The long noncoding RNAs refers to RNA transcripts more than 200 nucleotides in length,and do not encode proteins.In the end of the 20th century,the lncRNAs were found to play crucial role in many important biological processes,including embryonic development,cell differentiation,species evolution,metabolism,and disease occurrence by the scientific community.Currently,multiple studies have indicated that long noncoding RNAs have participated in rheumatic diseases,immune response,immune cell differentiation,and dynamic balance of the immune system.Therefore,summary of the roles of lncRNAs in rheumatic diseases could be beneficial to understand the pathogenesis of autoimmune diseases.This review article attempts to highlight the recent progresses regarding IncRNAs studies and the relationship between long noncoding RNA and rheumatic diseases by taking systemic lupus erythematosus,rheumatoid arthritis,arthritis and other typical diseases as examples.

Objective:To explore the expression and clinical significance of late autophagy in per-ipheral blood mononuclear cells (PBMCs) of patients with primary gouty arthritis (GA).Methods:Peripheral blood, clinical data, and laboratory tests were collected from 30 patients with acute gout (AG), 30 patients with intermittent gout (IG), and 50 healthy controls (HC). Quantitative polymerase chain reaction (RT-qPCR) was used to detect mRNA expression levels of autophagy-related genes (ATG5, ATG12, ATG16, ATG3, ATG7, ATG10, ATG4B, LC3-2/LC3B). Measurement data conformed to normal distribution were tested using t test or analysis of variance (ANOVA), and non-normal distribution data were tested using Mann-Whitney test or Kruskal-Wallis H test. SNK was used for pairwise comparison among the three groups. Correlation between variables was tested by Spearman correlation analysis. Results:① The expression level of ATG5 mRNA,ATG12 mRNA, ATG16 mRNA, ATG10 mRNA and LC3-2 mRNA in the AG group was lower than that of the IG group and the HC group, and the expression level of the IG group was lower than that of the HC group[9.16×10 -3(6.04×10 -3, 15.00×10 -3) vs 14.48×10 -3(9.95×10 -3, 21.38×10 -3) vs 0.08×10 -3(12.21×10 -3, 42.79×10 -3), H=19.377, P<0.001; 18.89×10 -3(13.85×10 -3, 24.92×10 -3) vs 21.13×10 -3(12.11×10 -3, 28.06×10 -3) vs 33.57×10 -3(13.11×10 -3, 49.89×10 -3), H=7.545, P=0.023; 8.72×10 -3(4.96×10 -3, 13.74×10 -3) vs 10.62×10 -3(7.48×10 -3, 24.71×10 -3) vs 20.07×10 -3(11.99×10 -3, 39.56×10 -3), H=20.962, P<0.001; 1.05×10 -3(0.73×10 -3, 1.84×10 -3) vs 1.60×10 -3(0.93×10 -3, 2.58×10 -3) vs 1.69×10 -3(1.05×10 -3, 3.54×10 -3), H=8.193, P=0.017; 2.31×10 -3(1.22×10 -3, 3.53×10 -3) vs 2.78×10 -3(1.68×10 -3, 5.96×10 -3) vs 3.68×10 -3(2.00×10 -3, 5.67×10 -3) , H=7.135, P=0.028]. The expression level of ATG4B mRNA in the AG and IG group was higher than that in HC group, and there was significant difference between IG group and AG group, IG group and HC group[9.95×10 -3(6.32×10 -3, 12.23×10 -3) vs 10.86×10 -3 (8.80×10 -3, 17.03×10 -3) vs 8.07×10 -3(5.52×10 -3, 11.63×10 -3), H=8.531, P=0.014]. There was no significant difference between the ATG3 mRNA and ATG7 mRNA groups ( H=0.539, 3.739, bothall P values >0.05). ② The results of Spearman correlation analysis suggested that in patients with acute gout, ATG3 was negatively correlated with PDW and MPV ( r=-0.499, P=0.006; r=-0.463, P=0.011); ATG4B was positively correlated with HDL-C ( r=0.408, P=0.048); ATG7 was negatively correlated with GLOB ( r=-0.554, P=0.001); ATG10 was positively correlated with ALB ( r=0.412, P=0.024) and negatively correlated with Crea and hsCRP ( r=-0.459, P=0.011; r=-0.375, P=0.045); ATG12 was negatively correlated with MO ( r=-0.434, P=0.017); ATG16 was negatively correlated with ALT and AST ( r=-0.389, P=0.034; r=-0.366, P=0.047); LC3-2 was positively correlated with UA ( r=0.381, P=0.041) and negatively correlated with MPV and PDW ( r=-0.413, P=0.026; r=-0.449, P=0.015). In patients with intermittent gout, ATG3 and ATG4B were negatively correlated with apoB100 ( r=-0.555, P=0.011; r=-0.462, P=0.040); ATG5 was negatively correlated with Crea ( r=-0.456, P=0.011); ATG10 was negatively correlated with TC, LDL-C, and apoB100 ( r=-0.526, P=0.017; r=-0.556, P=0.011; r=-0.515, P=0.020). Conclusion:Autophagy is involved in the development of gout, and is correlated with ibflammatory and metabolic indicators, suggesting that autophagy is an important feature in the pathogenesis of GA.

