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Guo Z, Guillen DP, Grimm JR, Renteria C, Marsico C, Nikitin V, Arola D. High throughput automated characterization of enamel microstructure using synchrotron tomography and optical flow imaging. Acta Biomater 2024:S1742-7061(24)00216-2. [PMID: 38677636 DOI: 10.1016/j.actbio.2024.04.033] [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: 10/10/2023] [Revised: 04/18/2024] [Accepted: 04/22/2024] [Indexed: 04/29/2024]
Abstract
The remarkable damage-tolerance of enamel has been attributed to its hierarchical microstructure and the organized bands of decussated rods. A thorough characterization of the microscale rod evolution within the enamel is needed to elucidate this complex structure. While prior efforts in this area have made use of single particle tracking to track a single rod evolution to various degrees of success, such a process can be both computationally and labor intensive, limited to the evolution path of a single rod, and is therefore prone to error from potentially tracking outliers. Particle image velocimetry (PIV) is a well-established algorithm to derive field information from image sequences for processes that are time-dependent, such as fluid flows and structural deformation. In this work, we demonstrate the use of PIV in extracting the full-field microstructural distribution of rods within the enamel. Enamel samples from a wild African lion were analyzed using high-energy synchrotron X-ray micro-tomography. Results from the PIV analysis provide sufficient full-field information to reconstruct the growth of individual rods that can potentially enable rapid analysis of complex microstructures from high resolution synchrotron datasets. Such information can serve as a template for designing damage-tolerant bioinspired structures for advanced manufacturing. STATEMENT OF SIGNIFICANCE: Thorough characterization and analysis of biological microstructures (viz. dental enamel) allows us to understand the basis of their excellent mechanical properties. Prior efforts have successfully replicated these microstructures via single particle tracking, but the process is computationally and labor intensive. In this work, optical flow imaging algorithms were used to extract full-field microstructural distribution of enamel rods from synchrotron X-ray computed tomography datasets, and a field method was used to reconstruct the growth of individual rods. Such high throughput information allows for the rapid production/prototyping and advanced manufacturing of damage-tolerant bioinspired structures for specific engineering applications. Furthermore, the algorithms used herein are freely available and open source to broaden the availability of the proposed workflow to the general scientific community.
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Affiliation(s)
- Z Guo
- Idaho National Laboratory, Idaho Falls, ID, USA.
| | - D P Guillen
- Idaho National Laboratory, Idaho Falls, ID, USA
| | - J R Grimm
- Materials Science and Engineering, University of Washington, Seattle, WA, USA
| | - C Renteria
- Materials Science and Engineering, University of Washington, Seattle, WA, USA
| | - C Marsico
- Idaho National Laboratory, Idaho Falls, ID, USA; Materials Science and Engineering, University of Washington, Seattle, WA, USA
| | - V Nikitin
- Argonne National Laboratory, Lemont, IL, USA
| | - D Arola
- Materials Science and Engineering, University of Washington, Seattle, WA, USA; Mechanical Engineering, University of Washington, Seattle, WA, USA; Department of Restorative Dentistry, School of Dentistry, University of Washington, Seattle, WA, USA
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Wang Y, Wang L, Guo Z, Song S, Li Y. A graph convolutional network with dynamic weight fusion of multi-scale local features for diabetic retinopathy grading. Sci Rep 2024; 14:5791. [PMID: 38461342 PMCID: PMC10924962 DOI: 10.1038/s41598-024-56389-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 03/06/2024] [Indexed: 03/11/2024] Open
Abstract
Diabetic retinopathy (DR) is a serious ocular complication that can pose a serious risk to a patient's vision and overall health. Currently, the automatic grading of DR is mainly using deep learning techniques. However, the lesion information in DR images is complex, variable in shape and size, and randomly distributed in the images, which leads to some shortcomings of the current research methods, i.e., it is difficult to effectively extract the information of these various features, and it is difficult to establish the connection between the lesion information in different regions. To address these shortcomings, we design a multi-scale dynamic fusion (MSDF) module and combine it with graph convolution operations to propose a multi-scale dynamic graph convolutional network (MDGNet) in this paper. MDGNet firstly uses convolution kernels with different sizes to extract features with different shapes and sizes in the lesion regions, and then automatically learns the corresponding weights for feature fusion according to the contribution of different features to model grading. Finally, the graph convolution operation is used to link the lesion features in different regions. As a result, our proposed method can effectively combine local and global features, which is beneficial for the correct DR grading. We evaluate the effectiveness of method on two publicly available datasets, namely APTOS and DDR. Extensive experiments demonstrate that our proposed MDGNet achieves the best grading results on APTOS and DDR, and is more accurate and diverse for the extraction of lesion information.
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Affiliation(s)
- Yipeng Wang
- School of Computer Science and Technology, Xinjiang University, Urumqi, 830046, China
| | - Liejun Wang
- School of Computer Science and Technology, Xinjiang University, Urumqi, 830046, China.
| | - Zhiqing Guo
- School of Computer Science and Technology, Xinjiang University, Urumqi, 830046, China
| | - Shiji Song
- Department of Automation, Tsinghua University, Beijing, 100084, China
| | - Yanhong Li
- Department of Automation, Tsinghua University, Beijing, 100084, China
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Qi J, Liu H, Zhou Z, Jiang Y, Fan W, Hu J, Li J, Guo Z, Xie M, Huang W, Zhang Q, Hou S. Genome-wide association study identifies multiple loci influencing duck serum biochemical indicators in the laying period. Br Poult Sci 2024; 65:8-18. [PMID: 38284741 DOI: 10.1080/00071668.2023.2272982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 09/12/2023] [Indexed: 01/30/2024]
Abstract
1. Laying performance is an important economic trait in poultry. The blood is essential in transporting nutrients to the yolk and albumen and is necessary for egg formation.2. This study calculated the phenotypic relationships of duck egg quality, egg production efficiency and 22 serum parameters in the egg-laying stage. Using a variety of methodologies, a genome-wide association study (GWAS) was carried out to uncover the genetic foundations of the 22 serum biochemical markers of laying ducks.3. Spearman correlation coefficients between the egg production (226-329 per day) and the serum parameters were all weak, being less than 0.3. This analysis was done on 22 serum parameters, with total protein (TP), total triglycerides (TG), calcium (Ca) and phosphorous (P) having the highest correlation coefficients (r = 0.56-0.88). The coefficients for blood markers, such as total cholesterol (CHOL), total bilirubin (TBIL), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) varied from 0.70-0.94.4. Based on single-marker single-trait genome-wide analyses by a mixed linear model program of EMMAX, nine candidate genes were associated with enzyme traits (AST/ALT aspartate transaminase/glutamic-pyruvic transaminase, creatine kinase) and 19 candidate genes were associated with metabolism and protein-related serum parameters (glucose, total bile acid, uric acid (UA), albumin (ALB).5. The mvLMM (multivariate linear mixed model) of GEMMA software was used to carry out multiple trait integrated GWAS. Two candidate genes were found in the TP-TG-CA-P analysis and seven candidate genes in the CHOL_LDL-C_HDL-C_TBIL study. There was a high genetic correlation between the two groups.
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Affiliation(s)
- J Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - H Liu
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Z Zhou
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Y Jiang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - W Fan
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - J Hu
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - J Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Z Guo
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - M Xie
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - W Huang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Q Zhang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - S Hou
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
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Shen S, Zhang M, Wang X, Liu Q, Su H, Sun B, Guo Z, Tian B, Gan H, Gong C, Ma L. Single-cell RNA sequencing reveals S100a9 hi macrophages promote the transition from acute inflammation to fibrotic remodeling after myocardial ischemia‒reperfusion. Theranostics 2024; 14:1241-1259. [PMID: 38323308 PMCID: PMC10845204 DOI: 10.7150/thno.91180] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 12/29/2023] [Indexed: 02/08/2024] Open
Abstract
Rationale: The transition from acute inflammation to fibrosis following myocardial ischemia‒reperfusion (MIR) significantly affects prognosis. Macrophages play a pivotal role in inflammatory damage and repair after MIR. However, the heterogeneity and transformation mechanisms of macrophages during this transition are not well understood. Methods: In this study, we used single-cell RNA sequencing (scRNA-seq) and mass cytometry to examine murine monocyte-derived macrophages after MIR to investigate macrophage subtypes and their roles in the MIR process. S100a9-/- mice were used to establish MIR model to clarify the mechanism of alleviating inflammation and fibrosis after MIR. Reinfusion of bone marrow-derived macrophages (BMDMs) after macrophage depletion (MD) in mice subjected to MIR were performed to further examine the role of S100a9hi macrophages in MIR. Results: We identified a unique subtype of S100a9hi macrophages that originate from monocytes and are involved in acute inflammation and fibrosis. These S100a9hi macrophages infiltrate the heart as early as 2 h post-reperfusion and activate the Myd88/NFκB/NLRP3 signaling pathway, amplifying inflammatory responses. As the tissue environment shifts from proinflammatory to reparative, S100a9 activates transforming growth factor-β (Tgf-β)/p-smad3 signaling. This activation not only induces the transformation of myocardial fibroblasts to myofibroblasts but also promotes fibrosis via the macrophage-to-myofibroblast transition (MMT). Targeting S100a9 with a specific inhibitor could effectively mitigate acute inflammatory damage and halt the progression of fibrosis, including MMT. Conclusion: S100a9hi macrophages are a promising therapeutic target for managing the transition from inflammation to fibrosis after MIR.
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Affiliation(s)
- Shichun Shen
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Meng Zhang
- Department of Cardiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiaohe Wang
- Department of Cardiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Qiaoling Liu
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Huimin Su
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Bingyi Sun
- The First Clinical Medical school of Anhui Medical university, Hefei, China
| | - Zhiqing Guo
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Beiduo Tian
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Hong Gan
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China
| | - Chen Gong
- Department of Pediatrics, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Likun Ma
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
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Zhang Y, Guo Z, Wang J, Yue Y, Yang Y, Wen Y, Luo Y, Zhang X. Qinlian hongqu decoction ameliorates hyperlipidemia via the IRE1-α/IKKB-β/NF-κb signaling pathway: Network pharmacology and experimental validation. J Ethnopharmacol 2024; 318:116856. [PMID: 37406747 DOI: 10.1016/j.jep.2023.116856] [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: 04/13/2023] [Revised: 06/18/2023] [Accepted: 06/26/2023] [Indexed: 07/07/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Qinlian Hongqu decoction (QLHQD) is a traditional Chinese medicine (TCM) formula. It has previously been found to mitigate hyperlipidemia, although its mechanism requires further clarification. AIM OF THE STUDY This study explored QLHQD's mechanism in treating hyperlipidemia based on network pharmacology and experimental validation. MATERIALS AND METHODS The components of QLHQD were analyzed by means of ultrahigh performanceliquid chromatography-quadrupole/orbitrapmass spectrometry (UHPLC-Q-Orbitrap-HRMS) and the targets of hyperlipidemia were predicted using the Swiss ADME, GeneCards, OMIM, DrugBank, TTD, and PharmGKB databases. A drug-component-target-disease network was constructed using Cytoscape v3.7.1. Moreover, Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses were performed using the Bioinformatics platform. Based on the KEGG results, the non-alcoholic fatty liver disease signaling pathways were selected for experimental validation in an animal model. RESULTS We identified 34 components of QLHQD, 94 targets of hyperlipidemia, and 18 lipid metabolism-related pathways from the KEGG analysis. The results of the animal experiment revealed that QLHQD alleviated lipid metabolism disorders, obesity, insulin resistance, and inflammation in rats with hyperlipidemia induced by high-fat diets. Additionally, it reduced the expression of IRE1-α, TRAF2, IKKB-β, and NF-κB proteins in the liver of hyperlipidemic rats. CONCLUSION QLHQD is able to significantly mitigate hyperlipidemia induced via high-fat diets in rats. The mechanism of action in this regard might involve regulating the IRE1-α/IKKB-β/NF-κB signaling pathway in the liver, thereby attenuating inflammatory responses and insulin resistance.
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Affiliation(s)
- Yong Zhang
- College of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Zhiqing Guo
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Jin Wang
- College of Computer Science, Chengdu University, Chengdu, Sichuan Province, China
| | - Yuanyuan Yue
- Department of Ultrasound, Chengdu First People's Hospital, Chengdu, Sichuan Province, China
| | - Yang Yang
- Institute of Traditional Chinese Medicine, Sichuan Academy of Chinese Medicine Sciences, Chengdu, Sichuan Province, China
| | - Yueqiang Wen
- College of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Yaqi Luo
- Institute of Traditional Chinese Medicine, Sichuan Academy of Chinese Medicine Sciences, Chengdu, Sichuan Province, China.
| | - Xiaobo Zhang
- College of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
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Liu G, Guo Z, Liu W, Jiang F, Fu E. A feature selection method based on the Golden Jackal-Grey Wolf Hybrid Optimization Algorithm. PLoS One 2024; 19:e0295579. [PMID: 38165924 PMCID: PMC10760777 DOI: 10.1371/journal.pone.0295579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 11/20/2023] [Indexed: 01/04/2024] Open
Abstract
This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). The primary objective of this method is to create an effective data dimensionality reduction technique for eliminating redundant, irrelevant, and noisy features within high-dimensional datasets. Drawing inspiration from the Chinese idiom "Chai Lang Hu Bao," hybrid algorithm mechanisms, and cooperative behaviors observed in natural animal populations, we amalgamate the GWO algorithm, the Lagrange interpolation method, and the GJO algorithm to propose the multi-strategy fusion GJO-GWO algorithm. In Case 1, the GJO-GWO algorithm addressed eight complex benchmark functions. In Case 2, GJO-GWO was utilized to tackle ten feature selection problems. Experimental results consistently demonstrate that under identical experimental conditions, whether solving complex benchmark functions or addressing feature selection problems, GJO-GWO exhibits smaller means, lower standard deviations, higher classification accuracy, and reduced execution times. These findings affirm the superior optimization performance, classification accuracy, and stability of the GJO-GWO algorithm.
