Detecting synergistic effects of pharmacological and non-pharmacological interventions for AD/ADRD

检测 AD/ADRD 药物和非药物干预措施的协同效应

• 批准号: 10501245
• 负责人: HUA XU
• 金额: $ 78.15万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10501245
• 关键词: Aerobic; Aerobic Exercise; Affect; Alzheimer' s Disease; Alzheimer' s disease related dementia; American; Animal Model; Animals; Aromatherapy; Brain Diseases; Clinical Trials; Clinical Trials Design; Cognitive; Cognitive aging; Collaborations; Communities; Data; Data Sources; Dementia; Diet; Disease; Elderly; Electronic Health Record; Environmental Risk Factor; Gene Targeting; Genetic Risk; Goals; Individual; Informatics; Intervention; Knowledge; Light; Link; Literature; Methods; Mining; Modeling; Natural Language Processing; Network-based; Ontology; Pharmaceutical Preparations; Pharmacology; Phototherapy; Prevention; Reporting; Research; Signal Transduction; Site; Sleep; Standardization; Translating; Validation; Visualization; Work; alternative treatment; clinical investigation; cognitive training; computerized tools; data resource; dietary; dietary supplements; drug discovery; drug repurposing; effective therapy; improved; in silico; in vivo; innovation; intervention effect; knowledge base; knowledge graph; mouse model; multimodal data; multimodality; neural network; novel; ontology development; population based; predictive modeling; prevent; synergism; tool

PROJECT SUMMARY Alzheimer's disease (AD) and related dementia (AD/ADRD) is a multifactorial and heterogeneous disorder. Most current studies focus on drug interventions for AD/ADRD and currently none of pharmacological intervention (PI) discovery research has been translated into effective treatments. However, increasing evidence demonstrates that non-pharmacological interventions (NPI), such as sleep, diet, dietary supplements, aerobic exercise, aromatherapy, light therapy, cognitive training, are potentially modifiable and thus offer alternative opportunities for AD/ADRD prevention. Thus, the objective of this project is to develop translational informatics approaches to aggregate, standardize and discover the effects of drug and NPI candidates on AD/ADRD using multi-modal data resources (i.e., biomedical literature, EHR, clinical trials) followed by animal model validation. To achieve our goal, we propose the following aims: 1) constructing a comprehensive Pharmacological And Non- Pharmacological Interventions for Alzheimer's Disease Knowledge Graph (PANIA-KG) from biomedical literature and other knowledge bases; 2) detecting, understanding, and visualization of drug repurposing signals of PIs, NPIs, and their synergistical effects for AD/ADRD using the PANIA-KG; 3) re-ranking and validating individual and synergistical drug repurposing signals using multimodal data sources and animal models. The successful completion of this project will deliver a comprehensive NPI knowledge graph, novel informatics approaches, ranked list of drug and NPI candidates, and validated synergistic intervention using multi-modal data sources. The generated approaches, PANIA-KG and ranked lists can further our clinical investigations and clinical trial design which focuses on synergistic effects of drug and NPIs for AD/ADRD.

项目总结