OBJECTIVE:To prepare theophylline pulsed suppository(TPS)and evaluate its in vitro release characteristics.METHODS:The formulation of TPS was optimized using single factor method taking the amount of base materials including poloxamer,CMC-Na,PEG 6000 and PEG 400 as factors with lag time of drug release and the accumulative drug release rate served as indexes.The accumulative drug release rates of the TPS prepared with different fillers(crude drug of theopylline,theopylline-PVP physical mixture,and the theopylline-PVP solid dispersion)were investigated.RESULTS:The optimal formulation was as follows:70% poloxamer,6% CMC-Na,12% PEG 6000,12% PEG 400;its lag time of in vitro drug release was about 4 hours and its accumulative drug release rate at 90 min reached more than 85%.The accumulative drug release rates of the suppository prepared with 3 different fillers were 58.8%,65.8% and 91%,respectively.CONCLUSION:The prepared TPS showed satisfactory pulsed release efficacy.

ObjectiveTo investigate the possible mechanism of Buzhong Yulin Decoction （补中愈淋汤） in the prevention and treatment of recurrent urinary tract infection. MethodsThe mouse models of recurrent urinary tract infection were established by uropathogenic Escherichia coli （UPEC） strain UTI89 by bladder perfusion， and the successful mouse models were randomly divided into a model group， an antibiotic group， and a low- and high-dose Buzhong Yulin Decoction group， with six mice in each group. In addition， 5 C57BL/6 mice without modelling were taken as blank group. The low- and high-dose Buzhong Yulin Decoction groups received 0.1 ml/10 g of decoction by gavage， with concentrations of 1.3 g/ml and 5.2 g/ml， respectively； the antibiotic group received 0.1 ml/10 g of levofloxacin hydrochloride solution with 5 mg/ml by gavage； the blank and model groups received 0.1 ml/10 g of distilled water by gavage. Each group was gavaged once a day for 7 consecutive days. The total number of urine marks， the number of central urine marks， and the total urine volume of the urine marks were observed by the urine marking test； HE staining was used to observe the histopathological changes in the bladder of mice； serum levels of the inflammatory factors interleukin 1β （IL-1β）， interleukin 6 （IL-6） and tumour necrosis factor α （TNF-α） were detected by ELISA； the morphology of the epithelial cells of bladder was observed by scanning electron microscopy； immunofluorescence assay to detect bladder tissue anti-UroPlakin 3A protein level and UPEC bacterial load； the spread plate method to detect urinary bacterial load and bacterial load of bladder epithelial cells； RT-PCR method to detect Ras-related protein Rab-11A （RAB11A） and Ras-related protein Rab-27B （RAB27B） mRNA level in bladder tissue； immunoblotting to detect microtubule-associated protein 1 light chain3 （LC3） and P62 protein levels in bladder tissue. ResultsCompared with the blank group， the bladder epithelial cell layers were lost and showed abnormal morphology in mice of the model group； bladder tissue UroPlakin 3A protein and RAB11A and RAB27B mRNA levels reduced， the total number of urine marks， the number of central urine marks， bladder tissue UPEC bacterial load， urinary bacterial load， bacterial load in bladder epithelial cells， serum IL-1β， IL-6， and TNF-α levels， and LC3 and P62 protein levels in bladder tissue all elevated （P＜0.05 or P＜0.01）. Compared with the model group， the bladder epithelial cell layers were intact and the morphology of epithelial cells were regular in the low- and high-dose Buzhong Yulin Decoction groups； the average surface area of bladder epithelial cells reduced， the levels of UroPlakin 3A protein and RAB11A and RAB27B mRNA in bladder tissues elevated， and total number of urine marks， the number of central urine marks， bladder tissue UPEC bacterial load， urinary bacterial load， bacterial load in bladder epithelial cells， serum IL-1β， IL-6， and TNF-α levels， and P62 protein levels in bladder tissue all reduced （P＜0.05 or P＜0.01）， but LC3 protein levels showed no statistically significant （P＞0.05）. In the antibiotic group， the bladder epithelial cells were partially missing and the morphology of epithelial cells was abnormal. Compared with the antibiotic group， the average surface area of the bladder epithelial cells in the mice increased in the low- and high-dose Buzhong Yulin Decoction groups， the bacterial load of the bladder epithelial cells decreased， and the P62 protein level of the bladder tissue decreased （P＜0.05）. When comparing between the low- and high-dose Buzhong Yulin Decoction groups， the differences in each index were not statistically significant （P＞0.05）. ConclusionBuzhong Yulin Decoction may prevent and treat recurrent urinary tract infection by repairing the bladder mucosal barrier， increasing RAB11A and RAB27B level and enhancing autophagy in bladder tissues， thereby facilitating bacterial clearance from bladder epithelial cells and reducing the bacterial load of bladder epithelial cells.

