|Confounding factors and genetic polymorphism in the evaluation of individual steroid profiling.|
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|PMID: 24764553 Owner: NLM Status: In-Data-Review|
|In the fight against doping, steroid profiling is a powerful tool to detect drug misuse with endogenous anabolic androgenic steroids. To establish sensitive and reliable models, the factors influencing profiling should be recognised. We performed an extensive literature review of the multiple factors that could influence the quantitative levels and ratios of endogenous steroids in urine matrix. For a comprehensive and scientific evaluation of the urinary steroid profile, it is necessary to define the target analytes as well as testosterone metabolism. The two main confounding factors, that is, endogenous and exogenous factors, are detailed to show the complex process of quantifying the steroid profile within WADA-accredited laboratories. Technical aspects are also discussed as they could have a significant impact on the steroid profile, and thus the steroid module of the athlete biological passport (ABP). The different factors impacting the major components of the steroid profile must be understood to ensure scientifically sound interpretation through the Bayesian model of the ABP. Not only should the statistical data be considered but also the experts in the field must be consulted for successful implementation of the steroidal module.|
|Tiia Kuuranne; Martial Saugy; Norbert Baume|
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|Type: Journal Article|
|Title: British journal of sports medicine Volume: 48 ISSN: 1473-0480 ISO Abbreviation: Br J Sports Med Publication Date: 2014 May|
|Created Date: 2014-04-25 Completed Date: - Revised Date: -|
Medline Journal Info:
|Nlm Unique ID: 0432520 Medline TA: Br J Sports Med Country: England|
|Languages: eng Pagination: 848-55 Citation Subset: IM|
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Journal ID (nlm-ta): Br J Sports Med
Journal ID (iso-abbrev): Br J Sports Med
Journal ID (hwp): bjsports
Journal ID (publisher-id): bjsm
Publisher: BMJ Publishing Group, BMA House, Tavistock Square, London, WC1H 9JR
Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions
Accepted Day: 4 Month: 3 Year: 2014
Print publication date: Month: 5 Year: 2014
Volume: 48 Issue: 10
First Page: 848 Last Page: 855
PubMed Id: 24764553
Publisher Id: bjsports-2014-093510
|Confounding factors and genetic polymorphism in the evaluation of individual steroid profiling|
1Doping Control Laboratory, United Medix Laboratories Ltd.,Helsinki, Finland
2Swiss Laboratory for Doping Analyses, University Center of Legal Medicine, Geneva and Lausanne, Epalinges, Switzerland
|Correspondence to Dr Norbert Baume, Swiss Laboratory for Doping Analyses, University Center of Legal Medicine, Geneva and Lausanne, Chemin des Croisettes 22, Epalinges 1066, Switzerland; email@example.com
Since the advent of the fight against doping in sports in the 1970s, detection of the prohibited substances has seen many improvements. Targeted analyses using technologies such as gas chromatography coupled to mass spectrometry (GC-MS) have been the golden standard for many years.1–4 Liquid chromatography coupled to MS (LC-MS) allowed for much easier and straightforward sample preparation and shortened the turnaround time to complete the analyses.5 Constant development in the MS instrumentation has enabled a continuous increase of performance in terms of sensitivity as well as specificity.6
Whereas exogenous substances can be identified by qualitative analysis of appropriate target compounds, the situation is more complex in case of endogenous performance-enhancing substances, such as testosterone (T), which are not only available as pharmaceutical products, but are also produced by human body.7 In these situations, the World Anti-Doping Agency (WADA)-accredited laboratories should be capable of distinguishing between the doping use and clinical/pathological conditions to protect the integrity of clean sport by efficient control, and also to guarantee the fair processes of each individual athlete.
Anabolic steroids are mainly excreted through the urinary route, requiring modifications of their hydrophobic chemical structures. Phase I and phase II metabolic reactions are responsible for, respectively, functionalisation and addition of conjugates (ie, glucuronides or sulfates)8–11 to steroids, thereby increasing their hydrophilicity and allowing their dissolution and elimination in urine mixture. Since steroid conjugates analysis is not compatible with GC-MS, the only analytical technique recognised by WADA for endogenous steroids quantification in urine,12 deconjugation of the conjugated moiety by enzymatic hydrolysis (β-glucuronidase) is a crucial step during sample preparation and prior to GC-MS measurement.13, 14
Steroid profile consists of the quantification of several glucuroconjugated and free urinary compounds linked to T and its metabolism (figure 1), and is well known as a potent tool to uncover doping with endogenous anabolic steroids.13, 15–18 However, due to a wide interindividual variability in absolute endogenous steroid concentrations originating from various factors, it has been proven that population-based reference values, which were considered for years by every protagonist in the fight against doping, are not always sensitive enough to reveal the potential misuse of anabolic androgenic steroids at an individual level.19 For these reasons, there is an obvious need of individual monitoring of the steroid profile to allow a fair evaluation.
