Objective To analyze the correlation between acute coronary syndrome (ACS) and stress differentiation factors (GDF-15), catecholamines, and heat shock proteins (HSP-70). Methods A total of 40 patients with ACS were selected from the Emergency Department of the PLA General Hospital from September 10, 2016 to October 10, 2016. 40 healthy volunteers were selected as the control group. The information of age, gender, history of smoking, drinking, hyperlipidemia, hypertension and diabetes. Inspection indicators of blood biochemistry (Creation kinase Isoenzyme, Total cholesterol, Triglyceride, High-density lipoprotein, Blood glucose, Total bilirubin, Direct bilirubin), serum level of GDF-15, catecholamine (Adrenaline,norepinephrine,dopamine)and HSP-70 were collected. Evaluation of Coronary Stenosis used with Coronary Artery Lesions and Gensini Score. Statistical analysis using SPSS 17.0 statistical software, measurement data are expressed as mean ± standard deviation (x±s),count data to the number of cases and percentage, measurement using t test, count data using chisquare test. Results Serum levels of GDF-15[(21.94±14.23) vs. (7.06±5.53), P=0.007],catecholami ne[(46592.15±30931.27) vs. (5507.14±2083.28), P<0.01], HSP-70 [(369.56±300.44) vs. (07.76±54.23),P<0.001],all higher than the control group. GDF-15 serum levels of Gensini scores> 40 compare with <20group was significantly higher [(324.27 ± 198.81) vs. (77.43 ± 699.22), P=0.035], serum catecholaminelevels of > 40 group compare with <20 group significantly increased [(18.71 ± 7.32) vs. (18.6±46.1),P=0.017], GDF-15 levels were significantly higher in the multi-vessel stenosis group than in the doublevessel stenosis group[ (618.40±434.42) vs. (292.07±219.65), P=0.033]. Conclusions GDF-15,catecholamine and HSP-70 are correlated with ACS, as well as the severity of coronary artery lesions.

Objective:To assess the correlation between circulating chemerin and two indicators of renal function, estimated glomerular filtration rate (eGFR) and urine albumin creatinine ratio (UACR), in individuals with type 2 diabetes and to determine whether chemerin is an independent marker of early renal insufficiency.Methods:A total of 742 patients with type 2 diabetes were recruited into the cross-sectional community study. Basic information, anthropometric parameters, and biochemical parameters of these individuals were determined and collected, and serum chemerin level was measured using enzyme-linked immunosorbent assay.Results:Chemerin levels were significantly higher in the eGFR-impaired group compared with eGFR-normal group, and macroalbuminuria group compared to the normal or microalbuminuria groups. Spearman′ rank correlation analysis showed serum chemerin level was correlated with eGFR ( r=-0.25, P<0.001), UACR ( r=0.23, P<0.001) and some other biochemical indicators such as triglyceride. And univariate and multivariate logistic regression analyses revealed circulating chemerin was an independent risk factor for eGFR impairment or proteinuria after adjusting corresponding covariates. Receiver operating characteristic (ROC) curve analysis showed that the area under curve (AUC) of circulating chemerin for predicting early impaired eGFR in type 2 diabetes was 0.747, while the AUC of circulating chemerin for predicting macroalbuminuria in type 2 diabetes was 0.748. Conclusion:Circulating chemerin is associated with eGFR or UACR and may be a potential diagnostic marker for early renal insufficiency in type 2 diabetes.