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Ling B, Chen L, Zhang J, Cao X, Ye W, Ouyang Y, Chi F, Ding Z. [Dosimetric analysis of different optimization algorithms for three-dimensional brachytherapy for gynecologic tumors]. Nan Fang Yi Ke Da Xue Xue Bao 2024; 44:773-779. [PMID: 38708512 DOI: 10.12122/j.issn.1673-4254.2024.04.20] [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] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
OBJECTIVE To investigate the dosimetric difference between manual and inverse optimization in 3-dimensional (3D) brachytherapy for gynecologic tumors. METHODS This retrospective study was conducted among a total of 110 patients with gynecologic tumors undergoing intracavitary combined with interstitial brachytherapy or interstitial brachytherapy. Based on the original images, the brachytherapy plans were optimized for each patient using Gro, IPSA1, IPSA2 (with increased volumetric dose limits on the basis of IPSA1) and HIPO algorithms. The dose-volume histogram (DVH) parameters of the clinical target volume (CTV) including V200, V150, V100, D90, D98 and CI, and the dosimetric parameters D2cc, D1cc, and D0.1cc for the bladder, rectum, and sigmoid colon were compared among the 4 plans. RESULTS Among the 4 plans, Gro optimization took the longest time, followed by HIPO, IPSA2 and IPSA1 optimization. The mean D90, D98, and V100 of HIPO plans were significantly higher than those of Gro and IPSA plans, and D90 and V100 of IPSA1, IPSA2 and HIPO plans were higher than those of Gro plans (P < 0.05), but the CI of the 4 plans were similar (P > 0.05). For the organs at risk (OARs), the HIPO plan had the lowest D2cc of the bladder and rectum; the bladder absorbed dose of Gro plans were significantly greater than those of IPSA1 and HIPO (P < 0.05). The D2cc and D1cc of the rectum in IPSA1, IPSA2 and HIPO plans were better than Gro (P < 0.05). The D2cc and D1cc of the sigmoid colon did not differ significantly among the 4 plans. CONCLUSION Among the 4 algorithms, the HIPO algorithm can better improve dose coverage of the target and lower the radiation dose of the OARs, and is thus recommended for the initial plan optimization. Clinically, the combination of manual optimization can achieve more individualized dose distribution of the plan.
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Affiliation(s)
- B Ling
- Department of Radiation Medicine, School of Public Health, Southern Medical University, Guangzhou 510515, China
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - L Chen
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - J Zhang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - X Cao
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - W Ye
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Y Ouyang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - F Chi
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Z Ding
- Department of Radiation Medicine, School of Public Health, Southern Medical University, Guangzhou 510515, China
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Zhang Y, Lo KL, Liman AN, Feng XP, Ye W. Tongue-Coating Microbial and Metabolic Characteristics in Halitosis. J Dent Res 2024:220345241230067. [PMID: 38623900 DOI: 10.1177/00220345241230067] [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: 04/17/2024] Open
Abstract
Halitosis is a common oral condition, which leads to social embarrassment and affects quality of life. Cumulative evidence has suggested the association of tongue-coating microbiome with the development of intraoral halitosis. The dynamic variations of tongue-coating microbiota and metabolites in halitosis have not been fully elucidated. Therefore, the present study aimed to determine the tongue-coating microbial and metabolic characteristics in halitosis subjects without other oral diseases using metagenomics and metabolomics analysis. The participants underwent oral examination, halitosis assessment, and tongue-coating sample collection for the microbiome and metabolome analysis. It was found that the microbiota richness and diversity were significantly elevated in the halitosis group. Furthermore, species from Actinomyces, Prevotella, Veillonella, and Solobacterium were significantly more abundant in the halitosis group. However, the Rothia and Streptococcus species exhibited opposite tendencies. Eleven Kyoto Encyclopedia of Genes and Genomes pathways were significantly enriched in the halitosis tongue coatings, including cysteine and methionine metabolism. Functional genes related to sulfur, indole, skatole, and cadaverine metabolic processes (such as serA, metH, metK and dsrAB) were identified to be more abundant in the halitosis samples. The metabolome analysis revealed that indole-3-acetic, ornithine, and L-tryptophan were significantly elevated in the halitosis samples. Furthermore, it was observed that the values of volatile sulfur compounds and indole-3-acetic abundances were positively correlated. The multiomics analysis identified the metagenomic and metabolomic characteristics to differentiate halitosis from healthy individuals using the least absolute shrinkage and selection operator logistic regression and random forest classifier. A total of 19 species and 39 metabolites were identified as features in halitosis patients, which included indole-3-acetic acid, Bacillus altitudinis, Candidatus Saccharibacteria, and Actinomyces species. In conclusion, an evident shift in microbiome and metabolome characteristics was observed in the halitosis tongue coating, which may have a potential etiological significance and provide novel insights into the mechanism for halitosis.
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Affiliation(s)
- Y Zhang
- Department of Preventive Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
- Shanghai Research Institute of Stomatology, Shanghai, China
| | - K L Lo
- Department of Preventive Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
- Shanghai Research Institute of Stomatology, Shanghai, China
| | - A N Liman
- Department of Preventive Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
- Shanghai Research Institute of Stomatology, Shanghai, China
| | - X P Feng
- Department of Preventive Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
- Shanghai Research Institute of Stomatology, Shanghai, China
| | - W Ye
- Department of Preventive Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
- Shanghai Research Institute of Stomatology, Shanghai, China
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Guo C, Ye W, Cao D, Shi M, Zhang W, Cheng Y, Wang Y, Xia XQ. Unraveling the stereoscopic gene transcriptional landscape of zebrafish using FishSED, a fish spatial expression database with multispecies scalability. Sci China Life Sci 2024; 67:843-846. [PMID: 37758906 DOI: 10.1007/s11427-023-2418-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 07/18/2023] [Indexed: 09/29/2023]
Affiliation(s)
- Cheng Guo
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Weidong Ye
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Danying Cao
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Mijuan Shi
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Wanting Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yingyin Cheng
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yaping Wang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xiao-Qin Xia
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China.
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
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Xu QY, Wen YB, Cui HY, Ye W, Ye WL, Yan XW, Hu YT, Chen G, Qin Y, Chen LM, Li XM. [A case of fibrillary glomerulonephritis with relatively slow progression]. Zhonghua Nei Ke Za Zhi 2024; 63:412-415. [PMID: 38561288 DOI: 10.3760/cma.j.cn112138-20231103-00294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Affiliation(s)
- Q Y Xu
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y B Wen
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H Y Cui
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - W Ye
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - W L Ye
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - X W Yan
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y T Hu
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - G Chen
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y Qin
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - L M Chen
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - X M Li
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
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Bai X, Bao Y, Bei S, Bu C, Cao R, Cao Y, Cen H, Chao J, Chen F, Chen H, Chen K, Chen M, Chen M, Chen M, Chen Q, Chen R, Chen S, Chen T, Chen X, Chen X, Cheng Y, Chu Y, Cui Q, Dong L, Du Z, Duan G, Fan S, Fan Z, Fang X, Fang Z, Feng Z, Fu S, Gao F, Gao G, Gao H, Gao W, Gao X, Gao X, Gao X, Gong J, Gong J, Gou Y, Gu S, Guo AY, Guo G, Guo X, Han C, Hao D, Hao L, He Q, He S, He S, Hu W, Huang K, Huang T, Huang X, Huang Y, Jia P, Jia Y, Jiang C, Jiang M, Jiang S, Jiang T, Jiang X, Jin E, Jin W, Kang H, Kang H, Kong D, Lan L, Lei W, Li CY, Li C, Li C, Li H, Li J, Li J, Li L, Li P, Li R, Li X, Li Y, Li Y, Li Z, Liao X, Lin S, Lin Y, Ling Y, Liu B, Liu CJ, Liu D, Liu GH, Liu L, Liu S, Liu W, Liu X, Liu X, Liu Y, Liu Y, Lu M, Lu T, Luo H, Luo H, Luo M, Luo S, Luo X, Ma L, Ma Y, Mai J, Meng J, Meng X, Meng Y, Meng Y, Miao W, Miao YR, Ni L, Nie Z, Niu G, Niu X, Niu Y, Pan R, Pan S, Peng D, Peng J, Qi J, Qi Y, Qian Q, Qin Y, Qu H, Ren J, Ren J, Sang Z, Shang K, Shen WK, Shen Y, Shi Y, Song S, Song T, Su T, Sun J, Sun Y, Sun Y, Sun Y, Tang B, Tang D, Tang Q, Tang Z, Tian D, Tian F, Tian W, Tian Z, Wang A, Wang G, Wang G, Wang J, Wang J, Wang P, Wang P, Wang W, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wei H, Wei Y, Wei Z, Wu D, Wu G, Wu S, Wu S, Wu W, Wu W, Wu Z, Xia Z, Xiao J, Xiao L, Xiao Y, Xie G, Xie GY, Xie J, Xie Y, Xiong J, Xiong Z, Xu D, Xu S, Xu T, Xu T, Xue Y, Xue Y, Yan C, Yang D, Yang F, Yang F, Yang H, Yang J, Yang K, Yang N, Yang QY, Yang S, Yang X, Yang X, Yang X, Yang YG, Ye W, Yu C, Yu F, Yu S, Yuan C, Yuan H, Zeng J, Zhai S, Zhang C, Zhang F, Zhang G, Zhang M, Zhang P, Zhang Q, Zhang R, Zhang S, Zhang W, Zhang W, Zhang W, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang YE, Zhang Y, Zhang Z, Zhang Z, Zhao D, Zhao F, Zhao G, Zhao M, Zhao W, Zhao W, Zhao X, Zhao Y, Zhao Y, Zhao Z, Zheng X, Zheng Y, Zhou C, Zhou H, Zhou X, Zhou X, Zhou Y, Zhou Y, Zhu J, Zhu L, Zhu R, Zhu T, Zong W, Zou D, Zuo Z. Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024. Nucleic Acids Res 2024; 52:D18-D32. [PMID: 38018256 PMCID: PMC10767964 DOI: 10.1093/nar/gkad1078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/12/2023] [Accepted: 10/27/2023] [Indexed: 11/30/2023] Open
Abstract
The National Genomics Data Center (NGDC), which is a part of the China National Center for Bioinformation (CNCB), provides a family of database resources to support the global academic and industrial communities. With the rapid accumulation of multi-omics data at an unprecedented pace, CNCB-NGDC continuously expands and updates core database resources through big data archiving, integrative analysis and value-added curation. Importantly, NGDC collaborates closely with major international databases and initiatives to ensure seamless data exchange and interoperability. Over the past year, significant efforts have been dedicated to integrating diverse omics data, synthesizing expanding knowledge, developing new resources, and upgrading major existing resources. Particularly, several database resources are newly developed for the biodiversity of protists (P10K), bacteria (NTM-DB, MPA) as well as plant (PPGR, SoyOmics, PlantPan) and disease/trait association (CROST, HervD Atlas, HALL, MACdb, BioKA, BioKA, RePoS, PGG.SV, NAFLDkb). All the resources and services are publicly accessible at https://ngdc.cncb.ac.cn.
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Li H, Wu S, Li J, Xiong Z, Yang K, Ye W, Ren J, Wang Q, Xiong M, Zheng Z, Zhang S, Han Z, Yang P, Jiang B, Ping J, Zuo Y, Lu X, Zhai Q, Yan H, Wang S, Ma S, Zhang B, Ye J, Qu J, Yang YG, Zhang F, Liu GH, Bao Y, Zhang W. HALL: a comprehensive database for human aging and longevity studies. Nucleic Acids Res 2024; 52:D909-D918. [PMID: 37870433 PMCID: PMC10767887 DOI: 10.1093/nar/gkad880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 09/15/2023] [Accepted: 10/06/2023] [Indexed: 10/24/2023] Open
Abstract
Diverse individuals age at different rates and display variable susceptibilities to tissue aging, functional decline and aging-related diseases. Centenarians, exemplifying extreme longevity, serve as models for healthy aging. The field of human aging and longevity research is rapidly advancing, garnering significant attention and accumulating substantial data in recent years. Omics technologies, encompassing phenomics, genomics, transcriptomics, proteomics, metabolomics and microbiomics, have provided multidimensional insights and revolutionized cohort-based investigations into human aging and longevity. Accumulated data, covering diverse cells, tissues and cohorts across the lifespan necessitates the establishment of an open and integrated database. Addressing this, we established the Human Aging and Longevity Landscape (HALL), a comprehensive multi-omics repository encompassing a diverse spectrum of human cohorts, spanning from young adults to centenarians. The core objective of HALL is to foster healthy aging by offering an extensive repository of information on biomarkers that gauge the trajectory of human aging. Moreover, the database facilitates the development of diagnostic tools for aging-related conditions and empowers targeted interventions to enhance longevity. HALL is publicly available at https://ngdc.cncb.ac.cn/hall/index.
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Affiliation(s)
- Hao Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Song Wu
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhuang Xiong
- Interdisciplinary Institute for Medical Engineering, Fuzhou University, Fuzhou 350002, China
| | - Kuan Yang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Weidong Ye
- Department of Vascular Surgery, Quzhou Affiliated Hospital of Wenzhou Medical University, Beijing 100101, China
- The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, 324000, China
| | - Jie Ren
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | - Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Muzhao Xiong
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zikai Zheng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuo Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zichu Han
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Peng Yang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Beier Jiang
- Department of Vascular Surgery, Quzhou Affiliated Hospital of Wenzhou Medical University, Beijing 100101, China
| | - Jiale Ping
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuesheng Zuo
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoyong Lu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qiaocheng Zhai
- Department of Vascular Surgery, Quzhou Affiliated Hospital of Wenzhou Medical University, Beijing 100101, China
| | - Haoteng Yan
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Si Wang
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
- Aging Biomarker Consortium, Beijing 100101, China
| | - Shuai Ma
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
- Aging Biomarker Consortium, Beijing 100101, China
| | - Bing Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Jinlin Ye
- Department of Vascular Surgery, Quzhou Affiliated Hospital of Wenzhou Medical University, Beijing 100101, China
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
- Aging Biomarker Consortium, Beijing 100101, China
| | - Yun-Gui Yang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Feng Zhang
- The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, 324000, China
| | - Guang-Hui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
- Aging Biomarker Consortium, Beijing 100101, China
| | - Yiming Bao
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
- Aging Biomarker Consortium, Beijing 100101, China
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Wang X, Gao Y, Li L, Yang Q, Zhang L, Ye W, Fang X, Li Z. Pingchuanning Decotion Alleviates Bronchial Asthma Airway Inflammation Through ROS/HMGB1/Beclin-1 Mediated Cell Autophagy. Altern Ther Health Med 2024; 30:270-277. [PMID: 37793329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
Objective Bronchial asthma is a prevalent respiratory disorder characterized by airway inflammation. This study aimed to investigate the protective effect of Pingchuanning decoction (PCN) on airway inflammation in bronchial asthma, focusing on the role of autophagy and its underlying molecular mechanism. Methods Using an in vitro lipopolysaccharide (LPS)-induced inflammatory damage model of human airway epithelial cells (16HBE), we assessed the effect of PCN. Various experiments were performed to evaluate the expression of autophagy-related genes, autophagosome and vesicle counts, and reactive oxygen species (ROS) levels. Results First, PCN reduced LPS-induced cellular inflammation. Second, PCN decreased the number of autophagosomes and autophagic vesicles. And third, PCN significantly reduced reactive oxygen species (ROS) levels. Most importantly, PCN also down-regulated LPS-induced expression of HMGB1, Beclin-1, and autophagy-related gene 5 (ATG5) while enhancing the expression of B-cell lymphoma 2 (Bcl-2), which further reduced the LC3II/I ratio. Conclusion PCN reduces the 16HBE inflammatory response by inhibiting the overexpression of ROS/HMGB1/Beclin-1 mediated cell autophagy. Therefore, it may serve as a potential drug for treating bronchial asthma.
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Chandler J, Georgieva M, Desai U, Done N, Gomez-Lievano A, Ye W, Zhao A, Eid D, Hilts A, Kirson N, Schilling T. Impact of Differential Rates of Disease Progression in Amyloid-Positive Early Alzheimer's Disease: Findings from a Longitudinal Cohort Analysis. J Prev Alzheimers Dis 2024; 11:320-328. [PMID: 38374738 DOI: 10.14283/jpad.2024.28] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
BACKGROUND There is limited literature regarding the impact of differential rates of disease progression on longitudinal outcomes in individuals with early Alzheimer's disease (AD) and confirmed brain amyloid pathology. OBJECTIVES To describe the underlying characteristics and long-term outcomes associated with different rates of disease progression among amyloid-positive individuals with early symptomatic AD. DESIGN Retrospective observational study. SETTING Data from the National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS) in the United States (06/2005-11/2021). PARTICIPANTS Individuals with a clinical assessment of mild cognitive impairment or dementia and Clinical Dementia Rating® Dementia Staging Instrument Sum of Boxes (CDR-SB) score 0.5-9.0 (inclusive; first visit defined as the index date) and confirmed amyloid positivity. Participants were stratified into No Progression (change ≤0), Slower Progression (0< change <2.0 points), Median Progression (2.0-point change), and Faster Progression (change >2.0 points) cohorts based on the observed distribution of changes in CDR-SB score between the index and first subsequent visit. MEASUREMENTS For each cohort, the functional and neuropsychiatric outcomes were described at index and each subsequent visit for up to five years, and least-square (LS) mean changes from baseline were estimated using linear mixed-effects models adjusting for baseline demographic and clinical characteristics. RESULTS Among 1,263 participants included in the analysis, the mean±standard deviation (SD) age at index was 72.7±9.7 years and 55.3% were males. Demographic characteristics and comorbidity profiles at index were similar across cohorts. However, at index, the Faster Progression (N=279) cohort had higher CDR-SB and Functional Assessment Questionnaire (FAQ) scores compared with the No Progression (N=474), Slower Progression (N=297), and Median Progression (N=213) cohorts. Adjusting for baseline characteristics, at year 5 after index the FAQ score increased by 23.6 points for Faster Progression cohort and 10.4, 15.8, and 19.2 points for the No, Slower, and Median Progression cohorts, respectively. The corresponding increases in Neuropsychiatric Inventory Questionnaire (NPI-Q) scores were 6.7 points for the Faster Progression cohort, and by 1.3, 3.1, and 8.3 points, for the No, Slower, and Median Progression cohorts, respectively. CONCLUSIONS Despite similar demographic and clinical profiles at baseline, amyloid-positive individuals with greater deterioration based on CDR-SB early in the AD trajectory continue to experience worse functional and behavioral outcomes over time than those with more gradual deterioration in this metric.
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Affiliation(s)
- J Chandler
- Urvi Desai, PhD, Analysis Group, Inc., 111 Huntington Avenue, 14th Floor, Boston, MA 02199, USA, Phone: +1-617-425-8315,
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Chandler J, Done N, Desai U, Georgieva M, Gomez-Lievano A, Ye W, Zhao A, Eid D, Hilts A, Kirson N, Schilling T. Potential Implications of Slowing Disease Progression in Amyloid-Positive Early Alzheimer's Disease: Estimates from Real-World Data. J Prev Alzheimers Dis 2024; 11:310-319. [PMID: 38374737 DOI: 10.14283/jpad.2024.27] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
BACKGROUND Emerging therapies have shown promising results for slowing the progression of Alzheimer's disease (AD). However, the potential impact of these therapies on real-world outcomes remains to be explored. OBJECTIVE To examine the impact of slowing AD progression on functional abilities and behavioral symptoms. DESIGN Retrospective observational study. SETTING Data from the National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS) in the United States (06/2005-11/2021, primary analysis) and the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (09/2005-03/2022, sensitivity analysis) were used. PARTICIPANTS Individuals with mild cognitive impairment (MCI) or mild dementia, Clinical Dementia Rating Scale Sum of Boxes (CDR-SB) score 0.5-9.0 (inclusive; first visit defined as the index date), and confirmed amyloid positivity were identified in NACC. In ADNI, individuals with at least one clinical center visit with a clinical assessment of MCI or mild dementia and confirmed amyloid positivity were identified. MEASUREMENTS Hypothetical effects of slowing disease progression as assessed by CDR-SB on functional and behavioral outcomes including the Functional Activities Questionnaire (FAQ) score, Neuropsychiatric Inventory Questionnaire (NPI-Q) score, and the probability of complete dependence over five years were evaluated using multivariable regression among NACC participants, separately for the subgroups with MCI and mild dementia at baseline, respectively. For the ADNI sensitivity analysis, the hypothetical effects of slowing disease progression were evaluated for FAQ score using multivariable regression among the MCI participants only. RESULTS Compared with natural disease progression, slowing progression by 20% over five years for NACC participants with MCI and mild dementia, respectively, would result in 1.7-point (10.8%) and 1.6-point (12.9%) less deterioration based on FAQ; 0.5-point (20.3%) and 0.5-point (19.3%) less deterioration based on NPI-Q; 4.7 percentage-point (22.2%) and 10.1 percentage-point (21.6%) lower probability of complete dependence. Among ADNI participants, delaying disease progression by 20% or 30% over 4 years would avert deterioration based on FAQ of 1.1 points (20.4%) and 1.6 points (29.6%), respectively, compared to natural disease progression. CONCLUSIONS Slowing early AD progression could result in preservation of functional and behavioral attributes and functional autonomy for longer.
