Maskarinec Gertraud, Beckford Fanchon, Morimoto Yukiko, Franke Adrian A, Stanczyk Frank Z
1University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI 96813, USA.
2University of Southern California, Los Angeles, CA 90095, USA.
Biomark Med. 2015;9(5):417-24. doi: 10.2217/bmm.15.10.
We evaluated conjugated and unconjugated urinary estrogen metabolites as surrogate biomarkers for serum levels of unconjugated E1 and E2 in premenopausal women.
MATERIALS & METHODS: Repeated blood and urine samples were analyzed for estrogens and their metabolites using radioimmunoassays and liquid chromatography/mass spectrometry.
The strongest correlation (r = 0.39) was observed between serum E1 and urinary E1 and E2. The correlations of urinary E2 (r = 0.35), E1 (r = 0.29), all E2 metabolites (r = 0.30), all E1 metabolites (r = 0.23) and total estrogens (r = 0.26) with serum E2 were only moderate although statistically significant. All correlations were substantially stronger for Whites than Asians.
Urinary E2 emerged as the best predictor for serum E1 and E2, but the large intra-subject variability in urinary estrogen levels limits its use as a biomarker.
我们评估了结合型和非结合型尿雌激素代谢产物作为绝经前女性血清非结合型E1和E2水平替代生物标志物的情况。
使用放射免疫分析法和液相色谱/质谱法对重复采集的血液和尿液样本进行雌激素及其代谢产物分析。
血清E1与尿E1和E2之间观察到最强的相关性(r = 0.39)。尿E2(r = 0.35)、E1(r = 0.29)、所有E2代谢产物(r = 0.30)、所有E1代谢产物(r = 0.23)和总雌激素(r = 0.26)与血清E2的相关性虽然具有统计学意义,但仅为中等程度。白人的所有相关性均明显强于亚洲人。
尿E2成为血清E1和E2的最佳预测指标,但尿雌激素水平在个体内的较大变异性限制了其作为生物标志物的应用。