grant

Phosphatidylcholine and cholesterol ester biomarkers of type 2 diabetes and preventive treatment effects

Organization BETH ISRAEL DEACONESS MEDICAL CENTERLocation BOSTON, UNITED STATESPosted 1 Aug 2021Deadline 30 Aug 2026
NIHUS FederalResearch GrantFY202521+ years oldActive Follow-upAddressAdultAdult HumanAdult-Onset Diabetes MellitusAdvisory CommitteesAromatic Amino AcidsBehavior Conditioning TherapyBehavior ModificationBehavior TherapyBehavior TreatmentBehavioralBehavioral Conditioning TherapyBehavioral ModificationBehavioral TherapyBehavioral TreatmentBiological MarkersBlood PlasmaCardiometabolic DiseaseCardiometabolic DisorderCholesterol EstersCholesteryl EstersCholine GlycerophospholipidsCholine PhosphoglyceridesClinicalClinical MarkersClinical ResearchClinical StudyClinical TrialsConditioning TherapyDataDevelopmentDiabetes MellitusDiabetes preventionDimethylbiguanidineDimethylguanylguanidineDiseaseDisease ProgressionDisorderDrug TherapyEndocrinologyFacultyFoundationsFutureGeneticGenetic DeterminismGenetic studyGlycohemoglobin AGlycosylated hemoglobin AGoalsHb A1Hb A1a+bHb A1cHbA1HbA1cHemoglobin A(1)HeterogeneityHospitalsHumanImpairmentIncidenceIndividualIndividual DifferencesInsulin ResistanceIsraelKetosis-Resistant Diabetes MellitusLecithinLife StyleLifestyleLipidsM.P.H.Mass Photometry/Spectrum AnalysisMass SpectrometryMass SpectroscopyMass SpectrumMass Spectrum AnalysesMass Spectrum AnalysisMaster of Public HealthMaturity-Onset Diabetes MellitusMeasurementMeasuresMedical centerMendelian randomizationMentorsMetabolic PathwayMetabolism and EndocrinologyMetforminModelingModern ManMolecularMolecular FingerprintingMolecular ProfilingN,N-dimethyl-imidodicarbonimidic diamideNIDDMNational Institutes of HealthNewly DiagnosedNon-Insulin Dependent DiabetesNon-Insulin-Dependent Diabetes MellitusNoninsulin Dependent DiabetesNoninsulin Dependent Diabetes MellitusParticipantPathway interactionsPatientsPharmacological TreatmentPharmacotherapyPhenotypePhosphatidesPhosphatidylcholinesPhospholipidsPhysiciansPilot ProjectsPlasmaPlasma SerumPopulationPrediabetesPrediabetes syndromePrediabetic StatePrediction of Response to TherapyPrevalencePreventative interventionPreventative treatmentPreventionPreventive treatmentProbabilistic ModelsProbability ModelsProspective, cohort studyRandomizedRandomized, Controlled TrialsResearchResearch DesignReticuloendothelial System, Serum, PlasmaRiskRisk FactorsSamplingScientistSlow-Onset Diabetes MellitusStable Diabetes MellitusStatistical ModelsStudy TypeSubgroupT2 DMT2DT2DMTask ForcesTestingTrainingTraining ProgramsTranslational ResearchTranslational ScienceType 2 Diabetes MellitusType 2 diabetesType II Diabetes MellitusType II diabetesUnited States National Institutes of HealthVariantVariationWorkactive followupadult onset diabetesadulthoodadvisory teambehavior interventionbehavioral interventionbio-markersbiologic markerbiomarkerbiomarker discoveryblood glucose regulationburden of diseaseburden of illnesscareer developmentclinical biomarkersclinical decision-makingclinical phenotypeclinical predictive modelclinical riskclinically useful biomarkerscohortcomputer based predictionconferenceconventiondevelopmentaldiabetesdiabetes geneticsdiabetes mellitus geneticsdiabetes prevention programdiabetes riskdisease burdendrug interventiondrug treatmenteffective therapyeffective treatmentexperiencefasting glucosefasting plasma glucosefollow upfollow-upfollowed upfollowupfunctional genomicsgene locusgenetic determinantgenetic locusgenomic locationgenomic locusglucose controlglucose homeostasisglucose regulationhemoglobin A1chigh riskhigh risk grouphigh risk individualhigh risk peoplehigh risk populationimpaired glucose toleranceinsightinsulin resistantinsulin toleranceinterestintervention for preventionketosis resistant diabeteslab experiencelab traininglaboratory experiencelaboratory trainingmaturity onset diabetesmembermetabolism measurementmetabolomicsmetabonomicsmolecular profilemolecular signaturemultiomicsmultiple omicsnew approachesnew markernovelnovel approachesnovel biomarkernovel markernovel strategiesnovel strategypanomicspathwaypharmaceutical interventionpharmacological interventionpharmacological therapypharmacology interventionpharmacology treatmentpharmacotherapeuticspilot studypopulation basedpre-diabetespre-diabeticprediabeticpredict therapeutic responsepredict therapy responsepredictive biological markerpredictive biomarkerspredictive markerpredictive modelingpredictive molecular biomarkerpreventpreventingprevention interventionpreventional intervention strategypreventive interventionprospectiverandomisationrandomizationrandomized control studyrandomized control trialrandomized, controlled studyrandomly assignedrecruitresponseskillssmall moleculestatistical linear mixed modelsstatistical linear modelsstudy designsummitsymposiasymposiumtherapy predictiontraittranslation researchtranslational investigationtreatment choicetreatment effecttreatment predictiontreatment response predictiontreatment strategytrial comparingtype 2 DMtype II DMtype two diabetes
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Full Description

