High-temperature liquid chromatography-isotope ratio mass spectrometry methodology for carbon isotope ratio determination of anabolic steroids in urine.

BACKGROUND: Gas Chromatography Isotope Ratio Mass Spectrometry (GC-C-IRMS) has long been used in routine laboratories to determine the δ13C values of anabolic steroids in urine, differentiating between, e.g., endogenous and synthetic testosterone (T) in sports doping control. Until now, liquid chromatography (LC-IRMS) has not been used. The LC-IRMS setup doesn't allow organic solvents or modifiers in the mobile phase for δ13C determinations. Mid-to non-polar analytes such as steroids can be analysed in water heated to High Temperatures (HT, up to 200 °C) because at 200 °C has a similar polarity as 80/20 methanol/water at ambient temperature. In this work, we developed a method for steroids in urine, extending the application of the LC-IRMS to non-polar analytes in complex matrices. RESULT: An HT-LC-IRMS method capable of determining the δ13C values of four steroids (i.e., testosterone (T), 5α-androstane-3α,17ß-diol (ααß), 5ß-androstane-3α,17ß-diol (ßαß) and pregnanetriol (PT)) in urine was developed and validated. Accuracy ranged from 0.23 ‰ (ααß and ßαß) to 0.49 ‰ (T), and the detection limit was set at 10 ng mL-1 (T, ααß+ßαß). The validation data and a comparison of authentic urine samples analysed with HT-LC-IRMS and GC-C-IRMS indicated a comparable performance between HT-LC-IRMS and GC-C-IRMS. SIGNIFICANCE: HT-LC-IRMS can be used to determine δ13C values of anabolic steroids, extending the applicability of both HT-LC and LC-IRMS to non-polar substances determined in a complex matrix in routine laboratory practice.

A novel ultra-high-performance supercritical fluid chromatography hyphenated to tandem mass spectrometry method for the analysis of urinary endogenous steroids in the anti-doping context.

The first step in the detection of testosterone (T) doping is to measure the urinary steroid profile for the athlete biological passport (ABP). To harmonise the analysis between anti-doping laboratories, urinary steroid profiling is parametrised in deep detail and shall be performed by gas chromatography hyphenated to mass spectrometry (GC-MS). However, due to its requirement for extensive sample preparation, alternatives to GC-MS are being actively pursued. The aim of this study was the evaluation of Ultra-High-Performance Supercritical Fluid Chromatography hyphenated to tandem Mass Spectrometry (UHPSFC-MS/MS) as an alternative for the quantification of endogenous urinary steroids. In this context, we developed a high throughput sample extraction method, followed by a novel UHPSFC-MS/MS method for the analysis of 10 endogenous urinary steroids which are relevant for doping control analysis. Depending on the steroid, the herein presented method is capable of quantification from 0.5 ng/mL up to 10 µg/mL. After validation, the applicability of the method was evaluated by analysing 132 authentic urine samples, which demonstrated results similar to classical GC-MS analysis. Steroid concentrations determined by UHPSFC-MS/MS were slightly overestimated in comparison with GC-MS, but the ratios had <10 % difference between the two methods. As the ABP considers the steroid ratios for passport evaluation, the herein presented method could be used for steroid profiling without reducing the sensitivity of the ABP. Thus, we would propose to consider UHPSFC-MS/MS as an alternative to GC-MS after more tests would have been performed to support our findings. Furthermore, we have also investigated the potential of this technology for sample purification prior to Isotope Ratio Mass Spectrometry (IRMS) for the differentiation between exogenous and endogenous origin of T and its metabolites. While the achieved separation was sufficient to purify urine samples for IRMS analysis in our proof-of-concept study, the instrumental parameters should be further refined for future use.

The interpretation of immunometric, chromatographic and mass spectrometric data for steroids in diagnosis of endocrine disorders.