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Affiliation(s)
- Guangwei Liu
- College of Mining, Liaoning Technical University, Fuxin, Liaoning, China
| | - Zhiqing Guo
- College of Mining, Liaoning Technical University, Fuxin, Liaoning, China
| | - Wei Liu
- College of Science, Liaoning Technical University, Fuxin, Liaoning, China
| | - Feng Jiang
- College of Science, Liaoning Technical University, Fuxin, Liaoning, China
| | - Ensan Fu
- College of Mining, Liaoning Technical University, Fuxin, Liaoning, China
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Li Y, Zhang X, He K, Song X, Yu J, Guo Z, Xu M. Isolation and Identification of Bacillus subtilis LY-1 and Its Antifungal and Growth-Promoting Effects. Plants (Basel) 2023; 12:4158. [PMID: 38140485 PMCID: PMC10747398 DOI: 10.3390/plants12244158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 11/29/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023]
Abstract
Peanut root rot, caused by Fusarium spp., is a devastating fungal disease. As part of a program to obtain a biocontrol agent to control peanut root rot in the field, a bacterial strain LY-1 capable of inhibiting the growth of the fungus in vitro was isolated from rhizosphere soil samples collected from wild mint by agar disk dilution and dual-culture assay. Strain LY-1 was identified as Bacillus subtilis based on morphological characteristics, 16S rDNA, and gyrA sequence analyses. The bacterial suspension and cell-free culture filtrate of LY-1 could significantly inhibit the growth of Fusarium oxysporum, Fusarium proliferatum and Fusarium solani, but volatile organic compounds from the cultures had only a weak effect on mycelial growth. The percentage inhibition of 20% concentration of the cell-free culture filtrate of LY-1 on conidium production of each of the three Fusarium species was greater than 72.38%, and the percentage inhibition by the culture filtration on the germination of conidia of the three species was at least 62.37%. The production of extracellular enzyme activity by LY-1 was studied in functional assays, showing protease, cellulase, amylase, chitinase, and β-1,3-glucanase activity, while LY-1 contained a gene encoding iturin, an antifungal lipopeptide. In addition, under pot culture in a greenhouse, culture filtrate of LY-1 significantly promoted the growth of peanut, increasing the fresh and dry mass of the plant by 30.77% and 27.27%, respectively, in comparison with the no-filtrate control. The culture filtrate of LY-1 increased the resistance of peanut plants to F. oxysporum, with the biocontrol efficiency reaching 44.71%. In conclusion, B. subtilis LY-1, a plant-growth-promoting rhizobacterium, was able to protect peanuts from Fusarium spp. infection.
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Affiliation(s)
- Ying Li
- Shandong Peanut Research Institute, Qingdao 266100, China; (Y.L.); (X.Z.); (K.H.); (X.S.); (J.Y.); (Z.G.)
- National Engineering Research Center for Peanut, Qingdao 266100, China
| | - Xia Zhang
- Shandong Peanut Research Institute, Qingdao 266100, China; (Y.L.); (X.Z.); (K.H.); (X.S.); (J.Y.); (Z.G.)
- National Engineering Research Center for Peanut, Qingdao 266100, China
| | - Kang He
- Shandong Peanut Research Institute, Qingdao 266100, China; (Y.L.); (X.Z.); (K.H.); (X.S.); (J.Y.); (Z.G.)
- National Engineering Research Center for Peanut, Qingdao 266100, China
| | - Xinying Song
- Shandong Peanut Research Institute, Qingdao 266100, China; (Y.L.); (X.Z.); (K.H.); (X.S.); (J.Y.); (Z.G.)
- National Engineering Research Center for Peanut, Qingdao 266100, China
| | - Jing Yu
- Shandong Peanut Research Institute, Qingdao 266100, China; (Y.L.); (X.Z.); (K.H.); (X.S.); (J.Y.); (Z.G.)
- National Engineering Research Center for Peanut, Qingdao 266100, China
| | - Zhiqing Guo
- Shandong Peanut Research Institute, Qingdao 266100, China; (Y.L.); (X.Z.); (K.H.); (X.S.); (J.Y.); (Z.G.)
- National Engineering Research Center for Peanut, Qingdao 266100, China
| | - Manlin Xu
- Shandong Peanut Research Institute, Qingdao 266100, China; (Y.L.); (X.Z.); (K.H.); (X.S.); (J.Y.); (Z.G.)
- National Engineering Research Center for Peanut, Qingdao 266100, China
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Zhao Y, Chen Y, Wan Q, Xiao C, Guo Z, Du X, Hu Y, Zheng A, Cao Z. Identification of SAA1 as a novel metastasis marker in ovarian cancer and development of a graphene-based detection platform for early assessment. J Cancer Res Clin Oncol 2023; 149:16391-16406. [PMID: 37707574 DOI: 10.1007/s00432-023-05296-8] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 08/14/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND Ovarian cancer (OC) is a prevalent gynecological malignancy with the highest mortality rate, which generally diagnosed at late stages due to the lack of effective early screening methods and the nonspecific symptoms. Hence, here we aim to identify new metastasis markers and develop a novel detection method with the characteristics of high sensitivity, rapid detection, high specificity, and low cost when compared with other conventional detection technologies. METHODS Blood from OC patients with or without metastasis were collected and analyzed by 4D Label free LC - MS/MS. Surgically resect samples from OC patients were collected for Single cell RNA sequencing (sc-RNA seq). Short hairpin RNA (shRNA) was used to silence SAA1 expression in SKOV3 and ID8 to verify the relationship between endogenous SAA1 and tumor invasion or metastasis. The functional graphene chips prepared by covalent binding were used for SAA1 detection. RESULTS In our study, we identified Serum Amyloid A1 (SAA1) as a hematological marker of OC metastasis by comprehensive analysis of proteins in plasma from OC patients with or without metastasis using 4D Label free LC - MS/MS and gene expression patterns from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Further validation using tumor tissues and plasma from human OC and mouse OC model confirmed the correlation between SAA1 and tumor metastasis. Importantly, sc-RNA seq of human OC samples revealed that SAA1 was specifically expressed in tumor cells and upregulated in the metastasis group. The functional role of SAA1 in metastasis was demonstrated through experiments in vitro and in vivo. Based on these findings, we designed and investigated a graphene-based platform for SAA1 detection to predict the risk of metastasis of OC patients. CONCLUSION Our study suggests that SAA1 is a biomarker of OC metastasis, and we have developed a rapid and highly sensitive platform using graphene chips to detection of plasma SAA1 for the early assessment of metastasis in OC patients.
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Affiliation(s)
- Yilin Zhao
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 Section 3, Renmin South Road, Chengdu, 610041, People's Republic of China
| | - Yao Chen
- Department of Breast Surgery, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Qi Wan
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 Section 3, Renmin South Road, Chengdu, 610041, People's Republic of China
- Department of Gynecology and Obstetrics, West China Second Hospital, Sichuan University, Chengdu, 610041, China
| | - Chengju Xiao
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 Section 3, Renmin South Road, Chengdu, 610041, People's Republic of China
| | - Zhiqing Guo
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 Section 3, Renmin South Road, Chengdu, 610041, People's Republic of China
| | - Xinjie Du
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 Section 3, Renmin South Road, Chengdu, 610041, People's Republic of China
| | - Yan Hu
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 Section 3, Renmin South Road, Chengdu, 610041, People's Republic of China.
| | - Ai Zheng
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 Section 3, Renmin South Road, Chengdu, 610041, People's Republic of China.
- Department of Gynecology and Obstetrics, West China Second Hospital, Sichuan University, Chengdu, 610041, China.
| | - Zhongwei Cao
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, No.17 Section 3, Renmin South Road, Chengdu, 610041, People's Republic of China.
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Li Y, Song X, He K, Yu J, Xu M, Guo Z, Wang X, Zhang X. First Report of Colletotrichum gloeosporioides Causing Anthracnose on Peanut in Chongqing, China. Plant Dis 2023. [PMID: 38037206 DOI: 10.1094/pdis-10-23-2225-pdn] [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] [Indexed: 12/02/2023]
Abstract
In July 2022, dieback and discoloration were detected on infected stems of peanut in Qijiang District of Chongqing (106.56°E,29.41°N), China, with an incidence up to 5%. These peanut stems had disease symptoms typical of anthracnose with irregular gray-brown spots with dark brown edges, sunken, and necrotic. High temperature and high humidity were favorable for the growth of the pathogen. To isolate the pathogen, we collected 10 typical infected peanuts and cut one piece from each of symptomatic stems, surface sterilized with 0.5% NaClO for 1 min, and 75% ethanol for 30 s, then rinsed three times with sterile distilled water and dried on sterilized filter paper. These pieces were incubated on potato dextrose agar (PDA) at 25°C in the dark. Pure cultures were obtained from hyphal tips of each colony. It was found that isolates with the same colony morphology were isolated from each infected stem. A representative isolate (L7) was used for morphological characterization, molecular analysis, phylogenetic analysis, and pathogenicity tests. The colonies appeared white to gray, with white margins and aerial hyphae, and the reverse of the colonies was gray to brown. Conidia were cylindrical, aseptate, with obtuse to slightly rounded ends, 13.4 to 18.8 × 4.2 to 5.8 μm (n=50). Morphological characteristics were generally consistent with those of Colletotrichum gloeosporioides species complex (Cannon et al., 2012). For molecular identification, genomic DNA was extracted using a CTAB method and partial sequences of β-tubulin (TUB2), actin (ACT) genes, chitin synthase (CHS) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) genes were amplified and sequenced using primers T1/T2, ACT-512F/ACT-783R, CHS-79F/CHS-345R, and GDF1/GDR1, respectively (Damm et al., 2012; Dowling et al., 2020). Using the BLAST, TUB2, ACT, CHS and GAPDH gene sequences (GenBank accession No. OR714793, OP168707, OP168708 and OR714794, respectively) were100% (429 bp out of 429 bp), 99.22% (256 bp out of 258 bp), 99.64% (276 bp out of 277 bp) and 100% (253 bp out of 253 bp) identical to C. gloeosporioides CBS:112999 (JQ005587, JQ005500, JQ005326, and JQ005239), respectively. Using Neighbor-Joining algorithm, phylogenetic analysis was conducted based on the concatenated sequences of published TUB2, ACT, CHS and GAPDH genes. The identified isolate (L7) was closely related to C. gloeosporioides. To evaluate pathogenicity, the stems of ten peanut (Zhonghua12) seedlings (2 weeks) were wounded with a sterile toothpick and mycelial plugs (5 mm in diameter) or 20 μl of conidial suspension (105/ml) were inoculated. Non-colonized agar plugs or 20 μl of sterile distilled water were treated as control. After inoculation, the peanuts were kept in a moist chamber at 28°C with 80% humidity in the dark for 24 h, and subsequently transferred to the moist chamber with 12 h light and darkness cycle for 6 days, similar symptoms were observed on all inoculated peanuts. Controls remained asymptomatic. C. gloeosporioides was reisolated from the diseased stems and confirmed using morphological features and sequence analysis of TUB2, ACT, CHS and GAPDH. Anthracnose caused by C. truncatum and C. fructicola has been reported on peanut leaves in China (Gong et al., 2023; Yu et al., 2019). To our knowledge, this is the first report of anthracnose on peanut stem caused by C. gloeosporioides in Chongqing. Our report will provide crucial information for studying on epidemiology and management of this disease.
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Affiliation(s)
| | - Xinying Song
- Shandong Peanut Research Institute, 371496, 126 Wanniquan Road, Qingdao, Shandong, China, 266000;
| | - Kang He
- Shandong Peanut Research Institute, 371496, Qingdao, Shandong, China;
| | - Jing Yu
- Shandong Peanut Research Institute, 371496, Plant Protect, Qingdao, Shandong Province, China;
| | - Manlin Xu
- Licang District, 126 Wannianquan RoadQingdao, China, 266100;
| | - Zhiqing Guo
- Shandong Peanut Research Institute , Plant Protect, Wannianquan Road 126, Qingdao, Shandong Province, China, 266100;
| | | | - Xia Zhang
- Shandong Peanut Research Institute, 371496, Licang District, 126 Wannianquan Road, Qingdao, Shandong, Qingdao, China, 266100;
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Quan Y, Xu J, Xu Q, Guo Z, Ou R, Shang H, Wei Q. Association between the risk and severity of Parkinson's disease and plasma homocysteine, vitamin B12 and folate levels: a systematic review and meta-analysis. Front Aging Neurosci 2023; 15:1254824. [PMID: 37941998 PMCID: PMC10628521 DOI: 10.3389/fnagi.2023.1254824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 09/25/2023] [Indexed: 11/10/2023] Open
Abstract
Background Parkinson's disease (PD) is recognized as the second most prevalent progressive neurodegenerative disease among the elderly. However, the relationship between PD and plasma homocysteine (Hcy), vitamin B12, and folate has yielded inconsistent results in previous studies. Hence, in order to address this ambiguity, we conducted a meta-analysis to summarize the existing evidence. Methods Suitable studies published prior to May 2023 were identified by searching PubMed, EMBASE, Medline, Ovid, and Web of Science. The methodological quality of eligible studies was assessed using the Newcastle-Ottawa Quality Assessment Scale (NOS). Meta-analysis and publication bias were then performed using R version 4.3.1. Results The results of our meta-analysis, consisting of case-control and cross-sectional studies, showed that PD patients had lower folate and vitamin B12 levels (SMD [95%CI]: -0.30[-0.39, -0.22], p < 0.001 for Vitamin B12; SMD [95%CI]: -0.20 [-0.28, -0.13], p < 0.001 for folate), but a significant higher Hcy level (SMD [95%CI]: 0.86 [0.59, 1.14], p < 0.001) than healthy people. Meanwhile, PD was significantly related to hyperhomocysteinemia (SMD [95%]: 2.02 [1.26, 2.78], p < 0.001) rather than plasma Hcy below 15 μmol/L (SMD [95%]: -0.31 [-0.62, 0.00], p = 0.05). Subgroup analysis revealed associations between the Hcy level of PD patients and region (p = 0.03), age (p = 0.03), levodopa therapy (p = 0.03), Hoehn and Yahr stage (p < 0.001), and cognitive impairment (p < 0.001). However, gender (p = 0.38) and sample size (p = 0.49) were not associated. Conclusion Hcy, vitamin B12, and folic acid potentially predict the onset and development of PD. Additionally, multiple factors were linked to Hcy levels in PD patients. Further studies are needed to comprehend their roles in PD.
