Dietary LPS traces influences disease expression of the diet-induced obese mouse.

Lipopolysaccharides (LPS) from Gram negative bacteria are generally present in laboratory animal chow diets in unknown amounts, which has been correlated to significant immunological differences between animals receiving diets with either low or high "naturally" occurring LPS content. LPS in the blood stream has been linked to glucose intolerance through Toll-like receptor mediated release of pro-inflammatory cytokines, metabolic endotoxemia, adipose tissue inflammation. LPS uptake increases when co-administered with fat, therefore uncontrolled LPS levels in a high-fat diet may increase variation in development of disease when high-fat diets are used to induce obesity and type 2 diabetes.

Transfer of gut microbiota from lean and obese mice to antibiotic-treated mice.

Transferring gut microbiota from one individual to another may enable researchers to "humanize" the gut of animal models and transfer phenotypes between species. To date, most studies of gut microbiota transfer are performed in germ-free mice. In the studies presented, it was tested whether an antibiotic treatment approach could be used instead.

Whey protein reduces early life weight gain in mice fed a high-fat diet.

An increasing number of studies indicate that dairy products, including whey protein, alleviate several disorders of the metabolic syndrome. Here, we investigated the effects of whey protein isolate (whey) in mice fed a high-fat diet hypothesising that the metabolic effects of whey would be associated with changes in the gut microbiota composition. Five-week-old male C57BL/6 mice were fed a high-fat diet ad libitum for 14 weeks with the protein source being either whey or casein.

Differential expression of pancreatitis-associated protein and thrombospondins in arterial versus venous tissues.

Background/aims: Arteries and veins modulate cardiovascular homeostasis and contribute to hypertension pathogenesis. Functional differences between arteries and veins are based upon differences in gene expression. To better characterize these expression patterns, and to identify candidate genes that could be manipulated selectively in the venous system, we performed whole genome expression profiling of arteries and veins.