E S Seo
- IPST, University of Maryland, College Park, Maryland 20742, USA
| | - B S Shan
- Beihang University (BUAA), Beijing 100191, China
| | - T Siedenburg
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - G Silvestre
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - J W Song
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - X J Song
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - R Sonnabend
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - L Strigari
- INFN Sezione di Roma 1, 00185 Roma, Italy
| | - T Su
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Sun
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z T Sun
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Tacconi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - X W Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - Z C Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - J Tian
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - Y Tian
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - Samuel C C Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - S M Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Tomassetti
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Torsti
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - T Urban
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - I Usoskin
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - V Vagelli
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Agenzia Spaziale Italiana (ASI), 00133 Roma, Italy
| | - R Vainio
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Valencia-Otero
- Physics Department and Center for High Energy and High Field Physics, National Central University (NCU), Tao Yuan 32054, Taiwan
| | - E Valente
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - E Valtonen
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Vázquez Acosta
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - M Vecchi
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - M Velasco
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J P Vialle
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C X Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - L Q Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - N H Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Wang
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - X Wang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Yu Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z M Wang
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Wei
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z L Weng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Wu
- Southeast University (SEU), Nanjing 210096, China
| | - Y Wu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J N Xiao
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - R Q Xiong
- Southeast University (SEU), Nanjing 210096, China
| | - X Z Xiong
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - W Xu
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Yan
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H T Yang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Yang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - A Yelland
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Yi
- Southeast University (SEU), Nanjing 210096, China
| | - Y H You
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y M Yu
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Q Yu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - C Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Z Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Zhang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - J H Zhang
- Southeast University (SEU), Nanjing 210096, China
| | - Z Zhang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Zhao
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Zheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z M Zheng
- Beihang University (BUAA), Beijing 100191, China
| | - H L Zhuang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - V Zhukov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - A Zichichi
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P Zuccon
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
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Wu F, Tang X, Zhang Y, Wei L, Wang T, Lu Z, Wei J, Ma S, Jiang L, Gao T, Huang Q. The Role of Radiation Therapy for Metastatic Cervical Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e555. [PMID: 37785704 DOI: 10.1016/j.ijrobp.2023.06.1865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Survival rates for women with metastatic cervical cancer (CC) are low, with limited management options. Radiation therapy (RT) for metastatic disease has led to prolonged survival in other malignancies, however, the data are scarce in CC. Herein, we evaluated the effect of RT for metastatic CC. MATERIALS/METHODS A total of 58 patients with metastatic CC between September 2019 and January 2023 were retrospectively analyzed. All the patients were treated with platinum-based chemotherapy combined with targeted therapy or immunotherapy followed with or without RT (NRT). The recent efficacy, survival status and prognostic factors were analyzed statistically. RESULTS Objective response rate (ORR) was 63.6% with one complete and twenty partial responses in RT group (n = 33) and 40.0% with two complete and eight partial responses in NRT group (n = 25), respectively (p = 0.074). Disease control rate (DCR) of the RT and NRT groups were 79.4% vs 80.0%, respectively (p = 0.861). Median follow-up time was 17 months (3-39months). In RT group, 11(33.3%) patients experienced local regional or distant failure and 9 (27.3%) patients were dead. In NRT group, 15(60%) patients had progression and 8 (32%) patients dead. There was no significant difference between the two groups in overall survival (OS); however, RT group displayed superior progression-free survival (PFS) (1-year OS: 72.7% vs. 68.0%, p = 0.460; 1-year PFS: 66.7% vs. 40.0%, p = 0.039). The multivariate analysis showed that RT, immunotherapy, lymph node metastasis only relevant predictor of superior PFS but not OS. In subgroup analysis, patients treated with RT appeared to have a better PFS in some specific cohorts, such as age>45 years (72.0% vs 36.4% P = 0.015), squamous carcinoma histology (71.0% vs 40.9% P = 0.017), metastatic at diagnosis (75.0% vs 47.6% P = 0.012), non-targeted therapy (72.4% vs 43.8% P = 0.040). No significant increase in treatment-related toxicity was observed in the RT group compared with the NRT group. CONCLUSION RT provided superior PFS in metastatic CC patients compared to NRT, and well tolerated. Moreover, RT, immunotherapy, lymph node metastasis only were independent significant prognostic factors for PFS. Subgroup analysis showed that combination of RT and chemotherapy obtained favorable PFS in metastatic CC patients with age>45 years, squamous carcinoma histology, metastatic at diagnosis, non-targeted therapy. Studies with a larger sample size and longer follow-up are warranted.
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Affiliation(s)
- F Wu
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - X Tang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China; Department of Radiation Oncology, Liuzhou People's Hospital, Liuzhou, Guangxi, China
| | - Y Zhang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - L Wei
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - T Wang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Z Lu
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - J Wei
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - S Ma
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - L Jiang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - T Gao
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Q Huang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
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Huang J, Meng Q, Liu R, Li H, Li Y, Yang Z, Wang Y, Wanyan C, Yang X, Wei J. The development of radioresistant oral squamous carcinoma cell lines and identification of radiotherapy-related biomarkers. Clin Transl Oncol 2023; 25:3006-3020. [PMID: 37029240 DOI: 10.1007/s12094-023-03169-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/21/2023] [Indexed: 04/09/2023]
Abstract
BACKGROUND In the treatment of oral squamous cell carcinoma (OSCC), radiation resistance remains an important obstacle to patient outcomes. Progress in understanding the molecular mechanisms of radioresistance has been limited by research models that do not fully recapitulate the biological features of solid tumors. In this study, we aimed to develop novel in vitro models to investigate the underlying basis of radioresistance in OSCC and to identify novel biomarkers. METHODS Parental OSCC cells (SCC9 and CAL27) were repeatedly exposed to ionizing radiation to develop isogenic radioresistant cell lines. We characterized the phenotypic differences between the parental and radioresistant cell lines. RNA sequencing was used to identify differentially expressed genes (DEGs), and bioinformatics analysis identified candidate molecules that may be related to OSCC radiotherapy. RESULTS Two isogenic radioresistant cell lines for OSCC were successfully established. The radioresistant cells displayed a radioresistant phenotype when compared to the parental cells. Two hundred and sixty DEGs were co-expressed in SCC9-RR and CAL27-RR, and thirty-eight DEGs were upregulated or downregulated in both cell lines. The associations between the overall survival (OS) of OSCC patients and the identified genes were analyzed using data from the Cancer Genome Atlas (TCGA) database. A total of six candidate genes (KCNJ2, CLEC18C, P3H3, PIK3R3, SERPINE1, and TMC8) were closely associated with prognosis. CONCLUSION This study demonstrated the utility of constructing isogenic cell models to investigate the molecular changes associated with radioresistance. Six genes were identified based on the data from the radioresistant cells that may be potential targets in the treatment of OSCC.
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Affiliation(s)
- Junhong Huang
- College of Life Science, Northwest University, Xi'an, 710069, China
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Qingzhe Meng
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
- School of Stomatology, Heilongjiang Key Lab of Oral Biomedicine Materials and Clinical Application & Experimental Center for Stomatology Engineering, Jiamusi University, Jiamusi, 154000, China
| | - Rong Liu
- College of Life Science, Northwest University, Xi'an, 710069, China
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Huan Li
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Yahui Li
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Zihui Yang
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Yan Wang
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Chaojie Wanyan
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China
| | - Xinjie Yang
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jianhua Wei
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, 710032, China.
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18
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Zheng L, Chen Y, Ding L, Zhou Y, Xue S, Li B, Wei J, Wang H. The transcription factor MYB156 controls the polar stiffening of guard cell walls in poplar. Plant Cell 2023; 35:3757-3781. [PMID: 37437118 PMCID: PMC10533337 DOI: 10.1093/plcell/koad198] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/09/2023] [Accepted: 06/14/2023] [Indexed: 07/14/2023]
Abstract
The mechanical properties of guard cells have major effects on stomatal functioning. Reinforced stiffness in the stomatal polar regions was recently proposed to play an important role in stomatal function, but the underlying molecular mechanisms remain elusive. Here, we used genetic and biochemical approaches in poplar (Populus spp.) to show that the transcription factor MYB156 controls pectic homogalacturonan-based polar stiffening through the downregulation of the gene encoding pectin methylesterase 6 (PME6). Loss of MYB156 increased the polar stiffness of stomata, thereby enhancing stomatal dynamics and response speed to various stimuli. In contrast, overexpression of MYB156 resulted in decreased polar stiffness and impaired stomatal dynamics, accompanied by smaller leaves. Polar stiffening functions in guard cell dynamics in response to changing environmental conditions by maintaining normal stomatal morphology during stomatal movement. Our study revealed the structure-function relationship of the cell wall of guard cells in stomatal dynamics, providing an important means for improving the stomatal performance and drought tolerance of plants.
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Affiliation(s)
- Lin Zheng
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Yajuan Chen
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Liping Ding
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Ying Zhou
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Shanshan Xue
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Biying Li
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Jianhua Wei
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Hongzhi Wang
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
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Bai R, Wang JY, Zhang C, Hong SD, Zhang LY, Wei J, Wang Y, Yang JJ, Dong XS, Han F, Liu GL. [Relationships between hypertensive disorders in pregnancy and obstructive sleep apnea syndrome]. Zhonghua Fu Chan Ke Za Zhi 2023; 58:658-663. [PMID: 37724382 DOI: 10.3760/cma.j.cn112141-20230219-00074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 09/20/2023]
Abstract
Objective: To investigate the impact of obstructive sleep apnea syndrome (OSAS) on pregnancy outcomes, especially the relationship between OSAS and hypertensive disorders in pregnancy (HDP). Methods: A total of 228 pregnant women with high risk of OSAS who underwent sleep monitoring during pregnancy in Peking University People's Hospital from January 2021 to April 2022 were collected by reviewing their medical records for retrospective analysis. According to the diagnosis of OSAS, the pregnant women were divided into OSAS group (105 cases) and non-OSAS group (123 cases). The non-parametric Mann-Whitney U test, χ2 test or Fisher's exact test were used to compare the general data and maternal and fetal outcomes between the two groups, and the occurrence of each type of HDP was further compared. Results: (1) Compared with the non-OSAS group, the median pre-pregnancy body mass index (23.6 vs 27.6 kg/m2) and the proportion of snoring [28.9% (33/114) vs 59.2% (61/103)] in the OSAS group were higher, and the differences were both statistically significant (both P<0.001). (2) The incidence of HDP [67.6% (71/105) vs 39.0% (48/123)] and gestational diabetes mellitus [GDM; 40.0% (42/105) vs 26.8% (33/123)] of pregnant women in the OSAS group were higher than those in the non-OSAS group, and the median delivery week was shorter than that in the non-OSAS group (38.4 vs 39.0 weeks). The differences were all statistically significant (all P<0.05). Between-group differences for the delivery way, postpartum hemorrhage, the rate of intensive care unit admission, preterm birth, small for gestational age infants, neonatal asphyxia, the rate of neonatal intensive care unit admission, newborn birth weight and the proportion of umbilical artery blood pH<7.00 were not statistically significant (all P>0.05). (3) Compared with the non-OSAS group, the incidence of chronic hypertension [11.4% (14/123) vs 22.9% (24/105)] and chronic hypertension with superimposed pre-eclampsia [11.4% (14/123) vs 30.5% (32/105)] were higher in the OSAS group, and the differences were both statistically significant (both P<0.01). Conclusion: OSAS is related to HDP (especially chronic hypertension and chronic hypertension with superimposed pre-eclampsia) and GDM, which could provide a practical basis for the screening, diagnosis and treatment of OSAS in pregnant women at high risk.
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Affiliation(s)
- R Bai
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - J Y Wang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - C Zhang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - S D Hong
- National Institute of Health Data Science, Peking University, Beijing 100191, China
| | - L Y Zhang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - J Wei
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - Y Wang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - J J Yang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - X S Dong
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - F Han
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - G L Liu
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
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Geng ZY, Chen NX, You W, Liu K, Gu X, Wei J, Ma L, Zhang XX. [Efficacy of non-surgical comprehensive treatment for locally advanced hypopharyngeal carcinoma with cervical esophagus invasion]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:773-780. [PMID: 37599238 DOI: 10.3760/cma.j.cn115330-20221108-00670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
Objective: To analyze the treatment effects and side effects of non-surgical comprehensive treatment for locally advanced hypopharyngeal carcinoma invading cervical esophagus. Methods: A retrospective analysis was performed on sixty-six patients with locally advanced hypopharyngeal carcinoma invade the esophagus. These patients were treated in the Department of Otolaryngology, Head and Neck Surgery of Chinese People's Liberation Army General Hospital between January 2011 and May 2022, including sixty-five males and one female, aged 43-71 years. Treatment regimen consisted of induction chemotherapy and concurrent chemoradiothrapy and epidermal growth factor receptor (EGFR)-targeted therapy, three of these cases were treated with programmed cell death 1 (PD-1) immunotherapy. The Kaplan-Meier method was used for survival analysis. Side effects were evaluated with the established CTCAE (Common Terminology Criteria for Adverse Events) 5.0 criteria. The factors affecting prognosis were analyzed by Cox multivariate regression analysis. Results: Sixty-four (97.0%, 64/66) patients completed the radiotherapy and chemotherapy plan. The most common grade three side effects were radioactive oropharyngeal mucositis (89.1%, 57/64) and leukopenia (23.4%, 15/64). Five (7.8%, 5/64) patients showed grade three hoarseness; two patients (3.1%, 2/64) suffered from grade three swallowing dysfunction and required feeding tube and intravenous nutrition; the remaining patients(89.1%) retained good vocal and swallowing functions. The overall survival (OS) of all patients was 81.5% after one year, 54.0% after three years, and 39.9% after five years; the progression-free survival (PFS) was 78.3% after one year, 54.9% after three years, and 42.6% after five years; local control rate (LCR) was 80.9% after one year, 62.5% after three years, and 52.0% after five years. T4a patients showed better OS, PFS and LCR than T4b patients, with statistically significant differences (χ2=8.10, 8.27, and 6.64, respectively, all P<0.05). Cox multivariate regression analysis showed that lymph node metastasis was an independent factor affecting prognosis (χ2=10.21, P<0.05). Conclusion: Non-surgical comprehensive treatment can provide with another option of radical treatment for locally advanced hypopharyngeal carcinoma with cervical esophagus invasion, offering the patients higher rate of larynx and esophageal preservation with tolerable side effects.
