Feasibility of MR-Based Body Composition Analysis in Large Scale Population Studies

Introduction Quantitative and accurate measurements of fat and muscle in the body are important for prevention and diagnosis of diseases related to obesity and muscle degeneration. Manually segmenting muscle and fat compartments in MR body-images is laborious and time-consuming, hindering implementation in large cohorts. In the present study, the feasibility and success-rate of a Dixon-based MR scan followed by an intensity-normalised, non-rigid, multi-atlas based segmentation was investigated in a cohort of 3,000 subjects. Materials and Methods 3,000 participants in the in-depth phenotyping arm of the UK Biobank imaging study underwent a comprehensive MR examination. All subjects were scanned using a 1.5 T MR-scanner with the dual-echo Dixon Vibe protocol, covering neck to knees. Subjects were scanned with six slabs in supine position, without localizer. Automated body composition analysis was performed using the AMRA Profiler™ system, to segment and quantify visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue (ASAT) and thigh muscles. Technical quality assurance was performed and a standard set of acceptance/rejection criteria was established. Descriptive statistics were calculated for all volume measurements and quality assurance metrics. Results Of the 3,000 subjects, 2,995 (99.83%) were analysable for body fat, 2,828 (94.27%) were analysable when body fat and one thigh was included, and 2,775 (92.50%) were fully analysable for body fat and both thigh muscles. Reasons for not being able to analyse datasets were mainly due to missing slabs in the acquisition, or patient positioned so that large parts of the volume was outside of the field-of-view. Discussion and Conclusions In conclusion, this study showed that the rapid UK Biobank MR-protocol was well tolerated by most subjects and sufficiently robust to achieve very high success-rate for body composition analysis. This research has been conducted using the UK Biobank Resource

A randomized controlled trial of metformin on left ventricular hypertrophy in patients with coronary artery disease without diabetes:the MET-REMODEL trial

Aim We tested the hypothesis that metformin may regress left ventricular hypertrophy (LVH) in patients who have coronary artery disease (CAD), with insulin resistance (IR) and/or pre-diabetes. Methods and results We randomly assigned 68 patients (mean age 65 ± 8 years) without diabetes who have CAD with IR and/or pre-diabetes to receive either metformin XL (2000 mg daily dose) or placebo for 12 months. Primary endpoint was change in left ventricular mass indexed to height1.7 (LVMI), assessed by magnetic resonance imaging. In the modified intention-to-treat analysis (n = 63), metformin treatment significantly reduced LVMI compared with placebo group (absolute mean difference −1.37 (95% confidence interval: −2.63 to −0.12, P = 0.033). Metformin also significantly reduced other secondary study endpoints such as: LVM (P = 0.032), body weight (P = 0.001), subcutaneous adipose tissue (P = 0.024), office systolic blood pressure (BP, P = 0.022) and concentration of thiobarbituric acid reactive substances, a biomarker for oxidative stress (P = 0.04). The glycated haemoglobin A1C concentration and fasting IR index did not differ between study groups at the end of the study. Conclusion Metformin treatment significantly reduced LVMI, LVM, office systolic BP, body weight, and oxidative stress. Although LVH is a good surrogate marker of cardiovascular (CV) outcome, conclusive evidence for the cardio-protective role of metformin is required from large CV outcomes trials

A follow-up study for left ventricular mass on chromosome 12p11 identifies potential candidate genes

<p>Abstract</p> <p>Background</p> <p>Left ventricular mass (LVM) is an important risk factor for cardiovascular disease. Previously we found evidence for linkage to chromosome 12p11 in Dominican families, with a significant increase in a subset of families with high average waist circumference (WC). In the present study, we use association analysis to further study the genetic effect on LVM.</p> <p>Methods</p> <p>Association analysis with LVM was done in the one LOD critical region of the linkage peak in an independent sample of 897 Caribbean Hispanics. Genotype data were available on 7085 SNPs from 23 to 53 MB on chromosome 12p11. Adjustment was made for vascular risk factors and population substructure using an additive genetic model. Subset analysis by WC was performed to test for a difference in genetic effects between the high and low WC subsets.</p> <p>Results</p> <p>In the overall analysis, the most significant association was found to rs10743465, downstream of the <it>SOX5 </it>gene (p = 1.27E-05). Also, 19 additional SNPs had nominal p < 0.001. In the subset analysis, the most significant difference in genetic effect between those with high and low WC occurred with rs1157480 (p = 1.37E-04 for the difference in β coefficients), located upstream of <it>TMTC1</it>. Twelve additional SNPs in or near 6 genes had p < 0.001.</p> <p>Conclusions</p> <p>The current study supports previously identified evidence by linkage for a genetic effect on LVM on chromosome 12p11 using association analysis in population-based Caribbean Hispanic cohort. <it>SOX5 </it>may play an important role in the regulation of LVM. An interaction of <it>TMTC1 </it>with abdominal obesity may contribute to phenotypic variation of LVM.</p

Effects of Engineered Nanoparticles on the Assembly of Exopolymeric Substances from Phytoplankton

