title: Influence of whole-wheat consumption on fecal microbial community structure of obese diabetic mice.
abstract: The digestive tract of mammals and other animals is colonized by trillions of metabolically-active microorganisms. Changes in the gut microbiota have been associated with obesity in both humans and laboratory animals. Dietary modifications can often modulate the obese gut microbial ecosystem towards a more healthy state. This phenomenon should preferably be studied using dietary ingredients that are relevant to human nutrition. This study was designed to evaluate the influence of whole-wheat, a food ingredient with several beneficial properties, on gut microorganisms of obese diabetic mice. Diabetic (db/db) mice were fed standard (obese-control) or whole-wheat isocaloric diets (WW group) for eight weeks; non-obese mice were used as control (lean-control). High-throughput sequencing using the MiSeq platform coupled with freely-available computational tools and quantitative real-time PCR were used to analyze fecal bacterial 16S rRNA gene sequences. Short-chain fatty acids were measured in caecal contents using quantitative high-performance liquid chromatography photo-diode array analysis. Results showed no statistical difference in final body weights between the obese-control and the WW group. The bacterial richness (number of Operational Taxonomic Units) did not differ among the treatment groups. The abundance of Ruminococcaceae, a family containing several butyrate-producing bacteria, was found to be higher in obese (median: 6.9%) and WW-supplemented mice (5.6%) compared to lean (2.7%, p = 0.02, Kruskal-Wallis test). Caecal concentrations of butyrate were higher in obese (average: 2.91 mmol/mg of feces) but especially in WW-supplemented mice (4.27 mmol/mg) compared to lean controls (0.97 mmol/mg), while caecal succinic acid was lower in the WW group compared to obese but especially to the lean group. WW consumption was associated with ∼3 times higher abundances of Lactobacillus spp. compared to both obese and lean control mice. Analysis of weighted UniFrac distances revealed a distinctive clustering of lean microbial communities separately from both obese and WW-supplemented mice (p = 0.001, ANOSIM test). Predictive metagenome analysis revealed significant differences in several metabolic features of the microbiota among the treatment groups, including carbohydrate, amino acids and vitamin metabolism (p < 0.01, Kruskal-Wallis test). However, obese and WW groups tended to share more similar abundances of gene families compared to lean mice. Using an in vivo model of obesity and diabetes, this study suggests that daily WW supplementation for eight weeks may not be enough to influence body weight or to output a lean-like microbiome, both taxonomically and metabolically. However, WW-supplementation was associated with several statistically significant differences in the gut microbiome compared to obese controls that deserve further investigation.
authors.affiliation: Faculty of Veterinary Medicine, Universidad Autónoma de Nuevo León, General Escobedo, Nuevo Leon, Mexico; Research Group Medical Eco-Biology, Universidad Autónoma de Nuevo León, General Escobedo, Nuevo Leon, Mexico.
authors.forename: Jose F
authors.identifier: 0000-0001-6047-4361
authors.initials: JF
authors.lastname: Garcia-Mazcorro
authors.affiliation: Veterinary Physiology and Pharmacology, Texas A&M University , College Station, Texas , United States.
authors.forename: Ivan
authors.initials: I
authors.lastname: Ivanov
authors.affiliation: Department of Food Science and Technology, University of California, Davis , Davis, California , United States.
authors.forename: David A
authors.initials: DA
authors.lastname: Mills
authors.affiliation: School of Food Science, Washington State University, Pullman, Washington, United States; Current Address: Nutrition and Food Science, Texas A&M University, College Station, Texas, United States.
authors.forename: Giuliana
authors.initials: G
authors.lastname: Noratto
keywords: Fecal microbiota; High-Throughput sequencing; Metabolic pathways; Obesity; Whole-wheat