Precision Aging Network: Closing the Gap Between Cognitive Healthspan andHuman Lifespan
精准老龄化网络:缩小认知健康寿命与人类寿命之间的差距
基本信息
- 批准号:10689301
- 负责人:
- 金额:$ 1193.66万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-30 至 2026-08-31
- 项目状态:未结题
- 来源:
- 关键词:AccelerationAddressAgeAge-associated memory impairmentAgingAlzheimer disease preventionAlzheimer&aposs DiseaseAlzheimer&aposs disease related dementiaAlzheimer&aposs disease riskArizonaAssessment toolBaltimoreBehavioral SciencesBig DataBiologicalBiological MarkersBloodBrainBrain DiseasesCategoriesChronicChronologyClinical assessmentsCognitiveCognitive agingCommunitiesComplexCritical PathwaysDataDementiaDevelopmentDiseaseEducational process of instructingElderlyEnvironmental Risk FactorEthnic OriginFoundationsFunctional disorderFutureGeneticGeographyGoalsHealthHealth PersonnelHeterogeneityHumanImpaired cognitionIncidenceIndividualIndividual DifferencesInterventionKnowledgeLife StyleLongevityLongitudinal cohortMedicalMedicineMethodologyMethodsModelingNational Institute on AgingNeurologicOnline SystemsOutcomePerformancePersonal SatisfactionPersonsPopulationPredispositionPreventionPrevention strategyPrivatizationProcessPsychosocial FactorQuality of lifeRaceResearchResearch PersonnelResistanceRiskSamplingScienceSignal PathwaySocial SciencesSortingStrategic PlanningStrategic visionSymptomsSystemTechnologyTranslatingUnited StatesUniversitiesaging brainbrain healthcognitive enhancementcognitive functioncognitive performancecognitive testingcohortdata integrationdata sharingdesigndisabilityexperiencehealthspanhigh riskhuman old age (65+)improvedinformation gatheringmultidisciplinaryneuromechanismoutreachphysical conditioningprecision medicinepredictive modelingpreventprocess improvementprogramssexsocioeconomicssuccesstherapy developmenttoolweb-based assessment
项目摘要
SUMMARY/ABSTRACT: Overall Project
The strategic vision of the Precision Aging Network (PAN) is to develop the essential scientific knowledge to
understand the discrepancy that currently exists between cognitive healthspan and human lifespan. We must
reveal the neural mechanisms that 1) account for optimal brain performance in old age resulting in healthy
cognitive function, and 2) those that underlie decline in brain function leading to age-related cognitive
impairment (ARCI), Alzheimer’s disease (AD), or Alzheimer’s disease-related dementias (ADRD). The ultimate
goal of the PAN is to develop not only a strong scientific foundation for the essential knowledge needed to
match cognitive healthspan with human lifespan, but also to leverage big data approaches that apply precision
medicine concepts to prolong optimal brain function. To achieve this goal of sustaining optimal cognitive
function in old age, and to extend quality of life for people across levels of risk for ARCI, AD, or ADRD,
we maintain that methodologies such as those developed and implemented in the PAN will be required.
Although ‘chronological age’ is consistently associated with increasing incidence of disability, including chronic
brain disorders such as AD and ADRD, the exact mechanistic relationships between ‘biological age’ and
decline in brain function is not known. The number of people now living with some form of dementia is
estimated to be 50 million worldwide, which is expected to double every 20 years. Because of the enormous
heterogeneity in brain and cognitive function among individuals in their 70s, 80s and 90s, the urgent challenge
for science, medicine and healthcare providers is to discover interventions that are individually effective in
delaying or preventing ARCI, AD, or ADRD.
Untangling the complex relationship between age and cognitive performance requires a strategy that includes
the study of very large, diverse, well-characterized and longitudinally sampled populations. This will require
‘big data’ but also the means to translate the massive amounts of information gathered into ‘smart data’ or
‘knowledge’. This demands radically different conceptual models. Currently, no single approach adequately
identifies the means to modify personal aging trajectories for improved brain health in individuals. The
approach proposed in PAN is designed to overcome obstacles of earlier methods. The focus is on how to
distinguish the various combinations of age, sex, genetics, race-ethnicity, health, lifestyle choices and
environmental factors that influence brain drivers that increase susceptibility to dysfunction, as well as
those factors that increase brain protection and resistance against dysfunction.
The fundamental principle of the precision medicine approach is to ’individualize’. This will enable strong
and specific predictions for each person to close the gap between cognitive healthspan and human
lifespan. The root of this concept is in the teachings of Hippocrates, who said – “It is more important to know
what sort of person has a disease than to know what sort of disease a person has.”
