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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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Liu Q, Xu R, Shen J, Tao Y, Shao J, Ke Y, Liu B. In situ chemoimmunotherapy hydrogel elicits immunogenic cell death and evokes efficient antitumor immune response. J Transl Med 2024; 22:341. [PMID: 38594751 PMCID: PMC11005214 DOI: 10.1186/s12967-024-05102-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 03/15/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Chemoimmunotherapy has shown promising advantages of eliciting immunogenic cell death and activating anti-tumor immune responses. However, the systemic toxicity of chemotherapy and tumor immunosuppressive microenvironment limit the clinical application. METHODS Here, an injectable sodium alginate hydrogel (ALG) loaded with nanoparticle albumin-bound-paclitaxel (Nab-PTX) and an immunostimulating agent R837 was developed for local administration. Two murine hepatocellular carcinoma and breast cancer models were established. The tumor-bearing mice received the peritumoral injection of R837/Nab-PTX/ALG once a week for two weeks. The antitumor efficacy, the immune response, and the tumor microenvironment were investigated. RESULTS This chemoimmunotherapy hydrogel with sustained-release character was proven to have significant effects on killing tumor cells and inhibiting tumor growth. Peritumoral injection of our hydrogel caused little harm to normal organs and triggered a potent antitumor immune response against both hepatocellular carcinoma and breast cancer. In the tumor microenvironment, enhanced immunogenic cell death induced by the combination of Nab-PTX and R837 resulted in 3.30-fold infiltration of effector memory T cells and upregulation of 20 biological processes related to immune responses. CONCLUSIONS Our strategy provides a novel insight into the combination of chemotherapy and immunotherapy and has the potential for clinical translation.
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Affiliation(s)
- Qin Liu
- The Comprehensive Cancer Centre, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
| | - Rui Xu
- The Comprehensive Cancer Centre, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Jingwen Shen
- The Comprehensive Cancer Centre, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yaping Tao
- The Comprehensive Cancer Centre, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Jingyi Shao
- The Comprehensive Cancer Centre, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yaohua Ke
- The Comprehensive Cancer Centre, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Baorui Liu
- The Comprehensive Cancer Centre, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
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Ke Y, Xin K, Tao Y, Li L, Chen A, Shao J, Zhu J, Zhang D, Cen L, Chu Y, Yu L, Liu B, Liu Q. A Thermosensitive Bi-Adjuvant Hydrogel Triggers Epitope Spreading to Promote the Anti-Tumor Efficacy of Frameshift Neoantigens. Adv Sci (Weinh) 2024; 11:e2306889. [PMID: 38308098 PMCID: PMC11005695 DOI: 10.1002/advs.202306889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/09/2024] [Indexed: 02/04/2024]
Abstract
Tumor-specific frameshift mutations encoding peptides (FSPs) are highly immunogenic neoantigens for personalized cancer immunotherapy, while their clinical efficacy is limited by immunosuppressive tumor microenvironment (TME) and self-tolerance. Here, a thermosensitive hydrogel (FSP-RZ-BPH) delivering dual adjuvants R848 (TLR7/8 agonist) + Zn2+ (cGAS-STING agonist) is designed to promote the efficacy of FSPs on murine forestomach cancer (MFC). After peritumoral injection, FSP-RZ-BPH behaves as pH-responsive sustained drug release at sites near the tumor to effectively transform the immunosuppressive TME into an inflammatory type. FSP-RZ-BPH orchestrates innate and adaptive immunity to activate dendritic cells in tumor-draining lymph nodes and increase the number of FSPs-reactive effector memory T cells (TEM) in tumor by 2.9 folds. More importantly, these TEM also exhibit memory responses to nonvaccinated neoantigens on MFC. This epitope spreading effect contributes to reduce self-tolerance to maintain long-lasting anti-tumor immunity. In MFC suppressive model, FSP-RZ-BPH achieves 84.8% tumor inhibition rate and prolongs the survival of tumor-bearing mice with 57.1% complete response rate. As a preventive tumor vaccine, FSP-RZ-BPH can also significantly delay tumor growth. Overall, the work identifies frameshift MFC neoantigens for the first time and demonstrates the thermosensitive bi-adjuvant hydrogel as an effective strategy to boost bystander anti-tumor responses of frameshift neoantigens.