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Affiliation(s)
- Z Y Geng
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - N X Chen
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - W You
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - K Liu
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - X Gu
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - J Wei
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - L Ma
- Department of Radiology, the First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - X X Zhang
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
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Shen F, Qin Y, Wang R, Huang X, Wang Y, Gao T, He J, Zhou Y, Jiao Y, Wei J, Li L, Yang X. Comparative genomics reveals a unique nitrogen-carbon balance system in Asteraceae. Nat Commun 2023; 14:4334. [PMID: 37474573 PMCID: PMC10359422 DOI: 10.1038/s41467-023-40002-9] [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: 10/12/2022] [Accepted: 07/07/2023] [Indexed: 07/22/2023] Open
Abstract
The Asteraceae (daisy family) is one of the largest families of plants. The genetic basis for its high biodiversity and excellent adaptability has not been elucidated. Here, we compare the genomes of 29 terrestrial plant species, including two de novo chromosome-scale genome assemblies for stem lettuce, a member of Asteraceae, and Scaevola taccada, a member of Goodeniaceae that is one of the closest outgroups of Asteraceae. We show that Asteraceae originated ~80 million years ago and experienced repeated paleopolyploidization. PII, the universal regulator of nitrogen-carbon (N-C) assimilation present in almost all domains of life, has conspicuously lost across Asteraceae. Meanwhile, Asteraceae has stepwise upgraded the N-C balance system via paleopolyploidization and tandem duplications of key metabolic genes, resulting in enhanced nitrogen uptake and fatty acid biosynthesis. In addition to suggesting a molecular basis for their ecological success, the unique N-C balance system reported for Asteraceae offers a potential crop improvement strategy.
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Affiliation(s)
- Fei Shen
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, 100097, Beijing, China
| | - Yajuan Qin
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, 100097, Beijing, China
| | - Rui Wang
- Beijing Key Laboratory of Development and Quality Control of Ornamental Crops, College of Horticulture, China Agricultural University, 100193, Beijing, China
| | - Xin Huang
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, 100097, Beijing, China
| | - Ying Wang
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, 100097, Beijing, China
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agricultural Sciences, Peking University, 100871, Beijing, China
| | - Tiangang Gao
- State Key Laboratory of Evolutionary and Systematic Botany, Institute of Botany, the Chinese Academy of Sciences, 100093, Beijing, China
| | - Junna He
- Beijing Key Laboratory of Development and Quality Control of Ornamental Crops, College of Horticulture, China Agricultural University, 100193, Beijing, China
| | - Yue Zhou
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agricultural Sciences, Peking University, 100871, Beijing, China
| | - Yuannian Jiao
- State Key Laboratory of Evolutionary and Systematic Botany, Institute of Botany, the Chinese Academy of Sciences, 100093, Beijing, China
| | - Jianhua Wei
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, 100097, Beijing, China.
| | - Lei Li
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agricultural Sciences, Peking University, 100871, Beijing, China.
| | - Xiaozeng Yang
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, 100097, Beijing, China.
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22
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Weng F, Wei J, Sang M, Gao X, Zhang P, Fu Q. Lessons from the diagnosis and treatment of severe immune checkpoint inhibitor-associated pneumonia: a case report. Immunotherapy 2023. [PMID: 37337737 DOI: 10.2217/imt-2023-0030] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2023] Open
Abstract
Herein, we report a case of an elderly male patient who underwent extended radical resection of cardiac carcinoma after regular chemotherapy combined with sintilimab (PD-1 monoclonal antibody) immunotherapy complicated with severe pneumonitis postoperatively. We performed several treatments for aspiration pneumonitis; however, the patient's pulmonary infection and oxygenation were not efficiently improved. The multidisciplinary team considered it an immune checkpoint inhibitor-associated pneumonitis after diagnosis and treatment and then modified the treatment regimen. The pulmonary inflammation was effectively controlled with improved oxygenation; the patient was gradually weaned from the ventilator and finally discharged. The possibility of immune checkpoint inhibitor-associated pneumonitis should be fully considered particularly for patients with a history of immunosuppressive therapy with clinical symptoms of severe pneumonitis.
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Affiliation(s)
- Fengxia Weng
- The Department of SICU, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310003, China
| | - Jianhua Wei
- The Department of SICU, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310003, China
| | - Ming Sang
- The Department of SICU, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310003, China
| | - Xin Gao
- The Department of SICU, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310003, China
| | - Ping Zhang
- The Department of SICU, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310003, China
| | - Qinghui Fu
- The Department of SICU, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, 310003, China
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23
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He Q, Tang S, Zhi H, Chen J, Zhang J, Liang H, Alam O, Li H, Zhang H, Xing L, Li X, Zhang W, Wang H, Shi J, Du H, Wu H, Wang L, Yang P, Xing L, Yan H, Song Z, Liu J, Wang H, Tian X, Qiao Z, Feng G, Guo R, Zhu W, Ren Y, Hao H, Li M, Zhang A, Guo E, Yan F, Li Q, Liu Y, Tian B, Zhao X, Jia R, Feng B, Zhang J, Wei J, Lai J, Jia G, Purugganan M, Diao X. A graph-based genome and pan-genome variation of the model plant Setaria. Nat Genet 2023:10.1038/s41588-023-01423-w. [PMID: 37291196 DOI: 10.1038/s41588-023-01423-w] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 05/08/2023] [Indexed: 06/10/2023]
Abstract
Setaria italica (foxtail millet), a founder crop of East Asian agriculture, is a model plant for C4 photosynthesis and developing approaches to adaptive breeding across multiple climates. Here we established the Setaria pan-genome by assembling 110 representative genomes from a worldwide collection. The pan-genome is composed of 73,528 gene families, of which 23.8%, 42.9%, 29.4% and 3.9% are core, soft core, dispensable and private genes, respectively; 202,884 nonredundant structural variants were also detected. The characterization of pan-genomic variants suggests their importance during foxtail millet domestication and improvement, as exemplified by the identification of the yield gene SiGW3, where a 366-bp presence/absence promoter variant accompanies gene expression variation. We developed a graph-based genome and performed large-scale genetic studies for 68 traits across 13 environments, identifying potential genes for millet improvement at different geographic sites. These can be used in marker-assisted breeding, genomic selection and genome editing to accelerate crop improvement under different climatic conditions.
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Affiliation(s)
- Qiang He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Sha Tang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hui Zhi
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jinfeng Chen
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jun Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hongkai Liang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ornob Alam
- Center for Genomics and Systems Biology, New York University, New York City, NY, USA
| | - Hongbo Li
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Hui Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- College of Agronomy, Northwest A & F University, Yangling, China
| | - Lihe Xing
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xukai Li
- College of Life Sciences, Shanxi Agricultural University, Taigu, China
| | - Wei Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hailong Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Junpeng Shi
- State Key Laboratory of Plant Physiology and Biochemistry & National Maize Improvement Center, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, China
| | - Huilong Du
- School of Life Sciences, Institute of Life Sciences and Green Development, Hebei University, Baoding, China
| | - Hongpo Wu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Liwei Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ping Yang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lu Xing
- Anyang Academy of Agriculture Sciences, Anyang, China
| | - Hongshan Yan
- Anyang Academy of Agriculture Sciences, Anyang, China
| | | | - Jinrong Liu
- Anyang Academy of Agriculture Sciences, Anyang, China
| | - Haigang Wang
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, China
| | - Xiang Tian
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, China
| | - Zhijun Qiao
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, China
| | - Guojun Feng
- Research Institute of Cereal Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
| | - Ruifeng Guo
- Institute of High Latitude Crops, Shanxi Agricultural University, Datong, China
| | - Wenjuan Zhu
- Institute of High Latitude Crops, Shanxi Agricultural University, Datong, China
| | - Yuemei Ren
- Institute of High Latitude Crops, Shanxi Agricultural University, Datong, China
| | - Hongbo Hao
- Institute of Dry-Land Farming, Hebei Academy of Agricultural and Forestry Sciences, Hengshui, China
| | - Mingzhe Li
- Institute of Dry-Land Farming, Hebei Academy of Agricultural and Forestry Sciences, Hengshui, China
| | - Aiying Zhang
- Millet Research Institute, Shanxi Agricultural University, Changzhi, China
| | - Erhu Guo
- Millet Research Institute, Shanxi Agricultural University, Changzhi, China
| | - Feng Yan
- Qiqihar Sub-Academy of Heilongjiang Academy of Agricultural Sciences, Qiqihar, China
| | - Qingquan Li
- Qiqihar Sub-Academy of Heilongjiang Academy of Agricultural Sciences, Qiqihar, China
| | - Yanli Liu
- Cangzhou Academy of Agriculture and Forestry Sciences, Cangzhou, China
| | - Bohong Tian
- Cangzhou Academy of Agriculture and Forestry Sciences, Cangzhou, China
| | - Xiaoqin Zhao
- Dingxi Academy of Agricultural Sciences, Dingxi, China
| | - Ruiling Jia
- Dingxi Academy of Agricultural Sciences, Dingxi, China
| | - Baili Feng
- College of Agronomy, Northwest A & F University, Yangling, China
| | - Jiewei Zhang
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Jianhua Wei
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Jinsheng Lai
- State Key Laboratory of Plant Physiology and Biochemistry & National Maize Improvement Center, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, China
| | - Guanqing Jia
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Michael Purugganan
- Center for Genomics and Systems Biology, New York University, New York City, NY, USA.