The in-competition and out-of-competition testing programmes are the best strategies to screen and confirm adverse analytical findings of exogenous and endogenous steroids. From the basis of these routine analyses, the WADA-accredited laboratories provide harmonised and robust analytical data for steroid profile. Recently, a new technical document TD2014EAAS12 has been edited to ensure this harmonisation and is in force from January 2014. A detailed description of selected aspects of TD2014EAAS is given later in this review. The application of these rules should enable a suitable application of steroid module of the athlete biological passport (ABP) and the assessment of steroid profile using the adaptive model.
Before the steroidal module, ABP has been developed using a Bayesian approach to deter blood doping based on haematological data obtained in whole blood sample.20, 21 The haematological module of the ABP has been implemented in 2008 by certain international sport federations and since then this indirect methodology has resulted in sanctioning of numerous athletes for anti-doping rule violation. This achievement stimulated the expansion of the ABP to establish the intraindividual reference ranges to monitor the steroid profile of an athlete22 (figure 2). Historically, anti-doping laboratories and sport authorities detect misuse of endogenous steroids based on the ratio between T and its 17α-epimer, epitestosterone (E; T/E ratio).16 A threshold based on previous anti-doping data and population studies was first set at 6 by the I O C in 198323–26 and later lowered to 427 to discriminate between normal and abnormal values. Urine samples showing a T/E ratio above the threshold were then submitted to further analyses such as gas chromatography-combustion-isotope ratio mass spectrometry to evaluate the steroid profile and the endogenous or exogenous origin of the target compounds.28 The sensitivity of the T/E ratio approach based on population-based reference ranges has been questioned since 1994.25 At that time, individual reference ranges, instead of population-based references, have already been proposed and used in steroid profiling. By the work of Sottas et al, a new and very effective mathematical tool came into this field which allowed an optimised evaluation of the longitudinal data. This mathematical model is, currently, one of the basic tools of the ABP.19
The aim of this paper is to summarise and discuss the main factors influencing the analytical processes, steroid profiling and interpretation of the obtained data that will be interpreted through the ABP steroidal module.
In 2008, the ABP has been implemented for haematological parameters based on a Bayesian statistical model that allows monitoring of intraindividual fluctuations of blood doping markers.29 Knowing that every athlete has his/her own metabolism and responds differently after any drug misuse, this profiling approach is relevant for the results management in the fight against doping. Even if the follow-up of secondary markers indicating a drug intake or a manipulation to increase the performance skills is becoming essential, direct detection of prohibited substances is still necessary to prevent athlete from cheating, and the biological passport profile may assist in targeting the doping control analysis to particular additional tests, such as GC-C-IRMS.
As the urinary steroid profile, especially the T/E ratio, is well known as being a stable marker within an individual,12, 24 the integration of the adaptive steroidal module was a natural evolution of the ABP.30 This module aims to identify endogenous anabolic androgenic steroids when administered exogenously and other anabolic agents, such as selective androgen receptor modulators categorised under section S1 of the Prohibited List.31 Six markers are considered within the steroidal module which are T, E, androsterone, etiocholanolone, 5α-androstane-3α,17β-diol (5α-diol) and 5β-androstane-3α,17β-diol (5β-diol), although Van Renterghem et al32 proposed additional compounds to be integrated in the ABP.
As described in the recently published ABP Operating Guidelines and Compilation of Required Elements, data collection and administration requires specific partners such as anti-doping organisations (ADOs), Athlete Passport Management Unit (APMU), WADA-accredited laboratories, expert panel and WADA.33 Each of these entities has its own responsibilities to guarantee reliability and credibility of the ABP programme.
Briefly, ADOs are in charge to perform an appropriate and intelligent follow-up of their athletes according to the International Standard for Testing (IST).34 In the process they should also consider the recommendations of the APMUs which are responsible of the passports real-time management through the evaluation of the data of a single sample with respect to the profile generated by the adaptive model in Anti-Doping Administration & Management System (ADAMS). In addition, APMUs make connections with the expert panels that are necessary to bring out any pathology or confounding factors that could impact analytical results provided by the laboratories which shall adhere to the WADA technical documents TD2014BAR and TD2014EAAS for haematological and steroidal module, respectively. Moreover, expert scientists may also request additional testing for a specific athlete to collect further indications of pathologies or to strengthen an atypical passport finding (ATPF).
Altogether, close cooperation between testing authorities, sample collection authorities and laboratories is mandatory to ensure a prompt transfer of information and adequate timing of testing and to allow the ABP programme to be efficient.22
Various factors are capable of influencing either the quantification of the urinary steroid profile or its interpretation.35, 36 The endogenous or exogenous origin of those issues allows for their classification into two main categories, as shown in figure 3. Technical aspects related to the specific application of the anti-doping regulations or to the steroid analytical measurements in urine are also depicted in figure 3, and will be discussed further in this review.
