Exosomes are a subpopulation of extracellular vesicles ranging in size from 30 to 150 nm. They contain a variety of biological molecules including proteins, lipids, and genetic materials by which they can act as mediators of cell-to-cell communication. Increasing studies on exosomes have elucidate the mechanism of communication between immune cells. Mast cells are found to release exosomes in both resting and activated states, but the quantity, contents and functions of the exosomes are significantly different in different states. Mast cell-derived exosomes are involved in the maturation and antigen presentation of dendritic cells, and mediate the activation of T lymphocytes and the polarization of macrophages. These results provide new insights into the role of exosomes in mast cell function and immune regulation.

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.

Objective To investigate the expression profile variation of long non-coding RNAs (lncRNAs) in ankylosing sporidylitis (AS) and explore the role of lncRNAs in the pathogenesis of AS.Methods The peripheral blood mononuclear cells of AS patients and health controls (HC) were used to detect for differently expressed lncRNAs by microarray.The roles of lncRNAs were predicted with GO and pathway analysis.The results were verified by real time-polymerase chain reaction (PCR).Results A total of 148 lncRNAs and 134 mRNAs were detected,which had more than 2-fold differentially expressed in AS patients.Bioinformatics analysis found that GO term enrichment included protein binding,regulation of transcription,metabolism,signal transduction,et al.and might involve in toll-like receptor pathway,protein kinase,complement pathway,notch signaling pathway and so on.The expressions of three lncRNAs were estimated by real time-PCR which found that consistent with that of microarrays.Among these,D90064 was the most aberrantly expressed lncRNAs.Conclusions Several lncRNAs expression was changed significantly in AS patients in comparison with HC,which implies that those different lncRNAs may have an important role in the development and progression of AS.

Objective This study is aimed to evaluate the association between the ABCG2 gene rs2231142 variant and gout using meta-analysis. Methods Related studies were identified by searching extensively in Chinese and foreign language databases such as Pubmed, EMBASE, Cochrane Library, CBMdisc databases and so on. The quality of included studies was assessed by using the Newcastle-Ottawa Scale (NOS). The odds ratio (OR) was calculated using a random-effects or fixed-effects model. A Q statistic was used to evaluate the heterogeneity, and Eggerˊs test and funnel plot were used to assess publication bias. Sub-group analyses on ethnicities and sex were also performed. Results A total of 10 studies, including 3 478 gout patients and 10,089 controls from 6 countries or regions, were included and identified for the current metaan-alysis. It was found that the A allele or AA genotype of the ABCG2 rs2231142 polymorphism had an increased risk for gout in the general population [A allele: OR=2.03, 95%CI (1.77, 2.34), P<0.01 and AA genotype: OR=3.01, 95%CI (2.34, 3.88), P<0.01, respectively]. Similar results were found in sub-group analyses of different gender and races. Conclusion Existing evidence indicate that rs2231142 polymorphism (the A allele and AA genotype) is associated with increased risk of gout.

Objective To investigate the single nucleotide polymorphisms(SNPs) rs3733591(C>T) of SLC2A9 gene in Chinese Han population, and to explore the association of this gene polymorphisms with gout susceptibility, tophi, serum uric acid levels, other clinical and laboratory data and the levels of SLC2A9 mRNA of peripheral blood mononuclear cells(PBMCs). Methods ① A total of 297 primary gout arthritis patients(GA) and 211 normal controls(NC) were enrolled into this study. The clinical and laboratory data of patients were collected. The genotypes and alleles frequencies were measured by using TaqMan ?SNP Geno-typing Assays and the possible association between gene polymorphism of SLC2A9 and gout was investigated by Chi-square test. The odds ratios(OR) and 95% confidence intervals(95%CI) were calculated. ② The lev-els of SLC2A9 mRNA on PBMCs of 86 gout patients(46 patients in remission) and controls were measured by real-time quantitative polymerase chain reaction (RT-qPCR). The nonparametric test was used to analyze the expression in different groups. Results The frequencies of genotypes and alleles of rs3733591(C>T) in gout patients were different from controls(P<0.05). The frequency of TT genotype was significantly lower than that in controls (P<0.05) and the relative risk of this genotype to develop gout was 0.647 (95%CI: 0.452-0.925). Moreover, the frequency of T allele in cases was much lower than in controls (60.9% vs 69.2%, χ2=7.324, P=0.007, OR=0.695), but the frequency of C allele was much higher(39.1% vs 30.8%, χ2=1.440, P=0.007, OR=1.440). Interestingly, the levels of SLC2A9 mRNA on PBMCs in gout patients who carried TC genotype of rs3733591 was higher than those who carried TT genotype(P<0.05). There was no difference in the expression of SLC2A9 mRNA on PBMCs among different genotype carriers of rs3733591 in controls (P>0.05). However, there was no significant difference in the distribution of genotypes and alleles between 30 tophaceous gout patients and 190 non-tophaceous gout patients(P>0.05). Conclusion Results of present study suggest the rs3733591(C>T) polymorphism of the SLC2A9 gene might be associated with gout development, but not with tophaceous gout. The C allele predisposes to gout, and TT genotype and T allele might protect Chinese Han population from developing gout. The rs3733591(C>T) polymorphism probably affects the susceptibility to gout by influencing the f expression of SLC2A9 mRNA susceptibility.