The analysis of steroids for endocrine disorders is in transition from immunoassay of individual steroids to more specific chromatographic and mass spectrometric methods with simultaneous determination of several steroids. Gas chromatography (GC) and liquid chromatography (LC) coupled with mass spectrometry (MS) offer unrivalled analytical capability for steroid analysis. These specialist techniques were often judged to be valuable only in a research laboratory but this is no longer the case. In a urinary steroid profile up to 30 steroids are identified with concentrations and excretion rates reported in a number of ways. The assays must accommodate the wide range in steroid concentrations in biological fluids from micromolar for dehydroepiandrosterone sulphate (DHEAS) to picomolar for oestradiol and aldosterone. For plasma concentrations, panels of 5-20 steroids are reported. The profile results are complex and interpretation is a real challenge in order to inform clinicians of likely implications. Although artificial intelligence and machine learning will in time generate reports from the analysis this is a way off being adopted into clinical practice. This review offers guidance on current interpretation of the data from steroid determinations in clinical practice. Using this approach more laboratories can use the techniques to answer clinical questions and offer broader interpretation of the results so that the clinician can understand the conclusion for the steroid defect, and can be advised to program further tests if necessary and instigate treatment. The biochemistry is part of the patient workup and a clinician led multidisciplinary team discussion of the results will be required for challenging patients. The laboratory will have to consider cost implications, bearing in mind that staff costs are the highest component. GC-MS and LC-MS/MS analysis of steroids are the choices. Steroid profiling has enormous potential to improve diagnosis of adrenal disorders and should be adopted in more laboratories in favour of the cheap, non-specific immunological methods.

Innovative molecular networking analysis of steroids and characterisation of the urinary steroidome.

Steroids are cholesterol-derived biomolecules that play an essential role in biological processes. These substances used as growth promoters in animals are strictly regulated worldwide. Targeted assays are the conventional methods of monitoring steroid abuse, with limitations: only detect known metabolites. Metabolism leads to many potential compounds (isomers), which complicates the analysis. Thus, to overcome these limitations, non-targeted analysis offers new opportunities for a deeper understanding of metabolites related to steroid metabolism. Molecular networking (MN) appears to be an innovative strategy combining high-resolution mass spectrometry and specific data processing to study metabolic pathways. In the present study, two databases and networks of steroids were constructed to lay the foundations for the implementation of the GNPS-MN approach. Steroids of the same family were grouped together, nandrolone and testosterone were linked to other analogues. This network and associated database were then applied to a few urine samples in order to demonstrate the annotation capacity in steroidome study. The results show that MN strategy could be used to study steroid metabolism and highlight biomarkers.

Cyanoacetohydrazide as a Novel Derivatization Agent for the Determination of UHPLC-HRMS Steroids in Urine.

The possibility of cyanoacetohydrazide usage as a novel derivatizing agent is demonstrated in the presented article, and a comparison with hydroxylamine as the most commonly used reagent is provided. Optimal conditions for steroid derivatization with cyanoacetohydrazide are provided. According to the collected data, the maximum yield of derivatives was observed at pH 2.8 within 70 min at 40 °C with 5 ng/mL limit of detection for all investigated analytes. It was shown that cyanoacetohydrazide derivatives produces both syn- and anti-forms as well as hydroxylamine, and their ratios were evaluated and shown in presented work. An efficiency enchantment from two to up to five times was achieved with a novel derivatization reagent. Its applicability for qualitative analysis of steroids in urine was presented at real samples. Additionally, the reproducible fragmentation of the derivatizing agent in collision-induced dissociation offers opportunities for simplified non-targeted steroidomic screening. Furthermore, cyanoacetohydrazide increases ionization efficiency in positive mode, which can eliminate the need for redundant high-resolution instrument runs required for both positive and negative mode analyses.

Urinary steroid profiling using liquid chromatography-tandem mass spectrometry for the diagnosis of canine Cushing's syndrome.

