Features of peritoneal dendritic cells in the development of endometriosis.

BACKGROUND: Emerging evidence of immunological dysfunction have been described in endometriosis. Dendritic cells (DCs), one of the main antigen-presenting cells, are specialized in the initiation and modulation of the adaptive immune response. Emerging studies demonstrated both endometrial and circulating differences in DCs populations in women with endometriosis. However, the role and mechanism of peritoneal DCs in endometriosis is still unclear. The present study was undertaken to explore the features of peritoneal DCs in the pathogenesis of endometriosis. This study is beneficial to further clarify the cause of endometriosis and provide a new insight into the medical treatment for endometriosis. METHODS: The study included 12 women with endometriosis and 11 women without endometriosis. The C57BL6 mouse model of endometriosis was established by intraperitoneal injection of endometrial segments. The peritoneal DCs of endometriosis patients and mouse models were analyzed by fluorescence associated cell sorting (FACS) examination. RESULTS: Increased cell density of peritoneal DCs were observed in endometriosis patients. Moreover, the proportion of mature DCs (mDCs, CD80highCD1alow cells) in the peritoneal DCs was lower whereas the proportion of immature DCs (iDCs, CD80lowCD1ahigh cells) was increased in endometriosis patients. Similarly, the cell density of peritoneal DCs in murine models increased immediately after the injection of endometrial tissues and reached the highest level at 14 days. In addition, the proportion of mDCs (CD11chighCD80high cells) in the peritoneal DCs decreased immediately after the injection of endometrial tissues and then increased with the time until 42 days, but still lower than the control group. In contrast, the proportion of iDCs (CD11chighCD80low cells) in the peritoneal DCs showed the opposite dynamic changes. However, after treated with LPS, the mDCs proportion was significantly increased, leading to lower volume and weight of the endometriosis lesions. CONCLUSIONS: Increased level of peritoneal DCs facilitated the pathogenesis of endometriosis lesions, especially in the early stage of the disease. Furthermore, peritoneal DCs maturation played an important role in the development of endometriosis.

The predictor of pathological downgrading after radical prostatectomy in patients with biopsy-proven level 2 of grading groups / 中华泌尿外科杂志

Objective To evaluate the predictors of gleason score pathological downgrading after radical prostatectomy in patients with biopsy-proven level 2 of grading groups (Gleason Score 3 + 4 =7).Methods Data of 252 patients,diagnosed with level 2 of grading groups(Gleason score 3 + 4 =7) prostate cancer by biopsy,with subsequent laparoscopic radical prostatectomy,were retrospectively analyzed.The mean age was 64.3,ranged from 46 to 82 years.The average body mass index (BMI) was 23.2 kg/m2,ranged from 15.2 to 30.4 kg/m2.The median prostate volume,transition zone volume(TZV) and transition zone index(TZI) were 48.9 ml (30.3-73.1 ml),21.4 ml(13.5-31.2 ml) and 0.46％ (0.37％-0.58％),respectively.The median value of tPSA,fPSA and PSAD were 1.53 ng/ml(0.67-3.92 ng/ml),9.65 ng/ml (4.13-18.68 ng/ml) and 0.18 ng/(ml · cm3) [0.09-0.50 ng/ (ml · cm3)],respectively.Clinical T stage was also evaluated,including 153 (60.7％) diagnosed as T1e stage,78 (3 1.0％) diagnosed as T2 stage,and 21 (8.3％) diagnosed as T3 stage.There were 58(23.0％) with extracapsular extension,47 (18.7％) patients with seminal vesicle invasion,and 2(0.8％) with lymph node metastasis.Pathological T stage includes 112 (44.4％) diagnosed as T2 stage,55 (21.8％) diagnosed as T3a stage,35 (13.9％) diagnosed as T3b stage,and 50(19.8％) diagnosed as T4 stage.The patients were assigned Prostate ImagingReporting and Data System version 2 scores of 1,2,3,4,and 5 were 45 (17.9％),36 (14.3％),51 (20.2％),68(27.0％)and 52(20.6％),respectively.The patients were categorized into 2 groups with and without pathological downgrading,including downgrade and no downgrade group.Univariate and multivariate logistic regression analysis were done to determine the predictors of pathological downgrading.Results The patients were categorized into downgrade(n =31) and no downgrade group(n =221) of 252 patients.The pathological downgrading was identified in 31 (12.3％).The tPSA,PSAD and PI-RADS scores in patients with downgrade group which were lower than those in without downgrade group (P ＜ 0.05).The logistic regression analysis revealed PI-RADS score was the independent predictor of downgrading(OR =0.364,95％ CI 0.253-0.522,P ＜ 0.01).The area under the ROC curve of PI-RADS score was 0.810 and the diagnostic value was the best.Conclusions These findings suggested that PI-RADS scores was predictor for pathological downgrading after radical prostatectomy in patients with biopsy-proven level 2 of grading groups,reduced PI-RADS score (PI-RADS score ≤ 3) is correlated with increased pathological downgrading after radical prostatectomy.

Analysis of Arsenic Metabolites of Realgar in Rat Viscera by HPLC-ICP-MS / 分析化学

HPLC-ICP-MS method was established to separate AsB, As(Ⅲ), monmethyl arsenic ( MMA ) , dimethyl arsenic ( DMA ) and As(V) in rat viscera. Ultrasonic water bath extraction was used for sample pretreatment. Dionex IonPac AS19 anion-exchange column and 20 mmol/L (NH4)2CO3(pH=9. 7) were used to analyze arsenic species in rat liver and kidney after realgar infected. The results showed that the method was not interfered by 40 Ar35 Cl+ peak, the linear ranges for five arsenic species were all between 1 and 300 μg/L with linear coefficients more than 0. 9990, and the detection limits were between 0. 3 and 0. 5 μg/L. The relative standard deviations ( RSDs) for the determination of five species were less than 5% and the recoveries were between 83. 8% and 111. 7%. After speciation analysis, DMA, As(Ⅲ) and unknown compound 2 were found in liver;DMA, MMA, As(Ⅲ), unknown compound 1, unknown compound 2 and unknown compound 3 were found in the kidney. The results indicated that this method could be used for arsenic species analysis of realgar metabolism.