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Liu W, You W, Lan Z, Ren Y, Gao S, Li S, Chen WW, Huang C, Zeng Y, Xiao N, Wang Z, Xie H, Ma H, Chen Y, Wang G, Chen C, Li H. An immune cell map of human lung adenocarcinoma development reveals an anti-tumoral role of the Tfh-dependent tertiary lymphoid structure. Cell Rep Med 2024; 5:101448. [PMID: 38458196 PMCID: PMC10983046 DOI: 10.1016/j.xcrm.2024.101448] [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: 04/27/2023] [Revised: 10/10/2023] [Accepted: 02/08/2024] [Indexed: 03/10/2024]
Abstract
The immune responses during the initiation and invasion stages of human lung adenocarcinoma (LUAD) development are largely unknown. Here, we generated a single-cell RNA sequencing map to decipher the immune dynamics during human LUAD development. We found that T follicular helper (Tfh)-like cells, germinal center B cells, and dysfunctional CD8+ T cells increase during tumor initiation/invasion and form a tertiary lymphoid structure (TLS) inside the tumor. This TLS starts with an aggregation of CD4+ T cells and the generation of CXCL13-expressing Tfh-like cells, followed by an accumulation of B cells, and then forms a CD4+ T and B cell aggregate. TLS and its associated cells are correlated with better patient survival. Inhibiting TLS formation by Tfh or B cell depletion promotes tumor growth in mouse models. The anti-tumoral effect of the Tfh-dependent TLS is mediated through interleukin-21 (IL-21)-IL-21 receptor signaling. Our study establishes an anti-tumoral role of the Tfh-dependent TLS in the development of LUAD.
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Affiliation(s)
- Wei Liu
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzhen Zhongshan Institute for Reproductive Medicine and Genetics, Shenzhen Zhongshan Obstetrics & Gynecology Hospital, Shenzhen, China
| | - Wenhua You
- Department of Immunology, School of Basic Medical Sciences, Wuxi Medical Center, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing 211166, Jiangsu, China; School of Chemistry and Chemical Engineering, Southeast University, Nanjing, China
| | - Zhenwei Lan
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Yijiu Ren
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Shuangshu Gao
- Department of Pathology, Harbin Medical University, Harbin, China
| | - Shuchao Li
- Department of Automation, Xiamen University, Xiamen, Fujian, China
| | - Wei-Wei Chen
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Chunyu Huang
- Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzhen Zhongshan Institute for Reproductive Medicine and Genetics, Shenzhen Zhongshan Obstetrics & Gynecology Hospital, Shenzhen, China; Guangdong Engineering Technology Research Center of Reproductive Immunology for Peri-implantation, Shenzhen, Guangdong, China
| | - Yong Zeng
- Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzhen Zhongshan Institute for Reproductive Medicine and Genetics, Shenzhen Zhongshan Obstetrics & Gynecology Hospital, Shenzhen, China; Guangdong Engineering Technology Research Center of Reproductive Immunology for Peri-implantation, Shenzhen, Guangdong, China
| | - Nengming Xiao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Zeshuai Wang
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Huikang Xie
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Huan Ma
- School of Medicine, Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, China
| | - Yun Chen
- Department of Immunology, School of Basic Medical Sciences, Wuxi Medical Center, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing 211166, Jiangsu, China.
| | - Guangsuo Wang
- The Department of Thoracic Surgery, Shenzhen Institute of Respiratory Disease, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Hanjie Li
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
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Li Y, Zhang P, Sun C, Xiao N, Yang Y, Zhong B, Fang C, Kui G, Liu Z, Li F, Yang S, Feng Y. [Effectiveness of the central government-funded echinococcosis control programme in Tianzhu Tibetan Autonomous County, Gansu Province from 2007 to 2022]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2024; 35:626-632. [PMID: 38413024 DOI: 10.16250/j.32.1374.2023179] [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] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
OBJECTIVE To evaluate the effectiveness of the central government-funded echinococcosis control programme in Tianzhu Tibetan Autonomous County, Gansu Province from 2007 to 2022, so as to provide insights into echinococcosis control. METHODS Administrative villages were sampled using a multi-stage cluster random sampling method from Tianzhu Tibetan Autonomous County, Gansu Province from 2007 to 2022, and all residents at ages of 12 years and older in the sampled villages were screened for echinococcosis, and schools were sampled using a cluster sampling method, and all children at ages of 12 years and older in the sampled schools were screened for echinococcosis. Domestic dogs were sampled using a systematic random sampling method, and one domestic dog stool sample was collected from each household. Stray dog stool samples were collected outside the villages, and Echinococcus coproantigens were detected using enzyme-linked immunosorbent assay in domestic and stray dogs. In addition, echinococcosis was screened in sheep and cattle in designated slaughterhouses in Tianzhu Tibetan Autonomous County. The trends in the prevalence of echinococcosis in humans and livestock and the positive rate of Echinococcus coproantigens in dogs were examined with the Cochran-Armitage trend test. In addition, individuals screened for echinococcosis were randomly sampled from 2007 to 2022 for survey on the awareness of echinococcosis control knowledge. RESULTS A total of 290 356 person-times were screened for echinococcosis among residents at ages of 12 years and older in Tianzhu Tibetan Autonomous County, Gansu Province from 2007 to 2022, with 1 094 residents detected with cystic echinococcosis, and the detection of echinococcosis appeared a tendency towards a gradual decline over years (χ2 = 358.602, P < 0.001). A total of 32 931 person-times were screened for echinococcosis among children at ages of 12 years and older in Tianzhu Tibetan Autonomous County, Gansu Province from 2007 to 2022, with 296 children detected with echinococcosis, and the detection of echinococcosis appeared a tendency towards a gradual decline over years (χ2 = 267.673, P < 0.001). A total of 33 230 domestic dog stool samples were tested for Echinococcus coproantigens in Tianzhu Tibetan Autonomous County, Gansu Province from 2007 to 2022, with 1 777 Echinococcus coproantigens-positive samples tested, and the positive rate of Echinococcus coproantigens appeared a tendency towards a decline in domestic dogs over years (χ2 = 2 210.428, P < 0.001), while the positive rate of Echinococcus coproantigens showed a tendency towards a rise in domestic animals from 2016 to 2022 (χ2 = 37.745, P < 0.001). The positive rate of Echinococcus coproantigens remained relatively stable in stray dogs in Tianzhu Tibetan Autonomous County, Gansu Province from 2019 to 2022 (χ2 = 0.315, P = 0.575). A total of 10 973 sheep were screened for echinococcosis in Tianzhu Tibetan Autonomous County from 2007 to 2022, with 334 sheep detected with echinococcosis, and the detection of echinococcosis appeared a tendency towards a decline in sheep over years (χ2 = 53.579, P < 0.001); however, there was no significant change in the detection of echinococcosis during the period from 2015 through 2022 (χ2 = 1.520, P = 0.218). A total of 2 400 cattle were screened for echinococcosis in Tianzhu Tibetan Autonomous County from 2017 to 2022, with 231 cattle detected with echinococcosis, and the detection of echinococcosis showed a tendency towards a decline over years (χ2 = 5.579, P < 0.05). The awareness of echinococcosis control knowledge increased from 44.37% in 2007 to 94.00% in 2022 among residents at ages of 12 years and older and from 52.50% in 2007 to 92.50% in 2022 among children at ages of 12 years and older in Tianzhu Tibetan Autonomous County, respectively. CONCLUSIONS There has been a reduction in the detection of echinococcosis in humans and domestic animals and the positive rate of Echinococcus coproantigens in dogs and a rise in the awareness of the echinococcosis control knowledge following the implementation of the central government-funded echinococcosis control programme in Tianzhu Tibetan Autonomous County, Gansu Province; however, integrated echinococcosis control measures are still required for further control of the prevalence of echinococcosis.
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Affiliation(s)
- Y Li
- Tianzhu Tibetan Autonomous County Center for Disease Control and Prevention, Wuwei, Gansu 733200, China
| | - P Zhang
- Tianzhu Tibetan Autonomous County Center for Disease Control and Prevention, Wuwei, Gansu 733200, China
| | - C Sun
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Health Commission Key Laboratory on Parasite and Vector Biology, WHO Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
| | - N Xiao
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Health Commission Key Laboratory on Parasite and Vector Biology, WHO Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
| | - Y Yang
- Tianzhu Tibetan Autonomous County Center for Disease Control and Prevention, Wuwei, Gansu 733200, China
| | - B Zhong
- Tianzhu Tibetan Autonomous County Center for Disease Control and Prevention, Wuwei, Gansu 733200, China
| | - C Fang
- Tianzhu Tibetan Autonomous County Center for Disease Control and Prevention, Wuwei, Gansu 733200, China
| | - G Kui
- Tianzhu Tibetan Autonomous County Center for Disease Control and Prevention, Wuwei, Gansu 733200, China
| | - Z Liu
- Gansu Center for Disease Control and Prevention, Lanzhou, Gansu 730000, China
| | - F Li
- Gansu Center for Disease Control and Prevention, Lanzhou, Gansu 730000, China
| | - S Yang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Health Commission Key Laboratory on Parasite and Vector Biology, WHO Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
| | - Y Feng
- Gansu Center for Disease Control and Prevention, Lanzhou, Gansu 730000, China
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Liang R, Rao H, Pang Q, Xu R, Jiao Z, Lin L, Li L, Zhong L, Zhang Y, Guo Y, Xiao N, Liu S, Chen XF, Su XZ, Li J. Human ApoE2 protects mice against Plasmodium berghei ANKA experimental cerebral malaria. mBio 2023; 14:e0234623. [PMID: 37874152 PMCID: PMC10746236 DOI: 10.1128/mbio.02346-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 09/12/2023] [Indexed: 10/25/2023] Open
Abstract
Cerebral malaria (CM) is a severe neurological complication of Plasmodium falciparum infection with acute brain lesions. Genetic variations in both host and parasite have been associated with susceptibility to CM, but the underlying molecular mechanism remains unclear. Here, we demonstrate that variants of human apolipoprotein E (hApoE) impact the outcome of Plasmodium berghei ANKA (PbA)-induced experimental cerebral malaria (ECM). Mice carrying the hApoE2 isoform have fewer intracerebral hemorrhages and are more resistant to ECM than mice bearing the hApoE3, hApoE4, or endogenous murine ApoE (mApoE). hApoE2 mice infected with PbA showed increased splenomegaly and IFN-γ levels in serum but reduced cerebral cell apoptosis that correlated with the survival advantage against ECM. In addition, upregulated expression of genes associated with lipid metabolism and downregulated expression of genes linked to immune responses were observed in the brain tissue of hApoE2 mice relative to ECM-susceptible mice after PbA infection. Notably, serum cholesterol and the cholesterol content of brain-infiltrating CD8+ T cells are significantly higher in infected hApoE2 mice, which might contribute to a significant reduction in the sequestration of brain CD8+ T cells. Consistent with the finding that fewer brain lesions occurred in infected hApoE2 mice, fewer behavioral deficits were observed in the hApoE2 mice. Finally, a meta-analysis of publicly available data also showed an increased hApoE2 allele in the malaria-endemic African population, suggesting malaria selection. This study shows that hApoE2 protects mice from ECM through suppression of CD8+ T cell activation and migration to the brain and enhanced cholesterol metabolism.IMPORTANCECerebral malaria (CM) is the deadliest complication of malaria infection with an estimated 15%-25% mortality. Even with timely and effective treatment with antimalarial drugs such as quinine and artemisinin derivatives, survivors of CM may suffer long-term cognitive and neurological impairment. Here, we show that human apolipoprotein E variant 2 (hApoE2) protects mice from experimental CM (ECM) via suppression of CD8+ T cell activation and infiltration to the brain, enhanced cholesterol metabolism, and increased IFN-γ production, leading to reduced endothelial cell apoptosis, BBB disruption, and ECM symptoms. Our results suggest that hApoE can be an important factor for risk assessment and treatment of CM in humans.
