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Featured researches published by Hongwei Bai.
Transplant Immunology | 2008
Zhen Wang; Li Xiao; Bingyi Shi; Yeyong Qian; Hongwei Bai; Jing-Yuan Chang; Ming Cai
CD4(+)CD25(high) T cells named regulatory T (Treg) cells are generated and play a key role in the induction and maintenance of transplant tolerance in organ recipients. Interleukin-2 (IL-2) enhance the development of effector cells and is essential for generation of Treg cells. The effect of the anti-CD25 monoclonal antibody (anti-CD25mAb) induction therapy on the neogenetic CD4(+)CD25(high)Treg cells is important for therapeutic strategies in kidney transplant. To clarify the question, a prospective study was conducted in 21 living donor kidney transplant recipients who randomly divided into the anti-CD25mAb group (Daclizumab) with 11 patients and the control group with 10 patients. The frequency of CD4(+)CD25(high)Treg cells in total CD4(+) T cells was analyzed by flow cytometry and FoxP3 expression by RT-PCR in peripheral blood, and results were compared at day 0, 3, 13, 17, 27 posttransplantation. There was no significant difference in patient characteristics and allograft survival. The present study showed that in vivo antigen-specific Treg cells population were generated and expanded after transplant. Both groups showed a significant increase in the frequency of CD4(+)CD25(high)Treg cells and higher level of FoxP3 mRNA after transplantation while the serum creatinine declined. Compared with the control group, recipients with anti-CD25mAb injection had significantly lower percentage of CD4(+)CD25(high) in total CD4(+) cells (1.13%+/-0.13% vs 1.94%+/-0.22%, P=0.00; 3.75%+/-0.28% vs 7.11%+/-0.51%, P=0.00) on day 3, 17 after transplantation. While, the percentage was not significantly different on day 10, 27 (3.72%+/-0.19% vs 4.36%+/-0.28%, P=0.08; 7.84%+/-0.35% vs 8.56%+/-0.36%, P=0.16). However, there was not obvious difference in Foxp3 expression level associated with the source of the CD4(+)CD25(high)Treg cells at the different time point after transplant. Our data indicated that CD4(+)CD25(high)Treg cells were transiently affected by anti-CD25mAb, without depletion. In conclusion, the short-term treatment with anti-CD25mAb might not prevent the production, proliferation of neogenetic Treg cells in organ transplant.
Archives of Surgery | 2012
Gang Li; Yeyong Qian; Hongwei Bai; Zhigang Song; Bao-Fa Hong; Jinfeng Jia; Bingyi Shi; Xu Zhang
OBJECTIVES To study the clinical anatomy of the transversalis fascia (TF) and to explore the intertransversalis fascia approach in urologic laparoscopic operations (ULOs). DESIGN Prospective study. SETTING Two academic hospitals. OTHER PARTICIPANTS Data from 1217 urologic laparoscopic or open operations and 10 laparoscopic hernia repairs were analyzed between January 1, 2009, and April 30, 2011. Findings from 3 fresh autopsies were also included. MAIN OUTCOME MEASURES The anatomy of the TF was studied and the intertransversalis fascia approach was explored in ULOs; furthermore, they were proved in the open operations and fresh autopsies. Photographs were taken from the intertransversalis fascia approach in ULOs, micrographs were obtained to examine the microscopic structure of the TF, and the color atlas of TF anatomy (cross and sagittal sections) was drawn. RESULTS The TF is a general plane of connective tissue lying between the inner surface of the transversus abdominis and the extraperitoneal fat. It can be divided into 2 layers (superficial and deep), with an amorphous fibroareolar space between them. The intertransversalis fascia approach in ULOs is the approach between the 2 layers of the TF. CONCLUSIONS The intertransversalis fascia approach is described for the first time, to our knowledge. Surgeons can obtain a clean, clear, and bloodless operating space in ULOs using the intertransversalis fascia approach.
