Development of a nonhuman primate model for spontaneous hypertension. Blood pressures in first-generation offspring.
A breeding colony of two subspecies of African green monkeys has been established in an attempt to develop a strain of nonhuman primates with inherited spontaneous hypertension. Selective breeding of normotensive and hypertensive feral animals has produced over 300 first-generation, colony-born offspring of nine possible types, which were grouped according to parentage. Blood pressures were measured by indirect methods in 335 unanesthetized animals aged 0.5 to 6 years. Analysis of variance and covariance of mean blood pressures of animals aged 0.5 to 6 years indicated significant differences between control and experimental offspring groups (p less than .001) both before and after adjusting for sex, subspecies, age, and body weight. Mean blood pressures of control and experimental (p less than .02) offspring were significantly different from 0.5 to 5 years of age. The slopes of the regression of mean blood pressure on age were significantly different between the control and experimental groups (p less than .001). Multiple linear regression analysis indicated significant differences among blood pressure, body weight, and age (p less than .001) and also between age and weight (p less than .001) between the groups. The relative contributions of age and weight to determining the mean blood pressure differed, however. The results indicate that elevated blood pressures can be detected in offspring with even one parent having elevated blood pressure from as early as 1 year of age and that the tendency to develop elevated blood pressure is transmitted from parent to offspring in this species, thereby providing a strong indication that a hypertensive strain of monkeys can be developed through selective breeding.
D000367:Age Factors; D000818:Animals; D001794:Blood Pressure; D001835:Body Weight; D002522:Chlorocebus aethiops; D004195:Disease Models, Animal; D006973:Hypertension / Q000235:genetics* / Q000503:physiopathology; D012044:Regression Analysis; D012737:Sex Factors