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.
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. Findings from this project will aid development of strategies and treatment to reduce or help manage disease-symptom burdens for persons with Alzheimer's disease and their family caregivers.
