Angiotensin-converting enzyme 2 (ACE2) expression and activity in human carotid atherosclerotic lesions.

Angiotensin-converting enzyme (ACE)2 is a recently identified homologue of ACE. As ACE2 inactivates the pro-atherogenic angiotensin II, we hypothesize that ACE2 may play a protective role in atherogenesis. The spatiotemporal localization of ACE2 mRNA and protein in human vasculature and a possible association with atherogenesis were investigated using molecular histology (in situ hybridization, immunohistochemistry). Also, the ACE : ACE2 balance was investigated using enzymatic assays. ACE2 mRNA was expressed in early and advanced human carotid atherosclerotic lesions. In addition, ACE2 protein was present in human veins, non-diseased mammary arteries and atherosclerotic carotid arteries and expressed in endothelial cells, smooth muscle cells and macrophages. Quantitative analysis of immunoreactivity showed that total vessel wall expression of ACE and ACE2 was similar during all stages of atherosclerosis. The observed ACE2 protein was enzymatically active and activity was lower in the stable advanced atherosclerotic lesions, compared to early and ruptured atherosclerotic lesions. These results suggest a differential regulation of ACE2 activity during the progression of atherosclerosis and suggest that this novel molecule of the renin-angiotensin system may play a role in the pathogenesis of atherosclerosis.

Genome-wide expression studies of atherosclerosis: critical issues in methodology, analysis, interpretation of transcriptomics data.

During the past 6 years, gene expression profiling of atherosclerosis has been used to identify genes and pathways relevant in vascular (patho)physiology. This review discusses some critical issues in the methodology, analysis, and interpretation of the data of gene expression studies that have made use of vascular specimens from animal models and humans. Analysis of gene expression studies has evolved toward the genome-wide expression profiling of large series of individual samples of well-characterized donors. Despite the advances in statistical and bioinformatical analysis of expression data sets, studies have not yet fully exploited the potential of gene expression data sets to obtain novel insights into the molecular mechanisms underlying atherosclerosis. To assess the potential of published expression data, we compared the data of a CC chemokine gene cluster between 18 murine and human gene expression profiling articles. Our analysis revealed that an adequate comparison is mainly hindered by the incompleteness of available data sets. The challenge for future vascular genomic profiling studies will be to further improve the experimental design, statistical, and bioinformatical analysis and to make data sets freely accessible.