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Wang L, Luo M, Yu X, Li R, Ye F, Xiong D, Gong Y, Zheng M, Liu W, Zeng J. Assessing the clinical diagnostic value of anti-Müllerian hormone in polycystic ovarian syndrome and its correlation with clinical and metabolism indicators. J Ovarian Res 2024; 17:78. [PMID: 38600539 PMCID: PMC11005241 DOI: 10.1186/s13048-024-01405-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 04/02/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND This study investigated the association between Anti-Müllerian Hormone (AMH) and relevant metabolic parameters and assessed its predictive value in the clinical diagnosis of polycystic ovarian syndrome (PCOS). METHODS A total of 421 women aged 20-37 years were allocated to the PCOS (n = 168) and control (n = 253) groups, and their metabolic and hormonal parameters were compared. Spearman correlation analysis was conducted to investigate associations, binary logistic regression was used to determine PCOS risk factors, and receiver operating characteristic (ROC) curves were generated to evaluate the predictive value of AMH in diagnosing PCOS. RESULTS The PCOS group demonstrated significantly higher blood lipid, luteinizing hormone (LH), and AMH levels than the control group. Glucose and lipid metabolism and hormonal disorders in the PCOS group were more significant than in the control group among individuals with and without obesity. LH, TSTO, and AMH were identified as independent risk factors for PCOS. AMH along with LH, and antral follicle count demonstrated a high predictive value for diagnosing PCOS. CONCLUSION AMH exhibited robust diagnostic use for identifying PCOS and could be considered a marker for screening PCOS to improve PCOS diagnostic accuracy. Attention should be paid to the effect of glucose and lipid metabolism on the hormonal and related parameters of PCOS populations.
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Affiliation(s)
- Li Wang
- Reproductive Medicine Center, Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610045, China
| | - Mengjun Luo
- Department of Clinical Laboratory, School of Medicine, Chengdu Women's and Children's Central Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, China
| | - Xiaoyu Yu
- Reproductive Medicine Center, Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610045, China
| | - Rong Li
- Reproductive Medicine Center, Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610045, China
| | - Fei Ye
- Reproductive Medicine Center, Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610045, China
| | - Dongsheng Xiong
- Reproductive Medicine Center, Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610045, China
| | - Yan Gong
- Reproductive Medicine Center, Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610045, China
| | - Mingyue Zheng
- Reproductive Medicine Center, Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610045, China
| | - Weixin Liu
- Reproductive Medicine Center, Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610045, China.
| | - Jiuzhi Zeng
- Reproductive Medicine Center, Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610045, China.
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Zhang G, Guo J, Yang H, Li Q, Ye F, Song Y, Xiong D, Zeng J, Zhi W, Yuan S, Lv Y, Li T, Wang Y, Liao L, Deng D, Liu W, Xu W. Metabolic profiling identifies Qrich2 as a novel glutamine sensor that regulates microtubule glutamylation and mitochondrial function in mouse sperm. Cell Mol Life Sci 2024; 81:170. [PMID: 38597976 PMCID: PMC11006759 DOI: 10.1007/s00018-024-05177-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 01/30/2024] [Accepted: 02/14/2024] [Indexed: 04/11/2024]
Abstract
In our prior investigation, we discerned loss-of-function variants within the gene encoding glutamine-rich protein 2 (QRICH2) in two consanguineous families, leading to various morphological abnormalities in sperm flagella and male infertility. The Qrich2 knockout (KO) in mice also exhibits multiple morphological abnormalities of the flagella (MMAF) phenotype with a significantly decreased sperm motility. However, how ORICH2 regulates the formation of sperm flagella remains unclear. Abnormal glutamylation levels of tubulin cause dysplastic microtubules and flagella, eventually resulting in the decline of sperm motility and male infertility. In the current study, by further analyzing the Qrich2 KO mouse sperm, we found a reduced glutamylation level and instability of tubulin in Qrich2 KO mouse sperm flagella. In addition, we found that the amino acid metabolism was dysregulated in both testes and sperm, leading to the accumulated glutamine (Gln) and reduced glutamate (Glu) concentrations, and disorderly expressed genes responsible for Gln/Glu metabolism. Interestingly, mice fed with diets devoid of Gln/Glu phenocopied the Qrich2 KO mice. Furthermore, we identified several mitochondrial marker proteins that could not be correctly localized in sperm flagella, which might be responsible for the reduced mitochondrial function contributing to the reduced sperm motility in Qrich2 KO mice. Our study reveals a crucial role of a normal Gln/Glu metabolism in maintaining the structural stability of the microtubules in sperm flagella by regulating the glutamylation levels of the tubulin and identifies Qrich2 as a possible novel Gln sensor that regulates microtubule glutamylation and mitochondrial function in mouse sperm.
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Affiliation(s)
- Guohui Zhang
- Department of Obstetrics and Gynecology, Joint Laboratory of Reproductive Medicine (SCU-CUHK), Key Laboratory of Obstetric, Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610000, China
| | - Juncen Guo
- Department of Obstetrics and Gynecology, Joint Laboratory of Reproductive Medicine (SCU-CUHK), Key Laboratory of Obstetric, Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Haoxuan Yang
- Department of Obstetrics and Gynecology, Joint Laboratory of Reproductive Medicine (SCU-CUHK), Key Laboratory of Obstetric, Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Qing Li
- Department of Obstetrics and Gynecology, Joint Laboratory of Reproductive Medicine (SCU-CUHK), Key Laboratory of Obstetric, Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Fei Ye
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610000, China
| | - Yuelin Song
- Department of Obstetrics and Gynecology, Joint Laboratory of Reproductive Medicine (SCU-CUHK), Key Laboratory of Obstetric, Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Dongsheng Xiong
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610000, China
| | - Jiuzhi Zeng
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610000, China
| | - Weiwei Zhi
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610000, China
| | - Shuiqiao Yuan
- Institute Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yunyun Lv
- Key Laboratory of Sichuan Province for Fishes Conservation and Utilization in the Upper Reaches of the Yangtze River, College of Life Sciences, Neijiang Normal University, Neijiang, 641100, China
| | - Tongtong Li
- Department of Obstetrics and Gynecology, Joint Laboratory of Reproductive Medicine (SCU-CUHK), Key Laboratory of Obstetric, Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Yan Wang
- Reproduction Medical Center of West China Second University Hospital, Key Laboratory of Obstetric, Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Lu Liao
- Puhua Bioscience, Chengdu, 610000, China
| | - Dong Deng
- Department of Obstetrics and Gynecology, Joint Laboratory of Reproductive Medicine (SCU-CUHK), Key Laboratory of Obstetric, Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Weixin Liu
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610000, China.
| | - Wenming Xu
- Department of Obstetrics and Gynecology, Joint Laboratory of Reproductive Medicine (SCU-CUHK), Key Laboratory of Obstetric, Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
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Zhang G, Zhi W, Ye F, Xiong D, Zhang Y, Liu F, Zhao Y, Du X, Wu Y, Hou M, Liu J, Wei J, Silang Y, Xu W, Zeng J, Chen S, Liu W. Systematic analyses of the factors influencing sperm quality in patients with SARS-CoV-2 infection. Sci Rep 2024; 14:8132. [PMID: 38584153 PMCID: PMC10999436 DOI: 10.1038/s41598-024-58797-y] [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: 10/08/2023] [Accepted: 04/03/2024] [Indexed: 04/09/2024] Open
Abstract
To figure out how does SARS-CoV-2 affect sperm parameters and what influencing factors affect the recovery of sperm quality after infection? We conducted a prospective cohort study and initially included 122 men with SARS-CoV-2 infection. The longest time to track semen quality after infection is 112 days and 58 eligible patients were included in our study eventually. We subsequently exploited a linear mixed-effects model to statistically analyze their semen parameters at different time points before and after SARS-CoV-2 infection. Semen parameters were significantly reduced after SARS-CoV-2 infection, including total sperm count (211 [147; 347] to 167 [65.0; 258], P < 0.001), sperm concentration (69.0 [38.8; 97.0] to 51.0 [25.5; 71.5], P < 0.001), total sperm motility (57.5 [52.3; 65.0] to 51.0 [38.5; 56.8], P < 0.001), progressive motility (50.0 [46.2; 58.0] to 45.0 [31.5; 52.8], P < 0.001). The parameters displayed the greatest diminution within 30 days after SARS-CoV-2 infection, gradually recovered thereafter, and exhibited no significant difference after 90 days compared with prior to COVID-19 infection. In addition, the patients in the group with a low-grade fever showed a declining tendency in semen parameters, but not to a significant degree, whereas those men with a moderate or high fever produced a significant drop in the same parameters. Semen parameters were significantly reduced after SARS-CoV-2 infection, and fever severity during SARS-CoV-2 infection may constitute the main influencing factor in reducing semen parameters in patients after recovery, but the effect is reversible and the semen parameters gradually return to normal with the realization of a new spermatogenic cycle.
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Affiliation(s)
- Guohui Zhang
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610045, China
- Sichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology, Chengdu, 610072, China
| | - Weiwei Zhi
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610045, China
| | - Fei Ye
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610045, China
| | - Dongsheng Xiong
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610045, China
| | - Yanan Zhang
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610045, China
| | - Fulin Liu
- Sichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology, Chengdu, 610072, China
| | - Yuhong Zhao
- School of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, China
| | - Xinrong Du
- Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
| | - Yang Wu
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610045, China
| | - Mingxia Hou
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610045, China
| | - Jiu Liu
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610045, China
| | - Jiajing Wei
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610045, China
| | - Yangzhong Silang
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610045, China
| | - Wenming Xu
- Department of Obstetrics and Gynecology, Joint Laboratory of Reproductive Medicine (SCU-CUHK), Key Laboratory of Obstetric, Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jiuzhi Zeng
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610045, China.
| | - Shiqi Chen
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610045, China.
| | - Weixin Liu
- Key Laboratory of Reproductive Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, 610045, China.
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Liang L, Li S, Huang Y, Zhou J, Xiong D, Li S, Li H, Zhu B, Li X, Ning Y, Hou X, Wu F, Wu K. Relationships among the gut microbiome, brain networks, and symptom severity in schizophrenia patients: A mediation analysis. Neuroimage Clin 2024; 41:103567. [PMID: 38271852 PMCID: PMC10835015 DOI: 10.1016/j.nicl.2024.103567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 01/12/2024] [Accepted: 01/12/2024] [Indexed: 01/27/2024]
Abstract
The microbiome-gut-brain axis (MGBA) plays a critical role in schizophrenia (SZ). However, the underlying mechanisms of the interactions among the gut microbiome, brain networks, and symptom severity in SZ patients remain largely unknown. Fecal samples, structural and functional magnetic resonance imaging (MRI) data, and Positive and Negative Syndrome Scale (PANSS) scores were collected from 38 SZ patients and 38 normal controls, respectively. The data of 16S rRNA gene sequencing were used to analyze the abundance of gut microbiome and the analysis of human brain networks was applied to compute the nodal properties of 90 brain regions. A total of 1,691,280 mediation models were constructed based on 261 gut bacterial, 810 nodal properties, and 4 PANSS scores in SZ patients. A strong correlation between the gut microbiome and brain networks (r = 0.89, false discovery rate (FDR) -corrected p < 0.05) was identified. Importantly, the PANSS scores were linearly correlated with both the gut microbiome (r = 0.5, FDR-corrected p < 0.05) and brain networks (r = 0.59, FDR-corrected p < 0.05). The abundance of genus Sellimonas significantly affected the PANSS negative scores of SZ patients via the betweenness centrality of white matter networks in the inferior frontal gyrus and amygdala. Moreover, 19 significant mediation models demonstrated that the nodal properties of 7 brain regions, predominately from the systems of visual, language, and control of action, showed significant mediating effects on the PANSS scores with the gut microbiome as mediators. Together, our findings indicated the tripartite relationships among the gut microbiome, brain networks, and PANSS scores and suggested their potential role in the neuropathology of SZ.
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Affiliation(s)
- Liqin Liang
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, China
| | - Shijia Li
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, China; Swammerdam Institute for Life Sciences (SILS), University of Amsterdam, Amsterdam, The Netherlands
| | - Yuanyuan Huang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, China
| | - Jing Zhou
- School of Material Science and Engineering, South China University of Technology, Guangzhou 510006, China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou 510006, China
| | - Dongsheng Xiong
- School of Material Science and Engineering, South China University of Technology, Guangzhou 510006, China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou 510006, China
| | - Shaochuan Li
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China; Realmeta Technology (Guangzhou) Co., Ltd, Guangzhou 510535, China
| | - Hehua Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, China
| | - Baoyuan Zhu
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, China
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
| | - Yuping Ning
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, China
| | - Xiaohui Hou
- Guangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou 510500, China.
| | - Fengchun Wu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, China.
| | - Kai Wu
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou 510006, China; Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan.
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5
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Wang Z, Lu Y, Liu Y, Mou J, Liu X, Chen M, Wang Y, Xu Y, Rao Q, Xing H, Tang K, Tian Z, Wang B, Qi W, Wang M, Qiu S, Xiong D, Wang J. Novel CD123×CD33 bicistronic chimeric antigen receptor (CAR)-T therapy has potential to reduce escape from single-target CAR-T with no more hematotoxicity. Cancer Commun (Lond) 2023; 43:1178-1182. [PMID: 37525513 PMCID: PMC10565379 DOI: 10.1002/cac2.12474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 04/07/2023] [Accepted: 07/21/2023] [Indexed: 08/02/2023] Open
Affiliation(s)
- Zhenzhen Wang
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | - Yang Lu
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | - Yu Liu
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | - Junli Mou
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | - Xiaoyu Liu
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | - Manling Chen
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | - Ying Wang
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | - Yingxi Xu
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | - Qing Rao
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | - Haiyan Xing
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | - Kejing Tang
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | - Zheng Tian
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | | | - Wei Qi
- Novogene Co, LtdBeijingP. R. China
| | - Min Wang
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | - Shaowei Qiu
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | - Dongsheng Xiong
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
| | - Jianxiang Wang
- State Key Laboratory of Experimental HematologyNational Clinical Research Center for Blood DiseasesTianjin Key Laboratory of Cell Therapy for Blood DiseasesHaihe Laboratory of Cell EcosystemInstitute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjinP. R. China
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Wei J, Xiong D, Zhang Y, Zeng J, Liu W, Ye F. Predicting ovarian responses to the controlled ovarian hyperstimulation in elderly infertile women using clinical measurements and random forest regression. Eur J Obstet Gynecol Reprod Biol 2023; 288:153-159. [PMID: 37544248 DOI: 10.1016/j.ejogrb.2023.07.012] [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: 01/03/2023] [Revised: 07/06/2023] [Accepted: 07/22/2023] [Indexed: 08/08/2023]
Abstract
During the past decades, the number of elderly infertile women is obviously increasing in China, and more and more of them are likely to seek medical assisted reproductive technologies. As the in vitro fertilization/embryo transfer (IVF/ET) treatment presents special medical and psychological challenges to elderly infertile women, it is extremely helpful to perform the clinical evaluation and outcome prediction regarding IVF/ET outcomes. In this study, we retrospectively collected 12 clinical measurements in prior to the oocyte recovery for 689 elderly infertile patients (≥35 years of old), and used for predicting ovarian responses to the controlled ovarian hyperstimulation based on random forest regression models. Using different predictor sets and 10-fold cross validation approach, the Mean Square Error (±standard deviation) of prediction models varied from 7.56 ± 0.31 to 13.90 ± 0.37 in the training datasets, and the correlation coefficients between observed and predicted values ranged from 0.86 ± 0.02 to 0.72 ± 0.05 in the testing datasets. Among all clinical measurements involved in this study, the preovulatory follicle count (PFC), antral follicle count (AFC), and anti-Müllerian hormone (AMH) were revealed to be the most important features in prediction models. In conclusion, we successfully established the machine learning approach that could help the elderly infertile patients to better understand the most possible outcomes in subjecting to the controlled ovarian hyperstimulation.
