Biological and environmental factors driving behavioral symptoms in Alzheimer's disease
驱动阿尔茨海默病行为症状的生物和环境因素
基本信息
- 批准号:10455646
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-09-23 至 2023-08-07
- 项目状态:已结题
- 来源:
- 关键词:Alzheimer&aposs DiseaseAlzheimer&aposs disease patientAttentionAutomobile DrivingBehavior TherapyBehavioralBehavioral SymptomsBiological FactorsBlood VesselsBlood specimenCaregiver BurdenCaregiversCaucasiansClinicDataDementiaDevelopmentDiseaseDisease ManagementElder AbuseEnrollmentEnvironmental ExposureEnvironmental Risk FactorEthnic OriginEtiologyExcisionFamily CaregiverFrequenciesGeneticHerpesvirus 1HeterogeneityHispanicIndividualInfectionInflammationInterventionInvestigationLongitudinal StudiesMeasuresModelingMusNeurofibrillary TanglesNursing HomesOutcomePathway interactionsPatient MonitoringPatientsPatternPersonsPharmaceutical PreparationsPilot ProjectsProbabilityReportingResearchRoleSamplingSeveritiesSeverity of illnessSymptomsSystemTestingTherapeuticTimeTrainingTranslational ResearchTreatment outcomeVariantVisitWritingbehavior predictioncaregiver depressioncaregivingclinical biomarkersclinical developmentdiarieseffective interventioneffective therapyexperiencefallsindividual variationinnovationlongitudinal designmicrobiomemicrobiotamultilevel analysisnovelpersonalized approachpharmacologicpreventrate of changerecruitresponsestool samplestressorsymptom managementsystemic inflammatory response
项目摘要
Project Summary
This project will investigate how different environmental, personal and disease related factors contribute to the
experience of behavioral symptoms of patients with Alzheimer's disease (AD). Patients with AD will experience
behavioral symptoms of dementia (BSD) at some point during their illness, though most patients will not
experience all types of BSD or experience them in a predictable pattern. This has made development of effective
treatments and symptom management approaches for AD highly challenging. Our pilot data shows a high degree
of intraindividual heterogeneity in daily reports of BSD both in type of symptom and frequency of occurrence.
Others report significant intraindividual heterogeneity in the rate of change in BSD over a 3-month period. It is
currently unclear what mechanisms contribute to these within- and between-person variations in BSD. While
BSD subsyndromes have been proposed it is unclear how the types of BSD within the subsyndromes are
temporally dependent or distinct from each other. As applied to AD, the Revised Symptom Management Model,
points to environmental (i.e., unmet needs, stressors), personal (i.e., genetic, microbiome, ethnicity), and disease
(i.e., HSV1 infection, systemic inflammation) factors as mechanistic pathways for BSD. We hypothesize that
these factors across multiple systems contribute to the mechanistic development of BSD, and thus the variability
in individual BSD expression. Elucidation of these factors across multiple systems will help create personalized
approaches to treatment of BSD spanning from caregiving behavioral training to pharmacological interventions.
Dyads of co-residing caregivers and persons with AD or mixed-type AD (with vascular involvement) (N=162
dyads) will be recruited. Equal numbers of Caucasian and Hispanic dyads will be enrolled so that the contributing
role of ethnicity can be examined. Using a micro-longitudinal design, caregivers will complete daily diaries for 30
days reporting on their observations of environmental exposures, including type, frequency, duration, and
severity of BSD. At enrollment and at the start of each new week of diaries, dyads will visit the research clinic
where blood and stool samples will be collected from the person with AD (for 5 samples total). BSD will be
reported in the daily diary entries, with BSD type measured as presence or absence of 22 symptoms across 17
domains. We will use a multi-level model analytic framework to examine hypotheses outlines in the research
strategy in order to complete the following aims: (1) Determine how environmental (i.e., unmet needs, stressors),
personal (i.e., genetic, microbiome, ethnicity) and disease (i.e. HSV1 infection, systemic inflammation) factors
impact probability of daily BSD, either directly or through interaction effects, and (2) Identify subsyndromes of
BSD, and predictors of group membership. Impact: By competitively testing leading hypotheses for BSD, this
project will elucidate criteria for distinguishing patients with BSD that are not resolvable via appropriate attention
to their unmet needs. Findings from this project will inform targeted interventions to support persons with
Alzheimer's disease and their family caregivers.
