Clinical overview of diabetes mellitus as a risk factor for cardiovascular death.

Global diabetes mellitus prevalence is increasing. Metabolic disorders, such as type 2 diabetes, are associated with abnormal cardiac electrophysiology and increased risk of arrhythmias. Patients with both diabetes types (1 and 2) suffer from sudden cardac death (SCD) as a leading cause of mortality. Cardiovascular death is defined as death attributable to cardiovascular disease (CVD) occurring shortly within the symptom onset. This usually arises from life-threatening ventricular tachyarrhythmias that lead to hemodynamic instability, and subsequent shock and death. A variety of pathways have been suggested that link hypoglycaemia to the development of adverse cardiovascular outcomes, including blood coagulation abnormalities, inflammation, endothelial dysfunction and sympathoadrenal responses. We propose a four-step framework for the optimisation of SCD risk factors in diabetic patients, to include: raising awareness to influence health behaviour, provision of screening programs, use of technology within educational programs to improve patient engagement and effective provision of diabetic community teams.

Genomic and post-genomic approaches to polycystic ovary syndrome--progress so far: Mini Review.

Genomic studies in polycystic ovary syndrome (PCOS) have focused on ovarian tissues and gene expression changes related to the gynaecological manifestations of PCOS. These studies have revealed a variety of altered genes that fall into many functional categories. Of these, the genes involved in steroidogenesis, including genes related to retinoic acid biosynthesis and LH-stimulated gene pathways, are generally up-regulated in PCOS samples. Genes involved in the Wnt signalling pathway appear down-regulated. Immune response genes and those involved in apoptosis are altered, but the net effect of these alterations is unclear at present. However, these altered gene expression patterns are yet to produce a defined aetiological basis or diagnostic biomarker for PCOS. The use of proteomic technologies for the study of the PCOS proteome is in its infancy; however, a few pilot studies have been published and the data are reviewed. Proteomics looks directly at the functional units within a cell, the proteins. This approach should thus serve to validate some of the gene expression changes identified and then build on the genomic results collected to date.