Research Network on Animal Models to Understand Social Dimensions of Aging
了解衰老社会维度的动物模型研究网络
基本信息
- 批准号:10116254
- 负责人:
- 金额:$ 33.23万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-03-01 至 2025-02-28
- 项目状态:未结题
- 来源:
- 关键词:AddressAdvanced DevelopmentAgeAgingAlcoholismAmericanAnimal ExperimentationAnimal ModelAnimalsApplications GrantsAreaAwarenessBehavior TherapyBehavioralBiologicalBiological AssayBiological MarkersCardiovascular DiseasesCatalysisClinical ResearchCollaborationsCollectionCommunitiesComplexControlled EnvironmentDataData SetDementiaDimensionsDisciplineDiseaseEducational workshopEnvironmentEtiologyExhibitsFellowshipGenerationsGoalsGrantHealthHumanInterdisciplinary CommunicationKnowledgeLeadershipLinkLongevityMalignant NeoplasmsMammalsMarmotaMentorsMentorshipMethodologyMethodsModelingMonoclonal Antibody R24Morbidity - disease rateNatureObesityOutcome MeasurePaperPathway interactionsPatternPersonal SatisfactionPhysiologicalPilot ProjectsPopulationPopulation ResearchPopulation StudyPredispositionProtocols documentationPublicationsResearchResearch DesignResearch PersonnelRodentScientistSilkSocial BehaviorSocial EnvironmentSocial ImpactsSocial InteractionSocial isolationSocial supportSocioeconomic StatusStandardizationStressTechnologyTestingTherapeutic InterventionTimeTrainingTraining SupportTranslationsTravelUnited StatesWorkYangaging populationanimal dataanimal model developmentbehavioral studycareercomparativecostdata sharingdesignexperienceexperimental studyflexibilitygenomic datahuman datahuman modelhuman population studyimprovedinnovationinterestlow socioeconomic statusmeetingsmortalitynonhuman primateprogramsrecruitsedentarysocialsocial determinantssocial factorssocial health determinantssocial relationshipssocial stresssymposiumtherapeutic evaluationtoolworking group
项目摘要
Project Summary
As the population of the United States ages, the health burden imposed by diseases of aging is expected
to increase concomitantly. Social factors, including low socioeconomic status, social isolation, and low social
support, are among the best predictors of susceptibility to diseases of aging, as well as lifespan itself.
Nevertheless, key questions about the causal relationship and the biological mechanisms that link social
experiences to health and aging remain unanswered. Animal models are a powerful tool to address these
questions. Like humans, other social mammals exhibit strong associations between social adversity, health,
and mortality. Unlike humans, though, they experience less complex environments, have shorter generation
times, and can be subjected to experimental manipulation in controlled environments.
The goal of this proposal is to build a Research Network on Animal Models to Understand Social
Dimensions of Aging. By supporting interdisciplinary communication and pilot research from both human and
nonhuman animal researchers, we aim to maximize the impact of animal model research on understanding the
social determinants of health and aging. A Research Network is essential because current research in this
area is distributed across many different disciplines, there is no standard set of conferences or publication
venues where researchers with related interests overlap, and there are high barriers to entry for animal model
work. The proposed network will overcome these challenges by supporting scientific meetings and workshops
that build contacts across disciplines and among researchers at all career levels. It will also recruit new,
diverse investigators into the field by providing opportunities for pilot project support, travel fellowships, and
mentorship by experienced senior investigators. As part of these activities, the network will provide hands-on
training for animal model research in rodents and nonhuman primates and for comparative research that
leverages human and animal data sets. To build visibility, it will support targeted symposia at meetings where
animal model work on the social dimensions of aging has not traditionally been represented. Finally, it will
identify priority areas for animal model research and promote data and protocol dissemination. These activities
will help set a research agenda that extends beyond the network’s immediate activities.
Thus, the proposed network will transform a weakly connected community into a self-sustaining field of
researchers equipped to conduct impactful research on the social dimensions of aging. Areas of particular
interest include models to test the causal effects of social interactions on health; methods that can be flexibly
deployed in both nonhuman animals and human populations; and research that investigates the benefits of
behavioral interventions for alleviating the costs of social adversity. Advances in these areas will have direct
translational application to human health and well-being during aging.
项目总结
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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Alessandro Bartolomucci其他文献
Alessandro Bartolomucci的其他文献
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{{ truncateString('Alessandro Bartolomucci', 18)}}的其他基金
Mouse models for the influence of the social environment on health and aging
社会环境对健康和衰老影响的小鼠模型
- 批准号:
10512895 - 财政年份:2022
- 资助金额:
$ 33.23万 - 项目类别:
Mouse models for the influence of the social environment on health and aging
社会环境对健康和衰老影响的小鼠模型
- 批准号:
10686938 - 财政年份:2022
- 资助金额:
$ 33.23万 - 项目类别:
Research Network on Animal Models to Understand Social Dimensions of Aging
了解衰老社会维度的动物模型研究网络
- 批准号:
10365946 - 财政年份:2020
- 资助金额:
$ 33.23万 - 项目类别:
Research Network on Animal Models to Understand Social Dimensions of Aging
了解衰老社会维度的动物模型研究网络
- 批准号:
10589055 - 财政年份:2020
- 资助金额:
$ 33.23万 - 项目类别:
Molecular control of BAT functions by adrenergic/purinergic signaling
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- 批准号:
9982484 - 财政年份:2019
- 资助金额:
$ 33.23万 - 项目类别:
Molecular dissection of TLQP-21 peptide functions in obesity
TLQP-21 肽在肥胖中的功能的分子解析
- 批准号:
8906851 - 财政年份:2014
- 资助金额:
$ 33.23万 - 项目类别:
Molecular dissection of TLQP-21 peptide functions in obesity
TLQP-21 肽在肥胖中的功能的分子解析
- 批准号:
9115605 - 财政年份:2014
- 资助金额:
$ 33.23万 - 项目类别:
Molecular dissection of TLQP-21 peptide functions in obesity
TLQP-21 肽在肥胖中的功能的分子解析
- 批准号:
8747209 - 财政年份:2014
- 资助金额:
$ 33.23万 - 项目类别:
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