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Affiliation(s)
- Jiajing Wei
- Reproductive Medicine Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, 290 Shayan West Second Street, Wuhou District, Chengdu 610045, Sichuan, China
| | - Dongsheng Xiong
- Reproductive Medicine Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, 290 Shayan West Second Street, Wuhou District, Chengdu 610045, Sichuan, China
| | - Yanan Zhang
- Reproductive Medicine Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, 290 Shayan West Second Street, Wuhou District, Chengdu 610045, Sichuan, China
| | - Jiuzhi Zeng
- Reproductive Medicine Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, 290 Shayan West Second Street, Wuhou District, Chengdu 610045, Sichuan, China
| | - Weixin Liu
- Reproductive Medicine Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, 290 Shayan West Second Street, Wuhou District, Chengdu 610045, Sichuan, China.
| | - Fei Ye
- Reproductive Medicine Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, 290 Shayan West Second Street, Wuhou District, Chengdu 610045, Sichuan, China.
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Guo Y, Zhang G, Yang Q, Xie X, Lu Y, Cheng X, Wang H, Liang J, Tang J, Gao Y, Shang H, Dai J, Shi Y, Zhou J, Zhou J, Guo H, Yang H, Qi J, Liu L, Ma S, Zhang B, Huo Q, Xie Y, Wu J, Dong F, Zhang S, Lou Z, Gao Y, Song Z, Wang W, Sun Z, Yang X, Xiong D, Liu F, Chen X, Zhu P, Wang X, Cheng T, Rao Z. Discovery and characterization of potent pan-variant SARS-CoV-2 neutralizing antibodies from individuals with Omicron breakthrough infection. Nat Commun 2023; 14:3537. [PMID: 37322000 PMCID: PMC10267556 DOI: 10.1038/s41467-023-39267-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 05/30/2023] [Indexed: 06/17/2023] Open
Abstract
The SARS-CoV-2 Omicron variant evades most currently approved neutralizing antibodies (nAbs) and caused drastic decrease of plasma neutralizing activity elicited by vaccination or prior infection, urging the need for the development of pan-variant antivirals. Breakthrough infection induces a hybrid immunological response with potentially broad, potent and durable protection against variants, therefore, convalescent plasma from breakthrough infection may provide a broadened repertoire for identifying elite nAbs. We performed single-cell RNA sequencing (scRNA-seq) and BCR sequencing (scBCR-seq) of B cells from BA.1 breakthrough-infected patients who received 2 or 3 previous doses of inactivated vaccine. Elite nAbs, mainly derived from the IGHV2-5 and IGHV3-66/53 germlines, showed potent neutralizing activity across Wuhan-Hu-1, Delta, Omicron sublineages BA.1 and BA.2 at picomolar NT50 values. Cryo-EM analysis revealed diverse modes of spike recognition and guides the design of cocktail therapy. A single injection of paired antibodies cocktail provided potent protection in the K18-hACE2 transgenic female mouse model of SARS-CoV-2 infection.
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Grants
- National Natural Science Foundation of China (National Science Foundation of China)
- Chinese Academy of Medical Sciences (CAMS)
- This work was supported by the National Program on Key Research Project of China (2018YFE0200400, 2021YFE0201900, 2021YFA1100900 and 2018YFA0507200),The Key Program of Natural Science Foundation of Tianjin (20JCYBJC01340), Haihe Laboratory of Cell Ecosystem Innovation Fund (22HHXBSS00001),Science and Technology Project of Tianjin (22ZYJDSS00080),the Non-CAMS Fundamental Research Funds for Central Research Institutes (3332021093), Application for Basic and Applied Basic Research Projects of Guangzhou Basic Research Program (SL2023A04J00076), Emergency Key Program of Guangzhou Laboratory (EKPGL2021008), R&D Program of Guangzhou Laboratory (SRPG22-003, SRPG22-002).
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Affiliation(s)
- Yu Guo
- State Key Laboratory of Medicinal Chemical Biology and College of Life Sciences, Nankai University, 38 Tongyan Road, Tianjin, 300071, China.
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Guangzhou Laboratory, Guangzhou, Guangdong, People's Republic of China.
- Beijing Institute of Biological Products Company Limited, China National Biotech Group, Beijing, 100176, China.
| | - Guangshun Zhang
- State Key Laboratory of Medicinal Chemical Biology and College of Life Sciences, Nankai University, 38 Tongyan Road, Tianjin, 300071, China
- Guangzhou Laboratory, Guangzhou, Guangdong, People's Republic of China
- CNBG-Nankai Joint Research Center, Nankai University, 94 Weijin Road, Tianjin, 300071, China
- Frontiers Science Center for Cell Responses, Nankai University, 94 Weijin Road, Tianjin, 300071, China
| | - Qi Yang
- Guangzhou Laboratory, Guangzhou, Guangdong, People's Republic of China.
| | - Xiaowei Xie
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Yang Lu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Xuelian Cheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Hui Wang
- Beijing Institute of Biological Products Company Limited, China National Biotech Group, Beijing, 100176, China
- CNBG-Nankai Joint Research Center, Nankai University, 94 Weijin Road, Tianjin, 300071, China
| | - Jingxi Liang
- State Key Laboratory of Medicinal Chemical Biology and College of Life Sciences, Nankai University, 38 Tongyan Road, Tianjin, 300071, China
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, 201210, P.R. China
| | - Jielin Tang
- Guangzhou Laboratory, Guangzhou, Guangdong, People's Republic of China
| | - Yuxin Gao
- State Key Laboratory of Medicinal Chemical Biology and College of Life Sciences, Nankai University, 38 Tongyan Road, Tianjin, 300071, China
- CNBG-Nankai Joint Research Center, Nankai University, 94 Weijin Road, Tianjin, 300071, China
- Frontiers Science Center for Cell Responses, Nankai University, 94 Weijin Road, Tianjin, 300071, China
| | - Hang Shang
- State Key Laboratory of Medicinal Chemical Biology and College of Life Sciences, Nankai University, 38 Tongyan Road, Tianjin, 300071, China
- CNBG-Nankai Joint Research Center, Nankai University, 94 Weijin Road, Tianjin, 300071, China
- Frontiers Science Center for Cell Responses, Nankai University, 94 Weijin Road, Tianjin, 300071, China
| | - Jun Dai
- Guangzhou Customs District Technology Center, Guangzhou, 510700, China
| | - Yongxia Shi
- Guangzhou Customs District Technology Center, Guangzhou, 510700, China
| | - Jiaxi Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Jun Zhou
- State Key Laboratory of Medicinal Chemical Biology and College of Life Sciences, Nankai University, 38 Tongyan Road, Tianjin, 300071, China
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Hangtian Guo
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, 201210, P.R. China
| | - Haitao Yang
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, 201210, P.R. China
| | - Jianwei Qi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Lijun Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Shihui Ma
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Biao Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Qianyu Huo
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Yi Xie
- Tianjin Haihe Hospital, Jingu Road, Tianjin, 300071, China
| | - Junping Wu
- Tianjin Haihe Hospital, Jingu Road, Tianjin, 300071, China
| | - Fang Dong
- State Key Laboratory of Medicinal Chemical Biology and College of Life Sciences, Nankai University, 38 Tongyan Road, Tianjin, 300071, China
- Frontiers Science Center for Cell Responses, Nankai University, 94 Weijin Road, Tianjin, 300071, China
| | - Song Zhang
- State Key Laboratory of Medicinal Chemical Biology and College of Life Sciences, Nankai University, 38 Tongyan Road, Tianjin, 300071, China
- Frontiers Science Center for Cell Responses, Nankai University, 94 Weijin Road, Tianjin, 300071, China
| | - Zhiyong Lou
- Guangzhou Laboratory, Guangzhou, Guangdong, People's Republic of China
| | - Yan Gao
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, 201210, P.R. China
| | - Zidan Song
- State Key Laboratory of Medicinal Chemical Biology and College of Life Sciences, Nankai University, 38 Tongyan Road, Tianjin, 300071, China
- Guangzhou Laboratory, Guangzhou, Guangdong, People's Republic of China
- CNBG-Nankai Joint Research Center, Nankai University, 94 Weijin Road, Tianjin, 300071, China
- Frontiers Science Center for Cell Responses, Nankai University, 94 Weijin Road, Tianjin, 300071, China
| | - Wenming Wang
- State Key Laboratory of Medicinal Chemical Biology and College of Life Sciences, Nankai University, 38 Tongyan Road, Tianjin, 300071, China
- CNBG-Nankai Joint Research Center, Nankai University, 94 Weijin Road, Tianjin, 300071, China
- Frontiers Science Center for Cell Responses, Nankai University, 94 Weijin Road, Tianjin, 300071, China
| | - Zixian Sun
- Guangzhou Laboratory, Guangzhou, Guangdong, People's Republic of China
| | - Xiaoming Yang
- Beijing Institute of Biological Products Company Limited, China National Biotech Group, Beijing, 100176, China.
- CNBG-Nankai Joint Research Center, Nankai University, 94 Weijin Road, Tianjin, 300071, China.
| | - Dongsheng Xiong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
| | - Fengjiang Liu
- Guangzhou Laboratory, Guangzhou, Guangdong, People's Republic of China.
| | - Xinwen Chen
- Guangzhou Laboratory, Guangzhou, Guangdong, People's Republic of China.
| | - Ping Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
| | - Ximo Wang
- Tianjin Haihe Hospital, Jingu Road, Tianjin, 300071, China.
| | - Tao Cheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
| | - Zihe Rao
- State Key Laboratory of Medicinal Chemical Biology and College of Life Sciences, Nankai University, 38 Tongyan Road, Tianjin, 300071, China.
- Guangzhou Laboratory, Guangzhou, Guangdong, People's Republic of China.
- CNBG-Nankai Joint Research Center, Nankai University, 94 Weijin Road, Tianjin, 300071, China.
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, 201210, P.R. China.
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8
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Yuan X, Lu Y, Yang Y, Tian W, Fan D, Liu R, Lei X, Xia Y, Yang L, Yan S, Xiong D. Systemic administration of mesenchymal stem cells loaded with a novel oncolytic adenovirus carrying a bispecific T cell engager against hepatocellular carcinoma. Oncoimmunology 2023; 12:2219544. [PMID: 37274296 PMCID: PMC10237050 DOI: 10.1080/2162402x.2023.2219544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 05/25/2023] [Accepted: 05/25/2023] [Indexed: 06/06/2023] Open
Abstract
We previously established a hepatocellular carcinoma (HCC) targeting system of conditionally replicative adenovirus (CRAd) delivered by human umbilical cord-derived mesenchymal stem cells (HUMSCs). However, this system needed to be developed further to enhance the antitumor effect and overcome the limitations caused by the alpha-fetoprotein (AFP) heterogeneity of HCC. In this study, a bispecific T cell engager (BiTE) targeting programmed death ligand 1 controlled by the human telomerase reverse transcriptase promoter was armed on the CRAd of the old system. It was demonstrated on orthotopic transplantation model mice that the new system had a better anti-tumor effect with no more damage to extrahepatic organs and less liver injury, and the infiltration and activation of T cells were significantly enhanced in the tumor tissues of the model mice treated with the new system. Importantly, we confirmed that the new system eliminated the AFP-negative cells on AFP heterogeneous tumor models efficiently. Conclusion: Compared with the old system, the new system provided a more effective and safer strategy against HCC.
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Affiliation(s)
- Xiangfei Yuan
- Tianjin Key Laboratory of Acute Abdomen Disease Associated Organ Injury and ITCWM Repair, Tianjin Medical University NanKai Hospital, Tianjin, China
| | - Yang Lu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem,Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yuanyuan Yang
- Department of Pharmacy, Tianjin Medical University General Hospital, Tianjin, China
| | - Wencong Tian
- Department of General Surgery, Tianjin Union Medical Center, Tianjin, China
| | - Dongmei Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem,Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ruoqi Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem,Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Xiaomin Lei
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem,Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yafei Xia
- Department of Pharmacy, Integrated Chinese and Western Medicine Hospital, Tianjin University, Tianjin, China
| | - Lei Yang
- Tianjin Key Laboratory of Acute Abdomen Disease Associated Organ Injury and ITCWM Repair, Tianjin Medical University NanKai Hospital, Tianjin, China
| | - Shu Yan
- Department of Pharmacy, Integrated Chinese and Western Medicine Hospital, Tianjin University, Tianjin, China
| | - Dongsheng Xiong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem,Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
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9
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Xiong D, Williams ID, Hudson MD, Osborne PE, Zapata-Restrepo LM. The impact of an annual major recreational boating event on water quality in the Solent Strait. Mar Pollut Bull 2023; 186:114450. [PMID: 36502777 DOI: 10.1016/j.marpolbul.2022.114450] [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: 07/20/2022] [Revised: 11/24/2022] [Accepted: 11/26/2022] [Indexed: 06/17/2023]
Abstract
A long-term historical analysis of the impacts of recreational boating on marine surface water quality during a regatta (Cowes Week) in an internationally crucial waterway, the Solent Strait (Hampshire, UK) is presented. Water quality indicators studied included nitrogen concentration, bacterial indicators, and oxygen saturation, at three sampling sites at/near Cowes during 2001-2019. Findings include that sewage discharge from recreational boats is the key contributor to localised faecal contamination of marine surface waters, putting bathers and shellfisheries at risk. Bathing water quality monitoring and pollution warning systems should be strengthened prior to and during this type of regatta and access to bathing water areas may need to be restricted. These findings have implications for the regulation, future monitoring and management strategies for discharges from recreational boats during extended regattas. Adequate and affordable local facilities for recovering sewage wastewater from recreational boats should be provided alongside appropriate mechanisms for communication to sailors.
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Affiliation(s)
- D Xiong
- School of Geography and Environmental Science, Faculty of Environmental and Life Sciences, University of Southampton, Highfield Campus, Southampton SO17 1BJ, United Kingdom
| | - I D Williams
- School of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Highfield Campus, Southampton SO17 1BJ, United Kingdom.
| | - M D Hudson
- School of Geography and Environmental Science, Faculty of Environmental and Life Sciences, University of Southampton, Highfield Campus, Southampton SO17 1BJ, United Kingdom
| | - P E Osborne
- School of Geography and Environmental Science, Faculty of Environmental and Life Sciences, University of Southampton, Highfield Campus, Southampton SO17 1BJ, United Kingdom
| | - L M Zapata-Restrepo
- School of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Highfield Campus, Southampton SO17 1BJ, United Kingdom
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Zheng Q, Li KL, Dai GL, Xiong D, Yao MY, Chen X, Li YM, Zhang YY, Li HR, Cao Y. [Analysis of FBN1 genemutations in a pedigree with Marfan syndrome]. Zhonghua Yi Xue Za Zhi 2022; 102:2702-2706. [PMID: 36096698 DOI: 10.3760/cma.j.cn112137-20220531-01200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Mutations in fibrillin-1 (FBN1) were detected in an autosomal dominant Marfan syndrome (MFS) pedigree. The related phenotypes and the significance of mutation screening were discussed. Complete medical and cardiovascular examinations for all pedigree members were performed. Whole exons sequencing (WES) was used to sequence the DNA of the patients and their relatives. The potential pathogenic mutation sites were screened by bioinformatics method. Sanger sequencing was used to verify the mutation sites in the pedigree. The results showed that FBN1 missense mutation was c.6806 T>C in exon 56, resulting in isoleucine being replaced by threonine (p. Ile2269Thr). This mutation has not been reported in Chinese Han population. The occurrence of the mutations strongly correlated with the phenotypes of the patients. The results expand the mutation spectrum of FBN1, and it is helpful to further explore the molecular pathogenesis of MFS and MFS related diseases.