The ABP aims at monitoring of an individual athlete with respect to his/her own, long-term steroid profile. Interesting parameters with this respect are the general endogenous factors which, on one hand, set the baseline of an individual, and, on the other hand, may lead to ‘natural’ variation of the profile within a long period of time. Among these factors are, for example, age and gender of the athlete. A major role is played also by ethnicity, but as these interindividual differences are linked essentially to genetic polymorphism, these properties are discussed in connection to androgen metabolism. As a general remark for the interpretation of the results originating before year 2005, it should be notified that the critical value of T/E for doping control purposes was >6, instead of >4.
Raynaud et al37 carried out a study of 141 normal male participants (aged 8–26 years), categorised the population into five groups based on the development stages according to Tanner's scale and compared the excretion profiles of T and E between different age groups. According to their report, excretion of both markers increased significantly during development and correlated highly (p<0.001) with age. However, a significant difference was observed between the increase of T and E relative to age, T excretion increasing much faster than E and indicating the potential instability of T/E during puberty. In another study, originating from approximately same time, Dehennin et al38 studied a population of 140 male participants (aged 13–20 years) with respect to urinary excretion of several endogenous steroids and luteinising hormone (LH). Although they concluded that the increase in excretion rates of glucuronide-conjugated T and E correlated with pubertal development, the result was somewhat contrary to earlier one with respect to T/E, where the observed differences were not significant. In this study, ratio of T-glucuronide to LH, which has been proposed as additional information on T misuse,39, 40 increased throughout puberty. An independent study from Schweizer et al41 with 100 male participants (aged 10–17) supports the results of Dehennin et al, as their study showed insignificant change in T/E between different stages, although higher instability of the ratio was associated to prepubertal stages. In a group of adolescent girls (aged 6–17, n=256), the same research group observed a decreasing T/E ratio during development, most obviously due to larger relative increase in E excretion. The results were similar between exercising and control group of participants.42
Interindividual variation in genetics, in enzyme distribution and, consequently, in drug metabolism are discussed later in this review in detail. Briefly, two main families of enzymes contributing the drug metabolism in humans are cytochrome P450 (CYP450), which is responsible for phase I reactions, and uridine diphosphate glucuronosyltransferase (UGT) enzymes, which catalyse the phase II conjugation reaction with glucuronic acid. Gender-dependent differences in enzyme activity have been demonstrated for several CYP isoenzymes and for UGTs, supporting the possibility of quantitative differences between female and male athletes. However, the genes for CYP and UGT proteins are not linked to X-chromosome, and, thus, the prevalence of poor metabolisers should not be expected to be different between genders.43
Periodical variations in hormones concentrations are well established in different species and matrices.45 In humans, T is also subjected to these fluctuations, as is previously shown in serum,46 saliva47 and urine.48, 49 This daily, monthly and even yearly based variability of steroid hormones concentrations should not significantly impact the longitudinal follow-up of participants, and is included within the normal intraindividual variation of the steroid profile components.
Regarding the urinary steroid profile and physical exercise there are studies concluding differences between sedentary and exercising individuals,50 and that the physical activity may influence the elimination of androgens due to changes in sex hormone binding globulin (SHBG).51 A group of trained female athletes was investigated by Bricout et al with respect to urinary steroid profiles during menstrual cycle and compared with non-athlete (sedentary) group. T and E were measured from glucuronide-conjugated fraction by radioimmunoassay (RIA), and based on this study, the T/E remained stable between the follicular phase and luteal phase of menstrual cycle within athlete (0.66±0.05 vs 0.69±0.33) and non-athlete (0.72±0.26 vs 0.67±0.31) groups. As a conclusion, it was stated that although physical training may have an effect on androgen metabolism, active sportswomen can be considered as members of normal population as long as there are no signs of secondary amenorrhoea induced by physical activity.8 Regarding male participants, similar results were previously published by Donike et al,25 who showed that high workload during the Tour de France does not influence the T/E ratio in top-level athletes.