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Affiliation(s)
- Yaohua Ke
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
| | - Kai Xin
- Department of OncologyNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine321 Zhongshan RoadNanjing210008China
| | - Yaping Tao
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
| | - Lin Li
- Department of OncologyNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine321 Zhongshan RoadNanjing210008China
| | - Aoxing Chen
- Department of OncologyNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine321 Zhongshan RoadNanjing210008China
| | - Jingyi Shao
- Department of OncologyNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine321 Zhongshan RoadNanjing210008China
| | - Junmeng Zhu
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
| | - Dinghu Zhang
- Zhejiang Cancer HospitalHangzhou Institute of Medicine (HIM)Chinese Academy of SciencesHangzhou310022China
| | - Lanqi Cen
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
| | - Yanhong Chu
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
| | - Lixia Yu
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
| | - Baorui Liu
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
- Department of OncologyNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine321 Zhongshan RoadNanjing210008China
| | - Qin Liu
- The Comprehensive Cancer CentreNanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing University321 Zhongshan RoadNanjing210008China
- Department of OncologyNanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine321 Zhongshan RoadNanjing210008China
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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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Hu Z, Li Y, Chen K, Li M, Tian M, Xiang L, Wu X, Zeng P, Li M, Shao J, Li L, Lin N, Tang L, Deng L, Gao M, Li Y, Zhong L, Wang M, Yan J, Wu Z. The Comparison of Two Whole-Genome Amplification Approaches for Noninvasive Preimplantation Genetic Testing (ni-PGT) and the Application Scenario of ni-PGT during the Fresh Cycle. J Mol Diagn 2023; 25:945-956. [PMID: 37806432 DOI: 10.1016/j.jmoldx.2023.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 08/29/2023] [Accepted: 09/14/2023] [Indexed: 10/10/2023] Open
Abstract
Recently, noninvasive preimplantation genetic testing (ni-PGT) using degenerate oligonucleotide primer PCR (DOP-PCR) and multiple annealing and looping-based amplification cycle (MALBAC)-based whole-genome amplification (WGA) methods has demonstrated predictable results in embryo testing. However, a considerable heterogeneity of results has been reported in numerous studies on these two WGA methods. Our aim was to evaluate the current WGA method for ni-PGT while further clarifying the applicable scenarios of ni-PGT in the fresh cycle. A total of 173 embryos were tested with trophectoderm biopsy and ni-PGT. In the whole preimplantation genetic testing, the clinical concordance rates of the detection results of DOP-PCR and MALBAC with the corresponding trophectoderm biopsy results were 64.12% (84/131) and 68.99% (89/129), respectively (P = 0.405). However, in the detection of abnormal embryos, the detection efficiency of ni-PGT is significantly improved [MALBAC: 96.55% versus 68.99% (P < 0.001); and DOP-PCR: 89.09% versus 64.12% (P < 0.001)]. In addition, the diagnostic efficiency of ni-PGT in low-quality blastocysts was significantly higher than that in high-quality blastocysts [MALBAC: 95.24% versus 51.85% (P = 0.001); and DOP-PCR: 91.30% versus 48.15% (P = 0.001)]. These results contribute to further understanding ni-PGT and to clarifying its application scenario in the fresh cycle.
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Affiliation(s)
- Zhixin Hu
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Yonggang Li
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Kexin Chen
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Mingying Li
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Mei Tian
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Lifeng Xiang
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Xiaorong Wu
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Peng Zeng
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Minyao Li
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Jingyi Shao
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Lei Li
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Na Lin
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Lu Tang
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Lian Deng
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Mengying Gao
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Yunxiu Li
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Li Zhong
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Mei Wang
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China
| | - Jiacong Yan
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China.
| | - Ze Wu
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, China; The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, China.
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Yang J, Zhao S, Su J, Liu S, Wu Z, Ma W, Tang M, Wu J, Mao E, Han L, Liu M, Zhang J, Cao L, Shao J, Shang Y. Comprehensive genomic profiling reveals prognostic signatures and insights into the molecular landscape of colorectal cancer. Front Oncol 2023; 13:1285508. [PMID: 38023196 PMCID: PMC10680082 DOI: 10.3389/fonc.2023.1285508] [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: 08/30/2023] [Accepted: 10/26/2023] [Indexed: 12/01/2023] Open
Abstract
Background Colorectal cancer (CRC) is a prevalent malignancy with diverse molecular characteristics. The NGS-based approach enhances our comprehension of genomic landscape of CRC and may guide future advancements in precision oncology for CRC patients. Method In this research, we conducted an analysis using Next-Generation Sequencing (NGS) on samples collected from 111 individuals who had been diagnosed with CRC. We identified somatic and germline mutations and structural variants across the tumor genomes through comprehensive genomic profiling. Furthermore, we investigated the landscape of driver mutations and their potential clinical implications. Results Our findings underscore the intricate heterogeneity of genetic alterations within CRC. Notably, BRAF, ARID2, KMT2C, and GNAQ were associated with CRC prognosis. Patients harboring BRAF, ARID2, or KMT2C mutations exhibited shorter progression-free survival (PFS), whereas those with BRAF, ARID2, or GNAQ mutations experienced worse overall survival (OS). We unveiled 80 co-occurring and three mutually exclusive significant gene pairs, enriched primarily in pathways such as TP53, HIPPO, RTK/RAS, NOTCH, WNT, TGF-Beta, MYC, and PI3K. Notably, co-mutations of BRAF/ALK, BRAF/NOTCH2, BRAF/CREBBP, and BRAF/FAT1 correlated with worse PFS. Furthermore, germline AR mutations were identified in 37 (33.33%) CRC patients, and carriers of these variants displayed diminished PFS and OS. Decreased AR protein expression was observed in cases with AR germline mutations. A four-gene mutation signature was established, incorporating the aforementioned prognostic genes, which emerged as an independent prognostic determinant in CRC via univariate and multivariate Cox regression analyses. Noteworthy BRAF and ARID2 protein expression decreases detected in patients with their respective mutations. Conclusion The integration of our analyses furnishes crucial insights into CRC's molecular characteristics, drug responsiveness, and the construction of a four-gene mutation signature for predicting CRC prognosis.