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Affiliation(s)
- Rui Liang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Hengjun Rao
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Qin Pang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Ruixue Xu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Zhiwei Jiao
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Lirong Lin
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Li Li
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Li Zhong
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Yixin Zhang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Yazhen Guo
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Nengming Xiao
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Shengfa Liu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Xiao-Fen Chen
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, Fujian, China
- Shenzhen Research Institute of Xiamen University, Shenzhen, Guangdong, China
| | - Xin-zhuan Su
- Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Jian Li
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, China
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Wang Y, Zhang Q, He T, Wang Y, Lu T, Wang Z, Wang Y, Lin S, Yang K, Wang X, Xie J, Zhou Y, Hong Y, Liu WH, Mao K, Cheng SC, Chen X, Li Q, Xiao N. The transcription factor Zeb1 controls homeostasis and function of type 1 conventional dendritic cells. Nat Commun 2023; 14:6639. [PMID: 37863917 PMCID: PMC10589231 DOI: 10.1038/s41467-023-42428-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 10/11/2023] [Indexed: 10/22/2023] Open
Abstract
Type 1 conventional dendritic cells (cDC1) are the most efficient cross-presenting cells that induce protective cytotoxic T cell response. However, the regulation of their homeostasis and function is incompletely understood. Here we observe a selective reduction of splenic cDC1 accompanied by excessive cell death in mice with Zeb1 deficiency in dendritic cells, rendering the mice more resistant to Listeria infection. Additionally, cDC1 from other sources of Zeb1-deficient mice display impaired cross-presentation of exogenous antigens, compromising antitumor CD8+ T cell responses. Mechanistically, Zeb1 represses the expression of microRNA-96/182 that target Cybb mRNA of NADPH oxidase Nox2, and consequently facilitates reactive-oxygen-species-dependent rupture of phagosomal membrane to allow antigen export to the cytosol. Cybb re-expression in Zeb1-deficient cDC1 fully restores the defective cross-presentation while microRNA-96/182 overexpression in Zeb1-sufficient cDC1 inhibits cross-presentation. Therefore, our results identify a Zeb1-microRNA-96/182-Cybb pathway that controls cross-presentation in cDC1 and uncover an essential role of Zeb1 in cDC1 homeostasis.
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Affiliation(s)
- Yan Wang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Quan Zhang
- National Institute for Data Science in Health and Medicine, Xiamen University, Fujian, 361102, China
- School of Medicine, Xiamen University, Xiamen, Fujian, 361102, China
| | - Tingting He
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Yechen Wang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Tianqi Lu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Zengge Wang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Yiyi Wang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Shen Lin
- School of Medicine, Xiamen University, Xiamen, Fujian, 361102, China
| | - Kang Yang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Xinming Wang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Jun Xie
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Ying Zhou
- National Institute for Data Science in Health and Medicine, Xiamen University, Fujian, 361102, China
- School of Medicine, Xiamen University, Xiamen, Fujian, 361102, China
| | - Yazhen Hong
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Wen-Hsien Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Kairui Mao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Shih-Chin Cheng
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Xin Chen
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Qiyuan Li
- National Institute for Data Science in Health and Medicine, Xiamen University, Fujian, 361102, China.
- School of Medicine, Xiamen University, Xiamen, Fujian, 361102, China.
- Department of Hematology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, China.
| | - Nengming Xiao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China.
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Lin C, Ni X, Xiao N, Yang F, Guo B, Liao D, Li J. Prognostic Value of Tumor Volume Reduction during Radiotherapy in Patients with Locally Advanced Cervical Cancer in Different Risk Groups. Int J Radiat Oncol Biol Phys 2023; 117:e527. [PMID: 37785639 DOI: 10.1016/j.ijrobp.2023.06.1803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) To evaluate the risk factors of patients with locally advanced cervical cancer (LACC) undergoing radical radiotherapy (with or without concurrent chemotherapy) and to assess the prognostic value of tumor volume regression (TVR) based on magnetic resonance imaging (MRI) in different risk groups. MATERIALS/METHODS A retrospective analysis was performed on 176 individuals diagnosed with stage IIA-IVA cervical cancer (CC) who underwent radical intensity-modulated radiotherapy in our center between January 2012 and December 2020. The tumor volume before radiotherapy (TVp) and before brachytherapy (TVmid) were evaluated based on three-dimensional MRI images, TVR = (TVp -TVmid)/TVp × 100%. Kaplan-Meier curves were used to assess patient's overall survival (OS) and progression-free survival (PFS). Prognostic factors were identified using Cox proportional hazards models. RESULTS For the entire cohort, patients with TVR ≥ 94% had better 5-year OS (82.7% vs 49.8%, p<0.001) and 5-year PFS (82.5% vs 51.1%, p<0.001) compared to TVR < 94%. Patients with TVR ≥ 94% were more likely to receive concurrent chemoradiotherapy (CCRT) than those with TVR < 94% (70.1% vs 40.5%, p<0.05). Among patients undergoing CCRT, those with a TVR ≥ 94% had a better prognosis than those with a TVR < 94%. However, among patients who received RT alone, those with TVR ≥ 94% had better PFS but no statistically significant difference in OS. Likewise, among patients with CYFRA21-1 < 7.7 ng/ml, patients with TVR ≥ 94% had a better prognosis. However, TVR was not a prognostic factor in patients with CYFRA21-1 ≥ 7.7 ng/ml. Both CYFRA21-1 (OS, PFS interaction, p<0.001) and FIGO stage (PFS interaction, p = 0.035) were found to significantly impact predictive effects of TVR. CONCLUSION In LACC patients with CRYFA21-1 < 7.7 ng/ml who received CCRT, TVR was an important prognostic factor. However, in patients with CRYFA21-1 ≥ 7.7 ng/ml who received RT alone, the prognostic value of TVR needs to be further explored.
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Affiliation(s)
- C Lin
- Department of Radiation Oncology, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, Fujian, China, Longyan, Fujian, China
| | - X Ni
- Department of Radiation Oncology, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, Fujian, China, Longyan, Fujian, China
| | - N Xiao
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China
| | - F Yang
- Department of Radiation Oncology, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, Fujian, China, Longyan, Fujian, China
| | - B Guo
- Department of Radiation Oncology, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, Fujian, China, Longyan, Fujian, China
| | - D Liao
- Department of Radiation Oncology, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, Fujian, China, Longyan, Fujian, China
| | - J Li
- Department of Radiation Oncology, College of Clinical Medicine for Oncology, Fujian Medical University, Fuzhou, Fujian, China, Fuhzou, Fujian, China
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Fu Y, Wang J, Liu C, Liao K, Gao X, Tang R, Fan B, Hong Y, Xiao N, Xiao C, Liu WH. Glycogen synthase kinase 3 controls T-cell exhaustion by regulating NFAT activation. Cell Mol Immunol 2023; 20:1127-1139. [PMID: 37553428 PMCID: PMC10541428 DOI: 10.1038/s41423-023-01075-0] [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: 03/10/2023] [Accepted: 07/26/2023] [Indexed: 08/10/2023] Open
Abstract
Cellular immunity mediated by CD8+ T cells plays an indispensable role in bacterial and viral clearance and cancers. However, persistent antigen stimulation of CD8+ T cells leads to an exhausted or dysfunctional cellular state characterized by the loss of effector function and high expression of inhibitory receptors during chronic viral infection and in tumors. Numerous studies have shown that glycogen synthase kinase 3 (GSK3) controls the function and development of immune cells, but whether GSK3 affects CD8+ T cells is not clearly elucidated. Here, we demonstrate that mice with deletion of Gsk3α and Gsk3β in activated CD8+ T cells (DKO) exhibited decreased CTL differentiation and effector function during acute and chronic viral infection. In addition, DKO mice failed to control tumor growth due to the upregulated expression of inhibitory receptors and augmented T-cell exhaustion in tumor-infiltrating CD8+ T cells. Strikingly, anti-PD-1 immunotherapy substantially restored tumor rejection in DKO mice. Mechanistically, GSK3 regulates T-cell exhaustion by suppressing TCR-induced nuclear import of NFAT, thereby in turn dampening NFAT-mediated exhaustion-related gene expression, including TOX/TOX2 and PD-1. Thus, we uncovered the molecular mechanisms underlying GSK3 regulation of CTL differentiation and T-cell exhaustion in anti-tumor immune responses.
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Affiliation(s)
- Yubing Fu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Science, Xiamen University, Xiamen, 361102, Fujian, China.
| | - Jinjia Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Science, Xiamen University, Xiamen, 361102, Fujian, China
| | - Chenfeng Liu
- Department of Cell Biology, School of Life Science, Anhui Medical University, Hefei, 230031, Anhui, China
| | - Kunyu Liao
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Science, Xiamen University, Xiamen, 361102, Fujian, China
| | - Xianjun Gao
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Science, Xiamen University, Xiamen, 361102, Fujian, China
| | - Ronghan Tang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Science, Xiamen University, Xiamen, 361102, Fujian, China
| | - Binbin Fan
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Science, Xiamen University, Xiamen, 361102, Fujian, China
| | - Yazhen Hong
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Science, Xiamen University, Xiamen, 361102, Fujian, China
| | - Nengming Xiao
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Science, Xiamen University, Xiamen, 361102, Fujian, China
| | - Changchun Xiao
- Sanofi Institute for Biomedical Research, Suzhou, Jiangsu, 215123, China
| | - Wen-Hsien Liu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Science, Xiamen University, Xiamen, 361102, Fujian, China.
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7
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Bakker LMML, Xiao N, Lynch S, van de Ven AAF, UpdePac A, Schaap M, Buls N, de Mey J, van de Vosse FN, Taylor CA. Preclinical validation of the advection diffusion flow estimation method using computational patient specific coronary tree phantoms. Int J Numer Method Biomed Eng 2023; 39:e3746. [PMID: 37459894 DOI: 10.1002/cnm.3746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/24/2023] [Accepted: 06/11/2023] [Indexed: 09/02/2023]
Abstract
Coronary computed tomography angiography (CCTA) does not allow the quantification of reduced blood flow due to coronary artery disease (CAD). In response, numerical methods based on the CCTA image have been developed to compute coronary blood flow and assess the impact of disease. However to compute blood flow in the coronary arteries, numerical methods require specification of boundary conditions that are difficult to estimate accurately in a patient-specific manner. We describe herein a new noninvasive flow estimation method, called Advection Diffusion Flow Estimation (ADFE), to compute coronary artery flow from CCTA to use as boundary conditions for numerical models of coronary blood flow. ADFE uses image contrast variation along the tree-like structure to estimate flow in each vessel. For validating this method we used patient specific software phantoms on which the transport of contrast was simulated. This controlled validation setting enables a direct comparison between estimated flow and actual flow and a detailed investigation of factors affecting accuracy. A total of 10 CCTA image data sets were processed to extract all necessary information for simulating contrast transport. A spectral element method solver was used for computing the ground truth simulations with high accuracy. On this data set, the ADFE method showed a high correlation coefficient of 0.998 between estimated flow and the ground truth flow together with an average relative error of only 1 % . Comparing the ADFE method with the best method currently available (TAFE) for image-based blood flow estimation, which showed a correlation coefficient of 0.752 and average error of 20 % , it can be concluded that the ADFE method has the potential to significantly improve the quantification of coronary artery blood flow derived from contrast gradients in CCTA images.
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Affiliation(s)
- L M M L Bakker
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - N Xiao
- HeartFlow, Inc., Mountain View, California, USA
| | - S Lynch
- HeartFlow, Inc., Mountain View, California, USA
| | - A A F van de Ven
- Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - A UpdePac
- HeartFlow, Inc., Mountain View, California, USA
| | - M Schaap
- HeartFlow, Inc., Mountain View, California, USA
| | - N Buls
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Jette, Belgium
| | - J de Mey
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Jette, Belgium
| | - F N van de Vosse
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - C A Taylor
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- HeartFlow, Inc., Mountain View, California, USA
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Gao ZX, Zhao YJ, Zhu YJ, Xiao N, Wen AN, Zhou W, Mao BC, Zhang Y, Qi W, Wang Y. [The design method of the digital sequential tooth-sectioning guide for the extraction of mandibular impacted third molars]. Zhonghua Kou Qiang Yi Xue Za Zhi 2023; 58:435-441. [PMID: 37082847 DOI: 10.3760/cma.j.cn112144-20220721-00398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Abstract
Objective: To explore a method for digitally designing and fabricating a sequential tooth-sectioning guide that can assist in the extraction of mandibular horizontal impacted third molars, preliminarily evaluate its feasibility and provide a reference for clinical application. Methods: Twenty patients with mandibular low level impacted third molars who visited the Department of General Dentistry, Peking University School and Hospital of Stomatology from March 2021 to January 2022 were selected. Cone-beam CT showed direct contact between the roots and mandibular canal, and full range impressions of the patients' intraoral teeth were taken and optical scans of the dental model were performed. The patients' cone-beam CT data and optical scan data were reconstructed in three dimensions, anatomical structure extraction, registration fusion, and the design of the structure of the guide (including crown-sectioning guide and root-sectioning guide) by Mimics 24.0, Geomagic Wrap 2021, and Magics 21.0 software, and then the titanium guide was three dimension printed, and the guide was tried on the dental model. After confirmation, the guide was used to assist the dentist in the operation. We observed whether the guide was in place, the number of tooth splitting, the matching of tooth splitting with the preoperative design, the operation time, and whether there were any complications. Results: In this study, 20 sectioning guides were successfully printed, all of them were well fitted in the patients' mouth, the average number of section was 3.4 times, the tooth parts was better matched with the preoperative design, and the average operative time of the guides was (29.2±9.8) minutes without complications such as perforation of the bone cortex. Conclusions: The use of sequential sectioning guides to assist in the extraction of mandibular impacted third molars was initially validated to accurately replicate the preoperative sectioning design, and is expected to provide a digital solution to improve surgical precision and ensure safety. Further studies with larger sample sizes are needed to evaluate its accuracy and safety.
