Poster Topical Area: Obesity

Location: Hall D

Poster Board Number: 658

P23-031 - Gut microbiota composition before and after diet-induced obesity in genetically heterogeneous Diversity Outbred mice

Sunday, Jun 10
8:00 AM – 6:00 PM

The association between obesity and major chronic diseases, including cancer and cardiovascular disease, has been well-documented. Several studies in mice show that gut microbiota may influence obesity, though findings have been inconsistent in human populations. Diversity Outbred mice (DO) are maintained by randomized breeding; each animal has a high degree of heterozygosity and each carries a unique combination of alleles. This model provides significant genetic and phenotypic heterogeneity, which may increase the translation of findings to human populations. The objective of this study is to define baseline gut microbiota diversity and composition in 200 male and female DO mice and quantify prospective associations with weight gain from 12 weeks on a diet-induced obesity (DIO; 60% fat) regimen. Due to the intrinsic genetic divergence in this outbred population (45 million segregating SNPs and structural variants­­), we anticipate that the gut microbiota composition will be highly variable in genetically-different DO mice. Furthermore, our data shows significant inter-individual differences in body fat (g) changes over the 12-week DIO study period. The mean gain in fat in males was 13.1 gms ± 5.9 SD, ranging from 1.2-30.1 gms; whereas the mean gain in fat in females was 14.9 gms ± 5.1, ranging from 3.34-27.2 gms. We are currently sequencing the V4 hypervariable region of the 16S rRNA prokaryotic gene and will quantify the interindividual differences in bacterial compositional and diversity measures before and after the 12-week DIO regimen. We will also assess the associations between these microbiota characteristics and body composition measures using linear regression models. We hypothesize that differences in diet-induced obesity are associated with variability in gut microbial diversity and taxonomic composition.  

CoAuthors: Melissa VerHague, Dr – University of North Carolina; Jody Albright – University of North Carolina; Steven Talbert – University of North Carolina; Jonathan Shea – Univserity of North Carolina; John French, Dr – University of North Carolina; Stephen Hursting, Dr – University of North Carolina; Katie Meyer, Dr – University of North Carolina

Salvador Fabela

Postdoctoral research associate
University of North Carolina
Kannapolis, North Carolina