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Affiliation(s)
- Yuxin Quan
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jisen Xu
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qing Xu
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhiqing Guo
- State Key Laboratory of Biotherapy, Sichuan University, Chengdu, Sichuan, China
| | - Ruwei Ou
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qianqian Wei
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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11
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Song X, Li Y, He K, Zhang X, Yu J, Xu M, Guo Z, Zhang C, Chi Y. First Report of Root Rot Caused by Macrophomina phaseolina in Peanut Shandong Province, China. Plant Dis 2023. [PMID: 37578372 DOI: 10.1094/pdis-07-23-1334-pdn] [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] [Indexed: 08/15/2023]
Abstract
Peanut (Arachis hypogaea L.) is a widely grown oilseed crop of great agricultural importance worldwide. In July 2022, disease symptoms were observed on peanut roots in Laixi (36º85' N, 120º54' E), Shandong Province, China. About 25% of the plants showed various symptoms, including stem and root rot and blackening, microsclerotia on the stem, yellowing and wilting of leaves, and even death. Twenty diseased plants were collected to confirm the pathogen. Symptomatic roots were cut into small pieces, disinfested with 75% ethanol for 1 min and 0.5% NaClO for 2 min, rinsed three times with sterile water, dried on sterile filter paper, and then spread on potato dextrose agar (PDA) supplemented with 100 μg/mL chloramphenicol and incubated at 25°C in the dark. At the beginning of growth, the fungus formed sparse, white mycelia, which white, then darkened with age and microsclerotia were formed in the medium after 5 days. The mycelium aggregated into black, round to oblong or irregularly shaped microsclerotia 84 to 163 μm long and 54 to 125 μm wide (n=40). These morphological characteristics were consistent with the description of Macrophomina phaseolina (Holliday and Punithalingam, 1970). Molecular identification was performed by sequencing the internal transcribed spacer (ITS) region with ITS1 and ITS4 and translation elongation factor 1-alpha (TEF) with EF1-728F/EF1-986R (Glass and Donaldson 1995) of a representative isolate SXY183. ITS (OR056369) and TEF (OR098356) of SXY183 showed 100% and 97.74% similarity with M. phaseolina (KF951622, KF951997), respectively. Phylogenetic analysis was performed using Neighbor-Joining (NJ) analysis based on the gene sequences of ITS and TEF. The fungus was identified as M. phaseolina based on molecular analysis and morphological characteristics. The pathogenicity of a representative isolate (SXY183) was tested on peanuts under greenhouse conditions. Two-week-old peanut (Huayu No. 9115) seedlings were inoculated with a mycelial plug (8 mm diameter) at the root base of each plant and cultured in a greenhouse (30°C during the day and 25°C at night, a 12-h photoperiod, and 80% RH). Ten plants were inoculated with a plug of non-colonized PDA as a control. Brown lesions were observed on the stem and root of all inoculated seedlings 7 days after inoculation, but not on the control plants. The experiment was repeated three times. M. phaseolina was re-isolated from the symptomatic root and confirmed based on morphological characteristics and DNA sequence analysis of ITS and TEF. M. phaseolina is a soil-borne fungus that is distributed worldwide and has a broad host range. Disease agent has previously been reported on several host plants such as adzuki bean, faba bean, watermelon, Plukenetia volubilis, Atractylodes lancea and Curcuma longa in China (Cai et al., 2020; Sun et al. 2016; Sun et al., 2019; Sun et al., 2020; Wang et al., 2020; Wu et al., 2022). However, this is the first report in which M. phaseolina was found to cause peanut root rot in Shandong Province, China. Our report will provide important information for studying the epidemiology and management of this disease.
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Affiliation(s)
- Xinying Song
- Shandong Peanut Research Institute, 371496, 126 Wanniquan Road, Qingdao, Shandong, China, 266000;
| | | | - Kang He
- Shandong Peanut Research Institute, 371496, Qingdao, Shandong, China;
| | - Xia Zhang
- Shandong Peanut Research Institute, 371496, Licang District, 126 Wannianquan Road, Qingdao, Shandong, Qingdao, China, 266100;
| | - Jing Yu
- Shandong Peanut Research Institute, 371496, Plant Protect, Qingdao, Shandong Province, China;
| | - Manlin Xu
- Licang District, 126 Wannianquan RoadQingdao, China, 266100;
| | - Zhiqing Guo
- Shandong Peanut Research Institute , Plant Protect, Wannianquan Road 126, Qingdao, Shandong Province, China, 266100;
| | | | - Yucheng Chi
- Shandong Peanut Research Institute , Plant Protect, No. 126 Wannianquan Road, Licang, Qingdao, Shandong, 266100, China, Qingdao, Shandong Province, China, 266100
- Shandong Peanut Research Institute, 371496, Plant Protect, No. 126 Wannianquan Road, Licang, Qingdao, Shandong, 266100, China, Qingdao, Shandong Province, China, 266100;
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12
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Liu G, Guo Z, Liu W, Cao B, Chai S, Wang C. MSHHOTSA: A variant of tunicate swarm algorithm combining multi-strategy mechanism and hybrid Harris optimization. PLoS One 2023; 18:e0290117. [PMID: 37566618 PMCID: PMC10420394 DOI: 10.1371/journal.pone.0290117] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 08/02/2023] [Indexed: 08/13/2023] Open
Abstract
This paper proposes a novel hybrid algorithm, named Multi-Strategy Hybrid Harris Hawks Tunicate Swarm Optimization Algorithm (MSHHOTSA). The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. Firstly, inspired by the idea of the neighborhood and thermal distribution map, the hyperbolic tangent domain is introduced to modify the position of new tunicate individuals, which can not only effectively enhance the convergence performance of the algorithm but also ensure that the data generated between the unknown parameters and the old parameters have a similar distribution. Secondly, the nonlinear convergence factor is constructed to replace the original random factor c1 to coordinate the algorithm's local exploitation and global exploration performance, which effectively improves the ability of the algorithm to escape extreme values and fast convergence. Finally, the swarm update mechanism of the HHO algorithm is introduced into the position update of the TSA algorithm, which further balances the local exploitation and global exploration performance of the MSHHOTSA. The proposed algorithm was evaluated on eight standard benchmark functions, CEC2019 benchmark functions, four engineering design problems, and a PID parameter optimization problem. It was compared with seven recently proposed metaheuristic algorithms, including HHO and TSA. The results were analyzed and discussed using statistical indicators such as mean, standard deviation, Wilcoxon's rank sum test, and average running time. Experimental results demonstrate that the improved algorithm (MSHHOTSA) exhibits higher local convergence, global exploration, robustness, and universality than BOA, GWO, MVO, HHO, TSA, ASO, and WOA algorithms under the same experimental conditions.
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Affiliation(s)
- Guangwei Liu
- College of Mining, Liaoning Technical University, Fuxin, Liaoning, China
| | - Zhiqing Guo
- College of Mining, Liaoning Technical University, Fuxin, Liaoning, China
| | - Wei Liu
- College of Science, Liaoning Technical University, Fuxin, Liaoning, China
| | - Bo Cao
- College of Mining, Liaoning Technical University, Fuxin, Liaoning, China
| | - Senlin Chai
- School of Economics & Management, Yancheng Institute of Technology, Yancheng, Jiangsu, China
| | - Chunguang Wang
- China Coal Technology and Engineering Group Shenyang Research Institute, Fushun, China
- State Key Laboratory of Coal Mine Safety Technology, Fushun, China
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Lv C, Wang R, Li S, Yan S, Wang Y, Chen J, Wang L, Liu Y, Guo Z, Wang J, Pei Y, Yu L, Wu N, Lu F, Gao F, Chen J, Liu Y, Wang X, Li S, Han B, Zhang L, Ma Y, Ding L, Wang Y, Yuan X, Yang Y. Randomized phase II adjuvant trial to compare two treatment durations of icotinib (2 years versus 1 year) for stage II-IIIA EGFR-positive lung adenocarcinoma patients (ICOMPARE study). ESMO Open 2023; 8:101565. [PMID: 37348348 PMCID: PMC10515286 DOI: 10.1016/j.esmoop.2023.101565] [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: 02/21/2023] [Revised: 03/30/2023] [Accepted: 04/24/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND Despite the prolonged median disease-free survival (DFS) by adjuvant targeted therapy in non-small-cell lung cancer patients with epidermal growth factor receptor (EGFR) mutations, the relationship between the treatment duration and the survival benefits in patients remains unknown. PATIENTS AND METHODS In this multicenter, randomized, open-label, phase II trial, eligible patients aged 18-75 years with EGFR-mutant, stage II-IIIA lung adenocarcinoma and who had not received adjuvant chemotherapy after complete tumor resection were enrolled from eight centers in China. Patients were randomly assigned (1 : 1) to receive either 1-year or 2-year icotinib (125 mg thrice daily). The primary endpoint was DFS assessed by investigator. The secondary endpoints were overall survival (OS) and safety. This study was registered at ClinicalTrials.gov (NCT01929200). RESULTS Between September 2013 and October 2018, 109 patients were enrolled (1-year group, n = 55; 2-year group, n = 54). Median DFS was 48.9 months [95% confidence interval (CI) 33.1-70.1 months] in the 2-year group and 32.9 months (95% CI 26.6-44.8 months) in the 1-year group [hazard ratio (HR) 0.51; 95% CI 0.28-0.94; P = 0.0290]. Median OS for patients was 75.8 months [95% CI 64.4 months-not evaluable (NE)] in the 2-year group and NE (95% CI 66.3 months-NE) in the 1-year group (HR 0.34; 95% CI 0.13-0.95; P = 0.0317). Treatment-related adverse events (TRAEs) were observed in 41 of 55 (75%) patients in the 1-year group and in 36 of 54 (67%) patients in the 2-year group. Grade 3-4 TRAEs occurred in 4 of 55 (7%) patients in the 1-year group and in 3 of 54 (6%) patients in the 2-year group. No treatment-related deaths or interstitial lung disease was reported. CONCLUSIONS Two-year adjuvant icotinib was shown to significantly improve DFS and provide an OS benefit in EGFR-mutant, stage II-IIIA lung adenocarcinoma patients compared with 1-year treatment in this exploratory phase II study.
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Affiliation(s)
- C Lv
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - R Wang
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Hebi
| | - S Li
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - S Yan
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - Y Wang
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - J Chen
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - L Wang
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - Y Liu
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - Z Guo
- Department of Thoracic Surgery, The Affiliated Hospital of Inner Mongolia Medical University, Inner Mongolia
| | - J Wang
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - Y Pei
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - L Yu
- Department of Thoracic Surgery, Beijing Tongren Hospital, CMU, Beijing
| | - N Wu
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - F Lu
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - F Gao
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Hebi
| | - J Chen
- Thoracic Neoplasms Surgical Department, Tianjing Medical University General Hospital, Tianjing
| | - Y Liu
- Thoracic Neoplasms Surgical Department, Inner Mongolia People's Hospital, Inner Mongolia
| | - X Wang
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - S Li
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Beijing
| | - B Han
- Department of Thoracic Surgery, PLA Pocket Force Characteristic Medical Center, Beijing
| | - L Zhang
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - Y Ma
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing
| | - L Ding
- Betta Pharmaceuticals Co., Ltd, Hangzhou, China
| | - Y Wang
- Betta Pharmaceuticals Co., Ltd, Hangzhou, China
| | - X Yuan
- Betta Pharmaceuticals Co., Ltd, Hangzhou, China
| | - Y Yang
- Department of Thoracic Surgery II, Beijing Cancer Hospital, Beijing.
