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Doping Journal 5, 3 (15 December 2008)
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original research:
First steps towards a new screening method for anabolic androgenic agents in human hair follicle

Martina Reiter1, Sybille Lüderwald2, Michael W. Pfaffl1, Heinrich H.D. Meyer1

1 Physiology Weihenstephan, Technische Universität München, Weihenstephaner Berg 3, 85354 Freising, Germany,
2 Institute of Forensic Medicine, Universität München, Nussbaumstr. 26, 80336 München, Germany

Martina Reiter, Physiology Weihenstephan, TU München, Weihenstephaner Berg 3, 85354 Freising, martina.reiter@wzw.tum.de, Tel.:+498161713867, Fax:+498161714204
email: martina.reiter@wzw.tum.de

Submitted: 27 May 2008 | Accepted: 11 November 2008 | Published online: 15 Decembery, 2008  | Article readership

Copyright © 2008 by Martina Reiter and colleagues, licensee The Doping Journal

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ABSTRACT
INTRODUCTION
METHODS
RESULTS
TABLE 1

ABSTRACT

The idea of this feasibility study in hair follicle was to test a possible new way of detecting anabolic steroids, based on biomarker measurement for different anabolic agents. With specific biomarker expression patterns it should be possible to foster the existing doping analysis methods. For the experiment the hair follicle was chosen as suitable tissue.
The first aim was to develop a method for RNA isolation out of plucked hair follicle samples. In a first study samples from untreated women and men were taken to find gender specific differences and in a second study also samples from weight lifters under doping conditions were compared with a control group. As biomarkers, different androgen dependent target genes were analyzed via qRT-PCR. Hair follicle cells from the root sheath could be taken by plucking. In the first study no significant gender dependent differences could be detected. In the second study a down-regulation of the glucocorticoid receptor could be calculated and fibroblast growth factor 7 was only expressed in treated samples. These results show first promising differences between treated and untreated samples.

INTRODUCTION

The various doping scandals of the cyclist, especially during the “Tour de France 2007” clearly showed that doping is a big topic in competitive sport and doping controls need to be more universal in detecting drug misuse. Beside doping methods that increase the oxygen transport capacity in blood, especially the use of anabolic androgenic agents (AAS) is very popular. These substances are supposed to increase muscle mass via nitrogen retention resulting in a better performance [1, 2]. The International Olympic Committee (IOC) has already banned the use of AAS by athletes in 1974 and methods for detecting and identifying these substances are developed continuously. Most of them are mass-spectrometry based, but there are still problems with the doping control procedure. Tissues like urine, blood and hair are taken for these analyses. They are easy to be collected and include the drugs or its metabolites. Taking the existing analysis methods the question how to screen for unknown designer drugs and its metabolites remains open. It would be helpful to have additional methods which broaden the existing screening spectrum [3, 4]. The effects of xenobiotic steroids in the organism are well documented and it is known that these testosterone analoga can act via mRNA expression in the cell, influencing the expression of different genes [5]. In the hair follicle androgenic hormones act via the dermal papilla but also initiate different expression pathways in the cells of the inner and outer root sheath [6].

The idea of this feasibility study was to find a way to extract RNA from cells of hair follicle samples obtained by plucking the hair of the androgen dependent frontal scalp. The identification of different target genes could then be a possibility to identify a biomarker pattern. Taking this androgen specific pattern the intake of illegal drugs like testosterone and other xenobiotic steroids could be possible.

To make sure that cells of the hair follicle can be extracted by plucking the hair, histological slices were gained and stained to identify the cell types of the hair follicle.
Possible biomarkers (target genes) which are known to be influenced by anabolic agents and which are expressed in the dermal papilla or hair follicle were taken and separated in functional groups: Different studies have mentioned the important role of estrogens in the hair cycle, especially the estrogen receptor alpha (ERa) that mediates catagen induction of 17b-estradiol in the hair follicle. It could be detected not only in the dermal papilla cells but also in matrix keratinocytes and inner and outer root sheath [7, 8]. Two other important receptors of the AAS signaling pathways in the dermal papillae are the androgen receptor (AR) and the glucocorticoid receptor alpha (GRaaaaa). Through the binding to the receptors the androgens induce the mRNA expression of different genes [9, 10].