Serum cortisol measurements by chemiluminescence enzyme immunoassay (CLEIA) are widely used to diagnose hypercortisolism (HC) or Cushing's syndrome in dogs. However, they are associated with problems such as the need for multiple blood collections under stressful conditions or cross-reactivity between hormones. Therefore, a less invasive and more accurate diagnostic method is required. This study aimed to develop a urinary steroid profile analysis method using liquid chromatography-tandem mass spectrometry (LC/MS/MS) and to evaluate its clinical usefulness. Sixty-five healthy dogs and 38 dogs with suspected HC were included in the study. Using LC/MS/MS, the levels of 11 steroid hormones in the urine were determined. We established the upper limit of the reference interval for each urinary steroid-to-creatinine ratio and evaluated their diagnostic performances. The levels of the five steroid hormones were significantly higher in the 14 dogs with HC than in the 24 dogs with mimicking HC and 65 healthy dogs. The urinary corticosterone-to-creatinine ratio showed the highest diagnostic accuracy (area under the curve, 0.96). A significant correlation was seen between urinary cortisol concentrations measured by LC/MS/MS and CLEIA (rs = 0.88, P <0.001), although the CLEIA measurements were significantly higher than the LC/MS/MS measurements (P <0.001). LC/MS/MS-based urinary steroid profiles are a promising tool for diagnosing canine HC.

Profiling of urinary steroids aided by lithium ion adduction-based ultrahigh-performance liquid chromatography-tandem mass spectrometry.

RATIONALE: As 3-OH-containing steroids are prone to dehydration by conventional electrospray ionization, reducing detection sensitivity, Li ion adduction-based ultrahigh-performance liquid chromatography-tandem mass spectrometry (UHPLC/MS/MS), developed to prevent dehydration and effectively detect 3-OH steroids, was applied for profiling total and free steroids in urine. METHODS: Free urinary steroids were isolated directly from urine by solid-phase extraction (SPE) with 80% acetonitrile. The total steroids were prepared by enzymatic treatment of urine with a cocktail of sulfatase and glucronidase, protein precipitation, and separation with the above SPE. In order to detect as many steroid types as possible, UHPLC/MS/MS (Li method) with Li+ solution added after the column was used for analysis in addition to the conventional method of detecting protonated ions (H method). The 13 3-OH steroids and the remaining 16 steroids were quantified by standard curves prepared using product ion transitions derived from [M + Li]+ and MH+ , respectively. RESULTS: Two groups of human urine, male and female urine, were analyzed. 3-OH steroids could be detected with greater sensitivity using the Li method than the conventional method. The absolute amounts of each steroid were normalized based on creatinine levels. The difference between the male and female groups are clearly attributable to sex steroids. CONCLUSIONS: Twenty-nine total steroids and 19 free steroids were identified in a limited volume (240 mL) of urine. Of these, 13 3-OH steroids were better detected by Li+ adduction-based UHPLC/MS/MS.

Influence of multiple human chorionic gonadotropin administrations on serum and urinary steroid Athlete Biological Passport profiles in males.

The Athlete Biological Passport (ABP) is a longitudinal tool used in anti-doping to monitor biological parameters known to change with performance-enhancing drug use. The ABP consists of multiple modules, including two aimed at detecting the use of endogenous anabolic androgenic steroids: the urinary and serum steroid modules. Human chorionic gonadotropin (hCG) is a protein hormone potentially abused by male athletes to increase the production of endogenous testosterone. To date, no studies have investigated the impact of extended hCG administration on the urinary and serum steroid modules of the ABP. The goal of this study was to identify the impact of multiple hCG administrations on the parameters tracked as part of the urinary and serum steroid modules of the ABP. Ten recreationally active, healthy male individuals self-administered seven 250 µg hCG injections over 3 weeks. Serum and urine samples were collected before, during, and 2 weeks following the final injection. All ABP parameters were quantified in the respective matrix, and steroid profiles were created with Anti-Doping Administration and Management System adaptive model upper and lower limits for both matrices. In both serum and urine profiles, testosterone increased; however, the testosterone/epitestosterone ratio in urine and the testosterone/androstenedione ratio in serum showed minimal changes. Additionally, serum luteinizing hormone (LH) was quantified using an immunoassay, and a serum testosterone/LH ratio was generated. Serum LH values decreased during administration causing large increases in the serum T/LH ratio, indicating this ratio may be a more sensitive parameter for detecting hCG abuse than urinary testosterone/epitestosterone or serum testosterone/androstenedione.

Effect of thyroid hormones administration on urinary endogenous steroid profile of the athlete biological passport.

