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Yang YH, Ku X, Gong YN, Meng FL, Dongbo DP, Guo YH, Wei XY, Long LJ, Fan JM, Zhang MJ, Zhang JZ, Yan XM. [Prediction of superantigen active sites and clonal expression of staphylococcal enterotoxin-like W]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:629-635. [PMID: 37147837 DOI: 10.3760/cma.j.cn112338-20220822-00725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Objective: The docking and superantigen activity sites of staphylococcal enterotoxin-like W (SElW) and T cell receptor (TCR) were predicted, and its SElW was cloned, expressed and purified. Methods: AlphaFold was used to predict the 3D structure of SElW protein monomers, and the protein models were evaluated with the help of the SAVES online server from ERRAT, Ramachandran plot, and Verify_3D. The ZDOCK server simulates the docking conformation of SElW and TCR, and the amino acid sequences of SElW and other serotype enterotoxins were aligned. The primers were designed to amplify selw, and the fragment was recombined into the pMD18-T vector and sequenced. Then recombinant plasmid pMD18-T was digested with BamHⅠand Hind Ⅲ. The target fragment was recombined into the expression plasmid pET-28a(+). After identification of the recombinant plasmid, the protein expression was induced by isopropyl-beta-D- thiogalactopyranoside. The SElW expressed in the supernatant was purified by affinity chromatography and quantified by the BCA method. Results: The predicted three-dimensional structure showed that the SElW protein was composed of two domains, the amino-terminal and the carboxy-terminal. The amino-terminal domain was composed of 3 α-helices and 6 β-sheets, and the carboxy-terminal domain included 2 α-helices and 7 antiparallel β-sheets composition. The overall quality factor score of the SElW protein model was 98.08, with 93.24% of the amino acids having a Verify_3D score ≥0.2 and no amino acids located in disallowed regions. The docking conformation with the highest score (1 521.328) was selected as the analysis object, and the 19 hydrogen bonds between the corresponding amino acid residues of SElW and TCR were analyzed by PyMOL. Combined with sequence alignment and the published data, this study predicted and found five important superantigen active sites, namely Y18, N19, W55, C88, and C98. The highly purified soluble recombinant protein SElW was obtained with cloning, expression, and protein purification. Conclusions: The study found five superantigen active sites in SElW protein that need special attention and successfully constructed and expressed the SElW protein, which laid the foundation for further exploration of the immune recognition mechanism of SElW.
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Affiliation(s)
- Y H Yang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - X Ku
- Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China University of Chinese Academy of Sciences, Beijing 100049, China
| | - Y N Gong
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - F L Meng
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - D P Dongbo
- Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China University of Chinese Academy of Sciences, Beijing 100049, China Big Data Academy, Zhongke, Zhengzhou 450046, China
| | - Y H Guo
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou 014040, China
| | - X Y Wei
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - L J Long
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China China Medical University, Shenyang 110122, China
| | - J M Fan
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - M J Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - J Z Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - X M Yan
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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Liu JL, Shen Q, Wu MY, Zhu GH, Li YF, Wang XW, Tang XS, Bi YL, Gong YN, Chen J, Fang XY, Zhai YH, Wu BB, Li GM, Sun YB, Gao XJ, Liu CH, Jiang XY, Hao S, Kang YL, Gong YL, Rong LP, Li D, Wang S, Ma D, Rao J, Xu H. Responsible genes in children with primary vesicoureteral reflux: findings from the Chinese Children Genetic Kidney Disease Database. World J Pediatr 2021; 17:409-418. [PMID: 34059960 DOI: 10.1007/s12519-021-00428-x] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 03/31/2021] [Indexed: 12/01/2022]
Abstract
BACKGROUND Primary vesicoureteral reflux (VUR) is a common congenital anomaly of the kidney and urinary tract (CAKUT) in childhood. The present study identified the possible genetic contributions to primary VUR in children. METHODS Patients with primary VUR were enrolled and analysed based on a national multi-center registration network (Chinese Children Genetic Kidney Disease Database, CCGKDD) that covered 23 different provinces/regions in China from 2014 to 2019. Genetic causes were sought using whole-exome sequencing (WES) or targeted-exome sequencing. RESULTS A total of 379 unrelated patients (male: female 219:160) with primary VUR were recruited. Sixty-four (16.9%) children had extrarenal manifestations, and 165 (43.5%) patients showed the coexistence of other CAKUT phenotypes. Eighty-eight patient (23.2%) exhibited impaired renal function at their last visit, and 18 of them (20.5%) developed ESRD at the median age of 7.0 (IQR 0.9-11.4) years. A monogenic cause was identified in 28 patients (7.39%). These genes included PAX2 (n = 4), TNXB (n = 3), GATA3 (n = 3), SLIT2 (n = 3), ROBO2 (n = 2), TBX18 (n = 2), and the other 11 genes (one gene for each patient). There was a significant difference in the rate of gene mutations between patients with or without extrarenal complications (14.1% vs. 6%, P = 0.035). The frequency of genetic abnormality was not statistically significant based on the coexistence of another CAKUT (9.6% vs. 5.6%, P = 0.139, Chi-square test) and the grade of reflux (9.4% vs. 6.7%, P = 0.429). Kaplan-Meier survival curve showed that the presence of genetic mutations did affect renal survival (Log-rank test, P = 0.01). PAX2 mutation carriers (HR 5.1, 95% CI 1.3-20.0; P = 0.02) and TNXB mutation carriers (HR 20.3, 95% CI 2.4-168.7; P = 0.01) were associated with increased risk of progression to ESRD. CONCLUSIONS PAX2, TNXB, GATA3 and SLIT2 were the main underlying monogenic causes and accounted for up to 46.4% of monogenic VUR. Extrarenal complications and renal function were significantly related to the findings of genetic factors in children with primary VUR. Like other types of CAKUT, several genes may be responsible for isolated VUR.