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Affiliation(s)
- Q Zheng
- Department of Cardiovascular Surgery, the Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Yunnan Key Laboratory of Innovative Application of Traditional Chinese Medicine, Kunming 650032, China
| | - K L Li
- Department of Cardiovascular Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming 650000, China
| | - G L Dai
- Department of Cardiovascular Surgery, the Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Yunnan Key Laboratory of Innovative Application of Traditional Chinese Medicine, Kunming 650032, China
| | - D Xiong
- Department of Cardiovascular Surgery, the Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Yunnan Key Laboratory of Innovative Application of Traditional Chinese Medicine, Kunming 650032, China
| | - M Y Yao
- Department of Cardiovascular Surgery, the Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Yunnan Key Laboratory of Innovative Application of Traditional Chinese Medicine, Kunming 650032, China
| | - X Chen
- Department of Cardiovascular Surgery, the Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Yunnan Key Laboratory of Innovative Application of Traditional Chinese Medicine, Kunming 650032, China
| | - Y M Li
- Department of Cardiovascular Surgery, the Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Yunnan Key Laboratory of Innovative Application of Traditional Chinese Medicine, Kunming 650032, China
| | - Y Y Zhang
- Department of Cardiovascular Surgery, the Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Yunnan Key Laboratory of Innovative Application of Traditional Chinese Medicine, Kunming 650032, China
| | - H R Li
- Department of Cardiovascular Surgery, the Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Yunnan Key Laboratory of Innovative Application of Traditional Chinese Medicine, Kunming 650032, China
| | - Y Cao
- Department of Cardiovascular Surgery, the Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Yunnan Key Laboratory of Innovative Application of Traditional Chinese Medicine, Kunming 650032, China
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11
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Huang J, Ke P, Chen X, Li S, Zhou J, Xiong D, Huang Y, Li H, Ning Y, Duan X, Li X, Zhang W, Wu F, Wu K. Multimodal Magnetic Resonance Imaging Reveals Aberrant Brain Age Trajectory During Youth in Schizophrenia Patients. Front Aging Neurosci 2022; 14:823502. [PMID: 35309897 PMCID: PMC8929292 DOI: 10.3389/fnagi.2022.823502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 01/18/2022] [Indexed: 11/13/2022] Open
Abstract
Accelerated brain aging had been widely reported in patients with schizophrenia (SZ). However, brain aging trajectories in SZ patients have not been well-documented using three-modal magnetic resonance imaging (MRI) data. In this study, 138 schizophrenia patients and 205 normal controls aged 20–60 were included and multimodal MRI data were acquired for each individual, including structural MRI, resting state-functional MRI and diffusion tensor imaging. The brain age of each participant was estimated by features extracted from multimodal MRI data using linear multiple regression. The correlation between the brain age gap and chronological age in SZ patients was best fitted by a positive quadratic curve with a peak chronological age of 47.33 years. We used the peak to divide the subjects into a youth group and a middle age group. In the normal controls, brain age matched chronological age well for both the youth and middle age groups, but this was not the case for schizophrenia patients. More importantly, schizophrenia patients exhibited increased brain age in the youth group but not in the middle age group. In this study, we aimed to investigate brain aging trajectories in SZ patients using multimodal MRI data and revealed an aberrant brain age trajectory in young schizophrenia patients, providing new insights into the pathophysiological mechanisms of schizophrenia.
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Affiliation(s)
- Jiayuan Huang
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, China
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China
| | - Pengfei Ke
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, China
| | - Xiaoyi Chen
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, China
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China
| | - Shijia Li
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, China
| | - Jing Zhou
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, China
| | - Dongsheng Xiong
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, China
| | - Yuanyuan Huang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Hehua Li
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Yuping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Xujun Duan
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States
| | - Wensheng Zhang
- Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Fengchun Wu
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, China
- *Correspondence: Fengchun Wu,
| | - Kai Wu
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China
- Guangdong Province Key Laboratory of Biomedical Engineering, South China University of Technology, Guangzhou, China
- Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China
- Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Guangzhou, China
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Kai Wu,
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12
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Xiong M, Liu R, Lei X, Fan D, Lin F, Hao W, Yuan X, Yang Y, Zhang X, Ye Z, Lu Y, Zhang Y, Wang J, Xiong D. A Novel CD3/BCMA Bispecific T-cell Redirecting Antibody for the Treatment of Multiple Myeloma. J Immunother 2022; 45:78-88. [PMID: 34711791 DOI: 10.1097/cji.0000000000000401] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 07/07/2021] [Accepted: 09/09/2021] [Indexed: 11/26/2022]
Abstract
Multiple myeloma (MM) is a B-cell malignancy for which new treatments are urgently needed. Redirecting the activity of T cells by bispecific antibodies against tumor cells is a potent approach. The B-cell maturation antigen (BCMA) is a highly plasma cell-selective protein and therefore is an ideal therapeutic target for T-cell redirecting therapies. The main objective of this work is to target the BCMA by generating BCMA-specific murine monoclonal antibody and construct a cluster of differentiation 3 (CD3)/BCMA-directed tandem diabodies (Tandab). In brief, using standard hybridoma technology, we developed a novel BCMA-specific monoclonal antibody (clone 69G8), that specifically bind with BCMA+ cell lines and MM patient sample; whereas BCMA- cells were not recognized. For T cells by bispecific antibodies application, we constructed a Tandab (CD3/BCMA) simultaneously targeting both CD3 and BCMA and our studies demonstrated that Tandab (CD3/BCMA) was functional with specific binding capability both for CD3+ cells and BCMA+ cells. It induced selective, dose-dependent lysis of BCMA+ cell lines, activation of T cells, release of cytokines and T-cell proliferation; whereas BCMA- cells were not affected. Furthermore, we demonstrated that Tandab activity correlates with BCMA expression, with higher potency observed in highly BCMA expressing tumor cells. In vivo, the purified Tandab (CD3/BCMA) significantly inhibited the tumor growth in a subcutaneous NCI-H929 xenograft model. Taken together, these results show that the Tandab (CD3/BCMA) displays potent and selective anti-MM activities and represents a promising immunotherapeutic for the treatment of MM.
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Affiliation(s)
- Mengshang Xiong
- Tianjin Key Laboratory of Blood Disease Cell Therapy, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Ruoqi Liu
- Tianjin Key Laboratory of Blood Disease Cell Therapy, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Xiaomin Lei
- Tianjin Key Laboratory of Blood Disease Cell Therapy, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Dongmei Fan
- Tianjin Key Laboratory of Blood Disease Cell Therapy, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Fangzhen Lin
- Tianjin Key Laboratory of Blood Disease Cell Therapy, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Wei Hao
- Tianjin Key Laboratory of Blood Disease Cell Therapy, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Xiangfei Yuan
- Tianjin Institute of Integrative Medicine for Acute Abdominal Diseases, Tianjin Nankai Hospital
| | - Yuanyuan Yang
- Department of Pharmacy, Tianjin Medical University General Hospital
| | - Xiaolong Zhang
- Key Laboratory of Cancer Prevention and Therapy,National Clinical Research Center of Cancer,Tianjin's Clinical Research Center for cancer, Department of Pharmacy, Tianjin Medical University Cancer Institute and Hospital, Tianjin
| | - Zhou Ye
- Central Hospital of Karamay, Karamay, Xinjiang, China
| | - Yang Lu
- Tianjin Key Laboratory of Blood Disease Cell Therapy, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Yanjun Zhang
- Tianjin Key Laboratory of Blood Disease Cell Therapy, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Jianxiang Wang
- Tianjin Key Laboratory of Blood Disease Cell Therapy, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Dongsheng Xiong
- Tianjin Key Laboratory of Blood Disease Cell Therapy, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
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13
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Smile T, Ilori E, Varra V, Ruiz E, Murad F, Wei W, Xiong D, Vidimos A, Poblete-Lopez C, Lucas J, Meine J, Gastman B, Geiger J, Schmults C, Koyfman S. Predictors of Recurrence and Survival in High-Stage Primary Cutaneous Squamous Cell Carcinoma: A Recursive Partitioning Analysis. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1197] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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14
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Zang J, Huang Y, Kong L, Lei B, Ke P, Li H, Zhou J, Xiong D, Li G, Chen J, Li X, Xiang Z, Ning Y, Wu F, Wu K. Effects of Brain Atlases and Machine Learning Methods on the Discrimination of Schizophrenia Patients: A Multimodal MRI Study. Front Neurosci 2021; 15:697168. [PMID: 34385901 PMCID: PMC8353157 DOI: 10.3389/fnins.2021.697168] [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] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 07/07/2021] [Indexed: 11/24/2022] Open
Abstract
Recently, machine learning techniques have been widely applied in discriminative studies of schizophrenia (SZ) patients with multimodal magnetic resonance imaging (MRI); however, the effects of brain atlases and machine learning methods remain largely unknown. In this study, we collected MRI data for 61 first-episode SZ patients (FESZ), 79 chronic SZ patients (CSZ) and 205 normal controls (NC) and calculated 4 MRI measurements, including regional gray matter volume (GMV), regional homogeneity (ReHo), amplitude of low-frequency fluctuation and degree centrality. We systematically analyzed the performance of two classifications (SZ vs NC; FESZ vs CSZ) based on the combinations of three brain atlases, five classifiers, two cross validation methods and 3 dimensionality reduction algorithms. Our results showed that the groupwise whole-brain atlas with 268 ROIs outperformed the other two brain atlases. In addition, the leave-one-out cross validation was the best cross validation method to select the best hyperparameter set, but the classification performances by different classifiers and dimensionality reduction algorithms were quite similar. Importantly, the contributions of input features to both classifications were higher with the GMV and ReHo features of brain regions in the prefrontal and temporal gyri. Furthermore, an ensemble learning method was performed to establish an integrated model, in which classification performance was improved. Taken together, these findings indicated the effects of these factors in constructing effective classifiers for psychiatric diseases and showed that the integrated model has the potential to improve the clinical diagnosis and treatment evaluation of SZ.
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Affiliation(s)
- Jinyu Zang
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.,National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China
| | - Yuanyuan Huang
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.,The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, China
| | - Lingyin Kong
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.,National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China
| | - Bingye Lei
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.,National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China
| | - Pengfei Ke
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.,National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China
| | - Hehua Li
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, China
| | - Jing Zhou
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.,National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China
| | - Dongsheng Xiong
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.,National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China
| | - Guixiang Li
- Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China.,National Engineering Research Center for Healthcare Devices, Guangzhou, China
| | - Jun Chen
- Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China.,National Engineering Research Center for Healthcare Devices, Guangzhou, China
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States
| | - Zhiming Xiang
- Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China.,Department of Radiology, Panyu Central Hospital of Guangzhou, Guangzhou, China
| | - Yuping Ning
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.,The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, China
| | - Fengchun Wu
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, China
| | - Kai Wu
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.,National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China.,The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, China.,Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China.,National Engineering Research Center for Healthcare Devices, Guangzhou, China.,Key Laboratory of Biomedical Engineering of Guangdong Province, South China University of Technology, Guangzhou, China.,Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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15
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Lei B, Wu F, Zhou J, Xiong D, Wang K, Kong L, Ke P, Chen J, Ning Y, Li X, Xiang Z, Wu K. NEURO-LEARN: a Solution for Collaborative Pattern Analysis of Neuroimaging Data. Neuroinformatics 2021; 19:79-91. [PMID: 32524429 DOI: 10.1007/s12021-020-09468-6] [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] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The development of neuroimaging instrumentation has boosted neuroscience researches. Consequently, both the fineness and the cost of data acquisition have profoundly increased, leading to the main bottleneck of this field: limited sample size and high dimensionality of neuroimaging data. Therefore, the emphasis of ideas of data pooling and research collaboration has increased over the past decade. Collaborative analysis techniques emerge as the idea developed. In this paper, we present NEURO-LEARN, a solution for collaborative pattern analysis of neuroimaging data. Its collaboration scheme consists of four parts: projects, data, analysis, and reports. While data preparation workflows defined in projects reduce the high dimensionality of neuroimaging data by collaborative computation, pooling of derived data and sharing of pattern analysis workflows along with generated reports on the Web enlarge the sample size and ensure the reliability and reproducibility of pattern analysis. Incorporating this scheme, NEURO-LEARN provides an easy-to-use Web application that allows users from different sites to share projects and processed data, perform pattern analysis, and obtain result reports. We anticipate that this solution will help neuroscientists to enlarge sample size, conquer the curse of dimensionality and conduct reproducible studies on neuroimaging data with efficiency and validity.
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Affiliation(s)
- Bingye Lei
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, 510006, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, 510006, China
| | - Fengchun Wu
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, 510370, China
| | - Jing Zhou
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, 510006, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China
| | - Dongsheng Xiong
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, 510006, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China
| | - Kaixi Wang
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, 510006, China
| | - Lingyin Kong
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, 510006, China
| | - Pengfei Ke
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, 510006, China
| | - Jun Chen
- Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, 510500, China
- National Engineering Research Center for Healthcare Devices, Guangzhou, 510500, China
| | - Yuping Ning
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, 510370, China
| | - Xiaobo Li
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
| | - Zhiming Xiang
- Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, 510500, China
- Department of Radiology, Panyu Central Hospital of Guangzhou, Guangzhou, 511400, China
| | - Kai Wu
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, 510006, China.
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China.
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, 510370, China.
- Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, 510500, China.
- National Engineering Research Center for Healthcare Devices, Guangzhou, 510500, China.
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, 510006, China.
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, 980-8575, Japan.
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16
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Lin F, Xiong M, Hao W, Song Y, Liu R, Yang Y, Yuan X, Fan D, Zhang Y, Hao M, Ye Z, Lu Y, Zhang Y, Wang J, Xiong D. A Novel Blockade CD47 Antibody With Therapeutic Potential for Cancer. Front Oncol 2021; 10:615534. [PMID: 33469516 PMCID: PMC7813985 DOI: 10.3389/fonc.2020.615534] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [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: 10/16/2020] [Accepted: 11/12/2020] [Indexed: 01/01/2023] Open
Abstract
Macrophages as components of the innate immune system play a critical role in antitumor responses. Strategies for targeting CD47 are becoming a hot spot for cancer therapy. The expression of CD47 is exercised by macrophages to make a distinction between “self” or “nonself.” Anti-CD47 antibodies block the interaction between macrophage signal regulatory protein-α (SIRPα) and tumor surface CD47. In this study, we report and assess a novel anti-CD47 blocking antibody named 2C8, which exhibits high affinity and tremendous anticancer effects. More concretely, 2C8 significantly induces macrophages, including protumorigenic subtype M2 macrophages killing tumor cells in vitro, and is revealed to be more effective than commercially available anti-CD47 mAb B6H12.2. In vivo, 2C8 controls tumor growth and extends survival of xenograft mice. The antitumor ability of 2C8 might be applicable to many other cancers. The generation of a novel CD47 antibody contributes to consolidating clinical interest in targeting macrophages for the treatment of malignancy and, moreover, as a supplement therapy when patients are resistant or refractory to other checkpoint therapies or relapse after such treatments.