This work focused on the possible alterations of the markers of the steroidal module of the athlete biological passport, considering samples of athletes declaring and not-declaring the supplementation of thyroid hormones (TH) in the Doping Control Form (DCF). Concentrations of 5α-androstane-3α,17ß-diol (5α-Adiol), 5ß-androstane-3α,17ß-diol (5ß-Adiol), testosterone (T), androsterone (A), etiocholanolone (Etio), epitestosterone (E), pregnanediol (PD), dehydroepiandrosterone (DHEA), and 11ß-hydroxy-androsterone (OHA) were calculated using internal standards and external calibration by gas chromatography-tandem mass spectrometry. Also, ratios between the above biomarkers were also estimated. The data set was composed of samples from females and males declaring and not-declaring TH supplementation in the DCF. To corroborate these observations, a controlled urinary excretion study was carried out with multiple doses of sodium liothyronine (T3). Female data showed significant differences for the concentrations of 5α-Adiol, A, DHEA, E, OHA, and T and the ratio A/Etio between FD and FND groups, whereas the male groups only showed significant differences in OHA concentration. In both cases, males and females declaring the consumption of levothyroxine showed narrower data distribution and diminished percentiles from 17% to 67% with respect to the not-declaring corresponding groups (p < 0.05). Concentrations of 5α-metabolites showed a higher depression for the FND, and both FD and MD groups showed a peculiar behavior for the PD concentrations. The controlled study agreed with the observations, mainly for the female group with significant differences for concentrations of E, Etio, 5α-Adiol, and 5ß-Adiol after TH administration. The interpretation of the steroid markers of the ABP should consider TH administrations.

LC-HRMS-based metabolomics workflow: An alternative strategy for metabolite identification in the antidoping field.

RATIONALE: The proposed metabolomic workflow, based on coupling high-resolution mass spectrometry with computational tools, can be an alternative strategy for metabolite detection and identification. This approach allows the extension of the investigation field to chemically different compounds, maximizing the information obtainable from the data and minimizing the time and resources required. METHODS: Urine samples were collected from five healthy volunteers before and after oral administration of 3ß-hydroxyandrost-5-ene-7,17-dione as a model compound and defining three excretion time intervals. Raw data were acquired in both positive and negative ionization modes using an Agilent Technologies 1290 Infinity II series HPLC coupled to a 6545 Accurate-Mass Quadrupole Time-of-Flight. They were then processed to align peak retention times with the same accurate mass, and the resulting data matrix was subjected to multivariate analysis. RESULTS: Multivariate analysis (PCA and PLS-DA models) demonstrated high similarity between samples belonging to the same collection time interval and clear discrimination between different excretion intervals. The blank and long excretion groups were distinguished, suggesting the presence of long excretion markers, which are of remarkable interest in anti-doping analyses. The correspondence of some significant features with metabolites reported in the literature confirmed the rationale and usefulness of the proposed metabolomic approach. CONCLUSIONS: The presented study proposes a metabolomics workflow for the early detection and characterization of drug metabolites by untargeted urinary analysis to reduce the range of substances still excluded from routine screening. Its application has detected minor steroid metabolites, as well as unexpected endogenous alterations, proving to be an alternative strategy that can allow gathering a more complete range of information in the antidoping field.

A new multimodal paradigm for biomarkers longitudinal monitoring: a clinical application to women steroid profiles in urine and blood.