During pregnancy, however, female athletes encounter much more dramatic changes. Controlled longitudinal studies of steroid profile during pregnancy are scarce, but according to available data, significant alterations occur not only in the production of progesterone and oestriol, but also in androgen concentrations. For the status of the steroid profile and its interpretation, the most significant factors are pregnandiol (PD) and T itself. According to Mareck-Engleke et al,9 the PD concentration may increase up to 10–100 fold (to 10 000 ng/mL) from the baseline levels during the early pregnancy, and despite being quite theoretical in performance-sport context, the levels of 20 000 ng/mL concentration can be reached just before delivery. In their recent work, Fabregat et al10 conducted a longitudinal study in three pregnant women, and focused on cysteine-conjugated androgens and glucuronide-conjugated androgens and oestrogens during different trimesters of pregnancy. From a steroid profile perspective, there was a significant increase in urinary oestrogen levels and moderate decrease in urinary androgen concentration, and thus alteration in general profiles due to pregnancy. Interesting results were obtained for E glucuronide concentrations, which were elevated during the first trimester, and thus a feature to take into account in interpreting of T/E in steroid profiles of female athletes. The results of this study were also well in accordance with the earlier ones describing the formation of norandrosterone, a nandrolone metabolite, during pregnancy.11, 52
Androgens are an essential part of endocrinological homeostasis in human body and their dual effects are associated mainly to masculinisation (androgenic effects) and protein synthesis (anabolic effects). There are several mechanisms and functions which mediate the androgen action, control the transport and binding of T and other androgens or activate the expression of androgen-responsive genes. In human genome, two or more variants can be encountered for a particular DNA sequence. In its simplest form, this natural variation, polymorphism, involves not only a single nucleotide (SNP), but also longer DNA stretches can be involved. The outcome of the complex network of these bioprocesses and interindividual as well as interethnic variations within them leads to a steroid profile with an individual baseline of endogenous steroids. Massive amounts of research results are available on the clinical and pathological relevance of androgens and the factors contributing to the phenotype of an individual. For example, low serum T concentration is associated to several pathological conditions, for example, cardiovascular morbidity, type 2 diabetes and increased risk of mortality. The studies indicate strong heritability of serum T levels and clinical studies have focused on T as a biomarker of male health status and on the effects of genetic variants on serum T concentrations. Although sports and doping control involve only minor fraction of population, the atypical patterns, anomalies and pathological conditions are factors to keep in mind when evaluating individual athlete profiles.
The earlier mentioned SHBG is the most important carrier protein for androgens. The dimeric protein consists of two identical peptide chains of 370 amino acids. SHBG synthesis is stimulated by oestrogen in the liver and decreased by androgens and anabolic steroids. Together with serum albumin (binding 40–50% of T), SHBG (binding ≈50–60% of T) forms circulating reservoir of T,53 balances the concentration of free fraction and decreases the rate of metabolism in the liver. With respect to genetic variation, studies have revealed SNP which alters SHBG binding affinity for T.54 Parallel to carrier proteins, there are transporter proteins which are involved in the absorption, distribution and elimination of drugs by participating to permeation of the drugs into cells and access of the drugs to their targets.55 Genetic polymorphism has also been shown to occur at this phase of bioprocesses, of which an example is the organic ion transporter OATP1B3 (encoded by SLCO1B3 gene) and its two polymorphic variants which transport T with varying efficiencies.56
The actions of anabolic androgenic steroids are executed via various mechanisms. At androgen receptor (AR) level, these mechanisms include indirect modulation of expression by intracellular metabolism and direct effect on the AR topology, which leads to subsequent interaction with coactivators and transcriptional activity.57 Human AR is a nuclear transcription factor, belongs to the nuclear receptor superfamily58 and mediates male sexual differentiation as well as the development and maintenance of sexual characteristics. The molecular structure of AR is well characterised and comprises polymorphic N-terminal domain, a central well-conserved DNA-binding domain and a C-terminal ligand-binding domain.59 According to the literature, more than 300 mutations in the X linked AR gene result in androgen-insensitivity syndrome,60 and most of the mutations in the ligand-binding domain disrupt binding of the natural ligands dihydrotestosterone (DHT) and T.61
Androgens may undergo metabolic reactions prior to their physiological effect, that is, as part of their biosynthetic pathways. As an example, enzymes CYP11A1 and CYP17 from the CYP450 family participate in the modification of cholesterol to yield T,62 which is then converted to biologically more active DHT by steroid 5α-reductase type 2 enzyme (SRD5A2) in the prostate.63, 64 For rational targeting of analysis and appropriate result interpretation in doping control and for ABP purposes, however, the bioprocesses concerning metabolism and urinary excretion, and interindividual variability within these processes, are of major importance. Owing to highly non-polar nature of anabolic steroids, the parent compounds are often converted by metabolising reactions prior to their elimination and excretion in urine. A rough division into two main categories can be made, namely phase I and phase II metabolic reactions. These processes typically aim at termination of pharmacological activity, modification of steroid structure into less potent, more polar and better water-soluble form, and thus an enhanced excretion of steroids into urine. In human body, several organs are involved in metabolic processes, the liver being the main site of the reactions.