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Affiliation(s)
- Z X Gao
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
| | - Y J Zhao
- Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - Y J Zhu
- Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - N Xiao
- Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - A N Wen
- Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - W Zhou
- Department of General Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - B C Mao
- Department of Orthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - Y Zhang
- Department of VIP Dental Service, Lanzhou Stomatological Hospital, Lanzhou 730031, China
| | - W Qi
- Department of General Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - Y Wang
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
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Dang B, Gao Q, Zhang L, Zhang J, Cai H, Zhu Y, Zhong Q, Liu J, Niu Y, Mao K, Xiao N, Liu WH, Lin SH, Huang J, Huang SCC, Ho PC, Cheng SC. The glycolysis/HIF-1α axis defines the inflammatory role of IL-4-primed macrophages. Cell Rep 2023; 42:112471. [PMID: 37149865 DOI: 10.1016/j.celrep.2023.112471] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 11/02/2022] [Revised: 03/08/2023] [Accepted: 04/19/2023] [Indexed: 05/09/2023] Open
Abstract
T helper type 2 (Th2) cytokine-activated M2 macrophages contribute to inflammation resolution and wound healing. This study shows that IL-4-primed macrophages exhibit a stronger response to lipopolysaccharide stimulation while maintaining M2 signature gene expression. Metabolic divergence between canonical M2 and non-canonical proinflammatory-prone M2 (M2INF) macrophages occurs after the IL-4Rα/Stat6 axis. Glycolysis supports Hif-1α stabilization and proinflammatory phenotype of M2INF macrophages. Inhibiting glycolysis blunts Hif-1α accumulation and M2INF phenotype. Wdr5-dependent H3K4me3 mediates the long-lasting effect of IL-4, with Wdr5 knockdown inhibiting M2INF macrophages. Our results also show that the induction of M2INF macrophages by IL-4 intraperitoneal injection and transferring of M2INF macrophages confer a survival advantage against bacterial infection in vivo. In conclusion, our findings highlight the previously neglected non-canonical role of M2INF macrophages and broaden our understanding of IL-4-mediated physiological changes. These results have immediate implications for how Th2-skewed infections could redirect disease progression in response to pathogen infection.
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Affiliation(s)
- Buyun Dang
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China; Department of Gastroenterology, The National Key Clinical Specialty, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian 361004, China
| | - Qingxiang Gao
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Lishan Zhang
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Jia Zhang
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Hanyi Cai
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Yanhui Zhu
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Qiumei Zhong
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Junqiao Liu
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Yujia Niu
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Kairui Mao
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Nengming Xiao
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Wen-Hsien Liu
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Jialiang Huang
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | | | - Ping-Chih Ho
- Ludwig Institute for Cancer Research, University of Lausanne, Epalinges, Vaud, Switzerland; Department of Oncology, University of Lausanne, Epalinges, Switzerland
| | - Shih-Chin Cheng
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China; Department of Gastroenterology, The National Key Clinical Specialty, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian 361004, China; Department of Digestive Disease, School of Medicine, Xiamen University, Xiamen, Fujian 361004, China.
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10
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Wen AN, Liu W, Liu DW, Zhu YJ, Xiao N, Wang Y, Zhao YJ. [Preliminary evaluation of the trueness of 5 chairside 3D facial scanning techniques]. Beijing Da Xue Xue Bao Yi Xue Ban 2023; 55:343-350. [PMID: 37042148 PMCID: PMC10091262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 04/13/2023]
Abstract
OBJECTIVE To quantitatively evaluate the trueness of five chairside three-dimensional facial scanning techniques, and to provide reference for the application of oral clinical diagnosis and treatment. METHODS The three-dimensional facial data of the subjects were collected by the traditional professional three-dimensional facial scanner Face Scan, which was used as the reference data of this study. Four kinds of portable three-dimensional facial scanners (including Space Spider, LEO, EVA and DS-FScan) and iPhone Ⅹ mobile phone (Bellus3D facial scanning APP) were used to collect three-dimensional facial data from the subjects. In Geomagic Studio 2013 software, through data registration, deviation analysis and other functions, the overall three-dimensional deviation and facial partition three-dimensional deviation of the above five chairside three-dimensional facial scanning technologies were calculated, and their trueness performance evaluated. Scanning time was recorded during the scanning process, and the subject's comfort was scored by visual analogue scale(VAS). The scanning efficiency and patient acceptance of the five three-dimensional facial scanning techniques were evaluated. RESULTS DS-FScan had the smallest mean overall and mean partition three-dimensional deviation between the test data and the reference data, which were 0.334 mm and 0.329 mm, respectively. The iPhone Ⅹ mobile phone had the largest mean overall and mean partition three-dimensional deviation between the test data and the reference data, which were 0.483 mm and 0.497 mm, respectively. The detailed features of the three-dimensional facial data obtained by Space Spider were the best. The iPhone Ⅹ mobile phone had the highest scanning efficiency and the highest acceptance by the subject. The average scanning time of the iPhone Ⅹ mobile phone was 14 s, and the VAS score of the subjects' scanning comfort was 9 points. CONCLUSION Among the five chairside three-dimensional face scanning technologies, the trueness of the scan data of the four portable devices had no significant difference, and they were all better than the iPhone Ⅹ mobile phone scan. The subject with the iPhone Ⅹ scanning technology had the best expe-rience.
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Affiliation(s)
- A N Wen
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
- Center of Digital Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing 100081, China
| | - W Liu
- Yinchuan Stomatology Hospital, Yinchuan 750004, China
| | - D W Liu
- Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing 100081, China
| | - Y J Zhu
- Center of Digital Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing 100081, China
| | - N Xiao
- Center of Digital Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing 100081, China
| | - Y Wang
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
- Center of Digital Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing 100081, China
| | - Y J Zhao
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
- Center of Digital Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry & NMPA Key Laboratory for Dental Materials, Beijing 100081, China
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11
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Li TS, Xiao N. [Attaching importance to the standardized development of early rehabilitation in critically ill children]. Zhonghua Er Ke Za Zhi 2023; 61:196-198. [PMID: 36849343 DOI: 10.3760/cma.j.cn112140-20221025-00904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Affiliation(s)
- T S Li
- Department of Rehabilitation Medicine, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - N Xiao
- Department of Rehabilitation Medicine, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
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Ma C, Cheng YJ, Xiao N. [Research progress of mesenchymal stem cell in the treatment of diabetic bladder dysfunction]. Zhonghua Wai Ke Za Zhi 2022; 60:1035-1040. [PMID: 36323586 DOI: 10.3760/cma.j.cn112139-20220530-00245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Diabetic bladder dysfunction (DBD) is a common complication in the lower urinary tract of diabetes. In recent years, mesenchymal stem cell (MSC) have broad application prospects in the treatment of DBD. MSC can migrate to damaged bladder tissue and differentiate into various cell types, such as urothelial cells, myofibroblasts, smooth muscle cells and nerve cells, promote bladder tissue repair and regeneration through paracrine effects. In addition, MSC also intervene in the pathological process of DBD, reverse disease progression, and restore partial bladder function through immune regulation, improvement of oxidative stress, and regulation of blood glucose. At present, the treatment of DBD with MSC is limited to preclinical animal experiments, clinical research and application should be pursued further.
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Affiliation(s)
- C Ma
- Department of Urology, Lanzhou University Sencond Hospital, Key Laboratory of Gansu Province for Urological Diseases, Gansu Nephro-Urological Clinical Center, Lanzhou 730030, China
| | - Y J Cheng
- Department of Urology, Lanzhou University Sencond Hospital, Key Laboratory of Gansu Province for Urological Diseases, Gansu Nephro-Urological Clinical Center, Lanzhou 730030, China
| | - N Xiao
- Department of Urology, Lanzhou University Sencond Hospital, Key Laboratory of Gansu Province for Urological Diseases, Gansu Nephro-Urological Clinical Center, Lanzhou 730030, China
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Liao TT, Guan WJ, Zheng YJ, Wang Y, Xiao N, Li C, Xu YJ, He ZX, Meng RL, Zheng XY, Lin LF. The association between sociodemographic status and COPD and asthma mortality, DALY and YLD in southern China, 2005–2015. Public Health 2022; 212:102-110. [DOI: 10.1016/j.puhe.2022.06.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 04/18/2022] [Accepted: 06/19/2022] [Indexed: 11/06/2022]
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Yang C, Liu Y, Hu Y, Fang L, Huang Z, Cui H, Xie J, Hong Y, Chen W, Xiao N, Li Q, Liu WH, Xiao C. Myc inhibition tips the immune balance to promote antitumor immunity. Cell Mol Immunol 2022; 19:1030-1041. [PMID: 35962189 PMCID: PMC9424194 DOI: 10.1038/s41423-022-00898-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 06/23/2022] [Indexed: 11/09/2022] Open
Abstract
Aberrant expression of Myc is one of the most common oncogenic events in human cancers. Scores of Myc inhibitors are currently under development for treating Myc-driven cancers. In addition to directly targeting tumor cells, Myc inhibition has been shown to modulate the tumor microenvironment to promote tumor regression. However, the effect of Myc inhibition on immune cells in the tumor microenvironment remains poorly understood. Here, we show that the adaptive immune system plays a vital role in the antitumor effect of pharmacologic inhibition of Myc. Combining genetic and pharmacologic approaches, we found that Myc inhibition enhanced CD8 T cell function by suppressing the homeostasis of regulatory T (Treg) cells and the differentiation of resting Treg (rTreg) cells to activated Treg (aTreg) cells in tumors. Importantly, we demonstrated that different Myc expression levels confer differential sensitivity of T cell subsets to pharmacologic inhibition of Myc. Although ablation of the Myc gene has been shown to suppress CD8 T cell function, Treg cells, which express much less Myc protein than CD8 T cells, are more sensitive to Myc inhibitors. The differential sensitivity of CD8 T and Treg cells to Myc inhibitors resulted in enhanced CD8 T cell function upon Myc inhibition. Our findings revealed that Myc inhibitors can induce an antitumor immune response during tumor progression.
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Affiliation(s)
- Chao Yang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, 361102, Fujian, China.
| | - Yun Liu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, 361102, Fujian, China
| | - Yudi Hu
- Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361102, Fujian, China
| | - Liang Fang
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences and Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, Shenzhen, 518005, Guangdong, China
| | - Zhe Huang
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA
- Sanofi Institute for Biomedical Research, Suzhou, 215123, Jiangsu, China
| | - Huanhuan Cui
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences and Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, Shenzhen, 518005, Guangdong, China
| | - Jun Xie
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, 361102, Fujian, China
| | - Yazhen Hong
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, 361102, Fujian, China
| | - Wei Chen
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences and Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, Shenzhen, 518005, Guangdong, China
| | - Nengming Xiao
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, 361102, Fujian, China
| | - Qiyuan Li
- Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361102, Fujian, China.
| | - Wen-Hsien Liu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, 361102, Fujian, China.
| | - Changchun Xiao
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, 361102, Fujian, China.
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA.
- Sanofi Institute for Biomedical Research, Suzhou, 215123, Jiangsu, China.