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Chen F, Pang C, Zheng Z, Zhou W, Guo Z, Xiao D, Du H, Bravo A, Soberón M, Sun M, Peng D. Aminopeptidase MNP-1 triggers intestine protease production by activating daf-16 nuclear location to degrade pore-forming toxins in Caenorhabditis elegans. PLoS Pathog 2023; 19:e1011507. [PMID: 37440595 PMCID: PMC10368266 DOI: 10.1371/journal.ppat.1011507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 06/23/2023] [Indexed: 07/15/2023] Open
Abstract
Pore-forming toxins (PFTs) are effective tools for pathogens infection. By disrupting epithelial barriers and killing immune cells, PFTs promotes the colonization and reproduction of pathogenic microorganisms in their host. In turn, the host triggers defense responses, such as endocytosis, exocytosis, or autophagy. Bacillus thuringiensis (Bt) bacteria produce PFT, known as crystal proteins (Cry) which damage the intestinal cells of insects or nematodes, eventually killing them. In insects, aminopeptidase N (APN) has been shown to act as an important receptor for Cry toxins. Here, using the nematode Caenorhabditis elegans as model, an extensive screening of APN gene family was performed to analyze the potential role of these proteins in the mode of action of Cry5Ba against the nematode. We found that one APN, MNP-1, participate in the toxin defense response, since the mnp-1(ok2434) mutant showed a Cry5Ba hypersensitive phenotype. Gene expression analysis in mnp-1(ok2434) mutant revealed the involvement of two protease genes, F19C6.4 and R03G8.6, that participate in Cry5Ba degradation. Finally, analysis of the transduction pathway involved in F19C6.4 and R03G8.6 expression revealed that upon Cry5Ba exposure, the worms up regulated both protease genes through the activation of the FOXO transcription factor DAF-16, which was translocated into the nucleus. The nuclear location of DAF-16 was found to be dependent on mnp-1 under Cry5Ba treatment. Our work provides evidence of new host responses against PFTs produced by an enteric pathogenic bacterium, resulting in activation of host intestinal proteases that degrade the PFT in the intestine.
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Affiliation(s)
- Feng Chen
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
| | - Cuiyun Pang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
| | - Ziqiang Zheng
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
| | - Wei Zhou
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
| | - Zhiqing Guo
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
| | - Danyang Xiao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
| | - Hongwen Du
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
| | - Alejandra Bravo
- Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico
| | - Mario Soberón
- Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico
| | - Ming Sun
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
| | - Donghai Peng
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China
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15
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An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Cheng J, Cheng J, Cheng YC, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dugas KV, Duyang HY, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Han Y, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Russell B, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Tung YC, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Improved Measurement of the Evolution of the Reactor Antineutrino Flux and Spectrum at Daya Bay. Phys Rev Lett 2023; 130:211801. [PMID: 37295075 DOI: 10.1103/physrevlett.130.211801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 02/10/2023] [Accepted: 04/27/2023] [Indexed: 06/12/2023]
Abstract
Reactor neutrino experiments play a crucial role in advancing our knowledge of neutrinos. In this Letter, the evolution of the flux and spectrum as a function of the reactor isotopic content is reported in terms of the inverse-beta-decay yield at Daya Bay with 1958 days of data and improved systematic uncertainties. These measurements are compared with two signature model predictions: the Huber-Mueller model based on the conversion method and the SM2018 model based on the summation method. The measured average flux and spectrum, as well as the flux evolution with the ^{239}Pu isotopic fraction, are inconsistent with the predictions of the Huber-Mueller model. In contrast, the SM2018 model is shown to agree with the average flux and its evolution but fails to describe the energy spectrum. Altering the predicted inverse-beta-decay spectrum from ^{239}Pu fission does not improve the agreement with the measurement for either model. The models can be brought into better agreement with the measurements if either the predicted spectrum due to ^{235}U fission is changed or the predicted ^{235}U, ^{238}U, ^{239}Pu, and ^{241}Pu spectra are changed in equal measure.
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Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Y-C Cheng
- Department of Physics, National Taiwan University, Taipei
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - K V Dugas
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | | | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - Y Han
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No. 100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
- The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B Russell
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Y C Tung
- Department of Physics, National Taiwan University, Taipei
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Brookhaven National Laboratory, Upton, New York 11973
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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16
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An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Chen ZY, Cheng J, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Ding XY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Duyang HY, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Han Y, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Pan HR, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Russell B, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wei W, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Precision Measurement of Reactor Antineutrino Oscillation at Kilometer-Scale Baselines by Daya Bay. Phys Rev Lett 2023; 130:161802. [PMID: 37154643 DOI: 10.1103/physrevlett.130.161802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 02/24/2023] [Indexed: 05/10/2023]
Abstract
We present a new determination of the smallest neutrino mixing angle θ_{13} and the mass-squared difference Δm_{32}^{2} using a final sample of 5.55×10^{6} inverse beta-decay (IBD) candidates with the final-state neutron captured on gadolinium. This sample is selected from the complete dataset obtained by the Daya Bay reactor neutrino experiment in 3158 days of operation. Compared to the previous Daya Bay results, selection of IBD candidates has been optimized, energy calibration refined, and treatment of backgrounds further improved. The resulting oscillation parameters are sin^{2}2θ_{13}=0.0851±0.0024, Δm_{32}^{2}=(2.466±0.060)×10^{-3} eV^{2} for the normal mass ordering or Δm_{32}^{2}=-(2.571±0.060)×10^{-3} eV^{2} for the inverted mass ordering.
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Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - Z Y Chen
- Institute of High Energy Physics, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | | | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | | | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - Y Han
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No.100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
- The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B Russell
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - W Wei
- Shandong University, Jinan
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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Li Y, Yu J, Guo Z, Song X, Xu M, He K, Zhang X, Chi Y. First report of peanut root rot caused by Fusarium acuminatum in Shandong Province, China. Plant Dis 2023. [PMID: 37079009 DOI: 10.1094/pdis-11-22-2681-pdn] [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] [Indexed: 05/03/2023]
Abstract
Peanut (Arachis hypogaea L.) is one of the most economically important crops as a major source of edible oil and protein. In July 2021, a root rot disease was observed on peanut in Laiwu (36º22' N, 117º67' E), Shandong Province, China. Disease incidence was approximately 35%. Disease symptoms included root rot, vessels with a brown to dark brown discoloration, plus progressive yellowing and wilting of leaves from the base leading to whole plant death. To determine the causal agent, symptomatic roots with typical lesions were cut into small pieces, surface sterilized in 75% ethanol for 30 s, and 2% NaClO for 5 min, rinsed three times in sterile water and placed on potato dextrose agar (PDA) at 25℃ (Leslie and Summerell 2006). After 3 days of incubation, whitish-pink to red colonies growing from the roots were observed. Eight single-spore isolates had identical morphological traits that were similar to those of Fusarium spp. A representative isolate (LW-5) was used for morphological characterization, molecular analysis, and pathogenicity test. On PDA, the isolate formed dense aerial mycelia, which were initially white, then became deep pink with age and formed red pigments in the medium. On carnation leaf agar (CLA), macroconidia with 3 to 5 septa were abundant, relatively slender, curved to lunate, that measured 23.7 to 52.2 × 3.6 to 5.4 μm (n=50). Microconidia were oval, 0 to 1 septa. Chlamydospores were globose with a smooth outer wall in chains or single. Following DNA extraction of isolate LW-5, primers EF1-728F/EF1-986R (Carbone et al., 1999), RPB1U/RPB1R, and RPB2U/RPB2R (Ponts et al., 2020) were used to amplify the partial translation elongation factor 1 alpha (TEF1-α), RNA polymerase II largest subunit (RPB1), and RNA polymerase II second largest subunit (RPB2) regions for DNA sequencing, respectively. BLASTn analysis of TEF1-α (GenBank accession No. OP838084), RPB1 (OP838085), and RPB2 (OP838086) sequences, revealed 99.66, 99.87, and 99.09% identity with those of F. acuminatum (OL772800, OL772952 and OL773104), respectively. Isolate LW-5 was identified as F. acuminatum based on morphology and molecular analysis. Twenty Huayu36 peanut seeds were each planted in a 500-ml sterile pot containing 300 g of autoclaved potting medium (nutritive soil: vermiculite=2:1 in volume). Two weeks after seedling emergence, 1 cm depth of the potting medium was dug around the plants to expose the taproot. Two 5-mm wounds per taproot were scratched with a sterile syringe needle. Potting medium in each pot of 10 inoculated plants was mixed with 5 ml of conidial suspension (106 conidia per ml). The other 10 plants were used as non-inoculated controls and treated with sterile water in the same manner. The seedlings were placed in a plant growth chamber maintained at 25°C, RH >70%, 16-h light per day, and irrigated with sterile water. After 4 weeks, inoculated plants exhibited yellowing and wilting symptoms that were similar to those observed in the field, while non-inoculated control plants had no symptoms. F. acuminatum was re-isolated from diseased roots and confirmed using morphological features and DNA sequence analysis of TEF1-α, RPB1 and RPB2. F. acuminatum was reported to cause root rot on Ophiopogon japonicus (Linn. f.) (Tang et al., 2020), Polygonatum odoratum (Li et al., 2021), and Schisandra chinensis (Shen et al., 2022) in China. To our knowledge, this is the first report of root rot on peanut caused by F. acuminatum in Shandong Province, China. Our report will provide crucial information for studying the epidemiology and management of this disease.
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Affiliation(s)
- Ying Li
- Shandong Peanut Research Institute, 371496, Plant protect, Qingdao, Shandong, China;
| | - Jing Yu
- Shandong Peanut Research Institute, 371496, Plant Protect, Qingdao, Shandong Province, China;
| | - Zhiqing Guo
- Shandong Peanut Research Institute , Plant Protect, Wannianquan Road 126, Qingdao, Shandong Province, China, 266100;
| | - Xinying Song
- Shandong Peanut Research Institute, 371496, Qingdao, Shandong, China;
| | - Manlin Xu
- Licang District, 126 Wannianquan RoadQingdao, China, 266100;
| | - Kang He
- Shandong Peanut Research Institute, 371496, Qingdao, Shandong, China;
| | - Xia Zhang
- Shandong Peanut Research Institute, 371496, Licang District, 126 Wannianquan Road, Qingdao, Shandong, Qingdao, China, 266100;
| | - Yucheng Chi
- Shandong Peanut Research Institute , Plant Protect, No. 126 Wannianquan Road, Licang, Qingdao, Shandong, 266100, China, Qingdao, Shandong Province, China, 266100
- Shandong Peanut Research Institute, 371496, Plant Protect, No. 126 Wannianquan Road, Licang, Qingdao, Shandong, 266100, China, Qingdao, Shandong Province, China, 266100;
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Yu J, Xiao K, Chen X, Deng L, Zhang L, Li Y, Gao A, Gao J, Wu C, Yang X, Zhou Q, Yang J, Bao C, Jiao J, Cheng S, Guo Z, Xu W, Cao X, Guo Z, Dai J, Hu J, Fu Z, Cao G. Neuron-derived neuropeptide Y fine-tunes the splenic immune responses. Neuron 2023; 111:1346-1347. [PMID: 37080169 DOI: 10.1016/j.neuron.2023.03.032] [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: 04/22/2023]
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19
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Si TG, Li L, Guo Z, Xu B. [Chinese expert consensus on perioperative management of renal tumor cryoablation (2022 edition)]. Zhonghua Nei Ke Za Zhi 2023; 62:363-368. [PMID: 37032130 DOI: 10.3760/cma.j.cn112138-20221024-00780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/11/2023]
Abstract
In recent years, the incidence of renal cancer has been increasing continuously. Surgical resection is the "gold standard" for the treatment of small renal cancer. However, local ablation therapy of renal cancer is undoubtedly the best choice for patients with short life expectancy, other complications, and impaired renal function who are not suitable for surgery. In recent years, with the development of ablation techniques and long-term follow-up, local ablation has shown good therapeutic effects. As many domestic hospitals are performing or planning to perform renal tumor cryoablation to improve the clinical cure rate and surgical safety of renal tumor cryoablation, it is necessary to standardize the surgical indications, contraindications, perioperative management, efficacy evaluation, and other common problems. Currently, there is no expert consensus regarding perioperative renal tumor cryoablation in China. To standardize the perioperative management of renal tumor cryoablation and related technical operations in clinical practice, and improve the effectiveness and safety of cryoablation, the expert committee of Tumor Interventional and Minimally Invasive Diagnosis and Treatment Continuing Education Base of the Chinese Anti-Cancer Association convened experts in related fields to discuss and formulate this consensus, which is hereby published, for clinical reference and application.
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Affiliation(s)
- T G Si
- Department of Interventional Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - L Li
- Department of Urology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, China
| | - Z Guo
- Department of Interventional Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - B Xu
- Department of Urology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, China
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Ju Y, Liu K, Ma G, Zhu B, Wang H, Hu Z, Zhao J, Zhang L, Cui K, He XR, Huang M, Li Y, Xu S, Gao Y, Liu K, Liu H, Zhuo Z, Zhang G, Guo Z, Ye Y, Zhang L, Zhou X, Ma S, Qiu Y, Zhang M, Tao Y, Zhang M, Xian L, Xie W, Wang G, Wang Y, Wang C, Wang DH, Yu K. Bacterial antibiotic resistance among cancer inpatients in China: 2016-20. QJM 2023; 116:213-220. [PMID: 36269193 DOI: 10.1093/qjmed/hcac244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 09/16/2022] [Accepted: 10/10/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND The incidence of infections among cancer patients is as high as 23.2-33.2% in China. However, the lack of information and data on the number of antibiotics used by cancer patients is an obstacle to implementing antibiotic management plans. AIM This study aimed to investigate bacterial infections and antibiotic resistance in Chinese cancer patients to provide a reference for the rational use of antibiotics. DESIGN This was a 5-year retrospective study on the antibiotic resistance of cancer patients. METHODS In this 5-year surveillance study, we collected bacterial and antibiotic resistance data from 20 provincial cancer diagnosis and treatment centers and three specialized cancer hospitals in China. We analyzed the resistance of common bacteria to antibiotics, compared to common clinical drug-resistant bacteria, evaluated the evolution of critical drug-resistant bacteria and conducted data analysis. FINDINGS Between 2016 and 2020, 216 219 bacterial strains were clinically isolated. The resistance trend of Escherichia coli and Klebsiella pneumoniae to amikacin, ciprofloxacin, cefotaxime, piperacillin/tazobactam and imipenem was relatively stable and did not significantly increase over time. The resistance of Pseudomonas aeruginosa strains to all antibiotics tested, including imipenem and meropenem, decreased over time. In contrast, the resistance of Acinetobacter baumannii strains to carbapenems increased from 4.7% to 14.7%. Methicillin-resistant Staphylococcus aureus (MRSA) significantly decreased from 65.2% in 2016 to 48.9% in 2020. CONCLUSIONS The bacterial prevalence and antibiotic resistance rates of E. coli, K. pneumoniae, P. aeruginosa, A. baumannii, S. aureus and MRSA were significantly lower than the national average.