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Affiliation(s)
- J Chandler
- Urvi Desai, PhD, Analysis Group, Inc., 111 Huntington Avenue, 14th Floor, Boston, MA 02199, USA, Phone: +1-617-425-8315,
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Qu C, He R, Hou W, Ye W, Cao H, Zhang H, Zhang N, Cheng Q, Zhang Q, Luo P. Global burden of neoplasms attributable to specific occupational carcinogens over 30 years: a population-based study. Public Health 2023; 223:145-155. [PMID: 37657137 DOI: 10.1016/j.puhe.2023.07.032] [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: 04/10/2023] [Revised: 07/16/2023] [Accepted: 07/25/2023] [Indexed: 09/03/2023]
Abstract
OBJECTIVES The study aimed to analyze the global burden of occupational neoplasms from various epidemiological perspectives. STUDY DESIGN In this cross-sectional study, secondary analyses were conducted to assess the burden of neoplasms attributable to occupational carcinogens and their distribution characteristics using data from GBD 2019 and the World Bank database. METHODS Based on the GBD 2019 and the World Bank database, we analyzed the global burden of occupational neoplasms including the age-period-cohort model, decomposition analysis, health inequality analysis, and panel model. All analyses were conducted in R (version 4.0.3) and Joinpoint (version 4.9.1). RESULTS The absolute number of neoplasms burden attributable to occupational carcinogens has continued to rise over 30 years. In 2019, occupational neoplasms caused 333,867 [95% uncertainty interval (UI): 263,491 to 404,641] mortalities and 6,964,775 (95% UI: 5,467,884 to 8,580,431) disability-adjusted life years (DALYs) globally. Greenland, Monaco, the Netherlands, and Andorra suffered the highest burden. The burden was higher in countries with a higher sociodemographic index. The age effect was prominent in the elderly, and the 1925 birth cohort had the highest cohort effect. Population growth was the most significant driver of the mortalities (89%) and DALYs (111%) change. Moreover, the proportion of urban population was significantly positively associated with the disease burden, while GDP per capita was negatively correlated with the disease burden. CONCLUSIONS The burden of occupational neoplasms was unevenly distributed across locations and populations. The need for rational allocation of healthcare resources was urgent.
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Affiliation(s)
- C Qu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China; XiangYa School of Medicine, Central South University, Changsha, Hunan, China
| | - R He
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China; XiangYa School of Medicine, Central South University, Changsha, Hunan, China
| | - W Hou
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China; XiangYa School of Medicine, Central South University, Changsha, Hunan, China
| | - W Ye
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - H Cao
- Department of Psychiatry, Brain Hospital of Hunan Province (The Second People's Hospital of Hunan Province), Changsha, Hunan, China
| | - H Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China; Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - N Zhang
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Q Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
| | - Q Zhang
- Division of Gastroenterology and Hepatology, NHC Key Laboratory of Digestive Diseases, Shanghai Institute of Digestive Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - P Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
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Guo C, Ye W, Shi M, Duan Y, Zhang W, Cheng Y, Xia XQ. FishSCT: a zebrafish-centric database for exploration and visualization of fish single-cell transcriptome. Sci China Life Sci 2023; 66:2185-2188. [PMID: 36971993 DOI: 10.1007/s11427-022-2293-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 02/08/2023] [Indexed: 03/28/2023]
Affiliation(s)
- Cheng Guo
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Weidong Ye
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Mijuan Shi
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
| | - You Duan
- The Joint Laboratory for Lung Development and Related Diseases of West China Second University Hospital, Sichuan University and School of Life Sciences of Fudan University, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, China
- NHC Key Laboratory of Chronobiology (Sichuan University), Chengdu, 610000, China
| | - Wanting Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yingyin Cheng
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xiao-Qin Xia
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
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Ye W, Shi M, Chen S, Duan Y, Jiang Y, Cheng Y, Zhang W, Chen J, Wang Y, Xia XQ. Transcriptome analysis revealed the existence of family-specific regulation of growth traits in grass carp. Genomics 2023; 115:110706. [PMID: 37714387 DOI: 10.1016/j.ygeno.2023.110706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 07/31/2023] [Accepted: 09/12/2023] [Indexed: 09/17/2023]
Abstract
The grass carp (Ctenopharyngodon idella) is the world's most prolific freshwater fish. Little is known, however, about the functional genes and genetic regulatory networks that govern its growth traits. We created three grass carp families in this study by using two grass carp parents with fast-growing offspring and two grass carp parents with slow-growing offspring, namely the fast-growing × fast-growing family (FF), the slow-growing × slow-growing family (SS), and the fast-growing × slow-growing family (FS). Under the satiation and starvation feeding modes, the average body weight of these families' offspring exhibited a consistent ordering (FF > FS > SS). The transcriptomes of grass carp whole brain and hepatopancreas were then acquired for each family, and it was discovered that the number of differentially expressed genes (DEGs) in the different organs demonstrated family specificity. DEGs were mostly identified in the hepatopancreas of FF and the whole brain of SS, but they were more evenly distributed in FS. There were 14 DEGs that were found in all three families, including three that were negatively correlated in hepatopancreas (ahsg2, lect2) or in brain (drd5), and 11 that were positively connected in hepatopancreas (sycn, pabpc4, zgc:112294, cel, endou, ela2, prss3, zbtb41, ela3) or in brain (fabp7, endod1). The deletion of ahsg2 boosted the growth rate only in certain zebrafish, suggesting that the growth-promoting effects of ahsg2 varies among individuals. Furthermore, we examined the SNP in each family and conducted preliminary research on the probable genetic pathways of family-specific control of growth traits. The family specificity of the growth regulation mechanism of grass carp at the transcriptional level was revealed for the first time in this study, and it was discovered that growth differences among individuals in the FF family were primarily due to differences in nutrient metabolism, whereas growth differences among individuals in the SS family may be primarily due to differences in foraging ability caused by differences in brain development. This research adds to our understanding of the genetic regulatory mechanism of grass carp growth.
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Affiliation(s)
- Weidong Ye
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mijuan Shi
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China.
| | - Sijia Chen
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - You Duan
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanxin Jiang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yingyin Cheng
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Wanting Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Jiujiu Chen
- College of Life Science, Wuhan University, Wuhan 430072, China
| | - Yaping Wang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China; The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiao-Qin Xia
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China; The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China.
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Liu Z, Qiu X, Yang H, Wu X, Ye W. [Inhibitor of growth protein-2 silencing alleviates angiotensin Ⅱ-induced cardiac remodeling in mice by reducing p53 acetylation]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1127-1135. [PMID: 37488795 PMCID: PMC10366506 DOI: 10.12122/j.issn.1673-4254.2023.07.09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To investigate the effect of inhibitor of growth protein-2 (Ing2) silencing on angiotensin Ⅱ (AngⅡ)-induced cardiac remodeling in mice and explore the underlying mechanism. METHODS An adenoviral vector carrying Ing2 shRNA or empty adenoviral vector was injected into the tail vein of mice, followed 48 h later by infusion of 1000 ng · kg-1 · min-1 Ang Ⅱ or saline using a mini-osmotic pump for 42 consecutive days. Transthoracic echocardiography was used to assess cardiac geometry and function and the level of cardiac hypertrophy in the mice. Masson and WGA staining were used to detect myocardial fibrosis and cross-sectional area of cardiomyocytes, and myocardial cell apoptosis was detected with TUNEL assay. Western blotting was performed to detect myocardial expressions of cleaved caspase 3, ING2, collagen Ⅰ, Ac-p53(Lys382) and p-p53 (Ser15); Ing2 mRNA expression was detected using real-time PCR. Mitochondrial biogenesis, as measured by mitochondrial ROS content, ATP content, citrate synthase activity and calcium storage, was determined using commercial assay kits. RESULTS The expression levels of Ing2 mRNA and protein were significantly higher in the mice with chronic Ang Ⅱ infusion than in saline-infused mice. Chronic infusion of AngⅡ significantly increased the left ventricular end-systolic diameter (LVESD) and left ventricular end-diastolic diameter (LVEDD) and reduced left ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS) in the mice. Ing2 silencing obviously alleviated AngⅡ-induced cardiac function decline, as shown by decreased LVEDD and LVESD and increased LVEF and LVFS, improved myocardial mitochondrial damage and myocardial hypertrophy and fibrosis, and inhibited cardiomyocyte apoptosis. Chronic AngⅡ infusion significantly increased myocardial expression levels of Ac-p53(Lys382) and p-p53(Ser15) in the mice, and Ing2 silencing prior to AngⅡ infusion lessened AngⅡ- induced increase of Ac-p53(Lys382) without affecting p53 (ser15) expression. CONCLUSION Ing2 silencing can inhibit AngⅡ-induced cardiac remodeling and dysfunction in mice by reducing p53 acetylation.
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Affiliation(s)
- Z Liu
- Department of Cardiovascular Medicine, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - X Qiu
- Department of Endocrinology, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - H Yang
- Department of Cardiovascular Medicine, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - X Wu
- Department of Endocrinology, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - W Ye
- Guangzhou University of Chinese Medicine, Guangzhou 510006, China
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Guo C, Duan Y, Ye W, Zhang W, Cheng Y, Shi M, Xia XQ. FishGET: a fish gene expression and transcriptome database with improved accuracy and visualization. iScience 2023; 26:106539. [PMID: 37091248 PMCID: PMC10119798 DOI: 10.1016/j.isci.2023.106539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/29/2023] [Accepted: 03/24/2023] [Indexed: 04/03/2023] Open
Abstract
With the rapid expansion of transcriptome studies in many fishes, a great number of RNA-seq data have been published, allowing for a more systematic understanding of the general profiles and details of gene expression in fish. FishGET is dedicated to gathering and curating fish RNA-seq data to discover more new RNAs, including mRNA and lncRNA, thereby getting a more complete reference transcriptome and providing more comprehensive and accurate transcriptome annotations. We obtained a total of 1362 RNA-seq paired-end data of 8 fishes from 97 different studies, and then we performed transcript assembly, meta-assembly, weighted gene co-expression network analysis (WGCNA), functional annotations, neighbor location annotation, lncRNA type annotation, homology annotation. To promote research into fish genes at the transcriptional level, we developed a user-friendly web interface that allows users to view all information and makes use of multiple types of dynamic interactive visualization services.
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Affiliation(s)
- Cheng Guo
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - You Duan
- The Joint Laboratory for Lung Development and Related Diseases of West China Second University Hospital, Sichuan University and School of Life Sciences of Fudan University, West China Institute of Women and Children’s Health, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu 610041, China
- NHC Key Laboratory of Chronobiology (Sichuan University), Chengdu, China
| | - Weidong Ye
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Wanting Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Yingyin Cheng
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Mijuan Shi
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
- Corresponding author
| | - Xiao-Qin Xia
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
- Corresponding author
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Hao S, Yuan Y, Ye W, Fang X. Association Between Neutrophil-Lymphocyte Ratio and All-Cause Mortality in Critically Ill Patients with Chronic Obstructive Pulmonary Disease: A Retrospective Cohort Study. Med Sci Monit 2023; 29:e938554. [PMID: 36785492 PMCID: PMC9938631 DOI: 10.12659/msm.938554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Neutrophil-lymphocyte ratio (NLR) is related to increased mortality risk in many diseases. However, there is limited research on critically ill patients with chronic obstructive pulmonary disease (COPD). A retrospective cohort study was performed to investigate whether NLR can be used as a biomarker to predict the mortality of critically ill COPD patients. MATERIAL AND METHODS In the research, the data were gathered from the database of the Medical Information Mart for Intensive Care-IV. The 28-day mortality was defined as the primary outcome, while the secondary outcomes were in-hospital and 90-day mortality. Through the application of the Kaplan-Meier curves and the multivariate Cox regression analysis, the potential association between NLR and mortality for critically ill patients with COPD was evaluated. For subgroup analysis, age, sex, ethnicity, mean blood pressure, and comorbidities were considered. RESULTS We extracted data on 2650 patients, of which 53.7% were male. A higher level of NLR was correlated with higher 28-day mortality risk. Compared to the lower quartile (NLR<4.56), HR (95% CI) of the upper quartile (NLR>16.86) was 1.75 (1.21-2.52) in the multivariate Cox regression model when adjusted for confounders (P=0.003). A similar tendency was found in the 90-day mortality (HR=1.59, 95% CI=1.16-2.19, P=0.004) and the in-hospital mortality (HR=1.71, 95% CI=1.22-2.42, P=0.002). Subgroup analyses showed that the correlation between NLR and 28-day mortality was stable. CONCLUSIONS The higher level of NLR is likely to be correlated with the increase of the all-cause mortality risk in critically ill patients with COPD, but this needs to be validated in future prospective research.
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Affiliation(s)
- Shujie Hao
- College of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, PR China
| | - Yamei Yuan
- College of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, PR China
| | - Weidong Ye
- College of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei, Anhui, PR China
| | - Xiangming Fang
- College of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei, Anhui, PR China
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Chen S, Ye W, Clements KD, Zan Z, Zhao W, Zou H, Wang G, Wu S. Bacillus licheniformis FA6 Affects Zebrafish Lipid Metabolism through Promoting Acetyl-CoA Synthesis and Inhibiting β-Oxidation. Int J Mol Sci 2022; 24:ijms24010673. [PMID: 36614116 PMCID: PMC9820476 DOI: 10.3390/ijms24010673] [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: 11/25/2022] [Revised: 12/27/2022] [Accepted: 12/28/2022] [Indexed: 01/03/2023] Open
Abstract
The intestinal microbiota contributes to energy metabolism, but the molecular mechanisms involved remain less clear. Bacteria of the genus Bacillus regulate lipid metabolism in the host and are thus commonly used as beneficial probiotic supplements. In the present study, Bacillus licheniformis FA6 was selected to assess its role in modulating lipid metabolism of zebrafish (Danio rerio). Combining 16S rRNA high-throughput sequencing, micro-CT scan, metabolic parameters measurement, and gene expression analysis, we demonstrated that B. licheniformis FA6 changed the gut microbiota composition of zebrafish and increased both the Firmicutes/Bacteroidetes ratio and lipid accumulation. In terms of metabolites, B. licheniformis FA6 appeared to promote acetate production, which increased acetyl-CoA levels and promoted lipid synthesis in the liver. In contrast, addition of B. licheniformis lowered carnitine levels, which in turn reduced fatty acid oxidation in the liver. At a molecular level, B. licheniformis FA6 upregulated key genes regulating de novo fatty acid synthesis and downregulated genes encoding key rate-limiting enzymes of fatty acid β-oxidation, thereby promoting lipid synthesis and reducing fatty acid oxidation. Generally, our results reveal that B. licheniformis FA6 promotes lipid accumulation in zebrafish through improving lipid synthesis and reducing β-oxidation.
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Affiliation(s)
- Sijia Chen
- Key Laboratory of Aquaculture Disease Control, Ministry of Agriculture, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weidong Ye
- Key Laboratory of Aquaculture Disease Control, Ministry of Agriculture, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kendall D. Clements
- School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland 1024, New Zealand
| | - Ziye Zan
- Key Laboratory of Aquaculture Disease Control, Ministry of Agriculture, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weishan Zhao
- Key Laboratory of Aquaculture Disease Control, Ministry of Agriculture, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hong Zou
- Key Laboratory of Aquaculture Disease Control, Ministry of Agriculture, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Guitang Wang
- Key Laboratory of Aquaculture Disease Control, Ministry of Agriculture, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shangong Wu
- Key Laboratory of Aquaculture Disease Control, Ministry of Agriculture, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Correspondence: ; Tel.: +86-27-6878-0655
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Li H, Shi M, Ren K, Zhang L, Ye W, Zhang W, Cheng Y, Xia XQ. Visual Omics: a web-based platform for omics data analysis and visualization with rich graph-tuning capabilities. Bioinformatics 2022; 39:6865031. [PMID: 36458930 PMCID: PMC9825776 DOI: 10.1093/bioinformatics/btac777] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 11/15/2022] [Accepted: 12/01/2022] [Indexed: 12/03/2022] Open
Abstract
SUMMARY With the continuous development of high-throughput sequencing technology, bioinformatic analysis of omics data plays an increasingly important role in life science research. Many R packages are widely used for omics analysis, such as DESeq2, clusterProfiler and STRINGdb. And some online tools based on them have been developed to free bench scientists from programming with these R packages. However, the charts generated by these tools are usually in a fixed, non-editable format and often fail to clearly demonstrate the details the researchers intend to express. To address these issues, we have created Visual Omics, an online tool for omics data analysis and scientific chart editing. Visual Omics integrates multiple omics analyses which include differential expression analysis, enrichment analysis, protein domain prediction and protein-protein interaction analysis with extensive graph presentations. It can also independently plot and customize basic charts that are involved in omics analysis, such as various PCA/PCoA plots, bar plots, box plots, heat maps, set intersection diagrams, bubble charts and volcano plots. A distinguishing feature of Visual Omics is that it allows users to perform one-stop omics data analyses without programming, iteratively explore the form and layout of graphs online and fine-tune parameters to generate charts that meet publication requirements. AVAILABILITY AND IMPLEMENTATION Visual Omics can be used at http://bioinfo.ihb.ac.cn/visomics. Source code can be downloaded at http://bioinfo.ihb.ac.cn/software/visomics/visomics-1.1.tar.gz. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Heng Li
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China,College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mijuan Shi
- To whom correspondence should be addressed. or
| | - Keyi Ren
- College of Fisheries and Life Science, Dalian Ocean University, Dalian 116023, China
| | - Lei Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China,College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weidong Ye
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China,College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wanting Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China,The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Yingyin Cheng
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China,The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
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18
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Ai SX, Ye W, Qin Y, Li XM. [Infective endocarditis misdiagnosed as IgA vasculitis]. Zhonghua Nei Ke Za Zhi 2022; 61:1363-1366. [PMID: 36456519 DOI: 10.3760/cma.j.cn112138-20220208-00097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Affiliation(s)
- S X Ai
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - W Ye
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y Qin
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - X M Li
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
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19
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Chang ET, Ye W, Ernberg I, Zeng YX, Adami HO. A novel causal model for nasopharyngeal carcinoma. Cancer Causes Control 2022; 33:1013-1018. [PMID: 35441278 DOI: 10.1007/s10552-022-01582-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 03/30/2022] [Indexed: 11/28/2022]
Abstract
The development of nasopharyngeal carcinoma (NPC) and its unique geographic distribution have long been attributed to a combination of dietary intake of salt-preserved fish, inherited susceptibility, and early-life infection with the Epstein-Barr virus (EBV). New findings from our large, rigorously designed, population-based case-control study of NPC in southern China have enabled substantial revision of this causal model. Here, we briefly summarize these results and provide an updated model of the etiology of NPC. Our new research identifies two EBV genetic variants that may be causally involved in the majority of NPC in southern China, and suggests the rise of modern environmental co-factors accompanying cultural and economic transformation in NPC-endemic regions. These discoveries can be translated directly into clinical and public health advances, including improvement of indoor air quality and oral health, development of an EBV vaccine, enhanced screening strategies, and improved risk prediction. Greater understanding of the roles of environmental, genetic, and viral risk factors can reveal the extent to which these agents act independently or jointly on NPC development. The history of NPC research demonstrates how epidemiology can shed light on the interplay of genes, environment, and infections in carcinogenesis, and how this knowledge can be harnessed for cancer prevention and control.
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Affiliation(s)
- E T Chang
- Center for Health Sciences, Exponent Inc, 149 Commonwealth Dr, Menlo Park, CA, 94303, USA.