- Center for Genomics and Systems Biology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
| | - Xianmin Diao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
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Aguilar M, Ali Cavasonza L, Alpat B, Ambrosi G, Arruda L, Attig N, Bagwell C, Barao F, Barrin L, Bartoloni A, Başeğmez-du Pree S, Battiston R, Belyaev N, Berdugo J, Bertucci B, Bindi V, Bollweg K, Bolster J, Borchiellini M, Borgia B, Boschini MJ, Bourquin M, Bueno EF, Burger J, Burger WJ, Cai XD, Capell M, Casaus J, Castellini G, Cervelli F, Chang YH, Chen GM, Chen GR, Chen H, Chen HS, Chen Y, Cheng L, Chou HY, Chouridou S, Choutko V, Chung CH, Clark C, Coignet G, Consolandi C, Contin A, Corti C, Cui Z, Dadzie K, Dass A, Delgado C, Della Torre S, Demirköz MB, Derome L, Di Falco S, Di Felice V, Díaz C, Dimiccoli F, von Doetinchem P, Dong F, Donnini F, Duranti M, Egorov A, Eline A, Faldi F, Feng J, Fiandrini E, Fisher P, Formato V, Gámez C, García-López RJ, Gargiulo C, Gast H, Gervasi M, Giovacchini F, Gómez-Coral DM, Gong J, Goy C, Grabski V, Grandi D, Graziani M, Guracho AN, Haino S, Han KC, Hashmani RK, He ZH, Heber B, Hsieh TH, Hu JY, Huang BW, Incagli M, Jang WY, Jia Y, Jinchi H, Karagöz G, Khiali B, Kim GN, Kirn T, Kounina O, Kounine A, Koutsenko V, Krasnopevtsev D, Kuhlman A, Kulemzin A, La Vacca G, Laudi E, Laurenti G, LaVecchia G, Lazzizzera I, Lee HT, Lee SC, Li HL, Li JQ, Li M, Li M, Li Q, Li Q, Li QY, Li S, Li SL, Li JH, Li ZH, Liang J, Liang MJ, Lin CH, Lippert T, Liu JH, Lu SQ, Lu YS, Luebelsmeyer K, Luo JZ, Luo SD, Luo X, Machate F, Mañá C, Marín J, Marquardt J, Martin T, Martínez G, Masi N, Maurin D, Medvedeva T, Menchaca-Rocha A, Meng Q, Mikhailov VV, Molero M, Mott P, Mussolin L, Negrete J, Nikonov N, Nozzoli F, Ocampo-Peleteiro J, Oliva A, Orcinha M, Ottupara MA, Palermo M, Palmonari F, Paniccia M, Pashnin A, Pauluzzi M, Pensotti S, Plyaskin V, Poluianov S, Qin X, Qu ZY, Quadrani L, Rancoita PG, Rapin D, Reina Conde A, Robyn E, Romaneehsen L, Rozhkov A, Rozza D, Sagdeev R, Schael S, Schultz von Dratzig A, Schwering G, Seo ES, Shan BS, Siedenburg T, Song JW, Song XJ, Sonnabend R, Strigari L, Su T, Sun Q, Sun ZT, Tacconi M, Tang XW, Tang ZC, Tian J, Tian Y, Ting SCC, Ting SM, Tomassetti N, Torsti J, Urban T, Usoskin I, Vagelli V, Vainio R, Valencia-Otero M, Valente E, Valtonen E, Vázquez Acosta M, Vecchi M, Velasco M, Vialle JP, Wang CX, Wang L, Wang LQ, Wang NH, Wang QL, Wang S, Wang X, Wang Y, Wang ZM, Wei J, Weng ZL, Wu H, Wu Y, Xiao JN, Xiong RQ, Xiong XZ, Xu W, Yan Q, Yang HT, Yang Y, Yashin II, Yelland A, Yi H, You YH, Yu YM, Yu ZQ, Zannoni M, Zhang C, Zhang F, Zhang FZ, Zhang J, Zhang JH, Zhang Z, Zhao F, Zheng C, Zheng ZM, Zhuang HL, Zhukov V, Zichichi A, Zuccon P. Properties of Cosmic-Ray Sulfur and Determination of the Composition of Primary Cosmic-Ray Carbon, Neon, Magnesium, and Sulfur: Ten-Year Results from the Alpha Magnetic Spectrometer. Phys Rev Lett 2023; 130:211002. [PMID: 37295095 DOI: 10.1103/physrevlett.130.211002] [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: 02/09/2023] [Revised: 03/28/2023] [Accepted: 04/27/2023] [Indexed: 06/12/2023]
Abstract
We report the properties of primary cosmic-ray sulfur (S) in the rigidity range 2.15 GV to 3.0 TV based on 0.38×10^{6} sulfur nuclei collected by the Alpha Magnetic Spectrometer experiment (AMS). We observed that above 90 GV the rigidity dependence of the S flux is identical to the rigidity dependence of Ne-Mg-Si fluxes, which is different from the rigidity dependence of the He-C-O-Fe fluxes. We found that, similar to N, Na, and Al cosmic rays, over the entire rigidity range, the traditional primary cosmic rays S, Ne, Mg, and C all have sizeable secondary components, and the S, Ne, and Mg fluxes are well described by the weighted sum of the primary silicon flux and the secondary fluorine flux, and the C flux is well described by the weighted sum of the primary oxygen flux and the secondary boron flux. The primary and secondary contributions of the traditional primary cosmic-ray fluxes of C, Ne, Mg, and S (even Z elements) are distinctly different from the primary and secondary contributions of the N, Na, and Al (odd Z elements) fluxes. The abundance ratio at the source for S/Si is 0.167±0.006, for Ne/Si is 0.833±0.025, for Mg/Si is 0.994±0.029, and for C/O is 0.836±0.025. These values are determined independent of cosmic-ray propagation.
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Affiliation(s)
- M Aguilar
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - L Ali Cavasonza
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - B Alpat
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - G Ambrosi
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - L Arruda
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - N Attig
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - C Bagwell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Barao
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - L Barrin
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | | | - S Başeğmez-du Pree
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - R Battiston
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - N Belyaev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Berdugo
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - B Bertucci
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - V Bindi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Bollweg
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - J Bolster
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Borchiellini
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - B Borgia
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - M J Boschini
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - M Bourquin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - E F Bueno
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - J Burger
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - X D Cai
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Capell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Casaus
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | | | - Y H Chang
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - G M Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - G R Chen
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Chen
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - H S Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Chen
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Cheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Y Chou
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - S Chouridou
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - V Choutko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C H Chung
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Clark
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Coignet
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C Consolandi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Contin
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - C Corti
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - Z Cui
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - K Dadzie
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Dass
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - C Delgado
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - M B Demirköz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - L Derome
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | | | - V Di Felice
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Díaz
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - P von Doetinchem
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Dong
- Southeast University (SEU), Nanjing 210096, China
| | - F Donnini
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - M Duranti
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - A Egorov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Eline
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Faldi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Feng
- Sun Yat-Sen University (SYSU), Guangzhou 510275, China
| | - E Fiandrini
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - P Fisher
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Formato
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Gámez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - R J García-López
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - C Gargiulo
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - H Gast
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - M Gervasi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - F Giovacchini
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - D M Gómez-Coral
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - J Gong
- Southeast University (SEU), Nanjing 210096, China
| | - C Goy
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - V Grabski
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - D Grandi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - M Graziani
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | | | - S Haino
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - K C Han
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - R K Hashmani
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - Z H He
- Sun Yat-Sen University (SYSU), Guangzhou 510275, China
| | - B Heber
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T H Hsieh
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Y Hu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - B W Huang
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - M Incagli
- INFN Sezione di Pisa, 56100 Pisa, Italy
| | - W Y Jang
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Yi Jia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Jinchi
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - G Karagöz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - B Khiali
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - G N Kim
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Th Kirn
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - O Kounina
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kounine
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Koutsenko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Krasnopevtsev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kuhlman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Kulemzin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G La Vacca
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - E Laudi
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - G Laurenti
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - G LaVecchia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - I Lazzizzera
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - H T Lee
- Academia Sinica Grid Center (ASGC), Nankang, Taipei 11529, Taiwan
| | - S C Lee
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - H L Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - M Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - M Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - Q Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q Y Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - S Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - S L Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z H Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Liang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - M J Liang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C H Lin
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - T Lippert
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - J H Liu
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Q Lu
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - Y S Lu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - K Luebelsmeyer
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Z Luo
- Southeast University (SEU), Nanjing 210096, China
| | - S D Luo
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - Xi Luo
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - F Machate
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Mañá
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marín
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marquardt
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T Martin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Martínez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - N Masi
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - D Maurin
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - T Medvedeva
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Menchaca-Rocha
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - Q Meng
- Southeast University (SEU), Nanjing 210096, China
| | - V V Mikhailov
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow, 115409 Russia
| | - M Molero
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - P Mott
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - L Mussolin
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Negrete
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - N Nikonov
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | | | - J Ocampo-Peleteiro
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - A Oliva
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - M Orcinha
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - M A Ottupara
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - M Palermo
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Palmonari
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - M Paniccia
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - A Pashnin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pauluzzi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - S Pensotti
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - V Plyaskin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - S Poluianov
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - X Qin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Y Qu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Quadrani
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P G Rancoita
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - D Rapin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | | | - E Robyn
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - L Romaneehsen
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - A Rozhkov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Rozza
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - R Sagdeev
- East-West Center for Space Science, University of Maryland, College Park, Maryland 20742, USA
| | - S Schael
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | | | - G Schwering
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - E S Seo
- IPST, University of Maryland, College Park, Maryland 20742, USA
| | - B S Shan
- Beihang University (BUAA), Beijing 100191, China
| | - T Siedenburg
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J W Song
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - X J Song
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - R Sonnabend
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - L Strigari
- INFN Sezione di Roma 1, 00185 Roma, Italy
| | - T Su
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Sun
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z T Sun
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Tacconi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - X W Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - Z C Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - J Tian
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - Y Tian
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - Samuel C C Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - S M Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Tomassetti
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Torsti
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - T Urban
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - I Usoskin
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - V Vagelli
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Agenzia Spaziale Italiana (ASI), 00133 Roma, Italy
| | - R Vainio
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Valencia-Otero
- Physics Department and Center for High Energy and High Field Physics, National Central University (NCU), Tao Yuan 32054, Taiwan
| | - E Valente
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - E Valtonen
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Vázquez Acosta
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - M Vecchi
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - M Velasco
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J P Vialle
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C X Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - L Q Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - N H Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Wang
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - X Wang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Yu Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z M Wang
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Wei
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z L Weng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Wu
- Southeast University (SEU), Nanjing 210096, China
| | - Y Wu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J N Xiao
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - R Q Xiong
- Southeast University (SEU), Nanjing 210096, China
| | - X Z Xiong
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - W Xu
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Yan
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H T Yang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Yang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - I I Yashin
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow, 115409 Russia
| | - A Yelland
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Yi
- Southeast University (SEU), Nanjing 210096, China
| | - Y H You
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y M Yu
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Q Yu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - M Zannoni
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - C Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Z Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Zhang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - J H Zhang
- Southeast University (SEU), Nanjing 210096, China
| | - Z Zhang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Zhao
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Zheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z M Zheng
- Beihang University (BUAA), Beijing 100191, China
| | - H L Zhuang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - V Zhukov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - A Zichichi
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P Zuccon
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
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Wang Y, Li F, Hu Y, Sun Y, Tian C, Cao Y, Wang W, Feng W, Yan J, Wei J, Du X, Wang H. Clinical outcomes of intra-arterial chemotherapy combined with iodine-125 seed brachytherapy in the treatment of malignant superior vena cava syndrome caused by small cell lung cancer. Cancer Radiother 2023:S1278-3218(23)00068-9. [PMID: 37230904 DOI: 10.1016/j.canrad.2023.01.008] [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: 10/13/2022] [Revised: 12/29/2022] [Accepted: 01/14/2023] [Indexed: 05/27/2023]
Abstract
PURPOSE Currently there is a lack of effective treatment strategies for malignant superior vena cava syndrome (SVCS). We aim to investigate the therapeutic effect of intra-arterial chemotherapy (IAC) combined with the Single Needle Cone Puncture method for the 125I brachytherapy (SNCP-125I) in treating SVCS caused by stage III/IV Small Cell Lung Cancer (SCLC). MATERIALS AND METHODS Sixty-two patients with SCLC who developed SVCS from January 2014 to October 2020 were investigated in this study. Out of these 62 patients, 32 underwent IAC combined with SNCP-125I (Group A) and 30 patients received IAC treatment only (Group B). Clinical symptom remission, response rate, disease control rate, and overall survival of these two groups of patients were analyzed and compared. RESULTS The remission rate of symptoms including dyspnea, edema, dysphagia, pectoralgia, and cough of malignant SVCS in Group A was significantly higher than that in Group B (70.5 and 50.53%, P=0.0004, respectively). The disease control rates (DCR, PR+CR+SD) of Group A and B were 87.5 and 66.7%, respectively (P=0.049). Response rates (RR, PR+CR) of Group A and Group B were 71.9 and 40% (P=0.011). The median overall survival (OS) of Group A was significantly longer than that in Group B which was 18 months compared to 11.75 months (P=0.0360). CONCLUSIONS IAC treatment effectively treated malignant SVCS in advanced SCLC patients. IAC combined with SNCP-125I in the treatment of malignant SVCS caused by SCLC showed improved clinical outcomes including symptom remission and local tumor control rates than IAC treatment only in treating SCLC-induced malignant SVCS.