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Affiliation(s)
- Jinwei Yang
- Second Department of General Surgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
- Institute of Neuroscience, Kunming Medical University, Kunming, China
| | - Sihui Zhao
- Second Department of General Surgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Junyan Su
- Department of Scientific Research Projects, Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, China
| | - Siyao Liu
- Department of Scientific Research Projects, Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, China
| | - Zaozao Wu
- Second Department of General Surgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Wei Ma
- Institute of Neuroscience, Kunming Medical University, Kunming, China
| | - Ming Tang
- Department of Pathology, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Jingcui Wu
- Second Department of General Surgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Erdong Mao
- Second Department of General Surgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Li Han
- Department of Scientific Research Projects, Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, China
| | - Mengyuan Liu
- Department of Scientific Research Projects, Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, China
| | - Jiali Zhang
- Department of Scientific Research Projects, Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, China
| | - Lei Cao
- Department of Scientific Research Projects, Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, China
| | - Jingyi Shao
- Department of Reproductive Medicine, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Yun Shang
- Second Department of General Surgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
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Qian G, Shao J, Hu P, Tang W, Xiao Y, Hao T. From micro to macro: The role of seawater in maintaining structural integrity and bioactivity of granules in treating antibiotic-laden mariculture wastewater. Water Res 2023; 246:120702. [PMID: 37837903 DOI: 10.1016/j.watres.2023.120702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/19/2023] [Accepted: 10/04/2023] [Indexed: 10/16/2023]
Abstract
Granular sludge (GS) has superior antibiotic removal ability to flocs, due to GS's layered structure and rich extracellular polymeric substances. However, prolonged exposure to antibiotics degrades the performance and stability of GS. This study investigated how a seawater matrix might help maintain the structural integrity and bioactivity of granules. The results demonstrated that GS had better sulfadiazine (SDZ) removal efficiency in a seawater matrix (85.6 %) than in a freshwater matrix (57.6 %); the multiple ions in seawater enhanced boundary layer diffusion (kiR1 = 0.0805 mg·g-1·min-1/2 and kiR2 = 0.1112 mg·g-1·min-1/2) and improved adsorption performance by 15 % (0.123 mg/g-SS freshwater vs. 0.141 mg/g-SS seawater). Moreover, multiple hydrogen bonds (1-3) formed between each SDZ and lipid bilayer fortified the adsorption. Beyond S-N and S-C bond hydrolyses that took place in freshwater systems, there was an additional biodegradation pathway for GS to be cultivated in a saltwater system that involved sulfur dioxide extrusion. This additional pathway was attributable to the greater microbial diversity and larger presence of sulfadiazine-degrading bacteria containing SadAC genes, such as Leucobacter and Arthrobacter, in saltwater wastewater. The findings of this study elucidate how seawater influences GS properties and antibiotic removal ability.
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Affiliation(s)
- Guangsheng Qian
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau 999078, China; Centre for Regional Oceans, Faculty of Science and Technology, University of Macau, Macau 999078, China
| | - Jingyi Shao
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau 999078, China
| | - Peng Hu
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau 999078, China
| | - Wentao Tang
- Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
| | - Yihang Xiao
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau 999078, China
| | - Tianwei Hao
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau 999078, China; Centre for Regional Oceans, Faculty of Science and Technology, University of Macau, Macau 999078, China.
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8
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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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9
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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
| | | | | | | | | | | | | | | | | | | | | | - H Huynh
- 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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11
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Hao T, Shao J, Hu P, Varjani S, Qian G. Achieving tetracycline removal enhancement with granules in marine matrices: Performance, adaptation, and mechanism studies. Bioresour Technol 2023; 371:128590. [PMID: 36627084 DOI: 10.1016/j.biortech.2023.128590] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 01/04/2023] [Accepted: 01/06/2023] [Indexed: 06/17/2023]
Abstract
Using the aerobic granular sludge (AGS) to improve tetracycline (TET) removal in the treatment of mariculture wastewater was investigated in the present study. The AGS rapidly adapted to and was sustained in seawater matrices with a robust granule strength (k = 0.0014) and a more stable sludge yield than the activated sludge (AS) (0.14 vs 0.11 g-VSS/g-CODrem). The compact structure provided the AGS with an anoxic environment, which favored the growth of N (37.3 %) and P removal bacteria (30.4 %) and the expression of functional genes (nos, nor, and nar), resulting in more than 62 % TN and TP removals, respectively. Similar abundances of aromatic compound-degrading bacteria (∼34 %) in both reactors (AGS and AS) led to comparable TET biodegradation efficiencies (∼0.045 mg/g-VSS). The greater size and surface area of the AGS expanded the boundary layer diffusion region, leading to 16 % increases in the granule's TET adsorption capacity.
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Affiliation(s)
- Tianwei Hao
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau 999078, China; Centre for Regional Oceans, Faculty of Science and Technology, University of Macau, Macau 999078, China
| | - Jingyi Shao
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau 999078, China
| | - Peng Hu
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau 999078, China
| | - Sunita Varjani
- Gujarat Pollution Control Board, Gandhinagar, Gujarat 382 010, India
| | - Guangsheng Qian
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau 999078, China; Centre for Regional Oceans, Faculty of Science and Technology, University of Macau, Macau 999078, China.