The unique properties of engineered nanoparticles (ENs) that make their industrial applications so attractive simultaneously raise questions regarding their environmental safety. ENs exhibit behaviors different from bulk materials with identical chemical compositions. Though the nanotoxicity of ENs has been studied intensively, their unintended environmental impacts remain largely unknown. Herein we report experimental results of EN interactions with exopolymeric substances (EPS) from three marine phytoplankton species: Amphora sp., Ankistrodesmus angustus and Phaeodactylum tricornutum. EPS are polysaccharide-rich anionic colloid polymers released by various microorganisms that can assemble into microgels, possibly by means of hydrophobic and ionic mechanisms. Polystyrene nanoparticles (23 nm) were used in our study as model ENs. The effects of ENs on EPS assembly were monitored with dynamic laser scattering (DLS). We found that ENs can induce significant acceleration in Amphora sp. EPS assembly; after 72 hours EN-EPS aggregation reached equilibrium, forming microscopic gels of ∼4–6 µm in size. In contrast, ENs only cause moderate assembly kinetic acceleration for A. angustus and P. tricornutum EPS samples. Our results indicate that the effects of ENs on EPS assembly kinetics mainly depend on the hydrophobic interactions of ENs with EPS polymers. The cycling mechanism of EPS is complex. Nonetheless, the change of EPS assembly kinetics induced by ENs can be considered as one potential disturbance to the marine carbon cycle

Experimental Validation of Laminar Flame Speed Model for CH4/Diesel Dual Fuel Engine applied to H2/Diesel Combustion

Despite of having high thermal efficiency and wide range of operation, compression ignition (CI) engines have high exhaust emissions of particulate matter (PM) and nitrogen oxides (NOx) which are harmful for the environment. In order to keep up with the latest stringent regulations on emissions, CI engines have been pushed to work with different fuels. In particular, the usage of gaseous fuels along with diesel fuel in dual fuel mode demonstrated to be a valid solution, especially for large bore applications. Indeed, a large part of the diesel liquid fuel is substituted with alternative gaseous fuels that is injected into the intake manifold to form a premixed charge with air, which significantly reduces PM and, in many cases, NOx. Even though, methane has been the mostly used gaseous fuel for dual fuel CI engine, the necessity to reduce CO2 emissions as well, has led hydrogen to be one of the most promising alternatives. Because of its faster burning velocity and wide range of air to fuel ratios, a different model for its combustion must be used for predictive purposes. In current work, a dual-fuel combustion model has been implemented in GT-Power with the aim of simulating and investigating the characteristics of hydrogendiesel combustion. Initially, a dual fuel model with methane was used and experimentally validated. A laminar flame speed model was built and incorporated in the software with the approaches of Heywood and Gülder studies. Design of experiments and design optimizer were used to find the optimal values of the combustion model parameters matching in-cylinder pressure curves. Once the model was validated with methane, the same methodology has been adapted to use hydrogen instead. Two new correlations are built and implemented in the code starting from literature experimental measurements. The simulated results of hydrogen-diesel combustion allow to foresee a burn rate consistent with methanediesel one

A rare ophthalmic condition associated with primary hyperparathyroidism (PHPT): sclerochoroidal calcification (SC)

An 82-year-old male with a proven diagnosis of primary hyperparathyroidism (PHPT) was found to have bilateral changes in the fundi during a routine eye examination which were consistent with SC. In this report, we discuss the link between SC and PHPT and question the need for prospective observational studies to establish the true association between these conditions. Though screening PHPT patients for SC might not be justified/warranted given the benign course of the latter, patients with SC need to be assessed for PHPT, as the former may be the first clue to an underlying treatable systemic disease

Regulation of Let-7a-5p and miR-199a-5p Expression by Akt1 Modulates Prostate Cancer Epithelial-to-Mesenchymal Transition via the Transforming Growth Factor-&beta; Pathway

Akt1 suppression in advanced cancers has been indicated to promote metastasis. Our understanding of how Akt1 orchestrates this is incomplete. Using the NanoString&reg;-based miRNA and mRNA profiling of PC3 and DU145 cells, and subsequent data analysis using the DIANA-mirPath, dbEMT, nCounter, and Ingenuity&reg; databases, we identified the miRNAs and associated genes responsible for Akt1-mediated prostate cancer (PCa) epithelial-to-mesenchymal transition (EMT). Akt1 loss in PC3 and DU145 cells primarily induced changes in the miRNAs and mRNAs regulating EMT genes. These include increased miR-199a-5p and decreased let-7a-5p expression associated with increased TGF&beta;-R1 expression. Treatment with locked nucleic acid (LNA) miR-199a-5p inhibitor and/or let-7a-5p mimic induced expression changes in EMT genes correlating to their anticipated effects on PC3 and DU145 cell motility, invasion, and TGF&beta;-R1 expression. A correlation between increased miR-199a-5p and TGF&beta;-R1 expression with reduced let-7a-5p was also observed in high Gleason score PCa patients in the cBioportal database analysis. Collectively, our studies show the effect of Akt1 suppression in advanced PCa on EMT modulating miRNA and mRNA expression changes and highlight the potential benefits of miR-199a-5p and let-7a-5p in therapy and/or early screening of mPCa