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Affiliation(s)
- Y Wang
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - F Li
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China; Core Laboratory, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China.
| | - Y Hu
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China; Shanxi Mecidal University, Graduate Research Institute, 030604 Shanxi, China
| | - Y Sun
- Department of Melanoma, University of Texas M.D. Anderson Cancer Center, Houston, TX, 77030, USA
| | - C Tian
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - Y Cao
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - W Wang
- Department of Pathology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - W Feng
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - J Yan
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - J Wei
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - X Du
- Department of Melanoma Oncology, Tianjin BeiChen Hospital, Beiyi Road, Beichen District, 300400 Tianjin, China
| | - H Wang
- Department of Oncology, Tianjin Union Medical Center, 300191 Tianjin, China; Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin, China
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26
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Aguilar M, Cavasonza LA, Ambrosi G, Arruda L, Attig N, Bagwell C, Barao F, Barrin L, Bartoloni A, Başeğmez-du Pree S, Battiston R, Behlmann M, Belyaev N, Berdugo J, Bertucci B, Bindi V, Bollweg K, Bolster J, Borgia B, Boschini MJ, Bourquin M, Bueno EF, Burger J, Burger WJ, Burmeister S, Cai XD, Capell M, Casaus J, Castellini G, Cervelli F, Chang YH, Chen GM, Chen GR, Chen HS, Chen Y, Cheng L, Chou HY, Chouridou S, Choutko V, Chung CH, Clark C, Coignet G, Consolandi C, Contin A, Corti C, Cui Z, Dadzie K, Dass A, Delgado C, Della Torre S, Demirköz MB, Derome L, Di Falco S, Di Felice V, Díaz C, Dimiccoli F, von Doetinchem P, Dong F, Donnini F, Duranti M, Egorov A, Eline A, Faldi F, Feng J, Fiandrini E, Fisher P, Formato V, Freeman C, Gámez C, García-López RJ, Gargiulo C, Gast H, Gervasi M, Giovacchini F, Gómez-Coral DM, Gong J, Goy C, Grabski V, Grandi D, Graziani M, Guracho AN, Haino S, Han KC, Hashmani RK, He ZH, Heber B, Hsieh TH, Hu JY, Incagli M, Jang WY, Jia Y, Jinchi H, Karagöz G, Khiali B, Kim GN, Kirn T, Kounina O, Kounine A, Koutsenko V, Krasnopevtsev D, Kuhlman A, Kulemzin A, La Vacca G, Laudi E, Laurenti G, LaVecchia G, Lazzizzera I, Lee HT, Lee SC, Li HL, Li JQ, Li M, Li Q, Li QY, Li S, Li SL, Li JH, Li ZH, Liang J, Liang MJ, Light C, Lin CH, Lippert T, Liu JH, Lu SQ, Lu YS, Luebelsmeyer K, Luo JZ, Luo X, Machate F, Mañá C, Marín J, Marquardt J, Martin T, Martínez G, Masi N, Maurin D, Medvedeva T, Menchaca-Rocha A, Meng Q, Mikhailov VV, Molero M, Mott P, Mussolin L, Negrete J, Nikonov N, Nozzoli F, Ocampo-Peleteiro J, Oliva A, Orcinha M, Palermo M, Palmonari F, Paniccia M, Pashnin A, Pauluzzi M, Pensotti S, Plyaskin V, Pohl M, Poluianov S, Qin X, Qu ZY, Quadrani L, Rancoita PG, Rapin D, Conde AR, Robyn E, Rosier-Lees S, Rozhkov A, Rozza D, Sagdeev R, Schael S, von Dratzig AS, Schwering G, Seo ES, Shan BS, Siedenburg T, Song JW, Song XJ, Sonnabend R, Strigari L, Su T, Sun Q, Sun ZT, Tacconi M, Tang XW, Tang ZC, Tian J, Ting SCC, Ting SM, Tomassetti N, Torsti J, Urban T, Usoskin I, Vagelli V, Vainio R, Valencia-Otero M, Valente E, Valtonen E, Vázquez Acosta M, Vecchi M, Velasco M, Vialle JP, Wang CX, Wang L, Wang LQ, Wang NH, Wang QL, Wang S, Wang X, Wang Y, Wang ZM, Wei J, Weng ZL, Wu H, Xiong RQ, Xu W, Yan Q, Yang Y, Yashin II, Yelland A, Yi H, Yu YM, Yu ZQ, Zannoni M, Zhang C, Zhang F, Zhang FZ, Zhang JH, Zhang Z, Zhao F, Zheng C, Zheng ZM, Zhuang HL, Zhukov V, Zichichi A, Zuccon P. Temporal Structures in Electron Spectra and Charge Sign Effects in Galactic Cosmic Rays. Phys Rev Lett 2023; 130:161001. [PMID: 37154630 DOI: 10.1103/physrevlett.130.161001] [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: 09/22/2022] [Revised: 11/21/2022] [Accepted: 02/09/2023] [Indexed: 05/10/2023]
Abstract
We present the precision measurements of 11 years of daily cosmic electron fluxes in the rigidity interval from 1.00 to 41.9 GV based on 2.0×10^{8} electrons collected with the Alpha Magnetic Spectrometer (AMS) aboard the International Space Station. The electron fluxes exhibit variations on multiple timescales. Recurrent electron flux variations with periods of 27 days, 13.5 days, and 9 days are observed. We find that the electron fluxes show distinctly different time variations from the proton fluxes. Remarkably, a hysteresis between the electron flux and the proton flux is observed with a significance of greater than 6σ at rigidities below 8.5 GV. Furthermore, significant structures in the electron-proton hysteresis are observed corresponding to sharp structures in both fluxes. This continuous daily electron data provide unique input to the understanding of the charge sign dependence of cosmic rays over an 11-year solar cycle.
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Affiliation(s)
- M Aguilar
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - L Ali Cavasonza
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - G Ambrosi
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - L Arruda
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - N Attig
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - C Bagwell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Barao
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - L Barrin
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | | | - S Başeğmez-du Pree
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - R Battiston
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - M Behlmann
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Belyaev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Berdugo
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - B Bertucci
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - V Bindi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Bollweg
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - J Bolster
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - B Borgia
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - M J Boschini
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - M Bourquin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - E F Bueno
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - J Burger
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - S Burmeister
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - X D Cai
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Capell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Casaus
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | | | - Y H Chang
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - G M Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - G R Chen
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H S Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Chen
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Cheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Y Chou
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - S Chouridou
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - V Choutko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C H Chung
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Clark
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Coignet
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C Consolandi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Contin
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - C Corti
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - Z Cui
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - K Dadzie
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Dass
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - C Delgado
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - M B Demirköz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
| | - L Derome
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | | | - V Di Felice
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Díaz
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - P von Doetinchem
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Dong
- Southeast University (SEU), Nanjing 210096, China
| | - F Donnini
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - M Duranti
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - A Egorov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Eline
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Faldi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Feng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - E Fiandrini
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - P Fisher
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Formato
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Freeman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - C Gámez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - R J García-López
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, Tenerife, Spain and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - C Gargiulo
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - H Gast
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - M Gervasi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - F Giovacchini
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - D M Gómez-Coral
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - J Gong
- Southeast University (SEU), Nanjing 210096, China
| | - C Goy
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - V Grabski
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - D Grandi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - M Graziani
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | | | - S Haino
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - K C Han
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - R K Hashmani
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
| | - Z H He
- Sun Yat-Sen University (SYSU), Guangzhou, 510275, China
| | - B Heber
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T H Hsieh
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Y Hu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Incagli
- INFN Sezione di Pisa, 56100 Pisa, Italy
| | - W Y Jang
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Yi Jia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Jinchi
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - G Karagöz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
| | - B Khiali
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - G N Kim
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Th Kirn
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - O Kounina
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kounine
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Koutsenko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Krasnopevtsev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kuhlman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Kulemzin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G La Vacca
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - E Laudi
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - G Laurenti
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - G LaVecchia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - I Lazzizzera
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - H T Lee
- Academia Sinica Grid Center (ASGC), Nankang, Taipei 11529, Taiwan
| | - S C Lee
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - H L Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - M Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - Q Y Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - S Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - S L Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z H Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Liang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - M J Liang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Light
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - C H Lin
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - T Lippert
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - J H Liu
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Q Lu
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - Y S Lu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - K Luebelsmeyer
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Z Luo
- Southeast University (SEU), Nanjing 210096, China
| | - Xi Luo
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - F Machate
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Mañá
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marín
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marquardt
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T Martin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Martínez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - N Masi
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - D Maurin
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - T Medvedeva
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Menchaca-Rocha
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - Q Meng
- Southeast University (SEU), Nanjing 210096, China
| | - V V Mikhailov
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow, 115409 Russia
| | - M Molero
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, Tenerife, Spain and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - P Mott
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - L Mussolin
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Negrete
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - N Nikonov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | | | - J Ocampo-Peleteiro
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - A Oliva
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - M Orcinha
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - M Palermo
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Palmonari
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - M Paniccia
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - A Pashnin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pauluzzi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - S Pensotti
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - V Plyaskin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pohl
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - S Poluianov
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - X Qin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Y Qu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Quadrani
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P G Rancoita
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - D Rapin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | | | - E Robyn
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - S Rosier-Lees
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - A Rozhkov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Rozza
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - R Sagdeev
- East-West Center for Space Science, University of Maryland, College Park, Maryland 20742, USA
| | - S Schael
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | | | - G Schwering
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - E S Seo
- IPST, University of Maryland, College Park, Maryland 20742, USA
| | - B S Shan
- Beihang University (BUAA), Beijing 100191, China
| | - T Siedenburg
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J W Song
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - X J Song
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - R Sonnabend
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - L Strigari
- INFN Sezione di Roma 1, 00185 Roma, Italy
| | - T Su
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Sun
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z T Sun
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Tacconi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - X W Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - Z C Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - J Tian
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - Samuel C C Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - S M Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Tomassetti
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Torsti
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - T Urban
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - I Usoskin
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - V Vagelli
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Agenzia Spaziale Italiana (ASI), 00133 Roma, Italy
| | - R Vainio
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Valencia-Otero
- Physics Department and Center for High Energy and High Field Physics, National Central University (NCU), Tao Yuan 32054, Taiwan
| | - E Valente
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - E Valtonen
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Vázquez Acosta
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, Tenerife, Spain and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - M Vecchi
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - M Velasco
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J P Vialle
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C X Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - L Q Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - N H Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Wang
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - X Wang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Yu Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z M Wang
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Wei
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z L Weng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Wu
- Southeast University (SEU), Nanjing 210096, China
| | - R Q Xiong
- Southeast University (SEU), Nanjing 210096, China
| | - W Xu
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Yan
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Y Yang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - I I Yashin
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow, 115409 Russia
| | - A Yelland
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Yi
- Southeast University (SEU), Nanjing 210096, China
| | - Y M Yu
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Q Yu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - M Zannoni
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - C Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Z Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Zhang
- Southeast University (SEU), Nanjing 210096, China
| | - Z Zhang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Zhao
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Zheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z M Zheng
- Beihang University (BUAA), Beijing 100191, China
| | - H L Zhuang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - V Zhukov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - A Zichichi
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P Zuccon
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
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Wei J, Xu C, Wang YM, Wu JF. [Clinicopathological features and the diagnostic value of SSX_CT immunohistochemistry on testicular spermatogenic tumors]. Zhonghua Bing Li Xue Za Zhi 2023; 52:390-392. [PMID: 36973201 DOI: 10.3760/cma.j.cn112151-20220807-00681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Affiliation(s)
- J Wei
- Department of Pathology, the First Affiliated Hospital of Air Force Military Medical University, Xi'an 710033, China
| | - C Xu
- Department of Knee Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an 710054, China
| | - Y M Wang
- Department of Pathology, the First Affiliated Hospital of Air Force Military Medical University, Xi'an 710033, China
| | - J F Wu
- Department of Pathology, the First Affiliated Hospital of Air Force Military Medical University, Xi'an 710033, China
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Yang Z, Wei J, He Y, Ren L, Chen S, Deng Y, Zang N, Liu E. Identification of functional pathways and potential genes associated with interferon signaling during human adenovirus type 7 infection by weighted gene coexpression network analysis. Arch Virol 2023; 168:130. [PMID: 37017816 PMCID: PMC10076410 DOI: 10.1007/s00705-023-05707-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 12/15/2022] [Indexed: 04/06/2023]
Abstract
Human adenovirus type 7 (HAdV-7) can cause severe pneumonia and complications in children. However, the mechanism of pathogenesis and the genes involved remain largely unknown. We collected HAdV-7-infected and mock-infected A549 cells at 24, 48, and 72 hours postinfection (hpi) for RNA sequencing (RNA-Seq) and identified potential genes and functional pathways associated with HAdV-7 infection using weighted gene coexpression network analysis (WGCNA). Based on bioinformatics analysis, 12 coexpression modules were constructed by WGCNA, with the blue, tan, and brown modules significantly positively correlated with adenovirus infection at 24, 48, and 72 hpi, respectively. Functional enrichment analysis indicated that the blue module was mainly enriched in DNA replication and viral processes, the tan module was largely enriched in metabolic pathways and regulation of superoxide radical removal, and the brown module was predominantly enriched in regulation of cell death. qPCR was used to determine transcript abundance of some identified hub genes, and the results were consistent with those from RNA-Seq. Comprehensively analyzing hub genes and differentially expressed genes in the GSE68004 dataset, we identified SOCS3, OASL, ISG15, and IFIT1 as potential candidate genes for use as biomarkers or drug targets in HAdV-7 infection. We propose a multi-target inhibition of the interferon signaling mechanism to explain the association of HAdV-7 infection with the severity of clinical consequences. This study has allowed us to construct a framework of coexpression gene modules in A549 cells infected with HAdV-7, thus providing a basis for identifying potential genes and pathways involved in adenovirus infection and for investigating the pathogenesis of adenovirus-associated diseases.