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Affiliation(s)
- Fangzhen Lin
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Mengshang Xiong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Wei Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yuewen Song
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ruoqi Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yuanyuan Yang
- Department of Pharmacy, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiangfei Yuan
- Tianjin Institute of Integrative Medicine for Acute Abdominal Diseases, Tianjin Nankai Hospital, Tianjin, China
| | - Dongmei Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yizi Zhang
- Central Hospital of Karamay, Karamay, Xinjiang, China
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Zhou Ye
- Central Hospital of Karamay, Karamay, Xinjiang, China
| | - Yang Lu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yanjun Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Jianxiang Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Dongsheng Xiong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
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17
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Gong Y, Li-Ling J, Xiong D, Wei J, Zhong T, Tan H. Age-related decline in the expression of GDF9 and BMP15 genes in follicle fluid and granulosa cells derived from poor ovarian responders. J Ovarian Res 2021; 14:1. [PMID: 33397408 PMCID: PMC7780377 DOI: 10.1186/s13048-020-00757-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [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: 05/14/2020] [Accepted: 12/17/2020] [Indexed: 02/08/2023] Open
Abstract
Background Growth differentiation factor 9 (GDF9) and bone morphogenetic protein 15 (BMP15) genes play important roles in folliculogenesis. Altered expression of the two have been found among patients with poor ovarian response (POR). In this prospective cohort study, we have determined the expression of the GDF9 and BMP15 genes in follicle fluid (FF) and granulosa cells (GCs) derived from poor ovarian responders grouped by age, and explored its correlation with the outcome of in vitro fertilization and embryo transfer (IVF-ET) treatment. Methods A total of 196 patients with POR were enrolled from a tertiary teaching hospital. The patients were diagnosed by the Bologna criteria and sub-divided into group A (< 35 year old), group B (35–40 year old), and group C (> 40 year old). A GnRH antagonist protocol was conducted for all patients, and FF and GCs were collected after oocyte retrieval. Expression of the GDF9 and BMP15 genes in the FF and GCs was determined with enzyme-linked immunosorbent assay (ELISA), quantitative real-time polymerase chain reaction (qRT-PCR) and Western blotting. Results Compared with group C, groups A and B had significantly more two pronuclei (2PN) oocytes and transplantable embryos, in addition with higher rates of implantation and clinical pregnancy (P < 0.05). The expression level of GDF9 and BMP15 genes in the FF and GCs differed significantly among the three groups (P < 0.05), showing a trend of decline along with age. The ratio of GDF9/BMP15 mRNA levels were similar among the three groups (P > 0.05). The relative levels of GDF9 and BMP15 proteins in GCs have correlated with the relative mRNA levels in GCs and protein concentrations in FF (P < 0.05). Conclusions For poor ovarian responders, in particular those over 40, the expression of GDF9 and BMP15 is declined along with increased age and in accompany with poorer oocyte quality and IVF outcome, whilst the ratio of GDF9/BMP15 mRNA levels remained relatively constant. Trial registration Chinese Clinical Trial Registry Center (ChiCTR1800016107). Registered on 11 May 2018.
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Affiliation(s)
- Yan Gong
- Reproductive Medicine Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, 290 Shayan West Second Street, Wuhou District, Chengdu, 610045, Sichuan, China.
| | - Jesse Li-Ling
- State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 37 Guoxuexiang, Wuhou District, Chengdu, 610041, Sichuan, China.
| | - Dongsheng Xiong
- Reproductive Medicine Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, 290 Shayan West Second Street, Wuhou District, Chengdu, 610045, Sichuan, China
| | - Jiajing Wei
- Reproductive Medicine Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, 290 Shayan West Second Street, Wuhou District, Chengdu, 610045, Sichuan, China
| | - Taiqing Zhong
- Laboratory Medicine Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, 610045, Sichuan, China
| | - Hao Tan
- Department of Genetics, School of Bioscience and Technology, Chengdu Medical College, Chengdu, 610500, Sichuan, China
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18
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Fleming C, Parikh R, Faruqi A, Contrera K, Xiong D, Rybicki L, Woody N, Joshi N, Greskovich J, Chute D, Ku J, Prendes B, Lamarre E, Lorenz R, Scharpf J, Burkey B, Schwartzman L, Geiger J, Adelstein D, Koyfman S. A Comparison Of Prognostic Factors For Survival After Distant Metastasis In HPV+ And HPV- Head And Neck Cancers. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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19
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Huang Y, Wu K, Li H, Zhou J, Xiong D, Huang X, Li J, Liu Y, Pan Z, Mitchell DT, Wu F, Zhang XY. Homocysteine level, body mass index and clinical correlates in Chinese Han patients with schizophrenia. Sci Rep 2020; 10:16119. [PMID: 32999343 PMCID: PMC7527556 DOI: 10.1038/s41598-020-72934-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 08/19/2020] [Indexed: 12/12/2022] Open
Abstract
Obesity is common comorbidity in patients with schizophrenia. Previous studies have reported that homocysteine (Hcy) is increased in schizophrenia. However, no study has reported the association between BMI and Hcy levels in schizophrenia. This cross-sectional naturalistic study aimed to evaluate the relationship between BMI, Hcy and clinical symptoms in Chinese Han patients with chronic schizophrenia. Clinical and anthropometric data as well as plasma Hcy level and glycolipid parameters were collected. Psychopathology was measured with the Positive and Negative Syndrome Scale (PANSS). Our results showed that compared with the low BMI group, the high BMI group had a higher PANSS general psychopathology subscore, higher levels of blood glucose, total cholesterol and high-density lipoprotein (HDL) cholesterol (all p < 0.05). Hcy levels were negatively associated with BMI in patients (p < 0.001). Hcy level, the PANSS general psychopathology subscale, total cholesterol and education (all p < 0.05) were the influencing factors of high BMI. Our study suggest that Hcy level may be associated with BMI in patients with schizophrenia. Moreover, patients with high BMI show more severe clinical symptoms and higher glucose and lipid levels.
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Affiliation(s)
- Yuanyuan Huang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China
| | - Kai Wu
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology(SCUT), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.,Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China.,National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China.,Key Laboratory of Biomedical Engineering of Guangdong Province, South China University of Technology, Guangzhou, China.,Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Hehua Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China
| | - Jing Zhou
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology(SCUT), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Dongsheng Xiong
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology(SCUT), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Xia Huang
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology(SCUT), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Jiahui Li
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology(SCUT), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Ya Liu
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology(SCUT), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Zhilin Pan
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology(SCUT), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - David T Mitchell
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center At Houston, Houston, TX, USA
| | - Fengchun Wu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China. .,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.
| | - Xiang Yang Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), 36 Mingxin Rd, Liwan District, Guangzhou, 510370, China. .,CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Rd, Chaoyang District, Beijing, 100101, China.
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20
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Gong Y, Zhang K, Xiong D, Wei J, Tan H, Qin S. Growth hormone alleviates oxidative stress and improves the IVF outcomes of poor ovarian responders: a randomized controlled trial. Reprod Biol Endocrinol 2020; 18:91. [PMID: 32891163 PMCID: PMC7487463 DOI: 10.1186/s12958-020-00648-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 08/27/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Oxidative stress (OS), defined as an imbalance between excessive reactive oxygen species (ROS) and/or reactive nitrogen species (RNS) production and antioxidant insufficiency, has been suggested to be involved in the pathogenesis of poor ovarian response (POR). Growth hormone (GH) can reduce OS in some cell types. This study investigated whether GH can improve OS and the in vitro fertilization and embryo transfer (IVF-ET) outcomes of poor ovarian responders. METHODS This study enrolled 105 patients with POR and 58 patients without POR (controls) who were diagnosed according to the Bologna criteria and underwent conventional IVF-ET. Poor ovarian responders were randomly assigned to two groups: the POR-GH group, which received pretreatment with GH 4 IU/d on day 2 of the previous menstrual cycle before IVF until the trigger day, and the POR-C group, which received no pretreatment. OS markers in follicular fluid (FF), ROS levels in granulosa cells (GCs), and the IVF outcomes of the groups were compared. RESULTS Endometrial thickness on trigger day, the number of cleaved embryos, the number of higher-quality embryos, and the rates of embryo formation, higher-quality embryo formation, implantation and clinical pregnancy were significantly increased in the POR-GH group compared with the POR-C group (P < 0.05). Moreover, compared to those in the non-POR group, FF malondialdehyde (MDA), total oxidant status (TOS), oxidative stress index (OSI) and ROS levels in GCs were significantly higher, whereas superoxide dismutase (SOD) and the total antioxidant capacity (TAC) were significantly lower in the POR-C group (P < 0.05). Furthermore, compared with those in the POR-C group, the FF TAC was significantly increased in the POR-GH group, and TOS, OSI and intracellular ROS levels were significantly reduced (P < 0.05). CONCLUSIONS Pretreatment with GH alleviates OS and improves oocyte quality and IVF outcomes of poor ovarian responders. TRIAL REGISTRATION Chinese Clinical Trial Registry. ChiCTR1900021269 . Registered 8 February 2019, http://www.chictr.org.cn/edit.aspx?pid=35837&htm=4 .
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Affiliation(s)
- Yan Gong
- Reproductive Medicine Centre, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and children's Hospital of Chengdu Medical College, #290 Shayan West Second Street, Wuhou District, Chengdu, Sichuan, People's Republic of China.
| | - Kun Zhang
- Department of Genetics, School of Bioscience and Technology, Chengdu Medical College, #783 Xindu Avenue, Xindu District, Chengdu, Sichuan, 610500, People's Republic of China.
| | - Dongsheng Xiong
- Reproductive Medicine Centre, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and children's Hospital of Chengdu Medical College, #290 Shayan West Second Street, Wuhou District, Chengdu, Sichuan, People's Republic of China
| | - Jiajing Wei
- Reproductive Medicine Centre, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and children's Hospital of Chengdu Medical College, #290 Shayan West Second Street, Wuhou District, Chengdu, Sichuan, People's Republic of China
| | - Hao Tan
- Department of Genetics, School of Bioscience and Technology, Chengdu Medical College, #783 Xindu Avenue, Xindu District, Chengdu, Sichuan, 610500, People's Republic of China
| | - Shengfang Qin
- Department of Medical Genetics and Prenatal Diagnosis, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and children's Hospital of Chengdu Medical College, Chengdu, Sichuan, People's Republic of China
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Tang N, Bai H, Xiong D, Sun Z. Specific coagulation markers may provide more therapeutic targets in COVID-19 patients receiving prophylactic anticoagulant. J Thromb Haemost 2020; 18:2428-2430. [PMID: 32619329 PMCID: PMC7362132 DOI: 10.1111/jth.14988] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Accepted: 06/25/2020] [Indexed: 01/16/2023]
Affiliation(s)
- Ning Tang
- Department of Clinical Laboratory, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huan Bai
- Department of Clinical Laboratory, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dongsheng Xiong
- Department of Clinical Laboratory, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziyong Sun
- Department of Clinical Laboratory, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Li S, Zhuo M, Huang X, Huang Y, Zhou J, Xiong D, Li J, Liu Y, Pan Z, Li H, Chen J, Li X, Xiang Z, Wu F, Wu K. Altered gut microbiota associated with symptom severity in schizophrenia. PeerJ 2020; 8:e9574. [PMID: 32821537 PMCID: PMC7395597 DOI: 10.7717/peerj.9574] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 06/29/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The gut microbiome and microbiome-gut-brain (MGB) axis have been receiving increasing attention for their role in the regulation of mental behavior and possible biological basis of psychiatric disorders. With the advance of next-generation sequencing technology, characterization of the gut microbiota in schizophrenia (SZ) patients can provide rich clues for the diagnosis and prevention of SZ. METHODS In this study, we compared the differences in the fecal microbiota between 82 SZ patients and 80 demographically matched normal controls (NCs) by 16S rRNA sequencing and analyzed the correlations between altered gut microbiota and symptom severity. RESULTS The alpha diversity showed no significant differences between the NC and SZ groups, but the beta diversity revealed significant community-level separation in microbiome composition between the two groups (pseudo-F =3.337, p < 0.001, uncorrected). At the phylum level, relatively more Actinobacteria and less Firmicutes (p < 0.05, FDR corrected) were found in the SZ group. At the genus level, the relative abundances of Collinsella, Lactobacillus, Succinivibrio, Mogibacterium, Corynebacterium, undefined Ruminococcus and undefined Eubacterium were significantly increased, whereas the abundances of Adlercreutzia, Anaerostipes, Ruminococcus and Faecalibacterium were decreased in the SZ group compared to the NC group (p < 0.05, FDR corrected). We performed PICRUSt analysis and found that several metabolic pathways differed significantly between the two groups, including the Polyketide sugar unit biosynthesis, Valine, Leucine and Isoleucine biosynthesis, Pantothenate and CoA biosynthesis, C5-Branched dibasic acid metabolism, Phenylpropanoid biosynthesis, Ascorbate and aldarate metabolism, Nucleotide metabolism and Propanoate metabolism pathways (p < 0.05, FDR corrected). Among the SZ group, the abundance of Succinivibrio was positively correlated with the total Positive and Negative Syndrome Scale (PANSS) scores (r = 0.24, p < 0.05, uncorrected) as well as the general PANSS scores (r = 0.22, p < 0.05, uncorrected); Corynebacterium was negatively related to the negative scores of PANSS (r = 0.22, p < 0.05, uncorrected). CONCLUSIONS Our findings provided evidence of altered gut microbial composition in SZ group. In addition, we found that Succinvibrio and Corynebacterium were associated with the severity of symptoms for the first time, which may provide some new biomarkers for the diagnosis of SZ.
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Affiliation(s)
- Shijia Li
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong, China
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, Guangdong, China
| | - Min Zhuo
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, Guangdong, China
| | - Xia Huang
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, Guangdong, China
| | - Yuanyuan Huang
- The Affifiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, Guangdong, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, Guangdong, China
| | - Jing Zhou
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, Guangdong, China
| | - Dongsheng Xiong
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, Guangdong, China
| | - Jiahui Li
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, Guangdong, China
| | - Ya Liu
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, Guangdong, China
| | - Zhilin Pan
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, Guangdong, China
| | - Hehua Li
- The Affifiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, Guangdong, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, Guangdong, China
| | - Jun Chen
- Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, Guangdong, China
| | - Xiaobo Li
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, Guangdong, China
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NY, United States
| | - Zhiming Xiang
- Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, Guangdong, China
- Department of Radiology, Panyu Central Hospital of Guangzhou, Guangzhou, Guangdong, China
| | - Fengchun Wu
- The Affifiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, Guangdong, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, Guangdong, China
| | - Kai Wu
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China
- The Affifiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, Guangdong, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, Guangdong, China
- Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, Guangdong, China
- Key Laboratory of Biomedical Engineering of Guangdong Province, South China University of Technology, Guangzhou, Guangdong, China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, Guangdong, China
- Department of Nuclear Medicine and Radiology/Institute of Development/Aging and Cancer, Tohoku University, Sendai, Japan
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Du X, Li J, Xiong D, Pan Z, Wu F, Ning Y, Chen J, Wu K. [Research on electroencephalogram specifics in patients with schizophrenia under cognitive load]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi 2020; 37:45-53. [PMID: 32096376 DOI: 10.7507/1001-5515.201810007] [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: 11/03/2022]
Abstract
Cognitive impairment is one of the three primary symptoms of schizophrenic patients and shows important value in early detection and warning for high-risk individuals. To study the specifics of electroencephalogram (EEG) in patients with schizophrenia under the cognitive load, we collected EEG signals from 17 schizophrenic patients and 19 healthy controls, extracted signals of each band based on wavelet transform, calculated the characteristics of nonlinear dynamic and functional brain networks, and automatically classified the two groups of people by using a machine learning algorithm. Experimental results indicated that the correlation dimension and sample entropy showed significant differences in α, β, θ, and γ rhythm of the Fp1 and Fp2 electrodes between groups under the cognitive load. These results implied that the functional disruptions in the frontal lobe might be the important factors of cognitive impairments in schizophrenic patients. Further results of the automatic classification analysis indicated that the combination of nonlinear dynamics and functional brain network properties as the input characteristics of the classifier showed the best performance, with the accuracy of 76.77%, sensitivity of 72.09%, and specificity of 80.36%. The results of this study demonstrated that the combination of nonlinear dynamics and function brain network properties may be potential biomarkers for early screening and auxiliary diagnosis of schizophrenia.
