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Computational Characterization of Environmental Enteropathy

Computational Characterization of Environmental Enteropathy
环境性肠病的计算表征
批准号:
10164762
负责人:
Sana Syed
金额:
$19.26万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-08-01 至 2024-05-31
关键词:
5 year oldAddressAgeAlgorithmsAntigensAsiaBangladeshiBile AcidsBiochemicalBiologicalBiological MarkersBiopsyBirthCaringCeliac DiseaseCessation of lifeChildChildhoodChronicClassificationClinicalClinical MarkersClinical ResearchCognitive deficitsCohort StudiesCollaborationsComputing MethodologiesData ScienceDetectionDevelopmentDevelopment PlansDiagnosisDiagnosticDuodenumEnvironmental Risk FactorEtiologyExhibitsExposure toFailureFoundationsFundingGastroenterologistGenetic RiskGenetic TranscriptionGlutenGoalsGoldGrowthHealthHistologicHistologyHistopathologyHuman PathologyImageImmune responseImpairmentInflammationInjuryIntestinal permeabilityIntestinesK-Series Research Career ProgramsKnowledgeLactuloseLamina PropriaLeadLengthLinkLymphocytosisMS4A1 geneMalnutritionMeasurementMeasuresMediatingMentorsMentorshipMetabolicMilieu TherapyMorphologyMucositisMultiomic DataNeurocognitivePakistanPathogenesisPathologicPathway interactionsPatternPhysiciansPopulationPopulations at RiskPrevalencePublicationsResearchResourcesRhamnoseRisk FactorsRoleScientistSeveritiesSmall IntestinesStandardizationStructureSystemTimeTissuesTrainingTranslational ResearchUniversitiesVaccinesValidationVillousVillous AtrophyVirginiaVisualWorkabsorptionbasecareercareer developmentcirculating biomarkersclinical phenotypecohortdeep learningdietarydisorder controleffective interventioneffective therapyenteric pathogenepithelium regenerationimaging approachimmunogenicityimprovedintraepitheliallow and middle-income countriesmicrobiomemortalitymultiple omicsnovelnovel markernovel therapeuticsnutrient absorptionnutritionoral vaccinepatient orientedsocioeconomicssystemic inflammatory responsetissue injurytranscriptomeurinary

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中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT Undernutrition afflicts 20% of children < 5 years of age in low- and middle-income countries (LMICs) and is a major risk factor for mortality. Linear growth failure (or stunting) in children is tightly linked to irreversible physical and cognitive deficits, with profound implications for development. A common cause of stunting in LMICs is Environmental Enteropathy (EE) which has also been linked to decreased oral vaccine immunogenicity. To date, there are no universally accepted, clear diagnostic algorithms or non-invasive biomarkers for EE making this a critical priority. In this K23 Mentored Career Development Award application, Dr. Sana Syed, a Pediatric Gastroenterologist with advanced training in Nutrition at the University of Virginia, proposes to 1) Develop and validate a Deep Learning Net to identify morphological features of EE versus celiac and healthy small intestinal tissue, 2) correlate the Deep Learning Net identified distinguishing EE intestinal tissue findings with clinical phenotype, measures of gut barrier and absorption, and bile acid deconjugation, and 3) Use a Deep Learning Net computational approach to identify distinguishing multiomic patterns of EE versus celiac disease. This work will be carried out in the context of an ongoing birth cohort study of environmental enteropathy in Pakistan (SEEM). Dr. Syed proposes a career development plan which includes mentorship, fieldwork, coursework, publications, and clinical time that will situate her as an independent physician-scientist with expertise in translational research employing computational `omics and image approaches to elucidate biologic mechanisms of stunting pathways and in identification of novel and effective therapies for EE.
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Predicting Clinical Phenotypes in Crohn's Disease Using Machine Learning and Single-Cell 'omics
  • 批准号:
    10586795
  • 项目类别:
  • 资助金额:
    $71.24万
  • 财政年份:
    2023
  • 负责人:
    Sana Syed
  • 依托单位:
Population-Based Characterization of Metabolic Pathways to Predict Pediatric Crohn's Disease Outcomes
  • 批准号:
    10418965
  • 项目类别:
  • 资助金额:
    $71.85万
  • 财政年份:
    2022
  • 负责人:
    Sana Syed
  • 依托单位:
Population-Based Characterization of Metabolic Pathways to Predict Pediatric Crohn's Disease Outcomes
  • 批准号:
    10660989
  • 项目类别:
  • 资助金额:
    $71.39万
  • 财政年份:
    2022
  • 负责人:
    Sana Syed
  • 依托单位:
Computational Characterization of Environmental Enteropathy
  • 批准号:
    10627838
  • 项目类别:
  • 资助金额:
    $19.26万
  • 财政年份:
    2019
  • 负责人:
    Sana Syed
  • 依托单位:
海外基金