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Affiliation(s)
- Zhongying Yang
- Department of Respiratory Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders,Chongqing Key Laboratory of Child Infection and Immunity, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China
| | - Jianhua Wei
- Department of Respiratory Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders,Chongqing Key Laboratory of Child Infection and Immunity, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China
| | - Yu He
- Department of Respiratory Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders,Chongqing Key Laboratory of Child Infection and Immunity, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China
| | - Luo Ren
- Department of Respiratory Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders,Chongqing Key Laboratory of Child Infection and Immunity, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China
| | - Shiyi Chen
- Department of Respiratory Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders,Chongqing Key Laboratory of Child Infection and Immunity, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China
| | - Yu Deng
- Department of Respiratory Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders,Chongqing Key Laboratory of Child Infection and Immunity, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China
| | - Na Zang
- Department of Respiratory Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders,Chongqing Key Laboratory of Child Infection and Immunity, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China.
| | - Enmei Liu
- Department of Respiratory Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders,Chongqing Key Laboratory of Child Infection and Immunity, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China
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Abstract
OBJECTIVE The objective of this review was to answer the global prevalence of premature ovarian insufficiency (POI), and explore the associated factors including etiopathology and regions with POI. METHODS The search was conducted on reports from a total of eight databases that comprised Chinese National Knowledge Infrastructure (CNKI), Wanfang, China BioMedical Literature Database (CBM), PubMed, the Cochrane Library, Embase, Web of Science and Ovid MEDLINE® between 1946 and 2021. To analyze the source of heterogeneity, we performed subgroup analysis based on different etiologies and regions. Meta-analysis was carried out by Stata14.0 software. RESULTS The results showed that the global overall prevalence of POI among women was 3.5%. By subgroup analysis, the prevalence of POI among women with iatrogenic etiology was 11.2%, followed by autoimmunity (10.5%); the prevalence of POI by region was 11.3% at the highest in North America followed by South America (5.4%); and the prevalence of POI was 5.3% in a developing country, higher than 3.1% in a developed country. The trend of prevalence of POI over the past 20 years was on the rise (although p > 0.05). CONCLUSION We recommend that health and medical institutions strengthen public health awareness, achieve health-education goals related to POI and increase women's awareness of and attention to POI.
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Affiliation(s)
- M Li
- Department of Nosocomial Infection, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
| | - Y Zhu
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, P.R. China
- Department of Scientific Research, Children's Hospital of Fudan University, Shanghai, P.R. China
| | - J Wei
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai, P.R. China
| | - L Chen
- Department of Nosocomial Infection, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
| | - S Chen
- Department of Nosocomial Infection, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
| | - D Lai
- Department of Nosocomial Infection, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
- Shanghai Key Laboratory of Embryo Original Diseases, The International Peace Maternity & Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
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Hao Y, Si J, Wei J, Gu X, Wang W, Zhang Y, Guan Y, Huang H, Xu C, Song Z. 221P Comparison of efficacy and safety of carboplatin combined with nab-paclitaxel or paclitaxel as first-line therapy for advanced thymic epithelial tumors. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00474-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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Hao Y, Si J, Jin J, Wei J, Xiang J, Xu C, Song Z. 220P Comparison of efficacy and safety of platinum-based chemotherapy as first-line therapy between B3 thymoma and thymic carcinoma. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00473-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
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Liu H, Chen R, Li H, Lin J, Wang Y, Han M, Wang T, Wang H, Chen Q, Chen F, Chu P, Liang C, Ren C, Zhang Y, Yang F, Sheng Y, Wei J, Wu X, Yu G. Genome-wide identification and expression analysis of SlRR genes in response to abiotic stress in tomato. Plant Biol (Stuttg) 2023; 25:322-333. [PMID: 36457231 DOI: 10.1111/plb.13494] [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: 04/30/2022] [Accepted: 11/15/2022] [Indexed: 06/17/2023]
Abstract
The cytokinin two-component signal transduction system (TCS) is involved in many biological processes, including hormone signal transduction and plant growth regulation. Although cytokinin TCS has been well characterized in Arabidopsis thaliana, its role in tomato remains elusive. In this study, we characterized the diversity and function of response regulator (RR) genes, a critical component of TCS, in tomato. In total, we identified 31 RR genes in the tomato genome. These SlRR genes were classified into three subgroups (type-A, type-B and type-C). Various stress-responsive cis-elements were present in the tomato RR gene promoters. Their expression responses under pesticide treatment were evaluated by transcriptome analysis. Their expression under heat, cold, ABA, salinity and NaHCO3 treatments was further investigated by qRT-PCR and complemented with the available transcription data under these treatments. Specifically, SlRR13 expression was significantly upregulated under salinity, drought, cold and pesticide stress and was downregulated under ABA treatment. SlRR23 expression was induced under salt treatment, while the transcription level of SlRR1 was increased under cold and decreased under salt stress. We also found that GATA transcription factors played a significant role in the regulation of SlRR genes. Based on our results, tomato SlRR genes are involved in responses to abiotic stress in tomato and could be implemented in molecular breeding approaches to increase resistance of tomato to environmental stresses.
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Affiliation(s)
- H Liu
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - R Chen
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - H Li
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - J Lin
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - Y Wang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - M Han
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - T Wang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - H Wang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - Q Chen
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - F Chen
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - P Chu
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - C Liang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - C Ren
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - Y Zhang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - F Yang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - Y Sheng
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - J Wei
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - X Wu
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - G Yu
- Heilongjiang Bayi Agricultural University, Daqing, China
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Li R, Wang X, Yu D, Liang Q, Liu F, Zhang L, Hu B, Wei J, Liu L, Liu J, Xu H. Dietary chitosan alleviates intestinal and liver injury of hybrid sturgeon (Acipenser baerii♀ × A. schrenckii♂) induced by Aeromonas hydrophila infection. Anim Feed Sci Technol 2023. [DOI: 10.1016/j.anifeedsci.2023.115624] [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: 03/06/2023]
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Wang J, Yang Z, Liu Y, Li H, Yang X, Gao W, Zhao Q, Yang X, Wei J. The GAL/GALR2 axis promotes the perineural invasion of salivary adenoid cystic carcinoma via epithelial-to-mesenchymal transition. Cancer Med 2023; 12:4496-4509. [PMID: 36039037 PMCID: PMC9972115 DOI: 10.1002/cam4.5181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 08/11/2022] [Accepted: 08/12/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Perineural invasion (PNI) is a typical pathological characteristic of salivary adenoid cystic carcinoma (SACC) and other neurotrophic cancers. The mechanism of the neural microenvironment controlling tumor progression during the PNI process is unclear. In the present study, we investigated the role and molecular mechanisms of nerve-derived neuropeptide galanin (GAL) and its receptor (GALR2) in the regulation of PNI in SACC. METHODS Immunohistochemistry staining and clinical association studies were performed to analyze the expression of GAL and GALR2 in SACC tissues and their clinical value. Dorsal root ganglion or SH-SY5Y cells were co-cultured with SACC cells in vitro to simulate the interactions between the neural microenvironment and tumor cells, and a series of assays including transcriptome sequencing, Western blot, and Transwell were performed to investigate the role and molecular mechanism of GAL and GALR2 in the regulation of SACC cells. Moreover, both the in vitro and in vivo PNI models were established to assess the potential PNI-specific therapeutic effects by blocking the GAL/GALR2 axis. RESULTS GAL and GALR2 were highly expressed in SACC tissues, and were associated with PNI and poor prognosis in SACC patients (p < 0.05). Nerve-derived GAL activated GALR2 expression in SACC cells and induced epithelial-to-mesenchymal transition (EMT) in SACC cells. Adding human recombinant GAL to the co-culture system promoted the proliferation, migration, and invasion of SACC cells significantly, but inhibited the apoptosis of SACC cells. Adding M871, a specific antagonist of GALR2, significantly blocked the above effects (p < 0.05) and inhibited the PNI of SACC cells in vitro and in vivo (p < 0.05). CONCLUSIONS This study demonstrated that nerve-derived GAL activated GALR2 expression, and promoted EMT in SACC cells, thereby enhancing the PNI process. Interruption of the GAL/GALR2 axis might be a novel strategy for anti-PNI therapy for SACC.
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Affiliation(s)
- Jun Wang
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Zihui Yang
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Yuanyang Liu
- Senior Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Huan Li
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Xiangming Yang
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Wanpeng Gao
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Qi Zhao
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Xinjie Yang
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Jianhua Wei
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi'an, China
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Vijayan RC, Venkataraman K, Wei J, Sheth NM, Shafiq B, Siewerdsen JH, Zbijewski W, Li G, Cleary K, Uneri A. Multi-Body 3D-2D Registration for Robot-Assisted Joint Reduction: Preclinical Evaluation in the Ankle Syndesmosis. Proc SPIE Int Soc Opt Eng 2023; 12466:124661F. [PMID: 37143861 PMCID: PMC10155864 DOI: 10.1117/12.2654481] [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] [Indexed: 05/06/2023]
Abstract
Purpose Existing methods to improve the accuracy of tibiofibular joint reduction present workflow challenges, high radiation exposure, and a lack of accuracy and precision, leading to poor surgical outcomes. To address these limitations, we propose a method to perform robot-assisted joint reduction using intraoperative imaging to align the dislocated fibula to a target pose relative to the tibia. Methods The approach (1) localizes the robot via 3D-2D registration of a custom plate adapter attached to its end effector, (2) localizes the tibia and fibula using multi-body 3D-2D registration, and (3) drives the robot to reduce the dislocated fibula according to the target plan. The custom robot adapter was designed to interface directly with the fibular plate while presenting radiographic features to aid registration. Registration accuracy was evaluated on a cadaveric ankle specimen, and the feasibility of robotic guidance was assessed by manipulating a dislocated fibula in a cadaver ankle. Results Using standard AP and mortise radiographic views registration errors were measured to be less than 1 mm and 1° for the robot adapter and the ankle bones. Experiments in a cadaveric specimen revealed up to 4 mm deviations from the intended path, which was reduced to <2 mm using corrective actions guided by intraoperative imaging and 3D-2D registration. Conclusions Preclinical studies suggest that significant robot flex and tibial motion occur during fibula manipulation, motivating the use of the proposed method to dynamically correct the robot trajectory. Accurate robot registration was achieved via the use of fiducials embedded within the custom design. Future work will evaluate the approach on a custom radiolucent robot design currently under construction and verify the solution on additional cadaveric specimens.
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Affiliation(s)
- R. C. Vijayan
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
| | - K. Venkataraman
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
| | - J. Wei
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
| | - N. M. Sheth
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
| | - B. Shafiq
- Department of Orthopedic Surgery, Johns Hopkins Medicine, Baltimore MD
| | - J. H. Siewerdsen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
- Department of Imaging Physics, The University of Texas M. D. Anderson Cancer Center, Houston TX
| | - W. Zbijewski
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
| | - G. Li
- Children’s National Hospital, Washington DC
| | - K. Cleary
- Children’s National Hospital, Washington DC
| | - A. Uneri
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
- ; phone: +1-276-614-7743; website: carnegie.jhu.edu
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Guo Z, Li B, Du J, Shen F, Zhao Y, Deng Y, Kuang Z, Tao Y, Wan M, Lu X, Wang D, Wang Y, Han Y, Wei J, Li L, Guo X, Zhao C, Yang X. LettuceGDB: The community database for lettuce genetics and omics. Plant Commun 2023; 4:100425. [PMID: 35964156 PMCID: PMC9860171 DOI: 10.1016/j.xplc.2022.100425] [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: 12/27/2021] [Revised: 07/29/2022] [Accepted: 08/10/2022] [Indexed: 05/17/2023]
Abstract
As a globally popular leafy vegetable and a representative plant of the Asteraceae family, lettuce has great economic and academic significance. In the last decade, high-throughput sequencing, phenotyping, and other multi-omics data in lettuce have accumulated on a large scale, thus increasing the demand for an integrative lettuce database. Here, we report the establishment of a comprehensive lettuce database, LettuceGDB (https://www.lettucegdb.com/). As an omics data hub, the current LettuceGDB includes two reference genomes with detailed annotations; re-sequencing data from over 1000 lettuce varieties; a collection of more than 1300 worldwide germplasms and millions of accompanying phenotypic records obtained with manual and cutting-edge phenomics technologies; re-analyses of 256 RNA sequencing datasets; a complete miRNAome; extensive metabolite information for representative varieties and wild relatives; epigenetic data on the genome-wide chromatin accessibility landscape; and various lettuce research papers published in the last decade. Five hierarchically accessible functions (Genome, Genotype, Germplasm, Phenotype, and O-Omics) have been developed with a user-friendly interface to enable convenient data access. Eight built-in tools (Assembly Converter, Search Gene, BLAST, JBrowse, Primer Design, Gene Annotation, Tissue Expression, Literature, and Data) are available for data downloading and browsing, functional gene exploration, and experimental practice. A community forum is also available for information sharing, and a summary of current research progress on different aspects of lettuce is included. We believe that LettuceGDB can be a comprehensive functional database amenable to data mining and database-driven exploration, useful for both scientific research and lettuce breeding.
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Affiliation(s)
- Zhonglong Guo
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China; College of Biology and the Environment, Nanjing Forestry University, Nanjing 510275, P.R. China
| | - Bo Li
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China
| | - Jianjun Du
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Lab of Digital Plant, Beijing Research Center for Information Technology in Agriculture, Beijing 100097, P.R. China
| | - Fei Shen
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China
| | - Yongxin Zhao
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China
| | - Yang Deng
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China
| | - Zheng Kuang
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China
| | - Yihan Tao
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China
| | - Miaomiao Wan
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China
| | - Xianju Lu
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Lab of Digital Plant, Beijing Research Center for Information Technology in Agriculture, Beijing 100097, P.R. China
| | - Dong Wang
- WeiRan Biotech, Beijing 100085, P.R. China
| | - Ying Wang
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China
| | - Yingyan Han
- Beijing Key Laboratory of New Technology in Agricultural Application, Beijing University of Agriculture, Beijing 102206, P.R. China
| | - Jianhua Wei
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China
| | - Lei Li
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China
| | - Xinyu Guo
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Lab of Digital Plant, Beijing Research Center for Information Technology in Agriculture, Beijing 100097, P.R. China.
| | - Chunjiang Zhao
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Lab of Digital Plant, Beijing Research Center for Information Technology in Agriculture, Beijing 100097, P.R. China.
| | - Xiaozeng Yang
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China.
