Self-template formation of porous Co3O4 hollow nanoprisms for non-enzymatic glucose sensing in human serum.

A novel type of porous Co3O4 hollow nanoprism (HNP) was successfully prepared using tetragonal cobalt acetate hydroxide [Co5(OH)2(OAc)8·2H2O] as precursor by a facile solvothermal process and a subsequent calcination treatment. The morphology and structure of the Co3O4 HNPs were characterized by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), powder X-ray diffraction (XRD) and N2 adsorption-desorption measurements. An enzyme-free glucose sensor was constructed based on the Co3O4 HNPs, and the electrochemical performance was tested by cyclic voltammetry (CV) and chronoamperometry. The as-prepared sensor exhibited a good electrocatalytic activity for glucose oxidation at the applied potential of 0.6 V in alkaline solution, with a high sensitivity of 19.83 µA mM-1 cm-2 and a high upper limit of 30 mM, which provide the potential for direct determination of blood glucose without any dilution pretreatment. The Co3O4 HNPs had a porous and tubular structure with a large amount of accessible active sites, which enhanced the mass diffusion and accelerated the electron transfer. Moreover, the sensor also demonstrated a desirable stability, selectivity and reproducibility, and could verify the non-enzymatic analysis of glucose in real samples.

The roles of endothelial nitric oxide synthase gene polymorphisms in diabetes mellitus and its associated vascular complications: a systematic review and meta-analysis.

PURPOSE: The roles of endothelial nitric oxide synthase (eNOS) gene polymorphisms in diabetes mellitus (DM) were intensively analyzed, but the results of these studies were inconsistent. Therefore, we performed this study to better assess the relationship between eNOS genetic variations and DM. METHODS: Eligible studies were searched in PubMed, Medline, Embase, and Web of Science. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess correlations between eNOS polymorphisms and DM. RESULTS: A total of 91 studies were finally included in our analyses. Significant associations with the susceptibility to DM were detected for the rs891512, rs1799983, rs2070744, and rs869109213 polymorphisms. As for vascular complications in DM, significant associations with the susceptibility to diabetic nephropathy were detected for the rs1799983 and rs2070744 polymorphisms. In addition, we also found that the rs1799983 polymorphism was significantly associated with the susceptibility to peripheral artery disease, whereas the rs2070744 polymorphism was significantly associated with the susceptibility to coronary artery disease in DM patients. Further subgroup analyses on the basis of type of disease and ethnicity of participants showed similar positive results. CONCLUSIONS: In conclusion, our findings indicate that rs891512, rs1799983, rs2070744, and rs869109213 polymorphisms may serve as genetic biomarkers of DM, while rs1799983, rs2070744, and rs869109213 polymorphisms may contribute to the development of vascular complications in DM.