Trace LC/MS/MS quantitation of 17β‐estradiol as a biomarker for selective estrogen receptor modulator activity in the rat brain |
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Authors: | Chris Petucci Tom Lloyd Heather A. Harris Xiaochun Zhang Vargheese M. Chennathukuzhi Belew Mekonnen Yanxuan Cai |
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Affiliation: | 1. Discovery Analytical Chemistry, Pfizer, Collegeville, PA 19426, USA;2. Drug Safety and Metabolism, Pfizer, Collegeville, PA 19426, USA;3. Formerly Women's Health and Musculoskeletal Biology, Wyeth Research, Collegeville, PA 19426, USA;4. Medicinal Chemistry, Pfizer, Collegeville, PA 19426, USA;5. Pfizer, Monmouth Junction, NJ 08852, USA |
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Abstract: | A sensitive LC/MS/MS method has been developed by derivatization of 17β‐estradiol (E2) with dansyl chloride to quantitate 17β‐E2 in female rat serum. The use of E2‐d5 minimized interferences from endogenous 17β‐E2 in order to achieve a limit of quantitation (LOQ) of 2.5 pg/ml using 150 µl of female rat serum. The recovery of the dansyl derivative was 95% or greater in quality control samples. The intra and interday assay precision was better than 8.2 and 6.2%, respectively, with accuracies ranging from 97 to 101% in the quality control samples. The assay was used for the quantitation of serum E2 as a biomarker for the estrogen receptor (ER) antagonist activity of small molecule SERMs (selective estrogen receptor modulators) in the female rat brain. The study revealed that a statistically significant upregulation of serum 17β‐E2 occurred for rats dosed with SERMs that are known to penetrate the brain and disrupt the hypothalamic‐pituitary‐ovarian (HPO) axis. Variations in 17β‐E2 in ascending dose studies also correlated with the corresponding trends in CYP17a1 levels, an mRNA biomarker for ovarian hyperstimulation. This biomarker assay has provided a useful screen for medicinal chemistry optimization to produce SERMs that do not interfere with negative feedback of estrogens on the brain and for biological hypothesis testing. Copyright © 2009 John Wiley & Sons, Ltd. |
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Keywords: | quantitation biomarker trace detection mass spectrometry gene expression |
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