A Novel Approach to Characterization of the Female Hormone Profile: Feasibility and Research Application of Daily At-Home Urine Hormone Monitoring

Katie R. Hirsch,Callie L. Unrein,Kaitlyn T. Ramey
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Abstract

Introduction: Accounting for and characterizing hormonal status and menstrual phase can add complication, time, and expense to studies, creating a barrier to conducting rigorous female-specific research. Recent advances in at-home urine hormone testing present a potentially feasible method for quantifying daily estrogen (E), progesterone (PDG), and luteinizing hormone (LH) across the menstrual cycle, that could enhance research feasibility and precision. Purpose: to evaluate the feasibility and research utility of at-home daily urine hormone monitoring for characterizing female hormone profiles. A secondary aim was to assess the relationship between daily urine and salivary hormone concentrations and patterns. Methods: Thirty-three healthy women, (Age: 23.8±0.7yrs; BMI: 23.4±0.5kg/m 2 ; %BF: 27.3±1.0%), including eumenorrheic (EUM, n=13), hormonal intrauterine device users (IUD, n=10), and oral contraceptive users (OC, n=10), completed daily urine and saliva sampling over ~1–2 hormone cycles. An at-home smartphone-compatible monitor was used to quantify urine E, PDG, and LH from lateral flow assays. Saliva E and PDG was assessed using enzyme immunoassays. Associations between daily urine and saliva hormone concentrations were evaluated using within-individual Pearson correlations; hormonal patterns were assessed using correlations of smoothed time-series data. Results: Compliance with daily hormone testing was high (92.8±8.7%) across 36.0±13.7days of tracking. Key menstrual cycle features were identified within 1–2 cycles. Associations between daily urine and saliva E and PDG concentrations were weak to moderate (r=0.36-0.81; p<0.001-0.046) in 25% and 34% of cycles, respectively. Comparatively, associations between E and PDG patterns were moderate to strong (r=0.49-0.99; p<0.001-0.050) in 41% and 66% of cycles, respectively. Conclusions: At-home daily urine hormone monitoring is a feasible method for characterizing menstrual cycle hormones that could advance the quality, inclusivity, and interpretability of female health and physiology research.
女性激素谱表征的新方法:每日在家尿液激素监测的可行性及研究应用
介绍:考虑和描述激素状态和月经阶段会增加研究的复杂性、时间和费用,为进行严格的女性特异性研究创造障碍。家庭尿激素检测的最新进展为整个月经周期中每日雌激素(E)、黄体酮(PDG)和黄体生成素(LH)的定量提供了一种潜在可行的方法,可以提高研究的可行性和准确性。目的:评价家庭每日尿激素监测对女性激素谱特征的可行性和研究效用。第二个目的是评估每日尿液和唾液激素浓度和模式之间的关系。方法:33名健康女性(年龄:23.8±0.7岁;BMI: 23.4±0.5kg/ m2; %BF: 27.3±1.0%),包括痛经(EUM, n=13)、激素宫内节育器(IUD, n=10)和口服避孕药(OC, n=10),在1 ~ 2个激素周期内完成每日尿液和唾液取样。一个家庭智能手机兼容的监视器用于定量尿E, PDG和LH从侧流分析。采用酶免疫法测定唾液E和PDG。每日尿液和唾液激素浓度之间的关联使用个体内Pearson相关性进行评估;使用平滑时间序列数据的相关性评估激素模式。结果:在36.0±13.7d的随访中,每日激素检测的依从性较高(92.8±8.7%)。主要月经周期特征在1-2个周期内确定。在25%和34%的周期中,每日尿液和唾液E和PDG浓度之间的相关性为弱至中度(r=0.36-0.81; p<0.001-0.046)。相比之下,在41%和66%的循环中,E和PDG模式之间的相关性为中等至强(r=0.49-0.99; p<0.001-0.050)。结论:家庭每日尿激素监测是一种表征月经周期激素的可行方法,可提高女性健康与生理研究的质量、包容性和可解释性。
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