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12
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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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13
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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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14
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Feng Y, Zhang C, Wu Z, Xu H, Zhang X, Feng C, Shao J, Xie M, Yang Y, Zhang Y, Ma T. Incorporation of liver chemistry score in predicting survival of liver-involved advanced gastric cancer patients who received palliative chemotherapy. Cancer Med 2022; 12:2831-2841. [PMID: 36057969 PMCID: PMC9939141 DOI: 10.1002/cam4.5179] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 05/17/2022] [Accepted: 05/28/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Gastric cancer liver metastasis (GCLM) patients usually accompany by abnormal serum liver function tests (LFTs) more or less; however, the prognostic value of LFTs is not fully understood. This study aimed to develop a liver chemistry score (LCS) based on LFTs and incorporate it into prognosis determination for GCLM patients who received palliative chemotherapy. METHODS Data were derived from hospitalized GCLM patients in two general hospitals in China. LCS was generated based on the results of LFTs by LASSO regression. Cutoff value of the score was determined by restricted cubic spline. The score was then incorporated into Cox regression analysis to construct a predictive nomogram; the model was then evaluated internally and externally by AUC of time-dependent receiver operating characteristic curves (ROC) and calibration curves. RESULTS Three hundred and thirty-six and 72 patients were included in development and validation cohort, respectively. LASSO regression analysis in development cohort finally reached a two-parametric LCS calculated on AST and ALP levels as 0.03343515 × ln (AST, U/L) + 0.02687997 × ln (ALP, U/L), and 0.232 was set as optimal cutoff value. Patients in low (LCS < 0.232) or high (LCS ≥ 0.232) score group experienced different survival times; median OS was 13.54 (95% CI: 11.1-15.6) months in the low LCS group and 7.3 (6.6-9.3) months in the high LCS group (p < 0.001). A nomogram including LCS and other clinical parameters was constructed and showed superior performance than model not including LCS. AUC of 6-month ROC improved from 0.647 (95% CI: 0.584-0.711) to 0.699 (0.638-0.759) in internal validation, and 0.837 (0.734-0.940) to 0.875 (0.784-0.966) in external validation. CONCLUSIONS Liver chemistry score is useful in determining the prognosis of gastric cancer patients with liver metastasis and may be helpful to clinicians in decision-making.
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Affiliation(s)
- Ying Feng
- Department of OncologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiPeople's Republic of China
| | - Cheng Zhang
- Department of OncologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiPeople's Republic of China,Anhui Provincial Cancer Institute/Anhui Provincial Office for Cancer Prevention and ControlHefeiPeople's Republic of China
| | - Zhijun Wu
- Department of OncologyMa'anshan Municipal People's HospitalMa'anshanPeople's Republic of China
| | - Hui Xu
- Department of OncologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiPeople's Republic of China,Anhui Provincial Cancer Institute/Anhui Provincial Office for Cancer Prevention and ControlHefeiPeople's Republic of China
| | - Xiaopeng Zhang
- Department of Noncommunicable Diseases and Health EducationHefei Center for Disease Control and PreventionHefeiPeople's Republic of China
| | - Chong Feng
- Department of Noncommunicable Diseases and Health EducationHefei Center for Disease Control and PreventionHefeiPeople's Republic of China
| | - Jingyi Shao
- Department of OncologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiPeople's Republic of China
| | - Minmin Xie
- Department of OncologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiPeople's Republic of China
| | - Yahui Yang
- Department of OncologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiPeople's Republic of China
| | - Yi Zhang
- Department of OncologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiPeople's Republic of China
| | - Tai Ma
- Department of OncologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiPeople's Republic of China
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Abstract
Background Gastrodia elata Blume (GEB), a traditional Chinese medicine, has been widely used to treat dizziness, numbness of limbs, and infantile convulsion, among other issues. Gastrodin is the main component of GEB. This meta-analysis aimed to evaluate the efficacy and safety of gastrodin in the treatment of migraine. Methods Ten electronic databases, namely the Cochrane Library, Embase, EBSCO, PubMed, Web of Science, CENTRAL, CNKI (China National Knowledge Infrastructure), CBM (Chinese Biomedicine Database), WanFang, and VIP (Chinese Scientific Journals Database), were searched for randomized controlled trials (RCTs) of gastrodin for migraine published before September 2021. The data were analyzed by RevMan 5.3 software and evaluated by GRADEpro. Results A total of 1,332 subjects were included in 16 RCTs. The meta-analysis showed that gastrodin was significantly effective in treating migraine (RR = 1.21, 95%CI = [1.17, 1.27]), reducing the pain degree (MD = −1.65, 95% CI = [−2.28, −1.02]), reducing the frequency of migraine attack (SMD = −2.77, 95% CI = [−3.92, −1.62]), shortening the duration of migraine attack (SMD = −1.64, 95% CI = [−2.35, −0.93]), and slowing average arterial cerebral blood flow velocity (SMD = −3.19, 95% CI = [−5.21, −1.17]), as well as being safe. Conclusions This systematic review revealed gastrodin is effective and safe in the treatment of migraine. Systematic review registration https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=197094, identifier: CRD42020197094.
