Studying the association between diurnal rhythms of eating-fasting and rest-activity behaviors and oral microbiome.
Traditionally, studies of rest-activity and eating-fasting behaviors focused on conventional measures of individual components such as caloric intake, dietary quality, physical activity duration and volume, length of sedentary behavior, and sleep duration and quality. These measures ignore the timing aspect of the behaviors and are inadequate to capture the overall patterns of multiple behaviors that are often correlated with each other. There is a need for an integrated approach to comprehensively assess the rhythmic profiles and interrelationships of diurnal behaviors in human populations, and examine their relationships with health and disease outcomes. Our previous work in the Interactive Diet and Activity Tracking in AARP (IDATA) study have defined multiple circadian parameters to characterize the eating-fasting cycle. We have found that meal timing variables are significantly associated with overweight and obesity. Specifically, eating early in the morning was associated with lower odds of overweight and obesity, while late night eating was associated with higher odds. We also found that the duration and timing of overnight fasting are associated with obesity. We are currently expanding this line of research by 1) characterizing rest-activity rhythms using actigraphy data; and 2) developing statistical methods to examine the joined profiles of eating-fasting and rest-activity in relation to health indicators.
In this study, we propose to investigate characteristics of the eating-fasting and rest-activity cycles in relation to oral microbiome in the IDATA. Currently, an approved and active study is aimed at obtaining oral microbiome data using multiple samples from more than 900 IDATA participants. The study will allow us to examine both average patterns and daily temporal variation (morning vs. evening) in oral microbiota, and investigate their associations with diurnal behavior patterns.
Aim 1 Investigate characteristics of the eating-fasting and rest-activity cycles in relation to microbial diversity, including alpha diversity (observed species, Shannon index, and Faith’s PD), beta diversity (Bray-Curtis, unweighted UniFrac, and weighted UniFrac), and presence/absence of a specific taxon).
Aim 2 Investigate characteristics of the eating-fasting and rest-activity cycles in relation to difference in microbial diversity between morning and evening measures.
Christian Abnet (NCI, DCEG)
Yukiko Yano (NCI, DCEG)