Objective To explore the characteristics of hematological changes in patients with primary Sj(o)gren'syndrome (pSS).Methods The clinical data of 49 cases with pSS were retrospectively analyzed.Resuits The data showed that 25 patients (51%) among 49 cases had hematological changes.of which 15 cases were anaemia (31%).8(16%) were leukopenia,and 10 cases (20%) were thrombocytopenia.And 6 cases had two cell lines involved.2 cases had three cell lines involved.Twenty-three bone marrow aspirations revealed active proliferation or normal cell proliferation and the morphology of all 3 cells lines were normal.Bone marrow examination had strong positive iton stain and 15 cases with anaemia showed positive iron stain.Seven out of 10 patients with thrombocytopenia had megakaryocyte maturation defect.Conclusion Hemotologieal changes are common.and anemia is the most common findings.Cytopenia is related to autoantibodies mediated stem cell damages.but anemia iS caused by iron metabolic disturbance.while thrombocytopenia is generally due to functional impairment of megakaryocytes.

OBJECTIVE: To evaluate the efficacy and ADR of palipeddone sustained release tablet in the treatment of schizophrenia in outpatient. METHODS: Outpatients with schizophrenia treated with palipeddone sustained release tablet(observation group) in our hospital from Apr. to Sep. in 2009 were followed up and compared with those treated with risperidone(control group) during the same period. PANSS and TESS were applied to evaluate efficacy and ADR. RESULTS: The cure rates were 42.4% for control group and 49.6% for observation group. The effective rates were 74.8% for control group and 80.3% for observation group (P

Objective To explore the role of interleukin (IL)-1β in the pathogenesis of gout.Methods Real-time quantitative polymerase chain reaction (RT-qPCR) and enzyme-linked immunosorbent assay(ELISA) were used to measure the expression of IL-1β mRNA in peripheral blood mononuclear cells (PBMCs) and IL-1β in plasma samples from 120 acute gouty (AG) arthritis,70 chronic gouty (CG) arthritis,80 intercritical gouty (IG) arthritis patients and 96 healthy control subjects respectively.Results The expression of PBMCs IL-1β mRNA and plasma concentration of IL-1β were both much higher in gout patients than those in controls (P ＜ 0.01,respectively).And the plasma levels of IL-1β mRNA and IL-1β significantly increased in the AG group compared with CG and IG groups (P ＜ 0.01,respectively) and much higher in the CG group than those in the IG group.Positive correlations existed between plasma concentration of IL-1β and the levels of white blood cell,neutrophil,monocyte,erythrocyte sedimentation rate,blood uric acid,globulin and PBMCs IL-1β mRNA (P ＜ 0.01,respectively) while negative correlation between plasma IL-1β and plasma level of apolipoprotein in gout patients (P ＜ 0.05).Conclusion Elevated plasma level of IL-1β may be involved in the pathogenesis of acute and chronic gouty arthritis.

