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Wang L, Shao J, Dong WW, Zheng SS, Zhu BQ, Shu Q, Chen W, Fan LC, Sun J, Gao Y, Hu YF, Wang NR, Wang ZH, Niu TT, Luo Y, Gao J, Tong ML, Hu Y, Xiang W, Zhao ZY, Mao M, Jiang F. [Epidemiological investigation of iron deficiency among preschool children in 10 provinces, autonomous regions, or municipalities in China]. Zhonghua Er Ke Za Zhi 2024; 62:416-422. [PMID: 38623008 DOI: 10.3760/cma.j.cn112140-20240131-00086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Abstract
Objective: To understand the current status of anemia, iron deficiency, and iron-deficiency anemia among preschool children in China. Methods: A cross-sectional study was conducted with a multi-stage stratified sampling method to select 150 streets or townships from 10 Chinese provinces, autonomous regions, or municipalities (East: Jiangsu, Zhejiang, Shandong, and Hainan; Central: Henan; West: Chongqing, Shaanxi, Guizhou, and Xinjiang; Northeast: Liaoning). From May 2022 to April 2023, a total of 21 470 children, including community-based children aged 0.5 to<3.0 years receiving child health care and kindergarten-based children aged 3.0 to<7.0 years, were surveyed. They were divided into 3 age groups: infants (0.5 to<1.0 year), toddlers (1.0 to<3.0 years), and preschoolers (3.0 to<7.0 years). Basic information such as sex and date of birth of the children was collected, and peripheral blood samples were obtained for routine blood tests and serum ferritin measurement. The prevalence rates of anemia, iron deficiency, and iron-deficiency anemia were analyzed, and the prevalence rate differences were compared among different ages, sex, urban and rural areas, and regions using the chi-square test. Results: A total of 21 460 valid responses were collected, including 10 780 boys (50.2%). The number of infants, toddlers, and preschoolers were 2 645 (12.3%), 6 244 (29.1%), and 12 571 (58.6%), respectively. The hemoglobin level was (126.7±14.8) g/L, and the serum ferritin level was 32.3 (18.5, 50.1) μg/L. The overall rates of anemia, iron deficiency, and iron-deficiency anemia were 10.4% (2 230/21 460), 28.3% (6 070/21 460), and 3.9% (845/21 460), respectively. The prevalence rate of anemia was higher for boys than for girls (10.9% (1 173/10 780) vs. 9.9% (1 057/10 680), χ2=5.58, P=0.018), with statistically significant differences in the rates for infants, toddlers and preschoolers (18.0% (475/2 645), 10.6% (662/6 244), and 8.7% (1 093/12 571), respectively, χ2=201.81, P<0.01), and the rate was significantly higher for children in rural than that in urban area (11.8% (1 516/12 883) vs. 8.3% (714/8 577), χ2=65.54, P<0.01), with statistically significant differences in the rates by region (χ2=126.60, P<0.01), with the highest rate of 15.8% (343/2 173) for children in Central region, and the lowest rate of 5.3% (108/2 053) in Northeastern region. The prevalence rates of iron deficiency were 33.8% (895/2 645), 32.2% (2 011/6 244), and 25.2% (3 164/12 571) in infants, toddlers, and preschoolers, respectively, and 30.0% (3 229/10 780) in boys vs. 26.6% (2 841/10 680) in girls, 21.7% (1 913/8 821), 40.0% (870/2 173), 27.1% (2 283/8 413), 48.9% (1 004/2 053) in Eastern, Central, Western, and Northeastern regions, respectively, and each between-group showed a significant statistical difference (χ2=147.71, 29.73, 773.02, all P<0.01). The prevalence rate of iron-deficiency anemia showed a significant statistical difference between urban and rural areas, 2.9% (251/8 577) vs. 4.6% (594/12 883) (χ2=38.62, P<0.01), while the difference in iron deficiency prevalence was not significant (χ2=0.51, P=0.476). Conclusions: There has been a notable improvement in iron deficiency and iron-deficiency anemia among preschool children in China, but the situation remains concerning. Particular attention should be paid to the prevention and control of iron deficiency and iron-deficiency anemia, especially among infants and children in the Central, Western, and Northeastern regions of China.
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Affiliation(s)
- L Wang
- Department of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310003, China
| | - J Shao
- Department of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310003, China
| | - W W Dong
- Department of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310003, China
| | - S S Zheng
- Department of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310003, China
| | - B Q Zhu
- Department of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310003, China
| | - Q Shu
- Department of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310003, China
| | - W Chen
- Department of Child Health Care, the Third Affiliated Hospital of Zhengzhou University (Maternal and Child Health Hospital of Henan Province), Zhengzhou 450052, China
| | - L C Fan
- Department of Child Health Care, Hainan Women and Children's Medical Center, Haikou 570206, China
| | - J Sun
- Department of Child Health Medicine, Dalian Women and Children's Medical Group, Dalian 116033, China
| | - Y Gao
- Department of Child Health Care, Urumqi Maternal and Child Health Hospital, Urumqi 830001, China
| | - Y F Hu
- Department of Children's Health Care, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Jiangsu Women and Children Health Hospital, Nanjing 210036, China
| | - N R Wang
- Department of Child Health Care, Chongqing Health Center for Women and Children, Women and Children's Hospital of Chongqing Medical University, Chongqing 401147, China
| | - Z H Wang
- Health Center of the Children, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an 710004, China
| | - T T Niu
- Department of Child Health Care, Maternal and Child Health Care Hospital of Shandong Province, Jinan 250014, China
| | - Y Luo
- Department of Child Health Care, Guiyang Maternal and Child Health Care Hospital, Guiyang 550001, China
| | - J Gao
- Department of Hematology/Oncology, West China Second University Hospital, Sichuan University, National Health Commission Key Laboratory of Chronobiology, Sichuan University, Chengdu 610041, China
| | - M L Tong
- Department of Child Health Care, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing 210004, China
| | - Y Hu
- Health Care Center, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - W Xiang
- Department of Child Health Care, Hainan Women and Children's Medical Center, Haikou 570206, China
| | - Z Y Zhao
- Department of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310003, China
| | - M Mao
- Department of Child Health Care, West China Second University Hospital, Sichun University, Chengdu 610041, China
| | - F Jiang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, National Children's Medical Center, Shanghai 200127, China
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Ye HP, Fu H, Shao J, Shan XY, Zhang L, Zhang L. [The method of determination for 2, 3-Butanedione in the air of workplace by high performance liquid chromatography with derivatization]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2024; 42:129-132. [PMID: 38403422 DOI: 10.3760/cma.j.cn121094-20221201-00574] [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: 02/27/2024]
Abstract
Objective: To establish a method for the determination of 2, 3-Butanedione (BUT) in the air of workplace, which including the process of collection by absorption in phosphoric acid aqueous solution and the process of analysis and detection by high performance liquid chromatography with derivatization. Methods: In October 2022, a porous glass plate absorption tube containing 10 ml of 0.01% phosphoric acid solution was used to collect BUT in the air of the workplace at a flow rate of 0.2 L/min. The absorption solution was derived by 2, 4-dinitrophenylhydrazine for 75 min and separated on a SB-C18 column (250 mm×4.6 mm, 5 μm) . At the column temperature of 30 ℃, the mixture of acetonitrile-water (V∶V, 1∶1) was eluted at the flow rate of 1.0 ml/min. It was detected by UV detector (λ=365 nm) , qualitatived by retention time and quantitatived by external standard. Results: It showed that BUT in phosphoric acid aqueous solution could be stored for at least 7 d at 4 ℃. There was a linear relationship within the determination range of 0.05-6.00 μg/ml, the linear regression equation was y=89.610x+0.133, r=0.9999. The sampling absorption efficiencies were 98.33%-100.00%, the detection limit of the method was 0.005 μg/ml, the minimum detection concentration was 0.016 mg/m(3) (based on V(0)=3.0 L) . The recovery rates were 95.96%-102.44%, the intra batch precision were 4.36%-7.78%, and the inter batch precision were 4.96%-6.06%. Conclusion: The method has the advantages of simple operation, high sensitivity and good accuracy. It can prevent the loss and degradation of BUT. It can be used for the determination of BUT in the air of workplace.
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Affiliation(s)
- H P Ye
- Health Testing Department, Hangzhou Occupational Disease Prevention and Control Hospital, Hangzhou 310014, China
| | - H Fu
- Health Testing Department, Hangzhou Occupational Disease Prevention and Control Hospital, Hangzhou 310014, China
| | - J Shao
- Health Testing Department, Hangzhou Occupational Disease Prevention and Control Hospital, Hangzhou 310014, China
| | - X Y Shan
- Health Testing Department, Hangzhou Occupational Disease Prevention and Control Hospital, Hangzhou 310014, China
| | - L Zhang
- Health Testing Department, Hangzhou Occupational Disease Prevention and Control Hospital, Hangzhou 310014, China
| | - L Zhang
- Health Testing Department, Hangzhou Occupational Disease Prevention and Control Hospital, Hangzhou 310014, China
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Shao J, Zhang Q, Yan K, Liu B. PreHom-PCLM: protein remote homology detection by combing motifs and protein cubic language model. Brief Bioinform 2023; 24:bbad347. [PMID: 37833837 DOI: 10.1093/bib/bbad347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 08/14/2023] [Accepted: 09/14/2023] [Indexed: 10/15/2023] Open
Abstract
Protein remote homology detection is essential for structure prediction, function prediction, disease mechanism understanding, etc. The remote homology relationship depends on multiple protein properties, such as structural information and local sequence patterns. Previous studies have shown the challenges for predicting remote homology relationship by protein features at sequence level (e.g. position-specific score matrix). Protein motifs have been used in structure and function analysis due to their unique sequence patterns and implied structural information. Therefore, designing a usable architecture to fuse multiple protein properties based on motifs is urgently needed to improve protein remote homology detection performance. To make full use of the characteristics of motifs, we employed the language model called the protein cubic language model (PCLM). It combines multiple properties by constructing a motif-based neural network. Based on the PCLM, we proposed a predictor called PreHom-PCLM by extracting and fusing multiple motif features for protein remote homology detection. PreHom-PCLM outperforms the other state-of-the-art methods on the test set and independent test set. Experimental results further prove the effectiveness of multiple features fused by PreHom-PCLM for remote homology detection. Furthermore, the protein features derived from the PreHom-PCLM show strong discriminative power for proteins from different structural classes in the high-dimensional space. Availability and Implementation: http://bliulab.net/PreHom-PCLM.
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Affiliation(s)
- Jiangyi Shao
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Qi Zhang
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Ke Yan
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
- Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
| | - Bin Liu
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
- Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
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Zhang XY, Xu HQ, Wang CF, Shao J, Wan YH, Tao FB. [Application of entropy weight TOPSIS comprehensive method in the evaluation of students' physical health level]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:997-1003. [PMID: 37482736 DOI: 10.3760/cma.j.cn112150-20220712-00712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objective: To comprehensively evaluate the physical health level of students of different school-age segments in four regions of Anhui province using the entropy weight approximation ideal solution ranking method (TOPSIS), and to provide a scientific method and basis for conducting school health work evaluation. Methods: Using the physical fitness survey data of four regions in Anhui province, the entropy weight method was used to draw the weights of various indicators for different school-age segments of men and women. Then, the TOPSIS method was used to evaluate the school-age segments of men and women in the four regions. Finally, the physical health level of students in four regions was classified according to the results of entropy weight TOPSIS and the rank sum ratio method. Results: A total of 10 127 students were included in this study, with an average age of (11.85±3.82) years, including 5 050 males (49.8%) and 5 072 urban students (50.1%). The results of the entropy weight method showed that the weight of body mass index of boys was similar to that of girls in each school-age segment. According to the TOPSIS and rank sum ratio analysis, the physical health level of students in the four regions of Anhui province was different. The physical health score of Suzhou was 0.617 4 points, which was classified as the best grade. The scores of Hefei and Wuhu were 0.556 3 and 0.411 2, which were classified as middle. Jiju City scored 0.381 9 points, which was classified as poor. Conclusion: TOPSIS combined with rank sum ratio can reflect the level of students' physical health, which can be applied to the evaluation of students' physical health and provide a basis for monitoring students' physical health.
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Affiliation(s)
- X Y Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - H Q Xu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - C F Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - J Shao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Y H Wan
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China Key Laboratory of Birth Population Health, Ministry of Education/Anhui Provincial Key Laboratory of Population Health and Eugenics/Key Laboratory of Gametes and Reproductive Tract Abnormalities, National Health Commission, Hefei 230032, China
| | - F B Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China Key Laboratory of Birth Population Health, Ministry of Education/Anhui Provincial Key Laboratory of Population Health and Eugenics/Key Laboratory of Gametes and Reproductive Tract Abnormalities, National Health Commission, Hefei 230032, China
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5
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Liu AN, Shen HQ, Xu CF, Jiang L, Shao J, Shu Q, Fu JF, Ni Y. [Characteristics of serum bile acids among healthy children in Zhejiang province]. Zhonghua Er Ke Za Zhi 2023; 61:509-514. [PMID: 37312461 DOI: 10.3760/cma.j.cn112140-20230127-00056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To characterize the serum bile acid profiles of healthy children in Zhejiang Province. Methods: A cross-sectional study was conducted on 245 healthy children who underwent imaging and laboratory biochemical tests during routine physical examinations at the Children's Hospital of Zhejiang University School of Medicine from January 2020 to July 2022. Overnight fasting venous blood samples were collected, and the concentrations of 18 individual bile acids in the serum were accurately quantitated using tandem mass spectrometry. The concentration difference of bile acid were compared between different genders and to explore the correlation between age and bile acid levels. Used the Mann-Whitney U test for intergroup comparison and Spearman test to correlation analysis. Results: A total of 245 health children with a age of 10 (8, 12) years including 125 boys and 120 girls. There were no significant differences in levels of total bile acids, primary and secondary bile acids, free and conjugated bile acids between the two gender groups (all P>0.05). The serum concentrations of ursodeoxycholic acid and glycoursodeoxycholic acid in girls were significantly higher than those in boys (199.0 (66.9, 276.5) vs. 154.7 (49.3, 205.0) nmol/L, 274.0 (64.8, 308.0) vs. 181.0 (43.8, 209.3) nmol/L, Z=2.06, 2.71, both P<0.05). The serum taurolithocholic acid in both boys and girls were positively correlated with age (r=0.31, 0.32, both P<0.05). The serum chenodeoxycholic acid and glycochenodeoxycholic acid in the boys group were positively correlated with age (r=0.20, 0.23, both P<0.05), whereas the serum tauroursodeoxycholic acid in the girls group was negatively correlated with age (r=-0.27, P<0.05), and the serum cholic acid was positively correlated with age (r=0.34, P<0.05). Conclusions: The total bile acid levels are relatively stable in healthy children in Zhejiang province. However, individual bile acids showed gender differences and were correlated with age.
