4.6 Article

A Dominant Negative ERβ Splice Variant Determines the Effectiveness of Early or Late Estrogen Therapy after Ovariectomy in Rats

Journal

PLOS ONE
Volume 7, Issue 3, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0033493

Keywords

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Funding

  1. Alzheimer's Association [133086]
  2. National Center for Research Resources (NCRR) a component of NIH [RR17701]
  3. University Mississippi Medical Center

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The molecular mechanisms for the discrepancy in outcome of initiating estrogen therapy (ET) around peri-menopause or several years after menopause in women are unknown. We hypothesize that the level of expression of a dominant negative estrogen receptor (ER) beta variant, ER beta 2, may be a key factor determining the effectiveness of ET in post-menopausal women. We tested this hypothesis in ovariectomized nine month-old (an age when irregular estrous cycles occur) female Sprague Dawley rats. Estradiol treatment was initiated either 6 days (Early ET, analogous to 4 months post-menopause in humans), or 180 days (Late ET, analogous to 11 years post-menopause in humans) after ovariectomy. Although ER beta 2 expression increased in all OVX rats, neurogenic and neuroprotective responses to estradiol differed in Early and Late ET. Early ET reduced ER beta 2 expression in both hippocampus and white blood cells, increased the hippocampal cell proliferation as assessed by Ki-67 expression, and improved mobility in the forced swim test. Late ET resulted in either no or modest effects on these parameters. There was a close correlation between the degree of ER beta 2 expression and the preservation of neural effects by ET after OVX in rats, supporting the hypothesis that persistent elevated levels of ER beta 2 are a molecular basis for the diminished effectiveness of ET in late post-menopausal women. The correlation between the expression of ER beta 2 in circulating white blood cells and brain cells suggests that ER beta 2 expression in peripheral blood cells may be an easily accessible marker to predict the effective window for ET in the brain.

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