1.Pathogens Causing Chronic Prostatitis and Their Distribution and Resistance
Bangshi XIA ; Zhonghai SHEN ; Ping CHEN ; Boqing LIANG ; Hongsong MA
Chinese Journal of Nosocomiology 2006;0(03):-
0.05).(3) The ratio of meticillin-resistant staphylococci was 91.5%.The ratio of resistance of staphylococci to(gentamicin),(erythromycin),ciprofloxacin and tetracycline was all above 50%,but was low to(nitrofurantoin) and rifampin.In 12 strains of Enterococcus faecalis,3 strains were VRE;8 resisted to high-level gentamicin;6 resisted to high-level streptomycin;the resistance rate to tetracycline,ciprofloxacin,rifampin and(erythromycin) ranged from 58.3% to 100.0%.In E.coli,8 of 14 isolates were positive for ESBLs.The resistance was high to usual antibiotics except imipenem,amikacin and Tazocillin.CONCLUSIONS Bacteria are the main pathogens of chronic prostatitis and terribly resist to clinical usual antibiotics.Infection with Uu,Mh and Ct should not be(ignored).It is necessary to diagnose and treat chronic prostatitis according to the results of pathogen(isolation) and drug sensitivity test.
2.Diet enriched in monounsaturated fatty acids improves insulin sensitivity in adults with normal glucose tolerance by relieving oxidative stress
Ping LI ; Guangyao SONG ; Yazhi ZHAO ; Mingming ZHANG ; Boqing MA ; Yong TANG
Chinese Journal of Endocrinology and Metabolism 2010;26(10):863-865
Twenty healthy subjects in each of 3 groups were fed with monounsaturated fatty-acid diet,polyunsaturated fatty-acid diet, or saturated fatty-acid diet separately for 3 days. It suggested that monounsaturated fatty-acids may ameliorate the oxidative stress and improve insulin sensitivity.
3.ALTERATION IN ENTEROCYTE GENE EXPRESSION MAY EXPLAIN STRUCTURAL AND FUNCTIONAL CHANGES FOLLOWING GLUTAMINE SUPPLEMENTED PARENTERAL NUTRITION
Zhuming JIANG ; Yuewu LIU ; Yongxian MA ; Manxi BAI ; Boqing QIANG ; Smith ROBERT ; Souba WLLEY ; Wilmore DOUGLAS
Chinese Medical Sciences Journal 1999;14(2):112-116
Following extensive bowel resection, the intestinal tract undergoes a variety of adaptive responses to enhance bowel function. The purpose of this study was to determine the effect of glutamine-supplemented parenteral nutrition on mucosal cellularity and gut function. In addition, enterocyte gene expression of two relevant systems was also characterized and related to the structural and functional changes that occurred.Male Wistar rats underwent a 60% small bowel resection and jugular vein catheterization and were randomized into two groups. The control group (n=10) received a standard intravenous nutritional solution and the study group (n=10) received a similar solution but enriched with alanylglutamine dipeptide. After 7 days blood was taken for amino acid analysis, and bowel was harvested to determine mucosal morphology and expression of mucosal cell glutaminase and IGF-I mRNA. Mesentery lymphnodes were cultured to determine the presence of bacteria and thus access bacteria translocation. Serum glutamine concentration and mucosal architecture were maintained in the study group compared to the controls. Seventy percent of lymphnodes were cultured positive in control vs. only 20% in the study group (P<0.05). Jejunal mucosal glutaminase and ileum mucosal IGF-I mRNA increased twofold and threefold respectively compared to control animals.Parenteral nutrition supplemented with alanyl-glutamine dipeptide supports mucosal cellularity and regional immune function in rodents following intestinal resection, These alterations are associated with enhanced enterocyte expression of glutaminase and IGF-I. These changes may facilitate the structural and functional alterations which were observed in the glutamine treated animals.