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Xiao N, Aggarwal R, Soliman M, Lewandowski R, Karp J, Salem R, Hohlastos E, Desai K. Abstract No. 162 Medium and long-term outcomes of single session inferior vena cava filter removal, recanalization and endovenous reconstruction for filter-related chronic iliocaval thrombosis. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.243] [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] Open
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Klepitsch E, Xiao N, Gupta R, Thornburg B, Hohlastos E, Desai K. Abstract No. 160 Outcomes of common femoral vein stent placement for post-thrombotic iliofemoral occlusions. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.241] [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: 11/25/2022] Open
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Xiao N, Ahuja A, Patel R, Nemcek A, Resnick S. Abstract No. 77 Median arcuate ligament compression related pancreaticoduodenal arcade aneurysms: a 22-year single-center experience. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.158] [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: 11/26/2022] Open
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Xiao N, Lewandowski R, Karp J, Salem R, Desai K. Abstract No. 146 Risk factors for development of IVC thrombosis in inferior vena cava filter bearing patients. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.227] [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] Open
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Xiao N, Genet M, Marquez R, Hohlastos E, Salem R, Karp J, Lewandowski R, Desai K. Abstract No. 155 Single-procedure, 8Fr rheolytic pharmacomechanical iliofemoral deep venous thrombectomy: a retrospective study of efficacy, safety and durability. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.236] [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: 11/26/2022] Open
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Robins C, Xiao N, Salem R, Keswani R, Riaz A. Abstract No. 227 Percutaneous biliary neo-anastomosis creation using radiofrequency wires. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.308] [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: 11/28/2022] Open
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Wen AN, Zhu YJ, Zheng SW, Xiao N, Gao ZX, Fu XL, Wang Y, Zhao Y. [Preliminary study on the method of automatically determining facial landmarks based on three-dimensional face template]. Zhonghua Kou Qiang Yi Xue Za Zhi 2022; 57:358-365. [PMID: 35368162 DOI: 10.3760/cma.j.cn112144-20210913-00409] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the establishment of an efficient and automatic method to determine anatomical landmarks in three-dimensional (3D) facial data, and to evaluate the effectiveness of this method in determining landmarks. Methods: A total of 30 male patients with tooth defect or dentition defect (with good facial symmetry) who visited the Department of Prosthodontics, Peking University School and Hospital of Stomatology from June to August 2021 were selected, and these participants' age was between 18-45 years. 3D facial data of patients was collected and the size normalization and overlap alignment were performed based on the Procrustes analysis algorithm. A 3D face average model was built in Geomagic Studio 2013 software, and a 3D face template was built through parametric processing. MeshLab 2020 software was used to determine the serial number information of 32 facial anatomical landmarks (10 midline landmarks and 22 bilateral landmarks). Five male patients with no mandibular deviation and 5 with mild mandibular deviation were selected from the Department of Orthodontics or Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology from June to August 2021. 3D facial data of patients was collected as test data. Based on the 3D face template and the serial number information of the facial anatomical landmarks, the coordinates of 32 facial anatomical landmarks on the test data were automatically determined with the help of the MeshMonk non-rigid registration algorithm program, as the data for the template method to determine the landmarks. The positions of 32 facial anatomical landmarks on the test data were manually determined by the same attending physician, and the coordinates of the landmarks were recorded as the data for determining landmarks by the expert method. Calculated the distance value of the coordinates of facial anatomical landmarks between the template method and the expert method, as the landmark localization error, and evaluated the effect of the template method in determining the landmarks. Results: For 5 patients with no mandibular deviation, the landmark localization error of all facial anatomical landmarks by template method was (1.65±1.19) mm, the landmark localization error of the midline facial anatomical landmarks was (1.19±0.45) mm, the landmark localization error of bilateral facial anatomical landmarks was (1.85±1.33) mm. For 5 patients with mild mandibular deviation, the landmark localization error of all facial anatomical landmarks by template method was (2.55±2.22) mm, the landmark localization error of the midline facial anatomical landmarks was (1.85±1.13) mm, the landmark localization error of bilateral facial anatomical landmarks was (2.87±2.45) mm. Conclusions: The automatic determination method of facial anatomical landmarks proposed in this study has certain feasibility, and the determination effect of midline facial anatomical landmarks is better than that of bilateral facial anatomical landmarks. The effect of determining facial anatomical landmarks in patients without mandibular deviation is better than that in patients with mild mandibular deviation.
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Affiliation(s)
- A N Wen
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
| | - Y J Zhu
- Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - S W Zheng
- School of Computer Science, Beijing University of Posts and Telecommunications National Pilot Software Engineering School & Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing 100876, China
| | - N Xiao
- Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - Z X Gao
- Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - X L Fu
- School of Computer Science, Beijing University of Posts and Telecommunications National Pilot Software Engineering School & Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing 100876, China
| | - Y Wang
- Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - Yijiao Zhao
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
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22
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Chen Q, Zhuang S, Hong Y, Yang L, Guo P, Mo P, Peng K, Li W, Xiao N, Yu C. Demethylase JMJD2D induces PD-L1 expression to promote colorectal cancer immune escape by enhancing IFNGR1-STAT3-IRF1 signaling. Oncogene 2022; 41:1421-1433. [PMID: 35027670 DOI: 10.1038/s41388-021-02173-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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: 05/08/2021] [Revised: 12/11/2021] [Accepted: 12/30/2021] [Indexed: 12/24/2022]
Abstract
Programmed death-ligand 1 (PD-L1) is an important immunosuppressive molecule highly expressed on the surface of cancer cells. IFNγ triggered cancer cell immunosuppression against CD8+ T cell surveillance via up-regulation of PD-L1. Histone demethylase JMJD2D promotes colorectal cancer (CRC) progression; however, the role of JMJD2D in cancer immune escape is unknown. Here, we report that both PD-L1 and JMJD2D are frequently overexpressed in human CRC specimens with a significant positive correlation. Genetic ablation of JMJD2D in CRC cells attenuated the expression of PD-L1 and stalled tumor growth in mice, accompanied by the elevated number and effector function of tumor infiltrating CD8+ T cells. Mechanistically, JMJD2D coactivated SP-1 to promote the expression of IFNGR1, which elevated STAT3-IRF1 signaling and promoted PD-L1 expression. Again, JMJD2D is a major coactivator for STAT3-IRF1 axis to enhance PD-L1 transcription in a demethylation activity dependent manner. Furthermore, pharmacological inhibition of JMJD2D conduced to improve the anti-tumor efficacy of PD-L1 antibody as demonstrated by slower tumor growth and higher infiltration and function of CD8+ T cells in the combination of JMJD2D inhibitor 5-c-8HQ and PD-L1 antibody group compared with monotherapy with either agent. These results demonstrate that JMJD2D promotes CRC immune escape by enhancing PD-L1 expression to inhibit the activation and tumor infiltration of CD8+ T cells; targeting JMJD2D has the potential role in promoting the efficacy of anti-PD-1/PD-L1 immunotherapy.
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Affiliation(s)
- Qiang Chen
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Shuqing Zhuang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Yilin Hong
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Lingtao Yang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Peng Guo
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Pingli Mo
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Kesong Peng
- Department of Cellular and Genetic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, China.
| | - Wengang Li
- Cancer Research Center, School of Medicine, Xiamen University, Xiamen, China.
- Xiamen University Research Center of Retroperitoneal Tumor Committee of Oncology Society of Chinese Medical Association, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
| | - Nengming Xiao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Biology, School of Life Sciences, Xiamen University, Xiamen, China.
| | - Chundong Yu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Biology, School of Life Sciences, Xiamen University, Xiamen, China.
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23
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Zhai X, Liu K, Fang H, Zhang Q, Gao X, Liu F, Zhou S, Wang X, Niu Y, Hong Y, Lin SH, Liu WH, Xiao C, Li Q, Xiao N. Mitochondrial C1qbp promotes differentiation of effector CD8 + T cells via metabolic-epigenetic reprogramming. Sci Adv 2021; 7:eabk0490. [PMID: 34860557 PMCID: PMC8641941 DOI: 10.1126/sciadv.abk0490] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 10/15/2021] [Indexed: 05/27/2023]
Abstract
Early-activated CD8+ T cells increase both aerobic glycolysis and mitochondrial oxidative phosphorylation (OXPHOS). However, whether and how the augmentation of OXPHOS regulates differentiation of effector CD8+ T cell remains unclear. Here, we found that C1qbp was intrinsically required for such differentiation in antiviral and antitumor immune responses. Activated C1qbp-deficient CD8+ T cells failed to increase mitochondrial respiratory capacities, resulting in diminished acetyl–coenzyme A as well as elevated fumarate and 2-hydroxyglutarate. Consequently, hypoacetylation of H3K27 and hypermethylation of H3K27 and CpG sites were associated with transcriptional down-regulation of effector signature genes. The effector differentiation of C1qbp-sufficient or C1qbp-deficient CD8+ T cells was reversed by fumarate or a combination of histone deacetylase inhibitor and acetate. Therefore, these findings identify C1qbp as a pivotal positive regulator in the differentiation of effector CD8+ T cells and highlight a metabolic-epigenetic axis in this process.
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Affiliation(s)
- Xingyuan Zhai
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Kai Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Hongkun Fang
- School of Medicine, Xiamen University, Xiamen, Fujian 361102, China
| | - Quan Zhang
- School of Medicine, Xiamen University, Xiamen, Fujian 361102, China
| | - Xianjun Gao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Fang Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Shangshang Zhou
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Xinming Wang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Yujia Niu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Yazhen Hong
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Wen-Hsien Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Changchun Xiao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Qiyuan Li
- School of Medicine, Xiamen University, Xiamen, Fujian 361102, China
| | - Nengming Xiao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
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24
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Xiao N, Xiao SB, Chen CW, Gao YT. [Breast mucinous cystadenocarcinoma: report of a case]. Zhonghua Bing Li Xue Za Zhi 2021; 50:1302-1304. [PMID: 34719180 DOI: 10.3760/cma.j.cn112151-20210806-00552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- N Xiao
- Department of Pathology, Xiantao First People's Hospital of Yangtze University, Xiantao 433000, Hubei Province, China
| | - S B Xiao
- Department of Pathology, Xiantao First People's Hospital of Yangtze University, Xiantao 433000, Hubei Province, China
| | - C W Chen
- Department of Pathology, Xiantao First People's Hospital of Yangtze University, Xiantao 433000, Hubei Province, China
| | - Y T Gao
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
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25
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Liu C, Ma L, Wang Y, Zhao J, Chen P, Chen X, Wang Y, Hu Y, Liu Y, Jia X, Yang Z, Yin X, Wu J, Wu S, Zheng H, Ma X, Sun X, He Y, Lin L, Fu Y, Liao K, Zhou X, Jiang S, Fu G, Tang J, Han W, Chen XL, Fan W, Hong Y, Han J, Huang X, Li BA, Xiao N, Xiao C, Fu G, Liu WH. Glycogen synthase kinase 3 drives thymocyte egress by suppressing β-catenin activation of Akt. Sci Adv 2021; 7:eabg6262. [PMID: 34623920 PMCID: PMC8500522 DOI: 10.1126/sciadv.abg6262] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 08/19/2021] [Indexed: 06/13/2023]
Abstract
Molecular pathways controlling emigration of mature thymocytes from thymus to the periphery remain incompletely understood. Here, we show that T cell–specific ablation of glycogen synthase kinase 3 (GSK3) led to severely impaired thymic egress. In the absence of GSK3, β-catenin accumulated in the cytoplasm, where it associated with and activated Akt, leading to phosphorylation and degradation of Foxo1 and downregulation of Klf2 and S1P1 expression, thereby preventing emigration of thymocytes. A cytoplasmic membrane-localized β-catenin excluded from the nucleus promoted Akt activation, suggesting a new function of β-catenin independent of its role as a transcriptional activator. Furthermore, genetic ablation of β-catenin, retroviral expression of a dominant negative Akt mutant, and transgenic expression of a constitutively active Foxo1 restored emigration of GSK3-deficient thymocytes. Our findings establish an essential role for GSK3 in thymocyte egress and reveal a previously unidentified signaling function of β-catenin in the cytoplasm.