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Affiliation(s)
- A N Liu
- Department of Clinical Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310005, China
| | - H Q Shen
- Department of Clinical Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310005, China
| | - C F Xu
- Department of Clinical Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310005, China
| | - L Jiang
- Department of Clinical Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310005, China
| | - J Shao
- Department of Child Healthcare, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310005, China
| | - Q Shu
- Department of Clinical Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310005, China
| | - J F Fu
- Department of Clinical Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310005, China
| | - Y Ni
- Department of Clinical Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310005, China
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Neustaeter A, Shao J, Xue M, Antonio Hernández Rocha C, Lee SH, Leibovitzh H, Madsen K, Meddings JB, Espin-Garcia O, Griffiths AM, Moayyedi P, Steinhart AH, Panancionne R, Huynh H, Jacobson K, Aumais G, Mack D, Bernstein C, Marshall JK, Xu W, Turpin W, Croitoru K. A238 BILE ACID COMPOSITION AND DIETARY FAT: IMPLICATIONS FOR CROHN’S DISEASE IN A COHORT OF HEALTHY FIRST-DEGREE RELATIVES. J Can Assoc Gastroenterol 2023. [PMCID: PMC9991268 DOI: 10.1093/jcag/gwac036.238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2023] Open
Abstract
Background Crohn’s disease (CD) is a chronic relapsing inflammatory disease of the gastrointestinal tract. The etiology of CD may arise from complex interactions including host genetics, diet, and the intestinal microbiome. Increased consumption of saturated fats, characteristic of the Western diet, is a known risk factor for CD. Dietary fat (DF) is absorbed by the host through the release of primary bile acids (PBAs) and bio-transformed by the microbiome into secondary bile acids (SBAs). Altogether, bile acids (BAs) can act as signaling molecules involved in host immune regulation and potentially in CD onset. Purpose To investigate the relationship between CD risk, BAs, and DF, and evaluate the predictive performance of CD onset of these factors by developing machine learning models. Method We used samples healthy first-degree relatives (FDRs) recruited as part of the Crohn’s Colitis Canada- Genes, Environment, Microbial (GEM) project. Those who developed CD (n=87) were matched 1:4 by age, sex, follow-up time, and geographic location with control FDRs remaining healthy (n=347). Serum, urine, and stool BA were measured using ultrahigh Performance Liquid Chromatography-Tandem Mass Spectroscopy. DF types were derived from food frequency questionnaire data. We used conditional logistic regressions to identify associations between CD onset, BAs (n=93), and DFs (n=9). We further explored the relationships of significant CD-related BAs and DF via Generalized Estimation Equations. Finally, we used a tree-based machine-learning algorithm (XGBoost) with 5-fold cross-validation to assess the prediction performance of CD onset using BA from all sources as well as DF. Two-sided p<0.05 was considered significant. Result(s) In total, 10 of 93 BAs, and two of nine DFs were significantly associated with increased odds of CD onset (p<0.05). Additionally, five BAs were significantly associated with DF (p<0.05). Serum-derived BAs had the best predictive performance for CD, with a mean AUC of 0.70 [95% CI: 0.63;0.76], followed by stool derived BAs with a mean AUC= 0.65 [0.55;0.75], and followed by urine derived Bas with a mean AUC= 0.57 [0.48;0.66]. Lastly DF was not a predictive marker of CD onset with a mean AUC= 0.50 [0.41;0.60]. Conclusion(s) This study suggests that BAs are associated with the pathogenesis of CD and the effects may be influenced by DF. Serum-derived BAs may be able to better predict the risk of CD than other stool or urine derived BA, while DF is not directly implicated in CD risk. Submitted on behalf of the CCC-GEM consortium. Funding Crohn’s and Colitis Canada Genetics Environment Microbial (CCC-GEM) III The Leona M. and Harry B. Helmsley Charitable Trust Kenneth Croitoru is the recipient of the Canada Research Chair in Inflammatory Bowel Diseases The International Organization for the Study of Inflammatory Bowel Diseases (IOIBD) Jingcheng Shao is the recipient of a Data Science Institute Summer Undergraduate Data Science award Disclosure of Interest None Declared
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Affiliation(s)
| | - J Shao
- University of Toronto, Toronto
| | - M Xue
- University of Toronto, Toronto
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- University of Alberta, Calgary
| | - K Jacobson
- University of British Columbia, Vancouver
| | | | - D Mack
- University of Ottawa, Ottawa
| | | | | | - W Xu
- University of Toronto, Toronto
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Kong H, Chung M, Doran DS, Ha G, Kim SH, Kim JH, Liu W, Lu X, Power J, Seok JM, Shin S, Shao J, Whiteford C, Wisniewski E. Fabrication of THz corrugated wakefield structure and its high power test. Sci Rep 2023; 13:3207. [PMID: 36828881 PMCID: PMC9958108 DOI: 10.1038/s41598-023-29997-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 02/14/2023] [Indexed: 02/26/2023] Open
Abstract
We present overall process for developing terahertz (THz) corrugated structure and its beam-based measurement results. 0.2-THz corrugated structures were fabricated by die stamping method as the first step demonstration towards GW THz radiation source and GV/m THz wakefield accelerator. 150-[Formula: see text]m thick disks were produced from an OFHC (C10100) foil by stamping. Two types of disks were stacked alternately to form 46 mm structure with [Formula: see text] 170 corrugations. Custom assembly was designed to provide diffusion bonding with a high precision alignment of disks. The compliance of the fabricated structure have been verified through beam-based wakefield measurement at Argonne Wakefield Accelerator Facility. Both measured longitudinal and transverse wakefield showed good agreement with simulated wakefields. Measured peak gradients, 9.4 MV/m/nC for a long single bunch and 35.4 MV/m/nC for a four bunch trains, showed good agreement with the simulation.
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Affiliation(s)
- H Kong
- Pohang Accelerator Laboratory, POSTECH, Pohang, Gyungbuk, 37673, Korea.,Department of Physics, Kyungpook National University, Daegu, 41566, Korea
| | - M Chung
- Ulsan National Institute of Science and Technology, Ulsan, 44919, Korea
| | - D S Doran
- Argonne National Laboratory, Argonne, IL, 60439, USA
| | - G Ha
- Argonne National Laboratory, Argonne, IL, 60439, USA.
| | - S-H Kim
- Pohang Accelerator Laboratory, POSTECH, Pohang, Gyungbuk, 37673, Korea
| | - J-H Kim
- Pohang Accelerator Laboratory, POSTECH, Pohang, Gyungbuk, 37673, Korea
| | - W Liu
- Argonne National Laboratory, Argonne, IL, 60439, USA
| | - X Lu
- Argonne National Laboratory, Argonne, IL, 60439, USA.,Northern Illinois University, Dekalb, IL, 60115, USA
| | - J Power
- Argonne National Laboratory, Argonne, IL, 60439, USA
| | - J-M Seok
- Pohang Accelerator Laboratory, POSTECH, Pohang, Gyungbuk, 37673, Korea.,Argonne National Laboratory, Argonne, IL, 60439, USA
| | - S Shin
- Department of Accelerator Science, Korea University, Sejong, 30019, Korea.
| | - J Shao
- Argonne National Laboratory, Argonne, IL, 60439, USA
| | - C Whiteford
- Argonne National Laboratory, Argonne, IL, 60439, USA
| | - E Wisniewski
- Argonne National Laboratory, Argonne, IL, 60439, USA
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Abstract
Porphyromonas gingivalis, a major periodontal pathogen, invades autophagosomes of cells, including gingival epithelial cells, endothelial cells, gingival fibroblasts, macrophages, and dendritic cells, to escape antimicrobial autophagy and lysosome fusion. However, it is not known how P. gingivalis resists autophagic immunity, survives within cells, and induces inflammation. Thus, we investigated whether P. gingivalis could escape antimicrobial autophagy by promoting lysosome efflux to block autophagic maturation, leading to intracellular survival, and whether the growth of P. gingivalis within cells results in cellular oxidative stress, causing mitochondrial damage and inflammatory responses. P. gingivalis invaded human immortalized oral epithelial cells in vitro and mouse oral epithelial cells of gingival tissues in vivo. The production of reactive oxygen species (ROS) increased upon bacterial invasion, as well as mitochondrial dysfunction-related parameters with downregulated mitochondrial membrane potential and intracellular adenosine triphosphate (ATP), upregulated mitochondrial membrane permeability, intracellular Ca2+ influx, mitochondrial DNA expression, and extracellular ATP. Lysosome excretion was elevated, the number of intracellular lysosomes was diminished, and lysosomal-associated membrane protein 2 was downregulated. Expression of autophagy-related proteins, microtubule-associated protein light chain 3, sequestosome-1, the NLRP3 inflammasome, and interleukin-1β increased with P. gingivalis infection. P. gingivalis may survive in vivo by promoting lysosome efflux, blocking autophagosome-lysosome fusion, and destroying autophagic flux. As a result, ROS and damaged mitochondria accumulated and activated the NLRP3 inflammasome, which recruited the adaptor protein ASC and caspase 1, leading to the production of proinflammatory factor interleukin-1β and inflammation.
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Affiliation(s)
- M Liu
- Department of Periodontology & Tissue Engineering and Regeneration, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - J Shao
- Department of Periodontology & Tissue Engineering and Regeneration, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - Y Zhao
- Department of Periodontology & Tissue Engineering and Regeneration, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - B Ma
- Department of Periodontology & Tissue Engineering and Regeneration, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
| | - S Ge
- Department of Periodontology & Tissue Engineering and Regeneration, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China
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Qiu XY, Wu H, Shao J. TALE-cmap: Protein function prediction based on a TALE-based architecture and the structure information from contact map. Comput Biol Med 2022; 149:105938. [DOI: 10.1016/j.compbiomed.2022.105938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 07/26/2022] [Accepted: 08/06/2022] [Indexed: 11/03/2022]
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10
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Zhang L, Tan SW, Shao J, Shi YP, Su KW, Shan XY, Ye HP. [Meta-analysis on the contents of trace elements in workers with occupational exposure to lead]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2022; 40:347-353. [PMID: 35680577 DOI: 10.3760/cma.j.cn121094-20210207-00085] [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: 06/15/2023]
Abstract
Objective: To quantitatively evaluate the content differences of trace elements in workers with occupational exposure to lead. Methods: In January 2021, relevant literatures on the contents of trace elements in workers with occupational exposure to lead published from 1990 to 2020 were searched through CNKI, Wanfang, VIP, PubMed, web of science and Embase. Screened and extracted the literatures, and evaluated the quality of the included literatures with Newcastle Ottawa Scale. Meta analysis was performed with Review Manager 5.3 software, and standardized mean difference (SMD) and its 95% confidence interval were used as effect indicators. Results: A total of 20 literatures were included, and the quality scores were 5-7. The results of Meta-analysis showed that compared with the control group, the contents of blood zinc (SMD=-1.01, 95%CI: -1.53, -0.49) , hair zinc (SMD=-0.17, 95%CI: -0.33, -0.01) , hair copper (SMD=-0.50, 95%CI: -1.01, 0) , hair iron (SMD=-3.91, 95%CI: -5.80, -2.03) and hair manganese (SMD=-1.09, 95%CI: -2.02, -0.15) in occupational lead exposure group were significantly lower (P<0.05) . Compared with the control group, the content of cobalt in hair of occupational lead exposure group (SMD=1.41, 95%CI: 0.72, 2.10) was higher, and the difference was statistically significant (P<0.05) . There was no significant difference in the contents of blood chromium, blood copper, blood iron, blood manganese, blood selenium and hair nickel between the two groups (P>0.05) . Conclusion: Workers with occupational exposure to lead have abnormal trace elements.
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Affiliation(s)
- L Zhang
- Hangzhou Hospital for Prevention and Treatment of Occupational Disease, Department of Sanitation Test, Hangzhou 310014, China
| | - S W Tan
- Hangzhou Hospital for Prevention and Treatment of Occupational Disease, Department of Sanitation Test, Hangzhou 310014, China
| | - J Shao
- Hangzhou Hospital for Prevention and Treatment of Occupational Disease, Department of Sanitation Test, Hangzhou 310014, China
| | - Y P Shi
- Hangzhou Hospital for Prevention and Treatment of Occupational Disease, Department of Sanitation Test, Hangzhou 310014, China
| | - K W Su
- Hangzhou Hospital for Prevention and Treatment of Occupational Disease, Department of Sanitation Test, Hangzhou 310014, China
| | - X Y Shan
- Hangzhou Hospital for Prevention and Treatment of Occupational Disease, Department of Sanitation Test, Hangzhou 310014, China
| | - H P Ye
- Hangzhou Hospital for Prevention and Treatment of Occupational Disease, Department of Sanitation Test, Hangzhou 310014, China
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Colevas A, Park J, Fang B, Shao J, U'Ren L, Odegard J, Lal I, Phan M, Thein K, Adkins D. A Phase 2 Study of Magrolimab Combination Therapy in Patients with Recurrent or Metastatic Head and Neck Squamous-Cell Carcinoma. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2021.12.099] [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: 10/18/2022]
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12
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Chen T, Zhang Z, Lei H, Fen Z, Yuan Y, Jin X, Zhou H, Liu J, Wang W, Guo Q, Li L, Shao J. The relationship between serum 25-hydroxyvitamin-D level and sweat function in patients with type 2 diabetes mellitus. J Endocrinol Invest 2022; 45:361-368. [PMID: 34324162 DOI: 10.1007/s40618-021-01651-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 07/24/2021] [Indexed: 10/20/2022]
Abstract
AIMS The objective of this study is to explore the relationship between serum 25-hydroxyvitamin-D(25-(OH)2D3) level and sweat function in patients with type 2 diabetes mellitus (T2DM). METHODS A cross-sectional study of 1021 patients with T2DM who underwent 25-(OH)2D3 level detections and sweat function tests was carried out. These individuals were divided into deficient groups (n = 154 cases), insufficient groups (n = 593 cases) and sufficient groups (n = 274 cases). Spearman correlation analysis and multivariate stepwise linear regression analysis were implemented to determine the association of 25-(OH)2D3 level and sweat function. RESULTS The total presence of sweating dysfunction was 38.59%. Patients with a lower level of serum 25-(OH)2D3 had more severe sweat secretion impairment (P < 0.05). As the decrease of serum 25-(OH)2D3 level, the presence of sweating dysfunction increased (P < 0.05). 25-(OH)2D3 level was positively correlated with sweat function parameters, age and duration of T2DM were negatively correlated with sweat function parameter (P < 0.05). Multivariate stepwise linear regression analysis explored a significant association between serum 25-(OH)2D3 level with sweat function (P < 0.05). CONCLUSIONS Serum 25-(OH)2D3 level was positively correlated with sweat function in patients with T2DM.