BACKGROUND: Most current state-of-the-art strategies to generate individual adaptive reference ranges are designed to monitor one clinical parameter at a time. An innovative methodology is proposed for the simultaneous longitudinal monitoring of multiple biomarkers. The estimation of individual thresholds is performed by applying a Bayesian modeling strategy to a multivariate score integrating several biomarkers (compound concentration and/or ratio). This multimodal monitoring was applied to data from a clinical study involving 14 female volunteers with normal menstrual cycles receiving testosterone via transdermal route, as to test its ability to detect testosterone administration. The study samples consisted of urine and blood collected during 4 weeks of a control phase and 4 weeks with a daily testosterone gel application. RESULTS: Integrating multiple biomarkers improved the detection of testosterone gel administration with substantially higher sensitivity compared with the distinct follow-up of each biomarker, when applied to selected urine and serum steroid biomarkers, as well as the combination of both. Among the 175 known positive samples, 38% were identified by the multimodal approach using urine biomarkers, 79% using serum biomarkers and 83% by combining biomarkers from both biological matrices, whereas 10%, 67% and 64% were respectively detected using standard unimodal monitoring. SIGNIFICANCE AND NOVELTY: The detection of abnormal patterns can be improved using multimodal approaches. The combination of urine and serum biomarkers reduced the overall number of false-negatives, thus evidencing promising complementarity between urine and blood sampling for doping control, as highlighted in the case of the use of transdermal testosterone preparations. The generation in a multimodal setting of adaptive and personalized reference ranges opens up new opportunities in clinical and anti-doping profiling. The integration of multiple parameters in a longitudinal monitoring is expected to provide a more complete evaluation of individual profiles generating actionable intelligence to further guide sample collection, analysis protocols and decision-making in clinics and anti-doping.

Intra-individual stability of longitudinal urinary steroid profiles in Swedish athletes.

The steroid module of the athlete biological passport (ABP) aims to detect doping with endogenous steroids by longitudinally monitoring epitestosterone (E), testosterone (T), and four metabolically related steroids and their ratios. There are large variations in the urinary levels of the androgen metabolites due to genetic polymorphisms, drug use, menstrual cycle, and other factors. In this study, we aimed to increase our understanding of the natural, within-individual variations of the established ABP markers in males and females over time, looking at samples collected both in and out-of-competition (IC/OOC). Urinary steroid profiles from 323 Swedish athletes, with at least five samples per athlete, were extracted from ADAMS together with information on type of sport, IC/OOC, and time of day. Data were analyzed using coefficient of variation (CV%) to examine within-subject variability and linear mixed effects models to estimate within-subject change in the metabolites over time. The metabolites and ratios expressed higher individual CV% in females (23-56) than in males (18-39). Samples taken OOC showed larger intra-individual variations than samples collected IC for most of the ABP metabolites in both sexes. The median concentrations were higher IC for some metabolites, particularly testosterone being 52% higher among females. Time of day influenced the intra-individual variation of the urinary steroid profile with decreases in androgen metabolites over time, if measured in evening versus daytime. These findings can aid in the testing strategies and interpretation of the steroidal module of ABP.

Metabotypes of congenital adrenal hyperplasia in infants determined by gas chromatography-mass spectrometry in spot urine.

Biochemical monitoring of treatment in infants with classic congenital adrenal hyperplasia (CAH) is not yet well defined. The aim of this study was to perform a cluster analysis of the urinary steroid metabolome for treatment monitoring of infants with classic salt-wasting CAH. We analyzed spot urine samples obtained from 60 young children ≤ 4 years of age (29 females) with classic CAH due to 21-hydroxylase deficiency treated with hydrocortisone and fludrocortisone by targeted gas chromatography-mass spectrometry (GC-MS). Patients were classified into different groups according to their metabolic patterns (metabotypes) using unsupervised k-means clustering algorithms. Three metabotypes could be discovered. Metabotype #1 (N = 15 (25%)) showed high concentrations of androgen and 17-hydroxyprogesterone (17OHP) precursor steroids, metabotype #2 (N = 28 (47%)) revealed balanced metabolic control, and metabotype #3 (N = 17; 28%) demonstrated severe adrenal suppression with low concentrations of androgen and 17OHP precursor steroids. Daily hydrocortisone doses and urinary concentrations of cortisol and cortisone metabolites did not differ between all three metabotypes. Metabotype #2 had highest daily dose of fludrocortisone (p = 0.006). Receiver operating characteristic curve analysis showed that 11-ketopregnanetriol (area under the curve [AUC] 0.967) and pregnanetriol (AUC 0.936) were most suitable of separating metabotype #1 from #2. For separation between metabotypes #2 vs. #3, the 11-oxygenated androgen metabolite 11-hydroxyandrosterone (AUC 0.983) and the ratio of 11-hydroxyandrosterone to tetrahydrocortisone (AUC 0.970) were most suitable. In conclusion, GC-MS-based urinary steroid metabotyping is a new method to help monitor the treatment of infants with CAH. This method allows classification of under-, over- and adequately treated young children.