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Affiliation(s)
- Chenfeng Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Lei Ma
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Yuxuan Wang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Jiayi Zhao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Pengda Chen
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Xian Chen
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Yingxin Wang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Yanyan Hu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Yun Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Xian Jia
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Zhanghua Yang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Xingzhi Yin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Jianfeng Wu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Suqin Wu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Haiping Zheng
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Xiaohong Ma
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Xiufeng Sun
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Ying He
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Lianghua Lin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Yubing Fu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Kunyu Liao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Xiaojuan Zhou
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Shan Jiang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Guofeng Fu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Jian Tang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Wei Han
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Xiao Lei Chen
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Wenzhu Fan
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Yazhen Hong
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Jiahuai Han
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Xiangyang Huang
- Department of Rheumatology and Immunology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Bo-An Li
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Nengming Xiao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Changchun Xiao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Guo Fu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Wen-Hsien Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
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26
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Yang L, Chen W, Li L, Xiao Y, Fan S, Zhang Q, Xia T, Li M, Hong Y, Zhao T, Li Q, Liu WH, Xiao N. Ddb1 Is Essential for the Expansion of CD4 + Helper T Cells by Regulating Cell Cycle Progression and Cell Death. Front Immunol 2021; 12:722273. [PMID: 34526995 PMCID: PMC8435776 DOI: 10.3389/fimmu.2021.722273] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 08/06/2021] [Indexed: 11/13/2022] Open
Abstract
Follicular helper T (TFH) cells are specialized CD4+ helper T cells that provide help to B cells in humoral immunity. However, the molecular mechanism underlying generation of TFH cells is incompletely understood. Here, we reported that Damage-specific DNA binding protein 1 (Ddb1) was required for expansion of CD4+ helper T cells including TFH and Th1 cells, germinal center response, and antibody response to acute viral infection. Ddb1 deficiency in activated CD4+ T cells resulted in cell cycle arrest at G2-M phase and increased cell death, due to accumulation of DNA damage and hyperactivation of ATM/ATR-Chk1 signaling. Moreover, mice with deletion of both Cul4a and Cul4b in activated CD4+ T cells phenocopied Ddb1-deficient mice, suggesting that E3 ligase-dependent function of Ddb1 was crucial for genome maintenance and helper T-cell generation. Therefore, our results indicate that Ddb1 is an essential positive regulator in the expansion of CD4+ helper T cells.
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Affiliation(s)
- Lingtao Yang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Wei Chen
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Li Li
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Yueyue Xiao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Shilin Fan
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Quan Zhang
- School of Medicine, Xiamen University, Xiamen, China
| | - Tian Xia
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Mengjie Li
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Yazhen Hong
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Tongjin Zhao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Qiyuan Li
- School of Medicine, Xiamen University, Xiamen, China
| | - Wen-Hsien Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Nengming Xiao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
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27
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Xiao N. [Concept and mechanism innovations provide a sustainable driver for echinococcosis control in China]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2021; 33:329-333. [PMID: 34505437 DOI: 10.16250/j.32.1374.2021188] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
China is one of the countries with the highest disease burden of echinococcosis in the world. China's progress in echinococcosis control started with limited scientific research projects, followed by nationwide epidemiological surveys, and then launched a national echinococcosis control programme on the basis of a pilot intervention project. During this process, science-based control and technological innovations have been integrated into echinococcosis control in China. The concept and mechanism innovations-based echinococcosis control models and successful experiences in highly endemic foci promote the sustainable echinococcosis control achievements in China. In addition, the joint echinococcosis prevention and control and sharing of successful experiences with other echinococcosis-endemic countries will provide China's wisdom, China's strategy and China's contributions to global echinococcosis control and the health of human beings.
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Affiliation(s)
- N Xiao
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China.,School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiaotong University Medical School, China
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28
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Wang X, Zuo QQ, Yu Q, Song CX, Wang ZH, Xiao N, Wang YJ, Weng XD, Wei X, Zhou HR, Cui XY. [Investigation on population dynamics and Echinococcus infections in small rodents around human settlement in Yushu City, Qinghai Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2021; 33:346-352. [PMID: 34505440 DOI: 10.16250/j.32.1374.2020002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To investigate the population dynamics and Echinococcus infections in small rodents around human settlement in Yushu City, Qinghai Province. METHODS Rodents were captured using the mouse trap method in pastures from Batang Township and Longbao Township of Yushu City, Qinghai Province on May, August and October, 2018. The body weight and snout-vent length of all captured rodents were measured, and the species was identified according to the rodent morphology. Genomic DNA was extracted from rodent liver specimens and lesion specimens, and the mitochondrial cox1 gene of Echinococcus was amplified using PCR assay for identification of parasite species. In addition, the tissue specimens positive for PCR assay were sampled for pathological examinations. The prevalence of Echinococcus infections was estimated in rodents, and a phylogenetic tree was created based on Echinococcus cox1 gene sequences. RESULTS A total of 285 small rodents were captured, including 143 Ochotona curzoniae (50.2%), 141 Lasiopodomys fuscus (49.5%), and 1 Neodon irene (0.3%), and there was a remarkable variation in habitat selection among these three rodent species. The number of L. fuscus correlated positively with vegetation coverage (r = 0.350, P = 0.264), with the greatest number seen in August, and the number of O. curzoniae negatively with vegetation coverage (r = -0.371, P = 0.235), with the highest number seen in August and the lowest number in May. The female/male ratios of O. curzoniae and voles were 1:0.96 and 0.82:1, respectively. The body weight (r = 0.519, P < 0.01) and snout-vent length (r = 0.578, P < 0.01) of O. curzoniae showed a tendency towards a rise with month, while the body weight (r = -0.401, P < 0.01) and snout-vent length (r = -0.570, P < 0.01) of voles presented a tendency towards a reduction with month. No Echinococcus infection was detected in voles, while 2.1% prevalence of E. shiquicus infection was seen in O. curzoniae. Phylogenetic analysis revealed consistent sequences of cox1 gene from E. shiquicus in Yushu City of Qinghai Province and Shiqu County, Ganzi Tibetan Autonomous Prefecture of Sichuan Province. CONCLUSIONS The small rodents around the human settlement in Yushu City of Qinghai Province mainly include O. curzoniae and L. fuscus, with the greatest numbers seen in May and August, respectively. Following the concerted efforts for echinococcosis control, the prevalence of Echinococcus infections is low in small rodents around the human settlement in Yushu City; however, there is still a risk of echinococcosis transmission.
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Affiliation(s)
- X Wang
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China.,Co-first authors
| | - Q Q Zuo
- School of Life Sciences, East China Normal University, China.,Co-first authors
| | - Q Yu
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - C X Song
- Yushu Tibetan Autonomous Prefecture Center for Disease Control and Prevention, Qinghai Province, China
| | - Z H Wang
- School of Life Sciences, East China Normal University, China
| | - N Xiao
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - Y J Wang
- Yushu Municipal Center for Disease Control and Prevention, Qinghai Province, China
| | - X D Weng
- School of Life Sciences, East China Normal University, China
| | - X Wei
- School of Life Sciences, East China Normal University, China
| | - H R Zhou
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - X Y Cui
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
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Yu HJ, Jing C, Xiao N, Zang XM, Zhang CY, Zhang X, Qu YN, Li Y, Tan QW. Structural difference analysis of adult's intestinal flora basing on the 16S rDNA gene sequencing technology. Eur Rev Med Pharmacol Sci 2021; 24:12983-12992. [PMID: 33378065 DOI: 10.26355/eurrev_202012_24203] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Through 16S rDNA technology, we aimed at separating adults aging 20-50 years old into a few groups and processing the high-throughput sequencing analysis, in order to explore the features and differences of intestinal flora in each age group in a microcosmic perspective. PATIENTS AND METHODS 120 stool specimens were collected strictly in accordance with acceptance criteria and exclusion criteria. 49 subjects aging 20-29 years old (Group AGE1), 51 subjects aging 30-39 years old (Group AGE2), and 20 subjects aging 40-49 years old (Group AGE3) were divided into 3 groups. Bacteria DNA from fresh stool specimens of 3 groups were abstracted. Illumina MiSeq high-throughput sequencing platform was applied to process 16S rDNA sequencing in Area 338F_806R for intestinal flora detection. I-Sanger Bio-cloud platform was applied for the analysis of intestinal flora structure changes in phylum level and genus level. RESULTS Among the age of 20-50, with older age, the abundance of intestinal flora decreased among healthy adults more than 40 years old. In addition, the diversity and sample dispersion of intestinal flora is significantly different from people among 20-40 years old. The decrease ratio of Firmicutes/Bacteroidetes indicated that as the age grows, glucose tolerance might decrease. Comparing with people among 20-40 years old, the amount of Bifidobacterium and Eubacterium in people over 40 years old have significantly decreased. The decrease of Bifidobacterium and Eubacterium may increase the risks of cognitive impairment and lower the anti-inflammation and anti-cancer efficacy in human body, respectively. Subdoligranulum relates to poor metabolism and chronic inflammation and it happens more in people aged over 40 than young people who are among 20-40 years old. CONCLUSIONS There are differences in the intestinal flora of healthy adults aged 20-50. Effective intervention of the intestinal flora may play a role in delaying aging and preventing diseases.
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Affiliation(s)
- H-J Yu
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, China.
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30
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Wang X, Wang HY, Hu GS, Tang WS, Weng L, Zhang Y, Guo H, Yao SS, Liu SY, Zhang GL, Han Y, Liu M, Zhang XD, Cen X, Shen HF, Xiao N, Liu CQ, Wang HR, Huang J, Liu W, Li P, Zhao TJ. DDB1 binds histone reader BRWD3 to activate the transcriptional cascade in adipogenesis and promote onset of obesity. Cell Rep 2021; 35:109281. [PMID: 34161765 DOI: 10.1016/j.celrep.2021.109281] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 04/17/2021] [Accepted: 05/28/2021] [Indexed: 02/07/2023] Open
Abstract
Obesity has become a global pandemic. Identification of key factors in adipogenesis helps to tackle obesity and related metabolic diseases. Here, we show that DDB1 binds the histone reader BRWD3 to promote adipogenesis and diet-induced obesity. Although typically recognized as a component of the CUL4-RING E3 ubiquitin ligase complex, DDB1 stimulates adipogenesis independently of CUL4. A DDB1 mutant that does not bind CUL4A or CUL4B fully restores adipogenesis in DDB1-deficient cells. Ddb1+/- mice show delayed postnatal development of white adipose tissues and are protected from diet-induced obesity. Mechanistically, by interacting with BRWD3, DDB1 is recruited to acetylated histones in the proximal promoters of ELK1 downstream immediate early response genes and facilitates the release of paused RNA polymerase II, thereby activating the transcriptional cascade in adipogenesis. Our findings have uncovered a CUL4-independent function of DDB1 in promoting the transcriptional cascade of adipogenesis, development of adipose tissues, and onset of obesity.
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Affiliation(s)
- Xu Wang
- Shanghai Key Laboratory of Metabolic Remodeling and Disease, Institute of Metabolism and Integrative Biology, Zhongshan Hospital, Fudan University, and Shanghai Qi Zhi Institute, Shanghai, China; State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Hao-Yan Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Guo-Sheng Hu
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Xiamen, Fujian, China
| | - Wen-Shuai Tang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Li Weng
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Yuzhu Zhang
- Shanghai Institute of Precision Medicine, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
| | - Huiling Guo
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Shan-Shan Yao
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Shen-Ying Liu
- Shanghai Key Laboratory of Metabolic Remodeling and Disease, Institute of Metabolism and Integrative Biology, Zhongshan Hospital, Fudan University, and Shanghai Qi Zhi Institute, Shanghai, China
| | - Guo-Liang Zhang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Yan Han
- Department of Endocrinology and Diabetes, the First Affiliated Hospital, Xiamen University, Xiamen, Fujian, China
| | - Min Liu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Xiao-Dong Zhang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Xiang Cen
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Hai-Feng Shen
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Xiamen, Fujian, China
| | - Nengming Xiao
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Chang-Qin Liu
- Department of Endocrinology and Diabetes, the First Affiliated Hospital, Xiamen University, Xiamen, Fujian, China
| | - Hong-Rui Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Jing Huang
- Shanghai Institute of Precision Medicine, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
| | - Wen Liu
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Xiamen, Fujian, China
| | - Peng Li
- Shanghai Key Laboratory of Metabolic Remodeling and Disease, Institute of Metabolism and Integrative Biology, Zhongshan Hospital, Fudan University, and Shanghai Qi Zhi Institute, Shanghai, China; State Key Laboratory of Membrane Biology and Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China
| | - Tong-Jin Zhao
- Shanghai Key Laboratory of Metabolic Remodeling and Disease, Institute of Metabolism and Integrative Biology, Zhongshan Hospital, Fudan University, and Shanghai Qi Zhi Institute, Shanghai, China; State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.