Objective To study the inner diameter and hemodynamics of ophthalmic artery(OA)and central retinal artery(CRA)in hyperuricemia by Enhance-flow(eFlow)imaging and spectral Doppler.Methods One hundred and one patients with hyperuricemia and 30 volunteers were selected,the inner diameter in eFlow imaging and the peak systolic velocities(PSV),the end diastolic velocities(EDV),the resistive index(RI)were measured,and pulsatility index(PI)of OA and CRA were measured by spectral Doppler.The 101 patients were divided into two groups according to the time of diagnosing hyperuricemia,one group had a diagnosis of hyperuricemia for more than five years and the other had such a diagnosis for less than five years.The data were compared by t-test.Then,the patients were further divided into a group of hyperuricemia combined with hypertension and the other without hypertension.The differences between the experimental group and the group of volunteers were carried out by One-way ANOVA,the comparison between two groups were analyzed with SNK.Results The RI(0.68±0.09)and PI(1.3±0.4)of OA in patients who were diagnosed as hyperuricemia for more than 5 years was higher[RI:0.63±0.09,PI:1.1±0.3(t=3.504,P=0.001 ;t=3.164,P=0.002)],the EDV[(6±3)cm/s]of OA was lower than those patients with a diagnosis of hyperuricemia for less than 5 years[(8±5)cm/s,t=1.988,P=0.049].The PSV[(11.5±3.5)cm/s]and EDV[(3.7±1.1)cm/s]of CRA in hyperuricemia combination hypertension group was lower,and the RI (0.88±1.40)was higher than hyperuricemia without hypertension group[PSV:(13.5±4.0)cm/s,EDV:(4.1±1.2)cm/s,RI:0.67±0.08].Conclusion By eFlow and spectral Doppler,we have found that hyperu-ricemia could accelerate OA and CRA atherosclerosis.The eFlow and spectral Doppler are valuable methods to study the hemodynamics in ophthalmic artery of patients with hyperuricemia.

Objective:To analyze the expression of circular RNA (circRNA) in peripheral blood mononuclear cells (PBMCs) of patients with gout and to explore the possible mechanism of circRNA in the pathogenesis of gout.Methods:Peripheral blood samples of 24 patients with acute gout (AG), 24 patients with intermittent gout (IG) and 24 healthy control subjects (HC) were collected. Three cases of AG, IG, and HC were randomly selected, and the differentially expressed circRNA in PBMCs was screened by human circNA microarrays. The 6 circRNAs with large differences between the two comparison groups were selected, and the relative expression levels of 6 circRNAs in all the collected 72 PBMCs of the study subjects were detected by real-time fluorescent quantitative polymerase chain reaction (RT-qPCR). The significantly differentially ex-pressed circRNA (fold change>1.5, P<0.05) was analyzed by GO analysis, Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis, and its interaction with microRNA (miRNA) was predicted. The median (interquartile range) was used to describe the data, and the Mann-Whitney U test was used for comparison between groups. Results:(1) The microarray analysis results showed that compared with the HC group, the AG group and the IG group had 116 and 41 significantly differently expressed circRNAs, respectively; com-pared with the IG group, the AG group had 105 significantly differently expressed circRNAs. (2) Among the 6 circRNAs verified by PT-qPCR, the expression trends of 5 were consistent with the microarray results. The expression of hsa_circRNA_105034 in the AG group [5.17(4.60)] was statistically significantly different com-pared to the IG [1.68(2.39)] and HC [0.90(0.73)] groups (AG vs IG: Z=-4.413, P<0.01; AG vs HC Z=-5.052, P<0.01). (3) Bioinformatics analysis: ① GO analysis found that differential circRNA swere mainly involved in DNA transcriptional regulation, positive cell regulation and protein modification, etc. ② KEGG pathway analysis revealed that differential circRNA might be involved in the immune response mediated by the mitogen-activated protein kinase signaling pathway. ③ CircRNA might affect its inflammatory response by targeting molecules such as miRNA-146a, miRNA-302b and miRNA-23a. Conclusion:There are differentially expressed circRNAs in PBMCs of patients with gout, which may be closely related to the occurrence and development of gout.

