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Roundworm quells obesity and related metabolic disorders

Roundworm quells obesity and related metabolic disorders

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Caenorhabditis elegans, a model species of roundworm

Roundworms can not only combat obesity but ameliorate related metabolic disorders

Researchers at the University of Maryland School of Medicine, Baltimore, have shown in a mouse model that infection with nematodes (also known as roundworms) can not only combat obesity but ameliorate related metabolic disorders. Their research is published ahead of print online in the journal Infection and Immunity.

Gastrointestinal nematodes infect approximately 2 billion people worldwide, and some researchers believe up until the 20th century almost everyone had worms. In developed countries there is a decreasing incidence of nematode infection but a rising prevalence of certain types of autoimmunity, suggesting a relationship between the two. Nematode infection has been purported to have therapeutic effects and currently clinical trials are underway to examine worms as a treatment for diseases associated with the relevant cytokines, including inflammatory bowel disease, multiple sclerosis, and allergies.

In the study researchers tested the effect of nematode infection on mice fed a high-fat diet. Infected mice of normal girth gained 15 percent less weight than those that were not infected. Mice that were already obese when infected lost roughly 13 percent of their body weight within 10 days. Infection also drastically lowered fasting blood glucose, a risk factor for diabetes, and reduced fatty liver disease, decreasing liver fat by ~25 percent, and the weight of the liver by 30 percent.

The levels of insulin and leptin also dropped, “indicating that the mice restored their sensitivities to both hormones,” says corresponding author Aiping Zhao of the University of Maryland School of Medicine, Baltimore. Leptin moderates appetite. As with too much insulin, too high a level of leptin results in insensitivity, thus contributing to obesity and metabolic syndrome, Zhao explains.

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