PLOS ONE | 2013
Hongwei Bai; Yeyong Qian; Bingyi Shi; Gang Li; Yu Fan; Zhen Wang; Ming Yuan; Lupeng Liu
Background Several case-control studies and cohort studies have investigated the association between fish intake and renal cancer risk, however, they yielded conflicting results. To our knowledge, a comprehensive assessment of the association between fish consumption and risk of renal cancer has not been reported. Hence, we conducted a systematic literature search and meta-analysis to quantify the association between fish consumption and renal cancer. Methods A systematic search was performed using the PubMed, Embase, and Cochrane Library Central database for case-control and cohort studies that assessed fish intake and risk of renal cancer. Two authors independently assessed eligibility and extracted data. Fixed-effect and random-effect models were used to estimate summary relative risks (RR) and the corresponding 95% confidence intervals (CIs). Subgroup analyses, sensitivity analysis and cumulative meta-analysis were also performed. Results A total of 12 case-control studies and three cohort studies published between 1990 and 2011 were included in the meta-analysis, involving 9,324 renal cancer cases and 608,753 participants. Meta-analysis showed that fish consumption did not significantly affect the risk of renal cancer (RR=0.99, 95% CI [0.92,1.07]). In our subgroup analyses, the results were not substantially affected by study design, region, gender, and confounder adjustments. Furthermore, sensitivity analysis confirmed the stability of results. Conclusions The present meta-analysis suggested that there was no significant association between fish consumption and risk of renal cancer. More in-depth studies are warranted to report more detailed results, including stratified results by fish type, preparation method, and gender.
Tumori | 2014
Yu-gang Zhao; Bingyi Shi; Yeyong Qian; Hongwei Bai; Li Xiao; Xiuyun He
Aims and background Despite elaborate characterization of the risk factors, bladder cancer is still a major epidemiological problem whose incidence continues to rise each year. We aim to investigate the dynamic expression changes between non-muscle-invasive bladder cancer (NMIBC) and muscle-invasive bladder cancer (MIBC). Methods The gene expression profile GSE13507 was obtained from the Gene Expression Omnibus, and the R package was used to identify gene expression signatures (GESs) between NMIBC and MIBC. Gene ontology enrichment analysis was performed for GES function analysis. We used miRTarBase and TargetScan to identify the differentially regulated microRNAs, and TfactS to identify transcription factors between NMIBC and MIBC. Bionet was used to identify the differentially expressed subnetwork. Results A total of 802 upregulated NMIBC GESs and 668 downregulated MIBC GESs were identified. Functional enrichment analysis revealed that the MIBC GESs were majorly involved in cell cycle and inflammatory response. miR-29c and miR-9 were regarded as key microRNAs in MIBC. SMAD3 in MIBC and SMAD5 and SMAD7 in NMIBC were potential activated transcription factors. In addition, a subnetwork that was considered to capture the differences between MIBC and NMIBC was identified, of which GRB2 and UBC were the hub nodes. Conclusions Some key microRNAs, activated transcription factors and hub nodes have been identified in this study, which may be used as potential biomarkers or targets for the diagnosis, treatment and detection of bladder cancer at different stages.
Journal of Clinical Immunology | 2013
Xiaoguang Xu; Haiyan Huang; Ming Cai; Yeyong Qian; Zhouli Li; Hongwei Bai; Yong Han; Li Xiao; Wenqiang Zhou; Xinying Wang; Bingyi Shi
Digestive Diseases and Sciences | 2009
Li-ping Chen; Ming Cai; Qi-Hao Zhang; Zhouli Li; Yeyong Qian; Hongwei Bai; Xing Wei; Bingyi Shi; Jia-Hong Dong
International Urology and Nephrology | 2014
Yu-gang Zhao; Bingyi Shi; Yeyong Qian; Hongwei Bai; Li Xiao; Xiuyun He
Annals of Clinical and Laboratory Science | 2013
Xinying Wang; Xiaoguang Xu; Haiyan Huang; Ming Cai; Yeyong Qian; Zhouli Li; Hongwei Bai; Yong Han; Li Xiao; Wenqiang Zhou; Meimei Chen; Bingyi Shi
Clinical and Experimental Nephrology | 2015
Hongwei Bai; Yeyong Qian; Bingyi Shi; Zhen Wang; Gang Li; Yu Fan; Ming Yuan; Lupeng Liu
Medical Journal of Chinese People's Liberation Army | 2013
Chao Zhang; Bingyi Shi; Zhen Wang; Yeyong Qian; Jing-Yuan Chang; Hongwei Bai; Yu Fan; Lupeng Liu