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Zhou X, Ma F, Xie J, Yuan M, Li Y, Shaabani N, Zhao F, Huang D, Wu NC, Lee CCD, Liu H, Li J, Chen Z, Hong Y, Liu WH, Xiao N, Burton DR, Tu H, Li H, Chen X, Teijaro JR, Wilson IA, Xiao C, Huang Z. Diverse immunoglobulin gene usage and convergent epitope targeting in neutralizing antibody responses to SARS-CoV-2. Cell Rep 2021; 35:109109. [PMID: 33932326 PMCID: PMC8064889 DOI: 10.1016/j.celrep.2021.109109] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 03/07/2021] [Accepted: 04/20/2021] [Indexed: 12/23/2022] Open
Abstract
It is unclear whether individuals with enormous diversity in B cell receptor repertoires are consistently able to mount effective antibody responses against SARS-CoV-2. We analyzed antibody responses in a cohort of 55 convalescent patients and isolated 54 potent neutralizing monoclonal antibodies (mAbs). While most of the mAbs target the angiotensin-converting enzyme 2 (ACE2) binding surface on the receptor binding domain (RBD) of SARS-CoV-2 spike protein, mAb 47D1 binds only to one side of the receptor binding surface on the RBD. Neutralization by 47D1 is achieved independent of interfering RBD-ACE2 binding. A crystal structure of the mAb-RBD complex shows that the IF motif at the tip of 47D1 CDR H2 interacts with a hydrophobic pocket in the RBD. Diverse immunoglobulin gene usage and convergent epitope targeting characterize neutralizing antibody responses to SARS-CoV-2, suggesting that vaccines that effectively present the receptor binding site on the RBD will likely elicit neutralizing antibody responses in a large fraction of the population.
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Affiliation(s)
- Xiaojuan Zhou
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Fengge Ma
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Jun Xie
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Meng Yuan
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Yunqiao Li
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Namir Shaabani
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Fangzhu Zhao
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Deli Huang
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Nicholas C Wu
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Chang-Chun D Lee
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Hejun Liu
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Jiali Li
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Zhonghui Chen
- Affiliated Hospital of Putian University, Putian, Fujian 351100, China
| | - Yazhen Hong
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Wen-Hsien Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Nengming Xiao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Dennis R Burton
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA; Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02139, USA
| | - Haijian Tu
- Affiliated Hospital of Putian University, Putian, Fujian 351100, China
| | - Hang Li
- Affiliated Hospital of Putian University, Putian, Fujian 351100, China
| | - Xin Chen
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - John R Teijaro
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Ian A Wilson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA; The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
| | - Changchun Xiao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China; Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
| | - Zhe Huang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China.
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Xu QL, Lin KM, Yin SQ, Qian MB, Wang DQ, Duan L, Lu SN, Li YX, Xiao N. [Study on the hospitalization cost and its influencing factors of imported malaria patients in Guangxi Zhuang Autonomous Region and Yunnan Province]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2021; 33:154-161. [PMID: 34008362 DOI: 10.16250/j.32.1374.2020312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To analyze the hospitalization cost and its influencing factors of imported malaria patients in Guangxi Zhuang Autonomous Region and Yunnan Province, so as to provide insights into the evaluation of the economic burden due to imported malaria, and the guiding of malaria control and the rational allocation of medical resources. METHODS The data pertaining to the hospitalization costs of imported malaria patients admitted to Shanglin County People's Hospital in Guangxi Zhuang Autonomous Region during the period from January 1 through December 31, 2019, and Tengchong Municipal People's Hospital in Yunnan Province from January 1, 2015 to December 31, 2019, were collected, and the epidemiological data of these imported malaria patients were extracted from the Information Management System for Parasitic Diseases Control and Prevention, China. The composition of the hospitalization expenses was analyzed using a descriptive method. In addition, the factors affecting the hospitalization expenses of imported malaria patients were identified using a univariate analysis and a recursive system model. RESULTS A total of 206 imported malaria patients were included in this study, including 194 men (94.17%) and 12 women (5.83%). The mean length of hospital stay was 5.00 days per patient and the median hospitalization expenses were 2 813.07 Yuan per time, in which the expenses for laboratory examinations were the highest (45.31%, 1 274.62/2 813.07). Univariate analysis showed that hospital (z = 5.43, P < 0.01), type of malaria (χ2 = 34.86, P < 0.01) and type of payment (χ2 = 7.72, P < 0.05) were factors affecting the hospitalization expenses of imported malaria patients. Recursion system modeling revealed that the total effects on hospitalization expenses of imported malaria patients included length of hospital stay (0.78), selection of hospital (0.34), basic medical insurance for urban and rural residents (0.19), new rural cooperative medical care (0.17), Plasmodium falciparum malaria (0.15), gender (0.11) and P. vivax malaria (0.09). CONCLUSIONS The hospitalization expenses of imported malaria patients are affected by multiple factors in Guangxi Zhuang Autonomous Region and Yunnan Province, in which the length of hospital stay is the most predominant influencing factor. A reduction in the length of hospital stay is effective to decrease the hospitalization expenses of imported malaria patients.
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Affiliation(s)
- Q L Xu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - K M Lin
- Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, China
| | - S Q Yin
- Tengchong Municipal Center for Disease Control and Prevention, Yunnan Province, China
| | - M B Qian
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - D Q Wang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - L Duan
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - S N Lu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - Y X Li
- Tengchong Municipal People's Hospital, Yunnan Province, China
| | - N Xiao
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
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Duan XL, Xiao N. [Visual dysfunction and ocular disorders in pediatric neurological developmental diseases]. Zhonghua Er Ke Za Zhi 2020; 58:871-874. [PMID: 33120456 DOI: 10.3760/cma.j.cn112140-20200720-00738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- X L Duan
- Department of Rehabilitation Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - N Xiao
- Department of Rehabilitation Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
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Zhou HR, Chen MX, Yu Q, Ai L, Wang Y, Xu QL, Xiao N. [Establishment of a recombinase-aided isothermal amplification assay for nucleic acid detection of Echinococcus multilocularis and its preliminary application]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 32:168-173. [PMID: 32458606 DOI: 10.16250/j.32.1374.2019284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To establish a rapid nucleic acid detection technique for identification of Echinococcus multilocularis based on the recombinase aided isothermal amplification assay (RAA) and assess its diagnostic efficiency. METHODS The mitochondrial gene sequence of E. multilocularis (GenBank accession number: AB018440) was used as a target sequence. The primers were designed according to the RAA reaction principle and synthesized, and RAA was performed using the generated primers. E. multilocularis genomic DNA at various concentrations and the pMD19-T (Simple) vector containing various copies of the target gene fragment were amplified using RAA to evaluate its sensitivity for detection of E. multilocularis, and RAA was em- ployed to detect the genomic DNA of E. granulosus G1 genotype, Taenia saginata, T. asiatica, T. multiceps, Dipylidium caninum, Toxocara canis, Trichuris trichiura, Giardia lamblia, Fasciola hepatica, Paragonimus westermani, Fasciola gigantica and Clonorchis sinensis to evaluate its specificity. In addition, the optimized RAA was employed to detect nine tissue specimens of E. granulosus-infected animals, 3 fecal samples from E. granulosus-infected dogs and 2 fecal samples from field infected dogs to examine its reliability and feasibility. RESULTS The established RAA was able to detect the specific target gene fragment of E. multilocularis within 40 min. The lowest detect limit of RAA was 10 pg if E. multilocularis genomic DNA served as a template. If the re- combinant plasmid was used as a template, the minimally detectable copy number of RAA was 104. In addition, RAA was nega- tive for the genomic DNA of E. granulosus G1 genotype, T. saginata, T. asiatica, T. multiceps, D. caninum, T. canis, T. trichiura, G. lamblia, F. hepatica, P. westermani, F. gigantica and C. sinensis. The established RAA was positive for detection of the tissue specimens of infected animals, and simulated and field dog stool samples. CONCLUSIONS A rapid, sensitive and specific RAA is established, which shows promising values in identification of E. multilocularis and gene diagnosis of alveolar echinococcosis.
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Affiliation(s)
- H R Zhou
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology of National Health Commission, Shanghai 200025, China
| | - M X Chen
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology of National Health Commission, Shanghai 200025, China
| | - Q Yu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology of National Health Commission, Shanghai 200025, China
| | - L Ai
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology of National Health Commission, Shanghai 200025, China
| | - Y Wang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology of National Health Commission, Shanghai 200025, China
| | - Q L Xu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology of National Health Commission, Shanghai 200025, China
| | - N Xiao
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology of National Health Commission, Shanghai 200025, China
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Xiao N, Lewandowski R, Karp J, Salem R, Ryu R, Desai K. 3:27 PM Abstract No. 276 Excimer laser sheath–assisted retrieval of “closed-cell” design inferior vena cava filters. J Vasc Interv Radiol 2020. [DOI: 10.1016/j.jvir.2019.12.325] [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: 10/25/2022] Open
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Xiao N, Pinkard J, Paranandi K, Antalek M, Salem R, Riaz A. 4:03 PM Abstract No. 106 Percutaneous transhepatic cholangiography with biliary intervention for unresectable malignant biliary obstruction following endoscopically placed stents. J Vasc Interv Radiol 2020. [DOI: 10.1016/j.jvir.2019.12.135] [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: 10/25/2022] Open
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Liu Y, Xiao N, Xu SF. Decreased expression of long non-coding RNA LINC00261 is a prognostic marker for patients with non-small cell lung cancer: a preliminary study. Eur Rev Med Pharmacol Sci 2019; 21:5691-5695. [PMID: 29272004 DOI: 10.26355/eurrev_201712_14014] [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] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The previous study found that long non-coding RNA LINC00261 (LINC00261) was significantly down-regulated in non-small cell lung cancer (NSCLC). However, the function of LINC00261 in the progression of NSCLC has not been reported. The present work aimed to explore the prognostic value of LINC00261 in patients with NSCLC. PATIENTS AND METHODS The expression of LINC00261 was determined in NSCLC tissues and matched normal lung tissues by quantitative Real-time PCR (qRT-PCR). Furthermore, we evaluated the relationship of LINC00261 and clinicopathological features with survival of patients with NSCLC. Finally, univariate and multivariate Cox regression analyses were used to explore whether LINC00261 was an independent predictor of survival. RESULTS We found that the LINC00261 expression level in NSCLC tissues was suppressed compared with that in adjacent normal lung tissues (p < 0.01). Low expression of LINC00261 was found to significantly correlate with TNM stage (p = 0.005), lymph node status (p = 0.020), and distant metastasis (p = 0.004). Then, Kaplan-Meier analysis demonstrated that low LINC00261 expression level was associated with poorer overall survival (p = 0.0013). Furthermore, multivariate analysis showed that low expression of LINC00261 was an independent adverse prognostic factor of NSCLC (p = 0.004). CONCLUSIONS We firstly provided evidence that LINC00261 expression was associated with poor prognosis of NSCLC patients and may serve as an independent prognostic indicator.
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Affiliation(s)
- Y Liu
- Pathological Anatomy Research Lab, Beijing Tuberculosis and Thoracic Tumor Research Institute, Tongzhou, Beijing, China.
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Yang BF, Shi JZ, Li J, Pan YP, Xiao N, Yu YG, Zhang F, Wang HJ, Li DR. Expression of Cx43 and Cx45 in Cardiomyocytes of an Overworked Rat Model. Fa Yi Xue Za Zhi 2019; 35:567-571. [PMID: 31833290 DOI: 10.12116/j.issn.1004-5619.2019.05.010] [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] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Indexed: 11/30/2022]
Abstract
Abstract Objective To study the effect of overwork stress response on the expression of connexin 43(Cx43) and connexin 45(Cx45) in cardiomyocytes and on cardiac function. Methods The experimental animals were divided into control group, overworked 1-month group and overworked 2-month group. A overworked rat model was established by forcing swimming of overworked group. The expressions of Cx43 and Cx45 in myocardial tissues of experimental animals were detected by Western blotting, while the corresponding myocardial tissues were stained with hematoxylin-eosin (HE) staining and Masson's staining, then histologically observed. Results Western blotting results showed that, compared with the control group, Cx43 expression in myocardial tissues of overworked rats decreased while Cx45 expression increased. HE staining and Masson's staining results showed that hypertrophy, rupture and interstitial fiber tissue hyperplasia were observed in myocardial fibers of overworked rats. Conclusion Overwork stress response may affect cardiac function as an independent factor and may even cause heart failure or arrhythmias and lead to death.
