Skeletal muscle-specific forkhead box protein-O1 overexpression suppresses atherosclerosis progression in apolipoprotein E-knockout mice.

Calorie restriction (CR) reportedly prevents atherosclerotic diseases. Furthermore, CR induces forkhead box protein-O1 (FOXO-1) expression in the skeletal muscle, altering the character of the skeletal muscle. We previously reported that the change in skeletal muscle character, induced by the overexpression of peroxisome proliferator-activated receptor γ coactivator-1α, suppresses atherosclerotic progression in an atherosclerotic apolipoprotein E-knockout (ApoE-KO) mouse model. Thus, we hypothesized that skeletal muscle alternation induced by FOXO-1 may also have an anti-atherosclerotic effect in ApoE-KO mice. In this study, we investigated whether skeletal muscle-specific FOXO-1 overexpression suppresses the progression of atherosclerosis in ApoE-KO mice. We generated ApoE-KO/FOXO-1 mice, in which an ApoE-KO mouse was crossbred with a mouse presenting skeletal muscle-specific FOXO-1 overexpression (FOXO-1Tg). The mice were sacrificed at 20 weeks of age, and atherosclerotic plaque area and protein expression in the plaque were measured. Additionally, we measured the tumor necrosis factor α (TNFα)- induced mRNA expression in human umbilical vein endothelial cells (HUVECs), using serum collected from the FOXO-1Tg mice. Accordingly, ApoE-KO/FOXO-1 mice showed a 65% reduced atherosclerotic plaque area when compared with the ApoE-KO mice, with concomitantly reduced vascular cell adhesion molecule-1 (VCAM-1) and macrophage infiltration. As compared to serum from wild-type mice, the serum collected from the FOXO-1Tg mice significantly suppressed the mRNA expression of VCAM-1, an atherosclerosis initiation factor, in TNFα-treated HUVECs. Therefore, these data suggest that skeletal muscle-specific FOXO-1 overexpression suppresses the progression of atherosclerosis in ApoE-KO mice. In part, the CR-induced anti-atherosclerotic effect could be attributed to FOXO-1 upregulation in the skeletal muscle.

ß-Aminoisobutyric Acid Suppresses Atherosclerosis in Apolipoprotein E-Knockout Mice.

Endurance exercise training has been shown to induce peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α) expression in skeletal muscle. We recently reported that skeletal muscle-specific PGC-1α overexpression suppressed atherosclerosis in apolipoprotein E-knockout (ApoE-/-) mice. ß-Aminoisobutyric acid (BAIBA) is a PGC-1α-dependent myokine secreted from myocytes that affects multiple organs. We have also reported that BAIBA suppresses tumor necrosis factor-alpha-induced vascular cell adhesion molecule-1 (VCAM-1) and monocyte chemoattractant protein-1 (MCP-1) gene expression in endothelial cells. In the present study, we hypothesized that BAIBA suppresses atherosclerosis progression, and tested that hypothesis with ApoE-/- mice. The mice were administered water containing BAIBA for 14 weeks, and were then sacrificed at 20 weeks of age. Atherosclerotic plaque area, plasma BAIBA concentration, and plasma lipoprotein profiles were assessed. Immunohistochemical analyses of the plaque were performed to assess VCAM-1 and MCP-1 protein expression levels and macrophage infiltration. The results showed that BAIBA administration decreased atherosclerosis plaque area by 30%, concomitant with the elevation of plasma BAIBA levels. On the other hand, plasma lipoprotein profiles were not changed by the administration. Immunohistochemical analyses indicated reductions in VCAM-1, MCP-1, and Mac-2 protein expression levels in the plaque. These results suggest that BAIBA administration suppresses atherosclerosis progression without changing plasma lipoprotein profiles. We propose that the mechanisms of this suppression are reductions in both VCAM-1 and MCP-1 expression as well as macrophage infiltration into the plaque.

Extraction of patient-specific boundary conditions from 4D-DSA and their influence on CFD simulations of cerebral aneurysms.

We developed a new technique for extracting patient-specific inflow conditions, such as the pulse cycle duration and blood flow velocity, from four-dimensional digital subtraction angiography images and experimentally examined its validity. The maximum error between the values extracted by the technique and measured values was 14.3%. We performed blood flow simulations and calculated representative haemodynamic parameters. The maximum differences between the parameters obtained using general and patient-specific inflow conditions were approximately 400%, 150%, and 50% for the velocity, normalised wall shear stress, and pressure loss coefficient, respectively. These results indicate that patient-specific conditions are critical for accurately reproducing aneurysmal haemodynamics.