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Affiliation(s)
- T Chen
- Department of Endocrinology, Jinling Hospital, Nanjing Medical University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China
| | - Z Zhang
- The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - H Lei
- Department of Endocrinology, Jinling Hospital, Southern Medical University, Nanjing, China
| | - Z Fen
- Department of Endocrinology, Jinling Hospital, Southern Medical University, Nanjing, China
| | - Y Yuan
- Department of Endocrinology, Jinling Hospital, Nanjing Medical University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China
| | - X Jin
- Department of Endocrinology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China
| | - H Zhou
- Department of Endocrinology, Jinling Hospital, Southern Medical University, Nanjing, China
| | - J Liu
- Department of Endocrinology, Jinling Hospital, Southern Medical University, Nanjing, China
| | - W Wang
- Department of Endocrinology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China
| | - Q Guo
- Department of Endocrinology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China
| | - L Li
- Department of Endocrinology, Chinese Navy No.971.Hospital, 22Minjiang Road, Qingdao, 266000, Shandong, China.
| | - J Shao
- Department of Endocrinology, Jinling Hospital, Nanjing Medical University, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
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Ye HP, Shao J, Tan SW, Shi YP, Su KW, Zhang L. [Determination of methyl isobutyl ketone in urine by headspace coupled with gas chromatography-mass spectrometry]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2022; 40:65-68. [PMID: 35255567 DOI: 10.3760/cma.j.cn121094-20201130-00658] [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: 06/14/2023]
Abstract
Objective: To establish a method for the determination of methyl isobutyl ketone (MIBK) in urine samples by headspace-gas chromatography-mass spectrometry. Methods: Automatic headspace sampling technique was adopted to optimize the headspace conditions (headspace bottle heating temperature and equilibration time) and gas chromatographic conditions. A total of 5 ml samples were taken and added with 3.0 g ammonium sulfate into a 20 ml headspace bottle. After heated at 60 ℃ for 30 mins, gas from the upper part of headspace bottle was injected into gas chromatography with an injection volume of 100 μl. The target was separated by HP-5MS UI (30 m×0.25 mm×0.25 μm) capillary column and then detected by mass spectrometry detector. The retention time and external standard method were used for qualitative and quantitative analysis of MIBK in samples, respectively. Results: The standard curve of MIBK showed significant linearity between 20.0-1 000.0 μg/L. The standard curve was y=62.9x-652.5, and the correlation coefficient r=0.9998. The detection limit of MIBK was 5.0 μg/L and the quantification limit of MIBK was 16.0 μg/L. The average recovery rate was 95.3%~100.2% at three spiked concentrations of low (50.0 μg/L) , medium (200.0 μg/L) and high (500.0 μg/L) . The intra-day and inter-day precisions were 1.7%~3.8% (n=6) and 1.2%~4.0% (n=6) respectively. This method was stable for the determination of MIBK, and the urine could be kept 14 d at -20 ℃ without significantly loss. Conclusion: This method is proved to be simple, practical and highly sensitive. It can satisfy the request for the determination of urine samples of workers exposed to MIBK.
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Affiliation(s)
- H P Ye
- Department of Sanitary Analysis, Hangzhou Occupational Disease Prevention and Control Hospital, Hangzhou 310014, China
| | - J Shao
- Department of Sanitary Analysis, Hangzhou Occupational Disease Prevention and Control Hospital, Hangzhou 310014, China
| | - S W Tan
- Department of Sanitary Analysis, Hangzhou Occupational Disease Prevention and Control Hospital, Hangzhou 310014, China
| | - Y P Shi
- Department of Sanitary Analysis, Hangzhou Occupational Disease Prevention and Control Hospital, Hangzhou 310014, China
| | - K W Su
- Department of Sanitary Analysis, Hangzhou Occupational Disease Prevention and Control Hospital, Hangzhou 310014, China
| | - L Zhang
- Department of Sanitary Analysis, Hangzhou Occupational Disease Prevention and Control Hospital, Hangzhou 310014, China
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Pan HD, Zhang Y, Tang H, Yang JLX, Feng WW, Mu LJ, Yan DM, Shao J, Wang H, Gao XT, Zhu RK, Huang GW, Zhao DM, Luo Y, Lyu LQ, Sun J, Yang J, Yan SQ, Wang NR, Wang H. [Studies of the norm of Karitane Parenting Confidence Scale(KPCS)among parents of infants in urban areas of China]. Zhonghua Yu Fang Yi Xue Za Zhi 2021; 55:1209-1213. [PMID: 34706506 DOI: 10.3760/cma.j.cn112150-20210224-00180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To establish the norm of the Chinese version of Karitane Parenting Confidence Scale (KPCS) in urban areas of China. Methods: From August to December 2017, the parents of 2 216 children (<36 months old) were selected from 15 cities (Beijing, Lianyungang, Hangzhou, Chengdu, Xi'an, Guangzhou, Changsha, Jinan, Guiyang, Ningbo, Dalian, Qinhuangdao, Maanshan, Chongqing and Wuhan) in 14 provinces by stratified random sampling. The general demographic characteristics and parents' parenting confidence were collected by a self-made questionnaire and KPCS Chinese version. The percentile norm was established. P3, P10 and P25 were used as the criteria to define the degree of lack of parenting confidence. Results: The age of mothers was (30.67±4.29). The age of the father was (32.50±4.99) years old. There were 726 (32.76%), 759 (34.25%) and 731 (32.99%) infants in 6-12, 12-23 and 24-35 months old groups. The total scores of P50, P25, P10 and P3 of KPCS (Chinese version) of infant parents in urban areas in China were 41, 38, 33, and 29 respectively. When the scores of parents were 34-37, 30-33, and ≤ 29, they were judged as mild, moderate, and severe lack of parenting confidence. There was no significant difference in the Chinese version of KPCS between parents of different age groups and parents of different gender (χ²=3.53, P=0.171; χ²=1.41, P=0.236). Each factor score≤P3 is defined as the boundary score, and the corresponding boundary scores of "parenting" "support" and "competence" were 13, 9, and 5 respectively. Conclusion: The Chinese version of KPCS can be used to assess the parenting confidence of infants in urban areas of China. It can used as one of the bases for scientific and objective evaluation of the parenting status of families.
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Affiliation(s)
- H D Pan
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - Y Zhang
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - H Tang
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - J L X Yang
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - W W Feng
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - L J Mu
- Early Childhood Integrated Development Service Center,Fangshan District Maternal and Child Health Hospital, Beijing 102488, China
| | - D M Yan
- Child Growth & Development,Lianyungang Maternal and Child Health Hospital, Lianyungang 222000, China
| | - J Shao
- Children's Health Care Department, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - H Wang
- Children's Health Care Department, Sichuan Province Maternal and Child Health Hospital, Chengdu 610031, China
| | - X T Gao
- Children's Health Care Department, Northwest Women and Children's Hospital, Xi'an 710061, China
| | - R K Zhu
- Children's Health Care Department, Guangdong Province Maternal and Child Health Hospital, Guangzhou 510010, China
| | - G W Huang
- Children's Health Care Department, Hunan Province Maternal and Child Health Hospital, Changsha 410008, China
| | - D M Zhao
- Children's Health Care Department, Qilu Children's Hospital of Shandong University, Jinan 250022, China
| | - Y Luo
- Children's Health Care Department, Guiyang Maternal and Child Health Hospital, Guiyang 550003, China
| | - L Q Lyu
- Children's Health Care Department, Ningbo Women and Children's Hospital, Ningbo 315000, China
| | - J Sun
- Children's Health Care Department, Dalian Maternal and Child Health Hospital, Dalian 116033, China
| | - J Yang
- Children's Health Care Department, Qinhuangdao Maternal and Child Health Hospital, Qinhuangdao 066001, China
| | - S Q Yan
- Children's Health Care Department, Maanshan Maternal and Child Health Hospital, Maanshan 243011, China
| | - N R Wang
- Children's Health Care Department, Chongqing Maternal and Child Health Hospital, Chongqing 400013, China
| | - H Wang
- Children's Health Care Department, Hubei Province Maternal and Child Health Hospital, Wuhan 430070, China
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Lu S, Cheng Y, Huang D, Sun Y, Wu L, Zhou C, Zhou J, Guo Y, Chen L, Shao J. MA02.01 Efficacy and Safety of Selpercatinib in Chinese Patients With RET Fusion-Positive Non-Small Cell Lung Cancer: A Phase 2 Trial. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.111] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Chen J, Wang W, Guo Z, Huang S, Lei H, Zang P, Lu B, Shao J, Gu P. Associations between gut microbiota and thyroidal function status in Chinese patients with Graves' disease. J Endocrinol Invest 2021; 44:1913-1926. [PMID: 33481211 DOI: 10.1007/s40618-021-01507-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 01/09/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The imbalance of gut microbiota has been linked to manifold endocrine diseases, but the association with Graves' disease (GD) is still unclear. The purpose of this study was to investigate the correlation between human gut microbiota and clinical characteristics and thyroidal functional status of GD. METHODS 14 healthy volunteers (CG) and 15 patients with primary GD (HG) were recruited as subjects. 16SrDNA high-throughput sequencing was performed on IlluminaMiSeq platform to analyze the characteristics of gut microbiota in patients with GD. Among them, the thyroid function of 13 patients basically recovered after treatment with anti-thyroid drugs (oral administration of Methimazole for 3-5 months). The fecal samples of patients after treatment (TG) were sequenced again, to further explore and investigate the potential relationship between dysbacteriosis and GD. RESULTS In terms of alpha diversity index, the observed OTUs, Simpson and Shannon indices of gut microbiota in patients with GD were significantly lower than those in healthy volunteers (P < 0.05).The difference of bacteria species was mainly reflected in the genus level, in which the relative abundance of Lactobacillus, Veillonella and Streptococcus increased significantly in GD. After the improvement of thyroid function, a significant reduction at the genus level were Blautia, Corynebacter, Ruminococcus and Streptococcus, while Phascolarctobacterium increased significantly (P < 0.05). According to Spearman correlation analysis, the correlation between the level of thyrotropin receptor antibody (TRAb) and the relative abundance of Lactobacillus and Ruminococcus was positive, while Synergistetes and Phascolarctobacterium showed a negative correlation with TRAb. Besides, there were highly significant negative correlation between Synergistetes and clinical variables of TRAb, TPOAb and TGAb (P < 0.05, R < - 0.6). CONCLUSIONS This study revealed that functional status and TRAb level in GD were associated with composition and biological function in the gut microbiota, with Synergistetes and Phascolarctobacterium protecting the thyroid probably, while Ruminococcus and Lactobacillus may be novel biomarkers of GD.
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Affiliation(s)
- J Chen
- Department of Endocrinology, Jinling Hospital, Southeast Univ, Sch Med, Nanjing, China
| | - W Wang
- Department of Endocrinology, Jinling Hospital, Nanjing Univ, Sch Med, Nanjing, China
| | - Z Guo
- Department of Endocrinology, Jinling Hospital, Nanjing Med Univ, Nanjing, China
| | - S Huang
- Department of Endocrinology, Jinling Hospital, Nanjing Univ, Sch Med, Nanjing, China
| | - H Lei
- Department of Endocrinology, Jinling Hospital, Southern Medical University, Nanjing, China
| | - P Zang
- Department of Endocrinology, Jinling Hospital, Nanjing Univ, Sch Med, Nanjing, China
| | - B Lu
- Department of Endocrinology, Jinling Hospital, Nanjing Univ, Sch Med, Nanjing, China
| | - J Shao
- Department of Endocrinology, Jinling Hospital, Nanjing Univ, Sch Med, Nanjing, China.
| | - P Gu
- Department of Endocrinology, Jinling Hospital, Nanjing Univ, Sch Med, Nanjing, China.
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Shao J, Chen J, Liu B. ProtRe-CN: Protein Remote Homology Detection by Combining Classification Methods and Network Methods via Learning to Rank. IEEE/ACM Trans Comput Biol Bioinform 2021; PP:1-1. [PMID: 34460380 DOI: 10.1109/tcbb.2021.3108168] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Protein remote homology detection is one of fundamental research tasks for downstream analysis (i.e., protein structure and function prediction). Many advanced methods are proposed from different views with complementary detection ability, such as the classification method, the network method, and the ranking method. A framework integrating these heterogeneous methods is urgently desired to reduce the false positive rate and predictive bias. We propose a novel ranking method called ProtRe-CN by fusing the classification methods and network methods via Learning to Rank. Experimental results on the benchmark dataset and the independent dataset show that ProtRe-CN outperforms other existing state-of-the-art predictors. ProtRe-CN improves the detective performance via correcting the false positives in the ranking list by combining the heterogeneous methods. The web server of ProtRe-CN can be accessed at http://bliulab.net/ProtRe-CN.