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Xia Y, Feng YJ, Yao M, Jin JN, Wei J, Cui YQ, Wang LS, Chen TT, Chen XY, Li HB, Xu JF, Long Q, Jiang Y, Liu JL, Lou JG, Gao F, Mao SS. [Clinical follow-up analysis of multidisciplinary treatment of children with spinal muscular atrophy]. Zhonghua Er Ke Za Zhi 2022; 60:1134-1139. [PMID: 36319146 DOI: 10.3760/cma.j.cn112140-20220221-00138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To analyze the follow-up and clinical effect of multidisciplinary treatment on the children with spinal muscular atrophy (SMA). Methods: The clinical data including nutritional status, respiratory function, bone health and motor function of 45 children with SMA who received multidisciplinary management 1-year follow-up in the Children's Hospital, Zhejiang University School of Medicine from July 2019 to October 2021 were retrospectively collected. Comparisons before and after management were performed using paired-samples t-test or Wilcoxon rank-sum test, etc. Results: The age of 45 patients (25 boys and 20 girls) was 50.4 (33.6, 84.0) months at the enrollment, with 6 cases of type 1, 22 cases of type 2, and 17 cases of type 3 respectively. After the multidisciplinary management, the cases of SMA patients with malnutrition decreased from 22 to 12 (P=0.030), the level of vitamin D were significantly increased ((45±17) vs. (48±14) nmol/L, t=-4.13, P<0.001). There was no significant difference in the forced vital capacity %pred, the forced expiratory volume at 1 second %pred, and the peak expiratory flow %pred ((76±19)% and (76±21)%, (81±18)% and (79±18)%, (81±21)% and (78±17)%; t=-0.24, 1.36, 1.21; all P>0.05). The Cobbs angle of scoliosis also improved significantly (8.0°(0°, 13.0°) vs. 10.0°(0°, 18.5°), Z=-3.01, P=0.003). The Hammersmith functional motor scale expanded scores of children with SMA type 2 and type 3 both showed significant elevation (11.0 (8.0, 18.0) vs. 11.0 (5.0, 18.5) scores, 44.0 (36.5, 53.0) vs. 44.0 (34.0, 51.5) scores, Z=2.44, 3.11, P=0.015, 0.002). Conclusion: Multidisciplinary management is beneficial for delaying the progression of the multi-system impairments of SMA patients, such as malnutrition, restrictive ventilation dysfunction and scoliosis.
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Affiliation(s)
- Y Xia
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y J Feng
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - M Yao
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J N Jin
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J Wei
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y Q Cui
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - L S Wang
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - T T Chen
- Department of Developmental Behavior, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - X Y Chen
- Department of Developmental Behavior, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - H B Li
- Department of Orthopedics, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J F Xu
- Department of Orthopedics, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Q Long
- Department of Clinial Nutrition, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y Jiang
- Department of Respiratory, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J L Liu
- Department of Respiratory, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - J G Lou
- Department of Gastroenterology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - F Gao
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - S S Mao
- Department of Neurology, the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
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Wei J, Yuile A, Khou V, Itchins M, Kong B, Pavlakis N, Chan D, Clarke S. 338P Anti PD1 is superior to anti PDL1 when combined with chemotherapy in first-line treatment for metastatic non-small cell lung cancer (mNSCLC): A network meta-analysis. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.376] [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: 12/05/2022] Open
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Kong B, Wei J, Smith S, Chan W, Harden S, Khou V, Alexander M, Brown C, Itchins M, Lee J, Mersiades A, Gray L, Boyer M, Pavlakis N, Clarke S, Jayamanne D, Kao SH. 347P Real-world efficacy of first-line therapy in wild-type non-small cell lung cancer (NSCLC) patients with brain metastases. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.385] [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: 12/07/2022] Open
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40
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Wei J, Chen C, Chang SF, Dang YM. [Primary gastric choriocarcinoma with deletion mutations in the PTEN gene: report of a case]. Zhonghua Bing Li Xue Za Zhi 2022; 51:1054-1056. [PMID: 36207927 DOI: 10.3760/cma.j.cn112151-20220303-00146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Affiliation(s)
- J Wei
- Department of Pathology, Gansu Provincial Hospital, Lanzhou 730000, China
| | - C Chen
- Department of Pathology, Gansu Provincial Hospital, Lanzhou 730000, China
| | - S F Chang
- Department of Pathology, Gansu Provincial Hospital, Lanzhou 730000, China
| | - Y M Dang
- Department of Pathology, Gansu Provincial Hospital, Lanzhou 730000, China
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Wei J, Samuels B, Oneglia A, Tjoe B, Gomez JMD, Manchanda AS, Samuel TJ, Azarbal B, Kwan AC, Anderson RD, Petersen JW, Berman DS, Pepine CJ, Bairey Merz CN, Nelson MD. Characterizing left ventricular stiffness in women with signs and symptoms of ischemia with no obstructive coronary arteries. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Women with signs and symptoms of ischemia and no obstructive coronary arteries (INOCA) have evidence of diastolic dysfunction and are at increased risk of developing heart failure with preserved ejection fraction (HFpEF). However, mechanisms contributing to HFpEF development are poorly understood and often attributed to underlying cardiovascular risk factors.
Purpose
To compare clinical, invasive, and imaging parameters in women with suspected INOCA and various degrees of left ventricular (LV) stiffness (as measured by invasive end-diastolic pressure [EDP]/end diastolic volume [EDV]).
Methods
Women with suspected INOCA underwent invasive LV pressure-volume loop analysis at rest and coronary function testing with a Doppler wire in the left anterior descending artery. Intracoronary vasoactive substances (adenosine, acetylcholine, nitroglycerin) were infused into the left main artery, as published. Rest and adenosine stress cardiac magnetic resonance (CMR) imaging was performed to evaluate LV function, structure, perfusion, and fibrosis. Women in different tertiles of EDP/EDV ratio were compared using t-tests.
Results
A total of 62 women with complete invasive data were included; 2 did not complete CMR. Compared to the lower EDP/EDV tertile, women in the upper tertile were older, had higher ejection fraction, higher mass/volume ratio, worse diastolic function, greater aortic stiffness and worse coronary microvascular function (Table 1). Traditional cardiovascular risk factors were not significantly different.
Conclusion
Among women with INOCA, older age, coronary microvascular dysfunction, and aortic stiffness were related to greater LV stiffness at rest. Those with the highest EDP/EDV ratio had hyperdynamic LV systolic function and the smallest LV size. More work is needed to understand contribution of coronary microvascular dysfunction to HFpEF progression.
Funding Acknowledgement
Type of funding sources: Other. Main funding source(s): National Institutes of HealthErika Glazer Women's Heart Health Project
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Affiliation(s)
- J Wei
- Cedars-Sinai Smidt Heart Institute , Los Angeles , United States of America
| | - B Samuels
- Cedars-Sinai Smidt Heart Institute , Los Angeles , United States of America
| | - A Oneglia
- The University of Texas at Arlington , Arlington , United States of America
| | - B Tjoe
- Cedars-Sinai Smidt Heart Institute , Los Angeles , United States of America
| | - J M D Gomez
- Cedars-Sinai Smidt Heart Institute , Los Angeles , United States of America
| | - A S Manchanda
- Cedars-Sinai Smidt Heart Institute , Los Angeles , United States of America
| | - T J Samuel
- The University of Texas at Arlington , Arlington , United States of America
| | - B Azarbal
- The University of Texas at Arlington , Arlington , United States of America
| | - A C Kwan
- Cedars-Sinai Smidt Heart Institute , Los Angeles , United States of America
| | - R D Anderson
- University of Florida , Gainesville , United States of America
| | - J W Petersen
- University of Florida , Gainesville , United States of America
| | - D S Berman
- University of Florida , Gainesville , United States of America
| | - C J Pepine
- University of Florida , Gainesville , United States of America
| | - C N Bairey Merz
- Cedars-Sinai Smidt Heart Institute , Los Angeles , United States of America
| | - M D Nelson
- The University of Texas at Arlington , Arlington , United States of America
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Oneglia AP, Wei J, Samuels B, Jake Samuel T, Azarbal B, David Anderson R, Petersen JW, Cook-Weins G, Pepine CJ, Noel Bairey Merz C, Nelson MD. Ventricular and vascular stiffening in ischemia with no obstructed coronary arteries: novel insight from pressure-volume analysis. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Ischemia with no obstructed coronary arteries (INOCA) is prevalent among women and associated with an increased risk of developing heart failure with preserved ejection fraction (HFpEF), however the mechanism linking these conditions remains poorly understood. Coronary vascular dysfunction is common in INOCA, representing a putative mechanism driving heart failure progression.
Purpose
To evaluate the role of coronary vascular dysfunction on left ventricular (LV) function in women with INOCA.
Methods
Women with suspected INOCA, defined as having signs and symptoms of ischemia but no obstructive coronary artery disease, underwent LV pressure-volume assessment at rest and during 3 minutes of isometric handgrip stress at 30% of maximal voluntary contraction. Coronary function testing was performed by infusing standard doses of adenosine, acetylcholine, and nitroglycerine through a guiding catheter placed in the left main coronary artery, per our published protocols. Using standardized definitions of normal versus abnormal responses, cases with zero abnormal coronary pathways (n=12) were compared to cases with three abnormal coronary pathways (n=7).
Results
At rest, end-systolic pressure and end-systolic elastance were elevated in cases with abnormal coronary vascular function (Figure), while normalized peak filling rate was lower (0.45±0.15 s mmHg–1 vs 0.37±0.08 s mmHg–1). With isometric handgrip, end-systolic pressure and end-systolic elastance increased similarly between groups, remaining highest in those with abnormal coronary vascular function (Figure). End-diastolic pressure-volume declined with handgrip in those without coronary vascular dysfunction, while increasing (up and to the left) in those with coronary vascular dysfunction (Figure). Likewise, normalized peak filling rate improved with handgrip in those without coronary vascular dysfunction, but did not change in those with coronary vascular dysfunction (0.66±0.37 s mmHg–1 vs 0.38±0.15 s mmHg–1).
Conclusions
We show heightened ventricular and vascular stiffness in women with INOCA who have abnormal coronary vascular function. These preliminary data support the hypothesis that coronary vascular dysfunction may be a putative mechanistic pathway driving heart failure progression in INOCA.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): National Institutes of Health
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Affiliation(s)
- A P Oneglia
- The University of Texas at Arlington, Department of Kinesiology , Arlington , United States of America
| | - J Wei
- Cedars-Sinai Medical Center, Barbra Streisand Women's Heart Center, Smidt Heart Institute , Los Angeles , United States of America
| | - B Samuels
- Cedars-Sinai Medical Center, Barbra Streisand Women's Heart Center, Smidt Heart Institute , Los Angeles , United States of America
| | - T Jake Samuel
- The Johns Hopkins University School of Medicine, Department of Medicine , Baltimore , United States of America
| | - B Azarbal
- Cedars-Sinai Medical Center, Barbra Streisand Women's Heart Center, Smidt Heart Institute , Los Angeles , United States of America
| | - R David Anderson
- University of Florida, Division of Cardiology, Department of Medicine , Gainesville , United States of America
| | - J W Petersen
- University of Florida, Division of Cardiology, Department of Medicine , Gainesville , United States of America
| | - G Cook-Weins
- Cedars-Sinai Medical Center, Biostatistics and Bioinformatics Research Center , Los Angeles , United States of America
| | - C J Pepine
- University of Florida, Division of Cardiology, Department of Medicine , Gainesville , United States of America
| | - C Noel Bairey Merz
- Cedars-Sinai Medical Center, Barbra Streisand Women's Heart Center, Smidt Heart Institute , Los Angeles , United States of America
| | - M D Nelson
- The University of Texas at Arlington, Department of Kinesiology , Arlington , United States of America
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Zamani SK, Aldiwani H, Razipour A, Wei J, Kwan AC, Berman DS, Dey D, Bairey Merz CN, Nelson MD. Pericardial fat from a single horizontal long axis cardiac magnetic resonance cine image: a validation study against three-dimensional cardiac computed tomography. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Excess fat accumulation around the heart (i.e., pericardial fat) is positively associated with cardiovascular disease. Pericardial fat is composed of two distinct depots: (1) epicardial fat, which is a metabolically active adipose tissue located between the heart and the pericardium, and (2) paracardial fat, which is the fat deposit in the mediastinum outside of the parietal pericardium. Both depots are visible on the horizontal long axis cardiac magnetic resonance (CMR) cine (i.e., four chamber view), offering an attractive opportunity to quantify pericardial fat from standard CMR cine images.
Purpose
To validate pericardial fat area measured from a single horizontal long axis CMR cine against whole-heart volumetric non-contrast cardiac computed tomography (CT) measurements.