- Department of Cancer Prevention Center, Sun Yat-Sen University Cancer Center, Guangzhou, China.
| | - W Ye
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - I Ernberg
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Y X Zeng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, and Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
- Beijing Hospital, Beijing, China
| | - H O Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Clinical Effectiveness Group, Institute of Health and Society, University of Oslo, Oslo, Norway
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20
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Ding G, Ye W, Cao B, Li F. Electrophysiological correlates of the effect of set size on object switching in working memory. Psychophysiology 2022; 60:e14135. [PMID: 35775733 DOI: 10.1111/psyp.14135] [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: 01/16/2022] [Revised: 05/09/2022] [Accepted: 06/04/2022] [Indexed: 11/27/2022]
Abstract
Previous studies have revealed the effect of set size (the number of activated items) on object switching in working memory, but the underlying neural mechanism remains unclear. In this study, participants were asked to first remember two (small size) or three (large size) two-digit numbers and the corresponding geometrical figures as different references for numerical comparison and then compare a series of numbers (10-99) to the reference numbers cued by different geometrical figures. The cue repeated or switched across trials. Behavioral results revealed that the switch cost was greater in the large-size condition than in the small-size condition. Event-related potential results showed that in the N2 component, an interaction was observed between set size and transition, with a significant transition effect (switch minus repeat) in the large-size condition and a non-significant transition effect in the small-size condition. The same interaction was observed in the P3 component, with a larger amplitude difference (switch minus repeat) in the large-size condition than in the small-size condition. These results suggested that when set size is increased, the effort to inhibit the irrelevant items increases, resulting in large cost of object switching in working memory.
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Affiliation(s)
- Gangqiang Ding
- School of Psychology, Jiangxi Normal University, Nanchang, China.,School of Education, Xinyang College, Xinyang, China
| | - Weidong Ye
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Bihua Cao
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Fuhong Li
- School of Psychology, Jiangxi Normal University, Nanchang, China
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21
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Cao C, Ruidi Y, Ye W, Ping Z, Wendi P, Xia X, Yang Y. P-380 Single-cell transcriptome analysis reveales that expression changes of the endometrium in repeated implantation failure are altered by HPV-mediated CXCL chemokine secretion. Hum Reprod 2022. [DOI: 10.1093/humrep/deac107.358] [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: 11/14/2022] Open
Abstract
Abstract
Study question
What are the mechanisms and molecular expression patterns of reduced endometrial receptivity in repeated implantation failure (RIF) after human papillomavirus (HPV) infection?
Summary answer
The single-cell transcriptomic analysis identifies the expression changes of endometrium in RIF via HPV-mediated CXCL chemokines secretion in single-cell resolution.
What is known already
Regardless of the advance of in vitro fertilization (IVF), RIF is still a formidable challenge for couples and physicians in clinical treatment. In infertile couples, a reduction in natural and assisted cumulative pregnancy rate and an increase in miscarriage rate are related to the HPV infection.
Study design, size, duration
Cross-sectional clinical studies with 322 infertile couples undergoing IVF were integrated to demonstrate the associations between HPV infection and reproductive outcomes (pregnancy rate and miscarriage). Descriptive analysis of single-cell transcriptome data of uteruses, and transcriptome profiles of mid-secretory endometrium from 16 healthy fertile women and 38 repeated IVF failure women were analyzed to identify the expression patterns of endometrium in RIF. In vitro assays were used to validate the expression patterns in endometrium.
Participants/materials, setting, methods
322 infertile couples, single-cell transcriptome data of uteruses (human and mouse), and transcriptome profiles of endometrium (16 normal vs. 38 RIF) were used to analyze the association between HPV infection and reduced endometrial receptivity. HPV genes (E1, E2, E4, and E5) were transfected into a human normal endometrial epithelial cell line (hEM3), and immunohistochemistry, Westerns, quantitative PCR were used to validate the changes of CXCL chemokines in the endometrium in vitro.
Main results and the role of chance
Integrated cross-sectional studies demonstrate that HPV+ women exhibit a decreased pregnancy rate (83.09%) as compared with HPV- women (55.17%, P <0.001), and a higher miscarriage rate (62.5% vs. 16.7%, P <0.001) and the relative risk of spontaneous abortion (odd ratio=2.84, P <0.0001) were observed in HPV+ women. Transcriptome profiling analysis identified the enrichment of the processes related to viral protein interaction with cytokine and cytokine receptor and cytokine-cytokine receptor interaction, especially in the CXCL chemokine family. Further analysis of single-cell transcriptome demonstrated that the changed expression patterns were associated with endometrial epithelial cells and immune cells, including macrophage dendritic cells, monocytes, and granulocytes. Moreover, in vitro assays validated the HPV-mediated CXCL chemokines secretion, which played the role in recruiting immune cells.
Limitations, reasons for caution
The current findings are based on the single-cell profiling analysis in normal endometrium. In addition, the in vivo response of the HPV infection may differ from the in vitro assay, which should be validated in the HPV infection couples.
Wider implications of the findings
Our study demonstrated the expression changes of endometrium in RIF via HPV-mediated CXCL chemokines secretion, which provided insight into the mechanisms of HPV-induced reduced endometrial receptivity in single-cell resolution.
Trial registration number
not applicable
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Affiliation(s)
- C Cao
- Peking University Third Hospital, Department of Gynecology and Obstetrics , Beijing, China
| | - Y Ruidi
- Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Department of Gynecology and Obstetrics , Wuhan, China
| | - W Ye
- Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Department of Gynecology and Obstetrics , Wuhan, China
| | - Z Ping
- Peking University Third Hospital, Department of Gynecology and Obstetrics , Beijing, China
| | - P Wendi
- Peking University Third Hospital, Department of Gynecology and Obstetrics , Beijing, China
| | - X Xia
- Peking University Shenzhen Hospital, Department of Gynecology and Obstetrics , Shenzhen, China
| | - Y Yang
- Peking University Third Hospital, Department of Gynecology and Obstetrics , Beijing, China
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22
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Yuan Y, Ye W, Fang X. Dietary Inflammatory Index and all-cause mortality among asthma patients: a population-based cohort study. Ann Palliat Med 2022; 11:2061-2070. [DOI: 10.21037/apm-22-615] [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] [Received: 04/29/2022] [Accepted: 06/09/2022] [Indexed: 11/06/2022]
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23
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Li M, Zhao X, Xie J, Tong X, Shan J, Shi M, Wang G, Ye W, Liu Y, Unger BH, Cheng Y, Zhang W, Wu N, Xia XQ. Dietary Inclusion of Seabuckthorn (Hippophae rhamnoides) Mitigates Foodborne Enteritis in Zebrafish Through the Gut-Liver Immune Axis. Front Physiol 2022; 13:831226. [PMID: 35464096 PMCID: PMC9019508 DOI: 10.3389/fphys.2022.831226] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 03/21/2022] [Indexed: 12/12/2022] Open
Abstract
To help prevent foodborne enteritis in aquaculture, several feed additives, such as herbal medicine, have been added to fish diets. Predictions of effective herb medicines for treating fish foodborne enteritis from key regulated DEGs (differentially expressed genes) in transcriptomic data can aid in the development of feed additives using the Traditional Chinese Medicine Integrated Database. Seabuckthorn has been assessed as a promising candidate for treating grass carp soybean-induced enteritis (SBMIE). In the present study, the SBMIE zebrafish model was used to assess seabuckthorn’s therapeutic or preventative effects. The results showed that intestinal and hepatic inflammation was reduced when seabuckthorn was added, either pathologically (improved intestinal villi morphology, less oil-drops) or growth-related (body fat deposition). Moreover, seabuckthorn may block the intestinal p53 signaling pathway, while activating the PPAR signaling pathway and fatty acid metabolism in the liver. 16S rRNA gene sequencing results also indicated a significant increase in OTU numbers and skewed overlapping with the fish meal group following the addition of seabuckthorn. Additionally, there were signs of altered gut microbiota taxa composition, particularly for reduced TM7, Sphingomonas, and Shigella, following the addition of seabuckthorn. Hindgut imaging of fluorescent immune cells in SBMIE larvae revealed the immune regulatory mechanisms at the cellular level. Seabuckthorn may significantly inhibit the inflammatory gathering of neutrophils, macrophages, and mature T cells, as well as cellular protrusions’ formation. On the other hand, in larvae, seabuckthorn inhibited the inflammatory aggregation of lck+ T cells but not immature lymphocytes, indicating that it affected intestinal adaptive immunity. Although seabuckthorn did not affect the distribution of intestinal CD4+ cells, the number of hepatic CD4+ cells were reduced in fish from the seabuckthorn supplementation group. Thus, the current data indicate that seabuckthorn may alleviate foodborne gut-liver symptoms by enhancing intestinal mucosal immunity and microbiota while simultaneously inhibiting hepatic adipose disposition, making it a potential additive for preventing fish foodborne gut-liver symptoms.
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Affiliation(s)
- Ming Li
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
| | - Xuyang Zhao
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
| | - Jiayuan Xie
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xinyu Tong
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Junwei Shan
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
| | - Mijuan Shi
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Guangxin Wang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Weidong Ye
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yuhang Liu
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
| | | | - Yingyin Cheng
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Wanting Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Nan Wu
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Nan Wu, ; Xiao-Qin Xia,
| | - Xiao-Qin Xia
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Nan Wu, ; Xiao-Qin Xia,
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24
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Yu J, Refsum E, Perrin V, Helsingen L, Wieszczy P, Løberg M, Bretthauer M, Adami H, Ye W, Blom J, Kalager M. Inflammatory bowel disease and risk of adenocarcinoma and neuroendocrine tumors in the small bowel. Ann Oncol 2022; 33:649-656. [DOI: 10.1016/j.annonc.2022.02.226] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/21/2022] [Accepted: 02/24/2022] [Indexed: 12/18/2022] Open
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25
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Hu RR, Xie HY, Ye W, Wen YB, Qin Y, Chen LM, Li XM. [Infective endocarditis mimics lupus nephritis as rapidly progressive glomerulonephritis]. Zhonghua Nei Ke Za Zhi 2022; 61:110-112. [PMID: 34979781 DOI: 10.3760/cma.j.cn112138-20210304-00179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- R R Hu
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H Y Xie
- Department of Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - W Ye
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y B Wen
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y Qin
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - L M Chen
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - X M Li
- Department of Nephrology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
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26
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Xie J, Li M, Ye W, Shan J, Zhao X, Duan Y, Liu Y, Unger BH, Cheng Y, Zhang W, Wu N, Xia XQ. Sinomenine Hydrochloride Ameliorates Fish Foodborne Enteritis via α7nAchR-Mediated Anti-Inflammatory Effect Whilst Altering Microbiota Composition. Front Immunol 2021; 12:766845. [PMID: 34887862 PMCID: PMC8650311 DOI: 10.3389/fimmu.2021.766845] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 11/02/2021] [Indexed: 02/06/2023] Open
Abstract
Foodborne intestinal inflammation is a major health and welfare issue in aquaculture. To prevent enteritis, various additives have been incorporated into the fish diet. Considering anti-inflammatory immune regulation, an effective natural compound could potentially treat or prevent intestinal inflammation. Our previous study has revealed galantamine’s effect on soybean induced enteritis (SBMIE) and has highlighted the possible role of the cholinergic anti-inflammatory pathway in the fish gut. To further activate the intestinal cholinergic related anti-inflammatory function, α7nAchR signaling was considered. In this study, sinomenine, a typical agonist of α7nAChR in mammals, was tested to treat fish foodborne enteritis via its potential anti-inflammation effect using the zebrafish foodborne enteritis model. After sinomenine’s dietary inclusion, results suggested that there was an alleviation of intestinal inflammation at a pathological level. This outcome was demonstrated through the improved morphology of intestinal villi. At a molecular level, SN suppressed inflammatory cytokines’ expression (especially for tnf-α) and upregulated anti-inflammation-related functions (indicated by expression of il-10, il-22, and foxp3a). To systematically understand sinomenine’s intestinal effect on SBMIE, transcriptomic analysis was done on the SBMIE adult fish model. DEGs (sinomenine vs soybean meal groups) were enriched in GO terms related to the negative regulation of lymphocyte/leukocyte activation and alpha-beta T cell proliferation, as well as the regulation of lymphocyte migration. The KEGG pathways for glycolysis and insulin signaling indicated metabolic adjustments of α7nAchR mediated anti-inflammatory effect. To demonstrate the immune cells’ response, in the SBMIE larva model, inflammatory gatherings of neutrophils, macrophages, and lymphocytes caused by soybean meal could be relieved significantly with the inclusion of sinomenine. This was consistent within the sinomenine group as CD4+ or Foxp3+ lymphocytes were found with a higher proportion at the base of mucosal folds, which may suggest the Treg population. Echoing, the sinomenine group’s 16s sequencing result, there were fewer enteritis-related TM7, Sphingomonas and Shigella, but more Cetobacterium, which were related to glucose metabolism. Our findings indicate that sinomenine hydrochloride could be important in the prevention of fish foodborne enteritis at both immune and microbiota levels.
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Affiliation(s)
- Jiayuan Xie
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.,College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Ming Li
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.,College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
| | - Weidong Ye
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.,College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Junwei Shan
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.,College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
| | - Xuyang Zhao
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.,College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
| | - You Duan
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.,College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yuhang Liu
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.,College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
| | | | - Yingyin Cheng
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Wanting Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Nan Wu
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.,College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xiao-Qin Xia
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.,College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
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27
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Narkewicz M, Ye W, Leung D, Siegel M, Molleston J, Masand P, Karmazyn B, Harned R, Stoll J, Ling S, Navarro O, Magee J. 211: Heterogeneous ultrasound predicts high risk for the development of advanced liver disease in CF children: Final results of PUSH study. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)01636-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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28
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Rosato V, Gómez-Rubio P, Molina-Montes E, Márquez M, Löhr M, O'Rorke M, Michalski CW, Molero X, Farré A, Perea J, Kleeff J, Crnogorac-Jurcevic T, Greenhalf W, Ilzarbe L, Tardón A, Gress T, Barberá VM, Domínguez-Muñoz E, Muñoz-Bellvís L, Balsells J, Costello E, Iglesias M, Kong B, Mora J, O'Driscoll D, Poves I, Scarpa A, Ye W, Hidalgo M, Sharp L, Carrato A, Real FX, La Vecchia C, Malats N. Gallbladder disease and pancreatic cancer risk: a multicentric case-control European study. Eur J Cancer Prev 2021; 30:423-430. [PMID: 34545020 DOI: 10.1097/cej.0000000000000588] [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] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND AIMS The overall evidence on the association between gallbladder conditions (GBC: gallstones and cholecystectomy) and pancreatic cancer (PC) is inconsistent. To our knowledge, no previous investigations considered the role of tumour characteristics on this association. Thus, we aimed to assess the association between self-reported GBC and PC risk, by focussing on timing to PC diagnosis and tumour features (stage, location, and resection). METHODS Data derived from a European case-control study conducted between 2009 and 2014 including 1431 PC cases and 1090 controls. We used unconditional logistic regression models to estimate odds ratios (ORs) and corresponding 95% confidence intervals (CIs) adjusted for recognized confounders. RESULTS Overall, 298 (20.8%) cases and 127 (11.6%) controls reported to have had GBC, corresponding to an OR of 1.70 (95% CI 1.33-2.16). The ORs were 4.84 (95% CI 2.96-7.89) for GBC diagnosed <3 years before PC and 1.06 (95% CI 0.79-1.41) for ≥3 years. The risk was slightly higher for stage I/II (OR = 1.71, 95% CI 1.15-2.55) vs. stage III/IV tumours (OR = 1.23, 95% CI 0.87-1.76); for tumours sited in the head of the pancreas (OR = 1.59, 95% CI 1.13-2.24) vs. tumours located at the body/tail (OR = 1.02, 95% CI 0.62-1.68); and for tumours surgically resected (OR = 1.69, 95% CI 1.14-2.51) vs. non-resected tumours (OR = 1.25, 95% CI 0.88-1.78). The corresponding ORs for GBC diagnosed ≥3 years prior PC were close to unity. CONCLUSION Our study supports the association between GBC and PC. Given the time-risk pattern observed, however, this relationship may be non-causal and, partly or largely, due to diagnostic attention and/or reverse causation.
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Affiliation(s)
- V Rosato
- Unit of Medical Statistics and Biometry, National Cancer Institute, IRCCS Foundation, Milan, Italy
| | - P Gómez-Rubio
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid
- CIBERONC, Spain
| | - E Molina-Montes
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid
- CIBERONC, Spain
| | - M Márquez
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid
- CIBERONC, Spain
| | - M Löhr
- Gastrocentrum, Karolinska Institutet and University Hospital, Stockholm, Sweden
| | - M O'Rorke
- Centre for Public Health, Belfast, Queen's University Belfast, Belfast, UK
| | - C W Michalski
- Department of Surgery, Technical University of Munich, Munich
- Department of Visceral, Vascular and Endocrine Surgery, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - X Molero
- Hospital Universitari Vall d'Hebron, Vall d'Hebron Research Institute (VHIR), Barcelona, Universitat Autònoma de Barcelona, Barcelona
- CIBEREHD
| | - A Farré
- Department of Gastroenterology, Hospital de la Santa Creu i Sant Pau, Barcelona
| | - J Perea
- Department of Surgery, University Hospital 12 de Octubre
- Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
| | - J Kleeff
- Department of Surgery, Technical University of Munich, Munich
- Department of Visceral, Vascular and Endocrine Surgery, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - T Crnogorac-Jurcevic
- Barts Cancer Institute, Centre for Molecular Oncology, Queen Mary University of London, John Vane Science Centre, London
| | - W Greenhalf
- Department of Molecular and Clinical Cancer Medicine, The Royal Liverpool University Hospital, Liverpool, UK
| | - L Ilzarbe
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid
- Hospital del Mar-Parc de Salut Mar, Barcelona
| | - A Tardón
- Department of Medicine, Instituto Universitario de Oncología del Principado de Asturias, Oviedo
- CIBERESP, Spain
| | - T Gress
- Department of Gastroenterology, University Hospital of Giessen and Marburg, Marburg, Germany
| | - V M Barberá
- Molecular Genetics Laboratory, General University Hospital of Elche
| | - E Domínguez-Muñoz
- Department of Gastroenterology, University Clinical Hospital of Santiago de Compostela
| | - L Muñoz-Bellvís
- General and Digestive Surgery Department, Salamanca University Hospital, Elche, Santiago de Compostela, and Salamanca, Spain
| | - J Balsells
- Hospital Universitari Vall d'Hebron, Vall d'Hebron Research Institute (VHIR), Barcelona, Universitat Autònoma de Barcelona, Barcelona
- CIBEREHD
| | - E Costello
- Department of Molecular and Clinical Cancer Medicine, The Royal Liverpool University Hospital, Liverpool, UK
| | - M Iglesias
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid
- Hospital del Mar-Parc de Salut Mar, Barcelona
| | - Bo Kong
- Department of Surgery, Technical University of Munich, Munich
| | - J Mora
- Department of Gastroenterology, Hospital de la Santa Creu i Sant Pau, Barcelona
| | - D O'Driscoll
- National Cancer Registry Ireland and HRB Clinical Research Facility, University College Cork, Cork, Ireland
| | - I Poves
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid
- Hospital del Mar-Parc de Salut Mar, Barcelona
| | - A Scarpa
- ARC-Net centre for Applied Research on Cancer and Department of Pathology and Diagnostics, University and Hospital trust of Verona, Verona, Italy
| | - W Ye
- Gastrocentrum, Karolinska Institutet and University Hospital, Stockholm, Sweden
| | - M Hidalgo
- Madrid-Norte-Sanchinarro Hospital, Madrid, Spain
| | - L Sharp
- National Cancer Registry Ireland and HRB Clinical Research Facility, University College Cork, Cork, Ireland
- Newcastle University, Institute of Health & Society, Newcastle, UK
| | - A Carrato
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid
- Department of Oncology, Ramón y Cajal University Hospital, IRYCIS, Alcala University
| | - F X Real
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid
- Epithelial Carcinogenesis Group
- Spanish National Cancer Research Centre (CNIO), Madrid
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
| | - C La Vecchia
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - N Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid
- CIBERONC, Spain
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Ye W, Duan Y, Zhang W, Cheng Y, Shi M, Xia XQ. Comprehensive analysis of hub mRNA, lncRNA and miRNA, and associated ceRNA networks implicated in grass carp (Ctenopharyngodon idella) growth traits. Genomics 2021; 113:4004-4014. [PMID: 34614437 DOI: 10.1016/j.ygeno.2021.10.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 07/27/2021] [Revised: 09/03/2021] [Accepted: 10/01/2021] [Indexed: 01/19/2023]
Abstract
Grass carp (Ctenopharyngodon idella) is the most productive freshwater aquaculture fish in worldwide. However, the molecular mechanism of its growth traits has not been fully elucidated. Whole transcriptome analysis of the brain and hepatopancreas of 29 six-month-old grass carp with different growth rates was performed. Weighted gene co-expression network analysis (WGCNA) was used to construct a weighted gene co-expression network of mRNA, miRNA and lncRNA separately. A total of 35 hub mRNAs, 47 hub lncRNAs and 33 hub miRNAs were identified from the brain, 37 hub mRNAs, 110 hub lncRNAs and 36 hub miRNAs were identified from the hepatopancreas. The ceRNA networks in the brain and hepatopancreas were involved in brain development and nutrient metabolism, respectively. Overall, this is the first investigation of the growth-related transcriptomic characteristics in the brain and hepatopancreas of grass carp, thus will help us to further explore the molecular mechanism of grass carp growth rate.