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Affiliation(s)
- B F Yang
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - J Z Shi
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - J Li
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Y P Pan
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - N Xiao
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Y G Yu
- Key Laboratory of Forensic Pathology, Ministry of Public Security, Guangdong Provincial Public Security Department, Guangzhou 510050, China
| | - F Zhang
- Key Laboratory of Forensic Pathology, Ministry of Public Security, Guangdong Provincial Public Security Department, Guangzhou 510050, China
| | - H J Wang
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - D R Li
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
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Yang BF, Shi JZ, Li QJ, Xia LC, Zhang F, Yu YG, Xiao N, Li DR. The Concept, Status Quo and Forensic Pathology of Karoshi. Fa Yi Xue Za Zhi 2019; 35:455-458. [PMID: 31532157 DOI: 10.12116/j.issn.1004-5619.2019.04.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Indexed: 11/30/2022]
Abstract
Abstract "Karoshi" originates from Japan's economic take-off period in the 1960s and 1970s. It is generally believed that overwork lead to the accumulation of fatigue, which triggers the outbreak of potential diseases, and results in sudden death. Karoshi causes great harm to both the community and families because it occurs primarily in 30 to 60 year old young adults. Japan put Karoshi into the category of industrial injury for the first time in 2001 and started to undertake a series of studies in the sociological and pathological fields. However, there is a tremendous gap in the forensic pathological diagnosis domain. In China, research on Karoshi started from the 1990s and is closely related to the reform and opening up policy as well as economic development. According to the incomplete statistics, 600 thousand people die from overwork each year in China, the highest in the world. Karoshi has become one of the most serious social problems in China at the present stage, thus a systematic study in the sociology and forensic pathology fields is urgently required. This paper summarizes the past and present status of Karoshi, and puts forward the problems that need attention during the judicial expertise of Karoshi from forensic pathology perspective.
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Affiliation(s)
- B F Yang
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - J Z Shi
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Q J Li
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - L C Xia
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - F Zhang
- Guangdong Provincial Public Security Department, Guangzhou 510050, China
| | - Y G Yu
- Guangdong Provincial Public Security Department, Guangzhou 510050, China
| | - N Xiao
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - D R Li
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
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Errea M, Lessne M, Madassery S, Xiao N, Lewandowski R, Ryu R, Desai K. 03:54 PM Abstract No. 195 Does prolonged dwell time predict failure? Results from a multicenter study of inferior vena cava filter retrieval success for inferior vena cava filters implanted for over 1 year. J Vasc Interv Radiol 2019. [DOI: 10.1016/j.jvir.2018.12.250] [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: 11/25/2022] Open
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Xiao N, Lewandowski R, Karp J, Salem R, Rodriguez H, Eskandari M, Uddin O, Desai K. 03:45 PM Abstract No. 98 Single session inferior vena cava filter retrieval, recanalization, and endovenous reconstruction for chronic iliocaval thrombosis. J Vasc Interv Radiol 2019. [DOI: 10.1016/j.jvir.2018.12.143] [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: 10/27/2022] Open
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Zhang H, Kang X, Xiao N, Gao M, Zhao Y, Zhang B, Song Y. Intracellular expression ofVitreoscillahaemoglobin improves lipid production inYarrowia lipolytica. Lett Appl Microbiol 2019; 68:248-257. [DOI: 10.1111/lam.13111] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 12/27/2018] [Accepted: 12/28/2018] [Indexed: 12/24/2022]
Affiliation(s)
- H. Zhang
- Colin Ratledge Center for Microbial Lipids; School of Agricultural Engineering and Food Science; Shandong University of Technology; Zibo Shandong China
| | - X. Kang
- Colin Ratledge Center for Microbial Lipids; School of Agricultural Engineering and Food Science; Shandong University of Technology; Zibo Shandong China
| | - N. Xiao
- Colin Ratledge Center for Microbial Lipids; School of Agricultural Engineering and Food Science; Shandong University of Technology; Zibo Shandong China
| | - M. Gao
- Colin Ratledge Center for Microbial Lipids; School of Agricultural Engineering and Food Science; Shandong University of Technology; Zibo Shandong China
| | - Y. Zhao
- Colin Ratledge Center for Microbial Lipids; School of Agricultural Engineering and Food Science; Shandong University of Technology; Zibo Shandong China
| | - B. Zhang
- School of Food Science and Technology; Jiangnan University; Wuxi Jiangsu China
| | - Y. Song
- Colin Ratledge Center for Microbial Lipids; School of Agricultural Engineering and Food Science; Shandong University of Technology; Zibo Shandong China
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Jin Y, Smith C, Monteith D, Brown R, Camporeale A, McNearney TA, Deeg MA, Raddad E, Xiao N, de la Peña A, Kivitz AJ, Schnitzer TJ. CGRP blockade by galcanezumab was not associated with reductions in signs and symptoms of knee osteoarthritis in a randomized clinical trial. Osteoarthritis Cartilage 2018; 26:1609-1618. [PMID: 30240937 DOI: 10.1016/j.joca.2018.08.019] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Revised: 08/16/2018] [Accepted: 08/28/2018] [Indexed: 02/02/2023]
Abstract
OBJECTIVE This study tested whether galcanezumab, a humanized monoclonal antibody with efficacy against migraine, was superior to placebo for the treatment of mild or moderate osteoarthritis (OA) knee pain. METHOD In a multicenter, double-blind, placebo- and celecoxib-controlled trial, patients with moderate to severe OA pain were randomized to placebo; celecoxib 200 mg daily for 16 weeks; or galcanezumab 5, 50, 120, and 300 mg subcutaneously every 4 weeks, twice. The primary outcome was change from baseline at Week 8 in Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain subscore measured by 100 mm visual analog scale (VAS). The trial was considered positive if ≥1 dose of galcanezumab demonstrated ≥95% Bayesian posterior probability of superiority to placebo and ≥50% posterior probability of superiority to placebo by ≥9 mm. A planned interim analysis allowed termination of the study if posterior probability of superiority to placebo by ≥9 mm was ≤5%. Secondary endpoints included WOMAC function subscore and Patient Global Assessment (PGA) of OA. Safety and tolerability were also assessed. RESULTS The study was terminated after interim analysis suggested inadequate efficacy. Celecoxib significantly reduced WOMAC pain subscore compared with placebo [-12.0 mm; 95% confidence interval (CI) -23 to -2 mm]. None of the galcanezumab arms demonstrated clinically meaningful improvement (range: 1.5 to -5.0 mm) or met the prespecified success criteria. No improvement in any secondary objective was observed. Galcanezumab was well tolerated by OA patients. CONCLUSIONS This study failed to demonstrate sufficient statistical evidence that galcanezumab was efficacious for treating OA knee pain. STUDY IDENTIFICATION NCT02192190.
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Affiliation(s)
- Y Jin
- Eli Lilly and Company, Indianapolis, IN, USA.
| | - C Smith
- Eli Lilly and Company, Erl Wood Manor, Windlesham, UK.
| | - D Monteith
- Eli Lilly and Company, Indianapolis, IN, USA.
| | - R Brown
- Eli Lilly and Company, Indianapolis, IN, USA.
| | - A Camporeale
- Eli Lilly Italia SpA, 50019 Sesto Fiorentino (FI), Italy.
| | | | - M A Deeg
- Eli Lilly and Company, Indianapolis, IN, USA.
| | - E Raddad
- Eli Lilly and Company, Indianapolis, IN, USA.
| | - N Xiao
- Novartis, Cambridge, MA, USA.
| | | | - A J Kivitz
- Altoona Center for Clinical Research, Duncansville, PA, USA.
| | - T J Schnitzer
- Northwestern University, Feinberg School of Medicine, Chicago, IL, USA.
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Xiao N, Zhang L, Peng X, Mao C, Zhang J, Cai ZG. Non-vascularised fibular bone graft after vascular crisis: compensation for the failure of vascularised fibular free flaps. Br J Oral Maxillofac Surg 2018; 56:667-670. [PMID: 30055855 DOI: 10.1016/j.bjoms.2018.06.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 06/27/2018] [Indexed: 11/17/2022]
Abstract
After reconstruction of a segmental mandibular defect with a fibular free flap, a vascular crisis can be detected clinically and a "no-flow" phenomenon found during re-exploration. Traditional methods used to solve this include removal of the failed flap and delayed mandibular reconstruction, or restoration of the defect with a functional reconstruction plate or contralateral fibular free flap. Our aim therefore was to investigate under what circumstances it is feasible to use a non-vascularised fibular bone graft (NVFB) as a free bone graft after the failure of a vascularised fibular free flap. From 1 January 2010-31 December 2014, 10 patients who had NVFB after failure of a fibular free flap were included in the study. All patients were treated at the Peking University School and Hospital of Stomatology. NVFB were preserved successfully without infection in all 10 cases, and follow-up imaging showed that it had incorporated well with the residual mandible, the basic function and facial aesthetics of which were maintained. In conclusion we have identified that by precise selection of patients, detailed preoperative planning, and meticulous postoperative care, NVFB can be used as a "rescue" technique after failure of a fibular free flap, and can successfully restore the segmental mandibular defect and facial contour.
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Affiliation(s)
- N Xiao
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing 100081, China
| | - L Zhang
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing 100081, China.
| | - X Peng
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing 100081, China
| | - C Mao
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing 100081, China
| | - J Zhang
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing 100081, China
| | - Z G Cai
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing 100081, China
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Yan RY, Wang SJ, Yao GT, Liu ZG, Xiao N. The protective effect and its mechanism of 3-n-butylphthalide pretreatment on cerebral ischemia reperfusion injury in rats. Eur Rev Med Pharmacol Sci 2018; 21:5275-5282. [PMID: 29228445 DOI: 10.26355/eurrev_201711_13852] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
OBJECTIVE To investigate the potential effect of 3-n-butylphthalide (NBP) pretreatment on the cerebral ischemia/reperfusion injury in rats and the relevant mechanism. MATERIALS AND METHODS A total of 90 rats was divided into three groups: Sham operation group (Sham group), ischemia-reperfusion group (I-R group), and NBP pretreatment group (NBP group 75 mg·kg-1·d-1 gavage). Pre-treatment was given once a day within 1 week before establishing the rat model of cerebral ischemia-reperfusion injury. The middle cerebral artery occlusion (MACO) rat models were established with the improved Longa-Zea method on the 7th day after ischemia for 2 h and reperfusion for 24 h in all the rats. We detected the cerebral infarction, the pathologic change of brain, the apoptosis of nerve cell, the production levels of reactive oxygen species (ROS), the content of malonaldehyde (MDA) and the activity of superoxide dismutase (SOD), the water content and the permeability of blood-brain barriers (BBB). In addition, we also observed the expressions of mitogen-activated protein kinase (MAPK, p-38, JNK, ERK1/2) and cleaved caspase-3 in the hippocampus tissues. RESULTS Compared with Sham group, we discovered that NBP significantly reduced infarction area, cell apoptosis, BBB damage and water content. Further, we found that NBP could also decrease ROS and MDA, and increase SOD activity in brain tissues of rats with a cerebral ischemia-reperfusion injury. Moreover, results showed that NBP also inhibited the levels p38 and JNK. CONCLUSIONS NBP protected the cerebral from I/R injury, providing ideas for the expansion of clinical adaptability of NBP and possible approaches for its application.
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Affiliation(s)
- R-Y Yan
- Department of Neurology, Changle People's Hospital, Changle County, Shandong Province, China.
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Xiao N, Wang Y, Zhao YJ. [Advances in determination of median sagittal plane of facial soft tissue]. Zhonghua Kou Qiang Yi Xue Za Zhi 2018; 53:495-499. [PMID: 29996372 DOI: 10.3760/cma.j.issn.1002-0098.2018.07.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Facial symmetry is a crucial component of human facial esthetics. Along with the increasing pursuit of aesthetic, in recent years, more and more researchers have focused on facial asymmetry assessment, of which determining the facial median sagittal plane is the first and most important step, and it will directly affect the accuracy of asymmetry evaluation and clinical treatment outcome. Limited by technical means, the earlier studies of facial soft tissue asymmetry assessment were mainly based on midline from two-dimensional (2D) images. Along with the development of three-dimensional (3D) measurement and data analysis techniques, new methods such as 3D landmark-based method and mirror-original alignment method have become main trend nowadays. This article systematically reviews the methods of determination of median sagittal plane of facial soft tissue, elaborates the developments and the latest research progress in this field, and discusses the advantages and limitations of each method in order to provide reference for clinical application.
