grant

A new model system for assessing the socio-environmental determinants of the pace of aging: leveraging a long-term study of wild capuchins

Organization UNIVERSITY OF TEXAS SAN ANTONIOLocation SAN ANTONIO, UNITED STATESPosted 15 Sept 2022Deadline 31 Dec 2026
NIHUS FederalResearch GrantFY202621+ years oldAddressAdrenal GlandsAdrenalsAdultAdult HumanAgeAgingAmericasAnimal ModelAnimal Models and Related StudiesAssessment instrumentAssessment toolBackBehavior assessmentBehavioralBiologic ModelsBiologicalBiological AgingBiological MarkersBiological ModelsBirthBody SystemBrainBrain Nervous SystemCapuchin MonkeyCebusCebus capucinusCebus imitatorCellular Immune FunctionChronologyComplexCosta RicaDataData CollectionData SetDevelopmentDiet HabitsDietary HabitsDifferences between sexesDiffers between sexesDimensionsDorsumDroughtsElderlyElderly AssessmentEncephalonEnvironmental FactorEnvironmental Risk FactorEpigeneticEpigenetic ChangeEpigenetic MechanismEpigenetic ProcessFemaleFruitGI microbiomeGait speedGenerationsGeriatric AssessmentHealthHeterogeneityHumanIn SituIncrease lifespanIndividualIndividual DifferencesInflammationKnowledgeLaboratoriesLifeLife CycleLife Cycle StagesLife ExpectancyLife ExperienceLife StyleLifestyleLinkLiteratureLived experienceLived experiencesLong-term prospective studiesLongitudinal StudiesLongitudinal SurveysMeasuresMethodsMissionModel SystemModelingModern ManMolecularMonitorNational Institutes of HealthOnset of illnessOrgan SystemOutcomeParturitionPatternPedigreePersonal SatisfactionPhasePhenotypePhysical FunctionPhysical environmentPhysiologicPhysiologicalPopulationPositionPositioning AttributePrimatesPrimates MammalsProbabilistic ModelsProbability ModelsProcessProductivityProteomePublic HealthRainResearchSamplingSex DifferencesSexual differencesSocial BehaviorSocial EnvironmentSourceStatistical ModelsTechniquesTemperatureTestingUnited States National Institutes of HealthVariantVariationWild Animalsaccelerated agingaccelerated biological ageaccelerated biological agingaccess to health careaccessibility of health careaccessibility to health careadulthoodadvanced ageage accelerationage associatedage associated diseaseage associated disorderage associated impairmentage correlatedage dependentage dependent diseaseage dependent disorderage dependent impairmentage linkedage relatedage related human diseaseage specificage-related diseaseage-related disorderage-related impairmentagesaging biological markeraging biomarkeraging markeraging processanaloganalyzing longitudinalbehavior measurementbehavior observationbehavioral assessmentbehavioral measurebehavioral measurementbehavioral observationbio-markersbiologicbiologic markerbiological process of agebiomarkerboost longevitycapuchindevelopmentaldietary fruitdigestive tract microbiomedisease onsetdisorder onsetdisparity in healtheating habitelongating the lifespanenhance longevityenteric microbiomeenvironmental riskepigeneticallyexperienceextend life spanextend lifespanextend longevityfield based datafield learningfield studyfield testfoster longevitygastrointestinal microbiomegenetic pedigreegeriatricgeriatric screeninggut microbiomegut-associated microbiomehallmarks of aginghealth assessmenthealth care accesshealth care availabilityhealth care service accesshealth care service availabilityhealth disparityhealthspanhealthy life spanimmune functionimprove lifespanimprove longevityindividual heterogeneityindividual variabilityindividual variationinnovateinnovationinnovativeinsightintergenerationalintestinal biomeintestinal microbiomelife courselife historylife spanlifespanlifespan extensionlong-term studylongitudinal analysislongitudinal outcome studieslongitudinal research studylongitudinal, prospective studymalemembermodel of animalmolecular domainnatural agingnon-human primatenonhuman primatenormal agingnormative agingnovelold agepace of agingpace of biological agingpedigree structurephysical conditioningphysical healthpillars of agingpopulation basedprolong lifespanprolong longevitypromote lifespanpromote longevityrainfallrate of agingrate of biological agingsenior citizensex based differencessex-dependent differencessex-related differencessex-specific differencessocialsocial adversitysocial climatesocial contextsocial groupsocial relationshipssociobehaviorsociobehavioralsocioenvironmentsocioenvironmentalsocioenvironmental factorspeed of agingspeed of the agingstatistical linear mixed modelsstatistical linear modelssupport longevitysuprarenal glandtraittranslational studywell-beingwellbeingwhite-faced capuchinwhite-throated capuchin
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Full Description

PROJECT SUMMARY
One of the most enduring questions in public health is why some individuals retain good health into old age

while others experience declines in health, physical function, and wellbeing. Growing evidence indicates that

socio-environmental factors can contribute to individual differences in the progression of ‘biological aging’, yet

we lack a clear understanding of how they influence different body systems. Although these questions have

been difficult to address in humans, wild populations of primates offer unique opportunities for progress.

This project’s overarching objective is to generate new insights into how social and physical environments

influence heterogeneity in rates of aging and health disparities. We will accomplish this by developing a new

model system for the study of biological aging, using a combination of field-based behavioral observation and

laboratory analyses of noninvasive biological samples from wild white-faced capuchins. Our long-term

longitudinal study of this species allows us to leverage almost 40 years of granular data on life-histories,

pedigrees, and social behavior, as well as a rich assortment of associated data on the physical environment.

The traits that capuchins share with humans, including complex social relationships, omnivory, large brains,

and extended longevity, make them well-situated to provide insights into aging and health in our own species.

Our first Aim for the Development Phase is to identify, validate, and characterize biomarkers of aging and

health in physiological and molecular domains from non-invasive biological samples in a cross-section of adult

capuchins of known ages (6-27 years). We have been at the forefront of developing cutting-edge techniques

for noninvasive biological sampling, through which we will expand the set of wild animal models in which

biological aging can be studied. Second, we will develop new behavioral assessments of physical function that

are analogs of common geriatric assessments, and quantify aspects of social adversity parallel to those linked

to poor health, reduced survival, or accelerated biological aging in humans. In the Implementation Phase, our

Aim is to test the contributions of social and physical environments to trajectories of health and aging across

the life course, including sex differences in these relationships. To accomplish this, we will analyze longitudinal

variation in the biomarkers and health assessments that we establish during the Development Phase, in

combination with our long-term contextual data.

By the study’s conclusion, we will have established an innovative wild animal model of health and aging, with

newly developed biomarkers to track aging processes in an exceptional breadth of different body systems and

extended phenotypes. By integrating these new measures with our outstanding long-term data, we will shed

new light on potential mechanisms that explain individual differences in the progression of aging, and in doing

so, take an important step toward understanding how to extend the years of active, healthy life in humans.

Grant Number: 4R33AG078529-03
NIH Institute/Center: NIH

Principal Investigator: Fernando Campos

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