BACKGROUND:Experiments have shown that the col agen substrate has the capability of stimulating cartilage generation, but the stimulating role of different types of col agen substrates remains controversial. OBJECTIVE:To investigate the effect of type I and type II col agen on the biological characteristics of human chondrocytes cultured in vitro. METHODS:Human chondrocytes at passage were cultured onto the ordinary culture plates (ordinary plate), type I col agen-coated culture plates (type I plate), and type II col agen-coated culture plates (type II plate). cellgrowth curves were determined by MTT method after cells were cultured for 10 days. By ELISA, PCR, and 1,9-dimethyl methyleneblue technology, type I and type II col agen and glycosaminoglycan contents were quantitatively detected in cartilage cells 28 days after culture. RESULTS AND CONCLUSION:The number of cartilage cells was the highest in type II plate, which was twice of that in type I plate and five times of that in ordinary plate. Cartilage cells in type II plate secreted the least amount of type I col agen, which showed significant differences compared with the ordinary plate (P<0.01) and had no statistical y significant difference with type I plate (P>0.01). Cartilage cells in type II plate secreted the most amount of type II col agen and glycosaminoglycan, showing significant differences compared with the other two plates (P<0.01). The cartilage cells cultured in col agen plates are better than that cultured in ordinary culture plate, type II col agen culture plate is better than type I col agen culture plate in maintaining cellshape, extending the dedifferentiation pattern, and promoting celldifferentiation.

Objective To analyze the infection status and variation tendency of chlamydia trachomatis (CT) ,Neisseria gonorrhoe-ae(NG) and ureaplasma urealyticum(UU) in female genital tract in northeast Sichuan province during 2005 -2012 to provide the laboratory basis for their diagnosis and treatment Methods The real-time fluorescent quantitative PCR (RT-PCR) was applied to detect the CT DNA ,NG DNA and UU DNA in 1 386 samples from female genital tract and the detection results were performed the statistical analysis .Results The total positive rate of these 3 kinds of pathogens was 62 .8% (871/1 386) .Among the simple in-fection ,UU had the highest positive rate(48 .0% ,665/1 386);the positive rates of CT and NG were only 2 .2% .In the mixed infec-tion ,the positive rate of CT + UU was highest(6 .5% ,90/1 386) ,while which of UU + NG ,CT + NG and CT+ NG+ UU was 2 .5% (35/1 386) ,0 .4% (5/1 386) and 1 .1% (15/1 386) respectively .In different age groups ,the positive rate in the age <20 years old group was 49 .3% ,while which in the age >20 years old groups were all more than 60% .The positive rate of the CT ,NG and UU pathogens in females was in continuous high level during 2005 -2012 ,and which totally showed an increasing tendency . Conclusion CT and UU are the main pathogens in female genital tract infection in this region ,and the positive rate of genital tract infection in females aged more than 20 years is higher ,the infection rate of these 3 kinds of pathogens demonstrates the increasing trend year by year ,so more attention should be paid to the detection of CT and UU in this group for guiding the clinicians to con-duct the diagnosis and treatment .

