Literature DB >> 27672030

Breaking the Cycle: Estrous Variation Does Not Require Increased Sample Size in the Study of Female Rats.

Alex Dayton1, Eric C Exner1, John D Bukowy1, Timothy J Stodola1, Theresa Kurth1, Meredith Skelton1, Andrew S Greene1, Allen W Cowley2.   

Abstract

Despite the striking differences between male and female physiology, female physiology is understudied. In response, the National Institutes of Health is promulgating new policies to increase the use of female organisms in preclinical research. Females are commonly believed to have greater variability than males because of the estrous cycle, but recent studies call this belief into question. Effects of estrous cycling on mean arterial pressure were assessed in female Dahl S rats using telemetry and vaginal cytometry and found that estrous cycling did not affect mean arterial pressure magnitude or variance. Data from the PhysGen arm of the Program for Genomic Applications was used to compare male and female variance and coefficient of variation in 142 heart, lung, vascular, kidney, and blood phenotypes, each measured in hundreds to thousands of individual rats from over 50 inbred strains. Seventy-four of 142 phenotypes from this data set demonstrated a sex difference in variance; however, 59% of these phenotypes exhibited greater variance in male rats rather than female. Remarkably, a retrospective power analysis demonstrated that only 16 of 74 differentially variable phenotypes would be detected when using an experimental cohort large enough to detect a difference in magnitude. No overall difference in coefficient of variation between male and female rats was detected when analyzing these 142 phenotypes. We conclude that variability of 142 traits in male and female rats is similar, suggesting that differential treatment of males and females for the purposes of experimental design is unnecessary until proven otherwise, rather than the other way around.
© 2016 American Heart Association, Inc.

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Keywords:  estrous cycle; experimental design; experimental models; sample size; sex; variation

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Year:  2016        PMID: 27672030      PMCID: PMC5104284          DOI: 10.1161/HYPERTENSIONAHA.116.08207

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


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