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Affiliation(s)
- Y Ju
- From the Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - K Liu
- Department of Critical Care Medicine, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - G Ma
- Department of Critical Care Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - B Zhu
- Department of Critical Care Medicine, Fudan University Shanghai Cancer Center, Shanghai, China
| | - H Wang
- Department of Critical Care Medicine, Peking University Cancer Hospital & Institute, Beijing, China
| | - Z Hu
- Department of Critical Care Medicine, Hebei Tumor Hospital, Shijiazhuang, China
| | - J Zhao
- Department of Critical Care Medicine, Hunan Cancer Hospital, Changsha, China
| | - L Zhang
- Department of Critical Care Medicine, Hubei Cancer Hospital, Wuhan, China
| | - K Cui
- Department of Critical Care Medicine, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - X-R He
- Department of Critical Care Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - M Huang
- Department of Critical Care Medicine, Shanxi Tumor Hospital, Taiyuan, China
| | - Y Li
- Department of Critical Care Medicine, Guangxi Medical University Cancer Hospital, Nanning, China
| | - S Xu
- Department of Critical Care Medicine, Sichuan Cancer Hospital, Chengdu, China
| | - Y Gao
- Department of Critical Care Medicine, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - K Liu
- Department of Critical Care Medicine, Zhejiang Cancer Hospital, Hangzhou, China
| | - H Liu
- From the Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - Z Zhuo
- From the Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - G Zhang
- Department of Critical Care Medicine, Jilin Tumor Hospital, Changchun, China
| | - Z Guo
- Department of Critical Care Medicine, Shandong Cancer Hospital and Institute, Shandong, China
| | - Y Ye
- Department of Critical Care Medicine, Fujian Cancer Hospital, Fuzhou, China
| | - L Zhang
- Department of Critical Care Medicine, Anhui Provincial Cancer Hospital, Hefei, China
| | - X Zhou
- Department of Critical Care Medicine, Gansu Provincial Cancer Hospital, Lanzhou, China
| | - S Ma
- Department of Critical Care Medicine, Jiangsu Cancer Hospital, Nanjing, China
| | - Y Qiu
- Department of Critical Care Medicine, Jiangxi Cancer Hospital, Nanchang, China
| | - M Zhang
- Department of Critical Care Medicine, Hangzhou Cancer Hospital, Hangzhou, China
| | - Y Tao
- Department of Critical Care Medicine, Nantong Tumor Hospital, Nantong, China
| | - M Zhang
- Department of Critical Care Medicine, Baotou Cancer Hospital, Baotou, China
| | - L Xian
- Department of Critical Care Medicine, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
| | - W Xie
- Department of Critical Care Medicine, The Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, China
| | - G Wang
- Department of Critical Care Medicine, The First Hospital of Jilin University, Changchun, China
| | - Y Wang
- Department of Critical Care Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - C Wang
- From the Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - D-H Wang
- Department of Critical Care Medicine, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - K Yu
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
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Guo Z, Wang Z, Ji W. [Selection of classic laryngeal mask airway size based on ideal body mass in patients with low body mass index: a randomized trial]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:460-465. [PMID: 37087592 PMCID: PMC10122727 DOI: 10.12122/j.issn.1673-4254.2023.03.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 04/24/2023]
Abstract
OBJECTIVE To compare the effect of laryngeal mask airway (LMA) size selection based on ideal and actual body mass on the success rate of first insertion in patients with low body mass index (BMI). METHODS This study was performed in 137 patients aged 18-60 years with BMI below 18.5 kg/m2, in whom discrepancies occurred in the selection of LMA size based on their actual body mass and the ideal body mass. The patients were randomized divided into ideal body mass group and actual body mass group, in which the size of LMA was selected based on the ideal body mass and their actual body mass, respectively. The success rate of first LMA insertion, overall success rate, fiberoptic visual field grade, leakage pressure, and LMA-related complications of the patients were recorded during the maintenance and recovery of anesthesia. RESULTS The success rate of first LMA insertion was significantly higher in ideal body mass group than in the actual body mass group (86.8% vs 68.1%, P=0.016). Compared with those in the actual body mass group, the patients in the ideal body mass group used larger LMA (P < 0.005) and had better fiberoptic field scores (P=0.001) and higher airway seal pressure (P < 0.005). The peak inspiratory pressure (P=0.154) or the incidence of LMA-related complications during anesthesia maintenance and recovery did not differ significantly between the two groups (P>0.05). CONCLUSION The size selection of LMA based on the ideal body mass of the patients, determined according to their height and sex, can significantly improve the success rate of first LMA insertion in patients with low BMI.
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Affiliation(s)
- Z Guo
- Department of Anesthesiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Z Wang
- Department of Anesthesiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - W Ji
- Department of Anesthesiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
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Zhang H, Guo Z, Wang X, Xian J, Zou L, Zheng C, Zhang J. Correction: Protective mechanisms of Zanthoxylum bungeanum essential oil on DSS-induced ulcerative colitis in mice based on a colonic mucosal transcriptomic approach. Food Funct 2023; 14:1795. [PMID: 36655878 DOI: 10.1039/d3fo90004e] [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: 01/20/2023]
Abstract
Correction for 'Protective mechanisms of Zanthoxylum bungeanum essential oil on DSS-induced ulcerative colitis in mice based on a colonic mucosal transcriptomic approach' by Huan Zhang et al., Food Funct., 2022, 13, 9324-9339, https://doi.org/10.1039/D1FO04323D.
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Affiliation(s)
- Huan Zhang
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China.
| | - Zhiqing Guo
- Oncology Teaching and Research Department, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China.
| | - Xiao Wang
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China.
| | - Jing Xian
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China.
| | - Liang Zou
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Chengdu University, Chengdu, 610106, China
| | - Chuan Zheng
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China. .,Oncology Teaching and Research Department, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China.
| | - Jinming Zhang
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China.
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Hu H, Guo Z, Wu J, Ma L. Outcomes of Patients Undergoing Rotational Atherectomy with Intra-Aortic Balloon Pump Support in Patients with Multivessel Disease and Low Left Ventricular Ejection Fraction. Rev Cardiovasc Med 2023. [DOI: 10.31083/j.rcm2401027] [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: 01/15/2023] Open
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He K, Song X, Li Y, Xu M, Guo Z, Yu J, Chi X, Zhang X, Chi Y. First Report of Nigrospora aurantiaca Causing Leaf Blight Disease of Peanut in China. Plant Dis 2022; 107:2221. [PMID: 36471468 DOI: 10.1094/pdis-05-22-1134-pdn] [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] [Indexed: 06/17/2023]
Abstract
In June 2021, a previously unreported leaf blight disease of peanut (Arachis hypogaea) was observed on field-grown peanut (Jinhua19) in Laixi city, Shandong province of China. Approximately 5% of plants showed disease symptoms in the fields we investigated. The symptoms first appeared as yellow round or irregular spots on leaves, and then the spots became brown. As the disease progressed, spots became larger and even converge, which later produced leaf chlorosis and abscission. Symptomatic leaves were cut into small pieces, surface disinfested with 70% ethanol for 30s, 1% NaClO for 60s, rinsed three times in sterile water, dried on sterile filter papers, placed on potato dextrose agar (PDA) media, and incubated at 25°C in darkness. Fungal cultures were initially white, with red pigment, then turned gray, and eventually turned black, and aerial hyphae were dense. Conidia were spherical or slightly ellipsoidal, black, smooth, and 8.6 to 11.5 × 8.7 to 14.5μm (n=50). Morphological characteristics of the isolates matched the description of Nigrospora aurantiaca (Wang et al. 2017). Molecular identification was performed by sequencing beta tubulin gene (TUB) with Bt2a/Bt2b and translation elongation factor 1-alpha (TEF) with EF1-728F/EF1-986R (Wang et al. 2021) of a representative isolate ZHX11. TUB (OK489789) and TEF (OK489790) of ZHX11 obtained 100% (401/401 nucleotides) and 99.64% (279/279 nucleotides) similar to those of N. aurantiaca (MN329935, MN264010), respectively. Alignment was conducted separately for each gene set using Clustal W algorithm implemented in MEGA 7.0 (Kumar et al. 2016), and multi-gene (TUB and TEF) phylogenetic analyses using Neighbor-Joining (NJ) method showed that the isolate was N. aurantiaca. To complete Koch's postulates, nine 2-week-old peanut (Zhonghua 12) seedlings were sprayed with conidia suspensions (106 conidia mL-1 in 0.05% Tween 20 buffer). The same number of seedlings were only treated with 0.05% Tween buffer as controls. The experiment was repeated three times. Plants were incubated in a growth chamber (30°C in the day and 25°C at night, a 12-h photoperiod and 80% RH). Ten days after inoculation, typical symptoms were observed on inoculated leaves but not on the controls. N. aurantiaca was reisolated from the diseased leaves but not from the controls. N. sphaerica was observed on peanut in China (Liu et al. 2020). To our knowledge, this is the first report of N. aurantiaca causing leaf blight on peanut in shandong province, China. These findings will help to develop better preventive measures in accordance with the emergence of the new disease.
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Affiliation(s)
- Kang He
- Shandong Peanut Research Institute, 371496, Qingdao, Shandong, China;
| | - Xinying Song
- Shandong Peanut Research Institute, 371496, Qingdao, Shandong, China;
| | | | - Manlin Xu
- Licang District, 126 Wannianquan RoadQingdao, China, 266100;
| | - Zhiqing Guo
- Shandong Peanut Research Institute , Plant Protect, Wannianquan Road 126, Qingdao, Shandong Province, China, 266100;
| | - Jing Yu
- Shandong Peanut Research Institute, 371496, Plant Protect, Qingdao, Shandong Province, China;
| | | | - Xia Zhang
- Shandong Peanut Research Institute, 371496, Licang District, 126 Wannianquan Road, Qingdao, Shandong, Qingdao, China, 266100;
| | - Yucheng Chi
- Shandong Peanut Research Institute , Plant Protect, No. 126 Wannianquan Road, Licang, Qingdao, Shandong, 266100, China, Qingdao, Shandong Province, China, 266100
- Shandong Peanut Research Institute, 371496, Plant Protect, No. 126 Wannianquan Road, Licang, Qingdao, Shandong, 266100, China, Qingdao, Shandong Province, China, 266100;
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Manickam A, Peterson J, Mei W, Murdoch D, Margolis D, Oesterling A, Guo Z, Rudin C, Jiang Y, Browne E. PP 1.33 – 00167 Integrated single-cell multi-omic profiling of HIV latency reversal. J Virus Erad 2022. [DOI: 10.1016/j.jve.2022.100137] [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: 12/24/2022] Open
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Guo Z, Hu H, Hua J, Ma L. Comparison of Two Different Rota-Flush Solutions in Patients Undergoing Rotational Atherectomy: A Randomized, Controlled, Triple-Blind Trial. Cardiol Ther 2022; 11:531-543. [PMID: 36131172 PMCID: PMC9652180 DOI: 10.1007/s40119-022-00279-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 09/05/2022] [Indexed: 11/26/2022] Open
Abstract
INTRODUCTION This prospective study accessed the feasibility and safety of the heparin rota-flush solution in patients undergoing rotational atherectomy (RA). METHODS Between August 2019 and November 2021, 200 patients who underwent RA were included in this study, among whom 103 (51.5%) were randomly allocated into the heparin rota-flush group and 97 (48.5%) into the traditional rota-flush group. The primary endpoint was the incidence of slow flow/no-reflow after RA; the secondary endpoints were procedural success, RA-related procedural complications, and in-hospital major adverse cardiovascular events (MACE). RESULTS There were no significant differences in baseline clinical and angiographic characteristics between the two groups. Thirty patients (29.1%) in the heparin rota-flush group and nineteen patients (19.6%) in the traditional rota-flush groups developed slow flow/no-reflow (P = 0.117), respectively, and procedural success was also comparable (97.1% vs. 93.8%, P = 0.320). Severe hypotension (systolic blood pressure < 90 mmHg) was not significantly different (15.5% vs. 16.5%, P = 0.841), but the incidence of coronary spasm was significantly higher in the heparin rota-flush group (42.7% vs. 22.7%, P = 0.003). MACE including stent-thrombosis (ST), target-lesion revascularization (TLR), and cardiac death were also comparable between the two groups; no stroke was observed. CONCLUSIONS The findings suggest that although continuous intracoronary infusion of heparin rota-flush solution does not increase the incidence of slow flow/no-reflow, traditional rota-flush solution without RotaGlide prevents coronary spasm more effectively compared to the heparin rota-flush without significant impact on severe hypotension. These results do not support a strategy of routine use of heparin rota-flush solution in patients receiving RA procedures.
