Object To investigate the chemical constituents from the roots of Glycyrrhiza uralensis Fisch. Methods The constituents were isolated on normal and reversed silica gel column chromatography and their structures were identified by spectral evidence. Results A new oleanane-type triterpenoid saponin and twelve known compounds, including two triterpenoid saponins, two cumarins and eight flavonoids, were isolated. Conclusion The new compound was elucidated as 3-O-[β-D-(6-methyl) glucuronopyranosyl (1→2)-D-glucuronopyranosyl]-24-hydroxy-glabrolide on the basis of ESI-MS, 1HNMR,13CNMR, HMQC and HMBC spectral evidence.

Objective To type Streptococcus pneumoniae(S.pneumoniae) isolated from children, and provide scientific basis for the correct selection of S.pneumoniae vaccine.Methods 182 strains of S.pneumoniae were collected from Children's Hospital of Hebei Province in 2014, species of strains were identified by polymerase chain reaction (PCR), types of strains were analyzed with multiplex PCR.Results PCR detection showed that cpsA gene amplification of 182 strains were all positive;multiplex PCR detection revealed that except 8 strains were not typed, the main types of the remaining 174 strains were 19 F (n=68, 37.36%), 19A(n=33, 18.13%), and 6A/6B (n=26,14.28%), the other types were 35B, 14, 6C/6D, 23F, 15B/15C, and so on.Conclusion The main types of 182 strains of S.pneumoniae are 19 F, 19A, and 6A/6B, which provide scientific basis for the correct selection of S.pneumoniae vaccine for this province.

Objective:To conduct periodic revalidation of the 15 items and 43 terms autoverification rules of blood analysis after 1 year of application, analyze the application suitability and make the rules improved.Methods:Track the results of 528 010 blood analysis samples of our hospital from August 1, 2019 to January 31, 2020, and analyze the pass rate and interception rate of autoverification; 600 specimens in total were selected randomly for microscope examination, including 300 specimens which touched autoverification rules (1 012 items of autoverification rules) and were intercepted by autoverification and 300 specimens which untouched autoverification rules and were released by autoverification. The abnormal characteristics and unacceptable Delta check of the specimens also need to be concerned at the same time.The false negative rate and false positive rate, true negative rate, true positive rate and pass correct rate of autoverification were verified and compared with the rate of the second phase verification when the autoverification rule was established. The false negative rate, false positive rate, true negative rate and true positive rate of the Delta check rule which 54 716 specimens touched were calculated and compared with the second phase verification rate when the autoverification rule was established.The results of microscopic examination were used as the gold standard for the calculation of the rates, and P<0.05 was considered as a significant difference. The false positive and true positive of 1 012 autoverification rules were analyzed item by item.The false positive and true positive of 108 specimens which touched blast cell autoverification rule were analyzed terms by terms. The mean TAT and median TAT of 528 010 specimens and 193 750 outpatient specimens were calculated respectively, and the report percentages of 528 010 samples that TAT<30, 30-60　and>60 min were calculated respectively. Analyze and evaluate the application suitability of autoverification rules to juge whether they meet the needs of doctors and laboratory. The design process and the rules and application process of autoverification were optimized and improved.Results:The autoverification pass rate was 63.06% (332 971/528 010), the interception rate was 36.94% (195 039/528 010). The false negative rate was 1.00% (1/600), the false positive rate was 12.67% (76/600), the true negative rate was 49% (294/600), the true positive rate was 37.33% (224/600), and the correct rate was 98% (294/300). The pass rate, true negative rate, true positive rate and correct rate of the periodic reverification group were higher than the second phase verification group, the false negative rate and false positive rate were lower than that the second phase verification group. The false negative rate and true positive rate of the Delta check of periodic verification group were lower than that the second phase verification group, the false positive rate and true negative rate were higher than the second phase verification group, there were significant differences in the comparition results. The mean TAT of 528 010 specimens was25 min, and the median TAT was 22 min. The mean TAT of 193 750 outpatient specimens was 23 min, and the median TAT was 20 min. The report percentages of 528 010 samples that TAT<30 min, 30 min-60 min and>60 min were 83.30% (439 819/528 010), 8.00% (42 250/528 010) and 8.70% (45 941/528 010), respectively.Conclusion:The results of periodic revalidation of autoverification after 1 years application show that the 15 items and 43 terms autoverification rules of blood analysis could meet requirements about the accuracy and efficiency of the laboratory, and have a good suitability for application.