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Xu LY, Lai ZC, Shao J, Li K, Zhang X, Ma JY, Liu B. [Endovascular treatment strategies for distal entry tear of Stanford type B aortic dissection]. Zhonghua Wai Ke Za Zhi 2021; 59:711-715. [PMID: 34192865 DOI: 10.3760/cma.j.cn112139-20201011-00746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Currently, thoracic endovascular aortic repair (TEVAR) is the first-line treatment for patients with complicated Stanford type B aortic dissections. However, TEVAR does not occlude the distal entry tear of dissections, and blood flow persists in the false lumen. Dissections might progress in some patients. Studies showed that distal entry tear increased the possibility of late aortic events during follow-up. Thus, treatment of distal entry tear is necessary in some high-risk patients after TEVAR. In this article, the current treatment strategies of distal entry tear are summarized, which include PETTICOAT, STABILISE, covered stent, fenestrated and branched stent-grafts, false lumen embolization, vascular occluder, and Knickerbocker. However, the number of the cases of most approaches is so limited that the indications and effectiveness need to be further studied. Selecting the right treatment for the right patient is of great importance.
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Affiliation(s)
- L Y Xu
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Z C Lai
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - J Shao
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - K Li
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - X Zhang
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - J Y Ma
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - B Liu
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy Medical Sciences and Peking Union Medical College, Beijing 100730, China
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Amenomori M, Bao YW, Bi XJ, Chen D, Chen TL, Chen WY, Chen X, Chen Y, Cui SW, Ding LK, Fang JH, Fang K, Feng CF, Feng Z, Feng ZY, Gao Q, Gomi A, Gou QB, Guo YQ, Guo YY, He HH, He ZT, Hibino K, Hotta N, Hu H, Hu HB, Huang J, Jia HY, Jiang L, Jiang P, Jin HB, Kasahara K, Katayose Y, Kato C, Kato S, Kawata K, Kozai M, Kurashige D, Le GM, Li AF, Li HJ, Li WJ, Li Y, Lin YH, Liu B, Liu C, Liu JS, Liu LY, Liu MY, Liu W, Liu XL, Lou YQ, Lu H, Meng XR, Munakata K, Nakada H, Nakamura Y, Nakazawa Y, Nanjo H, Ning CC, Nishizawa M, Ohnishi M, Ohura T, Okukawa S, Ozawa S, Qian L, Qian X, Qian XL, Qu XB, Saito T, Sakata M, Sako T, Sako TK, Shao J, Shibata M, Shiomi A, Sugimoto H, Takano W, Takita M, Tan YH, Tateyama N, Torii S, Tsuchiya H, Udo S, Wang H, Wang YP, Wu HR, Wu Q, Xu JL, Xue L, Yamamoto Y, Yang Z, Yao YQ, Yin J, Yokoe Y, Yu NP, Yuan AF, Zhai LM, Zhang CP, Zhang HM, Zhang JL, Zhang X, Zhang XY, Zhang Y, Zhang Y, Zhang Y, Zhao SP, Zhou XX. Gamma-Ray Observation of the Cygnus Region in the 100-TeV Energy Region. Phys Rev Lett 2021; 127:031102. [PMID: 34328784 DOI: 10.1103/physrevlett.127.031102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/30/2021] [Accepted: 06/15/2021] [Indexed: 06/13/2023]
Abstract
We report observations of gamma-ray emissions with energies in the 100-TeV energy region from the Cygnus region in our Galaxy. Two sources are significantly detected in the directions of the Cygnus OB1 and OB2 associations. Based on their positional coincidences, we associate one with a pulsar PSR J2032+4127 and the other mainly with a pulsar wind nebula PWN G75.2+0.1, with the pulsar moving away from its original birthplace situated around the centroid of the observed gamma-ray emission. This work would stimulate further studies of particle acceleration mechanisms at these gamma-ray sources.
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Affiliation(s)
- M Amenomori
- Department of Physics, Hirosaki University, Hirosaki 036-8561, Japan
| | - Y W Bao
- School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China
| | - X J Bi
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - D Chen
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - T L Chen
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - W Y Chen
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Xu Chen
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y Chen
- School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China
| | - S W Cui
- Department of Physics, Hebei Normal University, Shijiazhuang 050016, China
| | - L K Ding
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J H Fang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - K Fang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - C F Feng
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
| | - Zhaoyang Feng
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Z Y Feng
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
| | - Qi Gao
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - A Gomi
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - Q B Gou
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y Q Guo
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y Y Guo
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - H H He
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Z T He
- Department of Physics, Hebei Normal University, Shijiazhuang 050016, China
| | - K Hibino
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - N Hotta
- Faculty of Education, Utsunomiya University, Utsunomiya 321-8505, Japan
| | - Haibing Hu
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - H B Hu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J Huang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - H Y Jia
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
| | - L Jiang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - P Jiang
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - H B Jin
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - K Kasahara
- Faculty of Systems Engineering, Shibaura Institute of Technology, Omiya 330-8570, Japan
| | - Y Katayose
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - C Kato
- Department of Physics, Shinshu University, Matsumoto 390-8621, Japan
| | - S Kato
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - K Kawata
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - M Kozai
- Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (ISAS/JAXA), Sagamihara 252-5210, Japan
| | - D Kurashige
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - G M Le
- National Center for Space Weather, China Meteorological Administration, Beijing 100081, China
| | - A F Li
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
- School of Information Science and Engineering, Shandong Agriculture University, Taian 271018, China
| | - H J Li
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - W J Li
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
| | - Y Li
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - Y H Lin
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - B Liu
- Department of Astronomy, School of Physical Sciences, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - C Liu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J S Liu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - L Y Liu
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - M Y Liu
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - W Liu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - X L Liu
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - Y-Q Lou
- Department of Physics and Tsinghua Centre for Astrophysics (THCA), Tsinghua University, Beijing 100084, China
- Tsinghua University-National Astronomical Observatories of China (NAOC) Joint Research Center for Astrophysics, Tsinghua University, Beijing 100084, China
- Department of Astronomy, Tsinghua University, Beijing 100084, China
| | - H Lu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - X R Meng
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - K Munakata
- Department of Physics, Shinshu University, Matsumoto 390-8621, Japan
| | - H Nakada
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - Y Nakamura
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - Y Nakazawa
- College of Industrial Technology, Nihon University, Narashino 275-8575, Japan
| | - H Nanjo
- Department of Physics, Hirosaki University, Hirosaki 036-8561, Japan
| | - C C Ning
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - M Nishizawa
- National Institute of Informatics, Tokyo 101-8430, Japan
| | - M Ohnishi
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - T Ohura
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - S Okukawa
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - S Ozawa
- National Institute of Information and Communications Technology, Tokyo 184-8795, Japan
| | - L Qian
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - X Qian
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - X L Qian
- Department of Mechanical and Electrical Engineering, Shangdong Management University, Jinan 250357, China
| | - X B Qu
- College of Science, China University of Petroleum, Qingdao 266555, China
| | - T Saito
- Tokyo Metropolitan College of Industrial Technology, Tokyo 116-8523, Japan
| | - M Sakata
- Department of Physics, Konan University, Kobe 658-8501, Japan
| | - T Sako
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - T K Sako
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - J Shao
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
| | - M Shibata
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - A Shiomi
- College of Industrial Technology, Nihon University, Narashino 275-8575, Japan
| | - H Sugimoto
- Shonan Institute of Technology, Fujisawa 251-8511, Japan
| | - W Takano
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - M Takita
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - Y H Tan
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - N Tateyama
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - S Torii
- Research Institute for Science and Engineering, Waseda University, Tokyo 162-0044, Japan
| | - H Tsuchiya
- Japan Atomic Energy Agency, Tokai-mura 319-1195, Japan
| | - S Udo
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - H Wang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y P Wang
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - H R Wu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Q Wu
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - J L Xu
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - L Xue
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
| | - Y Yamamoto
- Department of Physics, Konan University, Kobe 658-8501, Japan
| | - Z Yang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y Q Yao
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - J Yin
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - Y Yokoe
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - N P Yu
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - A F Yuan
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - L M Zhai
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - C P Zhang
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - H M Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J L Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - X Zhang
- School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China
| | - X Y Zhang
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
| | - Y Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Yi Zhang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210034, China
| | - Ying Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - S P Zhao
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - X X Zhou
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
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20
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Shao J, Yan K, Liu B. FoldRec-C2C: protein fold recognition by combining cluster-to-cluster model and protein similarity network. Brief Bioinform 2021; 22:5873289. [PMID: 32685972 PMCID: PMC7454262 DOI: 10.1093/bib/bbaa144] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 05/26/2020] [Accepted: 06/11/2020] [Indexed: 12/27/2022] Open
Abstract
As a key for studying the protein structures, protein fold recognition is playing an important role in predicting the protein structures associated with COVID-19 and other important structures. However, the existing computational predictors only focus on the protein pairwise similarity or the similarity between two groups of proteins from 2-folds. However, the homology relationship among proteins is in a hierarchical structure. The global protein similarity network will contribute to the performance improvement. In this study, we proposed a predictor called FoldRec-C2C to globally incorporate the interactions among proteins into the prediction. For the FoldRec-C2C predictor, protein fold recognition problem is treated as an information retrieval task in nature language processing. The initial ranking results were generated by a surprised ranking algorithm Learning to Rank, and then three re-ranking algorithms were performed on the ranking lists to adjust the results globally based on the protein similarity network, including seq-to-seq model, seq-to-cluster model and cluster-to-cluster model (C2C). When tested on a widely used and rigorous benchmark dataset LINDAHL dataset, FoldRec-C2C outperforms other 34 state-of-the-art methods in this field. The source code and data of FoldRec-C2C can be downloaded from http://bliulab.net/FoldRec-C2C/download.
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Affiliation(s)
- Jiangyi Shao
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
| | - Ke Yan
- School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China
| | - Bin Liu
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
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21
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Amenomori M, Bao YW, Bi XJ, Chen D, Chen TL, Chen WY, Chen X, Chen Y, Cui SW, Ding LK, Fang JH, Fang K, Feng CF, Feng Z, Feng ZY, Gao Q, Gou QB, Guo YQ, Guo YY, He HH, He ZT, Hibino K, Hotta N, Hu H, Hu HB, Huang J, Jia HY, Jiang L, Jin HB, Kasahara K, Katayose Y, Kato C, Kato S, Kawata K, Kihara W, Ko Y, Kozai M, Le GM, Li AF, Li HJ, Li WJ, Lin YH, Liu B, Liu C, Liu JS, Liu MY, Liu W, Lou YQ, Lu H, Meng XR, Munakata K, Nakada H, Nakamura Y, Nanjo H, Nishizawa M, Ohnishi M, Ohura T, Ozawa S, Qian XL, Qu XB, Saito T, Sakata M, Sako TK, Shao J, Shibata M, Shiomi A, Sugimoto H, Takano W, Takita M, Tan YH, Tateyama N, Torii S, Tsuchiya H, Udo S, Wang H, Wu HR, Xue L, Yamamoto Y, Yang Z, Yokoe Y, Yuan AF, Zhai LM, Zhang HM, Zhang JL, Zhang X, Zhang XY, Zhang Y, Zhang Y, Zhang Y, Zhao SP, Zhou XX. First Detection of sub-PeV Diffuse Gamma Rays from the Galactic Disk: Evidence for Ubiquitous Galactic Cosmic Rays beyond PeV Energies. Phys Rev Lett 2021; 126:141101. [PMID: 33891464 DOI: 10.1103/physrevlett.126.141101] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 01/05/2021] [Accepted: 01/21/2021] [Indexed: 06/12/2023]
Abstract
We report, for the first time, the long-awaited detection of diffuse gamma rays with energies between 100 TeV and 1 PeV in the Galactic disk. Particularly, all gamma rays above 398 TeV are observed apart from known TeV gamma-ray sources and compatible with expectations from the hadronic emission scenario in which gamma rays originate from the decay of π^{0}'s produced through the interaction of protons with the interstellar medium in the Galaxy. This is strong evidence that cosmic rays are accelerated beyond PeV energies in our Galaxy and spread over the Galactic disk.