Factors that inhibit hair follicle growth are the fibroblast growth factor 2 (FGF2) which is expressed in the hair follicle and interleukin 1b (IL1b) that is located in the epidermis and cells of the root sheath. Fibroblast growth factor 7 (FGF7) is the antagonist and induces hair follicle growth [11, 12]. Also apoptosis factors play a crucial role in the catagen phase of the hair growth. Bcl-2 was found to be continuously expressed in the hair papilla and plays a role as a support and signal center, and apoptosis related receptors like FasR were analyzed in the follicle epithelium. Also other factors of the extrinsic apoptosis pathway Caspase 3 and 8 were tested [6].

5a-reductase (SRD5A) is the enzyme that catalyses the transformation of testosterone to 5a-dihydrotestosterone, an androgen that is supposed to be a mediator of hair loss. Two isoenzymes type 1 and type 2 exist whereas type 1 is mainly expressed in dermal papilla cells, type 2 also in dermal fibroblast. Additionally 5a-reductase type 2 is restricted to beard and frontal scalp [9, 13, 14].

This study was done to show up significantly regulated target genes under the influence of anabolic agents in hair follicles. Showing up the difference in the gene expression regulations of samples from treated and untreated persons should make it possible to identify the intake of specific anabolic agents. Such specific biomarker expression patterns could foster the existing analysis methods for anabolic agents in doping control and help to uncover illegal abuses.


MATERIALS AND METHODS

HAIR FOLLICLE EXTRACTION

Frontal scalp hair follicle samples were taken from the androgen dependent upper part of the head. In the first study five hair follicle samples were taken from women and five samples from men to find possible gender specific differences. In the second study three samples from weight lifters that are known to take different anabolic agents (testosterone, trenbolone) could be taken and three hair samples from untreated man served as control.

To get the hair follicle, five to six hairs were penned in a clamp, plucked and cut to ca. 1 cm length. The hairs were immediately given in a tube filled with lysis buffer (MasterPure RNA Purification Kit, Epicentre Biotechnologies, Madison, WI, U.S.A.) and shock frozen in liquid nitrogen. After freezing the samples were stored at -80°C. To extract the RNA from the hair samples, the MasterPure RNA Purification Kit and protocol (Epicentre Biotechnologies, Madison, WI, U.S.A.) was used.

To quantify the amount of the extracted total RNA, optical density (OD) was measured with the photometer (Eppendorf Biophotometer, Hamburg, Germany). RNA purity was calculated with the OD260/280 ratio.


RNA QUALITY

To get an idea about the RNA quality of the extracted total RNA, RNA integrity and quality control was performed with the Bioanalyzer 2100 (Agilent Technology, Palo Alto, USA). Samples from both studies were analyzed and taken as reference for an average RNA quality. For sample analysis eukaryotic total RNA Nano Assay (Agilent Technology) was taken and the RNA Integrity Number (RIN) served as RNA quality parameter [15].

PRIMER DESIGN AND TESTING

All primers were designed using published nucleic acid sequences of Ensembl Genom Browser (http://www.ensembl.org) and NCBI (http://www.ncbi.nlm.nih.gov). Primer 3 (http://frodo.wi.mit.edu/) was taken to design and optimize all prime pairs with regard to primer dimer formation, self-priming formation and primer annealing temperature at 60°C (Table 1). Designed primers were ordered and synthesized at MWG Biotech (Ebersberg, Germany). All selected target genes were first established in a cell culture study for HFDPC (hair follicle dermal papilla cell) samples (Reiter et al., manuscript submitted).  




TABLE 1
List of target and reference genes measured in the hair follicle samples, showing one specific product in the melt curve analysis. All other genes showed unspecific primer dimers in the melt curve analysis. Annealing temperature (AT) and the accession number in NCBI (Acces.Nr.) are listed


Reiter et al. Doping J Vol.5, 3 - Table 1. List of target and reference genes measured in the hair follicle samples, showing one specific product in the melt curve analysis