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Affiliation(s)
- Xin Du
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou 510006, P.R.China;Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, P.R.China
| | - Jiahui Li
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou 510006, P.R.China;Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, P.R.China
| | - Dongsheng Xiong
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou 510006, P.R.China;Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, P.R.China
| | - Zhilin Pan
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou 510006, P.R.China;Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, P.R.China
| | - Fengchun Wu
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, P.R.China;Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, P.R.China
| | - Yuping Ning
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, P.R.China;Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, P.R.China
| | - Jun Chen
- Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou 510500, P.R.China;National Engineering Research Center for Healthcare Devices, Guangzhou 510500, P.R.China
| | - Kai Wu
- Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou 510006, P.R.China;Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, P.R.China;Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, P.R.China;Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou 510500, P.R.China;National Engineering Research Center for Healthcare Devices, Guangzhou 510500, P.R.China
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Wang Y, Hays RD, Marcus M, Maida CA, Shen J, Xiong D, Coulter ID, Lee SY, Spolsky VW, Crall JJ, Liu H. Developing Children's Oral Health Assessment Toolkits Using Machine Learning Algorithm. JDR Clin Trans Res 2019; 5:233-243. [PMID: 31710817 DOI: 10.1177/2380084419885612] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES Evaluating children's oral health status and treatment needs is challenging. We aim to build oral health assessment toolkits to predict Children's Oral Health Status Index (COHSI) score and referral for treatment needs (RFTN) of oral health. Parent and Child toolkits consist of short-form survey items (12 for children and 8 for parents) with and without children's demographic information (7 questions) to predict the child's oral health status and need for treatment. METHODS Data were collected from 12 dental practices in Los Angeles County from 2015 to 2016. We predicted COHSI score and RFTN using random Bootstrap samples with manually introduced Gaussian noise together with machine learning algorithms, such as Extreme Gradient Boosting and Naive Bayesian algorithms (using R). The toolkits predicted the probability of treatment needs and the COHSI score with percentile (ranking). The performance of the toolkits was evaluated internally and externally by residual mean square error (RMSE), correlation, sensitivity and specificity. RESULTS The toolkits were developed based on survey responses from 545 families with children aged 2 to 17 y. The sensitivity and specificity for predicting RFTN were 93% and 49% respectively with the external data. The correlation(s) between predicted and clinically determined COHSI was 0.88 (and 0.91 for its percentile). The RMSEs of the COHSI toolkit were 4.2 for COHSI (and 1.3 for its percentile). CONCLUSIONS Survey responses from children and their parents/guardians are predictive for clinical outcomes. The toolkits can be used by oral health programs at baseline among school populations. The toolkits can also be used to quantify differences between pre- and post-dental care program implementation. The toolkits' predicted oral health scores can be used to stratify samples in oral health research. KNOWLEDGE TRANSFER STATEMENT This study creates the oral health toolkits that combine self- and proxy- reported short forms with children's demographic characteristics to predict children's oral health and treatment needs using Machine Learning algorithms. The toolkits can be used by oral health programs at baseline among school populations to quantify differences between pre and post dental care program implementation. The toolkits can also be used to stratify samples according to the treatment needs and oral health status.
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Affiliation(s)
- Y Wang
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA.,Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.,Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - R D Hays
- Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles, CA, USA.,Department of Medicine, Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.,RAND Corporation, Santa Monica, CA, USA
| | - M Marcus
- Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA
| | - C A Maida
- Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.,Division of Oral Biology and Medicine, School of Dentistry, University of California, Los Angeles, CA, USA
| | - J Shen
- Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA
| | - D Xiong
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA.,Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA
| | - I D Coulter
- Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.,RAND Corporation, Santa Monica, CA, USA
| | - S Y Lee
- Division of Constitutive & Regenerative Sciences, Section of Restorative Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA
| | - V W Spolsky
- Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA
| | - J J Crall
- Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA
| | - H Liu
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA.,Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.,Department of Medicine, Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
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Zhou Y, Zhou Y, Kang X, Meng C, Zhang R, Guo Y, Xiong D, Song L, Jiao X, Pan Z. Molecular cloning and functional characterisation of duck ( Anas platyrhynchos) tumour necrosis factor receptor-associated factor 3. Br Poult Sci 2019; 60:357-365. [PMID: 31046421 DOI: 10.1080/00071668.2019.1614528] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
1. Tumour necrosis factor receptor-associated factor 3 (TRAF3) is a key regulator of innate immunity and acquired immunity, and has a salient anti-viral role. 2. In this experiment, the duck TRAF3 (DuTRAF3) gene was cloned according to the Anas platyrhynchos TRAF3 sequence to explore its function. The TRAF3 open reading frame contains 1704 bp that encode a protein of 567 amino acids, which contain a RING finger domain, two zinc finger motifs, a coiled-coil region, and a MATH domain. 3. Reverse transcription-polymerase chain reaction showed that DuTRAF3 was expressed in all the examined tissues, with a comparatively higher expression in the spleen and brain tissues. 4. In HEK293T cells, DuTRAF3 overexpression resulted in a significantly increased NF-κB activity and interferon (IFN)-β promoter activation. 5. Following resiquimod (R848) and poly(I:C) stimulation of duck peripheral blood mononuclear cells (PBMCs), the expressions of TRAF3 and IFN-β were significantly upregulated; in addition, following R848 stimulation, the mRNA levels of IL-6, IL-8 and IL-10 were also significantly upregulated. After infection with the Newcastle Disease Virus LaSota vaccine strain, the mRNA levels of IL-6 and IL-10 were significantly upregulated, while that of TRAF3 was downregulated. 6. These results suggest that DuTRAF3 has an important role to play in innate antiviral immune responses.
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Affiliation(s)
- Y Zhou
- a Jiangsu Key Laboratory of Zoonosis , Yangzhou University , Yangzhou , Jiangsu , China.,b Jiangsu Co-innovation Centre for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses , Yangzhou University , Yangzhou , Jiangsu , China.,c Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs , Yangzhou University , Yangzhou , Jiangsu , China.,d Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education , Yangzhou University , Yangzhou , Jiangsu , China
| | - Y Zhou
- a Jiangsu Key Laboratory of Zoonosis , Yangzhou University , Yangzhou , Jiangsu , China.,b Jiangsu Co-innovation Centre for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses , Yangzhou University , Yangzhou , Jiangsu , China.,c Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs , Yangzhou University , Yangzhou , Jiangsu , China.,d Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education , Yangzhou University , Yangzhou , Jiangsu , China
| | - X Kang
- a Jiangsu Key Laboratory of Zoonosis , Yangzhou University , Yangzhou , Jiangsu , China.,b Jiangsu Co-innovation Centre for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses , Yangzhou University , Yangzhou , Jiangsu , China.,c Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs , Yangzhou University , Yangzhou , Jiangsu , China.,d Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education , Yangzhou University , Yangzhou , Jiangsu , China
| | - C Meng
- a Jiangsu Key Laboratory of Zoonosis , Yangzhou University , Yangzhou , Jiangsu , China.,b Jiangsu Co-innovation Centre for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses , Yangzhou University , Yangzhou , Jiangsu , China.,c Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs , Yangzhou University , Yangzhou , Jiangsu , China.,d Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education , Yangzhou University , Yangzhou , Jiangsu , China
| | - R Zhang
- a Jiangsu Key Laboratory of Zoonosis , Yangzhou University , Yangzhou , Jiangsu , China.,b Jiangsu Co-innovation Centre for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses , Yangzhou University , Yangzhou , Jiangsu , China.,c Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs , Yangzhou University , Yangzhou , Jiangsu , China.,d Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education , Yangzhou University , Yangzhou , Jiangsu , China
| | - Y Guo
- a Jiangsu Key Laboratory of Zoonosis , Yangzhou University , Yangzhou , Jiangsu , China.,b Jiangsu Co-innovation Centre for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses , Yangzhou University , Yangzhou , Jiangsu , China.,c Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs , Yangzhou University , Yangzhou , Jiangsu , China.,d Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education , Yangzhou University , Yangzhou , Jiangsu , China
| | - D Xiong
- a Jiangsu Key Laboratory of Zoonosis , Yangzhou University , Yangzhou , Jiangsu , China.,b Jiangsu Co-innovation Centre for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses , Yangzhou University , Yangzhou , Jiangsu , China.,c Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs , Yangzhou University , Yangzhou , Jiangsu , China.,d Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education , Yangzhou University , Yangzhou , Jiangsu , China
| | - L Song
- a Jiangsu Key Laboratory of Zoonosis , Yangzhou University , Yangzhou , Jiangsu , China.,b Jiangsu Co-innovation Centre for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses , Yangzhou University , Yangzhou , Jiangsu , China.,c Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs , Yangzhou University , Yangzhou , Jiangsu , China.,d Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education , Yangzhou University , Yangzhou , Jiangsu , China
| | - X Jiao
- a Jiangsu Key Laboratory of Zoonosis , Yangzhou University , Yangzhou , Jiangsu , China.,b Jiangsu Co-innovation Centre for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses , Yangzhou University , Yangzhou , Jiangsu , China.,c Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs , Yangzhou University , Yangzhou , Jiangsu , China.,d Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education , Yangzhou University , Yangzhou , Jiangsu , China
| | - Z Pan
- a Jiangsu Key Laboratory of Zoonosis , Yangzhou University , Yangzhou , Jiangsu , China.,b Jiangsu Co-innovation Centre for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses , Yangzhou University , Yangzhou , Jiangsu , China.,c Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs , Yangzhou University , Yangzhou , Jiangsu , China.,d Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education , Yangzhou University , Yangzhou , Jiangsu , China
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Fan D, Jiang L, Song Y, Bao S, Yang Y, Yuan X, Zhen Y, Yang M, Xiong D. An Engineered Fusion Protein Anti-CD19(Fab)-LDM Effectively Inhibits ADR-Resistant B Cell Lymphoma. Front Oncol 2019; 9:861. [PMID: 31555598 PMCID: PMC6737009 DOI: 10.3389/fonc.2019.00861] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 08/20/2019] [Indexed: 11/17/2022] Open
Abstract
The 5-year survival rate of patients with B cell lymphoma is about 50% after initial diagnosis, mainly because of resistance to chemotherapy. Hence, it is necessary to understand the mechanism of chemo-resistance and to explore novel methods to circumvent multidrug resistance. Previously, we showed that an engineered cytotoxic fusion protein anti-CD19(Fab)-LDM (lidamycin), can induce apoptosis of B-lymphoma cells. Herein, we successfully established an adriamycin (ADR)-resistant B cell lymphoma cell line BJAB/ADR. The mRNA and protein level of ATP-binding cassette subfamily B member 1 (ABCB1) were significantly overexpressed in BJAB/ADR cells. Increased efflux function of ABCB1 was observed by analyzing intracellular accumulation and efflux of Rhodamine 123. The efflux of Rhodamine 123 could be significantly ameliorated by verapamil. Treatment with anti-CD19(Fab)-LDM at different concentrations induced cytotoxic response of BJAB/ADR cells similar to that of the sensitive cells. In vivo studies showed that anti-CD19(Fab)-LDM had better antitumor effect in BJAB and BJAB/ADR cell lymphoma xenografts compared with ADR or LDM treatment alone. Taken together, anti-CD19(Fab)-LDM can effectively inhibit the growth of BJAB/ADR cells both in vitro and in vivo. Anti-CD19(Fab)-LDM could be a promising molecule for the treatment of drug resistant cancers.
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Affiliation(s)
- Dongmei Fan
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Linlin Jiang
- School of Life Sciences, Ludong University, Yantai, China
| | - Yuewen Song
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Shiqi Bao
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Yuanyuan Yang
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Xiangfei Yuan
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Yongsu Zhen
- Department of Oncology, Institute of Medicinal Biotechnology (IMB), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ming Yang
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Dongsheng Xiong
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
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Fleming C, Ward M, Woody N, Joshi N, Greskovich J, Rybicki L, Xiong D, Contrera K, Ku J, Prendes B, Lamarre E, Lorenz R, Scharpf J, Burkey B, Geiger J, Adelstein D, Koyfman S. Factors Predictive of Overall Survival in Metastatic HPV+ Oropharyngeal Cancer: A Multi-Institutional Study. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.1525] [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]
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Broughman J, Xiong D, Miller K, Contrera K, Burkey B, Scharpf J, Lamarre E, Ku J, Prendes B, Joshi N, Woody N, Adelstein D, Geiger J, Frenkel C, Moeller B, Milas Z, Brickman D, Sumrall A, Carrizosa D, Greskovich J, Koyfman S, Ward M. Patient Selection for De-Escalated Radiotherapy for Early-stage HPV+ Oropharynx Cancer Can be Improved by Considering Smoking Cessation: A Multi-Institution Analysis. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.1613] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Fleming C, Ward M, Woody N, Joshi N, Greskovich J, Rybicki L, Xiong D, Contrera K, Ku J, Prendes B, Lamarre E, Lorenz R, Scharpf J, Burkey B, Geiger J, Adelstein D, Koyfman S. Pre-Treatment Factors Predictive of Distant Recurrence after Definitive Treatment of HPV Associated Oropharyngeal Cancers. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.1524] [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: 10/26/2022]
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Yang Y, Zhang X, Lin F, Xiong M, Fan D, Yuan X, Lu Y, Song Y, Zhang Y, Hao M, Ye Z, Zhang Y, Wang J, Xiong D. Bispecific CD3-HAC carried by E1A-engineered mesenchymal stromal cells against metastatic breast cancer by blocking PD-L1 and activating T cells. J Hematol Oncol 2019; 12:46. [PMID: 31023384 PMCID: PMC6482514 DOI: 10.1186/s13045-019-0723-8] [Citation(s) in RCA: 20] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Accepted: 03/21/2019] [Indexed: 12/24/2022] Open
Abstract
Background PD-1/PD-L1 blockade can confer durable benefits in the treatment of metastatic cancers, but the response rate remains modest and potential adverse effects occur sometimes. Concentrating immunotherapeutic agents at the site of disease was believed to break local immune tolerance and reduce systemic toxicity. E1A-engineered mesenchymal stromal cell (MSC.E1A) was an attractive transfer system that preferentially homing and treating cancer metastasis, through which the tumor cells were modified by locally replicated adenoviruses to release CD3-HAC, a bifunctional fusion protein that anti-CD3 scfv linked with high-affinity consensus (HAC) PD-1. Subsequently, CD3-HAC, wbich was bound on PD-L1-positive breast cancer cells, recruited T cells to exhibit a potent antitumor immunity incombination with immune checkpoint blockade. Methods We constructed the CD3-HAC gene driven by human telomerase reverse transcriptase (hTERT) promoter into an adenoviral vector and the E1A gene into the lentiviral vector. The homing property of MSCs in vivo was analyzed with firefly luciferase-labeled MSCs (MSC.Luc) by bioluminescent imaging (BLI). The cytotoxicity of T cells induced by CD3-HAC towards PD-L1-positive cells was detected in vitro and in vivo in combination with 5-FU. Results Our data suggest that CD3-HAC could specifically bind to PD-L1-positive tumor cells and induce lymphocyte-mediated lysis effectively both in vitro and in vivo. The intervention with HAC diminished the effects of PD-1/PD-L1 axis on T cells exposed to MDA-MB-231 cells and increased lymphocytes activation. MSCs infected by AdCD3-HAC followed by LentiR.E1A could specially migrate to metastasis of breast cancer and produce adenoviruses in the tumor sites. Furthermore, treatment with MSC.CD3-HAC.E1A in combination with 5-FU significantly inhibited the tumor growth in mice. Conclusions This adenovirus-loaded MSC.E1A system provides a promising strategy for the identification and elimination of metastasis with locally released immuno-modulator. Electronic supplementary material The online version of this article (10.1186/s13045-019-0723-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yuanyuan Yang
- State Key Laboratory of Experimental HematologyInstitute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300020, People's Republic of China
| | - Xiaolong Zhang
- Department of Pharmacy, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, People's Republic of China
| | - Fangzhen Lin
- State Key Laboratory of Experimental HematologyInstitute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300020, People's Republic of China
| | - Mengshang Xiong
- State Key Laboratory of Experimental HematologyInstitute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300020, People's Republic of China
| | - Dongmei Fan
- State Key Laboratory of Experimental HematologyInstitute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300020, People's Republic of China
| | - Xiangfei Yuan
- Tianjin Institute of Integrative Medicine for Acute Abdominal Diseases, Tianjin Nankai Hospital, Tianjin, 300100, People's Republic of China
| | - Yang Lu
- State Key Laboratory of Experimental HematologyInstitute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300020, People's Republic of China
| | - Yuewen Song
- State Key Laboratory of Experimental HematologyInstitute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300020, People's Republic of China
| | - Yizi Zhang
- Central Hospital of Karamay, Karamay, Xinjiang, 834000, People's Republic of China
| | - Mu Hao
- State Key Laboratory of Experimental HematologyInstitute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300020, People's Republic of China
| | - Zhou Ye
- Central Hospital of Karamay, Karamay, Xinjiang, 834000, People's Republic of China.