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Affiliation(s)
- Zhiqing Guo
- Department of Cardiology, The Affiliated Anhui Provincial Hospital of Anhui Medical University, Hefei, No. 17 Lu jiang Road, Hefei, 230001 Anhui China
- Department of Cardiology, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001 Anhui China
| | - Hao Hu
- Department of Cardiology, The Affiliated Anhui Provincial Hospital of Anhui Medical University, Hefei, No. 17 Lu jiang Road, Hefei, 230001 Anhui China
- Department of Cardiology, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001 Anhui China
| | - Jinsheng Hua
- Department of Cardiology, The Affiliated Anhui Provincial Hospital of Anhui Medical University, Hefei, No. 17 Lu jiang Road, Hefei, 230001 Anhui China
- Department of Cardiology, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001 Anhui China
| | - Likun Ma
- Department of Cardiology, The Affiliated Anhui Provincial Hospital of Anhui Medical University, Hefei, No. 17 Lu jiang Road, Hefei, 230001 Anhui China
- Department of Cardiology, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001 Anhui China
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Zhang H, Guo Z, Wang X, Xian J, Zou L, Zheng C, Zhang J. Protective mechanisms of Zanthoxylum bungeanum essential oil on DSS-induced ulcerative colitis in mice based on a colonic mucosal transcriptomic approach. Food Funct 2022; 13:9324-9339. [PMID: 36069282 DOI: 10.1039/d1fo04323d] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
The ameliorative effects on ulcerative colitis (UC) as well as the related mechanisms of the essential oil derived from the edible herb Zanthoxylum bungeanum Maxim (ZBEO) have been demonstrated herein. Based on GC-MS analysis, 45 volatile compounds in ZBEO were determined for its quality control. In vitro studies showed that after pretreatment with ZBEO, the disordered expression levels of pro-inflammatory cytokines (TNF-α, IL-6, and IL-1β) and an anti-inflammatory cytokine (IL-10) on colon epithelial NCM460 cells induced by lipopolysaccharide (LPS) could be reversed. Additionally, oral administration of ZBEO significantly alleviated colitis in dextran sulfate sodium (DSS)-induced UC mice, including body weight loss, colon length shortening, disease activity index and colonic pathological damage. Furthermore, to uncover the anti-UC mechanisms of ZBEO, analysis of transcriptomes by next-generation sequencing technology was performed to explore the RNA genetic variation on colon tissues. Based on GO analysis and KEGG pathway analysis, a series of genetic pathways involved in the protective role of ZBEO against UC were determined. As a result, ZBEO treatment could decrease the expression of VCAM-1, TLR8, IL-1β and IL-11 mRNA as verified by qRT-PCR, which are involved in these potential genetic pathways. In conclusion, ZBEO administration would be a medicinal or dietary supplementation strategy for ulcerative colitis treatment.
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Affiliation(s)
- Huan Zhang
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China.
| | - Zhiqing Guo
- Oncology Teaching and Research Department, Hospital of Chengdu University of Traditional of Chinese Medicine, Chengdu 610072, China.
| | - Xiao Wang
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China.
| | - Jing Xian
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China.
| | - Liang Zou
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Chengdu University, Chengdu, 610106, China
| | - Chuan Zheng
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China. .,Oncology Teaching and Research Department, Hospital of Chengdu University of Traditional of Chinese Medicine, Chengdu 610072, China.
| | - Jinming Zhang
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China.
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Bao J, Guo Z, He J, Leng T, Wei Z, Wang C, Chen F. Semen parameters and sex hormones as affected by SARS-CoV-2 infection: A systematic review. Prog Urol 2022; 32:1431-1439. [PMID: 36153222 PMCID: PMC9468308 DOI: 10.1016/j.purol.2022.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 07/31/2022] [Accepted: 09/05/2022] [Indexed: 11/23/2022]
Abstract
Background Impaired semen quality and reproductive hormone levels were observed in patients during and after recovery from coronavirus disease 2019 (COVID-19), which raised concerns about negative effects on male fertility. Therefore, this study systematically reviews available data on semen parameters and sex hormones in patients with COVID-19. Methods Systematic search was performed on PubMed and Google Scholar until July 18th, 2022. We identified relevant articles that discussed the effects of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on male fertility. Results A total number of 1,684 articles were identified by using a suitable keyword search strategy. After screening, 26 articles were considered eligible for inclusion in this study. These articles included a total of 1,960 controls and 2,106 patients. When all studies were considered, the results showed that the semen parameters and sex hormone levels of patients infected with SARS-CoV-2 exhibited some significant differences compared with controls. Fortunately, these differences gradually disappear as patients recover from COVID-19. Conclusion While present data show the negative effects of SARS-CoV-2 infection on male fertility, this does not appear to be long-term. Semen quality and hormone levels will gradually increase to normal as patients recover.
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Affiliation(s)
- J Bao
- Jining Medical University, 133, Hehua Road, 272067 Jining, China.
| | - Z Guo
- Jining Medical University, 133, Hehua Road, 272067 Jining, China.
| | - J He
- Jining Medical University, 133, Hehua Road, 272067 Jining, China.
| | - T Leng
- Jining Medical University, 133, Hehua Road, 272067 Jining, China.
| | - Z Wei
- Jining Medical University, 133, Hehua Road, 272067 Jining, China.
| | - C Wang
- Jining Medical University, 133, Hehua Road, 272067 Jining, China.
| | - F Chen
- Jining Medical University, 133, Hehua Road, 272067 Jining, China.
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Wu D, Lan S, Guo Z, Niu N, Zhang Y, Gui J. 1501P Preliminary analysis of a single-arm, multi-center study of anlotinib combined with toripalimab in first-line treatment of unresectable or metastatic undifferentiated pleomorphic sarcoma. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1604] [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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Chen J, Yang G, Xia M, Guo Z, Huang T. HDNet: A dual-stream network with progressive fusion for image hazing detection. Journal of Information Security and Applications 2022. [DOI: 10.1016/j.jisa.2022.103271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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31
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Pappalardo A, Vasilikos P, Nathaniel M, Guo Z, Abaci H, Christiano A. 602 An in vitro psoriasis model for high throughput screening. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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32
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An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Cheng J, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Pan HR, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. First Measurement of High-Energy Reactor Antineutrinos at Daya Bay. Phys Rev Lett 2022; 129:041801. [PMID: 35939015 DOI: 10.1103/physrevlett.129.041801] [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: 03/17/2022] [Revised: 06/05/2022] [Accepted: 06/28/2022] [Indexed: 06/15/2023]
Abstract
This Letter reports the first measurement of high-energy reactor antineutrinos at Daya Bay, with nearly 9000 inverse beta decay candidates in the prompt energy region of 8-12 MeV observed over 1958 days of data collection. A multivariate analysis is used to separate 2500 signal events from background statistically. The hypothesis of no reactor antineutrinos with neutrino energy above 10 MeV is rejected with a significance of 6.2 standard deviations. A 29% antineutrino flux deficit in the prompt energy region of 8-11 MeV is observed compared to a recent model prediction. We provide the unfolded antineutrino spectrum above 7 MeV as a data-based reference for other experiments. This result provides the first direct observation of the production of antineutrinos from several high-Q_{β} isotopes in commercial reactors.
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Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No. 100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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Ning S, He C, Guo Z, Zhang H, Mo Z. [VIPR1 promoter methylation promotes transcription factor AP-2 α binding to inhibit VIPR1 expression and promote hepatocellular carcinoma cell growth in vitro]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:957-965. [PMID: 35869757 DOI: 10.12122/j.issn.1673-4254.2022.07.01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To explore the transcriptional regulation mechanism and biological function of low expression of vasoactive intestinal peptide receptor 1 (VIPR1) in hepatocellular carcinoma (HCC). METHODS We constructed plasmids carrying wild-type VIPR1 promoter or two mutant VIPR1 promoter sequences for transfection of the HCC cell lines Hep3B and Huh7, and examined the effect of AP-2α expression on VIPR1 promoter activity using dual-luciferase reporter assay. Pyrosequencing was performed to detect the changes in VIPR1 promoter methylation level in HCC cells treated with a DNA methyltransferase inhibitor (DAC). Chromatin immunoprecipitation was used to evaluate the binding ability of AP-2α to VIPR1 promoter. Western blotting was used to assess the effect of AP-2α knockdown on VIPR1 expression and examine the differential expression of VIPR1 in the two cell lines. The effects of VIPR1 overexpression and knockdown on the proliferation, cell cycle and apoptosis of HCC cells were analyzed using CCK8 assay and flow cytometry. We also observed the growth of HCC xenograft with lentivirus-mediated over-expression of VIPR1 in nude mice. RESULTS Compared with the wild-type VIPR1 promoter group, co-transfection with the vector carrying two promoter mutations and the AP-2α-over-expressing plasmid obviously restored the luciferase activity in HCC cells (P < 0.05). DAC treatment of the cells significantly decreased the methylation level of VIPR1 promoter and inhibited the binding of AP-2α to VIPR1 promoter (P < 0.01). The HCC cells with AP-2α knockdown showed increased VIPR1 expression, which was lower in Huh7 cells than in Hep3B cells. VIPR1 overexpression in HCC cells caused significant cell cycle arrest in G2/M phase (P < 0.01), promoted cell apoptosis (P < 0.001), and inhibited cell proliferation (P < 0.001), while VIPR1 knockdown produced the opposite effects. In the tumor-bearing nude mice, VIPR1 overexpression in the HCC cells significantly suppressed the increase of tumor volume (P < 0.001) and weight (P < 0.05). CONCLUSION VIPR1 promoter methylation in HCC promotes the binding of AP-2α and inhibits VIPR1 expression, while VIPR1 overexpression causes cell cycle arrest, promotes cell apoptosis, and inhibits cell proliferation and tumor growth.
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Affiliation(s)
- S Ning
- School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, China
| | - C He
- Faculty of Basic Medical Sciences, Guilin Medical University, Guilin 541199, China
| | - Z Guo
- School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, China
| | - H Zhang
- School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, China
| | - Z Mo
- School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, China
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Guo Z, Wang J, Tian X, Fang Z, Gao Y, Ping Z, Liu L. Body mass index increases the recurrence risk of breast cancer: a dose-response meta-analysis from 21 prospective cohort studies. Public Health 2022; 210:26-33. [PMID: 35868141 DOI: 10.1016/j.puhe.2022.06.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 05/09/2022] [Accepted: 06/13/2022] [Indexed: 10/17/2022]
Abstract
OBJECTIVE The purpose of this study was to investigate the effect of body mass index (BMI) on the recurrence risk of breast cancer. STUDY DESIGN Dose-response meta-analysis. METHODS Cohort studies that included BMI and the recurrence of breast cancer were selected through various databases including PubMed, Web of Science, the China National Knowledge Infrastructure (CNKI), Chinese Scientific Journals (VIP), and Wanfang Data Knowledge Service Platform (WanFang) until November 30, 2021. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of literature. A two-stage random-effects meta-analysis was performed to assess the dose-response relationship between BMI and breast cancer recurrence risk. Heterogeneity between studies is assessed using I2. RESULTS The relative risk (RR) of BMI <25 kg/m2 vs BMI ≥25 kg/m2, BMI <30 kg/m2 vs BMI ≥30 kg/m2 were 1.09 (95% CI: 1.00-1.19) and 1.15 (95% CI: 1.04-1.27), suggesting that BMI had a significant effect on the recurrence risk of breast cancer, and there might be a dose-response relationship between them. A total of 21 studies were included in dose-response meta-analysis, which showed that there was a positive linear correlation between BMI and the risk of recurrence (RR = 1.02, 95% CI: 1.01-1.03). For every 1 kg/m2 increment of BMI, the risk of recurrence increased by approximately 2%. In subgroup analyses, positive linear dose-response relationships between BMI and recurrence risk were observed among Asian and study period >10 years groups. For every 1 kg/m2 increment of BMI, the risk of recurrence increased by 3.41% and 1.87%, respectively. CONCLUSIONS The recurrence risk of breast cancer increases with BMI, which is most obvious among Asian women.
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Affiliation(s)
- Z Guo
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
| | - J Wang
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
| | - X Tian
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
| | - Z Fang
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
| | - Y Gao
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
| | - Z Ping
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
| | - L Liu
- School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
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Guo Z, Zhou J, Guo H, Liu LK. Radiotherapy-induced abscopal effect on the metastatic carcinoma of unknown primary origin: a case report and literature review. Eur Rev Med Pharmacol Sci 2022; 26:4634-4637. [PMID: 35856353 DOI: 10.26355/eurrev_202207_29185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE Abscopal effect of radiotherapy refers to a clinical phenomenon that is characterized by the eradication of distant metastatic tumors following localized irradiation. Reports on the abscopal effect following pure radiotherapy have been relatively rare. CASE REPORT Herein, we reported a 70-year-old male patient, who has been subjected to swelling and pain in the left neck. Computed tomography examination presented a metastatic lymph node of the left cervical and an intra-abdominal mass which was located in hepatogastric space, upward of the pancreatic head. Histopathology of the left cervical lymph node further ensured a poorly-moderately differentiated form of squamous cell carcinoma. But the primary origin was not defined. This patient received radiotherapy on the metastatic lymph nodes of the left cervical (dose: 60 Gray in 30 fractions) only. After treatment, the pain in the left neck dramatically improved and the swelling of the radiation exposure site diminished gradually. Computed tomography examination also confirmed that the abdominal mass was significantly reduced. CONCLUSIONS The abscopal effect, in this case, may help us to get a better understanding of the impact of radiotherapy.
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Affiliation(s)
- Z Guo
- Department of Oncology, Shanxi Province Academy of Traditional Chinese Medicine, Shanxi Province Hospital of Traditional Chinese Medicine, Taiyuan, Shanxi, China.
