Contribution made by parabiosis to the understanding of energy balance regulation

• Parabiosis produces a chronic cross circulation between two animals.
• Only factors with a long half-life in the circulation exchange between parabionts.
• Different obesity models demonstrated the presence of a circulating “satiety” factor.
• Positional cloning studies identified this factor as leptin.
• Leptin has been shown to exchange effectively in parabiosed mice.

Parabiosis is a chronic preparation that allows exchange of whole blood between two animals. It has been used extensively to test for involvement of circulating factors in feedback regulation of physiological systems. The total blood volume of each animal exchanges approximately ten times each day, therefore, factors that are rapidly cleared from the circulation do not reach equilibrium across the parabiotic union whereas those with a long half-life achieve a uniform concentration and bioactivity in both members of a pair. Involvement of a circulating factor in the regulation of energy balance was first demonstrated when one member of a pair of parabiosed rats became hyperphagic and obese following bilateral lesioning of the ventromedial hypothalamus. The non-lesioned partner stopped eating, lost a large amount of weight and appeared to be responding to a circulating “satiety” factor released by the obese rat. These results were confirmed using different techniques to induce obesity in one member of a pair. Studies with phenotypically similar ob/ob obese and db/db diabetic mice indicated that the obese mouse lacked a circulating signal that regulated energy balance, whereas the diabetic mouse appeared insensitive to such a signal. Positional cloning studies identified leptin as the circulating factor and subsequent parabiosis studies confirmed leptin's ability to exchange effectively between parabionts. These studies also suggest the presence of additional unidentified factors that influence body composition. This article is part of a Special Issue entitled: Animal Models of Disease.