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Affiliation(s)
- Weidong Ye
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - You Duan
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wanting Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Yingyin Cheng
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Mijuan Shi
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China.
| | - Xiao-Qin Xia
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China; The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China.
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30
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Ye W, Kim M, Fairfax BP, Coupe N, Payne MJ, Matin RN. Phenotyping of cutaneous toxicities in patients with metastatic malignant melanoma treated with immune checkpoint blockade therapy at a UK tertiary care centre. Clin Exp Dermatol 2021; 47:448-450. [PMID: 34610165 DOI: 10.1111/ced.14965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2021] [Indexed: 12/01/2022]
Affiliation(s)
- W Ye
- Oxford University Clinical Academic Graduate School, University of Oxford, Oxford, UK.,Department of Dermatology, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - M Kim
- Department of Dermatology, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - B P Fairfax
- Department of Oncology, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.,The MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - N Coupe
- Department of Oncology, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - M J Payne
- Department of Oncology, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - R N Matin
- Department of Dermatology, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
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You L, Lv Z, Li C, Ye W, Zhou Y, Jin J, Han Q. Worldwide cancer statistics of adolescents and young adults in 2019: a systematic analysis of the Global Burden of Disease Study 2019. ESMO Open 2021; 6:100255. [PMID: 34481330 PMCID: PMC8417345 DOI: 10.1016/j.esmoop.2021.100255] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 07/18/2021] [Accepted: 08/02/2021] [Indexed: 12/30/2022] Open
Abstract
Background The cancer burden in adolescents and young adults (AYAs) deserves more attention. However, global cancer statistics for AYAs are often presented as aggregates, concealing important heterogeneity. This study aimed to describe the worldwide profile of cancer incidence, mortality, and corresponding trends from 1990 to 2019 among 15-39-year olds by focusing on the patterns by age, sex, sociodemographic index (SDI), and regions. Patients and methods Global, regional, and country data on the number of cancer cases and cancer-related deaths for 29 cancer types were collected from the 2019 Global Burden of Disease (GBD) Study. We also summarized the results using five levels of the SDI and 21 GBD regions. Results In 2019, an estimated 1 335 100 new cancer cases and 397 583 cancer-related deaths occurred among AYAs worldwide. While the incidence rate increased mildly, the death rate decreased significantly between 1990 and 2019, with an estimated annual percentage change of 0.38 (95% confidence interval 0.36-0.39) and −0.93 (95% confidence interval −0.95 to −0.92), respectively. The cancer burden was disproportionally greater among women than among men. The cancer profiles varied substantially across geographical regions, with the highest burden being in South Asia and East Asia. Besides, the cancer incidence in the high SDI regions was four times higher than that in the low SDI regions; however, the mortality burden in the high SDI region was lower than that in the low SDI region, which reflected the differences in cancer profiles across SDI regions and the inferior outcomes in the low SDI regions. Conclusion This study updates the previous epidemiological data of the cancer burden of AYAs. The cancer burden in AYAs varied substantially according to age, sex, SDI, and geographical regions. These findings highlight that the specific cancer profile of AYA patients requires targeted cancer control measures to reduce the cancer burden in this age group. The cancer burden in AYAs varied substantially according to age, sex, SDI, and geographical regions. Cancer burden in AYAs was disproportionally greater among women than among men. Cancer profiles of AYAs varied across different geographical regions and SDI regions. Cancer burden in AYAs was still considerable in the low SDI regions.
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Affiliation(s)
- L You
- Department of Hematology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China; Zhejiang Province Key Laboratory of Hematology Oncology Diagnosis and Treatment, Hangzhou, Zhejiang, People's Republic of China
| | - Z Lv
- Xinyuan Institute of Medicine and Biotechnology, School of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, People's Republic of China
| | - C Li
- Department of Hematology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China; Zhejiang Province Key Laboratory of Hematology Oncology Diagnosis and Treatment, Hangzhou, Zhejiang, People's Republic of China
| | - W Ye
- Department of Hematology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China; Zhejiang Province Key Laboratory of Hematology Oncology Diagnosis and Treatment, Hangzhou, Zhejiang, People's Republic of China
| | - Y Zhou
- Department of Hematology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China; Zhejiang Province Key Laboratory of Hematology Oncology Diagnosis and Treatment, Hangzhou, Zhejiang, People's Republic of China
| | - J Jin
- Department of Hematology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China; Zhejiang Province Key Laboratory of Hematology Oncology Diagnosis and Treatment, Hangzhou, Zhejiang, People's Republic of China.
| | - Q Han
- Department of Hematology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China; Department of Pathology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
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32
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You Y, Ye W. [Comparison of three rotary file systems for removal of Enterococcus faecalis from infected root canals]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:1260-1264. [PMID: 34549719 DOI: 10.12122/j.issn.1673-4254.2021.08.19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To compare the efficacy of a novel rotary file system (EZ Pass) with two well-established rotary file systems(ProTaper Gold and ProTaper Next)for removal of Enterococcus faecalis from infected root canals in extracted maxillary central incisors. METHODS Models of root canal infection with Enterococcus faecalis were constructed in 51 extracted singlerooted maxillary central incisors.One of the incisor model with infected root canal was demineralized, sectioned, and stained with Brown & Brenn technique for microscopic observation; The remaining 50 models were randomly divided into 5 groups(n=10) for treatment with EZ Pass, ProTaper Gold, ProTaper Next, 0.9% NaCl or 2% NaOCl.Samples were collected from the infected root canals before and after the treatments to assess the percent reduction and logarithmic reduction value of CFU in the root canals. RESULTS The incisors with root canal infection by Enterococcus faecalis showed obvious biofilms on the surface of the root canals and massive bacterial invasion deep into the dentinal tubules, with a maximum invasion depth of about 475 μm.The percent reduction of the CFU did not differ significantly after treatments with EZ Pass, ProTaper Gold, ProTaper Next and 2% NaOCl (P > 0.05), but all these treatments resulted in significantly greater reduction than 0.9% NaCl (P < 0.01).The logarithmic reduction of CFU were comparable after treatments with EZ Pass (1.47±0.12), ProTaper Gold (1.74±0.14) and ProTaper Next (1.63±0.17;P > 0.05). CONCLUSION EZ Pass can significantly reduce the bacterial load in infected root canals with an equivalent bacterial elimination capacity to ProTaper Gold and ProTaper Next.
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Affiliation(s)
- Y You
- Department of Stomatology, Longhua People's Hospital Affiliated to Southern Medical University, Shenzhen 518109, China.,School of Stomatology, Southern Medical University, Guangzhou 510515, China
| | - W Ye
- Department of Stomatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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33
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Abazov VM, Abbott B, Acharya BS, Adams M, Adams T, Agnew JP, Alexeev GD, Alkhazov G, Alton A, Alves GA, Antchev G, Askew A, Aspell P, Assis Jesus ACS, Atanassov I, Atkins S, Augsten K, Aushev V, Aushev Y, Avati V, Avila C, Badaud F, Baechler J, Bagby L, Baldenegro Barrera C, Baldin B, Bandurin DV, Banerjee S, Barberis E, Baringer P, Barreto J, Bartlett JF, Bassler U, Bazterra V, Bean A, Begalli M, Bellantoni L, Berardi V, Beri SB, Bernardi G, Bernhard R, Berretti M, Bertram I, Besançon M, Beuselinck R, Bhat PC, Bhatia S, Bhatnagar V, Blazey G, Blessing S, Bloom K, Boehnlein A, Boline D, Boos EE, Borchsh V, Borissov G, Borysova M, Bossini E, Bottigli U, Bozzo M, Brandt A, Brandt O, Brochmann M, Brock R, Bross A, Brown D, Bu XB, Buehler M, Buescher V, Bunichev V, Burdin S, Burkhardt H, Buszello CP, Cafagna FS, Camacho-Pérez E, Carvalho W, Casey BCK, Castilla-Valdez H, Catanesi MG, Caughron S, Chakrabarti S, Chan KM, Chandra A, Chapon E, Chen G, Cho SW, Choi S, Choudhary B, Cihangir S, Claes D, Clutter J, Cooke M, Cooper WE, Corcoran M, Couderc F, Cousinou MC, Csanád M, Csörgő T, Cuth J, Cutts D, da Motta H, Das A, Davies G, Deile M, de Jong SJ, De La Cruz-Burelo E, De Leonardis F, Déliot F, Demina R, Denisov D, Denisov SP, De Oliveira Martins C, Desai S, Deterre C, DeVaughan K, Diehl HT, Diesburg M, Ding PF, Dominguez A, Doubek M, Drutskoy A, Druzhkin D, Dubey A, Dudko LV, Duperrin A, Dutt S, Eads M, Edmunds D, Eggert K, Ellison J, Elvira VD, Enari Y, Eremin V, Evans H, Evdokimov A, Evdokimov VN, Fauré A, Feng L, Ferbel T, Ferro F, Fiedler F, Fiergolski A, Filthaut F, Fisher W, Fisk HE, Forthomme L, Fortner M, Fox H, Franc J, Fuess S, Garbincius PH, Garcia F, Garcia-Bellido A, García-González JA, Gavrilov V, Geng W, Georgiev V, Gerber CE, Gershtein Y, Giani S, Ginther G, Gogota O, Golovanov G, Grannis PD, Greder S, Greenlee H, Grenier G, Gris P, Grivaz JF, Grohsjean A, Grünendahl S, Grünewald MW, Grzanka L, Guillemin T, Gutierrez G, Gutierrez P, Haley J, Hammerbauer J, Han L, Harder K, Harel A, Hauptman JM, Hays J, Head T, Hebbeker T, Hedin D, Hegab H, Heinson AP, Heintz U, Hensel C, Heredia-De La Cruz I, Herner K, Hesketh G, Hildreth MD, Hirosky R, Hoang T, Hobbs JD, Hoeneisen B, Hogan J, Hohlfeld M, Holzbauer JL, Howley I, Hubacek Z, Hynek V, Iashvili I, Ilchenko Y, Illingworth R, Isidori T, Ito AS, Ivanchenko V, Jabeen S, Jaffré M, Janda M, Jayasinghe A, Jeong MS, Jesik R, Jiang P, Johns K, Johnson E, Johnson M, Jonckheere A, Jonsson P, Joshi J, Jung AW, Juste A, Kajfasz E, Karev A, Karmanov D, Kašpar J, Katsanos I, Kaur M, Kaynak B, Kehoe R, Kermiche S, Khalatyan N, Khanov A, Kharchilava A, Kharzheev YN, Kiselevich I, Kohli JM, Kopal J, Kozelov AV, Kraus J, Kumar A, Kundrát V, Kupco A, Kurča T, Kuzmin VA, Lami S, Lammers S, Latino G, Lebrun P, Lee HS, Lee SW, Lee WM, Le X, Lellouch J, Li D, Li H, Li L, Li QZ, Lim JK, Lincoln D, Lindsey C, Linhart R, Linnemann J, Lipaev VV, Lipton R, Liu H, Liu Y, Lobodenko A, Lokajicek M, Lokajíček MV, Lopes de Sa R, Losurdo L, Lucas Rodríguez F, Luna-Garcia R, Lyon AL, Maciel AKA, Macrí M, Madar R, Magaña-Villalba R, Malawski M, Malbouisson HB, Malik S, Malyshev VL, Mansour J, Martínez-Ortega J, McCarthy R, McGivern CL, Meijer MM, Melnitchouk A, Menezes D, Mercadante PG, Merkin M, Meyer A, Meyer J, Miconi F, Minafra N, Minutoli S, Molina J, Mondal NK, Mulhearn M, Mundim L, Naaranoja T, Nagy E, Narain M, Nayyar R, Neal HA, Negret JP, Nemes F, Neustroev P, Nguyen HT, Niewiadomski H, Novák T, Nunnemann T, Oguri V, Oliveri E, Oljemark F, Orduna J, Oriunno M, Osman N, Österberg K, Pal A, Palazzi P, Parashar N, Parihar V, Park SK, Partridge R, Parua N, Pasechnik R, Passaro V, Patwa A, Penning B, Perfilov M, Peroutka Z, Peters Y, Petridis K, Petrillo G, Pétroff P, Pleier MA, Podstavkov VM, Popov AV, Prado da Silva WL, Prewitt M, Price D, Procházka J, Prokopenko N, Qian J, Quadt A, Quinn B, Quinto M, Raben TG, Radermacher E, Radicioni E, Rangel M, Ratoff PN, Ravotti F, Razumov I, Ripp-Baudot I, Rizatdinova F, Robutti E, Rodrigues RF, Rominsky M, Ross A, Royon C, Rubinov P, Ruchti R, Ruggiero G, Saarikko H, Sajot G, Samoylenko VD, Sánchez-Hernández A, Sanders MP, Santoro A, Santos AS, Savage G, Savitskyi M, Sawyer L, Scanlon T, Schamberger RD, Scheglov Y, Schellman H, Schott M, Schwanenberger C, Schwienhorst R, Scribano A, Sekaric J, Severini H, Shabalina E, Shary V, Shaw S, Shchukin AA, Shkola O, Simak V, Siroky J, Skubic P, Slattery P, Smajek J, Snoeys W, Snow GR, Snow J, Snyder S, Söldner-Rembold S, Sonnenschein L, Soustruznik K, Stark J, Stefaniuk N, Stefanovitch R, Ster A, Stoyanova DA, Strauss M, Suter L, Svoisky P, Szanyi I, Sziklai J, Taylor C, Tcherniaev E, Titov M, Tokmenin VV, Tsai YT, Tsybychev D, Tuchming B, Tully C, Turini N, Urban O, Uvarov L, Uvarov S, Uzunyan S, Vacek V, Van Kooten R, van Leeuwen WM, Varelas N, Varnes EW, Vasilyev IA, Vavroch O, Verkheev AY, Vertogradov LS, Verzocchi M, Vesterinen M, Vilanova D, Vokac P, Wahl HD, Wang C, Wang MHLS, Warchol J, Watts G, Wayne M, Weichert J, Welti J, Welty-Rieger L, Williams J, Williams MRJ, Wilson GW, Wobisch M, Wood DR, Wyatt TR, Xie Y, Yamada R, Yang S, Yasuda T, Yatsunenko YA, Ye W, Ye Z, Yin H, Yip K, Youn SW, Yu JM, Zennamo J, Zhao TG, Zhou B, Zhu J, Zich J, Zielinski K, Zielinski M, Zieminska D, Zivkovic L. Odderon Exchange from Elastic Scattering Differences between pp and pp[over ¯] Data at 1.96 TeV and from pp Forward Scattering Measurements. Phys Rev Lett 2021; 127:062003. [PMID: 34420329 DOI: 10.1103/physrevlett.127.062003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 02/19/2021] [Accepted: 06/10/2021] [Indexed: 06/13/2023]
Abstract
We describe an analysis comparing the pp[over ¯] elastic cross section as measured by the D0 Collaboration at a center-of-mass energy of 1.96 TeV to that in pp collisions as measured by the TOTEM Collaboration at 2.76, 7, 8, and 13 TeV using a model-independent approach. The TOTEM cross sections, extrapolated to a center-of-mass energy of sqrt[s]=1.96 TeV, are compared with the D0 measurement in the region of the diffractive minimum and the second maximum of the pp cross section. The two data sets disagree at the 3.4σ level and thus provide evidence for the t-channel exchange of a colorless, C-odd gluonic compound, also known as the odderon. We combine these results with a TOTEM analysis of the same C-odd exchange based on the total cross section and the ratio of the real to imaginary parts of the forward elastic strong interaction scattering amplitude in pp scattering for which the significance is between 3.4σ and 4.6σ. The combined significance is larger than 5σ and is interpreted as the first observation of the exchange of a colorless, C-odd gluonic compound.