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Zhang X, Li Y, Xu M, Guo Z, Yu J, Song X, He K, Zhang Z, Chi Y. First Report of Lasiodiplodia pseudotheobromae Causing Collar Rot of Peanut in Shandong Province, China. Plant Dis 2022; 106:PDIS10212309PDN. [PMID: 34931902 DOI: 10.1094/pdis-10-21-2309-pdn] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- Xia Zhang
- Shandong Peanut Research Institute, Qingdao, Shandong, China
| | - Ying Li
- Shandong Peanut Research Institute, Qingdao, Shandong, China
| | - Manlin Xu
- Shandong Peanut Research Institute, Qingdao, Shandong, China
| | - Zhiqing Guo
- Shandong Peanut Research Institute, Qingdao, Shandong, China
| | - Jing Yu
- Shandong Peanut Research Institute, Qingdao, Shandong, China
| | - Xinying Song
- Shandong Peanut Research Institute, Qingdao, Shandong, China
| | - Kang He
- Shandong Peanut Research Institute, Qingdao, Shandong, China
| | - Zhiliang Zhang
- Chongqing Academy of Agricultural Sciences, Chongqing, China
| | - Yucheng Chi
- Shandong Peanut Research Institute, Qingdao, Shandong, China
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Zhao HF, Zhang Y, Dang LX, Liang JL, Chen SX, Guo Z, Li YL, Zu RR, Gui XD, Wei YP, Song Y. [Analysis the influence factors of treatment free remission outcome with chronic myeloid leukemia patients who discontinued tyrosine kinase inhibitors]. Zhonghua Yi Xue Za Zhi 2022; 102:1523-1529. [PMID: 35692068 DOI: 10.3760/cma.j.cn112137-20220112-00074] [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: 06/15/2023]
Abstract
Objective: To explore the related factors affecting the outcome of treatment free remission (TFR) in patients with chronic myeloid leukemia (CML). Methods: Clinical data of CML patients with automatic discontinuation of tyrosine kinase inhibitor (TKI) from the CML cooperative organization of Henan province between June 2, 2013 to March 27, 2021 and the follow-up time was ≥ 6 months were retrospectively analyzed. Log-rank test was used for univariate analysis and Cox proportional risk regression model was used for multivariate analysis. Results: A total of 135 patients were enrolled, and 69 patients (51.1%) were femal and 66 patients (48.9%)were male. Median age was[M(Q1,Q3)] 49 years (38, 58)at discontinuation.Before discontinuation, 72 patients (53.3%) were on treatment with second-generation TKI, 63 patients (46.7%) were on treatment with IM, 17patients (12.6%) had a history of TKI reduction/withdrawal;median duration of treatment was months 84 (68, 108) for all patients;median time of TKI treatment to DMR was months 12(8, 26);median duration of DMR was months 65 (54, 84), and 9 patients (6.7%) had unsustained DMR.The median follow-up time was months 16(6-96), 35 patients (25.9%) lost MMR at a median months 3(1-22), overall estimated TFR was 74.1%.The univariate analysis results showed that:second-generation TKI was used, the time of TKI treatment to DMR was ≤12 months, DMR duration time ≥48 months, had sustained DMR, without TKI reduction/withdrawal history were favorable factors affecting of TFR in patients with TKI discontinuation (all P<0.05).The TFR rate of the second-generation TKI therapy group was significantly higher than the IM therapy group (81.9% vs 65.1%, P=0.019).The multivariate analysis results showed that second-generation TKI treatment[RR=0.451, 95%CI (0.227-0.896), P=0.023] and had sustained DMR [RR=0.120, 95%CI (0.053-0.271), P<0.001] were the protective factors of TFR in patients with TKI discontinuation. Conclusions: Treated with second-generation TKI and had sustained DMR are the protective factors of TFR in patients with TKI discontinuation.The CML patients who had sustained DMR more≥48 months before TKI discontinuation showed a better TFR.
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Affiliation(s)
- H F Zhao
- Department of Hematology, Henan Cancer Hospital, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Yanli Zhang
- Department of Hematology, Henan Cancer Hospital, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - L X Dang
- Department of Hematology, the first Affiliated Hospital of Nanyang Medical College, Nanyang 473000, China
| | - J L Liang
- Department of Hematology, Sanmenxia Central Hospital, Sanmenxia 472000, China
| | - S X Chen
- Department of Hematology, Pingdingshan Second People's Hospital, Pingdingshan 467000, China
| | - Z Guo
- Department of Hematology, Zhengzhou People's Hospital, Zhengzhou 450000, China
| | - Y L Li
- Department of Hematology, Henan Cancer Hospital, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - R R Zu
- Department of Hematology, Henan Cancer Hospital, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - X D Gui
- Department of Hematology, Henan Cancer Hospital, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y P Wei
- Department of Hematology, Henan Cancer Hospital, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Yongping Song
- Department of Hematology, Henan Cancer Hospital, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
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Abstract
Feature selection (FS) can eliminate many redundant, irrelevant, and noisy features in high-dimensional data to improve machine learning or data mining models’ prediction, classification, and computational performance. We proposed an improved whale optimization algorithm (IWOA) and improved k-nearest neighbors (IKNN) classifier approaches for feature selection (IWOAIKFS). Firstly, WOA is improved by using chaotic elite reverse individual, probability selection of skew distribution, nonlinear adjustment of control parameters and position correction strategy to enhance the search performance of the algorithm for feature subsets. Secondly, the sample similarity measurement criterion and weighted voting criterion based on the simulated annealing algorithm to solve the weight matrix M are proposed to improve the KNN classifier and improve the evaluation performance of the algorithm on feature subsets. The experimental results show: IWOA not only has better optimization performance when solving benchmark functions of different dimensions, but also when used with IKNN for feature selection, IWOAIKFS has better classification and robustness.
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Affiliation(s)
- Wei Liu
- College of Science, Liaoning Technical University, Fuxin, Liaoning, China
| | - Zhiqing Guo
- College of Science, Liaoning Technical University, Fuxin, Liaoning, China
- * E-mail:
| | - Feng Jiang
- College of Science, Liaoning Technical University, Fuxin, Liaoning, China
| | - Guangwei Liu
- College of Mines, Liaoning Technical University, Fuxin, Liaoning, China
| | - Dong Wang
- College of Mines, Liaoning Technical University, Fuxin, Liaoning, China
| | - Zishun Ni
- College of Science, Liaoning Technical University, Fuxin, Liaoning, China
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Cescon D, Schmid P, Rugo H, Im SA, Md Yusof M, Gallardo C, Lipatov O, Barrios C, Perez Garcia J, Iwata H, Masuda N, Torregroza Otero M, Gokmen E, Loi S, Haiderali A, Zhou X, Guo Z, Martin Nguyen A, Cortés J. 164O Health-related quality of life (HRQoL) with pembrolizumab (pembro) + chemotherapy (chemo) vs placebo (pbo) + chemo as 1L treatment for advanced triple-negative breast cancer (TNBC): Results from KEYNOTE-355. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.03.183] [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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Liu Y, Ma Q, Liu H, Guo Z. Public attitudes and influencing factors toward COVID-19 vaccination for adolescents/children: a scoping review. Public Health 2022; 205:169-181. [PMID: 35303534 PMCID: PMC8825307 DOI: 10.1016/j.puhe.2022.02.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 01/30/2022] [Accepted: 02/01/2022] [Indexed: 11/19/2022]
Abstract
OBJECTIVE This study aimed to systematically clarify attitudes and influencing factors of the public toward COVID-19 vaccination for children or adolescents. STUDY DESIGN This was a scoping review. METHODS This scoping review screened, included, sorted, and analyzed relevant studies on COVID-19 vaccination for children or adolescents before December 31, 2021, in databases, including PubMed, Elsevier, Web of Science, Cochrane Library, and Wiley. RESULTS A total of 34 studies were included. The results showed that the public's acceptance rate toward COVID-19 vaccination for children or adolescents ranged from 4.9% (southeast Nigerian mothers) to 91% (Brazilian parents). Parents' or adolescents' age, gender, education level, and cognition and behavior characteristics for the vaccines were the central factors affecting vaccination. The vaccine's safety, effectiveness, and potential side-effects were the main reasons affecting vaccination. CONCLUSIONS Realizing current public attitudes of COVID-19 vaccination for adolescents or children can effectively develop intervention measures and control the pandemic as soon as possible through herd immunity.
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Affiliation(s)
- Y Liu
- School of Nursing, University of South China, Hengyang, China
| | - Q Ma
- School of Nursing, University of South China, Hengyang, China
| | - H Liu
- School of Nursing, University of South China, Hengyang, China
| | - Z Guo
- School of Nursing, University of South China, Hengyang, China; Institute of Pharmacy and Pharmacology, University of South China, Hengyang, China.
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Zhang X, Xian W, Qu M, Xu M, Guo Z, Yu J, He K, Yang M, Chi Y. First Report of Sclerotinia Blight on Peanut Caused by Sclerotinia sclerotiorum in Qinghai Province, China. Plant Dis 2022; 106:1301. [PMID: 34579552 DOI: 10.1094/pdis-07-21-1503-pdn] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Affiliation(s)
- Xia Zhang
- Shandong Peanut Research Institute, Qingdao, Shandong, China
| | - Wenrong Xian
- Qinghai Academy of Agriculture and Forestry, Xining, Qinghai, China
| | - Mingjing Qu
- Shandong Peanut Research Institute, Qingdao, Shandong, China
| | - Manlin Xu
- Shandong Peanut Research Institute, Qingdao, Shandong, China
| | - Zhiqing Guo
- Shandong Peanut Research Institute, Qingdao, Shandong, China
| | - Jing Yu
- Shandong Peanut Research Institute, Qingdao, Shandong, China
| | - Kang He
- Shandong Peanut Research Institute, Qingdao, Shandong, China
| | - Ming Yang
- Institute of Characteristics Crops, Chongqing Academy of Agricultural Sciences, Chongqing, China
| | - Yucheng Chi
- Shandong Peanut Research Institute, Qingdao, Shandong, China
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Guo Z, Li X, Wang T, Yang X, Wang C, Fan L. Clinical Assessment of Endovenous Thermal Ablation Combined With Concomitant Phlebectomy for the Treatment of Lower Limb Varicose Veins With or Without Poor Glycemic Control. J Vasc Surg Venous Lymphat Disord 2022. [DOI: 10.1016/j.jvsv.2021.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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An FP, Andriamirado M, Balantekin AB, Band HR, Bass CD, Bergeron DE, Berish D, Bishai M, Blyth S, Bowden NS, Bryan CD, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen SM, Chen Y, Chen YX, Cheng J, Cheng ZK, Cherwinka JJ, Chu MC, Classen T, Conant AJ, Cummings JP, Dalager O, Deichert G, Delgado A, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolinski MJ, Dolzhikov D, Dove J, Dvořák M, Dwyer DA, Erickson A, Foust BT, Gaison JK, Galindo-Uribarri A, Gallo JP, Gilbert CE, Gonchar M, Gong GH, Gong H, Grassi M, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Hans S, Hansell AB, He M, Heeger KM, Heffron B, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Koblanski J, Jaffe DE, Jayakumar S, Jen KL, Ji XL, Ji XP, Johnson RA, Jones DC, Kang L, Kettell SH, Kohn S, Kramer M, Kyzylova O, Lane CE, Langford TJ, LaRosa J, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Lu X, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Maricic J, Marshall C, McDonald KT, McKeown RD, Mendenhall MP, Meng Y, Meyer AM, Milincic R, Mueller PE, Mumm HP, Napolitano J, Naumov D, Naumova E, Neilson R, Nguyen TMT, Nikkel JA, Nour S, Ochoa-Ricoux JP, Olshevskiy A, Palomino JL, Pan HR, Park J, Patton S, Peng JC, Pun CSJ, Pushin DA, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Searles M, Steiner H, Sun JL, Surukuchi PT, Tmej T, Treskov K, Tse WH, Tull CE, Tyra MA, Varner RL, Venegas-Vargas D, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Weatherly PB, Wei HY, Wei LH, Wen LJ, Whisnant K, White C, Wilhelmi J, Wong HLH, Woolverton A, Worcester E, Wu DR, Wu FL, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JW, Zhang QM, Zhang SQ, Zhang X, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Joint Determination of Reactor Antineutrino Spectra from ^{235}U and ^{239}Pu Fission by Daya Bay and PROSPECT. Phys Rev Lett 2022; 128:081801. [PMID: 35275656 DOI: 10.1103/physrevlett.128.081801] [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: 06/24/2021] [Revised: 08/17/2021] [Accepted: 10/26/2021] [Indexed: 06/14/2023]
Abstract
A joint determination of the reactor antineutrino spectra resulting from the fission of ^{235}U and ^{239}Pu has been carried out by the Daya Bay and PROSPECT Collaborations. This Letter reports the level of consistency of ^{235}U spectrum measurements from the two experiments and presents new results from a joint analysis of both data sets. The measurements are found to be consistent. The combined analysis reduces the degeneracy between the dominant ^{235}U and ^{239}Pu isotopes and improves the uncertainty of the ^{235}U spectral shape to about 3%. The ^{235}U and ^{239}Pu antineutrino energy spectra are unfolded from the jointly deconvolved reactor spectra using the Wiener-SVD unfolding method, providing a data-based reference for other reactor antineutrino experiments and other applications. This is the first measurement of the ^{235}U and ^{239}Pu spectra based on the combination of experiments at low- and highly enriched uranium reactors.