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Affiliation(s)
- M Amenomori
- Department of Physics, Hirosaki University, Hirosaki 036-8561, Japan
| | - Y W Bao
- School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China
| | - X J Bi
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - D Chen
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - T L Chen
- Physics Department of Science School, Tibet University, Lhasa 850000, China
| | - W Y Chen
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Xu Chen
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y Chen
- School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China
| | - S W Cui
- Department of Physics, Hebei Normal University, Shijiazhuang 050016, China
| | - L K Ding
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J H Fang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - K Fang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - C F Feng
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
| | - Zhaoyang Feng
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Z Y Feng
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
| | - Qi Gao
- Physics Department of Science School, Tibet University, Lhasa 850000, China
| | - Q B Gou
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y Q Guo
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y Y Guo
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - H H He
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Z T He
- Department of Physics, Hebei Normal University, Shijiazhuang 050016, China
| | - K Hibino
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - N Hotta
- Faculty of Education, Utsunomiya University, Utsunomiya 321-8505, Japan
| | - Haibing Hu
- Physics Department of Science School, Tibet University, Lhasa 850000, China
| | - H B Hu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J Huang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - H Y Jia
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
| | - L Jiang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - H B Jin
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - K Kasahara
- Faculty of Systems Engineering, Shibaura Institute of Technology, Omiya 330-8570, Japan
| | - Y Katayose
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - C Kato
- Department of Physics, Shinshu University, Matsumoto 390-8621, Japan
| | - S Kato
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - K Kawata
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - W Kihara
- Department of Physics, Shinshu University, Matsumoto 390-8621, Japan
| | - Y Ko
- Department of Physics, Shinshu University, Matsumoto 390-8621, Japan
| | - M Kozai
- Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (ISAS/JAXA), Sagamihara 252-5210, Japan
| | - G M Le
- National Center for Space Weather, China Meteorological Administration, Beijing 100081, China
| | - A F Li
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
- School of Information Science and Engineering, Shandong Agriculture University, Taian 271018, China
| | - H J Li
- Physics Department of Science School, Tibet University, Lhasa 850000, China
| | - W J Li
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
| | - Y H Lin
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - B Liu
- Department of Astronomy, School of Physical Sciences, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - C Liu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J S Liu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - M Y Liu
- Physics Department of Science School, Tibet University, Lhasa 850000, China
| | - W Liu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y-Q Lou
- Department of Physics and Tsinghua Centre for Astrophysics (THCA), Tsinghua University, Beijing 100084, China
- Tsinghua University-National Astronomical Observatories of China (NAOC) Joint Research Center for Astrophysics, Tsinghua University, Beijing 100084, China
- Department of Astronomy, Tsinghua University, Beijing 100084, China
| | - H Lu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - X R Meng
- Physics Department of Science School, Tibet University, Lhasa 850000, China
| | - K Munakata
- Department of Physics, Shinshu University, Matsumoto 390-8621, Japan
| | - H Nakada
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - Y Nakamura
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - H Nanjo
- Department of Physics, Hirosaki University, Hirosaki 036-8561, Japan
| | - M Nishizawa
- National Institute of Informatics, Tokyo 101-8430, Japan
| | - M Ohnishi
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - T Ohura
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - S Ozawa
- National Institute of Information and Communications Technology, Tokyo 184-8795, Japan
| | - X L Qian
- Department of Mechanical and Electrical Engineering, Shandong Management University, Jinan 250357, China
| | - X B Qu
- College of Science, China University of Petroleum, Qingdao, 266555, China
| | - T Saito
- Tokyo Metropolitan College of Industrial Technology, Tokyo 116-8523, Japan
| | - M Sakata
- Department of Physics, Konan University, Kobe 658-8501, Japan
| | - T K Sako
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - J Shao
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
| | - M Shibata
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - A Shiomi
- College of Industrial Technology, Nihon University, Narashino 275-8575, Japan
| | - H Sugimoto
- Shonan Institute of Technology, Fujisawa 251-8511, Japan
| | - W Takano
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - M Takita
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - Y H Tan
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - N Tateyama
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - S Torii
- Research Institute for Science and Engineering, Waseda University, Tokyo 169-8555, Japan
| | - H Tsuchiya
- Japan Atomic Energy Agency, Tokai-mura 319-1195, Japan
| | - S Udo
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - H Wang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - H R Wu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - L Xue
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
| | - Y Yamamoto
- Department of Physics, Konan University, Kobe 658-8501, Japan
| | - Z Yang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y Yokoe
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - A F Yuan
- Physics Department of Science School, Tibet University, Lhasa 850000, China
| | - L M Zhai
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - H M Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J L Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - X Zhang
- School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China
| | - X Y Zhang
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
| | - Y Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Yi Zhang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210034, China
| | - Ying Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - S P Zhao
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - X X Zhou
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
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Xiang C, Han Y, Teng H, Zhu L, Shao J, Zhao J, Ma S, Lin J, Zheng J, Lizaso A. P38.07 Comprehensive Investigation of Mutational Features of Various Lung Adenocarcinoma Histological Subtypes Among Chinese Patients. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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23
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Jin XM, Xu B, Zhang Y, Liu SY, Shao J, Wu L, Tang JA, Yin T, Fan XB, Yang TY. LncRNA SND1-IT1 accelerates the proliferation and migration of osteosarcoma via sponging miRNA-665 to upregulate POU2F1. Eur Rev Med Pharmacol Sci 2020; 23:9772-9780. [PMID: 31799644 DOI: 10.26355/eurrev_201911_19540] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To clarify the role of long non-coding RNA (lncRNA) SND1-IT1 in accelerating the proliferative and migratory abilities of osteosarcoma (OS) via sponging miRNA-665 to upregulate POU2F1. PATIENTS AND METHODS The relative level of SND1-IT1 in OS tissues was determined by quantitative Real Time-Polymerase Chain Reaction (qRT-PCR). The target gene of SND1-IT1 was predicted by bioinformatics and verified by Dual-Luciferase reporter gene assay. Similarly, the target gene of miRNA-665 was identified. Correlation among SND1-IT1, miRNA-665 and POU2F1 was evaluated through linear regression test. Regulatory effects of SND1-IT1/miRNA-665/POU2F1 on cellular behaviors of MG63 and U2OS cells were evaluated. RESULTS SND1-IT1 was upregulated in OS, knockdown of which attenuated proliferative and migratory abilities of OS cells. MiRNA-665 was the target gene of SND1-IT1, which was negatively correlated to SND1-IT1 in OS. POU2F1 was the target gene of miRNA-665. Its level was negatively regulated by miRNA-665 and positively regulated by SND1-IT1. Inhibited proliferative and migratory abilities of OS cells with SND1-IT1 knockdown were partially elevated by transfection of miRNA-665 inhibitor, and further downregulated by POU2F1 knockdown. CONCLUSIONS LncRNA SND1-IT1 accelerates proliferative and migratory abilities of OS via sponging miRNA-665 to upregulate POU2F1, thus stimulating the progression of OS.
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Affiliation(s)
- X-M Jin
- Department of Orthopaedics, Gongli Hospital, the Second Military Medical University, Shanghai, China.
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Wu H, Xu B, Gao Q, Zhou X, Shao J, Liang Z, Ma D. Genetic testing procedures of BRCA1/2 mutation and their disparities: A national survey. Gynecol Oncol 2020. [DOI: 10.1016/j.ygyno.2020.05.670] [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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Shao J, Liu B. ProtFold-DFG: protein fold recognition by combining Directed Fusion Graph and PageRank algorithm. Brief Bioinform 2020; 22:5901980. [PMID: 32892224 DOI: 10.1093/bib/bbaa192] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 07/16/2020] [Accepted: 07/28/2020] [Indexed: 12/27/2022] Open
Abstract
As one of the most important tasks in protein structure prediction, protein fold recognition has attracted more and more attention. In this regard, some computational predictors have been proposed with the development of machine learning and artificial intelligence techniques. However, these existing computational methods are still suffering from some disadvantages. In this regard, we propose a new network-based predictor called ProtFold-DFG for protein fold recognition. We propose the Directed Fusion Graph (DFG) to fuse the ranking lists generated by different methods, which employs the transitive closure to incorporate more relationships among proteins and uses the KL divergence to calculate the relationship between two proteins so as to improve its generalization ability. Finally, the PageRank algorithm is performed on the DFG to accurately recognize the protein folds by considering the global interactions among proteins in the DFG. Tested on a widely used and rigorous benchmark data set, LINDAHL dataset, experimental results show that the ProtFold-DFG outperforms the other 35 competing methods, indicating that ProtFold-DFG will be a useful method for protein fold recognition. The source code and data of ProtFold-DFG can be downloaded from http://bliulab.net/ProtFold-DFG/download.
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Affiliation(s)
- Jiangyi Shao
- School of Computer Science and Technology, Beijing Institute of Technology, China
| | - Bin Liu
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
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Ning SL, Zhu H, Shao J, Liu YC, Lan J, Miao J. MiR-21 inhibitor improves locomotor function recovery by inhibiting IL-6R/JAK-STAT pathway-mediated inflammation after spinal cord injury in model of rat. Eur Rev Med Pharmacol Sci 2020; 23:433-440. [PMID: 30720148 DOI: 10.26355/eurrev_201901_16852] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To investigate the function of miRNA-21 and interleukin-6 receptor/Janus Kinase-Signal transducer and activator of transcription (IL-6R/JAK-STAT) pathway in microglia on inflammatory responses after spinal cord injury (SCI). MATERIALS AND METHODS This study first detected respectively the protein level of inflammatory factor inducible nitric oxide synthase (iNOS) and tumor necrosis factor alpha (TNF-α) by Western blotting after transfection of miR-21 or administration of miR-21 inhibitor in activated microglia cells of rat in vitro. The quantitative Real-time polymerase chain reaction (qRT-PCR) was utilized to detect the expression of IL-6R under two different interventions. Next, we established a model of spinal cord injury in rat and inspected miR-21 and IL-6R in SCI rat by qRT-PCR. In addition, the protein levels of iNOS and TNF-α in SCI rat were detected by Western blotting. MiR-21 inhibitor was injected into the injured area of SCI rat to delve into the function of miR-21 down-expression on iNOS and TNF-α expression by Western blot as well as the RNA levels of IL-6R, JAK and STAT3 by qRT-PCR. Furthermore, the SCI rat with movement and coordination of hindlimbs was observed by Basso-Beattie-Bresnahan locomotor rating scale (BBB scale) after miR-21 down-expression. RESULTS Compared with the microglia transfected with miR-21, the execution of inhibitor in microglia effectively relieved the expression of IL-6R and the breakout of iNOS and TNF-α. Meanwhile, the increase of miR-21 was significantly observed in SCI rat along with significant improvement of inflammatory response-related factors including iNOS and TNF-α. After that, we injected SCI rat with miR-21 inhibitor into the spinal cord injury area and found the inhibition of miR-21 decreased the protein levels of iNOS and TNF-α. Simultaneously, down-expression of miR-21 evidently declined the RNA levels of IL-6R, JAK, and STAT3 in SCI rat. Compared with the sham-operated rat, the movement and coordination of hindlimbs of the SCI group displayed dramatic dysfunction. However, miR-21 down-expression elevated the movement and coordination of hindlimbs of the SCI rat than those of the only injury group. CONCLUSIONS Inhibition of miR-21 can promote the recovery of spinal cord injury by down-regulating IL-6R/JAK-STAT signaling pathway and inhibiting inflammation.
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Affiliation(s)
- S-L Ning
- Department of Spine Surgery, Tianjin Hospital, Tianjin, China.
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Makrinioti H, Mac Donald A, Lu X, Wallace S, Mathew J, Zhang F, Shao J, Bretherton J, Tariq M, Eyre E, Wong A, Pakkiri L, Saxena AK, Wong GW. Intussusception in 2 Children With Severe Acute Respiratory Syndrome Coronavirus-2 Infection. J Pediatric Infect Dis Soc 2020; 9:504-506. [PMID: 32770243 PMCID: PMC7454795 DOI: 10.1093/jpids/piaa096] [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] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 08/04/2020] [Indexed: 02/06/2023]
Abstract
We note that intussusception was likely associated with severe acute respiratory syndrome coronavirus-2 infection in 2 infants in Wuhan and London. The intussusception was reduced by enemas in Wuhan; the outcome was fatal. The intussusception was not reduced by enemas in London and required surgery; the outcome was favorable.
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Affiliation(s)
- Heidi Makrinioti
- West Middlesex University Hospital, Chelsea, and Westminster Hospital NHS Foundation Trust, London, UK,corresponding author: Heidi Makrinioti, e-mail
| | - Alexander Mac Donald
- Wuhan Children’s Hospital, Wuhan, Huazhong University of Science & Technology, Wuhan, China
| | - X Lu
- Wuhan Children’s Hospital, Wuhan, Huazhong University of Science & Technology, Wuhan, China
| | - S Wallace
- West Middlesex University Hospital, Chelsea, and Westminster Hospital NHS Foundation Trust, London, UK
| | - Jobson Mathew
- Chelsea and Westminster Hospital, Chelsea, and Westminster Hospital NHS Foundation Trust, London, UK
| | - F Zhang
- Wuhan Children’s Hospital, Wuhan, Huazhong University of Science & Technology, Wuhan, China
| | - J Shao
- Wuhan Children’s Hospital, Wuhan, Huazhong University of Science & Technology, Wuhan, China
| | - J Bretherton
- Chelsea and Westminster Hospital, Chelsea, and Westminster Hospital NHS Foundation Trust, London, UK
| | - Mehmood Tariq
- Chelsea and Westminster Hospital, Chelsea, and Westminster Hospital NHS Foundation Trust, London, UK
| | - E Eyre
- West Middlesex University Hospital, Chelsea, and Westminster Hospital NHS Foundation Trust, London, UK
| | - A Wong
- West Middlesex University Hospital, Chelsea, and Westminster Hospital NHS Foundation Trust, London, UK
| | - L Pakkiri
- West Middlesex University Hospital, Chelsea, and Westminster Hospital NHS Foundation Trust, London, UK
| | - Amulya K Saxena
- Chelsea and Westminster Hospital, Chelsea, and Westminster Hospital NHS Foundation Trust, London, UK
| | - G W Wong
- Department of Paediatrics, Prince of Wales Hospital, Chinese University of Hong Kong, China
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Xu HY, Shao J, Yin BZ, Zhang LM, Fang JC, Zhang JS, Xia GJ. Bovine bta-microRNA-1271 Promotes Preadipocyte Differentiation by Targeting Activation Transcription Factor 3. Biochemistry Moscow 2020; 85:749-757. [DOI: 10.1134/s0006297920070032] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Abstract
Objective: To explore the predictive values of routine blood test results for iron deficiency (ID) screening in children. Methods: Routine blood test results and serum ferritin (SF) levels from 1 443 healthy children (862 boys, 581 girls) aged 6 months to 18 years, who were seen for well-child visits between June 2017 and May 2019 in Children's Hospital, Zhejiang University School of Medicine, were retrospectively analyzed. ID was defined as SF<20 μg/L, iron deficiency anemia (IDA) as ID with anemia (hemoglobin(Hb)<110 g/L at 6 months-5 years of age, Hb<120 g/L at 6-18 years of age), non-anemia ID as ID without anemia, non-ID anemia as SF≥20 μg/L with anemia, and healthy control subjects as those with SF≥20 μg/L but without anemia. The blood test results including Hb, mean corpuscular volume (MCV), mean corpuscular hemoglobin concentration (MCHC), red blood cell distribution width (RDW), and the percentage of low hemoglobin density (LHD) of healthy control, non-anemia ID, non-ID anemia, and IDA groups were compared by analysis of variance (ANOVA) or non-parametric test, quantitative data were described as x±s or M(interquartile range), and receiver operating characteristic curve (ROC) analysis was applied to assess predictive values of routine blood test results and LHD for detecting IDA and ID. Results: Among 1 443 children with median age of 2.1(3.3) years, 1 061 children were in healthy control group, 292 in non-anemia ID group, 43 in non-ID anemia group and 47 in IDA group. The prevalence of ID was much higher than that of anemia (23.5% (339/1 443) vs. 6.2% (90/1 443) , χ(2)=169.76, P<0.01). Compared with control group, non-anemia ID group showed higher LHD (0.088 (0.093) vs.0.073 (0.068), P<0.01) and RDW (0.131±0.013 vs. 0.126±0.008, P<0.01), lower MCV ((80±4) vs. (83±4) fl, P<0.01) and MCHC values ((326±9) vs. (329±8) g/L, P<0.01). IDA group showed higher LHD (0.322(0.544)) and RDW (0.151±0.018), lower MCV ((73±6) fl) and MCHC values((309±14) g/L) than non-anemia ID group (all P<0.01). The area under curve (AUC) values of MCHC, LHD, RDW and MCV for detecting ID were 0.63 (95%CI: 0.60-0.67), 0.63 (95%CI:0.60-0.67), 0.67 (95%CI: 0.63-0.70) and 0.73 (95%CI: 0.69-0.76) respectively. With cutoff limits (MCV<80.2 fl, RDW>0.131 or MCHC<322 g/L), MCV, RDW and MCHC showed higher sensitivity for screening ID than hemoglobin (0.540, 0.469 and 0.336 vs. 0.139, χ(2)=121.70, 87.47, 35.56, all P<0.01). Conclusion: MCV, RDW and MCHC can be used to screen ID in primary health care settings.