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Affiliation(s)
- Jia-Lu Liu
- Department of Nephrology, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wan Yuan Road, Shanghai, 201102, People's Republic of China.,Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Qian Shen
- Department of Nephrology, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wan Yuan Road, Shanghai, 201102, People's Republic of China.,Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Ming-Yan Wu
- Department of Nephrology, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wan Yuan Road, Shanghai, 201102, People's Republic of China.,Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Guang-Hua Zhu
- Department of Nephrology, Shanghai Children's Hospital, Shanghai, China
| | - Yu-Feng Li
- Department of Pediatric Nephrology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao-Wen Wang
- Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao-Shan Tang
- Department of Nephrology, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wan Yuan Road, Shanghai, 201102, People's Republic of China.,Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Yun-Li Bi
- Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China.,Department of Urology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Yi-Nv Gong
- Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China.,Department of Rheumatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Jing Chen
- Department of Nephrology, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wan Yuan Road, Shanghai, 201102, People's Republic of China.,Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Xiao-Yan Fang
- Department of Nephrology, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wan Yuan Road, Shanghai, 201102, People's Republic of China.,Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Yi-Hui Zhai
- Department of Nephrology, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wan Yuan Road, Shanghai, 201102, People's Republic of China.,Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Bing-Bing Wu
- Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China.,Clinical Genetic Center, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Guo-Min Li
- Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China.,Clinical Genetic Center, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Yu-Bo Sun
- Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China.,Department of Urology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Xiao-Jie Gao
- Department of Nephrology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - Cui-Hua Liu
- Department of Nephrology and Rheumatology, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou Key Laboratory of Pediatric Kidney Disease Research, Zhengzhou, China
| | - Xiao-Yun Jiang
- The First Affiliated Hospital of Zhongshan University, Guangzhou, China
| | - Sheng Hao
- Department of Nephrology, Shanghai Children's Hospital, Shanghai, China
| | - Yu-Lin Kang
- Department of Nephrology, Shanghai Children's Hospital, Shanghai, China
| | - Ying-Liang Gong
- Department of Pediatric Nephrology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li-Ping Rong
- The First Affiliated Hospital of Zhongshan University, Guangzhou, China
| | - Di Li
- Department of Nephrology and Rheumatology, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou Key Laboratory of Pediatric Kidney Disease Research, Zhengzhou, China
| | - Si Wang
- Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Duan Ma
- Key Laboratory of Metabolism and Molecular Medicine, Ministry of Education, Department of Biochemistry and Molecular Biology, Institutes of Biomedical Sciences, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Jia Rao
- Department of Nephrology, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wan Yuan Road, Shanghai, 201102, People's Republic of China.,Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Hong Xu
- Department of Nephrology, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wan Yuan Road, Shanghai, 201102, People's Republic of China. .,Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China.
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Shen Q, Fang X, Zhai Y, Rao J, Chen J, Miao Q, Gong Y, Yu M, Zhou Q, Xu H. Risk factors for loss of residual renal function in children with end-stage renal disease undergoing automatic peritoneal dialysis. Perit Dial Int 2020; 40:368-376. [PMID: 32063214 DOI: 10.1177/0896860819893818] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND This study analysed children with end-stage renal disease treated with automated peritoneal dialysis (APD) in our centre to explore the risk factors associated with residual renal function (RRF) loss. METHODS Children treated with APD as the initial renal replacement therapy regimen from January 2008 to December 2016 were included. All the children had a daily urine volume of ≥100 ml/m2 when APD was initiated and a dialysis follow-up time of ≥12 months. A daily urine volume of <100 ml/m2 after 12 months of APD treatment was defined as loss of RRF. Possible risk factors that may be associated with RRF loss were analysed. RESULTS A total of 66 children were included in the study. After 12 months of APD treatment, the daily urine volume decreased by 377.45 ± 348.80 ml/m2, the residual glomerular filtration rate decreased by 6.39 ± 3.69 ml/min/1.73 m2 and 29 of the patients (43.9%) developed RRF loss. The higher risk of RRF loss after 1 year of APD treatment was most pronounced in patients with daily urine volume of ≤400 ml/m2 before treatment, higher glucose exposure and higher ultrafiltration volume, while the lower risk of RRF loss was in patients with administration of diuretics. Each increase of 1 g/m2/day glucose exposure was associated with a 5% increase in RRF loss (odds ratio (OR) 1.05, p = 0.023) and each increase of 1 ml/m2/day ultrafiltration volume was associated with a 1% increase in RRF loss (OR 1.01, p = 0.013). CONCLUSION In children undergoing APD, the risk for loss of RRF is associated with low urine volume at the start of APD, high glucose loading and high peritoneal ultrafiltration volume, while preservation of RRF is associated with the usage of diuretics.
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Affiliation(s)
- Qian Shen
- Department of Nephrology, Children's Hospital of Fudan University, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - XiaoYan Fang
- Department of Nephrology, Children's Hospital of Fudan University, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - YiHui Zhai
- Department of Nephrology, Children's Hospital of Fudan University, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Jia Rao
- Department of Nephrology, Children's Hospital of Fudan University, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Jing Chen
- Department of Nephrology, Children's Hospital of Fudan University, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - QianFan Miao
- Department of Nephrology, Children's Hospital of Fudan University, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - YiNv Gong
- Department of Nephrology, Children's Hospital of Fudan University, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - MingHui Yu
- Department of Nephrology, Children's Hospital of Fudan University, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Qing Zhou
- Department of Nephrology, Children's Hospital of Fudan University, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Hong Xu
- Department of Nephrology, Children's Hospital of Fudan University, Shanghai Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
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