An explicit illustration of pulmonary delivery processes (PDPs) was a prerequisite for the formulation design and optimization of carrier-based DPIs. However, the current evaluation approaches for DPIs could not provide precise investigation of each PDP separately, or the approaches merely used a simplified and idealized model. In the present study, a novel modular modified Sympatec HELOS (MMSH) was developed to fully investigate the mechanism of each PDP separately in real-time. An inhaler device, artificial throat and pre-separator were separately integrated with a Sympatec HELOS. The dispersion and fluidization, transportation, detachment and deposition processes of pulmonary delivery for model DPIs were explored under different flow rates. Moreover, time-sliced measurements were used to monitor the PDPs in real-time. The Next Generation Impactor (NGI) was applied to determine the aerosolization performance of the model DPIs. The release profiles of the drug particles, drug aggregations and carriers were obtained by MMSH in real-time. Each PDP of the DPIs was analyzed in detail. Moreover, a positive correlation was established between the total release amount of drug particles and the fine particle fraction (FPF) values ( = 0.9898). The innovative MMSH was successfully developed and was capable of illustrating the PDPs and the mechanism of carrier-based DPIs, providing a theoretical basis for the design and optimization of carrier-based DPIs.

Dry powder inhalers (DPIs) had been widely used in lung diseases on account of direct pulmonary delivery, good drug stability and satisfactory patient compliance. However, an indistinct understanding of pulmonary delivery processes (PDPs) hindered the development of DPIs. Most current evaluation methods explored the PDPs with over-simplified models, leading to uncompleted investigations of the whole or partial PDPs. In the present research, an innovative modular process analysis platform (MPAP) was applied to investigate the detailed mechanisms of each PDP of DPIs with different carrier particle sizes (CPS). The MPAP was composed of a laser particle size analyzer, an inhaler device, an artificial throat and a pre-separator, to investigate the fluidization and dispersion, transportation, detachment and deposition process of DPIs. The release profiles of drug, drug aggregation and carrier were monitored in real-time. The influence of CPS on PDPs and corresponding mechanisms were explored. The powder properties of the carriers were investigated by the optical profiler and Freeman Technology four powder rheometer. The next generation impactor was employed to explore the aerosolization performance of DPIs. The novel MPAP was successfully applied in exploring the comprehensive mechanism of PDPs, which had enormous potential to be used to investigate and develop DPIs.

Pharmacometabolomics has been already successfully used in toxicity prediction for one specific adverse effect. However in clinical practice, two or more different toxicities are always accompanied with each other, which puts forward new challenges for pharmacometabolomics. Gastrointestinal toxicity and myelosuppression are two major adverse effects induced by Irinotecan (CPT-11), and often show large individual differences. In the current study, a pharmacometabolomic study was performed to screen the exclusive biomarkers in predose serums which could predict late-onset diarrhea and myelosuppression of CPT-11 simultaneously. The severity and sensitivity differences in gastrointestinal toxicity and myelosuppression were judged by delayed-onset diarrhea symptoms, histopathology examination, relative cytokines and blood cell counts. Mass spectrometry-based non-targeted and targeted metabolomics were conducted in sequence to dissect metabolite signatures in predose serums. Eventually, two groups of metabolites were screened out as predictors for individual differences in late-onset diarrhea and myelosuppression using binary logistic regression, respectively. This result was compared with existing predictors and validated by another independent external validation set. Our study indicates the prediction of toxicity could be possible upon predose metabolic profile. Pharmacometabolomics can be a potentially useful tool for complicating toxicity prediction. Our findings also provide a new insight into CPT-11 precision medicine.