31 research outputs found

    New genetic loci link adipose and insulin biology to body fat distribution.

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    Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms

    SDP‐based approach to monocular reconstruction of inextensible surfaces

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    This study addresses the problem of monocular reconstruction of surfaces that deform isometrically, using points tracked in a single image. To tackle this problem, a flat three‐dimensional (3D) shape of the surface and its image are used as template. Such deformations are characterised by certain geometric constraints and to reconstruct the surfaces, these constraints have to be properly exploited. Therefore, the authors propose an algebraic formula that aims at the joint expression of the geometric constraints, namely those based on the differential properties and also those based on the upper‐bound model. This expression is, in fact, a unique formulation that results from integrating these two types of constraints, and leads to the intended reconstructions, even when the surface is not strictly isometric. The template shape is used to set the parameters of the expression, which is then optimised (along with the projection equations) by means of a semi‐definite programming (SDP) problem. This optimisation enables the estimation of 3D positions of the points on the surface. However, and for implementation purposes, this optimisation is applied separately to patches which, together, make up the whole surface. The experimental results show that the proposed approach improves the results from other methods in terms of accuracy

    From D-RGB-based reconstruction toward a mesh deformation model for monocular reconstruction of isometric surfaces

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    In this paper, we address 3D reconstruction of surfaces deforming isometrically. Given that an isometric surface is represented by means of a triangular mesh and that feature/point correspondences on an image are available, the goal is to estimate the 3D positions of the mesh vertices. To perform such monocular reconstruction, a common practice is to adopt linear deformation model. We also integrate this model into a least-squares optimization. However, this model is obtained through a learning process requiring an adequate data set of possible mesh deformations. Providing this prior data is the primary goal of this work and therefore a novel reconstruction technique is proposed for a mesh overlaid across a typical isometric surface. This technique consists in the use of a range camera accompanied by a conventional camera and implements the path from the depth of the feature points to the 3D positions of the vertices through convex programming. The idea is to use the high-resolution images from the RGB camera in combination with the low-resolution depth map to enhance mesh deformation estimation. With this approach, multiple deformations of the mesh are recovered with the possibility that the resulting deformation model is simply extended to any other isometric surfaces for monocular reconstruction. Experimental results show that the proposed approach is robust to noise and generates accurate reconstruction

    Luminescent mononuclear and dinuclear cycloplatinated (II) complexes comprising azide and phosphine ancillary ligands

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    A new series of cycloplatinated (II) complexes with general formulas of [Pt (bhq)(N-3)(P)] [bhq = deprotonated 7,8-benzo[h]quinoline, P = triphenyl phosphine (PPh3) and methyldiphenyl phosphine], [Pt (bhq)(PP)]N-3 [PP = 1,1-bis (diphenylphosphino)methane (dppm) and 1,2-bis (diphenylphosphino)ethane] and [Pt-2(bhq)(2)(mu-PP)(N-3)(2)] [PP = dppm and 1,2-bis (diphenylphosphino)acetylene] is reported in this investigation. A combination of azide (N-3(-)) and phosphine (monodentate and bidentate) was used as ancillary ligands to study their influences on the chromophoric cyclometalated ligand. All complexes were characterized by nuclear magnetic resonance spectroscopy. To confirm the presence of the N-3(-) ligand directly connected to the platinum center, complex [Pt (bhq)(N-3)(PPh3)] was further characterized by single-crystal X-ray crystallography. The photophysical properties of the new products were studied by UV-Vis spectroscopy in CH2Cl2 and photoluminescence spectroscopy in solid state (298 or 77 K) and in solution (77 K). Using density functional theory calculations, it was proved that, in addition to intraligand charge-transfer (ILCT) and metal-to-ligand charge-transfer (MLCT) transitions, the L ' LCT (L ' = N-3, L = CN) electronic transition has a remarkable contribution in low energy bands of the absorption spectra (for complexes [Pt (bhq)(N-3)(P)] and [Pt-2(bhq)(2)(mu-PP)(N-3)(2)]). It is indicative of the determining role of the N-3(-) ligand in electronic transitions of these complexes, specifically in the low energy region. In this regard, the photoluminescence studies indicated that the emissions in such complexes originate from a mixed (ILCT)-I-3/(MLCT)-M-3 (intramolecular) and also from aggregations (intermolecular)
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