OBJECTIVE:To explore the characteristics of pathogens distribution of pediatric vulvovaginitis and drug resis-tance,and to provide reference for clinical drug use. METHODS:409 strains of positive routine bacteria and fungus culture were collected from 380 children with vulvovaginitis in 2014. The pathogens culture and drug sensitivity were recorded. RESULTS:The top 5 bacteria were Escherichia coli [36.67%(150/409)],Haemophilus influenzae [20.29%(83/409)],Streptococcus hemolyticus group A [13.20%(54/409)],Klebsiella pneumonia [8.80%(36/409)] and Staphylococcus aureus [5.37%(22/409)]. CONCLU-SIONS:The main pathogenic bacteria of pediatric vulvovaginitis is Gram negative bacilli,so that drug resistance should be paid at-tention to improve therapeutic efficacy when antibiotics are used in the clinic. The result of sensitivity test should be taken as basis for rational application of antibiotics in the treatment.

By means of comparative analysis and literature review,the paper identified differences of private non-profit hospitals at home and abroad in terms of their historical background,fund-raising,tax-free qualification,and governance structure.On such basis,an analysis was made on the development paths of such hospitals in China,for theoretical references and decision support for their development.

The age-related changes of serum lipid peroxide (LPO), RBC supero-xide dismutase activity (SOD) and glutathione peroxidase activity (GSH-Px), Cu, Zn and Se of blood were observed in 217 normal male persons aged 6~82. It was found that LPO increased significantly with age and SOD, GSH-Px decreased significantly in the elderly (60-70yrs). Blood Zn, Cu and Zn/Cu were highest in the childhood and lowest in the elderly. No significant change of Se with age was observed.The stepwise regression analysis showed that the factors influencing aging mainly were LPO and GSH-Px. It seems that LPO can be used as an indicator of aging.LPO was positively but GSH-Px, SOD, Zn and Cu negatively correlated with aging.

Objective This study aimed to investigate the role of pyrroloquinoline quinone (PQQ) in repairing oxidative nerve cells,and to study the antioxidant capacity of PQQ on the oxidative damage of rats caused by apolexis,as well as the effects on learning and memory abilities of apolexis rats.Methods Oxidative damage of PC12 was induced by H2O2,and the repairing rate of PQQ on oxidative PC12 cells was tested by methylthiazolyldiphenyl-tetrazolium bromide assay kit.The 18-month-old male SD rats were administered PQQ (0,10,20,40 mg/kg).After 4 weeks,Morris water maze test was used to test the learning and memory ability.After 6 weeks,serum and brain tissue related indicators and antioxidant capacity were recorded.Results The survival rate of PC12 cells increased from 59.1％ to 90.5％ with 200 nmol/L PQQ.Compared with the apolexis model group,the latency of the PQQ group (20,40 mg/kg) was shortened in the Morris water maze experiment,the swimming distance was reduced,pass-through counts were increased,and the first secure platform pass-through was reduced.Meanwhile,the levels of malondialdehyde and lipofuscin in serum and brain tissue of PQQ group decreased,the levels of superoxide dismutase,glutathione peroxidase vitality,antioxidant capacity of PQQ group (20,40 mg/kg) were enhanced.Conclusion PQQ could repair the oxidative damage of nerve cells,and it was confirmed that PQQ could play the same antioxidant effect in body and brain,and increase the learning and memory ability of apolexis rats.