Methods
To accomplish our goal, we leveraged 25 cases from the Women's Ischemia Syndrome Evaluation – Coronary Vascular Dysfunction Continuation cohort who underwent both cardiac MRI and cardiac CT within a median of 35 days apart. For MRI, pericardial fat area was measured from a single high resolution steady state free precession cine image in the horizontal long axis imaging plane using commercially available software (CVI42 V5.13.5, Circle Cardiovascular Imaging, Figure 1A). For CT, pericardial fat volume was measured using a fully automated deep learning algorithm (QFAT 2.0, Figure 1A).
Results
Fat area measured from a single horizontal long axis cine image was closely related to fat volume measured by three-dimensional cardiac CT, with strong correlations for epicardial fat (R2=0.72, p<0.01, Figure 1B), paracardial fat (R2=0.80, p<0.01, Figure 1C), and pericardial fat (R2=0.91, p<0.01, Figure 1D).
Conclusions
Measuring pericardial fat area, and its constituent parts, from a single horizontal long axis cine image is both feasible and strongly related to reference standard pericardial fat volume by cardiac CT.
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): National Institutes of Health
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Affiliation(s)
- S K Zamani
- University of Texas at Arlington, Applied Physiology and Advanced Imaging Lab , Arlington , United States of America
| | - H Aldiwani
- Cedars-Sinai Smidt Heart Institute, Barbra Streisand Women's Heart Center , Los Angeles , United States of America
| | - A Razipour
- Cedars-Sinai Medical Center, Biomedical Imaging Research Institute , Los Angeles , United States of America
| | - J Wei
- Cedars-Sinai Smidt Heart Institute, Barbra Streisand Women's Heart Center , Los Angeles , United States of America
| | - A C Kwan
- Cedars-Sinai Medical Center, Biomedical Imaging Research Institute , Los Angeles , United States of America
| | - D S Berman
- Cedars-Sinai Medical Center, Smidt Heart Institute , Los Angeles , United States of America
| | - D Dey
- Cedars-Sinai Medical Center, Biomedical Imaging Research Institute , Los Angeles , United States of America
| | - C N Bairey Merz
- Cedars-Sinai Smidt Heart Institute, Barbra Streisand Women's Heart Center , Los Angeles , United States of America
| | - M D Nelson
- University of Texas at Arlington, Applied Physiology and Advanced Imaging Lab , Arlington , United States of America
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44
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Wang H, Haasis HD, Su M, Wei J, Xu X, Wen S, Li J, Yue W. Improved artificial bee colony algorithm for air freight station scheduling. Math Biosci Eng 2022; 19:13007-13027. [PMID: 36654032 DOI: 10.3934/mbe.2022607] [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: 06/17/2023]
Abstract
Aiming at improving the operating efficiency of air freight station, the problem of optimizing the sequence of inbound/outbound tasks meanwhile scheduling the actions of elevating transfer vehicles (ETVs) is discussed in this paper. First of all, the scheduling model in airport container storage area, which considers not only the influence of picking sequence, optimal ETVs routing without collision, but also the assignment of input and output ports, is established. Then artificial bee colony (ABC) is proposed to solve the above scheduling issue. For further balancing the abilities of exploration and exploitation, improved multi-dimensional search (IMABC) algorithm is proposed where more dimensions will be covered, and the best dimension of the current optimal solution is used to guide the evolutionary direction in the following exploitation processes. Numerical experiments show that the proposed method can generate optimal solution for the complex scheduling problem, and the proposed IMABC outperforms original ABC and other improved algorithms.
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Affiliation(s)
- Haiquan Wang
- Zhongyuan-Petersburg Aviation College, Zhongyuan University of Technology, Zhengzhou 450007, China
| | - Hans-Dietrich Haasis
- Chair in Maritime Business and Logistics, University of Bremen, Max-von-Laue-Str. 1, 28359 Bremen, Germany
| | - Menghao Su
- Faculty of Information Engineering, Zhengzhou University of Industrial Technology, Xinzheng 451100, China
| | - Jianhua Wei
- Zhengzhou Tiamaes Technology Co., Ltd, Zhengzhou 450007, China
| | - Xiaobin Xu
- School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Shengjun Wen
- Zhongyuan-Petersburg Aviation College, Zhongyuan University of Technology, Zhengzhou 450007, China
| | - Juntao Li
- Beijing Key Laboratory of Intelligent Logistics Systems, Beijing Wuzi University, Beijing 100000, China
| | - Wenxuan Yue
- Faculty of Electrical and Engineering, Zhongyuan University of Technology, 41 Zhongyuan Road, Zhengzhou 450007, China
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45
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Wang Y, Song X, Shi T, Wang H, Zhang X, Liu B, Wei J. 1230P Immunotherapies for gastric cancer with CLDN18-ARHGAP fusion gene. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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46
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Mavrogeni S, Pepe A, Nijveldt R, Ntusi N, Sierra-Galan LM, Bratis K, Wei J, Mukherjee M, Markousis-Mavrogenis G, Gargani L, Sade LE, Ajmone-Marsan N, Seferovic P, Donal E, Nurmohamed M, Cerinic MM, Sfikakis P, Kitas G, Schwitter J, Lima JAC, Dawson D, Dweck M, Haugaa KH, Keenan N, Moon J, Stankovic I, Donal E, Cosyns B. Cardiovascular magnetic resonance in autoimmune rheumatic diseases: a clinical consensus document by the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging 2022; 23:e308-e322. [PMID: 35808990 DOI: 10.1093/ehjci/jeac134] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [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: 06/21/2022] [Accepted: 06/21/2022] [Indexed: 11/12/2022] Open
Abstract
Autoimmune rheumatic diseases (ARDs) involve multiple organs including the heart and vasculature. Despite novel treatments, patients with ARDs still experience a reduced life expectancy, partly caused by the higher prevalence of cardiovascular disease (CVD). This includes CV inflammation, rhythm disturbances, perfusion abnormalities (ischaemia/infarction), dysregulation of vasoreactivity, myocardial fibrosis, coagulation abnormalities, pulmonary hypertension, valvular disease, and side-effects of immunomodulatory therapy. Currently, the evaluation of CV involvement in patients with ARDs is based on the assessment of cardiac symptoms, coupled with electrocardiography, blood testing, and echocardiography. However, CVD may not become overt until late in the course of the disease, thus potentially limiting the therapeutic window for intervention. More recently, cardiovascular magnetic resonance (CMR) has allowed for the early identification of pathophysiologic structural/functional alterations that take place before the onset of clinically overt CVD. CMR allows for detailed evaluation of biventricular function together with tissue characterization of vessels/myocardium in the same examination, yielding a reliable assessment of disease activity that might not be mirrored by blood biomarkers and other imaging modalities. Therefore, CMR provides diagnostic information that enables timely clinical decision-making and facilitates the tailoring of treatment to individual patients. Here we review the role of CMR in the early and accurate diagnosis of CVD in patients with ARDs compared with other non-invasive imaging modalities. Furthermore, we present a consensus-based decision algorithm for when a CMR study could be considered in patients with ARDs, together with a standardized study protocol. Lastly, we discuss the clinical implications of findings from a CMR examination.
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Affiliation(s)
- S Mavrogeni
- Onassis Cardiac Surgery Center, Leof. Andrea Siggrou 356, Kallithea 176 74, Greece.,Exercise Physiology and Sport Medicine Clinic, Center for Adolescent Medicine and UNESCO Chair in Adolescent Health Care, First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Aghia Sophia Children's Hospital, 115 27 Athens, Greece
| | - A Pepe
- Institute of Radiology, Department of Medicine, University of Padua, 35122 Padua, Italy
| | - R Nijveldt
- Department of Cardiology, Radboud University Medical Center, 6525 GA, Nijmegen, the Netherlands
| | - N Ntusi
- University of Cape Town & Groote Schuur Hospital, City of Cape Town, 7700 Western Cape, South Africa
| | - L M Sierra-Galan
- Department of Cardiology, American British Cowdray Medical Center, 05330 Mexico City, Mexico
| | - K Bratis
- Department of Cardiology, Manchester Royal Infirmary, Manchester M13 9WL, UK
| | - J Wei
- Barbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA 90048, USA.,Preventive and Rehabilitative Cardiac Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA 90048, USA
| | - M Mukherjee
- Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | | | - L Gargani
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, 56126 Pisa, Italy
| | - L E Sade
- University of Pittsburgh, University of Pittsburgh Medical Center, Heart and Vascular Institute, Pittsburgh, PA 15260, USA.,Department of Cardiology, Baskent University, 06790 Ankara, Turkey
| | - N Ajmone-Marsan
- Department of Cardiology, Leiden University Medical Center, 2311 EZ Leiden, the Netherlands
| | - P Seferovic
- Department of Cardiology, Belgrade University, 11000 Belgrade, Serbia
| | - E Donal
- Université RENNES-1, CHU, 35000 Rennes, France
| | - M Nurmohamed
- Amsterdam Rheumatology Immunology Center, Amsterdam University Medical Centers, 1105 AZ, Amsterdam, the Netherlands
| | - M Matucci Cerinic
- Experimental and Clinical Medicine, Division of Internal Medicine and Rheumatology, Azienda Ospedaliera Universitaria Careggi, University of Florence, 50121 Florence, Italy.,Unit of Immunology, Rheumatology, Allergy and Rare Diseases (UnIRAR), IRCCS, San Raffaele Hospital, 20132 Milan, Italy
| | - P Sfikakis
- First Department of Propeudeutic and Internal medicine, Laikon Hospital, Athens University Medical School, 115 27 Athens, Greece
| | - G Kitas
- Arthritis Research UK Epidemiology Unit, Manchester University, Manchester M13 9PL, UK
| | - J Schwitter
- Lausanne University Hospital, CHUV, CH-1011 Lausanne, Switzerland.,Faculty of Biology and Medicine, University of Lausanne, 1015 UniL, Switzerland.,Director CMR Center of the University Hospital Lausanne, CHUV, CH-1011 Lausanne, Switzerland
| | - J A C Lima
- Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD 21287, USA
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47
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Li H, Wang J, He L, Zhang F, Meng Q, Huang J, Li Y, Liu R, Yang X, Wei J. Construction of a combined hypoxia and EMT index for head and neck squamous cell carcinoma. Front Cell Dev Biol 2022; 10:961858. [PMID: 36046345 PMCID: PMC9420946 DOI: 10.3389/fcell.2022.961858] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 07/28/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives: In head and neck squamous cell carcinoma (HNSCC), the interaction between epithelial-mesenchymal transformation (EMT) and hypoxia has been confirmed, and corresponding treatment methods have been investigated. Few studies have examined its combined effects and its potential clinical use, however. As a result, we developed a new scoring system based on EMT and hypoxia.Methods: We combined 200 hypoxia-related genes with 1184 EMT-related genes and finally constructed a score risk model containing 14 characteristic factors named the comprehensive index of EMT and hypoxia (CIEH) by the Lasso-Cox regression and univariate Cox regression method, which is used to predict prognosis and to guide treatment planning in HNSCC patients. Furthermore, we examined HNSCC expression of CIEH-related genes using the human protein atlas database.Results: Based on survival analysis results, CIEH value had a high prognostic value in HNSCC patients, a high CIEH value carries a poor prognostic significance in HNSCC. It is noteworthy that the CIEH value was correlated with tumor immune infiltration. Moreover, the CIEH had significant differences in age, stage, N, laterality, and peripheral nerve invasion, and that the CIEH could be an independent prognostic factor.Conclusions: This study constructed a CIEH model containing 14 characteristic factors, including hypoxia-related genes and EMT genes, that may be able to serve as potential biomarkers for HNSCC. According to the 14 characteristic factors in the CIEH model, a diagnostic kit can be packaged in the future to evaluate the survival of patients before tumor surgery and guide the subsequent treatment plan.
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Affiliation(s)
- Huan Li
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi’an, China
| | - Jun Wang
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi’an, China
| | - Lei He
- State Key Laboratory of Cancer Biology, Biotechnology Center, School of Pharmacy, Fourth Military Medical University, Xi’an, China
| | - Fengrui Zhang
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi’an, China
| | - Qingzhe Meng
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi’an, China
| | - Junhong Huang
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi’an, China
| | - Yahui Li
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi’an, China
| | - Rong Liu
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi’an, China
| | - Xinjie Yang
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi’an, China
- *Correspondence: Jianhua Wei, ; Xinjie Yang,
| | - Jianhua Wei
- State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases, and Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, Fourth Military Medical University, Xi’an, China
- *Correspondence: Jianhua Wei, ; Xinjie Yang,
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48
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Wang S, Song C, Yang X, Yang Y, Wei J. Children tongue leiomyosarcoma: A rare case and literature review. Ear Nose Throat J 2022:1455613221112365. [PMID: 35793206 DOI: 10.1177/01455613221112365] [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] [Indexed: 11/16/2022] Open
Abstract
Primary leiomyosarcoma of the tongue is a rare malignant mesenchymal tumor with high recurrence rate and metastatic potential. Through analysis of one case condition and literature review, this paper discusses the clinical characteristics and treatment methods and recommends that expanded resection surgery should be the first intervention. Postoperative adjuvant radiotherapy and combined chemotherapy should be administered if the case specifically requires such an approach.
