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MICROMouse Program Application Abstract
Increased risk for diabetes and obesity in offspring of multiparous mice
Laura Woollett   (Cincinnati, OH)
Large-for-gestationally aged (LGA) infants are at an increased risk to develop diabetes and obesity later in life in both humans and rodents. The accelerated fetal growth rates appear to permanently affect metabolic pathways (programming), thereby increasing the susceptibility of the individual to develop diabetes and obesity in adulthood. We have recently determined in mice, as in humans, that fetal growth rates are accelerated in later pregnancies of multiparous dams of the FVBN and C57BL/6 strains. We hypothesize the LGA pups (from the fourth pregnancies) will be prone to develop diabetes and obesity in adulthood as compared to average-sized pups (from the first pregnancies). If our hypothesis tests true, then the development of diabetes and obesity in some mice would be due to fetal programming as well as the genetic manipulation being examined. Since most mouse colonies are maintained by breeder mice that are bred multiple times, this could be a major confounding factor of studies intended to examine development of obesity and diabetes. Thus, the aim of this proposal is to determine if larger pups born from later (e.g. fourth) pregnancies have a greater tendency to develop diabetes and obesity than pups born from first pregnancies. We will determine if this tendency is the same for FVBN and C57BL/6 mouse strains, strains with different propensities to develop obesity and diabetes. We will also begin to dissect the mechanism responsible for the changes in growth rates by delineating changes in transport of metabolites from the maternal circulation to the fetus. Knowing if LGA pups from later pregnancies of multiparous dams develop diabetes and obesity more readily is essential for the MMPC Program and could fundamentally alter how investigators interpret data and design studies. In addition, dissecting out the mechanism responsible for the different fetal growth rates will enable researchers to begin to design strategies aimed at breaking the obesity cycle.

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