Phase I reactions (ie, functionalisation) of androgens include hydroxylation, oxidation and reduction,65 and involve CYP450 enzymes, dehydrogenases (eg, type 5 17β-hydroxysteroid dehydrogenase (AKR1C3)66) and 5α-reductases and 5β-reductases,67, 68 which catalyse the reactions. In general, CYP450 family plays a significant role in metabolism and genetic variability in humans, as 70–80% of all drugs are metabolised via isoenzymes of families CYP1, 2 and 3, and expression of each CYP is influenced by a unique combination of factors including genetic polymorphisms. From the putative 57 functional isoenzymes, the highest expressed forms in the liver are 3A4, 2C9, 2C8, 2E1 and 1A2,69 from which 3A4 contributes to 6β-hydroxylation of T and shows ethnicity-related polymorphism.70, 71 Furthermore, in the metabolism of T, the CYP17 gene promoter polymorphism has been suggested to explain naturally elevated T/E ratios due to involvement in catalysis of 5-androstene-3β,17α-diol, an important precursor of E.72
Phase II reactions, conjugations, play a remarkable role in the metabolism of androgens, as in an average, the unconjugated fraction represents only less than 3% of the total amount of urinary excreted compounds.73 Glucuronidation, that is, conjugation with glucuronic acid, is the main conjugation reaction of androgens in humans (figure 4A). Reaction is catalysed by UGTs, which are a family of membrane-bound enzymes in the endoplasmic reticulum. Human genome contains four UGT families,74 from which UGT1 (9 members) and UGT2 (10 members), especially the members of subfamily UGT2B, are the most significant genomes in glucuronidation of androgens.75–78 With regard to UGT isoenzymes, polymorphism has been reported for several genes, but in doping control context, a deletion polymorphism in the gene coding UGT2B17 is of profound significance. It is strongly associated with urinary levels of T glucuronide and thus with T/E ratio, and interethnic variation has been observed in the prevalence of gene deletion.79–82
Sulfotransferase enzymes (SULT) transfer a sulfo moiety from a co-substrate (3'-phosphoadenosine-5'-phosphosulfate (PAPS)) to the substrate in sulfoconjugation (figure 4B). A total of 13 human cytosolic SULT genes have been identified until now, and they are categorised into families SULT1, SULT 2, SULT4 and SULT6.83 Although glucuronidation is the main conjugation pathway of endogenous androgens in humans, substrates with 3β-hydroxy structure (eg, dehydroepiandrosterone) are sulfonated to high extent and the activity has been reported for SULT2B1,84 but especially with SULT2A1, which is polymorphic (SNPs as well as copy number variation) and for which the allelic variants are associated with decreased activity and expression.85, 86
Human metabolism is subjected to significant variations caused by multiple external factors. With regard to the urinary steroid profiling, environmental conditions, drug administration and diet have been identified as sources of alteration of steroids metabolism and excretion from the body.
From the athlete and doping control perspective, all personal properties and genetic polymorphism involved at each level have an influence on the formation of ‘normal profile’ of an individual and justify the shift from population-based reference values to the direction of the ABP. However, the phenotype of an individual is also regulated strongly by the exogenous factors, which may temporarily interfere with the homeostasis and the metabolic routes of endogenous steroids. The effect of various pharmaceutical preparations (eg, endogenous and exogenous steroids, oral contraceptives, human chorionic gonadotropin, LH and glucocorticosteroids) on T/E and steroid profile is extensively summarised earlier, especially by Mareck et al36 and also elsewhere,14, 87–91 emphasising the alterations in androgen synthesis arising from the feedback received via hypothalamic–pituitary axis.
Another category of exogenous factors that define the steroid profile includes compounds affecting the metabolism and elimination of androgens. In general, the endogenous compounds, drugs and other xenobiotics undergo the same metabolic pathways, and thus compete and interfere (either by enzyme inhibition or induction) with each other. Taking into account the reactions connected to androgen metabolism, the most significant ones are those involving 5α-reductases. Consequently, 5α-reductase inhibitors, such as finasteride, which are aimed at the treatment of prostatic hyperplasia and which influence mainly the type 2 5α-reductase present in prostate, suppress the formation of DHT from T,92, 93 and thus interfere with the interpretation of the ABP profile. Analogous to this mechanism of effects, type 5 17β-hydroxysteroid dehydrogenase (AKR1C3) catalyses the reduction of 4-androstene-3,17-dione to T, and the inhibition of this pathway would be desired, for example, for the treatment of hormone-dependent and hormone-independent cancers. Several compounds, such as non-steroidal anti-inflammatory drugs (NSAIDs), steroid hormone analogues and benzodiazepines, have been explored as inhibitors of AKR1C366 and could impact the measured T concentration.
For conjugation reactions, inhibition properties of NSAIDs have been demonstrated for steroid glucuronidation in an in vitro assay,94 but the observations were not confirmed by in vivo experiments.95 One particular therapeutic drug, ketoconazole, should be mentioned due to its unique property to inhibit T synthesis,96, 97 as well as the binding of DHT to SHBG,98 and to exhibit inhibition of CYP3A4 system.99 As all these features may have an implication to steroid profile, anti-doping laboratories report the presence of ketoconazole as part of confirmation analysis.
