grant

Microbiome profiles, sleep, and cognition among mid-life adults

Organization FLORIDA INTERNATIONAL UNIVERSITYLocation MIAMI, UNITED STATESPosted 20 Sept 2017Deadline 31 May 2027
NIHUS FederalResearch GrantFY202521+ years oldAD dementiaAdultAdult HumanAeroseb-HCAffectAlzheimer Type DementiaAlzheimer disease dementiaAlzheimer risk factorAlzheimer sclerosisAlzheimer syndromeAlzheimer'sAlzheimer's DiseaseAlzheimer's disease riskAlzheimers DementiaAnimal ModelAnimal Models and Related StudiesBrainBrain Nervous SystemCell Communication and SignalingCell SignalingCetacortCognitionCognitiveCognitive DisturbanceCognitive ImpairmentCognitive declineCognitive function abnormalCollectionCommunitiesCort-DomeCortefCortenemaCortisolCortisprayCortrilCountyDataData CollectionDermacortDevelopmentDevicesDisturbance in cognitionEldecortEncephalonEndocrine Gland SecretionEnrollmentExhibitsFloridaFundingFutureGI microbiomeGI microbiotaGastrointestinal microbiotaGenesHPA axisHormonalHormonesHourHydrocortisoneHydrocortoneHytoneImmunochemical ImmunologicImmunologicImmunologicalImmunologicallyImmunologicsImpaired cognitionInfluentialsInternationalInterventionIntracellular Communication and SignalingInvestigationInvestigatorsLatinoLife CycleLife Cycle StagesLongitudinal StudiesMeasuresMediationMicrobiologyMicrobiomicsMinority-Serving InstitutionModelingMolecularNCMHDNIMHDNational Center on Minority Health and Health DisparitiesNational Institute of Minority Health and Health DisparitiesNational Institute on Minority Health and Health DisparitiesNegotiatingNegotiationNerve DegenerationNetwork AnalysisNeurocognitiveNeurologicNeurologicalNeuron DegenerationNutracortParticipantPathway AnalysisPathway interactionsPatient RecruitmentsPolysomnographyPopulationPositionPositioning AttributePrimary Senile Degenerative DementiaProctocortR-Series Research ProjectsR01 MechanismR01 ProgramRecommendationResearchResearch GrantsResearch PersonnelResearch Project GrantsResearch ProjectsResearch ResourcesResearchersResourcesRisk FactorsRoleSalivarySamplingSignal TransductionSignal Transduction SystemsSignalingSleepSleep DisordersSleep MonitoringSleep disturbancesSomnographyStatistical MethodsStressStructureSymptomsSystemTherapeutic HormoneTimeUniversitiesVariantVariationWhole-Genome Shotgun SequencingWristaberrant sleepactigraphactigraphyadulthoodage groupalzheimer riskanalyze microbiomebiological sexbiological signal transductioncircadiancognitive assessmentcognitive dysfunctioncognitive losscognitive testingcommunity livingdevelopmentaldigestive tract microbiomedisrupted sleepdisturbed sleepdysbacteriosisdysbiosisdysbioticenrollenteric microbial communityenteric microbiomeenteric microbiotafecal metabolomefecal microbiomefecal samplegastrointestinalgastrointestinal microbial floragastrointestinal microbiomegut communitygut floragut microbe communitygut microbial communitygut microbial compositiongut microbial consortiagut microbiomegut microbiotagut microbioticgut microfloragut-associated microbiomehypothalamic-pituitary-adrenal (HPA) axishypothalamic-pituitary-adrenal axishypothalmus-pituitary-adrenal axisimpaired sleepinnovateinnovationinnovativeintestinal biomeintestinal floraintestinal microbiomeintestinal microbiotaintestinal microfloraintestinal tract microflorairregular sleeplate in lifelate lifelife courselong-term studylongitudinal outcome studiesmachine learned algorithmmachine learning algorithmmachine learning based algorithmmalleable riskmetabolic profilemicrobialmicrobial compositionmicrobial imbalancemicrobiomemicrobiome analysismicrobiome researchmicrobiome sciencemicrobiome studiesmid lifemid-lifemiddle agemiddle agedmidlifeminority institutionmodel of animalmodifiable riskneural degenerationneurodegenerationneurodegenerativeneurological degenerationneuronal degenerationnovelparticipant recruitmentpathwaypoor sleepprimary degenerative dementiaquality of sleeprecruitsaliva samplesalivary samplesenile dementia of the Alzheimer typesleep amountsleep behaviorsleep diseasessleep disruptionsleep durationsleep dysfunctionsleep dysregulationsleep episodesleep habitsleep healthsleep hygienesleep illnesssleep intervalsleep lengthsleep measurementsleep patternsleep periodsleep polysomnographysleep problemsleep qualitysleep quantitysleep routinesleep schedulesleep timesleep wellnesssleep/wake behaviorsleep/wake disruptionsleep/wake disturbancesleep/wake patternssocial rolestatistic methodsstool microbiomestool samplestool specimenstool-associated microbiometime asleeptime during sleeptime in sleeptime spent asleeptime spent sleeping
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Full Description

Emerging evidence suggests a bidirectional relationship between sleep disturbance and alterations in the gut microbiome. This study aims to examine the effect of sleep health and dysfunction in influencing cognition while accounting for the role of the gut microbiome in a community-based sample of Hispanic midlife adults. Despite its importance, studies exploring the effect of sleep on the gut microbiome and the subsequent impact on cognition are extremely limited. Of the preliminary investigations that do exist, none have been conducted with Hispanic community-living samples.

Our proposed study is innovative in that it includes cognitive measures, cortisol sampling, and objective measures of sleep. There is an urgent need for studies of this kind, given that the gut microbiome may have a direct effect on cognition and sleep, positioning it as a modifiable risk factor for cognitive decline. Sleep disturbance, a modifiable risk factor for cognitive decline, including Alzheimer’s disease, is bidirectionally related to the gut microbiome, variations in sleep patterns affect the structure and variation of the gut microbiota, and the gut microbiome is influential in circadian cycles and hormones related to sleep and waking. Investigations examining the microbiota-gut-brain axis are essential in community-based samples to find modifiable risk factors for cognitive decline and inform novel interventions.

We will recruit 150 midlife Hispanic adults residing in South Florida through staggered recruitment and leveraging our existing resources. Each participant will be administered a battery of neurocognitive and sleep assessments and will provide objective sleep data through a wrist-worn actigraphy device, 3 saliva samples in one day to assess salivary cortisol, and a stool sample to examine the gut microbiome through whole-genome shotgun sequencing. Using this data, we will examine four aims: Aim 1. Using integrated microbiome analyses, we will examine correlations between gut microbiome profiles and measures of cognition.

Aim 2. We will examine the bivariate relationship between sleep and gut microbiome profiles. Aim 3a: We will examine the relation between sleep and measures of cognition. Aim 3b: We will examine the interconnections between gut microbiome profiles, measures of cognition, and sleep using two mediation models.

Aim 4: We will examine the interrelations between gut microbiome profiles, stress (salivary cortisol), measures of cognition, and sleep. Using an integrated analysis of the gut microbiome, cognition, stress through salivary cortisol, and sleep measurements, our study will be among the first to explore the interrelations of gut microbiome and microbial profiles, stress, cognition, and sleep to conduct future life course longitudinal studies and understand the changing effects over time.

Grant Number: 5U54MD012393-09
NIH Institute/Center: NIH

Principal Investigator: Shanna Burke

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