Disposition of serum steroids in response to combined oral contraceptives and menstrual cycle phases: A double-blind, randomized, placebo-controlled study.

To analyze doping control samples from female athletes demands understanding of non-doping factors that affect the steroid profile. These could be physiological factors such as exercise, alcohol consumption, hormonal changes during the menstrual cycle, or the effect of commonly used approved drugs like combined oral contraceptives. Urine samples have been the main way of doping testing, but serum samples are proposed as a complement. Testosterone, dihydrotestosterone, or the ratio of testosterone and androstenedione has been proposed as a biomarker for testosterone doping because it increases after transdermal testosterone administration. In this double-blind, randomized, placebo-controlled study of 340 healthy females, we analyzed the serum steroid levels, including glucuronide metabolites, before and after 3 months of combined oral contraceptives or placebo. At follow up, sample collection in the placebo group was randomly distributed between different menstrual cycle phases. This enabled to analyze changes in concentrations between the follicular, ovulation, and luteal phases. Combined oral contraceptives decreased all serum steroids including the glucuronide metabolites. As expected, serum testosterone levels increased during the ovulation phase, and also androstenedione and androstenediol, whereas the glucuronide metabolites remained unaffected. Neither combined oral contraceptives nor menstrual cycle phases did affect the ratio of testosterone and androstenedione in serum, and consequently this ratio seems promising as a marker of doping with endogenous anabolic androgenic steroids in women.

Variability of the urinary and blood steroid profiles in healthy and physically active women with and without oral contraception.

The steroidal module of the athlete biological passport (ABP) targets the use of pseudo-endogenous androgenous anabolic steroids in elite sport by monitoring urinary steroid profiles. Urine and blood samples were collected weekly during two consecutive oral contraceptive pill (OCP) cycles in 15 physically active women to investigate the low urinary steroid concentrations and putative confounding effect of OCP. In urine, testosterone (T) and epitestosterone (E) were below the limit of quantification of 1 ng/ml in 62% of the samples. Biomarkers' variability ranged between 31% and 41%, with a significantly lesser variability for ratios (except for T/E [41%]): 20% for androsterone/etiocholanolone (p < 0.001) and 25% for 5α-androstane-3α,17ß-diol/5ß-androstane-3α,17ß-diol (p < 0.001). In serum, markers' variability (testosterone: 24%, androstenedione: 23%, dihydrotestosterone: 19%, and T/A4: 16%) was significantly lower than in urine (p < 0.001). Urinary A/Etio increased by >18% after the first 2 weeks (p < 0.05) following withdrawal blood loss. In contrast, serum T (0.98 nmol/l during the first week) and T/A4 (0.34 the first week) decreased significantly by more than 25% and 17% (p < 0.05), respectively, in the following weeks. Our results outline steroidal variations during the OCP cycle, highlighting exogenous hormonal preparations as confounder for steroid concentrations in blood. Low steroid levels in urine samples have a clear negative impact on the subsequent interpretation of steroid profile of the ABP. With a greater analytical sensitivity and lesser variability for steroids in healthy active women, serum represents a complementary matrix to urine in the ABP steroidal module.

Comparison of three different blood matrices for the quantification of endogenous steroids using UHPLC-MS/MS.

Urine is currently the matrix of choice for the detection of exogenous substances but also for the application of the steroidal module of the Athlete Biological Passport (ABP) consisting in a longitudinal monitoring of steroid biomarkers. To fill the limitations related to urine, the longitudinal monitoring of serum steroids concentration in the so-called 'blood steroid profile' has recently been proposed. Although serum samples are collected much less than urine samples, plasma derived from ABP whole blood samples used for the full blood count could be exploited for the quantification of endogenous steroids. Alternatively, dried blood spots (DBS) that are much easier to collect could also serve as matrix for the steroid profile. In this study, we compared the concentration levels of several endogenous steroids measured in three different blood matrices (serum, plasma and DBS) collected from 100 elite athletes participating in the 2019 Doha World Athletics Championships using UHPLC-MS/MS. Plasma and serum samples were collected by venipuncture, whereas DBS were generated from whole blood samples. Although steroids demonstrated a good agreement between the three matrices, a slight but acceptable underestimation (10%-20%) was observed in plasma compared with serum. The difference between DBS and the two other matrices was dependent of the bias between serum and plasma. We also showed that a generic HCT correction for DBS could be a valuable approach for quantitative measurements. This study demonstrates the possibility to use three different matrices for the quantification of endogenous steroids although the slight discrepancies should be considered for longitudinal evaluation.