Aside the investigated physiological effects of alcohol on physical performance skills100 and the widespread habit among top level athletes,101 ethanol could have an effect on metabolic pathways linked to steroids biotransformation,102–104 and this may be mainly due to a competitive inhibition of oxidative enzymes such as 17β-hydroxysteroid dehydrogenases (17HSD) and UGTs (ie, UGT2B17) involved in alcohol and steroid metabolisms. The main observed effects of ethanol on steroid profile are the decrease in androsterone and etiocholanolone concentrations up to 10% of the basal levels and less significant increase in T excretion resulting in a slight rise of T/E ratio.105, 106 Urinary steroid concentrations in women are more sensitive to these modifications caused by ethanol consumption,103, 107 and obviously the dose and the frequency of alcohol abuse are key factors that determine the amplitude of alterations in metabolism.
Since quantification of urinary steroids is influenced by the presence of alcohol in the body, monitoring of alcohol markers is necessary for anti-doping laboratories. Ethylglucuronide (EtG) and ethylsulfate are widely used parameters in clinical and forensic toxicology to control ethanol consumption or abstinence.108–111 In 2011, Thieme et al112 published a study showing that EtG is the most suitable quantitative marker of ethanol consumption, allowing the evaluation of steroid profiling alteration. The question of the threshold is still remaining and various studies are in progress to establish a shared EtG concentration level at which alcohol could impact significantly the steroid concentrations.
In case of abnormally high T/E ratio due to ethanol drinking, additional analysis with GC-C-IRMS would prove that no exogenous T was misused by the athlete, showing the usefulness of this technique as described further in this review. However, some precautions need to be taken in the interpretation of GC-C-IRMS results as few studies provided evidence that diet components7 and geographical origin113 may affect delta values of the investigated steroid compounds.
Recently, Jenkinson et al114 reported that in vitro green and white teas suppress UGT2B17, a key enzyme for the glucuronidation of T (figure 4A). The inhibition of this pathway would increase free T level in human tissues and a potential doping in optimising free T. As for the NSAIDs, the influence of green tea on T metabolism, as shown in in vitro experiments, has most probably no effect on the urinary steroid profile. Furthermore, the publication of these results were appeased by anti-doping experts saying that the required amount of administered tea for a significant change in steroids concentrations is considerable and that a human interpretation of steroid profiles is always performed in any suspicious case.
Although it is known for many years that bacteria and microorganisms also alter steroid profiles,115 peer-reviewed papers investigating the ability of microbiological contamination to modify the urinary steroid profile were published only recently.36, 116–119 During the diuresis and storage in the bladder, urine is germ free, but when leaving the human body or subjected to bacterial exposure, enzyme activity linked to microorganisms may lead to a rise or a drop of endogenous steroid concentrations or even to the hydrolysis of conjugated T metabolites. 5α-androstanedione and 5β-androstanedione, originating from a bacterial transformation of androsterone glucuronide and etiocholanolone glucuronide, respectively, are markers that WADA-accredited laboratories screen and quantify in urine to reveal an adulteration of the biological samples with microorganisms.120, 121 Another marker of bacterial contamination is an increase of free T concentrations, which may lead to elevated T/E ratio.36
Besides modifications of endogenous steroid profiles, other anabolic androgenic steroids such as 19-nortestosterone (nandrolone) and boldenone could be produced by microorganisms in urine matrix.44, 118, 122, 123 Identification of microorganisms that could be found in contaminated urine among the huge diversity of bacteria is possible through a variety of accurate methods such as sensory observations, assessing turbidity, presence of precipitate and smell and measurement of pH. In 2010, Ojanperä et al124 published an approach based on PCR and 16S rRNA gene sequencing for microbes identification, and thus potential steroid profiles adulteration.
Methods using matrix-assisted laser desorption ionisation-time of flight MS has recently been developed as a very effective tools to identify bacteria in biological fluids.125–127 This approach is of valuable interest in clinical microbiology but is not easily adapted to the prevailing technologies in the anti-doping laboratories.
Despite the efficiency of these techniques, identification and quantification of microbial degradation products such as 5α-androstanedione and 5β-androstanedione is still the preferred approach advocated by WADA in TD2014EAAS.
Factors that are not dependent on technical aspects and linked to the urinary steroid profile data acquisition have been well discussed above. Nevertheless, analytical techniques that are used in WADA-accredited laboratories should also be considered when a longitudinal steroid profiles follow-up is evaluated and interpreted by anti-doping stakeholders.
