Objective To investigate the therapeutic mechanism of umbilical cord mesenchymal stem cell(UC-MSCs)trans-plantation for the graves disease(GD)mice .Methods Thirty two mice were divided into 3 groups as following :normal control group (G0) ,GD control group (G1) ,UC-MSCs group(G2) .Enzyme linked immunosorbent assay(ELISA)was used to measure the level of TSAb in blood serum and the expression of FT4 was measured by chemiluminescence .Thyroid sections were stained with hema-toxylin and eosin(HE)for histological examination .Splenocytes were stained with multicolor immunofluorescence and detected by flow cytometry to analyze the percentages of CD1dhiCD5+CD19+ regulatory B cells(Bregs) .Expressions of IL-10 and TGF-βmR-NA in spleen organization were measured by Real-time PCR .Results At 26 weeks ,the level of TSAb in blood serum in G2 was more significantly decreased than in G1(P<0 .05) ,and the level of CD19+ B in spleen in G2 was also more significantly decreased than in G1(P<0 .05) ,however ,the percentage of CD1dhiCD5+CD19+ Bregs splenocytes and the levels of IL-10 and TGF-βmRNA in spleen organization were more significantly increased than in G1(P<0 .05) .The concentration differences of TSAb in serum was negatively correlated with the percentage differences of CD1dhi CD5+ CD19+ Bregs ,however ,positively correlated with the expres-sion differences of IL-10 and TGF-βmRNA in spleen before and after transplantation .Conclusion Activation of Bregs may be one of the mechanisms of UC-MSCs therapeutic effect on GD mice .

Objective To investigate the in vivo effects of artesunate (ART) treatment on OAZ gene expressions in MRL/lpr lupus mice.Methods Twenty-four 12-week-old female MRL/lpr lupus mice were randomly divided into two groups by the random number table,i.e.,the lupus control group and the ART treatment group,12 in each group.Besides,another 8 BABL/C mice were recruited as the normal control group.Peripheral blood mononuclear cells (PBMC) were collected from lupus mice before treatment as well as 4 week and 8 week after treatment,and RNA was extracted and reverse transcripted to cDNA.mRNA expression levels of OAZ and Id1-3 were measured by using real-time polymerase chain reaction (PCR),and the data between the two groups were analyzed by t test,a plurality of samples were compared with the single factor analysis of variance.Serum levels of IFN-γ,IL-4,BAFF and ANA were tested by enzyme-linked immunosorbent assay (ELISA).Relationships of the gene expression levels with levels of cytokines and ANA were analyzed.Statistical analysis were uising t test,ANOVA and LSD-t test.Results mRNA expression levels of OAZ,Id1 and Id3 gene (△Ct:12.9±0.8,12.0±0.4,10.2±0.8) in lupus mice were significantly different from 8 weeks after the treatment comparing to those in the lupus control group (△Ct:9.8±1.0,9.3± 1.1,8.1±0.8) and the normal control group (△Ct:13.9±1.2,11.4±0.7,4.7±0.8,10.3±1.0)(F=7.46,P=0.008; F=6.37,P=0.032; F=5.63,P=0.042),and alteration of OAZ mRNA expression levels before and after the treatment were positively correlated with changes of Id1,Id3 levels (r=0.867,0.947; P＜0.05),and levels of IL-4 and ANA were significantly lower 8 weeks after the treatment than those in the lupus control group (P＜0.05); while level of IFN-γwas higher than those in the lupus control group (P＜0.05).Alteration of OAZ mRNA expression levels before and after the treatment were negatively correlated with changes of ANA,BAFF levels (r=-0.955,r=-0.937; P＜0.05) and positively correlated with changes of Th1/Th2 levels (r=0.976,P＜0.01).Conclusion The expression of genes involving in the OAZ and downstream gene are effectively reduced along with the alteration of several cytokines and ANA after ART treatment.OAZ signaling pathway can play an important role in ART treatment for SLE.

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.