Prevalence of Hyperuricemia and its Correlation with Serum Lipids and Blood Glucose in Physical Examination Population in 2015 - 2018: a Retrospective Study.

BACKGROUND: Hyperuricemia (HUA) is a metabolic disease caused by a disorder of purine metabolism, which increases the risk of cardio-cerebrovascular disease. Serum lipids and blood glucose are risk factors for metabolic syndrome. Thus, this study aimed to assess the prevalence of HUA and its relationship with serum lipids and blood glucose. METHODS: A total of 59,074 cases (32,623 males and 26,451 females) from three hospitals in Lanzhou city from January 2015 to December 2018 were grouped according to serum uric acid (SUA) level to analyze the differences in age, total cholesterol (TC), triacylglycerol (TG), low density lipoprotein (LDL), high density lipoprotein (HDL), fasting blood glucose (FBG), creatinine (Cr), and blood urea nitrogen (BUN). The changes of prevalence of HUA among different age and gender groups was analyzed. Pearson's correlation analysis was used to analyze the correlation of SUA level with clinical indicators. The risk factors of HUA were analyzed by using binary logistic regression analysis. ROC curve was used to analyze the independent risk factors of elevated SUA. RESULTS: The overall prevalence rate of HUA was 19.87% and the prevalence rate of males was significantly higher than that of females (28.35% vs. 9.41%, χ2 = 3,289.143, p < 0.01). The prevalence rates of HUA from 2015 - 2018 were 19.54%, 19.31%, 18.64%, and 21.81%, respectively. Compared with the normal SUA group, TC, TG, and LDL significantly increased in the HUA group. The correlation analysis showed that SUA was negatively correlated with gender and HDL, and positively correlated with age, FBG, TC, TG, and LDL. The logistic regression analysis revealed that TG, TC, and LDL were risk factors for HUA. The ROC curve analysis showed that the risk of HUA significantly increased when TG was above 1.645 mmol/L. CONCLUSIONS: The overall prevalence of HUA in physical examination population has generally been at a high level in the past 4 years. Serum lipids and blood glucose may be independent risk factors for predicting HUA.

Hypertriglyceridemia and hyperuricemia: a retrospective study of urban residents.

BACKGROUND: The aim of this study was to determine the association between hypertriglyceridemia and hyperuricemia (HUA). METHODS: The study was conducted in 3884 subjects who had not received medication enrolled as a baseline. Each participant received at least three annual health check-ups between 2011 and 2017. The risk of hyperuricemia was assessed in four Quartiles (Q1 to Q4) according to TG levels using multivariate-adjusted logistic regression models. RESULTS: The total incidence rate of HUA was 62.3/1000 person-years. In the univariate analysis, the risk of hyperuricemia in people with hypertriglyceridemia was 2.353 times that of normal triglycerides, with a 95% confidence interval of (2.011, 2.754), and the risk of hyperuricemia in men was 1.86 times of female, and the 95% confidence interval is (1.634, 2.177). After adjusting the potential confounders, the relative risk RR of TG at Q2 Q3 Q4 was 1.445 (95%CI:1.114, 1.901), 2.075 (1.611, 2.674), 2.972 (2.322, 3.804). CONCLUSIONS: TG is an independent risk factor for hyperuricemia. As the level of TG increases, the risk of HUA increases.

Development and application of a PCR-HRM molecular diagnostic method of SNPs linked with TNF inhibitor efficacy.

Background Clinical evidence indicates that genetic variations may interfere with the mechanism of drug action. Recently, it has been reported that the single nucleotide polymorphisms (SNPs) of STAT4, PTPN2, PSORS1C1 and TRAF3IP2RA genes are associated with the clinical efficacy of tumor necrosis factor (TNF) inhibitors in the treatment of rheumatoid arthritis (RA) patients. Therefore, the detection of the SNPs linked with TNF inhibitor efficacy may provide an important basis for the treatment of RA. This study intended to establish molecular diagnostic methods for genotyping the linked SNPs based on high resolution melting (HRM) curve analysis. Methods The polymerase chain reaction-HRM (PCR-HRM) curve analysis detecting systems were established by designing the primers of the four SNPs, rs7574865G>T, rs7234029A>G, rs2233945C>A and rs33980500C>T, and the performance and clinical applicability of which were evaluated by using the Sanger sequencing method and genotyping test for 208 clinical samples. Results The self-developed molecular diagnostic methods of PCR-HRM were confirmed to be able to correctly genotype the four SNPs, the sensitivity and specificity of which were 100% in this study. The repeatability and reproducibility tests showed that there is little variable in intra-assay and inter-assay (the coefficient of variation ranged from 0.01% to 0.07%). The slight changes of DNA template and primer concentrations, PCR cycle number and reaction system volume had no significant effect on the genotyping performance of the method. The PCR-HRM assays were also applied to other PCR thermocyclers with HRM function and use different saturation fluorescent dyes. Conclusions The PCR-HRM genotyping method established in this study can be applied to the routine molecular diagnosis of rs7574865, rs7234029, rs2233945 and rs33980500.

High-Throughput and Rapid Melting Curve Analysis.

BACKGROUND: High-resolution melting curve analysis has been widely applied as one of the mainstream technologies used for scanning and detecting genetic mutations. After having realized the integration of PCR amplification and HRM detection on the same instrument, researchers have begun to focus on the throughput and speed of PCR-HRM detection. METHODS: A systematic literature search was conducted with the use of PubMed and ScienceDirect for articles on high resolution melting curve and microfluidic technologies. The focus is on the manufacture and application of microfluidic devices in medical diagnostic. A further review of the references identified from these articles was also performed. RESULTS: Based on the characteristics of microfluidic integration and rapid detection of microfluidic technology, a new high-throughput PCR-HRM genotyping and scanning detection mode combining microfluidic technology has not only achieved closed Tube high-throughput rapid detection, but also meets the needs of portability and lowcost. CONCLUSIONS: The new PCR-HRM detection platform based on the microfluidic technology can achieve high throughput and high speed.

[The rheology properties of common hydrophilic gel excipients].

To investigate theological properties of common hydrophilic gel excipients such as Carbopol based on viscosity, the viscosity was determined by rotation method and falling-ball method. Linear regression was made between ln(eta) and concentration, the slope of which was used to explore the relation between viscosity and concentration of different excipients. The viscosity flow active energy (E(eta)) was calculated according to Arrhenius equation and was used to investigate the relation between viscosity and temperature of different excipients. The results showed that viscosities measured by two methods were consistent. Concentration of guargum (GG) and hydroxypropylmethyl cellulose (HPMC) solution had a great influence on the viscosity, k > 5; while concentration of polyvinylpyrrolidone-K30 (PVP-K30) and polyethylene glycol 6000 (PEG6000) exerted a less effect on viscosity, k < 0.2; viscosity flow active energy of different excipients were close, which ranged from 30 to 40 kJ x mol(-1). Therefore, theological properties study could provide the basis for application of excipients and establish a foundation for the research of relation between excipients structure, property and function.