Addressing recent challenges in isotope ratio mass spectrometry: Development of a method applicable to 1-androstene-steroids, 6α-hydroxy-androstenedione, and androstatrienedione.

In 2020, the confirmation of the non-endogenous origin of several pseudo-endogenous steroids by means of isotope ratio mass spectrometry (IRMS) was recommended by the World Anti-Doping Agency (WADA), in addition to previously established target analytes for IRMS in sports drug testing. To date, however, IRMS-based methods validated in accordance with current WADA regulations have not been available. Therefore, the aim of this research project was the development and validation of a method to determine the carbon isotope ratios (CIR) of all newly considered pseudo-endogenous steroids, encompassing the anabolic androgenic steroids comprising a 1-ene-core structure (5α-androst-1-ene-3ß,17ß-diol, 5α-androst-1-ene-3,17-dione [1AD], 17ß-hydroxy-5α-androst-1-en-3-one, 3α-hydroxy-5α-androst-1-ene-17-one [1AND], and 3ß-hydroxy-5α-androst-1-ene-17-one [1EpiAND]), as well as steroids referred to as hormone and metabolic modulators (androsta-1,4,6-triene-3,17-dione [TRD] and its main metabolite 17ß-hydroxy-androsta-1,4,6-triene-3-one) and 6α- and 6ß-hydroxy-androst-4-ene-3,17-dione. With peak purity of target analytes being critical for IRMS analyses, a twofold high-performance liquid chromatography (HPLC)-based sample purification was employed, with all analytes being acetylated between the first and second HPLC fractionation. Using established gas chromatography/combustion/IRMS instrumentation, limits of quantification were estimated at 10 ng/ml for a 20 ml urine aliquot for all analytes, except for 1AND (20 ng/ml), and combined measurement uncertainties were estimated between 0.4‰ and 0.9‰. For proof-of-concept, samples collected after the single oral administration of a nutritional supplement containing 1AD and 1EpiAND were analyzed as well as existing excretion study urine samples obtained after the administration of 4-androstenedione and TRD. Based on the obtained results, the developed method was considered to be fit-for-purpose.

Excretion of oxidated cortisol metabolites is markedly lower than previously assumed: An analysis of urinary cortoic acids in healthy children by GC-MS.

Discovered about 50 years ago, the four C21 steroidal acids (α-)cortolic acid, ß-cortolic acid, (α­)cortolonic acid and ß-cortolonic acid present the oxidative end products of cortisol metabolism. Undergoing renal elimination, these cortoic acids have been assumed to constitute up to 25 % of total urinary cortisol metabolites. However, their analysis has been difficult, only few data has been published in adults, and this class of steroids has become practically forgotten. Since data in children are lacking and nothing is known about their metabolism during human development, we aimed at establishing a more practical analytical method and determined their urinary concentrations in a high number of healthy subjects. In our method, 5-mL-aliquots of 24-hour urine samples were subjected to solid phase extraction (C18 cartridges), followed by strong anion exchange chromatography, and formation of 2-propylester-trimethylsilylether derivatives (2-PR/TMS). The cortoic acids were quantified by targeted gas chromatography-mass spectrometry (GC-MS) using a nonpolar GC column and selected ion monitoring (SIM). Baseline separation of all cortoic acids was achieved. Calibration graphs were linear (R2 > 0.98). Variations in precision and accuracy were less than 15 %, respectively. The detection limit was 100 pg (injected) with a signal-to-noise ratio of 3. 240 specimens from 24-hour urine collections from healthy children (120 boys, 120 girls, aged 3-18 years; DONALD study) were analyzed for cortoic acids and neutral cortisol metabolites to create first reference ranges. The profile of cortoic acids was dominated by α-cortolonic acid with excretion rates up to 70 µg/d. Absolute excretion rates of cortoic acids increased with age, their total excretion rates ranged between 11.0 and 127.3 µg/d (median 45.7 µg/d), but did not show any sexual dimorphism. Since cortoic acids make up only about 1 % of total urinary cortisol metabolites, determination of neutral urinary steroids reliably allows assessment of cortisol production. However, cortoic acids might present potential biomarkers of the body's redox state.