Traditionally, anabolic androgenic steroids and their representative metabolites have been analysed by GC-MS-based methods, and the analysis of exogenous steroids has been qualitative of origin. The analysis of ‘total’ (ie, free and glucuronide-conjugated) fraction of steroids is indirect, since glucuronide-conjugated analytes are enzymatically hydrolysed before the next step of the procedure, which is typically liquid–liquid extraction (LLE) in alkaline environment, for example, tert-butyl methyl ether.36 For GC separation, the analytes are converted to trimethylsilyl (TMS) derivatives and in order to accomplish this effectively also to ketosteroids, the reaction mixture includes components which allow for in situ formation of trimethyl iodosilane.128 Along the developments in instrument technologies, the routine GC methods apply also tandem mass spectrometric (MS/MS) approaches to steroid analysis, which provide improved selectivity and often also higher sensitivity for the detection of analytes.
In the new situation where quantitative data are based on initial testing procedure (ITP) and are originating from different anti-doping laboratories, harmonised methodologies and uniform reporting are prerequisites for the steroid profiling. For that purpose, WADA has recently compiled a new technical document, TD2014EAAS, which is a mandatory operational procedure for laboratories to support the steroid profile quantification of the steroidal module of the ABP.12 The document gives an introduction to the steroid profiling and detailed description on the requirements for ITP and confirmation analysis.
All critical steps of the analytical procedure and monitoring of their success are covered by the document. Issues connected to sample matrix include the adjustment of the sample aliquot volume in case of diluted samples or based on the gender of the athlete with the driving force to be able to provide a reliable steroid profile for each urine sample. At later stages of the process, the laboratory should also monitor the sample integrity, for example, for the presence of microbial degradation. Most often the analytical procedure for steroid profile parameters involves hydrolysis of glucuronide-conjugated steroids, extraction of free steroids and deliberated steroid aglycons, derivatisation and GC-MS or GC-MS/MS analysis. In the method characteristics, the type of glucuronidase enzyme is specified as purified preparation for Escherichia coli to avoid by-products during the hydrolysis, the efficiency of which should also be controlled. The overall analytical process and the critical factors influencing the measurement and result interpretation of steroid profile are extensively reviewed earlier by Mareck et al,36 mentioning amineptine as an example of a drug which may inhibit β-glucuronidase activity, and, furthermore, one of its metabolites yield in MS fragmentation which may interfere the screening of androsterone and etiocholanolone. Other specific substances and factors that have been reported to affect (mainly to interfere with) the hydrolysis of steroid glucuronides, and to offer some references to the corresponding literature, include ascorbic acid,128 aspartic acid, malic acid and high concentrations of salicylic acid,129 chlorinated hydroquinones and benzoquinones,130 as well as glucosaccharic acid derivatives (eg, saccharic acid 1,4-lactone), which have been reported to inhibit β-glucuronidase activity under in vitro conditions.131
According to the technical document and GC separation, formation of TMS derivatives is required and the completeness of derivatisation step should be verified by monitoring mono-O-TMS and di-O-TMS derivative of androsterone. The document sets quality requirements with respect to instrument operation and data collection by instructing the verification of the stability of calibration standards, incorporation of quality control sample with each analytical sequence and calculation of the T/E ratio, as well as by setting the requirements for the sensitivity (limits of quantitation) and quantitative performance (relative standard combined uncertainty, uc(%)) of the method. In confirmation analysis, the analytical approach incorporates also information from GC-C-IRMS analysis (see below) and the results, quantitation and identification of the relevant steroid profile marker(s) and/or T/E ratio.
For the result interpretation, the laboratories should also monitor the sample for the presence of 5α-reductase inhibitors (eg, finasteride), which are not prohibited substances but may alter the steroid profile due to their mechanism of action. In confirmation analysis, the additional tests are applied to determine the presence of ethanol metabolites, ketoconazole or signs of microbial degradation, to reveal the potential external interfering factors before issuing the results into ADAMS and adaptive model purposes.
IRMS is a powerful device that allows the source determination of the investigated compounds based on variations of stable isotopes. IRMS has many applications such as pharmacology, food research, archaeology, environment sciences and forensic science.132, 133 Doping is also a domain in which IRMS can provide informative data as one of the main challenges for T doping detection is to establish the origin of this hormone as it could be found either produced endogenously by the body or by misuse through an exogenous administration. The first application in doping was published in 1994 by Becchi et al,28 who employed GC coupled to IRMS for the determination of carbon isotope ratio of T extracted from human urine. This significant work was then followed by numerous studies that explored doping detection based on the carbon isotopic ratio of endogenous hormones linked to T metabolism.7, 14, 134–147 Recently, some T preparations were reported as having a similar carbon isotopic ratio compared with T produced endogenously,148, 149 pushing scientists to find alternative methods based on hydrogen and deuterium ratio to discern naturally produced T from synthetic formulations.150–152 Since its introduction in the anti-doping laboratories, GC-C-IRMS has provided robust and reliable data to convict many athletes for T misuse in sports. Until now, GC-C-IRMS analysis was performed whenever a urine sample showed a T/E ratio above the threshold and was considered as the ultimate proof of doping if the carbon isotopic ratio of T or its metabolites was significantly different from one of the defined endogenous reference compounds.27 New technical document TD2014EAAS has been effective since the beginning of 2014 and according to this document, GC-C-IRMS analysis shall be applied on suspicious sample only in confirmation step after the evaluation of the steroid profile through the adaptive model of the ABP. In the case where the adaptive model cannot be used, IRMS shall be performed in specific conditions such as a T/E ratio greater than 4 or a T or E concentration (adjusted for the specific gravity) greater than 200 ng/mL in males or greater than 50 ng/mL in females.12 More details about IRMS analyses and interpretation in WADA-accredited laboratories are expected in the upcoming new technical document dedicating to this analytical technique. In summary, GC-C-IRMS represents a complementary but necessary information source for the steroid profile evaluation.
