grant

Identifying non-human primate models for specific human microbiome traits

Organization NORTHWESTERN UNIVERSITYLocation Chicago, UNITED STATESPosted 15 Aug 2024Deadline 31 Oct 2026
NIHUS FederalResearch GrantFY2025AccelerationAnimal ModelAnimal Models and Related StudiesAotus trivirgatusAreaAttentionBaboonsBehavioralBiologic ModelsBiological MarkersBiological ModelsBiologyBloodBlood Reticuloendothelial SystemBlood SampleBlood SerumBlood specimenCallithrixCausalityCell BodyCellsCercopithecid monkeyCercopithecidaeCercopithecidsChimpChimpanzeeClinicalClinical ResearchClinical StudyDataDevelopmentDigestive PhysiologyDiseaseDisorderELISAEnzyme-Linked Immunosorbent AssayEtiologyExhibitsFailureFishesFoundationsFunctional MetagenomicsFutureGI microbiomeGI microbiotaGastrointestinal microbiotaGeneral TaxonomyGenesGeneticGoalsHapaleHealthHumanHuman MicrobiomeImmuneImmunesImmunityIntermediary MetabolismInvestigatorsInvestmentsKnowledgeLinkMacacaMacaqueMarmosetsMeasuresMedicalMetabolicMetabolic ProcessesMetabolismMetagenomicsMiceMice MammalsMicrobiomicsModel SystemModelingModern ManMurineMusNHP modelsNational Institutes of HealthNight MonkeyNorthern Night MonkeyOld World MonkeysOrganism-Level ProcessOrganismal ProcessPapioPatternPhysiologicPhysiologic ProcessesPhysiologicalPhysiological ProcessesPhysiologyPopulationPrimatesPrimates MammalsProductionResearchResearch PersonnelResearch ResourcesResearchersResourcesSaimiriSaimirusSerumShort-Chain Fatty AcidsShort-Tusked MarmosetShotgunsSquirrel MonkeyTaxonomyTestingTherapeuticTranslational ResearchTranslational ScienceTranslationsUnited States National Institutes of HealthVariantVariationVolatile Fatty Acidsbio-markersbiologic markerbiomarkercausationdevelopmentaldigestive tract microbiomedisease causationenteric microbial communityenteric microbiomeenteric microbiotaenzyme linked immunoassayfecal samplegastrointestinal microbial floragastrointestinal microbiomegut communitygut floragut microbe communitygut microbial communitygut microbial compositiongut microbial consortiagut microbiomegut microbiotagut microbioticgut microfloragut-associated microbiomehost microbe associationhost microbe relationshiphost microbiomehost-microbe interactionshost-microbial interactionshost-microorganism interactionshuman datahuman florahuman microbial communitieshuman microbiotahuman microflorahuman modelhuman subjecthuman-associated microbial communitieshuman-associated microbiomehuman-associated microbiotaimprovedinsightintestinal biomeintestinal floraintestinal microbiomeintestinal microbiotaintestinal microfloraintestinal tract microflorametabolism measurementmetabolomicsmetabonomicsmicrobialmicrobiomemicrobiome community compositionmicrobiome compositionmicrobiome interventionmicrobiome researchmicrobiome sciencemicrobiome species compositionmicrobiome structuremicrobiome studiesmicrobiome therapeuticsmicrobiome therapymicrobiome treatmentmicrobiome-based interventionmicrobiome-based therapeuticmicrobiome-based therapymicrobiome-based treatmentmodel of animalmodel of humanmodel organismmouse modelmurine modelnon-human primatenonhuman primatenonhuman primate modelsowl monkeyshot gunstool samplestool specimentherapeutic agent developmenttherapeutic developmenttraittranslationtranslation researchtranslational investigationtranslational opportunitiestranslational potentialtranslational study
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Full Description

Abstract: The gut microbiota is increasingly recognized as an important contributor to a range of human
physiological processes and is attracting increasing attention as a dynamic area for the development of

therapeutics. To realize the potential of the gut microbiome in a therapeutic context, animal models are

necessary to generate causal, mechanistic data describing host-microbe interactions. While mice and fish have

been critical in generating foundational microbiome data toward this goal, they have key genetic, physiological,

and behavioral differences from humans that can interfere with the translation of findings. Non-human primates

share many genetic, physiological, and behavioral traits with humans, increasing their translational potential.

Although non-human primates are used for research across the NIH, they are currently underutilized in

microbiome research and have not been systematically validated as models in this context. Given the

significant investment required for non-human primate studies, it is especially important to characterize which

models are best suited for particular questions as we seek to examine how microbiomes impact human health

and disease. Here we propose to develop non-human primates as valuable model organisms for functional

studies of the human microbiota. Specifically, we aim to identify the best uses for different non-human primate

species in microbiome research. We will generate baseline microbiome (shotgun metagenomics, analysis of

SCFA concentrations, untargeted metabolomics) and physiological data (metabolic panels, immune cell

populations, serum metabolomics) from humans and five non-human primate species commonly used as

biomedical models (marmosets, owl monkeys, squirrel monkeys, baboons, and macaques). These data will

allow us to determine which non-human primate species model different taxonomic and functional features of

the human gut microbiome and to measure the consistency of host-microbiome interactions across human and

non-human primate species. Our efforts hold potential to unlock critical insight about the utility of longstanding

non-human primate biomedical models for different aspects of microbiome research and will ultimately help

researchers accelerate the translation of microbiome discoveries into clinical settings. By identifying how well

different non-human primate species model humans in a subclinical context, the proposed project will lay the

groundwork for future R01 proposals that use non-human primate models to interrogate host-microbe

interactions in a disease context. Overall, this line of inquiry will facilitate future studies targeting key questions

about host-microbe interactions with a high potential for translational science and medical benefit.

Grant Number: 5R21OD033659-02
NIH Institute/Center: NIH

Principal Investigator: Katherine Amato

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