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Fetal Programming of Human Newborn Energy Homeostasis Brain Networks

Fetal Programming of Human Newborn Energy Homeostasis Brain Networks
人类新生儿能量稳态大脑网络的胎儿编程
批准号:
10758984
负责人:
Jerod Michael Rasmussen
金额:
$24.9万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-02-01 至 2026-01-31
关键词:
AddressAdipose tissueAgeAnatomyBackBiological MarkersBiologyBirthBody mass indexBrainBrain imagingBreathingCerebrumChemical Shift ImagingCholesterolDataDevelopmentDevelopmental BiologyDietDiffusion Magnetic Resonance ImagingDiseaseDrug or chemical Tissue DistributionDual-Energy X-Ray AbsorptiometryEarly identificationEndocrineEndocrine systemEnrollmentEnvironmentEquilibriumEtiologyExhibitsFatty acid glycerol estersFunctional Magnetic Resonance ImagingFunding MechanismsGenetic RiskGestational AgeGlucoseGraphGrowthHealthHigh Density LipoproteinsHomeostasisHumanHydrocortisoneHypothalamic structureImmuneImmune systemIndividualIndividual DifferencesInfantInflammatoryInsulinInterleukin-6InterventionKnowledgeLifeLipidsLogicMachine LearningMagnetic Resonance ImagingMaternal-fetal medicineMeasuresMediatingMentorsMentorshipMetabolicMethodsModelingNeurologicNeurosciencesNewborn InfantNonesterified Fatty AcidsObesityOutcomePhasePhenotypePhysicsPhysiologicalPregnancyPrimary PreventionPrincipal Component AnalysisProceduresProcessPublic HealthResearchResearch ProposalsRewardsRiskRisk FactorsRoleSatiationScientific Advances and AccomplishmentsShapesStandardizationSurfaceSystemTNF geneTechnologyTerm BirthTestingTimeTrainingTriglyceridesValidationVariantWeightanalytical methodbrain circuitrybrain magnetic resonance imagingcareercareer developmentclinically significantcohortconnectomecost effectivedata reductiondesigndevelopmental plasticitydisorder riskenergy balancefetalfetal programminggestational weight gaingray matterimprovedinfancyinfant adipositymetabolic rateneuroimagingnewborn adipositynovelobesity in childrenobesity riskobesogenicobstetrical complicationpopulation basedpostnatalpredictive modelingprenatalprenatal stressprepregnancyprogramsprospectiverandom forestrecruitsexskillsvectorwhite matter

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This proposal describes a rigorous and comprehensive plan designed to obtain expert training in advanced MRI acquisition and analytical methods, developmental systems neuroscience, and fetal programming of health and disease risk. The proposed research relates to the public health problem of childhood obesity, with a specific focus on the characterization, role and determinants of energy homeostasis-related brain circuitry in the human newborn. Obesity is a multi-factorial phenotype. Among these factors, the critical importance of energy homeostasis (balance), and the hypothalamic-limbic-cortical brain circuitry that regulates it, is well established. However, it is unclear whether the observed difference in this brain circuitry between obese and normal-weight individuals is a cause or consequence of the obese state. Also, relatively little is known about the developmental origin (fetal and early postnatal) of variation in this brain circuitry and its prospective role in shaping propensity for childhood obesity. My proposal addresses this fundamental knowledge gap. I advance the overarching hypothesis that energy homeostasis brain circuitry a) already is established by the time of birth; b) exhibits developmental plasticity (fetal programming); and c) is functionally relevant (predicts postnatal adipose tissue accrual). The K99 mentored phase will be conducted under the mentorship of leading experts in fetal programming of health and disease (P. Wadhwa), brain imaging (P. Thompson), and developmental systems neuroscience (D. Fair). I will first develop novel MRI-based measures of the newborn brain circuitry underlying energy homeostasis, and then identify the prenatal determinants of variation in this circuitry. The importance of focusing efforts on the newborn brain derives from the logic that brain circuitry at this time is not yet influenced by postnatal factors. In the R00 phase, I will recruit a new cohort and use a repeated measures design to address the functional relevance of the initial (newborn) setting of this brain circuitry in the context of adipose tissue accrual over infancy (a key indicator of childhood obesity risk). K99/Aim 1. Develop measures of energy homeostasis brain circuitry using anatomical, diffusion and functional MRI. Because such measures have not yet been established in newborn homeostasis circuitry, this aim will fulfill an important and as yet unmet need in terms of not only scientific knowledge but also technical capability. K99/Aim 2. Identify the prenatal (gestational biology) determinants of variation in the measures of newborn brain energy homeostasis circuitry that are associated with infant adiposity. R00/Aim 3. Address the physiological relevance and clinical significance of these novel MRI-based newborn brain measures by testing the hypothesis that measures of the human newborn’s energy homeostasis brain circuitry are prospectively associated with infant adiposity and subsequent childhood obesity risk. R00/Aim 4. Consider the complimentary hypothesis that infant adiposity at birth is prospectively associated with changes in newborn energy homeostasis brain circuitry. Significance. By identifying the role and determinants of energy homeostasis-related brain circuitry in the human newborn, these findings will ultimately provide the basis for the subsequent development of strategies aimed at the primary prevention of childhood obesity.
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Fetal Programming of Human Newborn Energy Homeostasis Brain Networks and Infant Adiposity
  • 批准号:
    10022151
  • 项目类别:
  • 资助金额:
    $10.86万
  • 财政年份:
    2019
  • 负责人:
    Jerod Michael Rasmussen
  • 依托单位:
Fetal Programming of Human Newborn Energy Homeostasis Brain Networks And Infant Adiposity
  • 批准号:
    10405895
  • 项目类别:
  • 资助金额:
    $5.53万
  • 财政年份:
    2019
  • 负责人:
    Jerod Michael Rasmussen
  • 依托单位:
海外基金