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Affiliation(s)
- V M Abazov
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | - B Abbott
- University of Oklahoma, Norman, Oklahoma 73019, USA
| | - B S Acharya
- Tata Institute of Fundamental Research, Mumbai-400 005, India
| | - M Adams
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - T Adams
- Florida State University, Tallahassee, Florida 32306, USA
| | - J P Agnew
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - G D Alexeev
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | - G Alkhazov
- Petersburg Nuclear Physics Institute, St. Petersburg 188300, Russia
| | - A Alton
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - G A Alves
- LAFEX, Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ 22290, Brazil
| | - G Antchev
- INRNE-BAS, Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, 1784 Sofia, Bulgaria
| | - A Askew
- Florida State University, Tallahassee, Florida 32306, USA
| | - P Aspell
- CERN, 1211 Geneva 23, Switzerland
| | - A C S Assis Jesus
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - I Atanassov
- INRNE-BAS, Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, 1784 Sofia, Bulgaria
| | - S Atkins
- Louisiana Tech University, Ruston, Louisiana 71272, USA
| | - K Augsten
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - V Aushev
- Taras Shevchenko National University of Kyiv, Kiev 01601, Ukraine
| | - Y Aushev
- Taras Shevchenko National University of Kyiv, Kiev 01601, Ukraine
| | - V Avati
- AGH University of Science and Technology, 30-059 Krakow, Poland
- CERN, 1211 Geneva 23, Switzerland
| | - C Avila
- Universidad de los Andes, Bogotá 111711, Colombia
| | - F Badaud
- LPC, Université Blaise Pascal, CNRS/IN2P3, Clermont, F-63178 Aubière Cedex, France
| | | | - L Bagby
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | | | - B Baldin
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - D V Bandurin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Banerjee
- Tata Institute of Fundamental Research, Mumbai-400 005, India
| | - E Barberis
- Northeastern University, Boston, Massachusetts 02115, USA
| | - P Baringer
- University of Kansas, Lawrence, Kansas 66045, USA
| | - J Barreto
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - J F Bartlett
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - U Bassler
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - V Bazterra
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - A Bean
- University of Kansas, Lawrence, Kansas 66045, USA
| | - M Begalli
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - L Bellantoni
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - V Berardi
- INFN Sezione di Bari, 70126 Bari, Italy
- Dipartimento Interateneo di Fisica di Bari, 70126 Bari, Italy
| | - S B Beri
- Panjab University, Chandigarh 160014, India
| | - G Bernardi
- LPNHE, Universités Paris VI and VII, CNRS/IN2P3, F-75005 Paris, France
| | - R Bernhard
- Physikalisches Institut, Universität Freiburg, 79085 Freiburg, Germany
| | - M Berretti
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
| | - I Bertram
- Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - M Besançon
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - R Beuselinck
- Imperial College London, London SW7 2AZ, United Kingdom
| | - P C Bhat
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - S Bhatia
- University of Mississippi, University, Mississippi 38677, USA
| | | | - G Blazey
- Northern Illinois University, DeKalb, Illinois 60115, USA
| | - S Blessing
- Florida State University, Tallahassee, Florida 32306, USA
| | - K Bloom
- University of Nebraska, Lincoln, Nebraska 68588, USA
| | - A Boehnlein
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - D Boline
- State University of New York, Stony Brook, New York 11794, USA
| | - E E Boos
- Moscow State University, Moscow 119991, Russia
| | - V Borchsh
- Tomsk State University, Tomsk 634050, Russia
| | - G Borissov
- Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - M Borysova
- Taras Shevchenko National University of Kyiv, Kiev 01601, Ukraine
| | - E Bossini
- Università degli Studi di Siena and Gruppo Collegato INFN di Siena, 53100 Siena, Italy
- CERN, 1211 Geneva 23, Switzerland
| | - U Bottigli
- Università degli Studi di Siena and Gruppo Collegato INFN di Siena, 53100 Siena, Italy
| | - M Bozzo
- INFN Sezione di Genova, 16146 Genova, Italy
- Università degli Studi di Genova, 16146 Genova, Italy
| | - A Brandt
- University of Texas, Arlington, Texas 76019, USA
| | - O Brandt
- II. Physikalisches Institut, Georg-August-Universität Göttingen, 37073 Göttingen, Germany
| | - M Brochmann
- University of Washington, Seattle, Washington 98195, USA
| | - R Brock
- Michigan State University, East Lansing, Michigan 48824, USA
| | - A Bross
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - D Brown
- LPNHE, Universités Paris VI and VII, CNRS/IN2P3, F-75005 Paris, France
| | - X B Bu
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M Buehler
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - V Buescher
- Institut für Physik, Universität Mainz, 55099 Mainz, Germany
| | - V Bunichev
- Moscow State University, Moscow 119991, Russia
| | - S Burdin
- Lancaster University, Lancaster LA1 4YB, United Kingdom
| | | | | | | | | | - W Carvalho
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - B C K Casey
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | | | | | - S Caughron
- Michigan State University, East Lansing, Michigan 48824, USA
| | - S Chakrabarti
- State University of New York, Stony Brook, New York 11794, USA
| | - K M Chan
- University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - A Chandra
- Rice University, Houston, Texas 77005, USA
| | - E Chapon
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - G Chen
- University of Kansas, Lawrence, Kansas 66045, USA
| | - S W Cho
- Korea Detector Laboratory, Korea University, Seoul 02841, Korea
| | - S Choi
- Korea Detector Laboratory, Korea University, Seoul 02841, Korea
| | | | - S Cihangir
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - D Claes
- University of Nebraska, Lincoln, Nebraska 68588, USA
| | - J Clutter
- University of Kansas, Lawrence, Kansas 66045, USA
| | - M Cooke
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - W E Cooper
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M Corcoran
- Rice University, Houston, Texas 77005, USA
| | - F Couderc
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - M-C Cousinou
- CPPM, Aix-Marseille Université, CNRS/IN2P3, F-13288 Marseille Cedex 09, France
| | - M Csanád
- Eötvös University, 1117 Budapest, Pázmány P. sétány 1/A, Hungary
- Wigner Research Centre for Physics, RMI, 1121 Budapest, Hungary
| | - T Csörgő
- Wigner Research Centre for Physics, RMI, 1121 Budapest, Hungary
- MATE Institute of Technology KRC, 3200 Gyöngyös, Hungary
| | - J Cuth
- Institut für Physik, Universität Mainz, 55099 Mainz, Germany
| | - D Cutts
- Brown University, Providence, Rhode Island 02912, USA
| | - H da Motta
- Southern Methodist University, Dallas, Texas 75275, USA
| | - A Das
- Southern Methodist University, Dallas, Texas 75275, USA
| | - G Davies
- Imperial College London, London SW7 2AZ, United Kingdom
| | - M Deile
- CERN, 1211 Geneva 23, Switzerland
| | - S J de Jong
- Nikhef, Science Park, 1098 XG Amsterdam, Netherlands
- Radboud University Nijmegen, 6525 AJ Nijmegen, Netherlands
| | | | - F De Leonardis
- INFN Sezione di Bari, 70126 Bari, Italy
- Dipartimento di Ingegneria Elettrica e dell'Informazione-Politecnico di Bari, 70125 Bari, Italy
| | - F Déliot
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - R Demina
- University of Rochester, Rochester, New York 14627, USA
| | - D Denisov
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - S P Denisov
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | | | - S Desai
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - C Deterre
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - K DeVaughan
- University of Nebraska, Lincoln, Nebraska 68588, USA
| | - H T Diehl
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M Diesburg
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - P F Ding
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Dominguez
- University of Nebraska, Lincoln, Nebraska 68588, USA
| | - M Doubek
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - A Drutskoy
- Institute for Theoretical and Experimental Physics, Moscow 117259, Russia
| | - D Druzhkin
- Tomsk State University, Tomsk 634050, Russia
- CERN, 1211 Geneva 23, Switzerland
| | - A Dubey
- Delhi University, Delhi-110 007, India
| | - L V Dudko
- Moscow State University, Moscow 119991, Russia
| | - A Duperrin
- CPPM, Aix-Marseille Université, CNRS/IN2P3, F-13288 Marseille Cedex 09, France
| | - S Dutt
- Panjab University, Chandigarh 160014, India
| | - M Eads
- Northern Illinois University, DeKalb, Illinois 60115, USA
| | - D Edmunds
- Michigan State University, East Lansing, Michigan 48824, USA
| | - K Eggert
- Case Western Reserve University, Department of Physics, Cleveland, Ohio 44106, USA
| | - J Ellison
- University of California Riverside, Riverside, California 92521, USA
| | - V D Elvira
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - Y Enari
- LPNHE, Universités Paris VI and VII, CNRS/IN2P3, F-75005 Paris, France
| | - V Eremin
- Ioffe Physical-Technical Institute of Russian Academy of Sciences, St. Petersburg 194021, Russian Federation
| | - H Evans
- Indiana University, Bloomington, Indiana 47405, USA
| | - A Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - V N Evdokimov
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - A Fauré
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - L Feng
- Northern Illinois University, DeKalb, Illinois 60115, USA
| | - T Ferbel
- University of Rochester, Rochester, New York 14627, USA
| | - F Ferro
- INFN Sezione di Genova, 16146 Genova, Italy
| | - F Fiedler
- Institut für Physik, Universität Mainz, 55099 Mainz, Germany
| | | | - F Filthaut
- Nikhef, Science Park, 1098 XG Amsterdam, Netherlands
- Radboud University Nijmegen, 6525 AJ Nijmegen, Netherlands
| | - W Fisher
- Michigan State University, East Lansing, Michigan 48824, USA
| | - H E Fisk
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - L Forthomme
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
- Department of Physics, 00014 University of Helsinki, Helsinki, Finland
| | - M Fortner
- Northern Illinois University, DeKalb, Illinois 60115, USA
| | - H Fox
- Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - J Franc
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - S Fuess
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - P H Garbincius
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - F Garcia
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
| | | | | | - V Gavrilov
- Institute for Theoretical and Experimental Physics, Moscow 117259, Russia
| | - W Geng
- CPPM, Aix-Marseille Université, CNRS/IN2P3, F-13288 Marseille Cedex 09, France
- Michigan State University, East Lansing, Michigan 48824, USA
| | - V Georgiev
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - C E Gerber
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - Y Gershtein
- Rutgers University, Piscataway, New Jersey 08855, USA
| | - S Giani
- CERN, 1211 Geneva 23, Switzerland
| | - G Ginther
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - O Gogota
- Taras Shevchenko National University of Kyiv, Kiev 01601, Ukraine
| | - G Golovanov
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | - P D Grannis
- State University of New York, Stony Brook, New York 11794, USA
| | - S Greder
- IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France
| | - H Greenlee
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G Grenier
- IPNL, Université Lyon 1, CNRS/IN2P3, F-69622 Villeurbanne Cedex, France and Université de Lyon, F-69361 Lyon CEDEX 07, France
| | - Ph Gris
- LPC, Université Blaise Pascal, CNRS/IN2P3, Clermont, F-63178 Aubière Cedex, France
| | - J-F Grivaz
- LAL, Univ. Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, F-91898 Orsay Cedex, France
| | - A Grohsjean
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - S Grünendahl
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | | | - L Grzanka
- AGH University of Science and Technology, 30-059 Krakow, Poland
| | - T Guillemin
- LAL, Univ. Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, F-91898 Orsay Cedex, France
| | - G Gutierrez
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - P Gutierrez
- University of Oklahoma, Norman, Oklahoma 73019, USA
| | - J Haley
- Oklahoma State University, Stillwater, Oklahoma 74078, USA
| | - J Hammerbauer
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - L Han
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K Harder
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Harel
- University of Rochester, Rochester, New York 14627, USA
| | | | - J Hays
- Imperial College London, London SW7 2AZ, United Kingdom
| | - T Head
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - T Hebbeker
- III. Physikalisches Institut A, RWTH Aachen University, 52056 Aachen, Germany
| | - D Hedin
- Northern Illinois University, DeKalb, Illinois 60115, USA
| | - H Hegab
- Oklahoma State University, Stillwater, Oklahoma 74078, USA
| | - A P Heinson
- University of California Riverside, Riverside, California 92521, USA
| | - U Heintz
- Brown University, Providence, Rhode Island 02912, USA
| | - C Hensel
- LAFEX, Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ 22290, Brazil
| | | | - K Herner
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G Hesketh
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M D Hildreth
- University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - R Hirosky
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - T Hoang
- Florida State University, Tallahassee, Florida 32306, USA
| | - J D Hobbs
- State University of New York, Stony Brook, New York 11794, USA
| | - B Hoeneisen
- Universidad San Francisco de Quito, Quito 170157, Ecuador
| | - J Hogan
- Rice University, Houston, Texas 77005, USA
| | - M Hohlfeld
- Institut für Physik, Universität Mainz, 55099 Mainz, Germany
| | - J L Holzbauer
- University of Mississippi, University, Mississippi 38677, USA
| | - I Howley
- University of Texas, Arlington, Texas 76019, USA
| | - Z Hubacek
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - V Hynek
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - I Iashvili
- State University of New York, Buffalo, New York 14260, USA
| | - Y Ilchenko
- Southern Methodist University, Dallas, Texas 75275, USA
| | - R Illingworth
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - T Isidori
- University of Kansas, Lawrence, Kansas 66045, USA
| | - A S Ito
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | | | - S Jabeen
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M Jaffré
- LAL, Univ. Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, F-91898 Orsay Cedex, France
| | - M Janda
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - A Jayasinghe
- University of Oklahoma, Norman, Oklahoma 73019, USA
| | - M S Jeong
- Korea Detector Laboratory, Korea University, Seoul 02841, Korea
| | - R Jesik
- Imperial College London, London SW7 2AZ, United Kingdom
| | - P Jiang
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K Johns
- University of Arizona, Tucson, Arizona 85721, USA
| | - E Johnson
- Michigan State University, East Lansing, Michigan 48824, USA
| | - M Johnson
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Jonckheere
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - P Jonsson
- Imperial College London, London SW7 2AZ, United Kingdom
| | - J Joshi
- University of California Riverside, Riverside, California 92521, USA
| | - A W Jung
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Juste
- Institució Catalana de Recerca i Estudis Avançats (ICREA) and Institut de Física d'Altes Energies (IFAE), 08193 Bellaterra (Barcelona), Spain
| | - E Kajfasz
- CPPM, Aix-Marseille Université, CNRS/IN2P3, F-13288 Marseille Cedex 09, France
| | - A Karev
- CERN, 1211 Geneva 23, Switzerland
| | - D Karmanov
- Moscow State University, Moscow 119991, Russia
| | - J Kašpar
- Institute of Physics, Academy of Sciences of the Czech Republic, 182 21 Prague, Czech Republic
- CERN, 1211 Geneva 23, Switzerland
| | - I Katsanos
- University of Nebraska, Lincoln, Nebraska 68588, USA
| | - M Kaur
- Panjab University, Chandigarh 160014, India
| | - B Kaynak
- Istanbul University, 34134 Vezneciler, Istanbul, Turkey
| | - R Kehoe
- Southern Methodist University, Dallas, Texas 75275, USA
| | - S Kermiche
- CPPM, Aix-Marseille Université, CNRS/IN2P3, F-13288 Marseille Cedex 09, France
| | - N Khalatyan
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Khanov
- Oklahoma State University, Stillwater, Oklahoma 74078, USA
| | - A Kharchilava
- State University of New York, Buffalo, New York 14260, USA
| | - Y N Kharzheev
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | - I Kiselevich
- Institute for Theoretical and Experimental Physics, Moscow 117259, Russia
| | - J M Kohli
- Panjab University, Chandigarh 160014, India
| | - J Kopal
- CERN, 1211 Geneva 23, Switzerland
| | - A V Kozelov
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - J Kraus
- University of Mississippi, University, Mississippi 38677, USA
| | - A Kumar
- State University of New York, Buffalo, New York 14260, USA
| | - V Kundrát
- Institute of Physics, Academy of Sciences of the Czech Republic, 182 21 Prague, Czech Republic
| | - A Kupco
- Institute of Physics, Academy of Sciences of the Czech Republic, 182 21 Prague, Czech Republic
| | - T Kurča
- IPNL, Université Lyon 1, CNRS/IN2P3, F-69622 Villeurbanne Cedex, France and Université de Lyon, F-69361 Lyon CEDEX 07, France
| | - V A Kuzmin
- Moscow State University, Moscow 119991, Russia
| | - S Lami
- INFN Sezione di Pisa, 56127 Pisa, Italy
| | - S Lammers
- Indiana University, Bloomington, Indiana 47405, USA
| | - G Latino
- Università degli Studi di Siena and Gruppo Collegato INFN di Siena, 53100 Siena, Italy
| | - P Lebrun
- IPNL, Université Lyon 1, CNRS/IN2P3, F-69622 Villeurbanne Cedex, France and Université de Lyon, F-69361 Lyon CEDEX 07, France
| | - H S Lee
- Korea Detector Laboratory, Korea University, Seoul 02841, Korea
| | - S W Lee
- Iowa State University, Ames, Iowa 50011, USA
| | - W M Lee
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - X Le
- University of Arizona, Tucson, Arizona 85721, USA
| | - J Lellouch
- LPNHE, Universités Paris VI and VII, CNRS/IN2P3, F-75005 Paris, France
| | - D Li
- LPNHE, Universités Paris VI and VII, CNRS/IN2P3, F-75005 Paris, France
| | - H Li
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - L Li
- University of California Riverside, Riverside, California 92521, USA
| | - Q Z Li
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - J K Lim
- Korea Detector Laboratory, Korea University, Seoul 02841, Korea
| | - D Lincoln
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - C Lindsey
- University of Kansas, Lawrence, Kansas 66045, USA
| | - R Linhart
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - J Linnemann
- Michigan State University, East Lansing, Michigan 48824, USA
| | - V V Lipaev
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - R Lipton
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - H Liu
- Southern Methodist University, Dallas, Texas 75275, USA
| | - Y Liu
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A Lobodenko
- Petersburg Nuclear Physics Institute, St. Petersburg 188300, Russia
| | - M Lokajicek
- Institute of Physics, Academy of Sciences of the Czech Republic, 182 21 Prague, Czech Republic
| | - M V Lokajíček
- Institute of Physics, Academy of Sciences of the Czech Republic, 182 21 Prague, Czech Republic
| | - R Lopes de Sa
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - L Losurdo
- Università degli Studi di Siena and Gruppo Collegato INFN di Siena, 53100 Siena, Italy
| | | | | | - A L Lyon
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A K A Maciel
- LAFEX, Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ 22290, Brazil
| | - M Macrí
- INFN Sezione di Genova, 16146 Genova, Italy
| | - R Madar
- Physikalisches Institut, Universität Freiburg, 79085 Freiburg, Germany
| | | | - M Malawski
- AGH University of Science and Technology, 30-059 Krakow, Poland
| | - H B Malbouisson
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - S Malik
- University of Nebraska, Lincoln, Nebraska 68588, USA
| | - V L Malyshev
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | - J Mansour
- II. Physikalisches Institut, Georg-August-Universität Göttingen, 37073 Göttingen, Germany
| | | | - R McCarthy
- State University of New York, Stony Brook, New York 11794, USA
| | - C L McGivern
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M M Meijer
- Nikhef, Science Park, 1098 XG Amsterdam, Netherlands
- Radboud University Nijmegen, 6525 AJ Nijmegen, Netherlands
| | - A Melnitchouk
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - D Menezes
- Northern Illinois University, DeKalb, Illinois 60115, USA
| | - P G Mercadante
- Universidade Federal do ABC, Santo André, SP 09210, Brazil
| | - M Merkin
- Moscow State University, Moscow 119991, Russia
| | - A Meyer
- III. Physikalisches Institut A, RWTH Aachen University, 52056 Aachen, Germany
| | - J Meyer
- II. Physikalisches Institut, Georg-August-Universität Göttingen, 37073 Göttingen, Germany
| | - F Miconi
- IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France
| | - N Minafra
- University of Kansas, Lawrence, Kansas 66045, USA
| | - S Minutoli
- INFN Sezione di Genova, 16146 Genova, Italy
| | - J Molina
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - N K Mondal
- Tata Institute of Fundamental Research, Mumbai-400 005, India
| | - M Mulhearn
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - L Mundim
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - T Naaranoja
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
- Department of Physics, 00014 University of Helsinki, Helsinki, Finland
| | - E Nagy
- CPPM, Aix-Marseille Université, CNRS/IN2P3, F-13288 Marseille Cedex 09, France
| | - M Narain
- Brown University, Providence, Rhode Island 02912, USA
| | - R Nayyar
- University of Arizona, Tucson, Arizona 85721, USA
| | - H A Neal
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - J P Negret
- Universidad de los Andes, Bogotá 111711, Colombia
| | - F Nemes
- Wigner Research Centre for Physics, RMI, 1121 Budapest, Hungary
- CERN, 1211 Geneva 23, Switzerland
| | - P Neustroev
- Petersburg Nuclear Physics Institute, St. Petersburg 188300, Russia
| | - H T Nguyen
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - H Niewiadomski
- Case Western Reserve University, Department of Physics, Cleveland, Ohio 44106, USA
| | - T Novák
- MATE Institute of Technology KRC, 3200 Gyöngyös, Hungary
| | - T Nunnemann
- Ludwig-Maximilians-Universität München, 80539 München, Germany
| | - V Oguri
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | | | - F Oljemark
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
- Department of Physics, 00014 University of Helsinki, Helsinki, Finland
| | - J Orduna
- Brown University, Providence, Rhode Island 02912, USA
| | - M Oriunno
- SLAC National Accelerator Laboratory, Stanford, California 94025, USA
| | - N Osman
- CPPM, Aix-Marseille Université, CNRS/IN2P3, F-13288 Marseille Cedex 09, France
| | - K Österberg
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
- Department of Physics, 00014 University of Helsinki, Helsinki, Finland
| | - A Pal
- University of Texas, Arlington, Texas 76019, USA
| | | | - N Parashar
- Purdue University Calumet, Hammond, Indiana 46323, USA
| | - V Parihar
- Brown University, Providence, Rhode Island 02912, USA
| | - S K Park
- Korea Detector Laboratory, Korea University, Seoul 02841, Korea
| | - R Partridge
- Brown University, Providence, Rhode Island 02912, USA
| | - N Parua
- Indiana University, Bloomington, Indiana 47405, USA
| | - R Pasechnik
- Department of Astronomy and Theoretical Physics, Lund University, SE-223 62 Lund, Sweden
| | - V Passaro
- INFN Sezione di Bari, 70126 Bari, Italy
- Dipartimento di Ingegneria Elettrica e dell'Informazione-Politecnico di Bari, 70125 Bari, Italy
| | - A Patwa
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - B Penning
- Imperial College London, London SW7 2AZ, United Kingdom
| | - M Perfilov
- Moscow State University, Moscow 119991, Russia
| | - Z Peroutka
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - Y Peters
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - K Petridis
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - G Petrillo
- University of Rochester, Rochester, New York 14627, USA
| | - P Pétroff
- LAL, Univ. Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, F-91898 Orsay Cedex, France
| | - M-A Pleier
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - V M Podstavkov
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A V Popov
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - W L Prado da Silva
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - M Prewitt
- Rice University, Houston, Texas 77005, USA
| | - D Price
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Procházka
- Institute of Physics, Academy of Sciences of the Czech Republic, 182 21 Prague, Czech Republic
| | - N Prokopenko
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - J Qian
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - A Quadt
- II. Physikalisches Institut, Georg-August-Universität Göttingen, 37073 Göttingen, Germany
| | - B Quinn
- University of Mississippi, University, Mississippi 38677, USA
| | - M Quinto
- INFN Sezione di Bari, 70126 Bari, Italy
