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Biology of Reproduction 61, 553-556 (1999)
©Copyright 1999 Society for the Study of Reproduction, Inc.


Articles

Morphometric Analysis of Primordial Follicle Number in Pigtailed Monkey Ovaries: Symmetry and Relationship with Age1

Paul B. Miller2,a, Jay S. Charlestonb, David E. Battagliac, Nancy A. Kleinc, and Michael R. Soulesc

a Division of Reproductive Endocrinology, Center for Women's Medicine, Greenville Hospital System,Greenville, South Carolina 29605 b Department of Environmental Health, School of Public Health and Community Medicine, and c Division of Reproductive Endocrinology, Department of Obstetrics and Gynecology, School of Medicine, University of Washington, Seattle, Washington 98105

We previously described a modern, three-dimensional counting method for determining primordial follicle (PF) numbers in primate ovaries using a combination of fractionator and physical dissector techniques. The purposes of our current study were 1) to apply our method to describe intraindividual differences in PF numbers between ovaries and 2) perform a linear regression analysis of age versus mean PF number per ovary. Ovaries from 16 pigtailed monkeys (Macaca nemestrina) age 0.85–12.5 yr were examined. Both ovaries were available from 11 subjects. The difference between ovaries ranged from 2% to 22% (mean ± SD, 10 ± 7%) and was not statistically significant. Regression analysis of data from all 16 subjects displayed a log-linear relationship according to the equation log Na = 4.8542 - 0.0714(age) where Na is the number of PF at a given chronological age. The fit for this model was highly significant (r2 = 0.73, p <= 0.0001). Extrapolation of the model suggests that there are 71 483 PF in each ovary at the time of birth. We conclude that right and left ovaries differ little and that PF numbers follow a log-linear rate of decline during the reproductive years in this species.

1 Supported by a grant from Serono Laboratories, Inc., Norwell, MA.

2 Correspondence: Paul B. Miller, 890 W. Faris Road, Suite 470, Greenville, SC 29605. FAX: 864 455 8489; pmiller{at}ghsms.ghs.org




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