| | - Yanjun Zhang
- State Key Laboratory of Experimental HematologyInstitute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
| | - Jianxiang Wang
- State Key Laboratory of Experimental HematologyInstitute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
| | - Dongsheng Xiong
- State Key Laboratory of Experimental HematologyInstitute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
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Marcus M, Maida CA, Wang Y, Xiong D, Hays RD, Coulter ID, Lee SY, Spolsky VW, Shen J, Crall JJ, Liu H. Child and Parent Demographic Characteristics and Oral Health Perceptions Associated with Clinically Measured Oral Health. JDR Clin Trans Res 2019; 3:302-313. [PMID: 30938594 DOI: 10.1177/2380084418774549] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To examine child and parent reports about the child's oral health and assess the associations of these reports with clinical assessments of oral health status by dental examiners. METHODS Surveys with 139 items for children and 133 items for parents were administered by Audio Computer-Assisted Self-Interview Software. In addition, the Children's Oral Health Status Index (COHSI) was computed from a dental examination. RESULTS A total of 334 families with children ages 8 to 17 y participated at 12 dental practices in Los Angeles County. Ordinary least squares regression models were estimated separately for child and parent surveys to identify items uniquely associated with the COHSI. Ten of 139 items the children reported regarding their oral health were associated with the COHSI. The strongest associations were found for child's age, aesthetic factors (straight teeth and pleased with teeth), and cognitive factors related to perception of dental appearance (pleased/happy with the look of the child's mouth, teeth, and jaws). Nine of 133 parent items about the child's oral health were associated with the COHSI in the parent model, notably being a single parent, parent's gender, parent born in the United States, pleased or happy with the look of their child's teeth, and accessing the Internet. CONCLUSION These child and parent survey items have potential to be used to assess oral health status for groups of children in programs and practices in lieu of dental screenings. KNOWLEDGE TRANSLATION STATEMENT The paper's results inform the development of a toolkit that can be used by schools, public health agencies, and dental programs to identify children with low oral health status based on parents' and children's responses to survey items across demographic, physical, mental, and social domains. These survey items can be used to inform parents of the desirability of proactively addressing inadequacies in their child's oral health status, enabling them to more rationally address dental needs.
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Affiliation(s)
- M Marcus
- 1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA
| | - C A Maida
- 1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.,2 Division of Oral Biology and Medicine, School of Dentistry, University of California, Los Angeles, CA, USA
| | - Y Wang
- 1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.,3 Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - D Xiong
- 1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.,3 Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - R D Hays
- 4 Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles, CA, USA.,5 Department of Medicine, Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.,6 RAND Corporation, Santa Monica, CA, USA
| | - I D Coulter
- 1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.,6 RAND Corporation, Santa Monica, CA, USA
| | - S Y Lee
- 7 Division of Constitutive & Regenerative Sciences, Section of Restorative Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA
| | - V W Spolsky
- 1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA
| | - J Shen
- 1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA
| | - J J Crall
- 1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA
| | - H Liu
- 1 Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA.,3 Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA.,5 Department of Medicine, Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
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Abstract
PURPOSE Cisplatin (DDP)-based chemotherapy is a standard strategy for cervical cancer, while chemoresistance remains a huge challenge. In the present study, we aimed to explore the effects of SPP1 on the proliferation and apoptosis rate of the HeLa cervical cancer cell line with cisplatin (DDP) resistance. METHODS Microarray analysis was employed to select differentially expressed genes in cervical cancer tissues and adjacent tissues. Then, we established a DDP-resistant HeLa cell line (res-HeLa). Western blotting was used to detect SPP1 expression in both tissue and cells. After the transfection with si-SPP1 and pcDNA3.1-SPP1, colony formation and MTT assays were applied to detect cell proliferation changes. Flow cytometry was employed to detect the cell apoptosis rate. Western blotting was performed to verify the activation of PI3K/Akt signal pathway proteins related to DDP resistance. RESULTS SPP1 was overexpressed in cervical cancer tissues and cell lines. Compared to normal HeLa cells, expression of SPP1 was significantly enhanced in res-HeLa cells. SPP1 knockdown resulted in repressed proliferation and enhanced apoptosis of res-HeLa cells, which could be reversed by SPP1 overexpression in HeLa cells. Additionally, downregulation of SPP1 improved the DDP sensitivity of HeLa by inhibiting the PI3K/Akt signaling pathway. CONCLUSION SPP1 inhibition could suppress proliferation, induce apoptosis and increase the DDP chemo-sensitivity of HeLa cells.
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Affiliation(s)
- Xing Chen
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, 317000, Zhejiang, China
| | - Dongsheng Xiong
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, China
| | - Liya Ye
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, 317000, Zhejiang, China
| | - Huichun Yang
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, 317000, Zhejiang, China
| | - Shuangshuang Mei
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, 317000, Zhejiang, China
| | - Jinhong Wu
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, 317000, Zhejiang, China
| | - Shanshan Chen
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, 317000, Zhejiang, China
| | - Ruoran Mi
- Department of Obstetrics and Gynecology, General Hospital of Tianjin Medical University, No. 154 Anshan Road, Heping District, Tianjin, 300052, China.
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Chen X, Xiong D, Ye L, Wang K, Huang L, Mei S, Wu J, Chen S, Lai X, Zheng L, Wang M. Up-regulated lncRNA XIST contributes to progression of cervical cancer via regulating miR-140-5p and ORC1. Cancer Cell Int 2019; 19:45. [PMID: 30858762 PMCID: PMC6394057 DOI: 10.1186/s12935-019-0744-y] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 01/31/2019] [Indexed: 12/26/2022] Open
Abstract
Background The study purpose was to make investigation into the influence of XIST on cervical cancer progression and what’s more its potential mechanism. Methods The cervical cancer data sets (lncRNA, miRNA, and mRNA) obtained from TCGA were analyzed with the “mixOmics” R package. Then, the expression of XIST, miR-140-5p, and ORC1 were detected using qRT-PCR and western blot in both tissues and cervical cancer cell lines (Hela and C33A) to verify the bioinformatics analyses results. CCK-8 assay, 5-ethynyl-2′-deoxyuridine (EdU) assays, cell cycle assay and cell apoptosis assay were practiced. Besides, immunohistochemistry staining was operated for the detection of the Ki-67, E-cadherin and vimentin expression in cervical cancer tissues and the apoptosis-related proteins expression (c-caspase3, Bcl-2, total PARP and cleaved PARP) was verified through western blot. And in vivo experiments were implemented. Results MiR-140-5p was down-regulated but XIST and ORC1 were up-regulated in cervical cancer tissues and cell lines. Knocking down of the XIST or ORC1 memorably suppressed cell proliferation, blocked cell cycle, decreased the expression of Bcl-2 while increased the apoptosis rate and the expression of c-caspase3 and cleaved PARP in HeLa and C33A cells. Besides, the results of immunohistochemistry staining showed knocking down the expression of XIST improved the expression levels of E-cadherin and decreased Ki-67 and vimentin expression. And overexpression of miR-140-5p also could inhibit the progression and reverse the influence of XIST and ORC1 in HeLa and C33A cells. Conclusion Our study indicated the effects of XIST/miR-140-5p/ORC1 axis on the progression of cervical cancer which will shed new light on epigenetic diagnostics and therapeutics in cervical cancer.
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Affiliation(s)
- Xing Chen
- 1Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, No. 150 Ximen Street, Linhai, 317000 Zhejiang China.,Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang Province, Hangzhou, 310000 Zhejiang China
| | - Dongsheng Xiong
- State Key Laboratory of Experimental Hematology, Institute of Hematology & Hospital of Blood Disease, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020 China
| | - Liya Ye
- 1Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, No. 150 Ximen Street, Linhai, 317000 Zhejiang China.,Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang Province, Hangzhou, 310000 Zhejiang China
| | - Kai Wang
- 1Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, No. 150 Ximen Street, Linhai, 317000 Zhejiang China.,Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang Province, Hangzhou, 310000 Zhejiang China
| | - Lingfei Huang
- 1Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, No. 150 Ximen Street, Linhai, 317000 Zhejiang China.,Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang Province, Hangzhou, 310000 Zhejiang China
| | - Shuangshuang Mei
- 1Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, No. 150 Ximen Street, Linhai, 317000 Zhejiang China.,Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang Province, Hangzhou, 310000 Zhejiang China
| | - Jinhong Wu
- 1Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, No. 150 Ximen Street, Linhai, 317000 Zhejiang China.,Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang Province, Hangzhou, 310000 Zhejiang China
| | - Shanshan Chen
- 1Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, No. 150 Ximen Street, Linhai, 317000 Zhejiang China.,Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang Province, Hangzhou, 310000 Zhejiang China
| | - Xiaoli Lai
- 1Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, No. 150 Ximen Street, Linhai, 317000 Zhejiang China.,Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang Province, Hangzhou, 310000 Zhejiang China
| | - Lingzhi Zheng
- 1Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, No. 150 Ximen Street, Linhai, 317000 Zhejiang China.,Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang Province, Hangzhou, 310000 Zhejiang China
| | - Meifen Wang
- 1Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, No. 150 Ximen Street, Linhai, 317000 Zhejiang China.,Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang Province, Hangzhou, 310000 Zhejiang China
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Xu Y, Li S, Wang Y, Liu J, Mao X, Xing H, Tian Z, Tang K, Liao X, Rao Q, Xiong D, Wang M, Wang J. Induced CD20 Expression on B-Cell Malignant Cells Heightened the Cytotoxic Activity of Chimeric Antigen Receptor Engineered T Cells. Hum Gene Ther 2019; 30:497-510. [PMID: 30381966 DOI: 10.1089/hum.2018.119] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
CD20 is an effective immunotherapy target for CD20+ B-cell malignant cells. Monoclonal antibody, especially rituximab, has been a conventional strategy in the treatment of B-cell malignancies such as non-Hodgkin's lymphoma. However, treatment with monoclonal antibodies has not been enough to overcome the refractory/relapse problems. Chimeric antigen receptor engineered T (CAR-T) cells have exhibited excellent therapeutic effect on lymphocytic leukemia in recent years. In this study, a CD20-specific CAR was constructed and the cytotoxic efficacy of CD20 CAR-T cells on B-cell malignant cells was evaluated by CD107a degranulation, pro-inflammation cytokine production, and true lytic ability in vitro and in vivo. It was found that CD20 CAR-T cells possessed stronger cytotoxic ability against CD20 highly expressed cells. Furthermore, when histone deacetylase inhibitor was used to enhance the expression of CD20 antigen on the surface of B-cell malignant cells via inducing acetylation of H3K9 on CD20 promoter site, it revealed that the cytotoxicity of CD20 CAR-T cells against histone deacetylase inhibitor-treated B-cell malignant cells was significantly enhanced.
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Affiliation(s)
- Yingxi Xu
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Saisai Li
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Ying Wang
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Jia Liu
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Xinhe Mao
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Haiyan Xing
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Zheng Tian
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Kejing Tang
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Xiaolong Liao
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Qing Rao
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Dongsheng Xiong
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Min Wang
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Jianxiang Wang
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
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Chen X, Xiong D, Ye L, Yang H, Mei S, Wu J, Chen S, Mi R. SPP1 inhibition improves the cisplatin chemo-sensitivity of cervical cancer cell lines. Cancer Chemother Pharmacol 2019; 83:603-613. [PMID: 30627777 DOI: 10.1007/s00280-018-3759-5] [Citation(s) in RCA: 20] [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: 07/30/2018] [Accepted: 12/15/2018] [Indexed: 01/01/2023]
Abstract
PURPOSE Cisplatin (DDP)-based chemotherapy is a standard strategy for cervical cancer, while chemoresistance remains a huge challenge. In the present study, we aimed to explore the effects of SPP1 on the proliferation and apoptosis rate of the HeLa cervical cancer cell line with cisplatin (DDP) resistance. METHODS Microarray analysis was employed to select differentially expressed genes in cervical cancer tissues and adjacent tissues. Then, we established a DDP-resistant HeLa cell line (res-HeLa). Western blotting was used to detect SPP1 expression in both tissue and cells. After the transfection with si-SPP1 and pcDNA3.1-SPP1, colony formation and MTT assays were applied to detect cell proliferation changes. Flow cytometry was employed to detect the cell apoptosis rate. Western blotting was performed to verify the activation of PI3K/Akt signal pathway proteins related to DDP resistance. RESULTS SPP1 was overexpressed in cervical cancer tissues and cell lines. Compared to normal HeLa cells, expression of SPP1 was significantly enhanced in res-HeLa cells. SPP1 knockdown resulted in repressed proliferation and enhanced apoptosis of res-HeLa cells, which could be reversed by SPP1 overexpression in HeLa cells. Additionally, downregulation of SPP1 improved the DDP sensitivity of HeLa by inhibiting the PI3K/Akt signaling pathway. CONCLUSION SPP1 inhibition could suppress proliferation, induce apoptosis and increase the DDP chemo-sensitivity of HeLa cells.
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Affiliation(s)
- Xing Chen
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, 317000, Zhejiang, China
| | - Dongsheng Xiong
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, China
| | - Liya Ye
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, 317000, Zhejiang, China
| | - Huichun Yang
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, 317000, Zhejiang, China
| | - Shuangshuang Mei
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, 317000, Zhejiang, China
| | - Jinhong Wu
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, 317000, Zhejiang, China
| | - Shanshan Chen
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, 317000, Zhejiang, China
| | - Ruoran Mi
- Department of Obstetrics and Gynecology, General Hospital of Tianjin Medical University, No. 154 Anshan Road, Heping District, Tianjin, 300052, China.
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Chen X, Xiong D, Yang H, Ye L, Mei S, Wu J, Chen S, Shang X, Wang K, Huang L. Long noncoding RNA OPA-interacting protein 5 antisense transcript 1 upregulated SMAD3 expression to contribute to metastasis of cervical cancer by sponging miR-143-3p. J Cell Physiol 2018; 234:5264-5275. [PMID: 30341904 DOI: 10.1002/jcp.27336] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [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: 06/07/2018] [Accepted: 08/10/2018] [Indexed: 12/18/2022]
Abstract
OBJECTIVES SMAD3 is pivotal in the biology functions of various tumors. This study is aiming to study the relationship among SMAD3, long noncoding RNAs (lncRNAs) OPA-interacting protein 5 antisense transcript 1 (OIP5-AS1), and miR-143-3p, and their effects on cervical cancer. METHODS In our research, real-time polymerase chain reaction and western blot assay were conducted to detect the expression level of messenger RNA and protein in tumor tissues and cells. Transfection of lncRNA OIP5-AS1, miR-143-3p, or SMAD3 was performed to investigate their potential effects on the function of cell as well as the relationship among them in cervical cell lines via 3-(4,5-dimethylthiazolyl-2)-2,5-diphenyltetrazolium bromide) together with transwell assays or dual-luciferase reporter assay respectively. RESULTS SMAD3, lncRNA OIP5-AS1 expression is significantly enhanced in cervical cancer tissues and cell lines, but miR-143-3p was inhibited. LncRNA OIP5-AS1 is demonstrated to mediate the physiological process of cervical cancer cells. Moreover, silencing SMAD3 via siRNA suppressed cell number, viability, migration and invasion, whereas overexpression of OIP5-AS1 promoted these abilities. Furthermore, lncRNA OIP5-AS1 exert its function via sponging miR-143-3p to regulate SMAD3 expression. CONCLUSIONS LncRNA OIP5-AS1 promoted SMAD3 expression via mediating miR-143-3p to promote migration and invasion of cervical cancer cells.