- Dipartimento Interateneo di Fisica di Bari, 70126 Bari, Italy
| | - T G Raben
- University of Kansas, Lawrence, Kansas 66045, USA
| | | | | | - M Rangel
- LAFEX, Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ 22290, Brazil
| | - P N Ratoff
- Lancaster University, Lancaster LA1 4YB, United Kingdom
| | | | - I Razumov
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - I Ripp-Baudot
- IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France
| | - F Rizatdinova
- Oklahoma State University, Stillwater, Oklahoma 74078, USA
| | - E Robutti
- INFN Sezione di Genova, 16146 Genova, Italy
| | - R F Rodrigues
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - M Rominsky
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Ross
- Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - C Royon
- University of Kansas, Lawrence, Kansas 66045, USA
| | - P Rubinov
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - R Ruchti
- University of Notre Dame, Notre Dame, Indiana 46556, USA
| | | | - H Saarikko
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
- Department of Physics, 00014 University of Helsinki, Helsinki, Finland
| | - G Sajot
- LPSC, Université Joseph Fourier Grenoble 1, CNRS/IN2P3, Institut National Polytechnique de Grenoble, F-38026 Grenoble Cedex, France
| | - V D Samoylenko
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | | | - M P Sanders
- Ludwig-Maximilians-Universität München, 80539 München, Germany
| | - A Santoro
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - A S Santos
- LAFEX, Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ 22290, Brazil
| | - G Savage
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M Savitskyi
- Taras Shevchenko National University of Kyiv, Kiev 01601, Ukraine
| | - L Sawyer
- Louisiana Tech University, Ruston, Louisiana 71272, USA
| | - T Scanlon
- Imperial College London, London SW7 2AZ, United Kingdom
| | - R D Schamberger
- State University of New York, Stony Brook, New York 11794, USA
| | - Y Scheglov
- Petersburg Nuclear Physics Institute, St. Petersburg 188300, Russia
| | - H Schellman
- Northwestern University, Evanston, Illinois 60208, USA
- Oregon State University, Corvallis, Oregon 97331, USA
| | - M Schott
- Institut für Physik, Universität Mainz, 55099 Mainz, Germany
| | - C Schwanenberger
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Schwienhorst
- Michigan State University, East Lansing, Michigan 48824, USA
| | | | - J Sekaric
- University of Kansas, Lawrence, Kansas 66045, USA
| | - H Severini
- University of Oklahoma, Norman, Oklahoma 73019, USA
| | - E Shabalina
- II. Physikalisches Institut, Georg-August-Universität Göttingen, 37073 Göttingen, Germany
| | - V Shary
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - S Shaw
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A A Shchukin
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - O Shkola
- Taras Shevchenko National University of Kyiv, Kiev 01601, Ukraine
| | - V Simak
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - J Siroky
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - P Skubic
- University of Oklahoma, Norman, Oklahoma 73019, USA
| | - P Slattery
- University of Rochester, Rochester, New York 14627, USA
| | - J Smajek
- CERN, 1211 Geneva 23, Switzerland
| | - W Snoeys
- CERN, 1211 Geneva 23, Switzerland
| | - G R Snow
- University of Nebraska, Lincoln, Nebraska 68588, USA
| | - J Snow
- Langston University, Langston, Oklahoma 73050, USA
| | - S Snyder
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | | | - L Sonnenschein
- III. Physikalisches Institut A, RWTH Aachen University, 52056 Aachen, Germany
| | - K Soustruznik
- Charles University, Faculty of Mathematics and Physics, Center for Particle Physics, 116 36 Prague 1, Czech Republic
| | - J Stark
- LPSC, Université Joseph Fourier Grenoble 1, CNRS/IN2P3, Institut National Polytechnique de Grenoble, F-38026 Grenoble Cedex, France
| | - N Stefaniuk
- Taras Shevchenko National University of Kyiv, Kiev 01601, Ukraine
| | | | - A Ster
- Wigner Research Centre for Physics, RMI, 1121 Budapest, Hungary
| | - D A Stoyanova
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - M Strauss
- University of Oklahoma, Norman, Oklahoma 73019, USA
| | - L Suter
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - P Svoisky
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - I Szanyi
- Eötvös University, 1117 Budapest, Pázmány P. sétány 1/A, Hungary
- Wigner Research Centre for Physics, RMI, 1121 Budapest, Hungary
| | - J Sziklai
- Wigner Research Centre for Physics, RMI, 1121 Budapest, Hungary
| | - C Taylor
- Case Western Reserve University, Department of Physics, Cleveland, Ohio 44106, USA
| | | | - M Titov
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - V V Tokmenin
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | - Y-T Tsai
- University of Rochester, Rochester, New York 14627, USA
| | - D Tsybychev
- State University of New York, Stony Brook, New York 11794, USA
| | - B Tuchming
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - C Tully
- Princeton University, Princeton, New Jersey 08544, USA
| | - N Turini
- Università degli Studi di Siena and Gruppo Collegato INFN di Siena, 53100 Siena, Italy
| | - O Urban
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - L Uvarov
- Petersburg Nuclear Physics Institute, St. Petersburg 188300, Russia
| | - S Uvarov
- Petersburg Nuclear Physics Institute, St. Petersburg 188300, Russia
| | - S Uzunyan
- Northern Illinois University, DeKalb, Illinois 60115, USA
| | - V Vacek
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - R Van Kooten
- Indiana University, Bloomington, Indiana 47405, USA
| | | | - N Varelas
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - E W Varnes
- University of Arizona, Tucson, Arizona 85721, USA
| | - I A Vasilyev
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - O Vavroch
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - A Y Verkheev
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | | | - M Verzocchi
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M Vesterinen
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - D Vilanova
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - P Vokac
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - H D Wahl
- Florida State University, Tallahassee, Florida 32306, USA
| | - C Wang
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M H L S Wang
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - J Warchol
- University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - G Watts
- University of Washington, Seattle, Washington 98195, USA
| | - M Wayne
- University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - J Weichert
- Institut für Physik, Universität Mainz, 55099 Mainz, Germany
| | - J Welti
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
- Department of Physics, 00014 University of Helsinki, Helsinki, Finland
| | | | - J Williams
- University of Kansas, Lawrence, Kansas 66045, USA
| | | | - G W Wilson
- University of Kansas, Lawrence, Kansas 66045, USA
| | - M Wobisch
- Louisiana Tech University, Ruston, Louisiana 71272, USA
| | - D R Wood
- Northeastern University, Boston, Massachusetts 02115, USA
| | - T R Wyatt
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - Y Xie
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - R Yamada
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - S Yang
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - T Yasuda
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - Y A Yatsunenko
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | - W Ye
- State University of New York, Stony Brook, New York 11794, USA
| | - Z Ye
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - H Yin
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - S W Youn
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - J M Yu
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - J Zennamo
- State University of New York, Buffalo, New York 14260, USA
| | - T G Zhao
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - B Zhou
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - J Zhu
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - J Zich
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - K Zielinski
- AGH University of Science and Technology, 30-059 Krakow, Poland
| | - M Zielinski
- University of Rochester, Rochester, New York 14627, USA
| | - D Zieminska
- Indiana University, Bloomington, Indiana 47405, USA
| | - L Zivkovic
- LPNHE, Universités Paris VI and VII, CNRS/IN2P3, F-75005 Paris, France
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Jia Z, Wu N, Jiang X, Li H, Sun J, Shi M, Li C, Ge Y, Hu X, Ye W, Tang Y, Shan J, Cheng Y, Xia XQ, Shi L. Integrative Transcriptomic Analysis Reveals the Immune Mechanism for a CyHV-3-Resistant Common Carp Strain. Front Immunol 2021; 12:687151. [PMID: 34290708 PMCID: PMC8287582 DOI: 10.3389/fimmu.2021.687151] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 06/14/2021] [Indexed: 12/19/2022] Open
Abstract
Anti-disease breeding is becoming the most promising solution to cyprinid herpesvirus-3 (CyHV-3) infection, the major threat to common carp aquaculture. Virus challenging studies suggested that a breeding strain of common carp developed resistance to CyHV-3 infection. This study illustrates the immune mechanisms involved in both sensitivity and anti-virus ability for CyHV3 infection in fish. An integrative analysis of the protein-coding genes and long non-coding RNAs (lncRNAs) using transcriptomic data was performed. Tissues from the head kidney of common carp were extracted at days 0 (the healthy control) and 7 after CyHV-3 infection (the survivors) and used to analyze the transcriptome through both Illumina and PacBio sequencing. Following analysis of the GO terms and KEGG pathways involved, the immune-related terms and pathways were merged. To dig out details on the immune aspect, the DEGs were filtered using the current common carp immune gene library. Immune gene categories and their corresponding genes in different comparison groups were revealed. Also, the immunological Gene Ontology terms for lncRNA modulation were retained. The weighted gene co-expression network analysis was used to reveal the regulation of immune genes by lncRNA. The results demonstrated that the breeding carp strain develops a marked resistance to CyHV-3 infection through a specific innate immune mechanism. The featured biological processes were autophagy, phagocytosis, cytotoxicity, and virus blockage by lectins and MUC3. Moreover, the immune-suppressive signals, such as suppression of IL21R on STAT3, PI3K mediated inhibition of inflammation by dopamine upon infection, as well as the inhibition of NLRC3 on STING during a steady state. Possible susceptible factors for CyHV-3, such as ITGB1, TLR18, and CCL4, were also revealed from the non-breeding strain. The results of this study also suggested that Nramp and PAI regulated by LncRNA could facilitate virus infection and proliferation for infected cells respectively, while T cell leukemia homeobox 3 (TLX3), as well as galectin 3 function by lncRNA, may play a role in the resistance mechanism. Therefore, immune factors that are immunogenetically insensitive or susceptible to CyHV-3 infection have been revealed.
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Affiliation(s)
- Zhiying Jia
- Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, China.,National and Local Joint Engineering Laboratory for Freshwater Fish Breeding, Harbin, China.,Key Laboratory of Aquatic Genomics, Ministry of Agriculture, Chinese Academy of Fishery Sciences, Beijing, China
| | - Nan Wu
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.,College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xiaona Jiang
- Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, China.,National and Local Joint Engineering Laboratory for Freshwater Fish Breeding, Harbin, China
| | - Heng Li
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.,College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Jiaxin Sun
- Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, China.,National and Local Joint Engineering Laboratory for Freshwater Fish Breeding, Harbin, China
| | - Mijuan Shi
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Chitao Li
- Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, China.,National and Local Joint Engineering Laboratory for Freshwater Fish Breeding, Harbin, China
| | - Yanlong Ge
- Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, China.,National and Local Joint Engineering Laboratory for Freshwater Fish Breeding, Harbin, China
| | - Xuesong Hu
- Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, China.,National and Local Joint Engineering Laboratory for Freshwater Fish Breeding, Harbin, China
| | - Weidong Ye
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.,College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Ying Tang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Junwei Shan
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.,College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
| | - Yingyin Cheng
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Xiao-Qin Xia
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.,College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China.,The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Lianyu Shi
- Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, China.,National and Local Joint Engineering Laboratory for Freshwater Fish Breeding, Harbin, China
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Day J, Ye W, Tillett W, Coates LC. POS1084 COMPARISON OF NUMERICAL RATING SCALE (NRS) AND VISUAL ANALOGUE SCALE (VAS) IN THE PATIENT REPORTED OUTCOME MEASURES OF 3VAS AND 4VAS IN PSORIATIC ARTHRITIS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.3598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:There is a recognised need for a feasible continuous composite measure in routine clinical care for psoriatic arthritis (PsA). Two multidimensional composite Visual Analogue Scales (VAS) have been proposed; the 3 and 4VAS1, but there may be some advantages to using a numerical rating scale (NRS) over VAS in patient reported outcomes. VAS is a 100mm horizontal line, and the NRS a 21-point scale ranging from 0 to 10 in increments of 0.5. NRS are simple and faster to score, less susceptible to measurement error and may reduce the floor and ceiling effects, whereby patients avoid using the extremes of the scale. A previous study has demonstrated good agreement between VAS and NRS for the separate patient reported outcome measures in PsA, which correlate with disease severity and life impact.2Objectives:To test the performance of NRS, compared with VAS, in the composite 3 and 4VAS scores.Methods:Data were collected prospectively across three UK hospital trusts from 2018-2019, as part of a study assessing the use of NRS in patient reported outcome measures in PsA.2 Patients completed the VAS and NRS for pain, arthritis, skin psoriasis, and global disease activity. The 3 VAS comprises of a physician global VAS, patient global VAS and patient skin VAS and the 4 VAS comprises of the physician global VAS, patient pain VAS, joint VAS and skin VAS. NRS and VAS versions of the patient reported measures were tested. Physician global scores were not available from the study data, therefore only the patient reported components are included. Agreement between the scales was assessed using the intraclass correlation coefficients (ICCs), with a two-way mixed absolute agreement model, and Bland-Altman plots. Spearman’s rank correlation coefficients were used to assess dependency between scale scores and clinical parameters including tender and swollen joint count, PsAID12 and HAQDI.Results:Data from 209 patients were analysed. 60.0% were male, with mean age of 51.7 years and median PsA duration of 7.0 years. Mean 3VAS score was 3.57 and the mean NRS-3VAS was 3.79, with ICC 0.98 (95% CI 0.96-0.98). Mean 4VAS was 3.71 and NRS-4VAS was 3.90 with ICC 0.98 (95% CI 0.97-0.98). Average NRS scores were slightly higher than VAS scores. The Bland-Altman plots comparing NRS and VAS for the patient-reported components of 3VAS and 4VAS are demonstrated in Figure 1. 64.1% patients reported a preference for NRS over VAS. Correlation of the 3/4VAS with PSAID, HAQ and joints counts are reported in Table 1. Visual representation of the NRS and VAS scales for 3VAS and 4VAS as histograms demonstrated that there is marginally less floor effect using NRS compared to VAS.Conclusion:There is good agreement between VAS and NRS for the patient-reported components of 3VAS and 4VAS, supporting that VAS scores are reproducible as NRS scores. Both NRS and VAS versions of the 3 and 4VAS scales correlate with disease activity and life impact.2 There may be advantages in testing the 3/4VAS as NRS moving forward.References:[1]Tillett W et al. J Rheumatol. 2021; in press[2]Ye W et al. J Rheumatol. 2020 Dec 1:jrheum.200928.Table 1.Spearman’s correlations of the 3 and 4 VAS scores with TJC, SJC, PsAID and HAQPatient ReportedTJCSJCPsAIDHAQDI without aids3 VAS vas0.510.440.880.624 VAS vas0.540.470.890.653 VAS nrs0.490.430.890.634 VAS nrs0.530.460.920.67Key: 3VAS; Patient global and skin VAS, 4 VAS: Patient pain, joint and skin VAS. 3 and 4 NRS; Numeric Rating Scale (NRS). TJC/ SJC: Tender/Swollen Joint count. PSAID: Psoriatic Arthritis Impact of Disease. HAQDI: Stanford Heath Assessment Questionnaire.Acknowledgements:Dr Day and Dr Ye contributed equally to the development of this abstract.Disclosure of Interests:Julia Day: None declared, Weiyu Ye: None declared, William Tillett Speakers bureau: AbbVie, Amgen, Celgene, Lilly, Janssen, Novartis, Pfizer Inc., and UCB, Consultant of: AbbVie, Amgen, Celgene, Lilly, Janssen, Novartis, MSD, Pfizer Inc., and UCB, Grant/research support from: AbbVie, Celgene, Eli Lilly, Janssen and UCB, Laura C Coates Speakers bureau: AbbVie, Amgen, Biogen, Celgene, Gilead, Eli Lilly, Janssen, Medac, Novartis, Pfizer, and UCB., Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol-Myers Squibb, Celgene, Eli Lilly, Gilead, Janssen, Novartis, Pfizer, and UCB;, Grant/research support from: AbbVie, Amgen, Celgene, Eli Lilly, Pfizer, and Novartis.
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Ye W, Zhang X, Li T, Luo C, Yang L. Mixed-reality hologram for diagnosis and surgical planning of double outlet of the right ventricle: a pilot study. Clin Radiol 2020; 76:237.e1-237.e7. [PMID: 33309030 DOI: 10.1016/j.crad.2020.10.017] [Citation(s) in RCA: 6] [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] [Received: 06/23/2020] [Accepted: 10/30/2020] [Indexed: 10/22/2022]
Abstract
AIM To evaluate the mixed-reality (MR) hologram, a novel technology based on two-dimensional images, which simulates three-dimensional (3D) images and provides a dynamic and interactive alternative, for its usefulness in the diagnosis and surgical planning of double outlet of the right ventricle (DORV). MATERIALS AND METHODS Thirty-four patients who were suspected of DORV based on ultrasound findings underwent cardiac computed tomography angiography (CTA). The patients were assigned randomly to the MR holographic guidance (MRHG) group or the control group. For the patients in the MRHG group, the CTA images were converted into Standard Template Library (STL) files after segmentation, 3D reconstruction, colourisation, and transparentisation, and then exported for MR holographic visualisation. The CTA images of the patients in the control group were analysed using routine 3D reconstruction only. Diagnostic accuracy and surgical planning were compared between the two groups based on visualisation at surgery. RESULTS In the MRHG group, the 3D hologram observation was in concordance with the actual anatomical findings, and the DORV type was classified accurately in all patients. The diagnostic accuracy for the malformation was 95.5% in the MRHG group and 89.7% in the control group, but the difference was not significant (p=0.3). All the procedures were exactly the same as planned based on the 3D MR holographic model. The surgical planning time was shorter for the MRHG group (51.65 ± 11.11 min) than that for the control group (65.71 ± 18.07 min, p<0.05). CONCLUSION MR 3D holograms may provide a clear and deeper anatomical perception of DORV and improve surgical planning.
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Affiliation(s)
- W Ye
- Department of Cardiac Surgery, Chinese People's Liberation Army General Hospital, No. 28, Fu Xing Road, Hai Dian District, Beijing, China
| | - X Zhang
- Department of Radiology, Chinese People's Liberation Army General Hospital, No. 28, Fu Xing Road, Hai Dian District, Beijing, China
| | - T Li
- Department of Radiology, Chinese People's Liberation Army General Hospital, No. 28, Fu Xing Road, Hai Dian District, Beijing, China.
| | - C Luo
- Department of Radiology, Chinese People's Liberation Army General Hospital, No. 28, Fu Xing Road, Hai Dian District, Beijing, China
| | - L Yang
- Department of Radiology, Chinese People's Liberation Army General Hospital, No. 28, Fu Xing Road, Hai Dian District, Beijing, China
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Xinyi H, Chen C, Xu Y, Zhang Y, Li C, Lin Z, Ye W, Bai P. Comprehensive Analysis of Key Genes Associated with ceRNA Networks in Nasopharyngeal Carcinoma Based on Bioinformatics Analysis. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.1671] [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: 10/23/2022]
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Ye W, Chen C, Xu Y, Lin Z, Xinyi H, Li J, Bai P. AMIGO2 Promotes The Proliferation And Metastasis Of Nasopharyngeal Carcinoma Cells By Activating The MAPK Signaling Pathway. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.1630] [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: 11/30/2022]
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Helou B, Bel-Brunon A, Dupont C, Ye W, Silvestro C, Rochette M, Lucas A, Kaladji A, Haigron P. The influence of angioplasty balloon sizing on acute post-procedural outcomes: a Finite Element Analysis. Annu Int Conf IEEE Eng Med Biol Soc 2020; 2020:2536-2539. [PMID: 33018523 DOI: 10.1109/embc44109.2020.9176740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Atherosclerosis is one of the most common vascular pathologies in the world. Among the most commonly performed endovascular treatments, percutaneous transluminal angioplasty (PTA) has been showing significantly positive clinical outcomes. Due to the complex geometries, material properties and interactions that characterize PTA procedures, finite element analyses of acute angioplasty balloon deployment are limited. In this work, finite element method (FEM) was used to simulate the inflation and deflation of a semi-compliant balloon within the 3D model of a stenosed artery with two different plaque types (lipid and calcified). Self-defined constitutive models for the balloon and the plaque were developed based on experimental and literature data respectively. Balloon deployment was simulated at three different inflation pressures (10, 12 and 14 atm) within the two plaque types. Balloon sizing influence on the arterial elastic recoil obtained immediately after PTA was then investigated. The simulated results show that calcified plaques may lead to higher elastic recoil ratios compared to lipid stenosis, when the same balloon inflation pressures are applied. Also, elastic recoil increases for higher balloon inflation pressure independent of the plaque type. These findings open the way for a data-driven assessment of angioplasty balloon sizing selection and clinical procedures optimization.Clinical Relevance- The FE model developed in this work aims at providing quantitative evaluation of recoil after balloon angioplasty. It may be useful for both manufacturers and clinicians to improve efficiency of angioplasty balloon device design and sizing selection with respect to plaque geometry and constitution, consequently enhancing clinical outcomes.
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40
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Shi M, Zhang Q, Li Y, Zhang W, Liao L, Cheng Y, Jiang Y, Huang X, Duan Y, Xia L, Ye W, Wang Y, Xia XQ. Global gene expression profile under low-temperature conditions in the brain of the grass carp (Ctenopharyngodon idellus). PLoS One 2020; 15:e0239730. [PMID: 32976524 PMCID: PMC7518592 DOI: 10.1371/journal.pone.0239730] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Accepted: 09/13/2020] [Indexed: 01/29/2023] Open
Abstract
Grass carp is an important commercial fish widely cultivated in China. A wide range of temperatures, particularly extremely low temperatures, have dramatic effects on the aquaculture of this teleost. However, relatively few studies have characterized the molecular responses of grass carp exposed to acute cooling in natural environment. Here, we investigated the transcriptome profiles of the grass carp brain in response to cooling. Through regulation pattern analyses, we identified 2,513 differentially expressed genes (DEGs) that responded to moderate cold stress (12°C), while 99 DEGs were induced by severe low temperature (4°C).The pathway analyses revealed that the DEGs sensitive to moderate cold were largely enriched in steroid biosynthesis, spliceosome, translation, protein metabolism, phagosome, gap junction and estrogen signaling pathways. Additionally, we discerned genes most likely involved in low temperature tolerance, of which the MAPK signaling pathway was dominantly enriched. Further examination and characterization of the candidate genes may help to elucidate the mechanisms underpinning extreme plasticity to severe cold stress in grass carp.