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Affiliation(s)
- Xiu Zhou
- The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jingyi Shao
- Dongzhimen Hospital Beijing University of Chinese Medical, Beijing, China
| | - Xiuzhen Xie
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Hangzhou, China
| | - Yingqi Xu
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Hangzhou, China
| | - Tianyu Shao
- The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Zhuqing Jin
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China
- *Correspondence: Zhuqing Jin
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Hu P, Shao J, Qian G, Adeleye AS, Hao T. Removal of tetracycline by aerobic granular sludge from marine aquaculture wastewater: A molecular dynamics investigation. Bioresour Technol 2022; 355:127286. [PMID: 35545206 DOI: 10.1016/j.biortech.2022.127286] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 05/03/2022] [Accepted: 05/05/2022] [Indexed: 06/15/2023]
Abstract
Although biological treatment of marine aquaculture wastewater is promising, the fundamental principles driving the adsorption of tetracycline to microbial cell membrane are not well understood. Using a combination of experiments and molecular dynamics (MD) simulations, the mechanism underlying the biological removal of tetracycline from seawater was investigated. More than 90% tetracycline removal was achieved in an aerobic granular sludge system, with degradation accounting for 30% of total removal. A model of the tetracycline-dipalmitoylphosphatidylcholine lipid bilayers was established to elucidate the transport mechanism of tetracycline from bulk solution to microorganisms' cell membrane. 62% of the driving force for tetracycline adsorption on the cell membrane originated from electrostatic attraction. The electrophilic groups on tetracycline (amino and aromatic groups) were attracted to the phosphate groups in the cell membrane. Sodium ions, which are abundant in seawater, decreased the interaction energy between tetracycline and the cell membrane.
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Affiliation(s)
- Peng Hu
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau, China
| | - Jingyi Shao
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau, China
| | - Guangsheng Qian
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau, China
| | - Adeyemi S Adeleye
- Department of Civil and Environmental Engineering, University of California, Irvine, CA 92697-2175, USA
| | - Tianwei Hao
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau, China.
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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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Wu B, Yang J, Qin Z, Yang H, Shao J, Shang Y. Prognosis prediction of stage IV colorectal cancer patients by mRNA transcriptional profile. Cancer Med 2022; 11:4900-4912. [PMID: 35587572 PMCID: PMC9761091 DOI: 10.1002/cam4.4824] [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: 11/12/2021] [Revised: 01/27/2022] [Accepted: 05/05/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Stage IV colorectal cancer patients with liver metastasis represent a special group of CRC patients with poor prognosis. The prognostic factors have not been investigated for stage IV CRC patients undergoing primary cancer resection but not candidates for metastasis resection. METHODS Ninety-nine stage IV CRC patients who underwent primary cancer resection without metastasis resection were retrospectively recruited. Both whole-exome sequencing (WES) and RNA-seq were performed with frozen primary cancer tissues, using para-cancerous normal tissues as the control. Valid data were obtained from 78 patients for WES and 84 patients for RNA-seq. Univariate, multivariate Cox analyses were performed and Nomogram model was established to predict patient prognosis. RESULTS The correlation between patient prognosis and clinicopathological factors, mutational status, or mRNA level changes was examined. Univariate (p = 0.0007) and subsequent multivariate analyses on clinicopathological factors showed that location (left or right) was the only independent risk factor for patient prognosis (HR = 3.63; 95% CI: 1.56-8.40, p = 0.003), while T, N, M staging, gender, race, location (rectum or colon), and pathological types were not stratifying factors. The mutational status of APC, TP53, KRAS, TTN, SYNE1, SMAD4, PIK3CA, RYR2, and BRAF did not show significant stratification in patient prognosis. RNA-seq showed that genes related to membrane function, ion channels, transporters, or receptors were among those with significant mRNA level alterations. Univariate analysis identified 97 genes with significantly altered mRNA levels, while NEUROD1, FGF18, SFTA2, PLAC1, SAA2, DSCAML1, and OTOP3 were significant in multivariate analysis. A risk model was established to stratify the prognosis of stage IV CRC patients. A Nomogram model was established with these genes to predict individual patient prognosis. CONCLUSIONS A panel of eight genes with significant mRNA level alterations was capable of predicting the prognosis and risk of the specific patient group. Future prospective study is needed to validate the model.
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Affiliation(s)
- Bian Wu
- Department of General Surgery IIthe First People's Hospital of Yunnan ProvinceKunmingYunnanChina
| | - Jinwei Yang
- Department of General Surgery IIthe First People's Hospital of Yunnan ProvinceKunmingYunnanChina
| | - Zhiwei Qin
- Department of General SurgeryWenshan people's Hospital of Yunnan ProvinceYunnanChina
| | - Hongping Yang
- Department of Anus and Intestine SurgeryQujing Hospital of Traditional Chinese MedicineQujingYunnanChina
| | - Jingyi Shao
- Department of Reproductive Medicinethe First People's Hospital of Yunnan ProvinceKunmingYunnanChina
| | - Yun Shang
- Department of General Surgery IIthe First People's Hospital of Yunnan ProvinceKunmingYunnanChina
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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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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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Zhou X, Wu X, Luo X, Shao J, Guo D, Deng B, Wu Z. Effect of Vitamin D Supplementation on In Vitro Fertilization Outcomes: A Trial Sequential Meta-Analysis of 5 Randomized Controlled Trials. Front Endocrinol (Lausanne) 2022; 13:852428. [PMID: 35370977 PMCID: PMC8969598 DOI: 10.3389/fendo.2022.852428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 02/11/2022] [Indexed: 11/13/2022] Open
Abstract
Despite numerous studies indicating an imperative role of vitamin D for reproduction, the importance of vitamin D supplementation on in vitro fertilization (IVF) outcomes remains controversial. We therefore performed this meta-analysis to investigate the IVF outcomes of vitamin D supplementation in infertile women with vitamin D deficiency. We systematically searched PubMed, Embase and the Cochrane library for identifying all relevant studies published before August 2021. Pregnancy rate was defined as the primary outcome while good quality embryo, fertilization rate, ongoing pregnancy, and miscarriage were secondary outcomes. We used Review Manager 5.3 (RevMan) to conduct meta-analysis and examined the robustness of the primary outcome by trial sequential analysis. Five studies were included in the final analysis and it suggested that vitamin D supplementation was associated with improved chemical pregnancy rate (risk ratio [RR] = 1.53, 95% confidence interval [CI] = 1.06 to 2.20, p = 0.02) but not benefited in improving clinical pregnancy rate (RR = 1.34, 95% CI = 0.81 to 2.24, p = 0.25) and all secondary outcomes. Trial sequential analysis suggested further studies are needed to confirm this conclusion. We concluded that vitamin D supplementation should be prescribed to improve chemical pregnancy in infertile women with vitamin D deficiency and more studies are required to further confirm this finding.