Note: you may need to resize your browser window for better view of Table 1




REAL-TIME qRT-PCR

Quantitative real-time RT-PCR was performed in the Rotor Gene 6000 (Corbett Life Science, Sydney, Australia) using SuperScript III Platinum SYBR Green One-Step qPCR Kit (Invitrogen, Carlsbad, USA) by a standard protocol. Samples were diluted to 10ng/µl and 50ng tRNA in 5µl (Invitrogen, Carlsbad, USA) was added to each sample to protect mRNA of degradation. 38 ng total RNA were taken for one PCR reaction in a total volume of 10µl. The PCR protocol had following steps: Hold 1 (55°C, 10min), Hold 2 (95°C, 5min), Cycling (40 cycles: 95°C, 15sec; 60°C, 20sec; 68°C, 20sec), Melt curve (60°C- 99°C, 0.5°C/step). Crossing points (Ct) and melting curves were acquired by using the “quantitation” and “melting curve” program of the Rotor-Gene 6000 analysis software.
Only genes with clear and single melting peaks were taken for further data analysis. Samples with irregular melting peaks were excluded from the calculation. All samples were baseline corrected and threshold was set manually, using same threshold levels for one gene in all samples
.

HISTOLOGICAL STAIN AND IMMUNOHISTOCHEMISTRY

Hair samples were incorporated in frozen section medium (Richard-Allan Scientific, Kalamazoo, USA) and prepared using a cryostat mycrotom HM 505E (Micron, Walldorf, Germany). 6 µm slices of the hair follicles were fixed on the object holder with 100%, -30°C frozen ethanol and stained in haematoxylin (Sigma, Germany) for 3 min. The histological slices were blued with tap water, stained in 1% eosin (Sigma-Aldrich, Munich, Germany) for 7 min, washed with 50-100% ethanol and finally given in rotihistol (Sigma-Aldrich, Munich, Germany). With EUKITT the cover slips were fixed on the object holder and hardened over night.

 
DATA ANALYSIS AND STATISTICS

Data were processed applying relative quantification method comparable to the ddCt-method (2ddCt) [16]. For normalization of target gene (TG) expression the arithmetic mean of the following non regulated reference genes (RG) were taken for the calculation of a reference gene index (RGI): In study one (RG1) glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and (RG2) ubiquitin (UBQ), in study two (RG1) ACTB and (RG2) UBQ. For every sample gene expression of the two RG were analyzed and the mean value served as reference gene index.

In Excel (Microsoft, USA) all calculations were done. T-test calculations were used to find gender specific regulations of the target genes. In study one only Ct could be calculated because no control group existed. In study two
ddCt and the expression ratio could be analyzed

M Reiter et al. Doping Journal article Vol. 5, article 3

RESULTS

HISTOLOGICAL STAIN

Hair samples were incorporated in frozen section medium (Richard-Allan Scientific,

Twenty males participated in this study. Subjects mean (SD) age, resting SBP, DBP and HR and were 22.3 (4.0) years, 127 (5.4) mmHg, 78 (4.2) mmHg and 70 (4.8) beats/minute, respectively. The mean run time, no of exercise laps and VO2 max are 8 (2.0) mins, 72.8 (8.0) m and 42.5 (5.0) ml.kg-1.min-1 respectively. Detailed physical characteristics are depicted in Table 1.
xfig1


FIGURE 1
Slice of the plucked hair with the hair shaft (1) and outer root sheath cells (2) which are clearly outlined by perifollicular sheath cells (3), stained in blue.


Reiter et al. Doping J Vol.5, 3 - Figure 1. Slice of the plucked hair with the hair shaft (1) and outer root sheath cells (2) which are clearly outlined by perifollicular sheath cells (3), stained in blue

Note: you may need to resize your browser window for better view of Figure 1



RNA CONCENTRATION AND QUALITY OF HAIR FOLLICLE SAMPLES

Mean total RNA concentration of all samples of the first study was 674.6±520 ng, 741.4±546.6 ng in male and 676.8±509.7 ng in female samples. In the second study mean RNA concentration was 1144±64.4 ng.

The measured RIN values showed and average value of 7.9 what is high enough to expect good results in qRT-PCR.



FIGURE 2
Melt curve of FGF7 in study 2 with the melt temperature on the x-axis and the first derivative of the melt curve on the y-axis. Control samples (green) do not show a specific product, treated samples (orange) show a specific melt peak at 83°C

Reiter et al. Doping J Vol.5, 3 - Figure 2. Melt curve of FGF7 in study 2 with the melt temperature on the x-axis and the first derivative of the melt curve on the y-axis. Control samples (green) do not show a specific product, treated samples (orange) show a specific melt peak at 83°C