Objective:To investigate the protective effect of ulinastatin on sepsis-acute kidney injury (SA-AKI) by NF-κB signaling pathway.Methods:Total of 60 mice were randomly(random number) divided into sham group, cecal ligation puncture group (CLP group) and ulinastatin treatment group (CLP+UTI group). Ulinastatin treatment group was intraperitoneally injected with ulinastatin 50 000 U/kg once a day. 24 hours after operation, five mice were sacrificed, the kidney tissues were collected to observe renal histopathology by HE staining. The macrophage infiltration was observed by immunohistochemistry. The remaining mice in each group were used to calculate the survival rate of 7-day after operation. HK-2 cells were stimulated by LPS to obtain the SA-AKI model, and the cells were divided into control group, LPS group and LPS + UTI group. CCK-8 assay was used to detect cell viability, EdU assay was used to detect cell proliferation, and JC-1 assay was used to detect mitochondrial damage. The phosphorylation degree of NF-κB was detected by western blot. Inflammatory factors concentrations of cellular supernatant were detected by ELISA assay.Results:Compared with the sham group, the kidney tissue of mice in CLP group showed that kidney pathological obvious changed, the infiltration of macrophages increased, and the survival rate of mice decreased. CLP+ UTI group reduced the pathological changes and the infiltration of macrophages, improved the survival rate of mice. Compared with control group, LPS group obviously inhibited the cells activity and proliferation of HK-2 cells, damaged the mitochondrial membrane potential of HK-2 cells. Compared with LPS group, LPS+ UTI group attenuated the phosphorylation of NF-κB, decreased the secretion of inflammatory factors, rescued the activity and proliferation of HK-2 cells, and reduced the damage of HK-2 mitochondrial membrane potential.Conclusions:Ulinastatin can reduce mitochondrial damage, inhibit the secretion of inflammatory factors and improve the function of renal tubular epithelial cells through regulating NF-κB signaling pathway.

Objective: To investigate the current status and real performance of the detection of RUNX1-RUNX1T1 fusion transcript levels and WT1 transcript levels in China through interlaboratory comparison. Methods: Peking University People’s Hospital (PKUPH) prepared the samples for comparison. That is, the fresh RUNX1-RUNX1T1 positive (+) bone morrow nucleated cells were serially diluted with RUNX1-RUNX1T1 negative (-) nucleated cells from different patients. Totally 23 sets with 14 different samples per set were prepared. TRIzol reagent was added in each tube and thoroughly mixed with cells for homogenization. Each laboratory simultaneously tested RUNX1-RUNX1T1 and WT1 transcript levels of one set of samples by real-time quantitative PCR method. All transcript levels were reported as the percentage of RUNX1-RUNX1T1 or WT1 transcript copies/ABL copies. Spearman correlation coefficient between the reported transcript levels of each participated laboratory and those of PKUPH was calculated. Results: ①RUNX1-RUNX1T1 comparison: 9 samples were (+) and 5 were (-) , the false negative and positive rates of the 20 participated laboratories were 0 (0/180) and 5% (5/100) , respectively. The reported transcript levels of all 9 positive samples were different among laboratories. The median reported transcript levels of 9 positive samples were from 0.060% to 176.7%, which covered 3.5-log. The ratios of each sample’s highest to the lowest reported transcript levels were from 5.5 to 12.3 (one result which obviously deviated from other laboratories’ results was not included) , 85% (17/20) of the laboratories had correlation coefficient ≥0.98. ②WT1 comparison: The median reported transcript levels of all 14 samples were from 0.17% to 67.6%, which covered 2.6-log. The ratios of each sample’s highest to the lowest reported transcript levels were from 5.3-13.7, 62% (13/21) of the laboratories had correlation coefficient ≥0.98. ③ The relative relationship of the reported RUNX1-RUNX1T1 transcript levels between the participants and PKUPH was not always consistent with that of WT1 transcript levels. Both RUNX1-RUNX1T1 and WT1 transcript levels from 2 and 7 laboratories were individually lower than and higher than those of PKUPH, whereas for the rest 11 laboratories, one transcript level was higher than and the other was lower than that of PKUPH. Conclusion The reported RUNX1-RUNX1T1 and WT1 transcript levels were different among laboratories for the same sample. Most of the participated laboratories reported highly consistent result with that of PKUPH. The relationship between laboratories of the different transcript levels may not be the same.