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Affiliation(s)
- Xing Chen
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China
| | - Dongsheng Xiong
- State Key Laboratory of Experimental Hematology, Institute of Hematology & Hospital of Blood Disease, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Huichun Yang
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China
| | - Liya Ye
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China
| | - Shuangshuang Mei
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China
| | - Jinhong Wu
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China
| | - Shanshan Chen
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China
| | - Xianwen Shang
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China
| | - Kai Wang
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China
| | - Lingfei Huang
- Department of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China
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Zhang X, Yang Y, Fan D, Xiong D. The development of bispecific antibodies and their applications in tumor immune escape. Exp Hematol Oncol 2017; 6:12. [PMID: 28469973 PMCID: PMC5414286 DOI: 10.1186/s40164-017-0072-7] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 04/27/2017] [Indexed: 12/13/2022] Open
Abstract
During the past two decades, a great evolution of bispecific antibodies (BsAbs) for therapeutic applications has been made. BsAbs can bind simultaneously two different antigens or epitopes, which leads to a wide range of applications including redirecting T cells or NK cells to tumor cells, blocking two different signaling pathways, dual targeting of different disease mediators, and delivering payloads to targeted sites. Aside from approved catumaxomab (anti-CD3 and anti-EpCAM) and blinatumomab (anti-CD3 and anti-CD19), many more BsAbs are now in various phases of clinical development. Here, this review focus on the development of bispecific antibodies and their applications in tumor immune escape.
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Affiliation(s)
- Xiaolong Zhang
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300020 People's Republic of China
| | - Yuanyuan Yang
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300020 People's Republic of China
| | - Dongmei Fan
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300020 People's Republic of China
| | - Dongsheng Xiong
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300020 People's Republic of China
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Yuan X, Zhang Q, Li Z, Zhang X, Bao S, Fan D, Ru Y, Dong S, Zhang Y, Zhang Y, Ye Z, Xiong D. Mesenchymal stem cells deliver and release conditionally replicative adenovirus depending on hepatic differentiation to eliminate hepatocellular carcinoma cells specifically. Cancer Lett 2016; 381:85-95. [PMID: 27450327 DOI: 10.1016/j.canlet.2016.07.019] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Revised: 07/14/2016] [Accepted: 07/16/2016] [Indexed: 12/26/2022]
Abstract
Currently, it is a key challenge to remove the postsurgical residuals and metastasis of hepatocellular carcinoma (HCC). Oncolytic adenoviral virotherapy is an attractive treatment modality for cancer; however, the difficulty remains regarding its intravenous administration. The aim of this study was to develop a targeted therapeutic system which has great potential to overcome the postsurgical residuals and metastasis of HCC. In this system, we developed a conditionally replicative adenovirus (CRAd) loaded on human umbilical cord-derived mesenchymal stem cells (HUMSCs), in which the CRAd contained an adenovirus E1A gene dual regulated by α-fetoprotein promoter and microRNA-122 target sequence. When HUMSCs homed to the tumor sites and differentiated into hepatocyte-like cells within tumor microenvironment, the CRAds were packaged and released strictly to the local tumor. Subsequently, the CRAd lysed tumor cells selectively with the post-infection regulation. The study showed the specific oncolytic effect of the CRAd to HCC cells and the production of the CRAd by differentiated HUMSCs in vitro. Furthermore, we proved the hepatocyte-like transformation of HUMSC in the microenvironment of orthotopic or heterotopic hepatoma. Finally, this therapeutic system exhibited dramatic tumor inhibition on both orthotopic and subcutaneous hepatic xenograft tumor model mice with less toxicity on normal organs. The study results have demonstrated that this targeted therapeutic strategy is a promising method to resolve the problem of postsurgical residuals and metastasis of HCC.
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Affiliation(s)
- Xiangfei Yuan
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Nankai Hospital, Tianjin Institute of Integrative Medicine for Acute Abdominal Diseases, Tianjin 300100, China
| | - Qing Zhang
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Zhenzhen Li
- National-Local Joint Engineering Research Center of Biodiagnostics & Biotherapy, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an 710004, China
| | - Xiaolong Zhang
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Shiqi Bao
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Dongmei Fan
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Yongxin Ru
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Shuxu Dong
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Yizhi Zhang
- Central Hospital of Karamay, Karamay, Xinjiang 834000, China
| | - Yanjun Zhang
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China.
| | - Zhou Ye
- Central Hospital of Karamay, Karamay, Xinjiang 834000, China.
| | - Dongsheng Xiong
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China.
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Lu X, Yang Y, Wu F, Gao M, Xu Y, Zhang Y, Yao Y, Du X, Li C, Wu L, Zhong X, Zhou Y, Fan N, Zheng Y, Xiong D, Peng H, Escudero J, Huang B, Li X, Ning Y, Wu K. Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images. Medicine (Baltimore) 2016; 95:e3973. [PMID: 27472673 PMCID: PMC5265810 DOI: 10.1097/md.0000000000003973] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 05/16/2016] [Accepted: 05/26/2016] [Indexed: 12/11/2022] Open
Abstract
Structural abnormalities in schizophrenia (SZ) patients have been well documented with structural magnetic resonance imaging (MRI) data using voxel-based morphometry (VBM) and region of interest (ROI) analyses. However, these analyses can only detect group-wise differences and thus, have a poor predictive value for individuals. In the present study, we applied a machine learning method that combined support vector machine (SVM) with recursive feature elimination (RFE) to discriminate SZ patients from normal controls (NCs) using their structural MRI data. We first employed both VBM and ROI analyses to compare gray matter volume (GMV) and white matter volume (WMV) between 41 SZ patients and 42 age- and sex-matched NCs. The method of SVM combined with RFE was used to discriminate SZ patients from NCs using significant between-group differences in both GMV and WMV as input features. We found that SZ patients showed GM and WM abnormalities in several brain structures primarily involved in the emotion, memory, and visual systems. An SVM with a RFE classifier using the significant structural abnormalities identified by the VBM analysis as input features achieved the best performance (an accuracy of 88.4%, a sensitivity of 91.9%, and a specificity of 84.4%) in the discriminative analyses of SZ patients. These results suggested that distinct neuroanatomical profiles associated with SZ patients might provide a potential biomarker for disease diagnosis, and machine-learning methods can reveal neurobiological mechanisms in psychiatric diseases.
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Affiliation(s)
- Xiaobing Lu
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
| | - Yongzhe Yang
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
- School of Medicine, South China University of Technology (SCUT), Guangzhou, China
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, China
| | - Fengchun Wu
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
| | - Minjian Gao
- School of Computer Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Yong Xu
- School of Computer Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Yue Zhang
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Yongcheng Yao
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Xin Du
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Chengwei Li
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Lei Wu
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
- School of Medicine, South China University of Technology (SCUT), Guangzhou, China
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, China
| | - Xiaomei Zhong
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
| | - Yanling Zhou
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
| | - Ni Fan
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
| | - Yingjun Zheng
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
| | - Dongsheng Xiong
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Hongjun Peng
- Department of Clinical Psychology, Guangzhou Brain Hospital (GBH)/ (Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
| | - Javier Escudero
- Institute for Digital Communications, School of Engineering, The University of Edinburgh, Edinburgh EH9 3JL, UK
| | - Biao Huang
- School of Medicine, South China University of Technology (SCUT), Guangzhou, China
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, China
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, US
- Department of Electric and Computer Engineering, New Jersey Institute of Technology, NJ, US
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, US
| | - Yuping Ning
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
| | - Kai Wu
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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Ye F, Li Y, Hou M, Xiong D, Zeng L. [Influence of sperm nucleoprotein transition on in vitro embryo development]. Zhonghua Yi Xue Yi Chuan Xue Za Zhi 2016; 33:177-80. [PMID: 27060310 DOI: 10.3760/cma.j.issn.1003-9406.2016.02.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To correlate sperm nucleoprotein transition (SNT) with sperm morphology, DNA damage and embryo development, and assess its value for assisted reproductive technology (ART). METHODS The SNT of 437 infertile men underwent ART were assayed, and its correlation with sperm morphology, DNA damage, fertilization rate, normal fertilization rate, cleavage rate, available embryo rate, D3 high quality embryo rate, blastocyst formation rate and high quality blastocyst rate were analyzed. RESULTS The normal morphology rate of sperms, DNA damage, fertilization rate, normal fertilization rate, cleavage rate, embryo transfer rate (ETR), D3 high quality embryo rate, blastocyst formation rate (BFR) and high quality blastocyst in normal males (Group A, abnormal rate≤30%, 135 subjects) did not significantly differ from those with an abnormal rate between 30% and 60% (Group B, 170 subjects) (P>0.05). For those with an abnormal rate of above 60% (Group C, 132 subjects), the sperm normal morphology rate, DNA damage, normal fertilization rate, ETR, D3 high quality embryo rate, high quality blastocyst rate were significantly lower compared with Group A (P<0.01), while no significant difference was found in fertilization rate, cleavage rate and BFR between groups A and C (P>0.05). CONCLUSION SNT is related with sperm morphology rate, DNA damage and embryo development, and should be assessed before ART.
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Affiliation(s)
- Fei Ye
- Sichuan Provincial Women and Children Hospital, Chengdu, Sichuan 610045, China.
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Zhou Q, Pan X, Wang L, Wang X, Xiong D. The protective role of neuregulin-1: A potential therapy for sepsis-induced cardiomyopathy. Eur J Pharmacol 2016; 788:234-240. [PMID: 27346832 DOI: 10.1016/j.ejphar.2016.06.042] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Revised: 06/20/2016] [Accepted: 06/22/2016] [Indexed: 01/05/2023]
Abstract
The extremely high mortality of sepsis in intensive care units, caused primarily by sepsis-induced cardiomyopathy, is a pressing issue. Current studies have revealed the importance of the neuregulin-1 (NRG-1)/ErbB signaling axis at the cardiovascular level and the positive effect of NRG-1 on cardiac function in patients with heart failure. To investigate the protective mechanism of NRG-1 against myocardial injury in septic rats, a cecal ligation and puncture (CLP) model was applied. Animals were administered either a vehicle or recombinant human NRG-1 (rhNRG-1, 10μg/kg). Their survival rates were noted 24h after CLP. The hemodynamic method was used to evaluate their cardiac function. The myocardial morphology was observed. An enzyme-linked immunosorbent assay was used to detect the level of cardiac troponin-T (cTn-T), cytokines, and angiotensin II (Ang II) in the serum and myocardium. Compared with the vehicle, rhNRG-1 improved survival of rats and prevented hemodynamic derangement, as reflected in the increased mean arterial pressure, left ventricular systolic pressure, ±dp/dt max, and decreased left ventricular end-diastolic pressure (P<0.05). Furthermore, the serum levels of cTn-T and pro-inflammatory cytokines (tumor necrosis factor alpha (TNF-α), interleukin (IL)-1β, and IL-6) were significantly increased in vehicle-treated rats but reduced in rhNRG-1-treated rats. The latter also showed decreased concentration of macrophage inhibitory factor and Ang II in the myocardium (P<0.05). These results suggest that NRG-1 improved cardiac function and protected cardiomyocytes of rats from CLP-induced sepsis by suppressing the immune inflammatory response and excessive activation of the renin-angiotensin-aldosterone system. Ultimately, NRG-1 increased the survival rate of rats.
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Affiliation(s)
- Qin Zhou
- Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, PR China
| | - Xia Pan
- Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, PR China
| | - Long Wang
- Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, PR China.
| | - Xi Wang
- Cardiovascular Research Institute of Wuhan University, Wuhan, PR China.
| | - Dongsheng Xiong
- Cardiovascular Research Institute of Wuhan University, Wuhan, PR China
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Abstract
KRAS, also known as V-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog, acts as an intracellular signal transducer. The oncogenic KRAS mutation is an essential step in the development of many types of human cancers, including hepatocellular carcinoma. Here we aimed to investigate the relationship between KRAS rs712 polymorphisms and hepatocellular carcinoma susceptibility. Five-hundred-and-fourteen participants were enrolled in a case-control study (262 cases and 252 normal subjects). The variants were distinguished using polymerase chain reaction-restriction fragment length polymorphism. Significantly increased HCC risk was observed to be associated with the T allele of the rs712 locus (P = 0.049, OR = 1.35, 95%CI = 1.01-1.78). Further, HCC risk with the GT genotype (P = 0.015, OR = 1.64, 95%CI = 1.08-2.50) and the TT genotype (P = 0.015, OR = 2.56, 95%CI = 1.05-6.25) in a codominant model was significantly higher than that with the GG genotype. In a dominant model, significantly increased HCC susceptibility was also associated with T allele carriers (P = 0.006, OR = 1.75, 95%CI = 1.16-2.63). Moreover, we found that the frequency of the KRAS rs712 TT genotype was significantly higher in HBV-positive HCC patients than in HBV-negative HCC patients.
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Affiliation(s)
- D Xiong
- Department of General Surgery, Meishan People's Hospital, Meishan, Sichuan, China
| | - Y P Song
- Laboratory of Molecular Translational Medicine, West China Institute of Women and Children's Health
| | - W Xiong
- Multiple Organ Transplant Center, Sichuan Provincial People's Hospital, Chengdu, China
| | - Y D Liang
- Laboratory of Molecular Translational Medicine, West China Institute of Women and Children's Health
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Fan D, Li W, Yang Y, Zhang X, Zhang Q, Yan Y, Yang M, Wang J, Xiong D. Redirection of CD4+ and CD8+ T lymphocytes via an anti-CD3 × anti-CD19 bi-specific antibody combined with cytosine arabinoside and the efficient lysis of patient-derived B-ALL cells. J Hematol Oncol 2015; 8:108. [PMID: 26444983 PMCID: PMC4596481 DOI: 10.1186/s13045-015-0205-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Accepted: 09/28/2015] [Indexed: 01/07/2023] Open
Abstract
Background B-acute lymphoblastic leukemia (B-ALL) is derived from B cell progenitors. Recently, the development of appropriate combinations of chemotherapy and immunotherapy represents a promising approach for eliminating cancer. We previously constructed an anti-CD3 × anti-CD19 bi-specific antibody in a diabody configuration and its disulfide-stabilized format (ds-diabody). The combination of the diabody or ds-diabody and Ara-C was highly effective in enhancing the cytotoxicity of T cells against the CD19+ human leukemia cell-line, Nalm-6, both in vitro and in vivo. This study verified whether B-ALL patient-derived cells were sensitive to the diabody or ds-diabody and low-dosage Ara-C combination. Methods This study aimed to detect the B7 family members B7.1 (CD80) and B7.2 (CD86) that were expressed in B-ALL patient-derived cells pre-treated by Ara-C (0.25 μM) and to determine the targeted killing ability of T cell subtypes induced by the diabody or ds-diabody combination with Ara-C both in vitro and in vivo. We also determined the levels of the cytokines that were released by activated CD4+ or CD8+ T cells during therapy. Result Low-dose Ara-C enhanced CD80 and CD86 expression in nearly 50 % of specimens of B-ALL patient-derived cells. A combination of diabody or ds-diabody and Ara-C enhanced T cell against B-ALL cells in vitro and in vivo. Both CD8+ and CD4+ T cells were potently activated. Expression of CD25 and CD69 was augmented equally by CD4+ or CD8+ T cells. However, CD8+ T cells made the major contribution by redirecting target cell lysis in a granzyme B and perforin-dependent mechanism. CD4+ T cells played an important immunomodulatory role by secreting IL2. Consequently, IL3, IL6, TNFα, and IFNγ were also released by CD4+ or CD8+ T cells following diabody-mediated T cell activation. Conclusion T cell therapy induced by diabody or ds-diabody combined with low dose of Ara-C was effective against cancer cell-lines and in clinical trials. In vivo, the ds-diabody was more efficient than its parent diabody due to its enhanced stability.
