This study was aimed to develop a simultaneous determination of zinc and cadmium with carbon fiber electrode by linear sweep stripping voltammetry. Effects of analytical base solution, accumulation potential, ac-cumulation time and scanning velocity were also investigated on the determination. The results showed that in 1 mol·L-1 H2SO4 medium solution, zinc and cadmium had good electrochemical response on the carbon fiber electrode and appeared sensitive anodic stripping peaks at-0.97 V and-0.77 V, respectively. The anodic stripping peak cur-rents and concentrations of zinc and cadmium showed good linear relationships, with correlation coefficients R2 of 0.996 5 and 0.995 4, respectively. The detection limits of zinc and cadmium (S/N=3) were 1.5×10-9 mol·L-1 and 1.0×10-10 mol·L-1, respectively. The average recoveries of zinc and cadmium were 98.9%and 98.1%with the rela-tive standard deviations (RSD) of 2.72%and 2.45%(n=6), respectively. It was concluded that the method of simul-taneous determination of zinc and cadmium with carbon fiber electrode was simple, sensitive and accurate.

Objective:To explore the potential biomarkers and pathogenesis of diabetic kidney disease (DKD) using bioinformatics techniques.Methods:Three DKD glomerular tissue datasets, GSE30528, GSE96804, and GSE104948, were downloaded from the gene expression database. The bioinformatics techniques, combined with machine learning, were applied to screen DKD biomarkers and establish a DKD gene diagnostic model. The CIBERSORT algorithm was applied to analyze immune cell infiltration in DKD glomerular tissue. The correlation between biomarkers and immune cells, model risk scores, and the glomerular filtration rate (eGFR) of patients was investigated.Results:A three-gene model consisting of G6PC, CDH10 and TPPP3 was screened and established from 26 differentially expressed genes, which showed good diagnostic efficacy in both the training set (AUC=0.984) and validation set (AUC=0.992). Analysis of infiltrating immune cells in DKD glomerular tissue showed that γδ T cells, activated NK cells, M2 macrophages, resting dendritic cells, resting mast cells, activated mast cells, and neutrophils may be involved in the DKD process, and that G6PC, CDH10 and TPPP3 were associated with multiple immune cell infiltrations. Using the model to calculate the risk score of DKD patients, the higher the score, the lower the eGFR level, and the risk score was significantly negatively correlated with the eGFR level. Conclusions:G6PC, CDH10 and TPPP3 can be good diagnostic markers for DKD, correlate with DKD immune cell infiltration, and be used as targets for DKD diagnosis and treatment.

Acute Stanford type A aortic dissection with important branches involved is more complex, could lead to organ malperfusion syndrome even organ failure. The understanding of pathological anatomy, classification, staging, and the pathophysiological change has increasingly mature, but not complete. In addition, the treatment strategy for complex lesions is diversified, some questions may not reach consensus. Fully understanding of the anatomical and pathophysiology is very important for surgeons to choose reasonable treatment strategy. As the rapid development of the basic research, imaging techniques and the concept of surgery procedures, the manage technique of Stanfrod type A dissection and branch vessels at the same time is getting seriously, the related issues also need further discussions.