Alimentation saine | EPFL Graph Search

vignette|Les légumes verts, les plantes du genre Allium et les légumes crucifères sont des éléments clés d'une alimentation saine. vignette|Des fruits communs : pommes, poires, fraises, oranges, bananes, raisins, melons canaries, pastèque, melon, ananas et mangue. Une alimentation saine est une pratique alimentaire qui permet de maintenir ou d'améliorer sa santé générale. Une bonne alimentation fournit à l'organisme les nutriments essentiels : fluide, acides aminés essentiels des protéines, acides gras, vitamines, minéraux, et suffisamment de calories. Une alimentation saine peut être satisfaite par une variété d'aliments d'origine végétale ou animale. Elle fournit l'énergie nécessaire sans exposer à la toxicité ou un gain de poids excessif dû à une consommation excessive. Un régime sain (en plus de l'activité physique) est également important afin de réduire les risques de santé, comme l'obésité, les maladies cardiaques, le diabète de type 2, l'hypertension et le cancer. Co

Using medical images acquired during routine clinical care for research purposes: a comprehensive medical informatics approach applied to the study of brain development from birth through 2 years of age as indexed by diffusion MRI

Vincent Alexis Roch

Biologic variability and dramatic changes of brain development in children aged 0 to 2 years make it challenging to accurately detect subtle abnormalities in single Magnetic Resonance Imaging (MRI) scans. Diffusion MRI (dMRI) indices such as Apparent Diffusion Coefficient (ADC) are reliable measures of water content in the brain and thus an excellent surrogate marker for brain development. Developing robust age-specific diffusion biomarkers for quantitative measurement of normative brain evolution would enhance our ability to detect subtle alterations due to tissue injuries or neuropathological disorders. Obtaining significant numbers of normative MRI scans for this age group means redirecting clinical data from hospital databases for research purposes. Therefore, this pilot project demonstrates the feasibility of identifying, retrieving and analyzing pediatric clinical dMRI data to investigate normal brain development from birth to 2 years. Research Patient Data Registry (RPDR) at Massachusetts General Hospital (MGH) was used to collect patient medical information and identify healthy children according to radiology reports. Corresponding MRI data were retrieved from MGH Picture Archiving and Communication System (PACS) using the prototype of Medical Imaging Informatics Bench to Bedside (mi2b2) software. A specific pipeline was created to handle the volume of studies and extract technical scan information used to identify comparable diffusion series; 193 studies were used for analysis. Two markers, whole brain average of ADC and Fractional Anisotropy (FA) values (WBAADC and WBAFA), were computed for each patient, their age-evolution across patients was investigated with different models. WBAADC and WBAFA seem to exhibit biexponential decay and increase respectively and might be gender-specific. These results have clinical implications for potentially determining the health status of an unknown individual, and research utility for continued development of these tools.

2011

Ultra high magnetic field for glial contribution into brain metabolism studied by MR spectroscopy and CEST methods for molecular imaging of glycogen

Elise Marie Catherine Vinckenbosch

Magnetic resonance at ultra-high field increases signal and spectral dispersion. In this thesis, I use those characteristics to investigate three different subjects in 13C spectroscopy, hyperpolarized methods and chemical exchange saturation transfer (CEST) used for molecular imaging. In the brain, metabolism is driven by glia-neuron interactions and is composed of at least two compartments with distinct TCA cycle kinetics. The first study examines cerebral metabolic adaptation after an induced glial TCA-cycle impairment using 1H and 13C spectroscopy. We treated rats with fluoroacetate, which specifically blocks glial aconitase and measured changes in neurochemical profile at euglycemic and hyperglycemic condi-tions by in vivo 1H MR spectroscopy. In addition, we evaluated the brain-compartmentalized metabolic adap-tation by following 13C-incorporation into brain amino acids by modern dynamic 13C MRS methods during infu-sion of [1,6-13C2]glucose. By following [1,6-13C2]glucose incorporation, we successfully observed an augmen-tation of pyruvate carboxylase and glutamine synthetase fluxes and a 20% decrease of glial TCA cycle flux. Neuronal metabolism was also affected. In the second study, we focused on hyperpolarized methods to increase acetate 13C polarization allowing us to follow the kinetics of its metabolic products in the TCA cycle. Indeed, infusion of hyperpolarized [1-13C]acetate, an astrocyte-specific precursor, and the in vivo detection of 2-oxo[5-13C]glutarate (2OG), a TCA intermediate, enables the direct analysis of glial Krebs cycle activity. We examined the effect of hyperpolar-ized acetate concentration on its cerebral metabolism and calculate the production rate of 2OG. A healthy group was compared to rodents treated with fluoroacetate. The conversion rates of acetate to 2OG were calculated and were found to depend on the substrate dose. We successfully estimated 2OG production rates. In partially inhibited TCA cycle conditions, the production rate of 2OG was reduced by a quarter. This level of reduction is agrees with the percentage of inhibition calculated in the first study. Finally, we investigated glycogen imaging in skeletal muscle using the CEST strategy. It has been demonstrat-ed in perfused liver that glycogen can be detected indirectly through the water signal using CEST. Glycogen detection is, due to its resonance close to water, strongly sensitive to spectral dispersion and improved by a higher static magnetic field. In contrast to liver, which contains ~300 mmol/g of glycogen and enjoys good glycogen specificity, myocellular content is also rich in creatine, which produces a spectral signal on the same order of amplitude as its glycogen content of ~80-30 mmol/g. In this study, we allowed glycogen to be de-tectable in vivo and distinguishable from the neighboring creatine at 14.1T. We propose to use creatine as an internal reference for muscular glycoCEST analysis. Scanning muscle after physical exercise, resulted in a 50% reduction of glycoCEST compared to muscle at resting state. This result supportis the specificity of the CEST method and is consistent with literature. This last study demonstrates for the first time that glycoCEST imag-ing is feasible in vivo.

EPFL2018

Ultra high magnetic field for glial contribution into brain metabolism studied by MR spectroscopy and CEST methods for molecular imaging of glycogen

Elise Marie Catherine Vinckenbosch

EPFL2018

Vincent Alexis Roch

2011