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Affiliation(s)
- Xiaoting Zhou
- Reproductive Medical Center of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
- Department of Reproductive Medicine, The First People’s Hospital of Yunnan Province, Kunming, China
- Medical School, Kunming University of Science and Technology, Kunming, China
| | - Xiaomei Wu
- Reproductive Medical Center of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
- Department of Reproductive Medicine, The First People’s Hospital of Yunnan Province, Kunming, China
- Medical School, Kunming University of Science and Technology, Kunming, China
| | - Xi Luo
- Reproductive Medical Center of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
- Department of Reproductive Medicine, The First People’s Hospital of Yunnan Province, Kunming, China
- Medical School, Kunming University of Science and Technology, Kunming, China
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China
| | - Jingyi Shao
- Reproductive Medical Center of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
- Department of Reproductive Medicine, The First People’s Hospital of Yunnan Province, Kunming, China
| | - Dongqun Guo
- Department of Urology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Bo Deng
- Reproductive Medical Center of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
- Department of Reproductive Medicine, The First People’s Hospital of Yunnan Province, Kunming, China
- *Correspondence: Ze Wu, ; Bo Deng,
| | - Ze Wu
- Reproductive Medical Center of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
- Department of Reproductive Medicine, The First People’s Hospital of Yunnan Province, Kunming, China
- *Correspondence: Ze Wu, ; Bo Deng,
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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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He Y, Luo L, Xie L, Shao J, Liu Y, You J, Ye Y, Zhang Z. Detection of magneto-optical Kerr signals via weak measurement with frequency pointer. Opt Lett 2021; 46:4140-4143. [PMID: 34469959 DOI: 10.1364/ol.428486] [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] [Received: 04/20/2021] [Accepted: 07/22/2021] [Indexed: 06/13/2023]
Abstract
Detection of the magneto-optical Kerr effect with high precision is of great significance but has challenges in the field of magnetic physics and spintronic devices. Kerr rotation angle and Kerr ellipticity always coexist and are difficult to distinguish, which jointly determines the light intensity received by the detector and limits the improvement of measurement precision. In this Letter, a nonlinear weak measurement scheme for magneto-optical Kerr signals with a frequency pointer is proposed. The Kerr rotation and Kerr ellipticity can be separately detected by constructing different pre-selections and choosing the appropriate coupling strength. Moreover, two signals obtained through the weak measurement scheme have higher precision and signal-to-noise ratio compared with the standard polarimetry scheme. Our method may have important applications in the field of magneto-optic parameters measurement or magnetic sensors.
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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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Hemstock EJ, Shao J, Zhao B, Hall GL, Wheeler AJ, Dharmage SC, Melody SM, Dalton MF, Foong RE, Williamson GJ, Chappell KJ, Abramson MJ, Negishi K, Johnston FH, Zosky GR. Associations between respiratory and vascular function in early childhood. Respirology 2021; 26:1060-1066. [PMID: 34339550 DOI: 10.1111/resp.14117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 05/12/2021] [Accepted: 07/01/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND OBJECTIVE The link between respiratory and vascular health is well documented in adult populations. Impaired lung function is consistently associated with thicker arteries and higher incidence of cardiovascular disease. However, there are limited data on this relationship in young children and the studies that exist have focussed on populations at high risk of cardiorespiratory morbidity. We determined if an association exists between respiratory and cardiovascular function in young children and, if so, whether it is confounded by known cardiorespiratory risk factors. METHODS Respiratory and vascular data from a prospective cohort study established to evaluate the health implications 3 years after coal mine fire smoke exposure in children aged 3-5 years were used. Respiratory function was measured using the forced oscillation technique and included resistance at 5 Hz (R5 ), reactance at 5 Hz (X5 ) and area under the reactance curve (AX). Vascular health was measured by carotid intima-media thickness (ultrasound) and pulse wave velocity (arterial tonometry). Regression analyses were used to examine the relationship between the respiratory Z-scores and cardiovascular measures. Subsequent analyses were adjusted for potential confounding by maternal smoking during pregnancy, maternal education and exposure to fine particulate matter <2.5 μm in aerodynamic diameter (PM2.5 ). RESULTS Peripheral lung function (X5 and AX), but not respiratory system resistance (R5 ), was associated with vascular function. Adjustment for maternal smoking, maternal education and early life exposure to PM2.5 had minimal effect on these associations. CONCLUSION These observations suggest that peripheral lung stiffness is associated with vascular stiffness and that this relationship is established early in life.