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Affiliation(s)
- Shaojie Wang
- State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, Fourth Military Medical University, Xi'an, Shaanxi Province, China
| | - Changlong Song
- State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, Fourth Military Medical University, Xi'an, Shaanxi Province, China
| | - Xinjie Yang
- State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, Fourth Military Medical University, Xi'an, Shaanxi Province, China
| | - Yaowu Yang
- State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, Fourth Military Medical University, Xi'an, Shaanxi Province, China
| | - Jianhua Wei
- State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, Fourth Military Medical University, Xi'an, Shaanxi Province, China
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49
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Wang S, Song C, Yang X, Yang Y, Wei J. Melanotic neuroectodermal tumor of infancy: Case report and literature review. Ear Nose Throat J 2022:1455613221112353. [PMID: 35794076 DOI: 10.1177/01455613221112353] [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] [Indexed: 11/17/2022] Open
Abstract
Melanotic neuroectodermal tumor of infancy (MNTI) is a rare benign tumor. Here, we report the diagnosis and treatment of 1 case of MNTI in the maxilla and discuss its clinical and pathological features, imaging features, treatment, and prognosis.
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Affiliation(s)
- Shaojie Wang
- State Key Laboratory of Military Stomatology, Department of Oral and Maxillofacial Surgery, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Fourth Military Medical University, Xi'an, China
| | - Changlong Song
- State Key Laboratory of Military Stomatology, Department of Oral and Maxillofacial Surgery, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Fourth Military Medical University, Xi'an, China
| | - Xinjie Yang
- State Key Laboratory of Military Stomatology, Department of Oral and Maxillofacial Surgery, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Fourth Military Medical University, Xi'an, China
| | - Yaowu Yang
- State Key Laboratory of Military Stomatology, Department of Oral and Maxillofacial Surgery, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Fourth Military Medical University, Xi'an, China
| | - Jianhua Wei
- State Key Laboratory of Military Stomatology, Department of Oral and Maxillofacial Surgery, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Fourth Military Medical University, Xi'an, China
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50
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Aguilar M, Cavasonza LA, Ambrosi G, Arruda L, Attig N, Barao F, Barrin L, Bartoloni A, Başeğmez-du Pree S, Battiston R, Behlmann M, Berdugo J, Bertucci B, Bindi V, Bollweg K, Borgia B, Boschini MJ, Bourquin M, Bueno EF, Burger J, Burger WJ, Burmeister S, Cai XD, Capell M, Casaus J, Castellini G, Cervelli F, Chang YH, Chen GM, Chen GR, Chen HS, Chen Y, Cheng L, Chou HY, Chouridou S, Choutko V, Chung CH, Clark C, Coignet G, Consolandi C, Contin A, Corti C, Cui Z, Dadzie K, Dass A, Delgado C, Della Torre S, Demirköz MB, Derome L, Di Falco S, Di Felice V, Díaz C, Dimiccoli F, von Doetinchem P, Dong F, Donnini F, Duranti M, Egorov A, Eline A, Feng J, Fiandrini E, Fisher P, Formato V, Freeman C, Gámez C, García-López RJ, Gargiulo C, Gast H, Gervasi M, Giovacchini F, Gómez-Coral DM, Gong J, Goy C, Grabski V, Grandi D, Graziani M, Haino S, Han KC, Hashmani RK, He ZH, Heber B, Hsieh TH, Hu JY, Incagli M, Jang WY, Jia Y, Jinchi H, Karagöz G, Khiali B, Kim GN, Kirn T, Konyushikhin M, Kounina O, Kounine A, Koutsenko V, Krasnopevtsev D, Kuhlman A, Kulemzin A, La Vacca G, Laudi E, Laurenti G, Lazzizzera I, Lee HT, Lee SC, Li HL, Li JQ, Li M, Li Q, Li QY, Li S, Li SL, Li JH, Li ZH, Liang J, Liang MJ, Light C, Lin CH, Lippert T, Liu JH, Lu SQ, Lu YS, Luebelsmeyer K, Luo JZ, Luo X, Machate F, Mañá C, Marín J, Marquardt J, Martin T, Martínez G, Masi N, Maurin D, Medvedeva T, Menchaca-Rocha A, Meng Q, Mikhailov VV, Molero M, Mott P, Mussolin L, Negrete J, Nikonov N, Nozzoli F, Ocampo-Peleteiro J, Oliva A, Orcinha M, Palermo M, Palmonari F, Paniccia M, Pashnin A, Pauluzzi M, Pensotti S, Plyaskin V, Pohl M, Poluianov S, Qin X, Qu ZY, Quadrani L, Rancoita PG, Rapin D, Conde AR, Robyn E, Rosier-Lees S, Rozhkov A, Rozza D, Sagdeev R, Schael S, von Dratzig AS, Schwering G, Seo ES, Shan BS, Siedenburg T, Song JW, Song XJ, Sonnabend R, Strigari L, Su T, Sun Q, Sun ZT, Tacconi M, Tang XW, Tang ZC, Tian J, Ting SCC, Ting SM, Tomassetti N, Torsti J, Urban T, Usoskin I, Vagelli V, Vainio R, Valencia-Otero M, Valente E, Valtonen E, Vázquez Acosta M, Vecchi M, Velasco M, Vialle JP, Wang CX, Wang L, Wang LQ, Wang NH, Wang QL, Wang S, Wang X, Wang Y, Wang ZM, Wei J, Weng ZL, Wu H, Xiong RQ, Xu W, Yan Q, Yang Y, Yashin II, Yi H, Yu YM, Yu ZQ, Zannoni M, Zhang C, Zhang F, Zhang FZ, Zhang JH, Zhang Z, Zhao F, Zheng C, Zheng ZM, Zhuang HL, Zhukov V, Zichichi A, Zuccon P. Properties of Daily Helium Fluxes. Phys Rev Lett 2022; 128:231102. [PMID: 35749176 DOI: 10.1103/physrevlett.128.231102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 05/06/2022] [Indexed: 06/15/2023]
Abstract
We present the precision measurement of 2824 daily helium fluxes in cosmic rays from May 20, 2011 to October 29, 2019 in the rigidity interval from 1.71 to 100 GV based on 7.6×10^{8} helium nuclei collected with the Alpha Magnetic Spectrometer (AMS) aboard the International Space Station. The helium flux and the helium to proton flux ratio exhibit variations on multiple timescales. In nearly all the time intervals from 2014 to 2018, we observed recurrent helium flux variations with a period of 27 days. Shorter periods of 9 days and 13.5 days are observed in 2016. The strength of all three periodicities changes with time and rigidity. In the entire time period, we found that below ∼7 GV the helium flux exhibits larger time variations than the proton flux, and above ∼7 GV the helium to proton flux ratio is time independent. Remarkably, below 2.4 GV a hysteresis between the helium to proton flux ratio and the helium flux was observed at greater than the 7σ level. This shows that at low rigidity the modulation of the helium to proton flux ratio is different before and after the solar maximum in 2014.
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Affiliation(s)
- M Aguilar
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - L Ali Cavasonza
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - G Ambrosi
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - L Arruda
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - N Attig
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - F Barao
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - L Barrin
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | | | - S Başeğmez-du Pree
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - R Battiston
- INFN TIFPA, 38123 Povo, Trento, Italy
- Università di Trento, 38123 Povo, Trento, Italy
| | - M Behlmann
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Berdugo
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - B Bertucci
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - V Bindi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Bollweg
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - B Borgia
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - M J Boschini
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - M Bourquin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - E F Bueno
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - J Burger
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - S Burmeister
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - X D Cai
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Capell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Casaus
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | | | - Y H Chang
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - G M Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - G R Chen
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H S Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Chen
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Cheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Y Chou
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - S Chouridou
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - V Choutko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C H Chung
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Clark
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Coignet
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C Consolandi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Contin
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - C Corti
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - Z Cui
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - K Dadzie
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Dass
- INFN TIFPA, 38123 Povo, Trento, Italy
- Università di Trento, 38123 Povo, Trento, Italy
| | - C Delgado
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - M B Demirköz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
| | - L Derome
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | | | - V Di Felice
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Díaz
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - P von Doetinchem
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Dong
- Southeast University (SEU), Nanjing 210096, China
| | - F Donnini
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - M Duranti
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - A Egorov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Eline
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Feng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - E Fiandrini
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - P Fisher
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Formato
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Freeman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - C Gámez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - R J García-López
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - C Gargiulo
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - H Gast
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - M Gervasi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - F Giovacchini
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - D M Gómez-Coral
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - J Gong
- Southeast University (SEU), Nanjing 210096, China
| | - C Goy
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - V Grabski
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México 01000, Mexico
| | - D Grandi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - M Graziani
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - S Haino
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - K C Han
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - R K Hashmani
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
| | - Z H He
- Sun Yat-Sen University (SYSU), Guangzhou 510275, China
| | - B Heber
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T H Hsieh
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Y Hu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Incagli
- INFN Sezione di Pisa, 56100 Pisa, Italy
| | - W Y Jang
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Yi Jia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Jinchi
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - G Karagöz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
| | - B Khiali
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - G N Kim
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Th Kirn
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - M Konyushikhin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - O Kounina
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kounine
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Koutsenko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Krasnopevtsev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kuhlman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Kulemzin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G La Vacca
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - E Laudi
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - G Laurenti
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - I Lazzizzera
- INFN TIFPA, 38123 Povo, Trento, Italy
- Università di Trento, 38123 Povo, Trento, Italy
| | - H T Lee
- Academia Sinica Grid Center (ASGC), Nankang, Taipei 11529, Taiwan
| | - S C Lee
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - H L Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - M Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - Q Y Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - S Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - S L Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z H Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Liang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - M J Liang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Light
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - C H Lin
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - T Lippert
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - J H Liu
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Q Lu
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - Y S Lu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - K Luebelsmeyer
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Z Luo
- Southeast University (SEU), Nanjing 210096, China
| | - Xi Luo
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - F Machate
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Mañá
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marín
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marquardt
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T Martin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Martínez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - N Masi
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - D Maurin
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - T Medvedeva
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Menchaca-Rocha
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México 01000, Mexico
| | - Q Meng
- Southeast University (SEU), Nanjing 210096, China
| | - V V Mikhailov
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow 115409, Russia
| | - M Molero
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - P Mott
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - L Mussolin
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Negrete
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - N Nikonov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - F Nozzoli
- INFN TIFPA, 38123 Povo, Trento, Italy
| | - J Ocampo-Peleteiro
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - A Oliva
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - M Orcinha
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - M Palermo
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Palmonari
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - M Paniccia
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - A Pashnin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pauluzzi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - S Pensotti
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - V Plyaskin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pohl
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - S Poluianov
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - X Qin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Y Qu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - L Quadrani
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P G Rancoita
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - D Rapin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - A Reina Conde
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - E Robyn
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - S Rosier-Lees
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - A Rozhkov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Rozza
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - R Sagdeev
- East-West Center for Space Science, University of Maryland, College Park, Maryland 20742, USA
| | - S Schael
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | | | - G Schwering
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - E S Seo
- IPST, University of Maryland, College Park, Maryland 20742, USA
| | - B S Shan
- Beihang University (BUAA), Beijing 100191, China
| | - T Siedenburg
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J W Song
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - X J Song
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - R Sonnabend
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - L Strigari
- INFN Sezione di Roma 1, 00185 Roma, Italy
| | - T Su
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Sun
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z T Sun
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Tacconi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - X W Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - Z C Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - J Tian
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - Samuel C C Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - S M Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Tomassetti
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Torsti
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - T Urban
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - I Usoskin
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - V Vagelli
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Agenzia Spaziale Italiana (ASI), 00133 Roma, Italy
| | - R Vainio
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Valencia-Otero
- Physics Department and Center for High Energy and High Field Physics, National Central University (NCU), Tao Yuan 32054, Taiwan
| | - E Valente
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - E Valtonen
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Vázquez Acosta
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - M Vecchi
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - M Velasco
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J P Vialle
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C X Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - L Q Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - N H Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Wang
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - X Wang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Yu Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z M Wang
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Wei
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z L Weng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Wu
- Southeast University (SEU), Nanjing 210096, China
| | - R Q Xiong
- Southeast University (SEU), Nanjing 210096, China
| | - W Xu
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Yan
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Y Yang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - I I Yashin
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow 115409, Russia
| | - H Yi
- Southeast University (SEU), Nanjing 210096, China
| | - Y M Yu
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Q Yu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - M Zannoni
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - C Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Z Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Zhang
- Southeast University (SEU), Nanjing 210096, China
| | - Z Zhang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Zhao
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Zheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z M Zheng
- Beihang University (BUAA), Beijing 100191, China
| | - H L Zhuang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - V Zhukov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - A Zichichi
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P Zuccon
- INFN TIFPA, 38123 Povo, Trento, Italy
- Università di Trento, 38123 Povo, Trento, Italy
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