Objective:To screen for circle RNA (circRNA) differentially expressed in peripheral blood mononuclear cells (PBMCs) of patients with ankylosing spondylitis (AS), and to analyze its expression profile to explore the role of circRNAs in the pathogenesis of AS.Methods:CircRNA microarray chip technology was used to detect the expression of circRNAs in PBMCs of 3 patients with active AS, 3 patients with stable AS and 3 healthy controls (HC), and then screening for differentially expressed circRNAs by fold change (FC) and P value. Then differentially expressed circRNAs among the circRNAs with the highest differential expression were selected randomly to verify the chip results by real-time fluorescence quantitative polymerase chain reaction (qPCR); Differentially expressed circRNAs were subjected to Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and microRNA (miRNA) target prediction software was used to predict the circRNA/miRNA interaction relationship. Finally, the data were statistically analyzed by t test and Mann-Whitney U test. Results:① Chip text results showed that there were 800 circRNAs with significantly different expression (FC>1.5, P<0.05) in active AS than HC, of which 466 were up-regulated and 334 were down-regulated; the stable AS had a total of 1 149 significantly differentially expressed when compared with the HC (FC>1.5, P<0.05) circRNAs, of which 589 were up-regulated and 560 were down-regulated. 233 circRNAs were significantly differentially expressed (FC>1.5, P<0.05) between active AS and stable AS, of which 145 were up-regulated and 88 were down-regulated. ②The RT-qPCR verification results suggested that the expression trends of the four differentially expressed circRNAs were consistent with the results of the chip. ③ GO analysis results suggested that these differentially expressed circRNAs were mainly involved in nonsense-mediated mRNA decay, Rho GTPase binding and other processes. The analysis showed that the KEGG pathway were enriched in Th17 cell differentiation and chemokine signaling pathways. The results of miRNA target prediction software analysis suggested that differentially expressed circRNAs might play a role by targeting miR-650, let-7b-5p and other miRNAs. Conclusion:Compared with HC group, there were differentially expressed circRNAs in Peripheral Blood Mononuclear Cells (PBMCs) of AS patients, The results of this study suggest that these circRNAs may be involved in the pathogenesis of AS.

Objective To investigate the mRNA and protein expression levels of telomeric-repeat binding factor-1 (TRF1) and TRF2 in the peripheral blood mononuclear cells (PBMCs) of patients with systemic lupus erythematosus (SLE),and the relations between these gene expression levels and clinical data of SLE patients were explored.Methods According to disease activity,these SLE patients were divided into the active group (40 cases) and the stable group (67 cases).These patients were also grouped as renal damage group (46 cases) and renal damage-free group (61 cases) based on their renal conditions.Healthy individuals (41 cases) were also included as control.Real-time quantitative polymerase chain reaction (RT-qPCR) was employed to study the mRNA expression of TRF1 and TRF2.The protein levels of TRF1 and TRF2 were measured by Western Blot (WB).Independent-Samples t test or one-way analysis of variance (ANOVA) in conjunction with the Least-Significant Difference method (LSD method) wasperformed if the data were in normal distributions;otherwise,the Kruskal-Wallis test was applied.Spearman's correlation analysis was also used for statistical analysis.Results The mRNA and protein expression levels of TRF1 and TRF2 in the PBMCs of the active group (TRF1:0.003 1±0.003 3;TRF2:0.010 5±0.064 8) and renal damage group (TRF1:0.002 3 ±0.002 6;TRF2:0.004 3 ±0.003 3) were significantly increased compared to the stable group (TRF1:0.001 2±0.001 1;TRF2:0.004 2±0.008 6),the renal damage-free group (TRF1:0.001 3±0.001 8;TRF2:0.003 4±0.007 2) and healthy (TRF1:0.001 2±0.003 0;TRF2:0.003 4±0.002 7) individuals respectively (P＜0.05).In SLE patients,the expression levels of TRF1 mRNA were correlated with erythrocyte sedimentation rate (r=0.365,P＜0.05);the expression levels of TRF2 mRNA were correlated with SLEDAI score (r=0.270,P＜0.05),erythrocyte sedimentation rate (r=0.304,P＜0.05),creatinine (r=0.258,P＜0.05) and 24-hour urinary protein (r=0.344,P＜0.05).Conclusion Altered expression of TRF1 and TRF2 might be involved in the pathogenesis of Systemic lupus erythematosus.The positive correlation between TRF2 and SLEDAI score,24-hour urinary protein suggest that TRF2 might be usedas a biomarker for disease activity or renal damage in

The rapidly aging population has attracted extensive attention to the health of elderly people .The elderly are a vulnerable group in society .Their adverse physical and mental health not only affects their own well-be-ing but also brings a heavy burden on families and society .Numerous studies have found that health inequality of the elderly is a problem throughout the world, and differences in gender, age, marital status, socioeconomic status, and social capital among the elderly are all contributing factors .This paper summarizes these factors through a literature review.We suggest that cross-sectional and longitudinal data should be combined and suitable indicators and mathe -matical models to Chinese conditions should be established in order to analyze the mechanisms of various factors and their effects on health inequality and serve as a reference for promoting the overall health of the elderly .