Enabling accurate identification and quantification of brown adipose tissue mass by xenon enhanced computed tomography
Enabling accurate identification and quantification of brown adipose tissue mass by xenon enhanced computed tomography
批准号:
10052750
负责人:
Rosa Tamara Branca
金额:
$49.32万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2022-08-31
关键词:
AddressAdipose tissueAdoptedAdultAffectAnimal ModelBiopsyBlood flowBrown FatCardiovascular DiseasesClinicalComputational TechniqueContrast MediaCoupledDetectionDevelopmentDiabetes MellitusDoseEnergy IntakeEnergy MetabolismEpidemicEpidemiologyEvolutionGasesGoalsGoldGrowthHealth Care CostsHistologyHumanHuman BiologyHydration statusHypertrophyImaging TechniquesInhalationInsulinInsulin ResistanceInterventionKnowledgeLeadLongitudinal StudiesMeasurementMeasuresMethodsMonitorMorphologyNational Institute of Diabetes and Digestive and Kidney DiseasesNeedle biopsy procedureNon obeseNon-Insulin-Dependent Diabetes MellitusObesityOrganOverweightPET/CT scanPathogenesisPhenotypePlayPopulationPositron-Emission TomographyPrevalenceProtocols documentationPublishingRadiation exposureReproducibilityResearch PersonnelResearch Project GrantsResearch ProposalsResearch SubjectsRisk FactorsRoleSensitivity and SpecificitySpecificityStimulusTarget PopulationsTechniquesTherapeutic InterventionThermogenesisThinnessTissue DifferentiationTissuesTranslatingValidationWorkX-Ray Computed TomographyXenonbaseblood glucose regulationdiabetes mellitus therapyenergy balancefluorodeoxyglucoseglucose uptakehead-to-head comparisonimaging approachinsightlipophilicitylow dose computed tomographynew therapeutic targetnonhuman primatenovel strategiesnovel therapeutic interventionnovel therapeuticsobesity treatmentphantom modelpre-clinicalreconstructionresearch studyresponsesextargeted treatmenttomographytooluptake
中文摘要
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英文摘要
PROJECT SUMMARY / ABSTRACT
In the US, more than 36% of the population is obese and 9.4% has diabetes, most of which is type-2 diabetes
driven by obesity-associated insulin resistance. Current anti-obesity strategies have been proven to be largely
inadequate, and new-targeted therapies are desperately needed to stop this epidemic. At the fundamental
level, obesity results from the imbalance between energy intake and energy expenditure. The latter can be
regulated by the activity of brown adipose tissue (BAT), a tissue that plays a regulatory role not only in energy
balance, but also in glucose homeostasis. As a result, new therapeutic approaches are now being devised to
target BAT for the treatment of obesity and diabetes. However, a major roadblock to the development of such
therapies is the ability to detect and quantify BAT mass accurately. Current techniques are either too
insensitive, or lack the necessary specificity to differentiate this tissue from white adipose tissue. This is
especially true in overweight/obese subjects - the target population for interventional therapies targeting BAT.
The goal of the proposed research project is to develop a new imaging approach based on low-dose, xenon-
enhanced CT (XECT) that can detect BAT and yield accurate measurements of its mass, independently of its
activity. This proposal builds upon our preliminary results, in which we had shown that the inert and lipophilic
gas xenon can be used as a CT contrast agent to detect and quantify BAT mass. Regardless of the tissue's
thermogenic capacity, hydration status, and glucose uptake capacity, upon stimulation of thermogenic activity,
xenon accumulates into BAT at a concentration high enough to significantly change the radiodensity of this
tissue, making BAT visible in CT images.
Our objectives in this application are: a) to characterize xenon uptake dynamics in BAT as a function of tissue
hydration and thermogenic potency in lean and obese non human primates animal models; b) to characterize
and optimize low-dose XECT protocols for use in longitudinal studies in humans; and c) to establish that low-
dose XECT can correctly identify BAT with greater sensitivity and specificity than 18F-FDG-PET/CT, the most
widely used technique for measurement of BAT volume, using biopsy as ground truth.
XECT will enable accurate quantification of BAT mass in the general adult human population, while providing
new insights into the morphological changes that occur in this tissue during the onset of obesity. This project is
expected to have a high impact; this novel approach can be easily implemented on standard PET/CT platforms
and combined with other functional measures of BAT to increase their accuracy by reducing partial volume
effects. Accurate quantification of BAT mass and activity is expected to lead to a better understanding of the
growth, evolution, and remodeling of this tissue resulting from various stimuli and conditions.
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批准号:10370430
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资助金额:$1.23万
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财政年份:2011
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Novel Magnetic Resonance Approach to Detect BAT Distribution and Temperature
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资助金额:$28.88万
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财政年份:2010
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依托单位:
Sensitive and Specific Molecular Imaging of Pulmonary Nodules
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资助金额:$29.78万
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财政年份:2010
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依托单位:
HYPERPOLARIZED 3HE MR-LUNG CANCER LESIONS TAGGED BY TARGETED SPIONS
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项目类别:
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资助金额:$1.09万
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财政年份:2010
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负责人:Rosa Tamara Branca
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依托单位:
METASTATIC CELLS DETECTION IN LUNGS USING HP HE AND TARGETED CONTRAST AGENT
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批准号:8171594
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项目类别:
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资助金额:$1.09万
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财政年份:2010
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负责人:Rosa Tamara Branca
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依托单位:
Novel Magnetic Resonance Approach to Detect BAT Distribution and Temperature
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批准号:8043965
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项目类别:
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资助金额:$23.05万
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财政年份:2010
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依托单位:
Novel Magnetic Resonance Approach to Detect BAT Distribution and Temperature
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资助金额:$15.7万
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财政年份:2010
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负责人:Rosa Tamara Branca
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依托单位:
Sensitive and Specific Molecular Imaging of Pulmonary Nodules
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项目类别:
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资助金额:$30.45万
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财政年份:2010
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负责人:Rosa Tamara Branca
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依托单位:
Sensitive and Specific Molecular Imaging of Pulmonary Nodules
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项目类别:
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资助金额:$33.21万
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财政年份:2010
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依托单位:
FDG-PET DETECTION OF METABOLICALLY ACTIVE BROWN ADIPOSE TISSUE
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项目类别:
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资助金额:$0.55万
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财政年份:2010
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依托单位:
Sensitive and Specific Molecular Imaging of Pulmonary Nodules
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海外基金