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Affiliation(s)
- Mijuan Shi
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Qiangxiang Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yongming Li
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Wanting Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Lanjie Liao
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Yingyin Cheng
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Yanxin Jiang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoli Huang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - You Duan
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Lei Xia
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Weidong Ye
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yaping Wang
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- * E-mail: (XQX); (YW)
| | - Xiao-Qin Xia
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- * E-mail: (XQX); (YW)
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Su G, Ye W, Miao W, Liu D, Yin L, Wang R, Xing Y, Lu Y, Lou S, Wu M, Yuan N, Xiong T. PCV7 Budget IMPACT Analysis on Fufang Xueshuantong Capsule in Treating Stable Angina Pectoris in China. Value Health Reg Issues 2020. [DOI: 10.1016/j.vhri.2020.07.025] [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: 10/23/2022]
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Bi Y, Zhang J, Zeng D, Chen L, Ye W, Yang Q, Ling Y. 1204P Expression of cholinesterase is associated with prognosis and response to chemotherapy in advanced gastric cancer. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.098] [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: 11/30/2022] Open
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Ye W, Su G, Miao W, Liu D, Yin L, Wang R, Xing Y, Lu Y, Lou S, Wu M, Yuan N, Xiong T. PCV6 MODEL-Based Evaluation on Annual Economic Burden of Coronary Atherosclerotic Heart Disease in China. Value Health Reg Issues 2020. [DOI: 10.1016/j.vhri.2020.07.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Ye W, Gu S, Atanasov P. PCN74 Analyze Oncology Drug Price Change in the Chinese Market through National Reimbursement Drug LIST Negotiation. Value Health Reg Issues 2020. [DOI: 10.1016/j.vhri.2020.07.124] [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: 11/27/2022]
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Hannigan B, Ye W, Mehrotra M, Lam V, Bolivar A, Zalles S, Barkoh BA, Duose D, Hu PC, Broaddus R, Stewart J, Heymach J, Medeiros LJ, Wistuba I, Luthra R, Roy-Chowdhuri S. Liquid biopsy assay for lung carcinoma using centrifuged supernatants from fine-needle aspiration specimens. Ann Oncol 2020; 30:963-969. [PMID: 30887015 DOI: 10.1093/annonc/mdz102] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [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: 12/27/2022] Open
Abstract
INTRODUCTION Tumor mutation profiling is standard-of-care in lung carcinoma patients. However, comprehensive molecular profiling of small specimens, including core needle biopsy (CNB) and fine-needle aspiration (FNA) specimens, may often be inadequate due to limited tissue. Centrifuged FNA supernatants, which are typically discarded, have emerged recently as a novel liquid-based biopsy for molecular testing. In this study, we evaluate the use of lung carcinoma FNA supernatants for detecting clinically relevant mutations. METHODS Supernatants from lung carcinoma FNA samples (n = 150) were evaluated. Samples were further analyzed using next-generation sequencing (NGS) and ultrasensitive droplet digital PCR (ddPCR). Mutation profiles in a subset of samples were compared with results derived from paired tissue samples from the same patient (n = 67) and available plasma liquid biopsy assay (n = 45). RESULTS All 150 samples yielded adequate DNA and NGS were carried out successfully on 104 (90%) of 116 selected samples. Somatic mutations were detected in 82% of the samples and in 50% of these patients a clinically relevant mutation was identified that would qualify them for targeted therapy or a clinical trial. There was high overall concordance between the mutation profiles of supernatants and the corresponding tissue samples, with 100% concordance with concurrent FNA and 96% with concurrent CNB samples. Comparison of actionable driver mutations detected in supernatant versus plasma samples showed 84% concordance. CONCLUSIONS FNA supernatants can provide a valuable specimen source for genotyping lung carcinoma especially in patients with insufficient tumor tissue, thereby reducing multigene mutation profiling failure rates, improving turnaround times, and avoiding repeat biopsies.
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Affiliation(s)
- B Hannigan
- Graduate Program in Diagnostic Genetics, School of Health Professions
| | - W Ye
- Graduate Program in Diagnostic Genetics, School of Health Professions
| | - M Mehrotra
- Departments of Hematopathology, Division of Pathology and Laboratory Medicine
| | - V Lam
- Thoracic/Head and Neck Medical Oncology
| | - A Bolivar
- Graduate Program in Diagnostic Genetics, School of Health Professions
| | - S Zalles
- Graduate Program in Diagnostic Genetics, School of Health Professions
| | - B A Barkoh
- Departments of Hematopathology, Division of Pathology and Laboratory Medicine
| | - D Duose
- Translational Molecular Pathology, Division of Pathology and Laboratory Medicine
| | - P C Hu
- Graduate Program in Diagnostic Genetics, School of Health Professions
| | - R Broaddus
- Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - J Stewart
- Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - J Heymach
- Thoracic/Head and Neck Medical Oncology
| | - L J Medeiros
- Departments of Hematopathology, Division of Pathology and Laboratory Medicine
| | - I Wistuba
- Translational Molecular Pathology, Division of Pathology and Laboratory Medicine
| | - R Luthra
- Departments of Hematopathology, Division of Pathology and Laboratory Medicine
| | - S Roy-Chowdhuri
- Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, USA.
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McLean KA, Ahmed WUR, Akhbari M, Claireaux HA, English C, Frost J, Henshall DE, Khan M, Kwek I, Nicola M, Rehman S, Varghese S, Drake TM, Bell S, Nepogodiev D, McLean KA, Drake TM, Glasbey JC, Borakati A, Drake TM, Kamarajah S, McLean KA, Bath MF, Claireaux HA, Gundogan B, Mohan M, Deekonda P, Kong C, Joyce H, Mcnamee L, Woin E, Burke J, Khatri C, Fitzgerald JE, Harrison EM, Bhangu A, Nepogodiev D, Arulkumaran N, Bell S, Duthie F, Hughes J, Pinkney TD, Prowle J, Richards T, Thomas M, Dynes K, Patel M, Patel P, Wigley C, Suresh R, Shaw A, Klimach S, Jull P, Evans D, Preece R, Ibrahim I, Manikavasagar V, Smith R, Brown FS, Deekonda P, Teo R, Sim DPY, Borakati A, Logan AE, Barai I, Amin H, Suresh S, Sethi R, Bolton W, Corbridge O, Horne L, Attalla M, Morley R, Robinson C, Hoskins T, McAllister R, Lee S, Dennis Y, Nixon G, Heywood E, Wilson H, Ng L, Samaraweera S, Mills A, Doherty C, Woin E, Belchos J, Phan V, Chouari T, Gardner T, Goergen N, Hayes JDB, MacLeod CS, McCormack R, McKinley A, McKinstry S, Milligan W, Ooi L, Rafiq NM, Sammut T, Sinclair E, Smith M, Baker C, Boulton APR, Collins J, Copley HC, Fearnhead N, Fox H, Mah T, McKenna J, Naruka V, Nigam N, Nourallah B, Perera S, Qureshi A, Saggar S, Sun L, Wang X, Yang DD, Caroll P, Doyle C, Elangovan S, Falamarzi A, Perai KG, Greenan E, Jain D, Lang-Orsini M, Lim S, O'Byrne L, Ridgway P, Van der Laan S, Wong J, Arthur J, Barclay J, Bradley P, Edwin C, Finch E, Hayashi E, Hopkins M, Kelly D, Kelly M, McCartan N, Ormrod A, Pakenham A, Hayward J, Hitchen C, Kishore A, Martins T, Philomen J, Rao R, Rickards C, Burns N, Copeland M, Durand C, Dyal A, Ghaffar A, Gidwani A, Grant M, Gribbon C, Gruhn A, Leer M, Ahmad K, Beattie G, Beatty M, Campbell G, Donaldson G, Graham S, Holmes D, Kanabar S, Liu H, McCann C, Stewart R, Vara S, Ajibola-Taylor O, Andah EJE, Ani C, Cabdi NMO, Ito G, Jones M, Komoriyama A, Patel P, Titu L, Basra M, Gallogly P, Harinath G, Leong SH, Pradhan A, Siddiqui I, Zaat S, Ali A, Galea M, Looi WL, Ng JCK, Atkin G, Azizi A, Cargill Z, China Z, Elliot J, Jebakumar R, Lam J, Mudalige G, Onyerindu C, Renju M, Babu VS, Hussain M, Joji N, Lovett B, Mownah H, Ali B, Cresswell B, Dhillon AK, Dupaguntla YS, Hungwe C, Lowe-Zinola JD, Tsang JCH, Bevan K, Cardus C, Duggal A, Hossain S, McHugh M, Scott M, Chan F, Evans R, Gurung E, Haughey B, Jacob-Ramsdale B, Kerr M, Lee J, McCann E, O'Boyle K, Reid N, Hayat F, Hodgson S, Johnston R, Jones W, Khan M, Linn T, Long S, Seetharam P, Shaman S, Smart B, Anilkumar A, Davies J, Griffith J, Hughes B, Islam Y, Kidanu D, Mushaini N, Qamar I, Robinson H, Schramm M, Tan CY, Apperley H, Billyard C, Blazeby JM, Cannon SP, Carse S, Göpfert A, Loizidou A, Parkin J, Sanders E, Sharma S, Slade G, Telfer R, Huppatz IW, Worley E, Chandramoorthy L, Friend C, Harris L, Jain P, Karim MJ, Killington K, McGillicuddy J, Rafferty C, Rahunathan N, Rayne T, Varathan Y, Verma N, Zanichelli D, Arneill M, Brown F, Campbell B, Crozier L, Henry J, McCusker C, Prabakaran P, Wilson R, Asif U, Connor M, Dindyal S, Math N, Pagarkar A, Saleem H, Seth I, Sharma S, Standfield N, Swartbol T, Adamson R, Choi JE, El Tokhy O, Ho W, Javaid NR, Kelly M, Mehdi AS, Menon D, Plumptre I, Sturrock S, Turner J, Warren O, Crane E, Ferris B, Gadsby C, Smallwood J, Vipond M, Wilson V, Amarnath T, Doshi A, Gregory C, Kandiah K, Powell B, Spoor H, Toh C, Vizor R, Common M, Dunleavy K, Harris S, Luo C, Mesbah Z, Kumar AP, Redmond A, Skulsky S, Walsh T, Daly D, Deery L, Epanomeritakis E, Harty M, Kane D, Khan K, Mackey R, McConville J, McGinnity K, Nixon G, Ang A, Kee JY, Leung E, Norman S, Palaniappan SV, Sarathy PP, Yeoh T, Frost J, Hazeldine P, Jones L, Karbowiak M, Macdonald C, Mutarambirwa A, Omotade A, Runkel M, Ryan G, Sawers N, Searle C, Suresh S, Vig S, Ahmad A, McGartland R, Sim R, Song A, Wayman J, Brown R, Chang LH, Concannon K, Crilly C, Arnold TJ, Burgin A, Cadden F, Choy CH, Coleman M, Lim D, Luk J, Mahankali-Rao P, Prudence-Taylor AJ, Ramakrishnan D, Russell J, Fawole A, Gohil J, Green B, Hussain A, McMenamin L, McMenamin L, Tang M, Azmi F, Benchetrit S, Cope T, Haque A, Harlinska A, Holdsworth R, Ivo T, Martin J, Nisar T, Patel A, Sasapu K, Trevett J, Vernet G, Aamir A, Bird C, Durham-Hall A, Gibson W, Hartley J, May N, Maynard V, Johnson S, Wood CM, O'Brien M, Orbell J, Stringfellow TD, Tenters F, Tresidder S, Cheung W, Grant A, Tod N, Bews-Hair M, Lim ZH, Lim SW, Vella-Baldacchino M, Auckburally S, Chopada A, Easdon S, Goodson R, McCurdie F, Narouz M, Radford A, Rea E, Taylor O, Yu T, Alfa-Wali M, Amani L, Auluck I, Bruce P, Emberton J, Kumar R, Lagzouli N, Mehta A, Murtaza A, Raja M, Dennahy IS, Frew K, Given A, He YY, Karim MA, MacDonald E, McDonald E, McVinnie D, Ng SK, Pettit A, Sim DPY, Berthaume-Hawkins SD, Charnley R, Fenton K, Jones D, Murphy C, Ng JQ, Reehal R, Robinson H, Seraj SS, Shang E, Tonks A, White P, Yeo A, Chong P, Gabriel R, Patel N, Richardson E, Symons L, Aubrey-Jones D, Dawood S, Dobrzynska M, Faulkner S, Griffiths H, Mahmood F, Patel P, Perry M, Power A, Simpson R, Ali A, Brobbey P, Burrows A, Elder P, Ganyani R, Horseman C, Hurst P, Mann H, Marimuthu K, McBride S, Pilsworth E, Powers N, Stanier P, Innes R, Kersey T, Kopczynska M, Langasco N, Patel N, Rajagopal R, Atkins B, Beasley W, Lim ZC, Gill A, Ang HL, Williams H, Yogeswara T, Carter R, Fam M, Fong J, Latter J, Long M, Mackinnon S, McKenzie C, Osmanska J, Raghuvir V, Shafi A, Tsang K, Walker L, Bountra K, Coldicutt O, Fletcher D, Hudson S, Iqbal S, Bernal TL, Martin JWB, Moss-Lawton F, Smallwood J, Vipond M, Cardwell A, Edgerton K, Laws J, Rai A, Robinson K, Waite K, Ward J, Youssef H, Knight C, Koo PY, Lazarou A, Stanger S, Thorn C, Triniman MC, Botha A, Boyles L, Cumming S, Deepak S, Ezzat A, Fowler AJ, Gwozdz AM, Hussain SF, Khan S, Li H, Morrell BL, Neville J, Nitiahpapand R, Pickering O, Sagoo H, Sharma E, Welsh K, Denley S, Khan S, Agarwal M, Al-Saadi N, Bhambra R, Gupta A, Jawad ZAR, Jiao LR, Khan K, Mahir G, Singagireson S, Thoms BL, Tseu B, Wei R, Yang N, Britton N, Leinhardt D, Mahfooz M, Palkhi A, Price M, Sheikh S, Barker M, Bowley D, Cant M, Datta U, Farooqi M, Lee A, Morley G, Amin MN, Parry A, Patel S, Strang S, Yoganayagam N, Adlan A, Chandramoorthy S, Choudhary Y, Das K, Feldman M, France B, Grace R, Puddy H, Soor P, Ali M, Dhillon P, Faraj A, Gerard L, Glover M, Imran H, Kim S, Patrick Y, Peto J, Prabhudesai A, Smith R, Tang A, Vadgama N, Dhaliwal R, Ecclestone T, Harris A, Ong D, Patel D, Philp C, Stewart E, Wang L, Wong E, Xu Y, Ashaye T, Fozard T, Galloway F, Kaptanis S, Mistry P, Nguyen T, Olagbaiye F, Osman M, Philip Z, Rembacken R, Tayeh S, Theodoropoulou K, Herman A, Lau J, Saha A, Trotter M, Adeleye O, Cave D, Gunwa T, Magalhães J, Makwana S, Mason R, Parish M, Regan H, Renwick P, Roberts G, Salekin D, Sivakumar C, Tariq A, Liew I, McDade A, Stewart D, Hague M, Hudson-Peacock N, Jackson CES, James F, Pitt J, Walker EY, Aftab R, Ang JJ, Anwar S, Battle J, Budd E, Chui J, Crook H, Davies P, Easby S, Hackney E, Ho B, Imam SZ, Rammell J, Andrews H, Perry C, Schinle P, Ahmed P, Aquilina T, Balai E, Church M, Cumber E, Curtis A, Davies G, Dennis Y, Dumann E, Greenhalgh S, Kim P, King S, Metcalfe KHM, Passby L, Redgrave N, Soonawalla Z, Waters S, Zornoza A, Gulzar I, Hole J, Hull K, Ishaq H, Karaj J, Kelkar A, Love E, Patel S, Thakrar D, Vine M, Waterman A, Dib NP, Francis N, Hanson M, Ingleton R, Sadanand KS, Sukirthan N, Arnell S, Ball M, Bassam N, Beghal G, Chang A, Dawe V, George A, Huq T, Hussain A, Ikram B, Kanapeckaite L, Khan M, Ramjas D, Rushd A, Sait S, Serry M, Yardimci E, Capella S, Chenciner L, Episkopos C, Karam E, McCarthy C, Moore-Kelly W, Watson N, Ahluwalia V, Barnfield J, Ben-Gal O, Bloom I, Gharatya A, Khodatars K, Merchant N, Moonan A, Moore M, Patel K, Spiers H, Sundaram K, Turner J, Bath MF, Black J, Chadwick H, Huisman L, Ingram H, Khan S, Martin L, Metcalfe M, Sangal P, Seehra J, Thatcher A, Venturini S, Whitcroft I, Afzal Z, Brown S, Gani A, Gomaa A, Hussein N, Oh SY, Pazhaniappan N, Sharkey E, Sivagnanasithiyar T, Williams C, Yeung J, Cruddas L, Gurjar S, Pau A, Prakash R, Randhawa R, Chen L, Eiben I, Naylor M, Osei-Bordom D, Trenear R, Bannard-Smith J, Griffiths N, Patel BY, Saeed F, Abdikadir H, Bennett M, Church R, Clements SE, Court J, Delvi A, Hubert J, Macdonald B, Mansour F, Patel RR, Perris R, Small S, Betts A, Brown N, Chong A, Croitoru C, Grey A, Hickland P, Ho C, Hollington D, McKie L, Nelson AR, Stewart H, Eiben P, Nedham M, Ali I, Brown T, Cumming S, Hunt C, Joyner C, McAlinden C, Roberts J, Rogers D, Thachettu A, Tyson N, Vaughan R, Verma N, Yasin T, Andrew K, Bhamra N, Leong S, Mistry R, Noble H, Rashed F, Walker NR, Watson L, Worsfold M, Yarham E, Abdikadir H, Arshad A, Barmayehvar B, Cato L, Chan-lam N, Do V, Leong A, Sheikh Z, Zheleniakova T, Coppel J, Hussain ST, Mahmood R, Nourzaie R, Prowle J, Sheik-Ali S, Thomas A, Alagappan A, Ashour R, Bains H, Diamond J, Gordon J, Ibrahim B, Khalil M, Mittapalli D, Neo YN, Patil P, Peck FS, Reza N, Swan I, Whyte M, Chaudhry S, Hernon J, Khawar H, O'Brien J, Pullinger M, Rothnie K, Ujjal S, Bhatte S, Curtis J, Green S, Mayer A, Watkinson G, Chapple K, Hawthorne T, Khaliq M, Majkowski L, Malik TAM, Mclauchlan K, En BNW, Parton S, Robinson SD, Saat MI, Shurovi BN, Varatharasasingam K, Ward AE, Behranwala K, Bertelli M, Cohen J, Duff F, Fafemi O, Gupta R, Manimaran M, Mayhew J, Peprah D, Wong MHY, Farmer N, Houghton C, Kandhari N, Khan K, Ladha D, Mayes J, McLennan F, Panahi P, Seehra H, Agrawal R, Ahmed I, Ali S, Birkinshaw F, Choudhry M, Gokani S, Harrogate S, Jamal S, Nawrozzadeh F, Swaray A, Szczap A, Warusavitarne J, Abdalla M, Asemota N, Cullum R, Hartley M, Maxwell-Armstrong C, Mulvenna C, Phillips J, Yule A, Ahmed L, Clement KD, Craig N, Elseedawy E, Gorman D, Kane L, Livie J, Livie V, Moss E, Naasan A, Ravi F, Shields P, Zhu Y, Archer M, Cobley H, Dennis R, Downes C, Guevel B, Lamptey E, Murray H, Radhakrishnan A, Saravanabavan S, Sardar M, Shaw C, Tilliridou V, Wright R, Ye W, Alturki N, Helliwell R, Jones E, Kelly D, Lambotharan S, Scott K, Sivakumar R, Victor L, Boraluwe-Rallage H, Froggatt P, Haynes S, Hung YMA, Keyte A, Matthews L, Evans E, Haray P, John I, Mathivanan A, Morgan L, Oji O, Okorocha C, Rutherford A, Spiers H, Stageman N, Tsui A, Whitham R, Amoah-Arko A, Cecil E, Dietrich A, Fitzpatrick H, Guy C, Hair J, Hilton J, Jawad L, McAleer E, Taylor Z, Yap J, Akhbari M, Debnath D, Dhir T, Elbuzidi M, Elsaddig M, Glace S, Khawaja H, Koshy R, Lal K, Lobo L, McDermott A, Meredith J, Qamar MA, Vaidya A, Acquaah F, Barfi L, Carter N, Gnanappiragasam D, Ji C, Kaminski F, Lawday S, Mackay K, Sulaiman SK, Webb R, Ananthavarathan P, Dalal F, Farrar E, Hashemi R, Hossain M, Jiang J, Kiandee M, Lex J, Mason L, Matthews JH, McGeorge E, Modhwadia S, Pinkney T, Radotra A, Rickard L, Rodman L, Sales A, Tan KL, Bachi A, Bajwa DS, Battle J, Brown LR, Butler A, Calciu A, Davies E, Gardner I, Girdlestone T, Ikogho O, Keelan G, O'Loughlin 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T, Turner S, Varcada M, Warren L, Wynell-Mayow W, Church R, Linley-Adams L, Osborn G, Saunders M, Spencer R, Srikanthan M, Tailor S, Tullett A, Ali M, Al-Masri S, Carr G, Ebhogiaye O, Heng S, Manivannan S, Manley J, McMillan LE, Peat C, Phillips B, Thomas S, Whewell H, Williams G, Bienias A, Cope EA, Courquin GR, Day L, Garner C, Gimson A, Harris C, Markham K, Moore T, Nadin T, Phillips C, Subratty SM, Brown K, Dada J, Durbacz M, Filipescu T, Harrison E, Kennedy ED, Khoo