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Affiliation(s)
- J Y Zhan
- Department of Pediatric Health Care, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310003, China
| | - S S Zheng
- Department of Pediatric Health Care, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310003, China
| | - W W Dong
- Department of Pediatric Health Care, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310003, China
| | - J Shao
- Department of Pediatric Health Care, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310003, China
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30
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Zhan JY, Shao J. [The early detection and intervention of iron deficiency in infant]. Zhonghua Er Ke Za Zhi 2019; 57:813-815. [PMID: 31594073 DOI: 10.3760/cma.j.issn.0578-1310.2019.10.019] [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: 06/10/2023]
Affiliation(s)
- J Y Zhan
- Division of Child Health Care, Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
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Ning T, Shao J, Zhang X, Luo X, Huang X, Wu H, Xu S, Wu B, Ma D. Ageing affects the proliferation and mineralization of rat dental pulp stem cells under inflammatory conditions. Int Endod J 2019; 53:72-83. [PMID: 31419325 DOI: 10.1111/iej.13205] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [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: 04/18/2019] [Accepted: 08/13/2019] [Indexed: 02/06/2023]
Abstract
AIM To comparatively evaluate changes in the proliferation and mineralization abilities of dental pulp stem cells (DPSCs) from juvenile and adult rats in a lipopolysaccharide (LPS)-induced inflammatory microenvironment to provide a theoretical basis for the age-related differences observed in DPSCs during repair of inflammatory injuries. METHODOLOGY DPSCs were isolated from juvenile (JDPSCs) and adult rats (ADPSCs), and senescence-associated β-galactosidase staining was used to compare senescence between JDPSCs and ADPSCs. Effects of LPS on JDPSCs and ADPSCs proliferation were investigated by cell counting kit-8 assays and flow cytometry. Alizarin red staining, quantitative reverse transcription polymerase chain reaction and Western blot assay were used to examine the effects of LPS on mineralization-related genes and proteins in JDPSCs and ADPSCs. Immunohistochemistry was used to compare interleukin-1β (IL-1β) and osteocalcin (OCN) expression in the pulpitis model. Unpaired Student's t-tests and one-way anova were used for statistical analysis. RESULTS DPSCs were isolated from juvenile and adult rat dental pulp tissues. At low concentrations (0.1-1 μg mL-1 ), LPS significantly promoted the proliferation of JDPSCs (P < 0.01) and ADPSCs (P < 0.01 or P < 0.05), with the effect being stronger in JDPSCs than in ADPSCs. In addition, mineralized nodules and the expression of mineralization-related genes (OCN, DSPP, ALP, BSP) increased significantly after stimulation with LPS (0.5 μg mL-1 ) in JDPSCs and ADPSCs (P < 0.01 or P < 0.05), and JDPSCs displayed a more obvious increase than ADPSCs. Western blots revealed OCN and ALP expression levels in JDPSCs treated with LPS were significantly upregulated (P < 0.05); meanwhile, ALP expression in ADPSCs increased slightly but significantly (P < 0.05), and OCN expression was not affected. Finally, IL-1β expression was significantly higher (P < 0.05) and OCN expression was significantly lower (P < 0.05) in the inflamed dental pulp of adult rats than in juvenile rats. CONCLUSIONS A certain degree of inflammatory stimulation promoted the proliferation and mineralization of DPSCs; however, this effect declined with age. The DPSCs of adult donors in an inflammatory microenvironment have a weaker repair ability than that of juvenile donors, who are better candidates for tissues damage repair.
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Affiliation(s)
- T Ning
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,College of Stomatology, Southern Medical University, Guangzhou, China.,Department of Endodontics, Stomatological Hospital, Southern Medical University, Guangzhou, China
| | - J Shao
- Department of Stomatology, Guangzhou Hospital of Integrated Traditional and West Medicine, Guangzhou, China
| | - X Zhang
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,College of Stomatology, Southern Medical University, Guangzhou, China
| | - X Luo
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,College of Stomatology, Southern Medical University, Guangzhou, China
| | - X Huang
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,College of Stomatology, Southern Medical University, Guangzhou, China
| | - H Wu
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,College of Stomatology, Southern Medical University, Guangzhou, China
| | - S Xu
- College of Stomatology, Southern Medical University, Guangzhou, China.,Department of Endodontics, Stomatological Hospital, Southern Medical University, Guangzhou, China
| | - B Wu
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,College of Stomatology, Southern Medical University, Guangzhou, China
| | - D Ma
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.,College of Stomatology, Southern Medical University, Guangzhou, China
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32
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Amenomori M, Bao YW, Bi XJ, Chen D, Chen TL, Chen WY, Chen X, Chen Y, Cui SW, Ding LK, Fang JH, Fang K, Feng CF, Feng Z, Feng ZY, Gao Q, Gou QB, Guo YQ, He HH, He ZT, Hibino K, Hotta N, Hu H, Hu HB, Huang J, Jia HY, Jiang L, Jin HB, Kajino F, Kasahara K, Katayose Y, Kato C, Kato S, Kawata K, Kozai M, Le GM, Li AF, Li HJ, Li WJ, Lin YH, Liu B, Liu C, Liu JS, Liu MY, Lou YQ, Lu H, Meng XR, Mitsui H, Munakata K, Nakamura Y, Nanjo H, Nishizawa M, Ohnishi M, Ohta I, Ozawa S, Qian XL, Qu XB, Saito T, Sakata M, Sako TK, Sengoku Y, Shao J, Shibata M, Shiomi A, Sugimoto H, Takita M, Tan YH, Tateyama N, Torii S, Tsuchiya H, Udo S, Wang H, Wu HR, Xue L, Yagisawa K, Yamamoto Y, Yang Z, Yuan AF, Zhai LM, Zhang HM, Zhang JL, Zhang X, Zhang XY, Zhang Y, Zhang Y, Zhang Y, Zhou XX. First Detection of Photons with Energy beyond 100 TeV from an Astrophysical Source. Phys Rev Lett 2019; 123:051101. [PMID: 31491288 DOI: 10.1103/physrevlett.123.051101] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 05/21/2019] [Indexed: 06/10/2023]
Abstract
We report on the highest energy photons from the Crab Nebula observed by the Tibet air shower array with the underground water-Cherenkov-type muon detector array. Based on the criterion of a muon number measured in an air shower, we successfully suppress 99.92% of the cosmic-ray background events with energies E>100 TeV. As a result, we observed 24 photonlike events with E>100 TeV against 5.5 background events, which corresponds to a 5.6σ statistical significance. This is the first detection of photons with E>100 TeV from an astrophysical source.
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Affiliation(s)
- M Amenomori
- Department of Physics, Hirosaki University, Hirosaki 036-8561, Japan
| | - Y W Bao
- School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China
| | - X J Bi
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - D Chen
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - T L Chen
- Physics Department of Science School, Tibet University, Lhasa 850000, China
| | - W Y Chen
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Xu Chen
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Y Chen
- School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China
| | - S W Cui
- Department of Physics, Hebei Normal University, Shijiazhuang 050016, China
| | - L K Ding
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J H Fang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - K Fang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - C F Feng
- Department of Physics, Shandong University, Jinan 250100, China
| | - Zhaoyang Feng
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Z Y Feng
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
| | - Qi Gao
- Physics Department of Science School, Tibet University, Lhasa 850000, China
| | - Q B Gou
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y Q Guo
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - H H He
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Z T He
- Department of Physics, Hebei Normal University, Shijiazhuang 050016, China
| | - K Hibino
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - N Hotta
- Faculty of Education, Utsunomiya University, Utsunomiya 321-8505, Japan
| | - Haibing Hu
- Physics Department of Science School, Tibet University, Lhasa 850000, China
| | - H B Hu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J Huang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - H Y Jia
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
| | - L Jiang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - H B Jin
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - F Kajino
- Department of Physics, Konan University, Kobe 658-8501, Japan
| | - K Kasahara
- Research Institute for Science and Engineering, Waseda University, Tokyo 169-8555, Japan
| | - Y Katayose
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - C Kato
- Department of Physics, Shinshu University, Matsumoto 390-8621, Japan
| | - S Kato
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - K Kawata
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - M Kozai
- Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (ISAS/JAXA), Sagamihara 252-5210, Japan
| | - G M Le
- National Center for Space Weather, China Meteorological Administration, Beijing 100081, China
| | - A F Li
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- Department of Physics, Shandong University, Jinan 250100, China
- School of Information Science and Engineering, Shandong Agriculture University, Taian 271018, China
| | - H J Li
- Physics Department of Science School, Tibet University, Lhasa 850000, China
| | - W J Li
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
| | - Y H Lin
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - B Liu
- School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China
| | - C Liu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J S Liu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - M Y Liu
- Physics Department of Science School, Tibet University, Lhasa 850000, China
| | - Y-Q Lou
- Physics Department, Astronomy Department and Tsinghua Center for Astrophysics, Tsinghua-National Astronomical Observatories of China joint Research Center for Astrophysics, Tsinghua University, Beijing 100084, China
| | - H Lu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - X R Meng
- Physics Department of Science School, Tibet University, Lhasa 850000, China
| | - H Mitsui
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - K Munakata
- Department of Physics, Shinshu University, Matsumoto 390-8621, Japan
| | - Y Nakamura
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - H Nanjo
- Department of Physics, Hirosaki University, Hirosaki 036-8561, Japan
| | - M Nishizawa
- National Institute of Informatics, Tokyo 101-8430, Japan
| | - M Ohnishi
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - I Ohta
- Sakushin Gakuin University, Utsunomiya 321-3295, Japan
| | - S Ozawa
- Research Institute for Science and Engineering, Waseda University, Tokyo 169-8555, Japan
| | - X L Qian
- Department of Mechanical and Electrical Engineering, Shandong Management University, Jinan 250357, China
| | - X B Qu
- College of Science, China University of Petroleum, Qingdao, 266555, China
| | - T Saito
- Tokyo Metropolitan College of Industrial Technology, Tokyo 116-8523, Japan
| | - M Sakata
- Department of Physics, Konan University, Kobe 658-8501, Japan
| | - T K Sako
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - Y Sengoku
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - J Shao
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- Department of Physics, Shandong University, Jinan 250100, China
| | - M Shibata
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - A Shiomi
- College of Industrial Technology, Nihon University, Narashino 275-8576, Japan
| | - H Sugimoto
- Shonan Institute of Technology, Fujisawa 251-8511, Japan
| | - M Takita
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - Y H Tan
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - N Tateyama
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - S Torii
- Research Institute for Science and Engineering, Waseda University, Tokyo 169-8555, Japan
| | - H Tsuchiya
- Japan Atomic Energy Agency, Tokai-mura 319-1195, Japan
| | - S Udo
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - H Wang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - H R Wu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - L Xue
- Department of Physics, Shandong University, Jinan 250100, China
| | - K Yagisawa
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - Y Yamamoto
- Department of Physics, Konan University, Kobe 658-8501, Japan
| | - Z Yang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - A F Yuan
- Physics Department of Science School, Tibet University, Lhasa 850000, China
| | - L M Zhai
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - H M Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J L Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - X Zhang
- School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China
| | - X Y Zhang
- Department of Physics, Shandong University, Jinan 250100, China
| | - Y Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Yi Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Ying Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - X X Zhou
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
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Shao J, Liang J, Zhong S. miR-30a-5p modulates traits of cutaneous squamous cell carcinoma (cSCC) via forkhead box protein G1 (FOXG1). Neoplasma 2019; 66:908-917. [PMID: 31307196 DOI: 10.4149/neo_2018_181205n923] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 04/29/2019] [Indexed: 11/08/2022]
Abstract
miRNA has shown its potential in the regulation of squamous cell carcinoma (SCC). However, the mechanism of such an effect was not quite clear. Therefore, we aimed to investigate whether miR-30a-5p participated in the regulation of cutaneous SCC (cSCC) and the possible mechanism involved. 5-Ethynyl-2'-deoxyuridine (EdU) and cell cycle were measured using flow cytometry. The formation of cell colony was tested by colony formation assay. The capacities of migration and invasion were tested by wound healing assay and Transwell invasion assay, respectively. The target of miR-30a-5p was predicted by bioinformatics and identified by luciferase assay. Western blot was used for the determination of proteins and qPCR was for mRNA levels. miR-30a-5p expression was lowered in SCL-1 and A431 cells, and its upregulation suppressed EdU positive cells, colony numbers, migration, invasion and Bcl-2 expression, and elevated Bcl-2-associated X protein (Bax) and cleaved Caspase-3 expressions, arresting cell cycle in G1 phase. Moreover, forkhead box protein G1 (FOXG1) was proved to be the target of miR-30a-5p, and FOXG1 overexpression partially offsets the decreased colony numbers, migration and invasion rates due to miR-30a-5p overexpression in SCL-1 and A431 cells. miR-30a-5p showed a regulatory role on the expression of FOXG1 and further modulated the progressing of cSCC cells, which could be a novel pathway intervening the development of cSCC.
