Data Mining: Precision Analytical Retrospective Data Correlation

Study Overview
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Brief Summary
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Data from previously analyzed clinical samples tested by Precision Analytical, Inc. will be mined to identify and select samples from patients reporting hormone supplement use. Patient demographics (BMI, for example), different therapies and expected changes in hormone levels will be analyzed and hormone metabolite patterns will be compared. Samples will be deidentified prior to analysis.

Detailed Description
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The investigators have a list of 10 estrogen metabolites, 8 androgen metabolites, two progesterone metabolites, 4 cortisol metabolites, free cortisol, six organic acids, 8-hydroxy-2'-deoxyguanosine (8-OHdG), and melatonin that are measured on patient urine samples and cortisol and cortisone on patient saliva samples. The investigators would like to both reinforce the validation of the accuracy of these urinary markers and examine how these markers associate with patient demographics, symptoms, hormone therapy doses and routes of administration. This study will involve analysis of existing data from routine clinical care. All data will be deidentified and each set of results will be given a study ID number. The key will be held by Danielle Martinot and will contain only the original Precision Analytical sample accession number and the new study ID (identification). No identifying PHI (Protected Health Information) will be accessible to the PI. These data will be used to evaluate the following hypotheses: 1) Urinary hormone measures accurately reflect expected changes in hormones with regard to circadian rhythm, menstrual status, and use of hormonal medications; 2) Urinary metabolites of cortisol will show a stronger association with body mass index and symptoms related to cortisol production as compared to salivary measures; 3) Urine values of reproductive hormones and organic acids will correlate to the dosing of estrogen and androgens more strongly than to progesterone creams; 4) 8-OHdG, a measure of oxidative stress, and melatonin will be correlated with age and BMI; and 5) Urinary hormone measures will capture age-related changes in hormone regulation.

Official Title
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Precision Analytical Retrospective Data Correlation

Conditions
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Obesity; Endocrine, Hormone Disturbance

Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Had testing done at Precision Analytical between 2016 and 2019 Exclusion Criteria: Varies by data analysis

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 85 Years

Sexes Eligible for Study
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All

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Precision Analytical patients<br>Individuals who had laboratory work completed at Precision Analytical and completed the associated questionnaire on symptoms and comorbidities. | |

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| BMI - weight and height will be combined to report BMI in kg/m2 | Relationship of BMI to cortisol production and clearance | 6 months | 
| Urinary hormonal profile including concentrations of estrone, estradiol, estriol, alpha-pregnanediol, and beta-pregnanediol | Determination of urine estrogen and progesterone metabolites in postmenopausal women receiving hormonal treatment | 6 months | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Cortisol, Cortisol metabolites, Obesity, testosterone, estradiol, Hormone therapy, Sleep disturbance, Aging