Objective To measure the level of androgen receptor (AR) mRNA in peripheral blood monocytes (PBMCs) and serum testosterone level of patients with gouty arthritis (GA) and healthy controls (HC),and to explore the role of testosterone and AR in the pathogenesis of GA.Methods Chemilluminescence was used to detect the level of serum testosterone in GA [including 119 acute GA (AGA) and 60 nonacute GA (NAGA) patients] and 47 HC group.Real-time quantitative polymerase chain reaction (RT-qPCR)was used to measure AR mRNA in PBMCs from 41 GA and 35 HC.Western blotting was used to measure PBMCs AR in GA and HC for each 6 cases.One-way ANOVA,t test and Spearman's correlation were adopted for statistical analysis.Results Serum testosterone was significantly reduced in AGA and NAGA group compared to that in HC group [(6.1±1.5) ng/ml,P＜0.01,respectively],and the expression was lower in the AGA [(3.7±1.4) ng/ml] group [(4.9±2.0) ng/ml] than that in the NAGA group (P＜0.01).The level of AR mRNA and protein was much lower in the GA group than that in the HC group (P＜0.01,respectively).Negative correlations was detected between AR mRNA and uric acid in GA patients.There was negative correlation between serum testosterone and VLDL,GLU; meanwhile,positive correlation was found between serum testosterone and HDL (P＜0.05,respectively) in NAGA patients.There were no correlations between testosterone and other laboratory data.There was no correlation between AR and other laboratory data in GA patients and healthy controls (P＞0.05,respectively).Conclusion Altered expression of testosterone and its receptor may be involved in the pathogenesis of gouty inflammation.Further study will be needed to shed light on the exact role of androgen and AR in gout.

Objective To detect the distribution of SLC2A9 rs10489070 polymorphism genotypes in Chinese Han population,and to explore the association of this gene polymorphism with gout susceptibility,tophi,serum uric acid levels and other clinical and laboratory data.Methods A total of 151 primary gout patients and 176.healthy controls were enrolled into this study.The genotypes and alleles frequencies were calculated by using TaqMan(R) SNP Genotyping Assays and the possible association between gene polymorphism of SLC2A9 and gout was investigated.T test,Chi-square and Fisher exact probabilities were used for statistcal analysis.Results Genotypes distribution were in Hardy-Weinberg equilibrium in gout patients and controls (P＞0.05).The frequency of CC genotype in gout patients was significantly higher than that in the controls (78.8％ vs 68.5％,P＜0.05),aand the frequency of CG genotype in gout patients was significantly lower (19.9％ vs 30.1％,P＜0.05).However,there were no statistical differences in the alleles frequencies of C and G between gout patients and controls (P＞0.05).Interestingly,there was significant difference in the distribution of genotypes between tophaceous gout patients and non-tophaceous gout patients (P＜0.05),and the frequency of CG genolype was much lower in tophaceous gout patients (0 vs 22.7％,P＜0.05).Conclusion Results of present study suggest that rs10489070 polymorphism of the SLC2A9 gene might be associated with gout development.CC genotype predisposes to gout,and CG genotype might protect Chinese Han population from gout and tophi development.

Objective To investigate the role of adiponectin (ADP) and its receptors (ADR) in pati ents with primary gouty arthritis (GA).Methods Enzyme-linked immunosorbent assay (ELISA) was used to determine the levels of plasma ADP in 88 GA and 80 healthy controls (NC).Real time quantitative polymerase chain reaction (RT-qPCR) was employed to study the expression of ADR1 and ADR2 mRNA in peripheral blood mononuclear cells (PBMCs).The biochemical indicator of TG,HDL,LDL,VLDL,apoA1,apoB100 and uric acid (UA) were detected at the same time.T test,Spearman's correlations and regression analysis were used for statistical analysis.Results The concentration of plasma ADP was significantly lower in GA than that in NC [(6±7) μg/ml,(8±6) μg/ml,t=-3.71,P＜0.01 ],the expression of ADR1 and ADR2 mRNA in GA (ADR1:0.09±0.08,ADR2:0.0122±0.0164) was significantly increased when compared to the NC (ADR1:0.05±0.03,ADR2:0.0054±0.0024) (t=2.71,2.35,P＜0.05).In the GA patients,the level of ADP was negatively correlated with the lymphocytes count (LY) and UA (r=-0.32,-0.36,P＜0.05),and it was positively correlated with ESR and LDL level (r=0.31,0.39,P＜0.05).The expression of ADR1 mRNAwas negatively correlated with TG (r=-0.43,P＜0.05 ),but positivdy correlated with ESR and CRP level (r=0.45,0.57,P＜0.05).The expression of ADR2 mRNA was negatively correlated with glucose and UA(r=-0.50,-0.59,P＜0.05).Conclusion Altered expression of ADP and its receptors may be involved in thepathogenesis of gouty inflammation.