摘要/摘要:整体项目
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Neuroimaging and verbal memory assessment in healthy aging adults using a portable low-field MRI scanner and a web-based platform: results from a proof-of-concept population-based cross-section study.
- DOI:10.1007/s00429-022-02595-7
- 发表时间:2023-03
- 期刊:
- 影响因子:3.1
- 作者:Deoni SCL;Burton P;Beauchemin J;Cano-Lorente R;De Both MD;Johnson M;Ryan L;Huentelman MJ
- 通讯作者:Huentelman MJ
Harnessing Speech-Derived Digital Biomarkers to Detect and Quantify Cognitive Decline Severity in Older Adults.
利用语音衍生的数字生物标记来检测和量化老年人的认知衰退严重程度。
- DOI:10.1159/000536250
- 发表时间:2024
- 期刊:
- 影响因子:3.5
- 作者:Cay,Gozde;Pfeifer,ValeriaA;Lee,Myeounggon;Rouzi,MohammadDehghan;Nunes,AdonayS;El-Refaei,Nesreen;Momin,AnmolSalim;Atique,MdMoinUddin;Mehl,MatthiasR;Vaziri,Ashkan;Najafi,Bijan
- 通讯作者:Najafi,Bijan
NISC: Neural Network-Imputation for Single-Cell RNA Sequencing and Cell Type Clustering.
- DOI:10.3389/fgene.2022.847112
- 发表时间:2022
- 期刊:
- 影响因子:3.7
- 作者:
- 通讯作者:
Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach.
- DOI:10.2196/28333
- 发表时间:2022-03-08
- 期刊:
- 影响因子:4.9
- 作者:Ferrario A;Luo M;Polsinelli AJ;Moseley SA;Mehl MR;Yordanova K;Martin M;Demiray B
- 通讯作者:Demiray B
An independent regulator of global release pathways in astrocytes generates a subtype of extracellular vesicles required for postsynaptic function.
- DOI:10.1126/sciadv.adg2067
- 发表时间:2023-06-23
- 期刊:
- 影响因子:13.6
- 作者:Levy-Myers, Reuben;Daudelin, Daniel;Na, Chan Hyun;Sockanathan, Shanthini
- 通讯作者:Sockanathan, Shanthini
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CAROL A. BARNES其他文献
CAROL A. BARNES的其他文献
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{{ truncateString('CAROL A. BARNES', 18)}}的其他基金
Frontal and Temporal Lobe Interactions in Rat Models of Normative Aging and Alzheimer's Disease
正常衰老和阿尔茨海默病大鼠模型中额叶和颞叶的相互作用
- 批准号:
10639909 - 财政年份:2023
- 资助金额:
$ 1193.66万 - 项目类别:
NPTX2: Preserving memory circuits in normative aging and Alzheimer's Disease
NPTX2:在正常衰老和阿尔茨海默病中保护记忆回路
- 批准号:
10214339 - 财政年份:2021
- 资助金额:
$ 1193.66万 - 项目类别:
Precision Aging Network: Closing the Gap Between Cognitive Healthspan andHuman Lifespan
精准老龄化网络:缩小认知健康寿命与人类寿命之间的差距
- 批准号:
10270187 - 财政年份:2021
- 资助金额:
$ 1193.66万 - 项目类别:
NPTX2: Preserving memory circuits in normative aging and Alzheimer's Disease
NPTX2:在正常衰老和阿尔茨海默病中保护记忆回路
- 批准号:
10396587 - 财政年份:2021
- 资助金额:
$ 1193.66万 - 项目类别:
Precision Aging Network: Closing the Gap Between Cognitive Healthspan andHuman Lifespan
精准老龄化网络:缩小认知健康寿命与人类寿命之间的差距
- 批准号:
10491806 - 财政年份:2021
- 资助金额:
$ 1193.66万 - 项目类别:
NPTX2: Preserving memory circuits in normative aging and Alzheimer's Disease
NPTX2:在正常衰老和阿尔茨海默病中保护记忆回路
- 批准号:
10621736 - 财政年份:2021
- 资助金额:
$ 1193.66万 - 项目类别:
Postdoctoral Training, Neurobiology of Aging and Alzheimer's Disease
博士后培训,衰老和阿尔茨海默病的神经生物学
- 批准号:
10419557 - 财政年份:2016
- 资助金额:
$ 1193.66万 - 项目类别:
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