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Affiliation(s)
- J Shao
- Department of Dermatology, Yantai Yuhuangding Hospital, Yantai, China
| | - J Liang
- Department of Dermatology, Yantai Yuhuangding Hospital, Yantai, China
| | - S Zhong
- Department of Dermatology, Yantai Yeda Hospital, Yantai, China
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Zhang YH, Song J, Shen L, Shao J. Systematic identification of lncRNAs and circRNAs-associated ceRNA networks in human lumbar disc degeneration. Biotech Histochem 2019; 94:606-616. [PMID: 31271316 DOI: 10.1080/10520295.2019.1622782] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [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: 12/26/2022] Open
Abstract
Lumbar disc degeneration (LDD) is a common cause of low back and neck pain. The molecular mechanisms underlying LDD, however, are unclear. Noncoding RNAs have been reported to participate in human diseases. We investigated a series of public datasets (GSE67566, GSE56081 and GSE63492) and identified 568 mRNAs, 55 microRNAs (miRNAs), 765 long noncoding RNAs (lncRNAs), and 586 circular RNAs (circRNAs) that were expressed differently in LDD than in normal discs. We constructed lncRNAs and circRNAs regulated competing endogenous RNAs (ceRNA) networks in LDD. Four lncRNAs, DANCR, CASK-AS1, SCARNA2, and LINC00638), and three circRNAs, hsa_circ_0005139, hsa_circ_0037858, and hsa_circ_0087890, were identified as key regulators of LDD progression. We found that hsa-miR-486-5p regulated the crosstalk among circRNA hsa_circ_0000189, lncRNA DANCR and 6 mRNAs, PYCR2, TOB1, ARHGAP5, RBPJ, CD247, SLC34A1. Gene ontology (GO) analysis demonstrated that these differently expressed lncRNAs and circRNAs were involved in cellular component organization or biogenesis, gene expression and negative regulation of metabolic processes. Our findings provide useful information for exploring new mechanisms for LDD and candidates for therapeutic targets.
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Affiliation(s)
- Y-H Zhang
- Spine Center, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - J Song
- Spine Center, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - L Shen
- Spine Center, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - J Shao
- Spine Center, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Shao J, Rodrigues M, Corter AL, Baxter NN. Multidisciplinary care of breast cancer patients: a scoping review of multidisciplinary styles, processes, and outcomes. Curr Oncol 2019; 26:e385-e397. [PMID: 31285683 PMCID: PMC6588064 DOI: 10.3747/co.26.4713] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [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] [Indexed: 12/18/2022] Open
Abstract
Background Clinical practice guidelines recommend a multidisciplinary approach to cancer care that brings together all relevant disciplines to discuss optimal disease management. However, the literature is characterized by heterogeneous definitions and few reviews about the processes and outcomes of multidisciplinary care. The objective of this scoping review was to identify and classify the definitions and characteristics of multidisciplinary care, as well as outcomes and interventions for patients with breast cancer. Methods A systematic search for quantitative and qualitative studies about multidisciplinary care for patients with breast cancer was conducted for January 2001 to December 2017 in the following electronic databases: medline, embase, PsycInfo, and cinahl. Two reviewers independently applied our eligibility criteria at level 1 (title/abstract) and level 2 (full-text) screening. Data were extracted and synthesized descriptively. Results The search yielded 9537 unique results, of which 191 were included in the final analysis. Two main types of multidisciplinary care were identified: conferences and clinics. Most studies focused on outcomes of multidisciplinary care that could be variously grouped at the patient, provider, and system levels. Research into processes tended to focus on processes that facilitate implementation: team-working, meeting logistics, infrastructure, quality audit, and barriers and facilitators. Summary Approaches to multidisciplinary care using conferences and clinics are well described. However, studies vary by design, clinical context, patient population, and study outcome. The heterogeneity of the literature, including the patient populations studied, warrants further specification of multidisciplinary care practice and systematic reviews of the processes or contexts that make the implementation and operation of multidisciplinary care effective.
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Affiliation(s)
- J Shao
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON
| | - M Rodrigues
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON
| | - A L Corter
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON
| | - N N Baxter
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON
- Department of Surgery, St. Michael's Hospital, Toronto, ON
- Institute for Clinical Evaluative Sciences, University of Toronto, Toronto, ON
- Division of General Surgery, Department of Surgery, University of Toronto, Toronto, ON
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36
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Amenomori M, Bi XJ, Chen D, Chen TL, Chen WY, Cui SW, Danzengluobu, Ding LK, Feng CF, Feng Z, Feng ZY, Gou QB, Guo YQ, He HH, He ZT, Hibino K, Hotta N, Hu H, Hu HB, Huang J, Jia HY, Jiang L, Kajino F, Kasahara K, Katayose Y, Kato C, Kawata K, Kozai M, Labaciren, Le GM, Li AF, Li HJ, Li WJ, Lin YH, Liu C, Liu JS, Liu MY, Lu H, Meng XR, Miyazaki T, Munakata K, Nakajima T, Nakamura Y, Nanjo H, Nishizawa M, Niwa T, Ohnishi M, Ohta I, Ozawa S, Qian XL, Qu XB, Saito T, Saito TY, Sakata M, Sako TK, Shao J, Shibata M, Shiomi A, Shirai T, Sugimoto H, Takita M, Tan YH, Tateyama N, Torii S, Tsuchiya H, Udo S, Wang H, Wu HR, Xue L, Yamamoto Y, Yamauchi K, Yang Z, Yuan AF, Zhai LM, Zhang HM, Zhang JL, Zhang XY, Zhang Y, Zhang Y, Zhang Y, Zhaxisangzhu, Zhou XX. The cosmic ray energy spectrum measured with the new Tibet hybrid experiment. EPJ Web Conf 2019. [DOI: 10.1051/epjconf/201920803001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
We have upgraded the new Tibet ASgamma experiment in China since 2014 to measure the chemical composition of cosmic rays around the knee. This hybrid experiment consist of an air-shower-core detector array (YAC-II) to detect high energy electromagnetic component, the Tibet air-shower array (Tibet-III) and a large underground water-Cherenkov muon-detector array (MD). We have carried out a detailed air-shower Monte Carlo (MC) simulation to study the performance of the hybrid detectors by using CORSIKA (version 7.5000), which includes EPOS-LHC, QGSJETII-04, SIBYLL2.1 and SIBYLL2.3 hadronic interaction models. The preliminary results of the interaction model checking above 50 TeV energy region are reported in this paper, and the primary proton and helium spectra in the energy range 50 TeV to 1015 eV was derived from YAC-I data and is smoothly connected with direct observation data at lower energies and also with our previously reported works at higher energies within statistical errors. The knee of the (P+He) spectra is located around 400 TeV. The interaction model dependence in deriving the primary (P+He) spectra is found to be small (less than 25% in absolute intensity, 10% in position of the knee), and the composition model dependence is less than 10% in absolute intensity.
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37
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Yang JLX, Zhang Y, Feng WW, Tang H, Shao J, Wang NR, Wang H, Sun J, Luo Y, Lyu LQ, Yan SQ, Zhao DM, Mu LJ, Yan DM, Wang H, Gao XT, He MF, Yang J, Fu M, Sanders M, Haslam D. [Practice of parenting and related factors on children aged 0-5 in the urban areas of China]. Zhonghua Liu Xing Bing Xue Za Zhi 2019; 40:422-426. [PMID: 31006202 DOI: 10.3760/cma.j.issn.0254-6450.2019.04.010] [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: 06/09/2023]
Abstract
Objective: To characterize the relations between the practice of parenting and associated factors on children (0-5 years old) in urban areas of China, in order to provide evidence for promoting the early development of children and to provide positive guidance and service programs on parenting. Methods: A total of 4 515 parents from 15 cities (14 provinces) were surveyed with a self-administered questionnaire. Parenting and Family Adjustment Scales (PAFAS) was used, including parameters as: consistency and coercive parenting, positive encouragement, parent-child relationship and parental emotion adjustment, family relationship and parental teamwork aspects, etc. Both single factor analysis and multiple linear regression were used to examine the associations between parenting practice, individual, parental and family factors. Results: The mean score of PAFAS was 21.00 (15.00-28.00), associated with factors as children's age, only-child family, premature delivery, father's education level, confidence on parenting, problems regarding the parental mood, annual family income, family structure and behavior on seeking professional help, etc. Results showed that there were big differences on the practice of parenting in China and influenced by variety of factors. Conclusions: The general situation of parenting was well, in the urban areas of China. The practice of parenting was associated with a series of individual, parental and family factors. Programs on improving the parenting skills and promoting the early development of children, should be highlighted.
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Affiliation(s)
- J L X Yang
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - Y Zhang
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - W W Feng
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - H Tang
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - J Shao
- Zhejiang University School of Medicine Affiliated Children's Hospital, Hangzhou 310003, China
| | - N R Wang
- Chongqing Maternal and Child Health Hospital, Chongqing 400013, China
| | - H Wang
- Maternal and Child Health Hospital of Sichuan Province, Chengdu 610031, China
| | - J Sun
- Dalian Maternal and Child Health Hospital of Liaoning Province, Dalian 116033, China
| | - Y Luo
- Guiyang Maternal and Child Health Hospital, Guiyang 550003, China
| | - L Q Lyu
- Ningbo Women and Children's Hospital of Zhejiang Province, Ningbo 315000, China
| | - S Q Yan
- Ma'anshan Maternal and Child Health Hospital of Anhui Province, Ma'anshan 243011, China
| | - D M Zhao
- Qilu Children's Hospital of Shandong University, Jinan 250022, China
| | - L J Mu
- Fangshan District Maternal and Child Health Hospital of Beijing, Beijing 102488, China
| | - D M Yan
- Lianyungang Maternal and Child Health Hospital of Jiangsu Province, Lianyungang 222000, China
| | - H Wang
- Maternal and Child Health Hospital of Hubei Province, Wuhan 430070, China
| | - X T Gao
- Northwest Women and Children's Hospital, Xi'an710061, China
| | - M F He
- Maternal and Child Health Hospital Hunan Province, Changsha 410008, China
| | - J Yang
- Qinhuangdao Maternal and Child Health Hospital of Hebei Province, Qinhuangdao 066001, China
| | - M Fu
- Maternal and Child Health Hospital of Guangdong Province, Guangzhou 510010, China
| | - M Sanders
- The University of Queensland, Australia, Queensland 4072, Australia
| | - D Haslam
- The University of Queensland, Australia, Queensland 4072, Australia
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Echeverria GV, Ge Z, Seth S, Jeter-Jones SL, Zhang X, Zhou X, Cai S, Tu Y, McCoy A, Peoples M, Lau R, Shao J, Sun Y, Bristow C, Carugo A, Ma X, Harris A, Wu Y, Moulder S, Symmans WF, Marszalek JR, Heffernan TP, Chang JT, Piwnica-Worms H. Abstract GS5-05: Resistance to neoadjuvant chemotherapy in triple negative breast cancer mediated by a reversible drug-tolerant state. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-gs5-05] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Approximately 50% of patients with localized triple negative breast cancer (TNBC) have substantial residual cancer burden following treatment with neoadjuvant chemotherapy (NACT), resulting in distant metastasis and death for most of these patients. While genomic and phenotypic intra-tumor heterogeneity are pervasive features of TNBCs at the time of diagnosis, the functional contributions of heterogeneous tumor cell populations to chemoresistance have not been elucidated.
To investigate tumor evolution accompanying NACT, we employed orthotopic patient-derived xenograft (PDX) models of treatment-naïve TNBC, which retain intra-tumor heterogeneity characteristic of human TNBC. We discovered that some PDX models initially exhibited partial sensitivity to standard front-line NACT (Adriamycin plus Cytoxan, AC). Following AC, residual tumors were resistant to chemotherapy but repopulated tumors with chemo-sensitive cells if left untreated, indicating that tumor cells possessed inherent plasticity. To identify the tumor cell subpopulation(s) conferring chemoresistance, we conducted barcode-mediated clonal tracking in three independent PDX models by introducing a high-complexity pooled lentiviral barcode library into PDX tumor cells which were then orthotopically engrafted into recipient mice. Strikingly, residual tumors maintained the same heterogeneous clonal architecture as naïve tumors. Concordantly, whole-exome sequencing revealed conservation of genomic subclonal architecture throughout treatment. These results were corroborated by genomic sequencing of serial biopsies pre- and post-AC obtained directly from TNBC patients enrolled on an ongoing clinical trial at MD Anderson (ARTEMIS; NCT02276443). Together, these studies revealed that genomically distinct pre-treatment subclones were equally capable of surviving AC to reconstitute tumors after treatment.
To identify functional addictions of residual tumor cells, we conducted histologic and transcriptomic profiling. Residual tumors following AC-treatment exhibited extensive fibrotic desmoplasia and tumor cell pleomorphism in both PDX models and in serial biopsies obtained from TNBC patients enrolled on the ARTEMIS trial. Strikingly, these AC-induced features were reverted upon regrowth of residual tumors in PDXs and in patients' tumors. Similarly, residual tumors exhibited unique transcriptomic features, many of which are also de-regulated in cohorts of human TNBCs undergoing chemotherapy treatment. These features were nearly completely reverted after tumors regrew, suggesting that the residual tumor state may be a unique and transient therapeutic window. Gene set enrichment analyses revealed that residual tumors had increased activation of oxidative phosphorylation and decreased glycolytic signaling. Pharmacologic targeting of oxidative phosphorylation with a small-molecule inhibitor of mitochondrial electron transport chain complex I (IACS-010759) significantly delayed the regrowth of AC-treated residual tumors in three independent PDX models. Collectively, these studies reveal that a reversible phenotypic state can confer chemoresistance in the absence of genomic selection and that the residual tumor state is a novel therapeutic window for chemo-refractory TNBC.
Citation Format: Echeverria GV, Ge Z, Seth S, Jeter-Jones SL, Zhang X, Zhou X, Cai S, Tu Y, McCoy A, Peoples M, Lau R, Shao J, Sun Y, Bristow C, Carugo A, Ma X, Harris A, Wu Y, Moulder S, Symmans WF, Marszalek JR, Heffernan TP, Chang JT, Piwnica-Worms H. Resistance to neoadjuvant chemotherapy in triple negative breast cancer mediated by a reversible drug-tolerant state [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr GS5-05.