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Affiliation(s)
- N Xiao
- Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Research Center of Engineering and Technology for Digital Dentistry of Ministry of Health & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - Y Wang
- Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Research Center of Engineering and Technology for Digital Dentistry of Ministry of Health & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - Y J Zhao
- Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Research Center of Engineering and Technology for Digital Dentistry of Ministry of Health & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
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Domenyuk V, Gatalica Z, Santhanam R, Wei X, Stark A, Kennedy P, Toussaint B, Levenberg S, Wang R, Xiao N, Greil R, Rinnerthaler G, Gampenrieder S, Heimberger AB, Berry DJ, Barker A, Demetri GD, Quackenbush J, Marshall JL, Poste G, Vacirca JL, Vidal GA, Schwartzberg LS, Halbert DD, Voss A, Miglarese MR, Famulok M, Mayer G, Spetzler D. Abstract P2-09-09: Polyligand profiling differentiates cancer patients according to their benefit of treatment. Cancer Res 2018. [DOI: 10.1158/1538-7445.sabcs17-p2-09-09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Deconvolution of multi-nodal perturbations in cancer network architecture demands highly multiplexed profiling assays. We demonstrate the value of polyligand profiling of tumor systems states using libraries of single stranded oligodeoxynucleotides (ssODN) to distinguish between tumor tissue from breast cancer patients who did or did not derive benefit from treatment regimens containing trastuzumab.
Methods: This study included cases from women with invasive breast cancer who received chemotherapy+ trastuzumab (C+T) or trastuzumab monotherapy with available retrospective data on the time to next treatment (TTNT). A library of 2x1012 unique ssODN was exposed to FFPE tissues from patients who benefited (B) or not (NB) from trastuzumab-based regimens in several rounds of positive and negative selection. Two enriched libraries were screened on independent set of 42 B and 19 NB cases using a modified IHC protocol for detection of bound ssODNs. Poly-Ligand Profiles (PLP) were scored by a blinded pathologist. Two libraries, EL-NB and EL-B, showed significant p-values between groups of responders and non-responders. A Cox-PH model was fitted using either tumors' HER2 status or PLP test results as the independent variable. Median survival time was calculated from the Kaplan-Meier estimate. A separate group of 63 cases with TTNT data from chemotherapy without trastuzumab was used as a control to distinguish prognostic from predictive performance.
Results: The PLP scores of EL-NB and EL-B were assessed by receiver operating characteristic (ROC) curves and resulted in a combined AUC value of 0.81. EL-NB and EL-B were able to effectively classify B and NB patients with either HER2-negative/equivocal (AUC = 0.73) or HER2-positive cancers (AUC = 0.84). In contrast, HER2 status alone yielded an AUC value of 0.47. The combined PLP scores for the independent set of 63 patients treated with C excluding trastuzumab resulted in an AUC value of 0.53, indicating that the assay was predictive and not simply prognostic. Kaplan-Meier curves analysis shows that PLP+ cases have 429 days median TTNT, while PLP- cases have 129 days (HR = 0.38, log-rank p = 0.001). Analysis based on HER2 status showed no significant difference in TTNT between patients that were HER2+ (280 days) or HER2-negative/equivocal (336 days, HR = 1.27, log-rank p =0.45).
Summary: Performance of the PLP assay in differentiating patients who did or did not benefit from trastuzumab therapy outperforms the standard IHC assay for HER2 status. These results represent a promising step towards the development of a CDx to identify the 50-70% of HER2+ patients who will not benefit from trastuzumab. In addition, PLP also has the potential to identify the HER2-negative/equivocal patients who may benefit from trastuzumab-containing regimens.
Citation Format: Domenyuk V, Gatalica Z, Santhanam R, Wei X, Stark A, Kennedy P, Toussaint B, Levenberg S, Wang R, Xiao N, Greil R, Rinnerthaler G, Gampenrieder S, Heimberger AB, Berry DJ, Barker A, Demetri GD, Quackenbush J, Marshall JL, Poste G, Vacirca JL, Vidal GA, Schwartzberg LS, Halbert DD, Voss A, Miglarese MR, Famulok M, Mayer G, Spetzler D. Polyligand profiling differentiates cancer patients according to their benefit of treatment [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P2-09-09.
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Affiliation(s)
- V Domenyuk
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - Z Gatalica
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - R Santhanam
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - X Wei
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - A Stark
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - P Kennedy
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - B Toussaint
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - S Levenberg
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - R Wang
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - N Xiao
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - R Greil
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - G Rinnerthaler
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - S Gampenrieder
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - AB Heimberger
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - DJ Berry
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - A Barker
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - GD Demetri
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - J Quackenbush
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - JL Marshall
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - G Poste
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - JL Vacirca
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - GA Vidal
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - LS Schwartzberg
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - DD Halbert
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - A Voss
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - MR Miglarese
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - M Famulok
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - G Mayer
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
| | - D Spetzler
- Caris Life Sciences, Phoenix, AZ; Paracelsus Medical University Salzburg, Austria and Salzburg Cancer Research Institute, and Cancer Cluster Salzburg, Salzburg, Austria; University of Texas MD Anderson Cancer Center, Houston, TX; Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ; Dana-Farber Cancer Institute and Ludwig Center at Harvard Medical School, Boston, MA; Dana-Farber Cancer Institute, Boston, Boston, MA; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC; North Shore Hematology Oncology Associates Cancer Center, New York, NY; University of Tennessee Health Science Center, Memphis, TN; LIMES Program Unit Chemical Biology & Medicinal Chemistry, c/o Kekulé Institute for Organic Chemistry and Biochemistry, University of Bonn, Bonn, Germany; Chemical Biology Max-Planck-Fellowship Group, Center of Advanced European Studies and Research (CAESAR, Bonn, Germany; Center of Aptamer Research and Development, University of Bonn, Bonn, Germany
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Xiao N, Cheng A, Zhu QG, Cheng Q, Wu RB, Yu BR, Wang Z. Synthesis of Homoleptic and Heteroleptic Ruthenium Complexes Appended with Glucosyl Ligand by the Click-to-Chelate Approach. RUSS J GEN CHEM+ 2018. [DOI: 10.1134/s1070363217120507] [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: 11/23/2022]
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Kaspar CDW, Lo M, Bunchman TE, Xiao N. The antenatal urinary tract dilation classification system accurately predicts severity of kidney and urinary tract abnormalities. J Pediatr Urol 2017; 13:485.e1-485.e7. [PMID: 28499796 DOI: 10.1016/j.jpurol.2017.03.020] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 03/14/2017] [Indexed: 10/19/2022]
Abstract
BACKGROUND Urinary tract dilation (UTD) is a commonly diagnosed prenatal condition; however, it is currently unknown which features lead to benign and resolving or pathologic abnormalities. A consensus UTD classification system (antenatal UTD classification, UTD-A) was created by Nguyen et al. in 2014 [1], but has not yet been validated. OBJECTIVE To evaluate the ability of the UTD-A system to identify kidney and urinary tract (KUT) abnormalities, assess whether UTD-A can predict severity of KUT conditions, and perform a cost analysis of screening ultrasound (US). METHODS A retrospective single-center study was conducted at an academic medical center. Inclusion criteria were: neonates in the well or sick nursery who had a complete abdominal or limited renal US performed in the first 30 days of life between January 01, 2011 and December 31, 2013. Data were collected on prenatal US characteristics from which UTD-A classification was retrospectively applied, and postnatal data were collected up to 2 years following birth. RESULTS A total of 203 patients were identified. Of the 36 abnormal postnatal KUT diagnoses, 90% were identified prenatally as UTD A1 or UTD A2-3. The remaining 10% developed postnatal KUT abnormalities due to myelomeningocele, such as VUR or UTD, which were not evident prenatally. Overall sensitivity and specificity of the UTD-A system was 0.767 (95% CI 0.577, 0.901) and 0.836 (95% CI 0.758, 0.897), respectively, when resolved UTD was counted as a normal diagnosis. Postnatal diagnoses differed by UTD-A classification as shown in the Summary fig. Of all the obstructive uropathies, 90.9% occurred in the UTD A2-3 class and none occurred in UTD-A Normal. Rate of postnatally resolved UTD was significantly higher in the UTD A1 group (78%) compared with UTD A2-3 (31%) or UTD-A Normal (12%, all P < 0.001). There was a notable trend towards more UT surgeries, UTI, and positive VUR among UTD A2-3 patients, but statistical significance was limited by a small number of patients. CONCLUSIONS This study found that the UTD-A classification system revealed important differences in the severity of UTD abnormalities. With repeated validation in larger cohorts, the UTD-A classification may be used to offer a prognosis for parents regarding prenatally diagnosed KUT conditions. Larger prospective studies should be designed to validate whether the UTD-A system can predict postnatal events related to UTD morbidity such as need for UT-related surgery or UTI.
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Affiliation(s)
- C D W Kaspar
- Virginia Commonwealth University, Division of Pediatric Nephrology, Richmond, VA, USA.
| | - M Lo
- Virginia Commonwealth University, Division of Pediatric Nephrology, Richmond, VA, USA
| | - T E Bunchman
- Virginia Commonwealth University, Division of Pediatric Nephrology, Richmond, VA, USA
| | - N Xiao
- Virginia Commonwealth University, Division of Pediatric Nephrology, Richmond, VA, USA
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50
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Dang Z, Zhang X, Luo X, Gao Z, Jia W, Xiao N, Huang F, Zhao Y, Xu S, Hu W, Zheng Y. Limited fertility of the subcutaneous cysts of Echinococcus multilocularis. Trop Biomed 2017; 34:491-493. [PMID: 33593034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Echinococcus multilocularis is a tiny devastating worm that causes alveolar echinococcosis in humans. This disease mainly occurs in the liver but rarely in other organs. We report the subcutaneous encystment of E. multilocularis metacestodes in experimentally infected mice. Subcutaneous cysts had remarkably fewer protoscoleces (2.05 ± 1.47, n = 20) and small irregular-shape vesicles (ISVs) in the lumen as compared to liver cysts (69.6 ± 55.65, n = 10). Moreover, abnormal development of a protoscolex was also observed in a subcutaneous cyst. The results suggest that subcutaneous encystment may have potential adverse effects on the reproductivity and development of protoscoleces, providing potential explanations for high tissue preference of metacestode encystment.
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Affiliation(s)
- Z Dang
- Key Laboratory on Biology of Parasite and Vector, Ministry of Health, Shanghai, China; National Center for International Research on Tropical Diseases, Shanghai, China; WHO Collaborating Center for Tropical Diseases, Shanghai, China; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, China
| | - X Zhang
- State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, CAAS, Lanzhou, Gansu 730046, China
| | - X Luo
- State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, CAAS, Lanzhou, Gansu 730046, China
| | - Z Gao
- State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, CAAS, Lanzhou, Gansu 730046, China
| | | | - N Xiao
- Key Laboratory on Biology of Parasite and Vector, Ministry of Health, Shanghai, China; National Center for International Research on Tropical Diseases, Shanghai, China; WHO Collaborating Center for Tropical Diseases, Shanghai, China; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, China
| | - F Huang
- Parasitology Laboratory, School of Veterinary Medicine, Faculty of Agriculture, Tottori University, Tottori 680-8553, Japan
| | - Y Zhao
- Department of Biomedical Engineering, College of Biotechnology, Guilin Medical University, Guilin, Guangxi 541004, China
| | - S Xu
- Key Laboratory on Biology of Parasite and Vector, Ministry of Health, Shanghai, China; National Center for International Research on Tropical Diseases, Shanghai, China; WHO Collaborating Center for Tropical Diseases, Shanghai, China; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, China
- Department of Biomedical Engineering, College of Biotechnology, Guilin Medical University, Guilin, Guangxi 541004, China
| | - W Hu
- Key Laboratory on Biology of Parasite and Vector, Ministry of Health, Shanghai, China; National Center for International Research on Tropical Diseases, Shanghai, China; WHO Collaborating Center for Tropical Diseases, Shanghai, China; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, China
| | - Y Zheng
- State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, CAAS, Lanzhou, Gansu 730046, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou 225009, China
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