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Affiliation(s)
- Dongmei Fan
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
| | - Wei Li
- Department of Maxillofacial and E.N.T. Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, People's Republic of China.
| | - Yuqi Yang
- School of Pharmacy, Tianjin Medical University, Tianjin, 300070, People's Republic of China.
| | - Xiaolong Zhang
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
| | - Qing Zhang
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
| | - Yan Yan
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
| | - Ming Yang
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
| | - Jianxiang Wang
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
| | - Dongsheng Xiong
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, People's Republic of China.
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Jiang L, Yang M, Zhang X, Bao S, Ma L, Fan D, Zhou Y, Xiong D, Zhen Y. A novel antibody-drug conjugate anti-CD19(Fab)-LDM in the treatment of B-cell non-Hodgkin lymphoma xenografts with enhanced anticancer activity. J Drug Target 2015. [PMID: 26204323 DOI: 10.3109/1061186x.2015.1055568] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Rituximab is widely used in clinical setting for the treatment of B malignant lymphoma and has achieved remarkable success. However, in most patients, the disease ultimately relapses and become resistant to rituximab. To overcome the limitation, there is still a need to find novel strategy for improving therapeutic efficacy. OBJECTIVE To construct genetically engineered antibody anti-CD19(Fab)-LDM, and verify the anticancer activity targeted toward B-lymphoma. METHODS The anticancer activity of anti-CD19(Fab)-LDM in vitro and in vivo was examined. In vitro, the binding activity and internalization of anti-CD19(Fab)-LDP were measured. Using comet assay and apoptosis, the cytotoxicity of energized fusion proteins was observed. From in vivo experiments, targeting of therapeutic effect and anticancer efficacy bythe fusion protein was verified. RESULTS Data showed that anti-CD19(Fab)-LDM does not only binding the cell surface but is also internalized into the cell. The energized fusion proteins anti-CD19(Fab)-LDM can induce DNA damage. Furthermore, significant in vivo therapeutic efficacy was observed. CONCLUSION The present study demonstrated that the genetically engineered antibody anti-CD19(Fab)-LDM exhibited enhanced cytotoxicity compared to LDM alone. One of the most powerful advantages of anti-CD19(Fab)-LDM, however, is that it can be internalized within the cells and carry out cytotoxic effects. Therefore, anti-CD19(Fab)-LDM may be as a useful targeted therapy for B-cell lymphoma.
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Affiliation(s)
- Linlin Jiang
- a State key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College , China and
| | - Ming Yang
- a State key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College , China and
| | - Xiaoyun Zhang
- a State key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College , China and
| | - Shiqi Bao
- a State key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College , China and
| | - Li Ma
- a State key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College , China and
| | - Dongmei Fan
- a State key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College , China and
| | - Yuan Zhou
- a State key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College , China and
| | - Dongsheng Xiong
- a State key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College , China and
| | - Yongsu Zhen
- b Department of Oncology , Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College , China
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Zhang Y, Liu R, Fan D, Shi R, Yang M, Miao Q, Deng ZQ, Qian J, Zhen Y, Xiong D, Wang J. The novel structure make LDM effectively remove CD123+ AML stem cells in combination with interleukin 3. Cancer Biol Ther 2015; 16:1514-25. [PMID: 26186454 DOI: 10.1080/15384047.2015.1071733] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
CD123 became a therapeutic target for acute myelocytic leukemia(AML) because of its overexpression only on AML stem cells. It is α subunit of interleukin-3 (multi-CSF, IL3) receptor. Lidamycin(LDM) is a novel antibiotic composed of an apoprotein (LDP) and a chromophore (AE). We cloned, expressed and isolated IL3LDP fusion protein first then assembled with AE in vitro. We found that131/132 amino acids of IL3 were the key factors for IL3 fusion protein stability and I131L/F132L mutation effectively improved the IL3 fusion protein stability. The toxicity of IL3LDM to CD123+ tumor cells was 2-10 times compared to LDM alone and 10000 times compared to ADR. Meanwhile, IL3LDM impaired the colony-forming ability of CD123+ stem-like cells but not to CD123 negative normal cord blood cells. Three drug delivery methods in vivo were adopted: prophylactic treatment and single/multiple-dosing administration. The tumor-free survival extended to 120 d and cancer cell invasion significantly decreased after IL3LDM continuous multiple treated. Moreover, IL3LDM had been shown to modulate apoptosis by arrested cell cycle in G2/M phase. Therefore, IL3LDM is expected to be a new drug for leukemia target therapy.
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Affiliation(s)
- Yanjun Zhang
- a State Key Laboratory of Experimental Hematology ; Institute of Hematology & Hospital of Blood Diseases ; Chinese Academy of Medical Sciences & Peking Union Medical College ; Tianjin , China
| | - Rong Liu
- b Department of biochemistry ; Microbiology and Immunology ; Faculty of Medicine ; University of Ottawa ; Ottawa , ON Canada
| | - Dongmei Fan
- a State Key Laboratory of Experimental Hematology ; Institute of Hematology & Hospital of Blood Diseases ; Chinese Academy of Medical Sciences & Peking Union Medical College ; Tianjin , China
| | - Rizan Shi
- c Institute of Medicinal Biotechnology Academy of Medical Sciences & Peking Union Medical College ; Beijing , China
| | - Ming Yang
- a State Key Laboratory of Experimental Hematology ; Institute of Hematology & Hospital of Blood Diseases ; Chinese Academy of Medical Sciences & Peking Union Medical College ; Tianjin , China
| | - Qingfang Miao
- d Department of Pharmacology ; Shanxi Medical University ; Taiyuan, Shanxi , PR China
| | - Zhao-Qun Deng
- e Affiliated People's Hospital of Jiangsu University ; Zhenjiang, Jiangsu , PR China
| | - Jun Qian
- e Affiliated People's Hospital of Jiangsu University ; Zhenjiang, Jiangsu , PR China
| | - Yongsu Zhen
- d Department of Pharmacology ; Shanxi Medical University ; Taiyuan, Shanxi , PR China
| | - Dongsheng Xiong
- a State Key Laboratory of Experimental Hematology ; Institute of Hematology & Hospital of Blood Diseases ; Chinese Academy of Medical Sciences & Peking Union Medical College ; Tianjin , China
| | - Jianxiang Wang
- a State Key Laboratory of Experimental Hematology ; Institute of Hematology & Hospital of Blood Diseases ; Chinese Academy of Medical Sciences & Peking Union Medical College ; Tianjin , China
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Abstract
Recent studies have demonstrated mesenchymal stem cells (MSCs) are able to migrate specifically to tumors and their metastatic sites when administered intravenously. This characteristic tumor tropism has opened up an emerging field to utilize MSCs as vectors to deliver anti-cancer agents for targeted therapies. Genetically engineered MSCs can specifically migrate to various tumors and locally secrete therapeutic proteins, such as interferon β (IFN-β) and IFN-γ, interleukin 12 and 24, tumor necrosis factor-related apoptosis inducing ligand (TRAIL) or suicide gene/enzyme prodrug. In addition, MSCs have also been engineered to deliver oncolytic viruses and drug-loaded nanoparticles. Here, we present the characteristics of MSCs, the current progress on MSC mediated anti-cancer agents delivery systems and the interaction between MSCs and tumors.
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Affiliation(s)
- Zhenzhen Li
- 1 State Key Laboratory of Experimental Hematology, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China ; 2 National-local Joint Engineering Research Center of Biodiagnostics & Biotherapy, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an 710004, China
| | - Dongmei Fan
- 1 State Key Laboratory of Experimental Hematology, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China ; 2 National-local Joint Engineering Research Center of Biodiagnostics & Biotherapy, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an 710004, China
| | - Dongsheng Xiong
- 1 State Key Laboratory of Experimental Hematology, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China ; 2 National-local Joint Engineering Research Center of Biodiagnostics & Biotherapy, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an 710004, China
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47
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Abstract
Translation rule selection is a task of selecting appropriate translation rules for an ambiguous source-language segment. As translation ambiguities are pervasive in statistical machine translation, we introduce two topic-based models for translation rule selection which incorporates global topic information into translation disambiguation. We associate each synchronous translation rule with source- and target-side topic distributions.With these topic distributions, we propose a topic dissimilarity model to select desirable (less dissimilar) rules by imposing penalties for rules with a large value of dissimilarity of their topic distributions to those of given documents. In order to encourage the use of non-topic specific translation rules, we also present a topic sensitivity model to balance translation rule selection between generic rules and topic-specific rules. Furthermore, we project target-side topic distributions onto the source-side topic model space so that we can benefit from topic information of both the source and target language. We integrate the proposed topic dissimilarity and sensitivity model into hierarchical phrase-based machine translation for synchronous translation rule selection. Experiments show that our topic-based translation rule selection model can substantially improve translation quality.
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48
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Ma L, Gong H, Zhu H, Ji Q, Su P, Liu P, Cao S, Yao J, Jiang L, Han M, Ma X, Xiong D, Luo HR, Wang F, Zhou J, Xu Y. A novel small-molecule tumor necrosis factor α inhibitor attenuates inflammation in a hepatitis mouse model. J Biol Chem 2014; 289:12457-66. [PMID: 24634219 DOI: 10.1074/jbc.m113.521708] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Overexpression of tumor necrosis factor α (TNFα) is a hallmark of many inflammatory diseases, including rheumatoid arthritis, inflammatory bowel disease, and septic shock and hepatitis, making it a potential therapeutic target for clinical interventions. To explore chemical inhibitors against TNFα activity, we applied computer-aided drug design combined with in vitro and cell-based assays and identified a lead chemical compound, (E)-4-(2-(4-chloro-3-nitrophenyl) (named as C87 thereafter), which directly binds to TNFα, potently inhibits TNFα-induced cytotoxicity (IC50 = 8.73 μM) and effectively blocks TNFα-triggered signaling activities. Furthermore, by using a murine acute hepatitis model, we showed that C87 attenuates TNFα-induced inflammation, thereby markedly reducing injuries to the liver and improving animal survival. Thus, our results lead to a novel and highly specific small-molecule TNFα inhibitor, which can be potentially used to treat TNFα-mediated inflammatory diseases.
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Affiliation(s)
- Li Ma
- From the State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
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49
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Li W, Fan D, Yang M, Yan Y, Shi R, Cheng J, Li Z, Zhang M, Wang J, Xiong D. Cytosine arabinoside promotes cytotoxic effect of T cells on leukemia cells mediated by bispecific antibody. Hum Gene Ther 2014; 24:751-60. [PMID: 23879717 DOI: 10.1089/hum.2013.051] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Chemotherapeutic drugs can enhance an immune response of the host against the tumor in addition to killing cancer cells by direct cytotoxicity. Therefore, the combination of chemotherapy and immunotherapy is a promising approach for eliminating tumors, particularly in advanced stages. A strategic medication is to use a bispecific antibody format that is capable of recruiting polyclonal T cells around antibody-target-expressing tumor cells. Recently, we have constructed a bispecific antibody, anti-CD3×anti-CD19, in a diabody configuration. In this study, we measured B7 family members B7.1 (CD80) and B7.2 (CD86) expressed on a CD19(+) human leukemia cell line, Nalm-6, stimulated by cytosine arabinoside (Ara-C). We found that a low concentration of Ara-C could upregulate CD80 expressed on CD19(+) Nalm-6 cells. The cytotoxicity of T lymphocytes against Nalm-6 cells in vitro and in vivo mediated by the anti-CD3×anti-CD19 diabody with or without a low dose of Ara-C was compared. The combination of the anti-CD3×anti-CD19 diabody and Ara-C showed the greatest effectiveness in enhancing the cytotoxicity of T cells against the tumor cells in vitro and in vivo. Activated T cells expressed higher levels of CD25 and CD69 and released more interleukin 2. Both perforin/granzyme B system and Fas/FasL pathway were involved in the diabody-induced T-cell cytotoxicity. Moreover, the activated T cells could upregulate ICAM-3 expression on Nalm-6 cells, and inhibition of LFA-1-ICAM-3 interaction impaired cytotoxicity of T cells. It was noted that Ara-C could upregulate CD80 expressed on two of five specimens of acute B lymphoblastic leukemia patient-derived cells. Cytotoxicity of T cells against these two patient-derived cells was enhanced in the presence of the anti-CD3×anti-CD19 diabody. These findings indicate that treatment strategy using both cytotoxic lymphocyte-based immunotherapy and chemotherapy may have synergistic effects.
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Affiliation(s)
- Wei Li
- State Key Laboratory of Experimental Hematology, Institute of Hematology and Hospital of Blood Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, P.R. China
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50
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Yan C, Yang M, Li Z, Li S, Hu X, Fan D, Zhang Y, Wang J, Xiong D. Suppression of orthotopically implanted hepatocarcinoma in mice by umbilical cord-derived mesenchymal stem cells with sTRAIL gene expression driven by AFP promoter. Biomaterials 2014; 35:3035-43. [PMID: 24406219 DOI: 10.1016/j.biomaterials.2013.12.037] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [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: 11/16/2013] [Accepted: 12/13/2013] [Indexed: 01/04/2023]
Abstract
Mesenchymal stem cells (MSCs) are promising vehicles for delivering therapeutic agents in tumor therapy. Human umbilical cord-derived mesenchymal stem cells (HUMSCs) resemble bone marrow-derived MSCs with respect to hepatic differentiation potential in injured livers in animals, while their hepatic differentiation under the hepatocarcinoma microenvironment is unclear. In this study, HUMSCs were isolated and transduced by lentiviral vectors coding the soluble human tumor necrosis factor-related apoptosis-inducing ligand (sTRAIL) gene driven by alpha-fetoprotein (AFP) promoter to investigate the therapeutic effects of these HUMSC against orthotopically implanted hepatocarcinoma in mice. We showed that HUMSCs can be transduced by lentivirus efficiently. HUMSCs developed cuboidal morphology, and expressed AFP and albumin in a two-step protocol. HUMSCs were capable of migrating to hepatocarcinoma in vitro as well as in vivo. In the orthotopical hepatocarcinoma microenvironment, the AFP promoter was activated during the early hepatic differentiation of HUMSCs. After intravenous injected, MSC.AFPILZ-sTRAIL expressed sTRAIL exclusively at the tumor site, and exhibited significant antitumor activity. This effect was stronger when in combination with 5-FU. The treatment was tolerated well in mice. Collectively, our results provide a potential strategy for targeted tumor therapy relying on the use of the tumor tropism and specific differentiation of HUMSCs as vehicles.
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Affiliation(s)
- Cihui Yan
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Number 188, Nanjing Road, Heping District, Tianjin, China; Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, China; National Clinical Research Center of Cancer, China; Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
| | - Ming Yang
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Number 188, Nanjing Road, Heping District, Tianjin, China
| | - Zhenzhen Li
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Number 188, Nanjing Road, Heping District, Tianjin, China
| | - Shuangjing Li
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Number 188, Nanjing Road, Heping District, Tianjin, China
| | - Xiao Hu
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Number 188, Nanjing Road, Heping District, Tianjin, China
| | - Dongmei Fan
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Number 188, Nanjing Road, Heping District, Tianjin, China
| | - Yanjun Zhang
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Number 188, Nanjing Road, Heping District, Tianjin, China
| | - Jianxiang Wang
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Number 188, Nanjing Road, Heping District, Tianjin, China
| | - Dongsheng Xiong
- State Key Laboratory of Experimental Hematology, Department of Pharmacy, Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Number 188, Nanjing Road, Heping District, Tianjin, China.
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