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Affiliation(s)
- GV Echeverria
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - Z Ge
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - S Seth
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - SL Jeter-Jones
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - X Zhang
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - X Zhou
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - S Cai
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - Y Tu
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - A McCoy
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - M Peoples
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - R Lau
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - J Shao
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - Y Sun
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - C Bristow
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - A Carugo
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - X Ma
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - A Harris
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - Y Wu
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - S Moulder
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - WF Symmans
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - JR Marszalek
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - TP Heffernan
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - JT Chang
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
| | - H Piwnica-Worms
- The University of Texas MD Anderson Cancer Center, Houston, TX; The University of Texas Health Science Center, Houston, TX
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Rinkenbaugh AL, Sinha VC, Zhang X, Shao J, Piwnica-Worms H. Abstract P3-07-03: Withdrawn. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p3-07-03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
This abstract was withdrawn by the authors.
Citation Format: Rinkenbaugh AL, Sinha VC, Zhang X, Shao J, Piwnica-Worms H. Withdrawn [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P3-07-03.
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Affiliation(s)
- AL Rinkenbaugh
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - VC Sinha
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - X Zhang
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - J Shao
- University of Texas MD Anderson Cancer Center, Houston, TX
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Xiong D, Shao J, Luo W, Jiang H, Wang F, Lu B. The complete mitochondrial genome of the Brachymystax tsinlingensis Li. Mitochondrial DNA B Resour 2019. [DOI: 10.1080/23802359.2018.1542981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
Affiliation(s)
- D.M. Xiong
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - J. Shao
- College of Animal Science, Guizhou University, Guiyang, China
- Yellow River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Xi’an, China
| | - W. Luo
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - H.B. Jiang
- College of Animal Science, Guizhou University, Guiyang, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guiyang, China
| | - F Wang
- Yellow River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Xi’an, China
| | - B. Lu
- Yellow River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Xi’an, China
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Amenomori M, Bi XJ, Chen D, Chen TL, Chen WY, Cui SW, Danzengluobu, Ding LK, Feng CF, Feng Z, Feng ZY, Gou QB, Guo YQ, He HH, He ZT, Hibino K, Hotta N, Hu H, Hu HB, Huang J, Jia HY, Jiang L, Kajino F, Kasahara K, Katayose Y, Kato C, Kawata K, Kozai M, Labaciren, Le GM, Li AF, Li HJ, Li WJ, Lin YH, Liu C, Liu JS, Liu MY, Lu H, Meng XR, Miyazaki T, Munakata K, Nakajima T, Nakamura Y, Nanjo H, Nishizawa M, Niwa T, Ohnishi M, Ohta I, Ozawa S, Qian XL, Qu XB, Saito T, Saito TY, Sakata M, Sako TK, Shao J, Shibata M, Shiomi A, Shirai T, Sugimoto H, Takita M, Tan YH, Tateyama N, Torii S, Tsuchiya H, Udo S, Wang H, Wu HR, Xue L, Yamamoto Y, Yamauchi K, Yang Z, Yuan AF, Zhai LM, Zhang HM, Zhang JL, Zhang XY, Zhang Y, Zhang Y, Zhang Y, Zhaxisangzhu, Zhou XX. Test of the hadronic interaction models SIBYLL2.3, EPOS-LHC and QGSJETII- 04 with Tibet EAS core data. EPJ Web Conf 2019. [DOI: 10.1051/epjconf/201920808013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
A hybrid experiment has been started by the ASγ experiment at Yangbajing (4300m a.s.l.) in Tibet since May 2009, that consists of a high-energy air-shower-core array (YAC-I) and a high-density air-shower array (Tibet-III). In this paper, we report our results to check the hadronic interaction models SIBYLL2.3, SIBYLL2.1, EPOS-LHC and QGSJETII-04 in the multi-tens TeV energy region using YAC-I+Tibet-III experimental data from May 2009 through January 2010. The effective live time is calculated as 106.05 days. The results show that the description of transverse momentum, inelastic cross-section and inelasticity for the 4 hadronic interaction models is consistent with YAC-I experimental data within 15% systematic errors range in the forward region below 100 TeV. Among them, the EPOS-LHC model is the best hadronic interaction model. Furthermore, we find that the H4a composition model is the best one below the 100 TeV energy region.
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Amenomori M, Bi XJ, Chen D, Chen TL, Chen WY, Cui SW, Danzengluobu, Ding LK, Feng CF, Feng Z, Feng ZY, Gou QB, Guo YQ, He HH, He ZT, Hibino K, Hotta N, Hu H, Hu HB, Huang J, Jia HY, Jiang L, Kajino F, Kasahara K, Katayose Y, Kato C, Kawata K, Kozai M, Labaciren, Le GM, Li AF, Li HJ, Li WJ, Lin YH, Liu C, Liu JS, Liu MY, Lu H, Meng XR, Miyazaki T, Munakata K, Nakajima T, Nakamura Y, Nanjo H, Nishizawa M, Niwa T, Ohnishi M, Ohta I, Ozawa S, Qian XL, Qu XB, Saito T, Saito TY, Sakata M, Sako TK, Shao J, Shibata M, Shiomi A, Shirai T, Sugimoto H, Takita M, Tan YH, Tateyama N, Torii S, Tsuchiya H, Udo S, Wang H, Wu HR, Xue L, Yamamoto Y, Yamauchi K, Yang Z, Yuan AF, Zhai LM, Zhang HM, Zhang JL, Zhang XY, Zhang Y, Zhang Y, Zhang Y, Zhaxisangzhu, Zhou XX. On the Solar Cycle Variation of the Solar Diurnal Anisotropy of Multi-TeV Cosmic-ray Intensity Observed with the Tibet Air Shower Array. EPJ Web Conf 2019. [DOI: 10.1051/epjconf/201920808012] [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: 11/15/2022] Open
Abstract
We analyze the temporal variation of the solar diurnal anisotropy of the multi-TeV cosmic-ray intensity observed with the Tibet air shower array from 2000 to 2009, covering the maximum and minimum of the 23rd solar cycle. We comfirm that a remarkable additional anisotropy component is superposed on the Compton-Getting anisotropy at 4.0 TeV, while its amplitude decreases at higher energy regions. In constrast to the additional anisotropy reported by the Matsushiro experiment at 0.6 TeV, we find the residual component measured by Tibet at multi-TeV energies is consistent with being stable, with a fairly constant amplitude of 0.041% ± 0.003% and a phase at around 07.17 ± 00.16 local solar time at 4.0 TeV. This suggests the additional anisotropy observed by the Tibet experiment could result from mechanisms unrelated to solar activities.
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Abstract
The objective of this study was to evaluate a novel thermoresponsive polyisocyanopeptide (PIC)–based hydrogel as an injectable carrier for local drug delivery for periodontal applications. Three formulations of PIC gels, 0.2%, 0.5%, and 1% w/w, were prepared. As controls, commercially available poloxamer 407 (P407) gels of 20% and 26% w/w were used. Lipoxin A4 (LXA4), a proresolving drug, was suspended into the gel solutions. The systems were evaluated regarding dynamic mechanical properties, injectability and stability, release and bioactivity of LXA4, and cytocompatibility. Results showed that the gelation temperatures of PIC and P407 gels were around 13°C to 23°C. PIC gels were less viscous and mechanically weaker than P407 gels due to the low polymer concentrations. However, PIC gels kept gel integrity for at least 2 wk when incubated with phosphate-buffered saline, whereas P407 gels were disintegrated totally within 1 wk. LXA4 was chemically stable in both neutral and alkaline medium for over 1 mo. The release of LXA4 from either 1% PIC or 26% P407 gels depicted an initial burst release followed by a sustained release for around 4 d. The extent of burst release was negatively correlated to the polymer concentration. LXA4 remained bioactive after release from PIC gels. No cytotoxicity was observed for 1% PIC gel. However, 26% P407 inhibited periodontal ligament cell and gingival epithelial cell growth. In conclusion, the thermoresponsive PIC gel is a potential candidate for periodontal drug delivery.
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Affiliation(s)
- B Wang
- 1 Department of Biomaterials, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - J Shao
- 1 Department of Biomaterials, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - J A Jansen
- 1 Department of Biomaterials, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - X F Walboomers
- 1 Department of Biomaterials, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - F Yang
- 1 Department of Biomaterials, Radboud University Medical Centre, Nijmegen, the Netherlands
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Liu B, Yan J, Su S, Shao J, Zhao Y, Xu Q, Yang Y, Zou Z, Huang X, Wei J. A phase I/II trial of CRISPR-Cas9-mediated PD-1 knockout Epstein-Barr Virus cytotoxic lymphocytes (EBV-CTLs) for advanced stage EBV associated malignancies. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy432.057] [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: 11/12/2022] Open
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Yang J, Yan J, Shao J, Xu Q, Meng F, Liu B. VEGFR2 Inhibitor YN968D1 Improves the T Cell-Mediated Cytotoxicity for Gastric Cancer. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.626] [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: 10/28/2022]
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46
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Zhang Q, Han Y, Zhang J, Shao J, Zhu L, Zhao R. A large-scale retrospective study on ROS1 fusion in lung carcinoma in a Chinese population. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy446.012] [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: 11/13/2022] Open
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47
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Zhao R, Zhang J, Han Y, Shao J, Zhu L, Xiang C, Zhang Q, Teng H, Qin G, Zhao L, Ye M, Zhao J, Ding W. Clinicopathological features of ALK protein in 9889 non-small-cell lung cancer specimens and genomic rearrangement identified by capture-based next-generation sequencing: A Chinese retrospective analysis. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy446.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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48
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Ye HP, Shao J, Tan SW, Shan XY, Shi YP. [Simultaneous determination of trichloroethylene and trichloroethanol in blood by liquid-liquid extraction-gas chromatography]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2018; 35:780-782. [PMID: 29294559 DOI: 10.3760/cma.j.issn.1001-9391.2017.10.020] [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: 11/05/2022]
Abstract
Objective: To establish a method for determing the trichloroethylene(TCE)and trichloroethanol(TCOH)in blood samples by liquid-liquid extraction-gas chromatography with electron capture detector. Methods: With this method,ether was used as extraction solvent and trichloromethane was used as an internal standard. The whole blood sample was extracted with ether, and dehydrated by anhydrous sodium sulfate. Then the analytes were separated on HP-5 capillary column(30m×0.32mm×0.15μm)and detected byECD.The retention time was for qualitative analysis and the internal standard was for quantitation. Results: The standard curves of TCE and TCOH showed significant linearity between 95.5μg/L-7640.0μg/L(r=0.9997)and 19.0μg/L-1520.0μg/L(r=0.9992). The average recovery was 95.5%-103.6%.The intra-day and inter-day precisions(RSD)were 2.5%-6.8%(n=6)and 1.6%-4.3%(n=6) respectively. The detect limit of TCE and TCOH were 2.10 μg/L and 0.56μg/L(S/N=3)respectively.The blood can be kept 7 days at-20℃ refrigerator without significantly loss. Conclusion: This method is proved to be simple,practical and highly sensitive. It can satisfy the request for the determination of blood samples of humans exposed to TCE.
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Affiliation(s)
- H P Ye
- Hangzhou Occupational Disease Prevention and Control Hospital, Hangzhou 310014, China
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Adeel M, Ren L, Li J, Shao J, Jawad A, Su C, Wang Y, Guo L, He Y. Enhanced mechanical properties of PDMS/PMMA composite membrane using MWCNTs and its application in phenol separation from saline wastewater. J Appl Polym Sci 2018. [DOI: 10.1002/app.47123] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- M. Adeel
- School of Environmental Science and EngineeringShanghai Jiao Tong University 800 Dongchuan Road, Shanghai 200240 Shanghai People's Republic of China
| | - L.‐F. Ren
- School of Environmental Science and EngineeringShanghai Jiao Tong University 800 Dongchuan Road, Shanghai 200240 Shanghai People's Republic of China
| | - J. Li
- School of Environmental Science and EngineeringShanghai Jiao Tong University 800 Dongchuan Road, Shanghai 200240 Shanghai People's Republic of China
| | - J. Shao
- School of Environmental Science and EngineeringShanghai Jiao Tong University 800 Dongchuan Road, Shanghai 200240 Shanghai People's Republic of China
| | - A. Jawad
- School of Chemistry and Chemical EngineeringShanghai Jiao Tong University 800 Dongchuan Road, Shanghai 200240 Shanghai People's Republic of China
| | - C. Su
- School of Environmental Science and EngineeringShanghai Jiao Tong University 800 Dongchuan Road, Shanghai 200240 Shanghai People's Republic of China
| | - Y. Wang
- Air Force Logistics University of People's Liberation Army of China Xuzhou 221000 Jiangsu People's Republic of China
| | - L. Guo
- Air Force Logistics University of People's Liberation Army of China Xuzhou 221000 Jiangsu People's Republic of China
| | - Y. He
- School of Environmental Science and EngineeringShanghai Jiao Tong University 800 Dongchuan Road, Shanghai 200240 Shanghai People's Republic of China
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Li J, Xu S, Hassan M, Shao J, Ren L, He Y. Effective modeling and optimization of PVDF–PTFE electrospinning parameters and membrane distillation process by response surface methodology. J Appl Polym Sci 2018. [DOI: 10.1002/app.47125] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- J. Li
- School of Environmental Science and EngineeringShanghai Jiao Tong University, 800 Dongchuan Road Shanghai 200240 People's Republic of China
| | - S. Xu
- School of Environmental Science and EngineeringShanghai Jiao Tong University, 800 Dongchuan Road Shanghai 200240 People's Republic of China
| | - M. Hassan
- School of Environmental Science and EngineeringShanghai Jiao Tong University, 800 Dongchuan Road Shanghai 200240 People's Republic of China
| | - J. Shao
- School of Environmental Science and EngineeringShanghai Jiao Tong University, 800 Dongchuan Road Shanghai 200240 People's Republic of China
| | - L.‐F. Ren
- School of Environmental Science and EngineeringShanghai Jiao Tong University, 800 Dongchuan Road Shanghai 200240 People's Republic of China
| | - Y. He
- School of Environmental Science and EngineeringShanghai Jiao Tong University, 800 Dongchuan Road Shanghai 200240 People's Republic of China
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