The microorganisms that colonize the gastrointestinal tract have been recognized over the last several decades to have a significant bearing on the health trajectories of the hosts that harbor them. The collection of these gut microbes display links with acute and chronic disease, garnering substantial interest in leveraging the microbiome for improved health states. How these microbes assemble as a complex community and interact with each other, and the host depends on a multitude of factors. In adulthood, diet is one of the main moderators, having a significant influence on community composition and the functional output captured in the metabolites produced and/or modified by the gut microbiome. Thus, the assembly of microbes in the gut are tightly intertwined with health. In this dissertation, I examine the impact of diet and feeding behaviors on the gut microbiome and what features may be grounding or responsive under such pressures. Specifically, I first explore the avian gut microbiome as a barometer of nutritional and environmental influence on host health. Birds have continually displayed robust physiology under dietary pressures, placing them in an important, though underutilized, position within the translational science framework. Second, I describe the association of food insecurity on gut microbiome and metabolome profiles in a diverse college-based sample. Food insecurity provides its own set of unique pressures, such as unintentional calorie restriction, and inconsistent dietary intake and access to healthy food options. Third, I examine the effect of a one vs. two-consecutive days of intermittent fasting on the gut microbiome, the plasma metabolome, and associated clinical outcomes in overweight and obese adults. Growing in scientific and lay popularity, dietary fasting has been noted to induce changes in the diversity of gut microflora and gut motility, though different fasting lengths have not been assessed in the context of the human microbiome. Overall, this collection of work underscores that the community of microbes in the gut are individualized, resilient, and baseline composition and functioning are germane to how an individual may react to a particular dietary intervention.

Resistant starch is defined as a portion of starch that bypasses breakdown and absorption in the small intestine. Several studies have shown a relationship between resistant starch consumption and decreased postprandial blood glucose. RS3 in particular, is formed when a starch containing food changes its chemical structure after it is cooked and then cooled. This characteristic enables a food to lower its glycemic index after it has been cooled enough to promote retrogradation and can potentially be used as a dietary intervention to control blood glucose in diabetics and individuals with insulin resistance. Although many studies have been done on rice and potatoes, pasta has not been tested as extensively. This investigation examines the effect of RS3 in pasta on postprandial glycemic response in 13 healthy participants. After consuming 2 bagels the night prior and coming in to the lab in a fasted state, the test subjects were given a warm or cold pasta dish to consume. Blood glucose samples were taken at fasting, 30 minutes, 60 minutes, 90 minutes, and 120 minutes for both the hot and cold dish. Analysis of the results indicated that there was an average of a 4.1 mg/dl decrease in blood glucose at 30 min and a 2.4 mg/dl decrease at 60 min for the cold pasta. This was followed by a 3.9 mg/dl increase at 90 min and 3.3 mg/dl increase at 120 min. Although these results show a small difference in postprandial glucose response, statistical analysis did not deem it significant difference.

It is widely recognized that dietary protein induces greater satiety compared to carbohydrate and fat. Two separate trials were conducted to assess the use of protein as a dietary approach to manage energy intake (EI). The first, crossover trial, examined 24– hour EI after consuming a high protein bar (HP) vs. a high carbohydrate (HC) bar upon awakening on two separate days and a control, no bar day. Of the 54 participants who entered the trial, 37 subjects completed the study in its entirety. Results showed there was no significant difference in mean EI between the intervention days when the bars were consumed and the control day. The subjects consumed 1752±99 kcal on the control day, and 1846±75 and 1891±110 kcal on the days the HP and HC bars were consumed, respectively (P=0.591). However, compared to the control day, snack bar ingestion was significantly related to an increase in EI for the subjects who self-reported high weekly physical activity levels (n=11) (+22%; P=0.038 and +45%; P=0.030, HP and HC bars, respectively). These data suggest that individuals who have moderate to low physical activity levels compensate for the ingestion of energy bars (regardless of protein content) over a 24–hour period. The second parallel-arm, pilot trial examined the effect of 6 g daily gelatin ingestion vs. control on EI and weight change in healthy, overweight and obese women who initiated a walking program. Of the 37 women who entered the trial, 28 completed the six week trial. The results showed activity level (steps/d) increased in both groups (+ 22%, P=0.022). There was a significant group difference in mean EI at week 6 vs. baseline (–174±612 kcal/d and +197±320 kcal/d, P=0.001; gelatin and control groups, respectively). However, there was no significant between group difference for changes in weight, percent body fat and waist circumference. Those subjects having baseline Disinhibition scores of ≥12 gained significantly more weight throughout the study vs. those scoring <12 (P=0.004). These results indicate that daily gelatin ingestion may be a practical strategy for controlling EI among overweight and obese women initiating an exercise program.