Long non coding RNA H19: An emerging therapeutic target in fibrosing diseases.

Fibrosis is characterised by excessive deposition of the extracellular matrix (ECM) and develops because of fibroblast differentiation during the process of inflammation. There are few effective treatment options for this diseases due to the aetiology of fibrosis is not completely clarified. Long non-coding RNAs (lncRNAs), a type of ncRNA with a length of greater than 200 nucleotides without evident protein coding function, are important regulators of most biological and pathological processes, including participation, regulation or mediation of disease development. Among them, H19 is recently discovered as a class of lncRNAs which is related to fibrotic disease and inflammation. These observations implied a potential role for H19 as a promising therapeutic targets for treatment of fibrotic diseases. In this review, we will describe the characteristics of H19 and summarise recent advances in the mechanisms of H19 in the process of fibrosis. Finally, we will succinctly discuss the recent progress of the involvement of H19 in the development and pathogenesis of fibrosis diseases.

Relationship of meteorological factors and human brucellosis in Hebei province, China.

BACKGROUND: Brucellosis has always been one of the major public health problems in China. Investigating the influencing factors of brucellosis is conducive to its prevention and control. The incidence trend of brucellosis shows an obvious seasonality, suggesting that there may be a correlation between brucellosis and meteorological factors, but related studies were few. We aimed to use the autoregressive integrated moving average (ARIMA) model to analyze the relationship between meteorological factors and brucellosis. METHODS: The data of monthly incidence of brucellosis and meteorological factors in Hebei province from January 2004 to December 2015 were collected from the Chinese Public Health Science Data Center and Chinese meteorological data website. An ARIMA model incorporated with covariables was conducted to estimate the effects of meteorological variables on brucellosis. RESULTS: There was a highest peak from May to July every year and an upward trend during the study period. Atmospheric pressure, wind speed, mean temperature, and relative humidity had significant effects on brucellosis. The ARIMA(1,0,0)(1,1,0)12 model with the covariates of atmospheric pressure, wind speed and mean temperature was the optimal model. The results showed that the atmospheric pressure with a 2-month lag (ß = -0.004, p = 0.037), the wind speed with a 1-month lag (ß = 0.030, p = 0.035), and the mean temperature with a 2-month lag (ß = -0.003, p = 0.034) were significant predictors. CONCLUSION: Our study suggests that atmospheric pressure, wind speed, mean temperature, and relative humidity have a significant impact on brucellosis. Further understanding of its mechanism would help facilitate the monitoring and early warning of brucellosis.

Associations of Vitamin D Receptor Single Nucleotide Polymorphisms with Susceptibility to Systemic Sclerosis.

BACKGROUND: This study aims to evaluate whether the Vitamin D receptor (VDR) gene polymorphisms were associated with systemic sclerosis (SSc) in a Chinese Han population. METHODS: Using a hospital-based case-control study including 100 SSc patients and 100 healthy controls. Single nucleotide polymorphisms (SNPs) in the VDR region were genotyped by the improved multiplex ligase detection reaction (i MLDR) method. Haplotypes were also constructed after linkage disequilibrium (LD) analysis. RESULTS: Eight SNPs (rs731236 (TaqI), rs2228570 (FokI), rs7975232 (ApaI), rs1544410 (BsmI), rs11574010 (Cdx2), rs739837 (BglI), rs757343 (Tru9I) and rs11168267) were included. There were significant differences between SSc patients and healthy individuals in ApaI and BglI genotype (both adjusted p = 0.008). Through the genotyping, significantly association of SSc were found for: dominant model of ApaI and BglI (both OR (95% CI) = 1.80 (1.03,3.16), p = 0.040). Furthermore, the elevation of erythrocyte sedimentation rate (ESR) had a higher percentage of BglI GT genotype frequency (p = 0.034) and dominant model of ApaI (p = 0.016) in SSc. There was high linkage disequilibrium was detected in BglI and ApaI polymorphisms (r2 = 1.0, D' = 1.0), Tru9I and rs11168267 (r2 = 0.926, D' = 0.969), respectively. No significant difference were found in these four haplotypes (all p >0.05). The correlation between VD levels and VDR gene polymorphisms was not statistically significant. CONCLUSIONS: Our preliminary study indicates the ApaI and BglI genotype may possibly have a role in the pathogenesis of SSc patients. Dominant model of ApaI and BglI GT genotype frequency may be associated with the increased risk of ESR.

The association between reproductive factors and systemic sclerosis in Chinese women: A case-control study and meta-analysis.

AIM: To examine the associations between female menstrual or reproductive factors and the development of systemic sclerosis (SSc) in China. METHODS: In this hospital-based case-control study, for each subject, data on reproductive and menstrual factors such as number of births, abortions, and age at menarche were obtained by structured questionnaire. Risk estimates, measured by the odds ratio (OR) and 95% confidence interval (CI), were obtained by unconditional logistics regression. Furthermore, meta-analysis was performed and pooled OR with 95% CI for the number of pregnancies and abortions were calculated. RESULTS: There were 166 SSc and 392 female controls seen during the study period. The results showed women with late menarche age (≥17 years) were less likely than those with earlier age at menarche to develop SSc (OR 0.347, 95% CI 0.174-0.693) and compared with women without abortion, women with abortion (1 time) were at reduced risk of developing SSc (P = .036). After adjusting for potential confounders such as occupation and body mass index (BMI), late age at menarche (≥17 years) was associated with a decreased risk of SSc (OR 0.187, 95% CI 0.068-0.513), but abortions were not significantly related to SSc. The meta-analysis revealed there was no association between SSc and abortions or number of pregnancies. No significant publication bias was observed (P > .05). CONCLUSION: Late age at menarche was associated with a reduced risk of SSc but abortion may not be an independent risk factor for SSc. Further investigations are required to verify our findings.