Note: you may need to resize your browser window for better view of Figure 2




PCR CONCENTRATION OF HAIR FOLLICLE SAMPLES

In the first study the reference genes GAPDH and UBQ and in the second study the reference genes ACTB and UBQ were not significantly regulated and could be taken for statistical calculation. In the first study the target genes AR, ERa, FGF2, FGF7, IL1, SRD5A2, FasR, Bcl-2, Caspase 8 and 9 were measured, in the second study AR, GR
a, ERa, FGF7, FasR, Caspase 3 and 8. The melt curve analysis of AR, ERa, SRD5A2 and Caspase 8 did not show a specific product. FGF7 only showed a specific product in the treated samples of study two, in the control samples the melt curve analysis showed no specific peak (Figure2). The melt curve of GR showed a specific peak in the treated and untreated samples, with better results in peak height showing the sensitivity of the amplification in the treated samples (Figure 3).



FIGURE 3
Melt curve of GR in study 2 with the melt temperature on the x-axis and the first derivative of the melt curve on the y-axis. Control samples (purple) show slightly lower peak heights at 86°C than treated samples (green)

Reiter et al. Doping J Vol.5, 3 - Figure 3. Melt curve of GR in study 2 with the melt temperature on the x-axis and the first derivative of the melt curve on the y-axis. Control samples (purple) show slightly lower peak heights at 86°C than treated samples (green)


Note: you may need to resize your browser window for better view of Figures




DATA ANALYSIS AND STATISTICS

In study 1 none of the measured target genes showed significant differences (p-value<0.05) between the male and female samples in the first study. In the second study a significant down-regulation of 41 % for the GRa could be calculated (p-value=0.02). For FGF7 the treated samples had a mean Ct of 23.9 cycles and a mean dCt-value of 4.88. This shows a lower expression compared to the reference genes.



DISCUSSION


Different studies have shown that anabolic agents influence hair growth through the dermal papilla via regulation of different genes in males and females. The gene expression regulations induced in the papilla also showed effects on growth factors of root sheath cells [17, 18, 19]. Analyzing these specific regulations in hair follicle samples could be a new possibility to identify the intake of forbidden anabolic agents like testosterone and other xenobiotic.

Histological stains of plucked hair follicle samples clearly showed that cells of the root sheath, especially the outer root sheath could be gained and used for RNA extraction without taking a skin biopsy. This is a pre-condition for the use in doping analysis because sampling has to be simple practicable. Samples from the androgen dependent part of the scalp (frontal scalp hair) were taken to show possible gender specific differences in gene expression. It was not possible to gain the hair papilla by plucking as expected. This could explain that AR, ERa and SRD5A2, target genes that are known to be mainly expressed in the hair papilla could not be detected.

To get hair follicle samples from weight lifters that own up to take anabolic agents is quite difficult; therefore only three samples could be analyzed and taken for statistical analysis. However, first significant differences between the treated and untreated samples could be detected. A first androgen dependent effect could be seen in the expression of FGF7 that could only be measured in the samples of the treated weight lifters, all untreated samples from study one and two did not show a specific product in qRT-PCR analysis.

It is known that androgens can bind and act via the GR what can be confirmed by the significant down-regulation of the receptor and the higher amplification sensitivity in the treated samples, in the second study.

The expression of IL1b and Bcl-2 in the first study and FasR in both studies in the inner and outer root sheath of the hair follicle could be approved [6, 10, 20].

 

CONCLUSION

With this study a first step towards a possible new screening method for anabolic androgenic agents via gene expression analysis could be done, with the aim to support existing, mass spectrometry based detection methods. Plucking hairs and taking the RNA from the hair follicle seems to be a practicable method to analyze different gene expression and find specific biomarkers. A sampling and extraction method could be successfully developed and first target genes could be analyzed. Differences in gene expression regulations between the different genders could not be calculated. It seems that only very high androgen concentrations significantly influence these gene regulations. This effect could be seen in the expression of FGF7 and the significant regulation of GR only in samples of androgen treated athletes, what makes these two target genes to first biomarkers of AAS.

These results show first promising differences between treated and untreated samples, a precondition for the development of a possible screening method for anabolic agents. The ambitions for the future should be the identification of specific biomarker patterns for functional groups of anabolic agents, in order that abuses can be uncovered.

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M. Reiter, S. Lüderwald, M.W. Pfaffl, H.H.D. Meyer. First steps towards a new screening method for anabolic androgenic agents in human hair follicle? The Doping Journal  Vol.  5, 3 (2008) Available at: http://dopingjournal.org/content/5/3/
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