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Affiliation(s)
- Emily J Hemstock
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Jingyi Shao
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Bing Zhao
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Graham L Hall
- Children's Lung Health, Wal-yan Respiratory Research Centre, Telethon Kids Institute, Nedlands, Western Australia, Australia.,School of Physiotherapy and Exercise Science, Curtin University, Bentley, Western Australia, Australia
| | - Amanda J Wheeler
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.,Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - Shyamali C Dharmage
- School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Shannon M Melody
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Marita F Dalton
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Rachel E Foong
- Children's Lung Health, Wal-yan Respiratory Research Centre, Telethon Kids Institute, Nedlands, Western Australia, Australia.,School of Physiotherapy and Exercise Science, Curtin University, Bentley, Western Australia, Australia
| | - Grant J Williamson
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Katherine J Chappell
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Michael J Abramson
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Kazuaki Negishi
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.,Sydney Medical School Nepean, The University of Sydney, Sydney, New South Wales, Australia
| | - Fay H Johnston
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Graeme R Zosky
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.,Tasmanian School of Medicine, University of Tasmania, Hobart, Tasmania, Australia
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28
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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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29
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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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30
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Melody SM, Wheeler AJ, Dalton M, Williamson GJ, Negishi K, Willis G, Shao J, Zhao B, Chappell K, Wills K, Reeves M, Emmerson KM, Ford J, Dennekamp M, Foong RE, Abramson MJ, Ikin J, Walker J, Venn A, Dharmage S, Hall G, Zosky G, Johnston F. Cohort Profile: The Hazelwood Health Study Latrobe Early Life Follow-Up (ELF) Study. Int J Epidemiol 2021; 49:1779-1780. [PMID: 33083835 DOI: 10.1093/ije/dyaa136] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 07/06/2020] [Indexed: 11/14/2022] Open
Affiliation(s)
- Shannon M Melody
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Amanda J Wheeler
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.,Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - Marita Dalton
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Grant J Williamson
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia
| | - Kazuaki Negishi
- Sydney Medical School Nepean, Charles Perkins Centre Nepean, University of Sydney, NSW, Australia
| | - Gabriela Willis
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Jingyi Shao
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Bing Zhao
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Katherine Chappell
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Karen Wills
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Melanie Reeves
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Kathryn M Emmerson
- Climate Science Centre, CSIRO Oceans & Atmosphere, Aspendale, VIC, Australia
| | - Jane Ford
- Clinical and Population Perinatal Health Research, Kolling Institute, St Leonards, NSW, Australia
| | - Martine Dennekamp
- Environmental Public Health, Environment Protection Authority Victoria, Melbourne, VIC, Australia
| | - Rachel E Foong
- Children's Lung Health, Telethon Kids Institute, Perth, WA, Australia.,School of Physiotherapy and Exercise Sciences, Curtin University, Perth, WA, Australia
| | - Michael J Abramson
- School of Public Health & Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Jillian Ikin
- School of Public Health & Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Judi Walker
- School of Rural Health, Monash University, Melbourne, VIC, Australia
| | - Alison Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Shyamali Dharmage
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Graham Hall
- Children's Lung Health, Telethon Kids Institute, Perth, WA, Australia.,School of Physiotherapy and Exercise Sciences, Curtin University, Perth, WA, Australia
| | - Graeme Zosky
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.,School of Medicine, Faculty of Health, University of Tasmania, Hobart, Tasmania, Australia
| | - Fay Johnston
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
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31
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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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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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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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Shao J, Zosky GR, Wheeler AJ, Dharmage S, Dalton M, Williamson GJ, O'Sullivan T, Chappell K, Knibbs LD, Johnston FH. Exposure to air pollution during the first 1000 days of life and subsequent health service and medication usage in children. Environ Pollut 2020; 256:113340. [PMID: 31662257 DOI: 10.1016/j.envpol.2019.113340] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 10/01/2019] [Accepted: 10/01/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Evidence of health effects following early life exposure to short-to-medium duration of high pollution levels is extremely limited. OBJECTIVES We aimed to evaluate the associations between: 1. intrauterine exposure to fine particulate matter (PM2.5) from coal mine fire emissions and the frequencies of general practitioner attendances and dispensations of prescribed asthma inhalers, steroid skin creams, and antibiotics during the first year of life; 2. infant exposure and those outcomes during the year following the fire. METHODS All participants were recruited from the Latrobe Valley of Victoria, Australia. Participants' 24-h average and hourly peak mine fire-specific PM2.5 exposures from 09/02/2014 to 31/03/2014 were estimated using chemical transport modelling. Outcome data were obtained from the Australian Medicare Benefits Schedule and Pharmaceutical Benefits Scheme from each child's birth to 31/12/2016. We used negative binomial and logistic regression models to independently assess risks of the outcomes associated with every 10 and 100 μg m-3 increase in average or peak PM2.5 exposure, respectively, while adjusting for potential confounders. RESULTS We included 286 of 311 children whose parents consented to be linked, comprising 77 with no exposure, 88 with intrauterine exposure and 121 with exposure in infancy. 10- and 100- μg m-3 increases in average and peak PM2.5 exposure during infancy were associated with greater incidence of antibiotics being dispensed during the year following the fire: the adjusted incidence rate ratios were 1.24 (95% CI 1.02, 1.50, p = 0.036) and 1.14 (1.00, 1.31, p = 0.048) respectively. No other significant associations were observed. CONCLUSION Exposure to coal mine fire emissions during infancy was associated with increased dispensing of antibiotics. This could reflect increased childhood infections or increased prescriptions of antibiotics in the year following the fire.