项目摘要
这个项目将调查不同的环境、个人和疾病相关因素是如何影响
阿尔茨海默病患者的行为症状体会阿尔茨海默病患者将经历
痴呆症的行为症状(BSD),尽管大多数患者不会
体验所有类型的BSD或以可预测的模式体验它们。这使得开发变得有效
阿尔茨海默病的治疗和症状管理方法极具挑战性。我们的试点数据显示
在BSD的日常报告中,个体内部的异质性在症状类型和发生频率上都是如此。
其他人则报告了3个月内BSD变化率的显著个体内异质性。它是
目前尚不清楚是什么机制导致了人内和人与人之间的BSD差异。而当
BSD亚型已经被提出,目前还不清楚BSD在亚型中的类型是什么
时间上相互依赖的或彼此不同的。正如应用于AD,修订后的症状管理模型,
指向环境(即未满足的需求、压力源)、个人(即遗传、微生物群、种族)和疾病
(例如,HSV1感染、全身炎症)因素是BSD的机制途径。我们假设
跨多个系统的这些因素促成了BSD的机械性发展,从而导致了可变性
在单独的BSD表达中。跨多个系统阐明这些因素将有助于创建个性化的
治疗BSD的方法从照顾行为训练到药物干预。
共同居住的照顾者和AD或混合型AD(有血管受累)患者的二元体(N=162)
二人)将被招募。将招收同等数量的高加索人和西班牙人二人组,以便捐款的
种族的作用是可以考察的。使用微纵向设计,照顾者将完成30天的每日日记
报告其观察到的环境暴露的天数,包括类型、频率、持续时间和
BSD的严重程度。在注册和每个新的一周的日记开始时,双胞胎将访问研究诊所
其中血液和粪便样本将从AD患者身上采集(共5个样本)。BSD将是
在日常日记中报告,BSD类型测量为17个中的22个症状的存在或不存在
域名。我们将使用多层次模型分析框架来检验研究中的假设大纲
战略,以实现以下目标:(1)确定环境(即未满足的需求、压力源)、
个人因素(如遗传、微生物、种族)和疾病因素(如单纯疱疹病毒1型感染、全身炎症)
每日BSD的影响概率,直接或通过相互作用的影响,以及(2)确定亚综合征
BSD和群组成员的预测因子。影响:通过竞争性地测试BSD的主要假设,这
项目将阐明区分BSD患者的标准,这些患者无法通过适当的关注来解决
满足他们未得到满足的需求。该项目的结果将为有针对性的干预措施提供信息,以支持患有
阿尔茨海默氏症和他们的家庭照顾者。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Andrew Michael Pickering其他文献
Andrew Michael Pickering的其他文献
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{{ truncateString('Andrew Michael Pickering', 18)}}的其他基金
Biological and environmental factors driving behavioral symptoms in Alzheimer's disease
驱动阿尔茨海默病行为症状的生物和环境因素
- 批准号:
10221511 - 财政年份:2019
- 资助金额:
-- - 项目类别:
Biological and environmental factors driving behavioral symptoms in Alzheimer's disease
驱动阿尔茨海默病行为症状的生物和环境因素
- 批准号:
10021710 - 财政年份:2019
- 资助金额:
-- - 项目类别:
Biological and environmental factors driving behavioral symptoms in Alzheimer's disease
驱动阿尔茨海默病行为症状的生物和环境因素
- 批准号:
10121103 - 财政年份:2019
- 资助金额:
-- - 项目类别:
Dissecting the Interplay between proteasome dysfunction, proteostasis and Alzheimer's disease
剖析蛋白酶体功能障碍、蛋白质稳态和阿尔茨海默病之间的相互作用
- 批准号:
9789155 - 财政年份:2018
- 资助金额:
-- - 项目类别:
Dissecting the Interplay between proteasome dysfunction, proteostasis and Alzheimer's disease
剖析蛋白酶体功能障碍、蛋白质稳态和阿尔茨海默病之间的相互作用
- 批准号:
10167581 - 财政年份:2018
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-- - 项目类别:
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