Black rice and its pigment fraction may have antiatherogenic activity, but the exact component contributing to the beneficial effect remains unclear. The aim of the present study was to investigate the influence of the anthocyanin-rich extract from black rice on the vulnerability of advanced plaques in apolipoprotein (apo) E-deficient mice. Using LC-MS, the anthocyanin-rich extract from black rice was identified as containing cyanidin-3-glucoside and peonidin-3-glucoside. ApoE-deficient mice (n = 30; 30 wk old) were randomly divided into 3 groups: a control group (fed the AIN-93G diet), the simvastin group [simva; fed the AIN-93G diet containing simvastatin, 50 mg/(kg.d)], or the anthocyanin-rich extract group [antho; fed the AIN-93G diet supplemented with anthocyanin-rich extract from black rice, 300 mg/(kg.d)]. After 20 wk of intervention, the plaque area that developed in the brachiocephalic artery of mice in the antho group was smaller than that of the control mice. Both the antho and simva groups had lower frequencies of the large necrotic core and thin fibrous cap in plaques than the control group. Collagen I was increased and matrix metalloproteinase-1 contents were reduced in the brachiocephalic lesion of both the antho and simva groups compared with the control group. Furthermore, mRNA levels of tissue factor and inducible nitric oxide synthase in aortae were decreased in the antho and simva groups. Supplementation of anthocyanin-rich extract improved the lipid profile by decreasing serum triglyceride, total cholesterol, and non-HDL cholesterol. These results suggest that chronic diet intake of anthocyanin-rich extract from black rice may enhance plaque stabilization in old apoE-deficient mice. The underlying mechanism is related mainly to inhibiting proinflammatory factors and improving the serum lipid profile.

Restless legs syndrome (RLS) is a common neurological disorder that affects 5%-12% of all whites. To genetically dissect this complex disease, we characterized 15 large and extended multiplex pedigrees, consisting of 453 subjects (134 affected with RLS). A familial aggregation analysis was performed, and SAGE FCOR was used to quantify the total genetic contribution in these families. A weighted average correlation of 0.17 between first-degree relatives was obtained, and heritability was estimated to be 0.60 for all types of relative pairs, indicating that RLS is a highly heritable trait in this ascertained cohort. A genomewide linkage scan, which involved >400 10-cM-spaced markers and spanned the entire human genome, was then performed for 144 individuals in the cohort. Model-free linkage analysis identified one novel significant RLS-susceptibility locus on chromosome 9p24-22 with a multipoint nonparametric linkage (NPL) score of 3.22. Suggestive evidence of linkage was found on chromosome 3q26.31 (NPL score 2.03), chromosome 4q31.21 (NPL score 2.28), chromosome 5p13.3 (NPL score 2.68), and chromosome 6p22.3 (NPL score 2.06). Model-based linkage analysis, with the assumption of an autosomal-dominant mode of inheritance, validated the 9p24-22 linkage to RLS in two families (two-point LOD score of 3.77; multipoint LOD score of 3.91). Further fine mapping confirmed the linkage result and defined this novel RLS disease locus to a critical interval. This study establishes RLS as a highly heritable trait, identifies a novel genetic locus for RLS, and will facilitate further cloning and identification of the genes for RLS.

Occlusion is one of the most challenging problems in depth estimation. Previous work has modeled the single-occluder occlusion in light field and get good results, however it is still difficult to obtain accurate depth for multi-occluder occlusion. In this paper, we explore the multi-occluder occlusion model in light field, and derive the occluder-consistency between the spatial and angular space which is used as a guidance to select the un-occluded views for each candidate occlusion point. Then an anti-occlusion energy function is built to regularize depth map. The experimental results on public light field datasets have demonstrated the advantages of the proposed algorithm compared with other state-of-the-art light field depth estimation algorithms, especially in multi-occluder areas.

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