E, Kremel D, Lyell I, Pronin S, Tummon R, Ventre C, Walls L, Wootton E, Akhtar A, Davies E, El-Sawy D, Farooq M, Gaddah M, Griffiths H, Katsaiti I, Khadem N, Leong K, Williams I, Chean CS, Chudek D, Desai H, Ellerby N, Hammad A, Malla S, Murphy B, Oshin O, Popova P, Rana S, Ward T, Abbott TEF, Akpenyi O, Edozie F, El Matary R, English W, Jeyabaladevan S, Morgan C, Naidu V, Nicholls K, Peroos S, Prowle J, Sansome S, Torrance HD, Townsend D, Brecher J, Fung H, Kazmi Z, Outlaw P, Pursnani K, Ramanujam N, Razaq A, Sattar M, Sukumar S, Tan TSE, Chohan K, Dhuna S, Haq T, Kirby S, Lacy-Colson J, Logan P, Malik Q, McCann J, Mughal Z, Sadiq S, Sharif I, Shingles C, Simon A, Burnage S, Chan SSN, Craig ARJ, Duffield J, Dutta A, Eastwood M, Iqbal F, Mahmood F, Mahmood W, Patel C, Qadeer A, Robinson A, Rotundo A, Schade A, Slade RD, De Freitas M, Kinnersley H, McDowell E, Moens-Lecumberri S, Ramsden J, Rockall T, Wiffen L, Wright S, Bruce C, Francois V, Hamdan K, Limb C, Lunt AJ, Manley L, Marks M, Phillips CFE, Agnew CJF, Barr CJ, Benons N, Hart SJ, Kandage D, Krysztopik R, Mahalingam P, Mock J, Rajendran S, Stoddart MT, Clements B, Gillespie H, Lee S, McDougall R, Murray C, O'Loane R, Periketi S, Tan S, Amoah R, Bhudia R, Dudley B, Gilbert A, Griffiths B, Khan H, McKigney N, Roberts B, Samuel R, Seelarbokus A, Stubbing-Moore A, Thompson G, Williams P, Ahmed N, Akhtar R, Chandler E, Chappelow I, Gil H, Gower T, Kale A, Lingam G, Rutler L, Sellahewa C, Sheikh A, Stringer H, Taylor R, Aglan H, Ashraf MR, Choo S, Das E, Epstein J, Gentry R, Mills D, Poolovadoo Y, Ward N, Bull K, Cole A, Hack J, Khawari S, Lake C, Mandishona T, Perry R, Sleight S, Sultan S, Thornton T, Williams S, Arif T, Castle A, Chauhan P, Chesner R, Eilon T, Kamarajah S, Kambasha C, Lock L, Loka T, Mohammad F, Motahariasl S, Roper L, Sadhra SS, Sheikh A, Toma T, Wadood Q, Yip J, Ainger E, Busti S, Cunliffe L, Flamini T, Gaffing S, Moorcroft C, Peter M, Simpson L, Stokes E, Stott G, Wilson J, York J, Yousaf A, Borakati A, Brown M, Goaman A, Hodgson B, Ijeomah A, Iroegbu U, Kaur G, Lowe C, Mahmood S, Sattar Z, Sen P, Szuman A, Abbas N, Al-Ausi M, Anto N, Bhome R, Eccles L, Elliott J, Hughes EJ, Jones A, Karunatilleke AS, Knight JS, Manson CCF, Mekhail I, Michaels L, Noton TM, Okenyi E, Reeves T, Yasin IH, Banfield DA, Harris R, Lim D, Mason-Apps C, Roe T, Sandhu J, Shafiq N, Stickler E, Tam JP, Williams LM, Ainsworth P, Boualbanat Y, Doull C, Egan E, Evans L, Hassanin K, Ninkovic-Hall G, Odunlami W, Shergill M, Traish M, Cummings D, Kershaw S, Ong J, Reid F, Toellner H, Alwandi A, Amer M, George D, Haynes K, Hughes K, Peakall L, Premakumar Y, Punjabi N, Ramwell A, Sawkins H, Ashwood J, Baker A, Baron C, Bhide I, Blake E, De Cates C, Esmail R, Hosamuddin H, Kapp J, Nguru N, Raja M, Thomson F, Ahmed H, Aishwarya G, Al-Huneidi R, Ali S, Aziz R, Burke D, Clarke B, Kausar A, Maskill D, Mecia L, Myers L, Smith ACD, Walker G, Wroe N, Donohoe C, Gibbons D, Jordan P, Keogh C, Kiely A, Lalor P, McCrohan M, Powell C, Foley MP, Reynolds J, Silke E, Thorpe O, Kong JTH, White C, Ali Q, Dalrymple J, Ge Y, Khan H, Luo RS, Paine H, Paraskeva B, Parker L, Pillai K, Salciccioli J, Selvadurai S, Sonagara V, Springford LR, Tan L, Appleton S, Leadholm N, Zhang Y, Ahern D, Cotter M, Cremen S, Durrigan T, Flack V, Hrvacic N, Jones H, Jong B, Keane K, O'Connell PR, O'sullivan J, Pek G, Shirazi S, Barker C, Brown A, Carr W, Chen Y, Guillotte C, Harte J, Kokayi A, Lau K, McFarlane S, Morrison S, Broad J, Kenefick N, Makanji D, Printz V, Saito R, Thomas O, Breen H, Kirk S, Kong CH, O'Kane A, Eddama M, Engledow A, Freeman SK, Frost A, Goh C, Lee G, Poonawala R, Suri A, Taribagil P, Brown H, Christie S, Dean S, Gravell R, Haywood E, Holt F, Pilsworth E, Rabiu R, Roscoe HW, Shergill S, Sriram A, Sureshkumar A, Tan LC, Tanna A, Vakharia A, Bhullar S, Brannick S, Dunne E, Frere M, Kerin M, Kumar KM, Pratumsuwan T, Quek R, Salman M, Van Den Berg N, Wong C, Ahluwalia J, Bagga R, Borg CM, Calabria C, Draper A, Farwana M, Joyce H, Khan A, Mazza M, Pankin G, Sait MS, Sandhu N, Virani N, Wong J, Woodhams K, Croghan N, Ghag S, Hogg G, Ismail O, John N, Nadeem K, Naqi M, Noe SM, Sharma A, Tan S, Begum F, Best R, Collishaw A, Glasbey J, Golding D, Gwilym B, Harrison P, Jackman T, Lewis N, Luk YL, Porter T, Potluri S, Stechman M, Tate S, Thomas D, Walford B, Auld F, Bleakley A, Johnston S, Jones C, Khaw J, Milne S, O'Neill S, Singh KKR, Smith R, Swan A, Thorley N, Yalamarthi S, Yin ZD, Ali A, Balian V, Bana R, Clark K, Livesey C, McLachlan G, Mohammad M, Pranesh N, Richards C, Ross F, Sajid M, Brooke M, Francombe J, Gresly J, Hutchinson S, Kerrigan K, Matthews E, Nur S, Parsons L, Sandhu A, Vyas M, White F, Zulkifli A, Zuzarte L, Al-Mousawi A, Arya J, Azam S, Yahaya AA, Gill K, Hallan R, Hathaway C, Leptidis I, McDonagh L, Mitrasinovic S, Mushtaq N, Pang N, Peiris GB, Rinkoff S, Chan L, Christopher E, Farhan-Alanie MMH, Gonzalez-Ciscar A, Graham CJ, Lim H, McLean KA, Paterson HM, Rogers A, Roy C, Rutherford D, Smith F, Zubikarai G, Al-Khudairi R, Bamford M, Chang M, Cheng J, Hedley C, Joseph R, Mitchell B, Perera S, Rothwell L, Siddiqui A, Smith J, Taylor K, Wright OW, Baryan HK, Boyd G, Conchie H, Cox L, Davies J, Gardner S, Hill N, Krishna K, Lakin F, Scotcher S, Alberts J, Asad M, Barraclough J, Campbell A, Marshall D, Wakeford W, Cronbach P, D'Souza F, Gammeri E, Houlton J, Hall M, Kethees A, Patel R, Perera M, Prowle J, Shaid M, Webb E, Beattie S, Chadwick M, El-Taji O, Haddad S, Mann M, Patel M, Popat K, Rimmer L, Riyat H, Smith H, Anandarajah C, Cipparrone M, Desai K, Gao C, Goh ET, Howlader M, Jeffreys N, Karmarkar A, Mathew G, Mukhtar H, Ozcan E, Renukanthan A, Sarens N, Sinha C, Woolley A, Bogle R, Komolafe O, Loo F, Waugh D, Zeng R, Crewe A, Mathias J, Mills A, Owen A, Prior A, Saunders I, Baker A, Crilly L, McKeon J, Ubhi HK, Adeogun A, Carr R, Davison C, Devalia S, Hayat A, Karsan RB, Osborne C, Scott K, Weegenaar C, Wijeyaratne M, Babatunde F, Barnor-Ahiaku E, Beattie G, Chitsabesan P, Dixon O, Hall N, Ilenkovan N, Mackrell T, Nithianandasivam N, Orr J, Palazzo F, Saad M, Sandland-Taylor L, Sherlock J, Ashdown T, Chandler S, Garsaa T, Lloyd J, Loh SY, Ng S, Perkins C, Powell-Chandler A, Smith F, Underhill R. Perioperative intravenous contrast administration and the incidence of acute kidney injury after major gastrointestinal surgery: prospective, multicentre cohort study. Br J Surg 2020; 107:1023-1032. [PMID: 32026470 DOI: 10.1002/bjs.11453] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 09/21/2019] [Accepted: 11/08/2019] [Indexed: 01/14/2023]
Abstract
BACKGROUND This study aimed to determine the impact of preoperative exposure to intravenous contrast for CT and the risk of developing postoperative acute kidney injury (AKI) in patients undergoing major gastrointestinal surgery. METHODS This prospective, multicentre cohort study included adults undergoing gastrointestinal resection, stoma reversal or liver resection. Both elective and emergency procedures were included. Preoperative exposure to intravenous contrast was defined as exposure to contrast administered for the purposes of CT up to 7 days before surgery. The primary endpoint was the rate of AKI within 7 days. Propensity score-matched models were adjusted for patient, disease and operative variables. In a sensitivity analysis, a propensity score-matched model explored the association between preoperative exposure to contrast and AKI in the first 48 h after surgery. RESULTS A total of 5378 patients were included across 173 centres. Overall, 1249 patients (23·2 per cent) received intravenous contrast. The overall rate of AKI within 7 days of surgery was 13·4 per cent (718 of 5378). In the propensity score-matched model, preoperative exposure to contrast was not associated with AKI within 7 days (odds ratio (OR) 0·95, 95 per cent c.i. 0·73 to 1·21; P = 0·669). The sensitivity analysis showed no association between preoperative contrast administration and AKI within 48 h after operation (OR 1·09, 0·84 to 1·41; P = 0·498). CONCLUSION There was no association between preoperative intravenous contrast administered for CT up to 7 days before surgery and postoperative AKI. Risk of contrast-induced nephropathy should not be used as a reason to avoid contrast-enhanced CT.
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Mariosa D, Kamel F, Bellocco R, Ronnevi LO, Almqvist C, Larsson H, Ye W, Fang F. Antidiabetics, statins and the risk of amyotrophic lateral sclerosis. Eur J Neurol 2020; 27:1010-1016. [PMID: 32097525 PMCID: PMC10957794 DOI: 10.1111/ene.14190] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 02/20/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Medications that are used for treatment of metabolic disorders have been suggested to be associated with the development of amyotrophic lateral sclerosis (ALS). METHODS To examine the associations of antidiabetics and statins with the subsequent risk of ALS we conducted a population-based nested case-control study of 2475 Swedish residents diagnosed with ALS during July 2006 to December 2013 and 12 375 population controls (five for each ALS case). We extracted information on filled prescriptions of antidiabetics and statins for both cases and controls from the Swedish Prescribed Drug Register during the years before ALS diagnosis. Conditional logistic regression was used to calculate odds ratios (ORs) for the associations of these medications with ALS risk. RESULTS Patients with ALS were less likely to have been prescribed with antidiabetics compared with controls [OR, 0.76; 95% confidence intervals (CI), 0.65-0.90]. Conversely, statins were not associated with ALS risk overall (OR, 1.08; 95% CI, 0.98-1.19), although a positive association was noted among women (OR, 1.28; 95% CI, 1.10-1.48). The latter association was mostly explained by ALS cases being more likely to have a first prescription of statins during the year before diagnosis compared with controls (OR, 2.54; 95% CI, 1.84-3.49). CONCLUSIONS The inverse association of antidiabetics with ALS is consistent with the previously reported inverse association between type 2 diabetes and ALS risk. The increase in prescription of statins during the year before ALS diagnosis deserves attention because it might reflect an acceleration of the course of ALS due to statin use.
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Affiliation(s)
- D. Mariosa
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - F. Kamel
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, DHHS, Research Triangle Park, NC, USA
| | - R. Bellocco
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
| | - L.-O. Ronnevi
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm
| | - C. Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Lung and Allergy Unit, Astrid Lindgren Children’s Hospital, Karolinska University Hospital, Stockholm
| | - H. Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Medical Sciences, Örebro University, Örebro
| | - W. Ye
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - F. Fang
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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FAN X, Li X, Ye W, Ma J. SAT-139 Prevalence of urinary stone disease and association with markers of kidney injury in a rural Chinese population. Kidney Int Rep 2020. [DOI: 10.1016/j.ekir.2020.02.148] [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: 10/24/2022] Open
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Eagle DM, Schepisi C, Chugh S, Desai S, Han SYS, Huang T, Lee JJ, Sobala C, Ye W, Milton AL, Robbins TW. Dissociable dopaminergic and pavlovian influences in goal-trackers and sign-trackers on a model of compulsive checking in OCD. Psychopharmacology (Berl) 2020; 237:3569-3581. [PMID: 32886158 PMCID: PMC7683452 DOI: 10.1007/s00213-020-05636-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 08/07/2020] [Indexed: 01/05/2023]
Abstract
RATIONALE Checking is a functional behaviour that provides information to guide behaviour. However, in obsessive-compulsive disorder (OCD), checking may escalate to dysfunctional levels. The processes underpinning the transition from functional to dysfunctional checking are unclear but may be associated with individual differences that support the development of maladaptive behaviour. We examined one such predisposition, sign-tracking to a pavlovian conditioned stimulus, which we previously found associated with dysfunctional checking. How sign-tracking interacts with another treatment with emerging translational validity for OCD-like checking, chronic administration of the dopamine D2 receptor agonist quinpirole, is unknown. OBJECTIVES We tested how functional and dysfunctional checking in the rat observing response task (ORT) was affected by chronic quinpirole administration in non-autoshaped controls and autoshaped animals classified as sign-trackers or goal-trackers. METHODS Sign-trackers or goal-trackers were trained on the ORT before the effects of chronic quinpirole administration on checking were assessed. Subsequently, the effects on checking of different behavioural challenges, including reward omission and the use of unpredictable reinforcement schedules, were tested. RESULTS Prior autoshaping increased checking. Sign-trackers and goal-trackers responded differently to quinpirole sensitization, reward omission and reinforcement uncertainty. Sign-trackers showed greater elevations in dysfunctional checking, particularly during uncertainty. By contrast, goal-trackers predominantly increased functional checking responses, possibly in response to reduced discrimination accuracy in the absence of cues signalling which lever was currently active. CONCLUSIONS The results are discussed in terms of how pavlovian associations influence behaviour that becomes compulsive in OCD and how this may be dependent on striatal dopamine D2 receptors.
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Affiliation(s)
- D. M. Eagle
- grid.5335.00000000121885934Department of Psychology, University of Cambridge, Downing Site, Cambridge, CB2 3EB UK
| | - C. Schepisi
- grid.5335.00000000121885934Department of Psychology, University of Cambridge, Downing Site, Cambridge, CB2 3EB UK ,grid.7841.aSapienza University of Rome, Rome, Italy
| | - S. Chugh
- grid.5335.00000000121885934Department of Psychology, University of Cambridge, Downing Site, Cambridge, CB2 3EB UK
| | - S. Desai
- grid.5335.00000000121885934Department of Psychology, University of Cambridge, Downing Site, Cambridge, CB2 3EB UK
| | - S. Y. S. Han
- grid.5335.00000000121885934Department of Psychology, University of Cambridge, Downing Site, Cambridge, CB2 3EB UK
| | - T. Huang
- grid.5335.00000000121885934Department of Psychology, University of Cambridge, Downing Site, Cambridge, CB2 3EB UK
| | - J. J. Lee
- grid.5335.00000000121885934Department of Psychology, University of Cambridge, Downing Site, Cambridge, CB2 3EB UK ,grid.5337.20000 0004 1936 7603University of Bristol, Bristol, UK ,grid.83440.3b0000000121901201University College London, London, UK
| | - C. Sobala
- grid.5335.00000000121885934Department of Psychology, University of Cambridge, Downing Site, Cambridge, CB2 3EB UK
| | - W. Ye
- grid.5335.00000000121885934Department of Psychology, University of Cambridge, Downing Site, Cambridge, CB2 3EB UK ,grid.4991.50000 0004 1936 8948Oxford University Clinical Academic Graduate School, University of Oxford, Oxford, UK
| | - A. L. Milton
- grid.5335.00000000121885934Department of Psychology, University of Cambridge, Downing Site, Cambridge, CB2 3EB UK
| | - T. W. Robbins
- grid.5335.00000000121885934Department of Psychology, University of Cambridge, Downing Site, Cambridge, CB2 3EB UK
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Mc Groary P, Ye W, Nangle E. First report of the sting nematode Belonolaimus longicaudatus infecting bermudagrass in Barbados. J Nematol 2020; 52:1-2. [PMID: 32227751 PMCID: PMC7266025 DOI: 10.21307/jofnem-2020-021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Indexed: 11/11/2022] Open
Abstract
In 2016, "Tifdwarf" hybrid bermudagrass (Cynodon dactylon (L) Pers. × C. transvaalensis Burtt-Davy) grown on a golf green built to the United States Golf Association recommendations in Barbados started to show irregular significant chlorotic patches followed by gradual thinning and decline of turfgrass. A survey was conducted in May 2016 to determine the presence of plant-parasitic nematodes. The results revealed the presence of the plant-parasitic sting nematode Belonolaimus longicaudatus. To our knowledge, this is the first report of B. longicaudatus associated with bermudagrass in Barbados. In 2016, “Tifdwarf” hybrid bermudagrass (Cynodon dactylon (L) Pers. × C. transvaalensis Burtt-Davy) grown on a golf green built to the United States Golf Association recommendations in Barbados started to show irregular significant chlorotic patches followed by gradual thinning and decline of turfgrass. A survey was conducted in May 2016 to determine the presence of plant-parasitic nematodes. The results revealed the presence of the plant-parasitic sting nematode Belonolaimus longicaudatus. To our knowledge, this is the first report of B. longicaudatus associated with bermudagrass in Barbados.
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Affiliation(s)
| | - W Ye
- Nematode Assay Section, Agronomic Division, North Carolina Department of Agriculture & Consumer Services, Raleigh, NC
| | - E Nangle
- The Ohio State University , ATI/OARDC, Wooster, OH
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