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Affiliation(s)
- F P An
- Institute of Modern Physics, East China University of Science and Technology, Shanghai
| | - M Andriamirado
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - A B Balantekin
- Department of Physics, University of Wisconsin, Madison, Madison, Wisconsin
| | - H R Band
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - C D Bass
- Department of Physics, Le Moyne College, Syracuse, New York
| | - D E Bergeron
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - D Berish
- Department of Physics, Temple University, Philadelphia, Pennsylvania
| | - M Bishai
- Brookhaven National Laboratory, Upton, New York
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - N S Bowden
- Nuclear and Chemical Sciences Division, Lawrence Livermore National Laboratory, Livermore, California
| | - C D Bryan
- High Flux Isotope Reactor, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Shenzhen University, Shenzhen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- Institute of High Energy Physics, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J J Cherwinka
- Department of Physics, University of Wisconsin, Madison, Madison, Wisconsin
| | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | - T Classen
- Nuclear and Chemical Sciences Division, Lawrence Livermore National Laboratory, Livermore, California
| | - A J Conant
- High Flux Isotope Reactor, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - G Deichert
- High Flux Isotope Reactor, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - A Delgado
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - M J Dolinski
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - M Dvořák
- Institute of High Energy Physics, Beijing
| | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Erickson
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia
| | - B T Foust
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - J K Gaison
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - A Galindo-Uribarri
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - C E Gilbert
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - M Grassi
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - S Hans
- Brookhaven National Laboratory, Upton, New York
| | - A B Hansell
- Department of Physics, Temple University, Philadelphia, Pennsylvania
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - B Heffron
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No.100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - J Koblanski
- Department of Physics & Astronomy, University of Hawaii, Honolulu, Hawaii
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York
| | - S Jayakumar
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D C Jones
- Department of Physics, Temple University, Philadelphia, Pennsylvania
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - O Kyzylova
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - C E Lane
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - T J Langford
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - J LaRosa
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | | | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - X Lu
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - J Maricic
- Department of Physics & Astronomy, University of Hawaii, Honolulu, Hawaii
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - M P Mendenhall
- Nuclear and Chemical Sciences Division, Lawrence Livermore National Laboratory, Livermore, California
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - A M Meyer
- Department of Physics & Astronomy, University of Hawaii, Honolulu, Hawaii
| | - R Milincic
- Department of Physics & Astronomy, University of Hawaii, Honolulu, Hawaii
| | - P E Mueller
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - H P Mumm
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - J Napolitano
- Department of Physics, Temple University, Philadelphia, Pennsylvania
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - R Neilson
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J A Nikkel
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - S Nour
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J L Palomino
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - D A Pushin
- Institute for Quantum Computing and Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York
| | - B Roskovec
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - M Searles
- High Flux Isotope Reactor, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - P T Surukuchi
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M A Tyra
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - R L Varner
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - D Venegas-Vargas
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - B Viren
- Brookhaven National Laboratory, Upton, New York
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - W Wang
- Nanjing University, Nanjing
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - P B Weatherly
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - J Wilhelmi
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - A Woolverton
- Institute for Quantum Computing and Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - F L Wu
- Nanjing University, Nanjing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X Zhang
- Nuclear and Chemical Sciences Division, Lawrence Livermore National Laboratory, Livermore, California
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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Han J, Guo Z, Wang Z, Zhou Z, Liu Y, Liu J. Comparison of the complications of mandibular reconstruction using fibula versus iliac crest flaps: an updated systematic review and meta-analysis. Int J Oral Maxillofac Surg 2022; 51:1149-1156. [DOI: 10.1016/j.ijom.2022.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 01/02/2022] [Accepted: 01/06/2022] [Indexed: 11/24/2022]
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Li M, Wang HS, Wang CL, Zhang L, Yang XL, Xu Y, Gao W, Guo Z, Yu HP. [Risk factors of pancreatitis after percutaneous transhepatic biliary drainage in patients with pancreatic cancer and obstructive jaundice]. Zhonghua Nei Ke Za Zhi 2022; 61:82-85. [PMID: 34979775 DOI: 10.3760/cma.j.cn112138-20210204-00101] [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: 06/14/2023]
Abstract
Objective: To explore the risk factors and preventive strategies of pancreatitis after percutaneous transhepatic biliary drainage (PTBD) in patients with pancreatic cancer and obstructive jaundice. Methods: A total of 241 patients were retrospectively analyzed from May 2001 to October 2014 in Tianjin Medical University Cancer Institute and Hospital. The possibly correlated 9 factors were analyzed, including gender, age, hemoglobin level, total bilirubin level, degree of pancreatic duct dilatation, degree of pancreatic atrophy, degree of biliary stenosis, the pancreatic duct visualization, and drainage mode. Results: Univariate analysis suggested that pancreatic duct dilatation, pancreatic atrophy, visualized pancreatic duct and drainage mode were associated with the incidence of pancreatitis after PTBD (P<0.05). Logistic regression analysis showed that visualization of pancreatic duct (OR=6.33) was a risk factor for pancreatitis, while pancreatic duct dilatation (OR=0.14), pancreatic atrophy (OR=0.12) and external drainage (OR=0.11) were protective factors for pancreatitis. Conclusion: In pateints with pancreatic cancer and obstructive jaundice, pancreatic duct dilatation and pancreatic atrophy predict low risk of pancreatitis after PTBD,while intraoperative pancreatic duct visualization and internal or external drainage may increase the incidence of postoperative pancreatitis.
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Affiliation(s)
- M Li
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Reserch Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300000, China The Affiliated Hospital of Hebei University, Experimental Center of Hebei University Hospital, Baoding 071000, China
| | - H S Wang
- The Affiliated Hospital of Hebei University, Experimental Center of Hebei University Hospital, Baoding 071000, China
| | - C L Wang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Reserch Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300000, China
| | - L Zhang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Reserch Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300000, China
| | - X L Yang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Reserch Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300000, China
| | - Y Xu
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Reserch Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300000, China
| | - W Gao
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Reserch Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300000, China
| | - Z Guo
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Reserch Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300000, China
| | - H P Yu
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Reserch Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300000, China
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Kang S, Guo Z, Zhao F, Song L, Lu L, Wang C, Liu Z, Zhao J. Lanzhou Lily polysaccharide fragment protects human umbilical vein endothelial cells from radiation-induced DNA double-strand breaks. Hum Exp Toxicol 2022; 41:9603271221140110. [DOI: 10.1177/09603271221140110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Radiotherapy is widely used in the treatment of tumors. However, while killing tumor cells, radiation may also cause damage to the surrounding normal tissues. Therefore, it is very important to find safe and effective radiation protection agents. Purpose To investgate the radiation protection effect of Lanzhou Lily polysaccharide fragments (LLP). Methods: The crude polysaccharides of Lanzhou Lily were extracted from the dried bulb powder of Lilium lilium by ultrasonic-assisted hot water method, and then five different fragments were separated from the polysaccharides by DEAE-52-cellulose column. The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide assay, neutral comet and immunofluorescent staining were used to investigate the effect of LPe fragment on Human Umbilical Vein Endothelial Cells (HUVEC) survival and the possible radioprotective mechanism. Results The LPe fragment (composing of mannose and glucose, with a ratio of 5.5:2.9, and the average molecular weight is 8629.8 Da), significantly promoted the proliferation of HUVECs and protected cells from X-ray-induced double-strand breaks (DSBs) in DNA, in which pretreatment with the LPe fragment at 100 μg/mL showed the most pronounced protection. In addition, the occurrence of X-ray-induced γH2AX foci was significantly reduced by treatment with the LPe fragment at 50, 100, and 200 μg/mL. Furthermore, caffeine or wortmannin in combination with the LPe fragment at 25 μg/mL significantly reduced the number of X-ray-induced γH2AX foci, indicating phosphoinositide-3 kinases (PI3K) is involved in H2AX phosphorylation in HUVECs. Conclusion These results indicate the LPe fragment has a protective effect against radiation-induced DSBs and may be used as a natural antioxidant agent.
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Affiliation(s)
- S Kang
- School of Chemical Engineering, Northwest Minzu University, Lanzhou, China
- Key Laboratory for Utility of Environment-Friendly Composite Materials and Biomass in Universities of Gansu Province, Lanzhou, China
| | - Z Guo
- Medical College of Northwest Minzu University, Lanzhou, China
- Key Laboratory of Environmental Ecology and Population Health in Northwest Minority Areas, Medical College of Northwest Minzu University, Lanzhou, China
| | - F Zhao
- Medical College of Northwest Minzu University, Lanzhou, China
| | - L Song
- Key Laboratory of Environmental Ecology and Population Health in Northwest Minority Areas, Medical College of Northwest Minzu University, Lanzhou, China
| | - L Lu
- School of Chemical Engineering, Northwest Minzu University, Lanzhou, China
- Key Laboratory for Utility of Environment-Friendly Composite Materials and Biomass in Universities of Gansu Province, Lanzhou, China
| | - C Wang
- Medical College of Northwest Minzu University, Lanzhou, China
| | - Z Liu
- School of Chemical Engineering, Northwest Minzu University, Lanzhou, China
- Key Laboratory for Utility of Environment-Friendly Composite Materials and Biomass in Universities of Gansu Province, Lanzhou, China
| | - J Zhao
- Medical College of Northwest Minzu University, Lanzhou, China
- Key Laboratory of Environmental Ecology and Population Health in Northwest Minority Areas, Medical College of Northwest Minzu University, Lanzhou, China
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Zhao Q, Li H, Guo Z, Gao M. Analysis of microbial diversity in the root of Astragalus mongholicus. BRAZ J BIOL 2022; 82:e261331. [DOI: 10.1590/1519-6984.261331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 07/19/2022] [Indexed: 11/21/2022] Open
Abstract
Abstract The dry root of Astragalus mongholicus has therapeutic effects such as tonifing the middle - jiao, replenishing qi, solidifing the surface, promoting diuresis, dispelling sepsis outwards and nourishing muscle. There are some slices having black spots after slicing the root of astragalus. The diversity of endophytic fungi between slices with black spots and normal slices was analysed in this paper. The endophytic fungal sequences obtained by high-throughput sequencing were 298,044 and 297,396, and the 116 OTU subsets obtained after clustering belonged to 3 phyla, 9 classes, 22 orders, 38 families and 46 genera. The dominant classes were Eurotiomycetes and Leotiomycetes. The dominant order is Eurotiales and Helotiales. The dominant families are Helotiales_fam_Incertae_sedis and Aspergillaceae. The dominant genera are Cadophora and Aspergillus. There are some peculiar fungal flora in both normal slices and spotted slices. The study on endophytic fungi diversity of astragalus slices will provide some help for drug development of this plant.
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Affiliation(s)
- Q. Zhao
- Xianyang Normal University, China
| | - H. Li
- Xianyang Normal University, China
| | - Z. Guo
- Xianyang Normal University, China
| | - M. Gao
- Xianyang Normal University, China
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Yu X, Hou J, Qian K, Xu C, Chen Y, Guo Z, Wu X, Xiao G. Bilobalide Protects Pheochromocytoma Cell from Oxygen-Glucose Deprivation/Reperfusion Induced Injury via Activating Wnt1/Beta Catenin Pathway. Indian J Pharm Sci 2022. [DOI: 10.36468/pharmaceutical-sciences.1029] [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: 11/18/2022] Open
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Gu L, Xie X, Guo Z, Shen W, Qian P, Jiang N, Fan Y. Dynamic contrast-enhanced magnetic resonance imaging: A novel approach to assessing treatment in locally advanced esophageal cancer patients. Niger J Clin Pract 2021; 24:1800-1807. [PMID: 34889788 DOI: 10.4103/njcp.njcp_78_21] [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: 11/04/2022]
Abstract
Aims This study aims to investigate the potential application of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to predict concurrent chemoradiation (CRT) in locally advanced esophageal carcinoma. Patients and Methods This study involved 33 patients with locally advanced esophageal cancer and treated with CRT. The patients underwent DCE-MRI before CRT (pre) and 3 weeks after starting CRT (mid). The patients were categorized into two groups: complete response (CR) and non-complete response (non-CR) after 3 months of treatment. The quantitative parameters of DCE-MRI (Ktrans, Kep, and Ve), the changes and ratios of parameters (ΔKtrans, ΔKep, ΔVe, rΔKtrans, rΔKep, and rΔVe), and the relative ratio in the tumor area and a normal tube wall (rKtrans, rKep, and rVe) were calculated and compared between two timeframes in two groups, respectively. Moreover, the receiver operating characteristics (ROC) statistical analysis was used to assess the above parameters. Results We divided 33 patients into two groups: 22 in the CR group and 11 in the non-CR group. During the mid-CRT phase in the CR group, both Ktrans and Kep rapidly decreased, while only Kep decreased in the non-CR group. The pre-Ktrans and pre-Kep in the CR group were substantially higher compared to the non-CR group. Moreover, the rKtrans was also apparently observed as higher at pre-CRT in the CR group compared to the non-CR group. The ROC analysis demonstrated that the pre-Ktrans could be the best parameter to evaluate the treatment performance (AUC = 0.74). Conclusion Pre-Ktrans could be a promising parameter to forecast how patients with locally advanced esophageal cancer will respond to CRT.
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Affiliation(s)
- L Gu
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - X Xie
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - Z Guo
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - W Shen
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - P Qian
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - N Jiang
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - Y Fan
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
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Wang R, Feist M, Guo Z, Felsenstein M, Reutzel-Selke A, Pratschke J, Sauer I. 130P IL-2-armed oncolytic vaccinia virus exerts potent antitumor effects in human pancreatic cancer. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.10.149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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