Objective To investigate the change trend of liver function indicators in different types of hyperlipidemia patients. Methods From July 2014 to July 2015 ,a total of 2571 patients with hyperlipidemia and 1063 normal people(control group) were collected in this research.All patients with hyperlipidemia were divided into the hypercholesterolemia group (high TC group ,n=258) ,hypertriglyceridemia group (high TG group ,n=859) and mixed type hyperlipidemia group(n=282) ,low high-density lipo-protein cholesterol group(low HDL-c group ,n=1172).The liver function indicators of total protein (TP) ,albumin (ALB) ,alanine aminotransferase(ALT ) ,aspartate aminotransferase (AST ) ,AST/ALT and globulin (GLB ) were measured in each group. Results The TP and ALB levels in the high TC group ,mixed group and low HDL group were significantly decreased compared with the control group ,the difference was statistically significant (P<0.05).The ALT ,AST ,AST/ALT and GLB levels in the four hyperlipidemia groups had different degrees of increase as compared with the control group ,the difference was statistically signifi-cant(P<0.05).The TP and ALB levels in the mixed group and the low HDL group were significantly lower than those in the high TG group and high TC group ,the difference was statistically significant (P<0.05).The ALT level in the low HDL group was sig-nificantly higher than that in the other three groups ,the difference was statistically significant (P<0.05).The AST/ALT level in the mixed group was significantly higher than the other three groups (P<0.05).The GLB level in the high TC group was signifi-cantly higher than the other 3 groups with statistical difference (P<0.05).Conclusion Blood lipid increase may induce the liver function injury.The detection of liver function indicators in the patients with hyperlipidemia will contribute to the early detection and treatment of fatty liver.

Objective To investigate the relationship of pancreatic β-cell function and insulin resistance with microalbuminuria in a cross -sectional study of patients with type 2 diabetes.Methods A total of 524 partici-pants with type 2 diabetes were recruited in this cross -sectional study.All subjects'height,weight,waist circumfer-ence and blood pressure were measured.Venous blood samples were drawn to measure fasting plasma glucose (FPG), fasting lipids,glycated hemoglobin A1c (HbA1c),fasting C -peptide (FPC).24h -urine was collected to measure urinary albumin excretion rate (UAER).Homeostasis model assessment of pancreatic β-cell function (HOMA -B) and insulin resistance (HOMA -IR)were estimated using fasting plasma C -peptide.According to HOMA -B quar-tile,the subjects were divided into four groups,including q1 -q4.According to HOMA -IR,the subjects were also divided into four groups,including Q1 -Q4.We assessed the crude associations across quartiles of these data with demographic and clinical parameters using a nonparametric test for trend across ordered groups (trend using Stata software).Multivariable logistic regression analysis was performed to assess the relationships of pancreatic β-cell function and insulin resistance with microalbuminuria in patients with type 2 diabetes.Results Trend test showed that UAER gradually reduced with increase of HOMA -B.The UAER values in subjects with q1,q2,q3 and q4 were 8.92(5.53 -28.65),8.55(5.52 -20.95),7.57(4.79 -19.83)and 7.84(5.23 -14.38)μg/min,respectively, and the trend was statistically significant(z =-2.1,P <0.05 ).With HOMA -IR increasing,UAER gradually increased.The UAER values in subjects with Q1,Q2,Q3 and Q4 were 6.73(4.85 -16.52),8.61 (5.2 -20.37), 8.31(4.88 -27.04),8.75(6.03 -25.21)μg/min,respectively,and the trend was also statistically significant(z =2.41,P <0.05).Multivariable logistic regression analysis showed that subjects with the highest quartile of HOMA -B had lower possibility of microalbuminuria than patients with the lowest quartile of HOMA -B (adjusted OR q4 vs. q1 =0.39,95% CI:0.20 -0.76,Wald =7.59,P =0.006).Subjects with the highest quartile of HOMA -IR had higher risk of microalbuminuria than those with the lowest quartile of HOMA -IR (adjusted OR Q4 vs.Q1 =2.00, 95% CI:1.08 -3.72,Wald =4.84,P =0.028).Conclusion Insulin resistance is associated with an increased prevalence of microalbuminuria in type 2 diabetes,while improved pancreatic β-cell function is linked to decreased rates of microalbuminuria for those patients.

Objective:To investigate the prevalence of metabolic syndrome(MS) among adult residents with different characteristics and the relationship between serum uric acid(SUA) level and MS using the data of Chinese Adult Chronic Diseases and Nutrition Surveillance(2018) program in Anhui.Methods:Multi-stage stratified cluster random sampling was used to select participants aged 18 and over for questionnaires, physical measurements, and laboratory tests. The complex weighted method was used to estimate the prevalence of MS among residents with different characteristics. Logistic regression model based on complex sampling data was used to analyze the relationship between SUA and MS. Receiver operating characteristic(ROC) curve was used to evaluate the reliability of SUA in diagnosing MS and determine the optimal cutoff point.Results:A total of 7 182 participants were included and the prevalence of MS among adult residents was 29.46%. The prevalence of MS was higher in females(33.76%) than that in males(25.28%), and the difference was statistically significant( P<0.05). After adjusting for other factors, for every 10 μmol/L increase in SUA, the risk of MS increased by 4% in males( OR=1.040, 95% CI 1.019-1.061) and 7% in females( OR=1.070, 95% CI 1.059-1.082). The area under the curve(AUC) for SUA in diagnosing MS was 0.816(95% CI 0.806-0.826), with a sensitivity of 0.761 and specificity of 0.727. The optimal cutoff point for SUA was 450 μmol/L. Conclusion:The prevalence of MS among adult residents in Anhui Province is 29.46%. SUA is a risk factor for MS, and increasing SUA level indicated a higher risk of MS. The optimal cutoff value of SUA may be helpful in diagnosing MS.

Alternative splicing (AS) is an evolutionarily conserved mechanism that removes introns and ligates exons to generate mature messenger RNAs (mRNAs), extremely improving the richness of transcriptome and proteome. Both mammal hosts and pathogens require AS to maintain their life activities, and inherent physiological heterogeneity between mammals and pathogens makes them adopt different ways to perform AS. Mammals and fungi conduct a two-step transesterification reaction by spliceosomes to splice each individual mRNA (named cis -splicing). Parasites also use spliceosomes to splice, but this splicing can occur among different mRNAs (named trans -splicing). Bacteria and viruses directly hijack the host's splicing machinery to accomplish this process. Infection-related changes are reflected in the spliceosome behaviors and the characteristics of various splicing regulators (abundance, modification, distribution, movement speed, and conformation), which further radiate to alterations in the global splicing profiles. Genes with splicing changes are enriched in immune-, growth-, or metabolism-related pathways, highlighting approaches through which hosts crosstalk with pathogens. Based on these infection-specific regulators or AS events, several targeted agents have been developed to fight against pathogens. Here, we summarized recent findings in the field of infection-related splicing, including splicing mechanisms of pathogens and hosts, splicing regulation and aberrant AS events, as well as emerging targeted drugs. We aimed to systemically decode host-pathogen interactions from a perspective of splicing. We further discussed the current strategies of drug development, detection methods, analysis algorithms, and database construction, facilitating the annotation of infection-related splicing and the integration of AS with disease phenotype.
Animals ; Alternative Splicing/genetics* ; RNA Splicing ; Spliceosomes/metabolism* ; RNA, Messenger/metabolism* ; Communicable Diseases/genetics* ; Mammals/metabolism*