Investigations on the in vivo metabolism of 5α-androst-2-en-17-one.

RATIONALE: The anabolic steroid 5α-androst-2-en-17-one (2EN) is sold as a prohormone and has been investigated regarding its potential as a steroidal aromatase inhibitor. The administration of 2EN was detected in a doping control sample in 2015, and investigations into its metabolism allowed for the identification and characterization of three urinary metabolites. Unfortunately, the utility of the main metabolite 2ß,3α-dihydroxy-5α-androstan-17-one for doping control purposes was hampered under routine doping control conditions due to chromatographic issues, thus warranting further studies on the metabolism of the prohibited substance. METHODS: The metabolism of 2EN was reinvestigated after oral administration of twofold-deuterated 2EN employing hydrogen isotope ratio mass spectrometry (IRMS) in combination with high-accuracy/high-resolution mass spectrometry. After a single dose of 50 mg of doubly labeled 2EN, urine samples were collected for 9 days. All samples were processed using routine doping control methods for IRMS analysis, and all detected metabolites were further characterized by mass spectrometry-based investigations. RESULTS: More than 15 different metabolites still containing the deuterium label were detected after administration. The presence of steroids exhibiting a 5ß-configuration was unexpected as the administered 2EN features a 5α-configured pharmacophore. Further investigations corroborated a significant impact of the administered 2EN on etiocholanolone and 5ß-androstanediol. Seven metabolites of 2EN not present as endogenous compounds were identified as potential candidates for routine doping controls and could be detected for up to 9 days after administration. CONCLUSIONS: The new metabolites identified in this study enable the detection of the misuse of 2EN for up to 9 days. The conversion of a 5α-steroid to urinary metabolites with 5ß-configuration has not been reported so far and should be further investigated.

Validation of steroid ratios for random urine by mass spectrometry to detect 5α-reductase deficiency in Vietnamese children.

OBJECTIVES: The 5α-reductase-type-2 deficiency (5ARD2) is a rare autosomal recessive 46,XY disorder of sex development caused by the mutated 5α-reductase type 2 (SRD5A2) gene. In this disease, defective conversion of testosterone to dihydrotestosterone leads to variable presentations of male ambiguous genitalia during fetal development. We aimed to examine characteristics of patients presenting with 5ARD2 over a 4 year period. METHODS: Random urine samples of control and patients with suspected 5ARD2 were collected and urine steroidomic metabolites were measured by Gas chromatography-mass spectrometry (GC-MS) in the period from 2017 to 2021 at National Children's Hospital, Hanoi Vietnam. 5α- to 5ß-reduced steroid metabolite ratio, 5a-tetrahydrocortisol to tetrahydrocortisol (5α-THF/THF), was reviewed by receive operator characteristics (ROC) curve analysis. Molecular testing was offered to 25 patients who were diagnosed with 5ARD2 by GC-MS urinary steroid analysis. RESULTS: Urine steroidomic profiling was conducted for 104 male controls and 25 patients between the ages of 6 months and 13 years old. Twelve of the twenty-five 5ARD2 patients agreed to undertake genetic analysis, and two mutations of the SRD5A2 gene were detected in each patient, confirming the diagnosis. All patients showed a characteristically low ratio of 5α-THF/THF. There was no overlap of 5α-THF/THF ratio values between control and 5ARD2 groups. The ROC of 5α-THF/THF ratio at 0.19 showed 100% sensitivity and 100% specificity for boys between 6 months and 13 years of age. CONCLUSIONS: Analysis of the urine steroid metabolome by GC-MS can be used to assist in the diagnosis of 5ARD2. We recommend consideration of random urine steroid analysis as a first-line test in the diagnosis of 5ARD2.