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Affiliation(s)
- Jingyi Shao
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania 7000, Australia
| | - Graeme R Zosky
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania 7000, Australia; School of Medicine, Faculty of Health, University of Tasmania, Hobart, Tasmania 7000, Australia
| | - Amanda J Wheeler
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania 7000, Australia; Behaviour, Environment and Cognition Research Program, Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria 3000, Australia
| | - Shyamali Dharmage
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Carlton, Victoria 3052, Australia
| | - Marita Dalton
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania 7000, Australia
| | - Grant J Williamson
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania 7000, Australia
| | - Tierney O'Sullivan
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania 7000, Australia
| | - Katherine Chappell
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania 7000, Australia
| | - Luke D Knibbs
- School of Public Health, Faculty of Medicine, The University of Queensland, Herston, Queensland 4006, Australia
| | - Fay H Johnston
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania 7000, Australia.
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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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Chiu CY, Zhang B, Wang S, Shao J, Lakhal-Chaieb ML, Cook RJ, Wilson AF, Bailey-Wilson JE, Xiong M, Fan R. Gene-based association analysis of survival traits via functional regression-based mixed effect cox models for related samples. Genet Epidemiol 2019; 43:952-965. [PMID: 31502722 DOI: 10.1002/gepi.22254] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [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: 03/14/2019] [Revised: 06/26/2019] [Accepted: 07/16/2019] [Indexed: 01/09/2023]
Abstract
The importance to integrate survival analysis into genetics and genomics is widely recognized, but only a small number of statisticians have produced relevant work toward this study direction. For unrelated population data, functional regression (FR) models have been developed to test for association between a quantitative/dichotomous/survival trait and genetic variants in a gene region. In major gene association analysis, these models have higher power than sequence kernel association tests. In this paper, we extend this approach to analyze censored traits for family data or related samples using FR based mixed effect Cox models (FamCoxME). The FamCoxME model effect of major gene as fixed mean via functional data analysis techniques, the local gene or polygene variations or both as random, and the correlation of pedigree members by kinship coefficients or genetic relationship matrix or both. The association between the censored trait and the major gene is tested by likelihood ratio tests (FamCoxME FR LRT). Simulation results indicate that the LRT control the type I error rates accurately/conservatively and have good power levels when both local gene or polygene variations are modeled. The proposed methods were applied to analyze a breast cancer data set from the Consortium of Investigators of Modifiers of BRCA1 and BRCA2 (CIMBA). The FamCoxME provides a new tool for gene-based analysis of family-based studies or related samples.
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Affiliation(s)
- Chi-Yang Chiu
- Division of Biostatistics, Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Bingsong Zhang
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, District of Columbia
| | - Shuqi Wang
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, District of Columbia
| | - Jingyi Shao
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, District of Columbia
| | | | - Richard J Cook
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada
| | - Alexander F Wilson
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
| | - Joan E Bailey-Wilson
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
| | - Momiao Xiong
- Department of Biostatistics, Human Genetics Center, University of Texas-Houston, Houston, Texas
| | - Ruzong Fan
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, District of Columbia
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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, Zosky GR, Hall GL, Wheeler AJ, Dharmage S, Melody S, Dalton M, Foong RE, O'Sullivan T, Williamson GJ, Chappell K, Abramson MJ, Johnston FH. Early life exposure to coal mine fire smoke emissions and altered lung function in young children. Respirology 2019; 25:198-205. [DOI: 10.1111/resp.13617] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2019] [Revised: 04/16/2019] [Accepted: 05/14/2019] [Indexed: 12/27/2022]
Affiliation(s)
- Jingyi Shao
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart TAS Australia
| | - Graeme R. Zosky
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart TAS Australia
- School of Medicine, Faculty of HealthUniversity of Tasmania Hobart TAS Australia
| | - Graham L. Hall
- Children's Lung HealthTelethon Kids Institute Perth WA Australia
- School of Physiotherapy and Exercise ScienceCurtin University Perth WA Australia
| | - Amanda J. Wheeler
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart TAS Australia
- Behaviour, Environment and Cognition Research ProgramMary MacKillop Institute for Health Research, Australian Catholic University Melbourne VIC Australia
| | - Shyamali Dharmage
- Allergy and Lung Health Unit, Melbourne School of Population and Global HealthUniversity of Melbourne Melbourne VIC Australia
| | - Shannon Melody
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart TAS Australia
| | - Marita Dalton
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart TAS Australia
| | - Rachel E. Foong
- Children's Lung HealthTelethon Kids Institute Perth WA Australia
- School of Physiotherapy and Exercise ScienceCurtin University Perth WA Australia
| | - Tierney O'Sullivan
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart TAS Australia
| | | | - Katherine Chappell
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart TAS Australia
| | - Michael J. Abramson
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive MedicineMonash University Melbourne VIC Australia
| | - Fay H. Johnston
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart TAS Australia
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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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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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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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