Background Public places are frequently polluted by cigarette smoking, and there is a lack of accurate, real-time, and intelligent monitoring technology to identify smoking behavior. It is necessary to develop a tool to identify cigarette smoking behavior in public places for more efficient control of cigarette smoking and better indoor air quality. Objective To construct a model for recognizing cigarette smoking behavior based on real-time indoor concentrations of PM_2.5 in public places. Methods Real-time indoor PM_2.5 concentrations were measured for at least 7 continuous days in 10 arbitrarily selected places (6 public service providers and and 4 office or other places) from Oct. to Nov. 2022 in Pudong New Area, Shanghai. Indoor nicotine concentrations were monitored with passive samplers simultaneously. Outdoor PM_2.5 concentration data were obtained from three municipal environmental monitoring stations which were nearest to each monitoring point during the same period. Mann-Whitney U test was used to compare indoor and outdoor means of PM_2.5 concentrations, and Spearman rank correlation was used to analyze indoor PM_2.5 and nicotine concentrations. An interactive plot and a random forest model was applied to examine the association between video observation validated indoor smoking behavior and real-time indoor PM_2.5 concentrations in an Internet cafe. Results The average indoor PM_2.5 concentration in the places providing public services [(97.5±149.3) µg·m⁻³] was significantly higher than that in office and other places [(19.8±12.2) µg·m⁻³] (P=0.011). The indoor/outdoor ratio (I/O ratio) of PM_2.5 concentration in the public service providers ranged from 1.1 to 19.0. Furthermore, the indoor PM_2.5 concentrations in the 10 public places were significantly correlated with the nicotine concentrations (r_s=0.969, P<0.001). Among them, the top 3 highly polluted places were Internet cafes, chess and card rooms, and KTV. The results of random forest modeling showed that, for synchronous real-time PM_2.5 concentration, the area under the curve (AUC) was 0.66, while for PM_2.5 concentration at a lag of 4 min after the incidence of smoking behavior, the AUC increased to 0.72. Conclusion The indoor PM_2.5 concentrations in public places are highly correlated with smoking behavior. Based on real-time indoor PM_2.5 monitoring, a preliminary recognition model for smoking behavior is constructed with acceptable accuracy, indicating its potential values applied in smoking control and management in public places.

Background Improper settings of outdoor smoking points in public places may increase the risk of secondhand smoke exposure among the population. Conducting research on air pollution in and around smoking spots and related influencing factors can provide valuable insights for optimizing the setting of outdoor smoking points. Objective To investigate the influence of the number of smokers at outdoor smoking points and the distance on the diffusion characteristics of surrounding air pollutants, in order to optimize the setting of outdoor smoking points. Methods Surrounding the exhibition halls in the China International Import Expo (CIIE), two outdoor smoking points were randomly selected, one on the first floor (ground level) and the other on the second floor (16 m above ground), respectively. At 0, 3, 6, and 9 m from the smoking points in the same direction, validated portable air pollutant monitors were used to measure the real-time fine particulate matter (PM_2.5) and carbon dioxide (CO₂) concentrations for consecutive 5 d during the exhibition, as well as the environmental meteorological factors at 0 m with weather meters including wind speed, wind direction, and air pressure. An open outdoor atmospheric background sampling point was selected on each of the two floors to carry out parallel sampling. Simultaneously, the number of smokers at each smoking point were double recorded per minute. The relationships between the number of smokers, distance from the smoking points, and ambient PM_2.5 and CO₂ concentrations were evaluated by generalized additive regression models for time-series data after adjustment of confounders such as temperature, relative humidity, and wind speed. Results The median numbers of smokers at smoking points on the first and second floors were 6 [interquartile range (IQR): 3, 9] and 9 (IQR: 6, 13), respectively. Windless (wind speed <0.6 m·s⁻¹) occupied most of the time (85.9%) at both locations. The average concentration of ambient PM_2.5 at the smoking points (0 m) [mean ± standard deviation, (106±114) μg·m⁻³] was 4.2 times higher than that of the atmospheric background [(25±7) μg·m⁻³], the PM_2.5 concentration showed a gradient decline with the increase of distance from the smoking points, and the average PM_2.5 concentration at 9 m points [(35±22) μg·m⁻³] was close to the background level (1.4 times higher). The maximum concentration of CO₂ [(628±23) μmol·mol⁻¹] was observed at 0 m, and its average value was 1.3 times higher than that of the atmospheric background [(481±40) μmol·mol⁻¹], and there was no gradient decrease in CO₂ concentration with increasing distance at 0, 3, 6, and 9 m points. The regression analyses showed that, taking smoking point as the reference, every 3 m increase in distance was associated with a decrease of ambient PM_2.5 by 24.6 [95% confidence interval (95%CI): 23.5, 25.8] μg·m⁻³ (23.2%) and CO₂ by 54.1 (95%CI: 53.1, 55.1) μmol·mol⁻¹ (8.6%). Every one extra smoker at the smoking point was associated with an average increase of PM_2.5 and CO₂ by 2.0 (95%CI: 1.7, 2.8) μg·m⁻³ and 1.0 (95%CI: 0.7，1.2) μmol·mol⁻¹, respectively. The sensitivity analysis indicated that, under windless conditions, the concentrations of PM_2.5 and CO₂ at the smoking points were even higher but the decreasing and dispersion characteristics remained consistent. Conclusion Outdoor smoking points could significantly increase the PM_2.5 concentrations in the surrounding air and the risks of secondhand smoke exposure, despite of the noticeable decreasing trend with increasing distance. Considering the inevitable poor dispersion conditions such as windless and light wind, outdoor smoking points are recommended to be set at least 9 m or farther away from non-smoking areas.