4.Analysis of the molecular mechanism of pancreatic islet ischemic injury and identification of core transcription factors based on single-cell transcriptomics
Boqing DONG ; Ying WANG ; Chenge WANG ; Huanjing BI ; Jingwen WANG ; Ruiyang MA ; Jin ZHENG ; Wujun XUE ; Xiaoming DING ; Yang LI
Organ Transplantation 2024;15(6):920-927
Objective To explore the molecular mechanisms and cell-cell interactions in the injury process of pancreatic islet transplantation.Methods Single-cell transcriptome data from mouse islets treated with inflammatory factors were used,and data processing was performed using the Seurat package,with integrated data to remove batch effects.Cell subpopulations were annotated based on known markers.Cell-cell interactions in the inflammatory factor-treated group were analyzed using the CellChat package,and inferred based on the expression of cell surface receptors and ligands.Gene set enrichment analysis was used to clarify the biological processes enriched in β-cells after treatment with inflammatory factors.Finally,differentially expressed transcription factors were identified and verified using microarray datasets of donor islet ischemic injury and Western blotting.Results A total of 7 different cell subpopulations were found in mouse islets,with β-cells being the most abundant.Cell-cell interaction network analysis showed that the number and strength of interactions between ductal cells and other cells were the highest.Gene set enrichment analysis showed that after treatment with inflammatory factors,the immune response was positively enriched in β-cells,while peptide hormone metabolism,bile acid metabolism,and ion homeostasis were downregulated.The common differential transcription factors identified in the mouse single-cell transcriptome and the microarray dataset of donor islet ischemic injury were early growth response 1(EGR1),nuclear factor-κB inhibitor α(NFKBIA),and activating transcription factor 3(ATF3).Among them,NFKBIA and ATF3 were upregulated,while EGR1 was downregulated.The expression of EGR1 protein was downregulated after 24 h,48 h,and 72 h of cold ischemia.Conclusions EGR1 is a transcription factor closely related to islet cold ischemia,and future research should focus on the specific mechanisms of EGR1 and its downstream target genes,in order to provide more effective strategies for clinical treatment of islet transplantation.
5.Analysis of the nonlinear relationship between hypothermic machine perfusion parameters and delayed graft function and construction of an optimized predictive model based on sampling algorithms
Boqing DONG ; Chongfeng WANG ; Yuting ZHAO ; Huanjing BI ; Ying WANG ; Jingwen WANG ; Zuhan CHEN ; Ruiyang MA ; Wujun XUE ; Yang LI ; Xiaoming DING
Organ Transplantation 2025;16(4):582-590
Objective To analyze the nonlinear relationship between hypothermic machine perfusion (HMP) parameters and delayed graft function (DGF) and optimize the construction of a predictive model for DGF. Methods The data of 923 recipients who underwent kidney transplantation from deceased donors were retrospectively analyzed. According to the occurrence of DGF, the recipients were divided into DGF group (n=823) and non-DGF group (n=100). Donor data, HMP parameters and recipient data were analyzed for both groups. The nonlinear relationship between HMP parameters and the occurrence of DGF was explored based on restricted cubic splines (RCS). Over-sampling, under-sampling and balanced sampling were used to address the imbalance in the proportion of DGF to construct logistic regression predictive models. The area under the curve (AUC) of each model was compared in the validation set, and a nomogram model was constructed. Results Donor BMI, cold ischemia time of the donor kidney, and HMP parameters (initial and final pressures, resistance, and perfusion time) were significantly different between the DGF and non-DGF groups (all P<0.05). The RCS analysis revealed a threshold-like nonlinear relationship between HMP parameters and the risk of DGF. Among the models constructed using different sampling methods, the balanced sampling model had the highest AUC. Using this model, a nomogram was constructed to stratify recipients based on risk scores. Recipients in the high-risk group had higher serum creatinine levels at 1, 6, and 12 months after kidney transplantation compared to those in the low-risk group (all P<0.05). Conclusions There is a nonlinear relationship between HMP parameters and the risk of DGF, and the threshold is helpful for organ quality assessment and monitoring of graft function after transplantation. The predictive model for DGF constructed on the base of balanced sampling algorithms helps perioperative decision-making and postoperative graft function monitoring of kidney transplantation.