PROJECT SUMMARY/ABSTRACT
Background: The increasing incidence and prevalence of type 2 diabetes (T2D) can be mitigated by

successful prevention with behavioral changes or pharmacotherapy in individuals that are at high risk.

Identifying a specific individual’s risk for diabetes and which preventive treatment will be most effective,

however, remains a clinical dilemma. Metabolite biomarkers represent a novel approach to addressing these

clinical challenges and may also reveal mechanisms of disease development. This five-year mentored career

development proposal details a translational research training program in biomarker discovery and clinical

study implementation with a goal of identifying metabolite predictors of diabetes and preventive treatment

effect. Candidate: The applicant is a recently appointed Endocrinology faculty member at Beth Israel

Deaconess Medical Center with a long-term goal to become a physician-scientist who investigates metabolic

pathways involved in T2D development and progression. She has 2.5 years of experience in molecular

profiling in large human studies and the outlined proposal builds on this background to provide new domains of

expertise including prediction modeling, genetics, and clinical study design. Training: The applicant’s

development will occur through a blend of laboratory training, didactic courses (including an ongoing MPH),

and scientific conferences. The candidate’s mentor is a recognized leader in molecular profiling, integrative

“omics”, and cardiometabolic diseases. Her co-mentor is a leader in T2D genetics, and the members of her

advisory committee have a distinguished mentoring record and vast expertise in T2D, non-targeted

metabolomics, statistical modeling, and clinical trials. Research: Recently, the applicant identified unique

metabolite profiles associated with T2D in a large, randomized control trial that compared lifestyle changes and

metformin therapy for T2D prevention in individuals with impaired glucose regulation. These associations,

including specific phosphatidylcholines and cholesterol esters, remained after adjustments for traditional

clinical risk factors suggesting they could serve as predictors of T2D. Furthermore, these metabolites were

associated with different rates of T2D progression after lifestyle or metformin treatment and may help guide

T2D prevention decisions. The applicant proposes to further extend these findings by (Aim 1) creating

metabolite multi-marker prediction models to assess the ability of these metabolites to prospectively predict

diabetes development, (Aim 2A) integrate these findings with genetics to uncover metabolic pathways that

underly these associations and if they cause diabetes, (Aim 2B) leverage genetics to also identify completely

novel circulating small molecules associated with T2D, and (Aim 3) conduct a small prospective cohort study to

externally validate these metabolites as predictive biomarkers in a real-world clinical setting. This work will lay

the foundation for an NIH R01 application for a clinical trial to assess the predictive utility of metabolite

biomarkers for diabetes prevention and transition the candidate to research independence.

Grant Number: 5K23DK127073-05
NIH Institute/Center: NIH

Principal Investigator: Zsu-Zsu Chen

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