While GC-MS (and recently GC-MS/MS) has been the analytical reference technique for steroid quantification in urine matrix for many years, some alternative approaches have been considered. First, the use of immunological tests was investigated,153–155 as the main advantages of this method is the possibility of automated processes (simple and rapid), the lower costs and the routine ease-of-use for non-scientific staff. Although ELISA assays have shown good total specificity and appropriate sensitivity for T, the main drawbacks of this biochemical approach are the cross-reactivity that could lead to wrong estimation of T concentration and the restricted application to a single compound (eg, T) which is not compatible with the intention to establish a profile with several steroids. In addition to these limitations for steroid quantification and identification, radioimmunoassay (RIA) tests in urine present other drawbacks such as non-availability of RIA assay kits in the market for urine steroid detection and the matrix effect being more significant for RIA kits than for ELISA kits.156 Considering these disadvantages, anti-doping laboratories never deemed immunoassays as a useful tool to establish a steroid profile.
The determination of steroid concentrations by GC-MS technique requires essential steps prior to analysing the urine samples. Solid phase extraction (SPE) and/or LLE, hydrolysis, evaporation and derivatisation are necessary to obtain robust and reliable data but could also be a source of variability and inaccuracy. Measuring the steroid compounds by LC-MS instruments could overtake these steps. The first attempts were made about 30 years ago to detect steroids produced in rat liver microsomes.157, 158 More recently, some authors have published LC-MS methods to quantify T and E in human urine,159 but hydrolysis and extraction steps were still required to detect the free fraction of the steroids. In the meantime, Bowers5 developed a LC-MS method for the quantification of T and E conjugates (sulfate and glucuronide) which stimulated many other authors to investigate the LC-MS detection of the steroids conjugated fraction.160–163 Whereas quantification of steroids conjugates by LC-MS was first published in 1996 by Bowers and Sanaullah,164 in 2011, Badoud et al165 presented a method based on a high-resolution MS strategy for the quantification of 11 steroids conjugates after a simple SPE step. Two years later, the same group increased the number of targeted analytes to 13 and applied their quantification method on samples collected after T administration.166 A comparison was made between data obtained with traditional GC-MS and LC-MS techniques, and as a conclusion, a good correlation was depicted showing the possibility of measuring urinary steroid based on conjugated compounds and by LC-MS technique.
Despite these promising LC-MS results, this analytical approach is not encouraged in the recently published technical document, but initial testing analysis and confirmation should be based on GC separation.
The establishment of urinary steroid profile through analytical quantification of T and its related compounds has been proven to be a reliable and efficient tool for endogenous anabolic androgenic steroids misuse detection. An additional and significant step in the steroid profile application in the fight against doping is the integration of the steroidal module within the ABP. Although the steroid profile components are quite stable against physical exercise, menstrual cycle or biological rhythms (circadian or annual), many exogenous and endogenous influencing parameters exist. These confounding factors could not be monitored only by the ABP steroidal module but need scientific expertise to be evaluated and to avoid any sanction of athlete simply based on the statistical and mechanical approach of steroid profile monitoring.
Essential part of the steroid profile is a representative number of samples, well-planned testing strategies and significant effort from sample collection authorities, as well as smooth cooperation between ADOs. Sample collection and transportation conditions should be organised in an appropriate manner to preserve the sample integrity, and the laboratories should be harmonised in analytical methodologies to provide reliable and comparable results. WADA-accredited laboratories should not only focus on endogenous steroids quantification but also on the detection of exogenous factors such as drugs interfering with metabolic pathways or adulteration markers. Genetics factors are much more sensitive considering the ethical issues.
As the final stage, the passport management units as well as the scientific expert panels should be well trained and experienced in the interpretation of analytical data and profiles in order to distinguish between ATPFs and pathological or clinical conditions which may alter the individual passport results.
In summary, a strong collaboration of every anti-doping partner, from testing strategy to result interpretation, is mandatory to optimise and to enhance the tools allowing the detection of doping with T and related compounds.
Competing interests: None.
Provenance and peer review: Not commissioned; externally peer reviewed.
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Keywords: Doping, Steroids.
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