Key words
sport enhancement drugs - professional sports - bodybuilding
Introduction
A PubMed search for studies reporting on sports performance enhancement drugs (PED)
revealed ~3,000 documents, almost half of which focused on anabolic
androgenic steroids (AAS). AASs are derivatives of the human hormone testosterone
and are responsible for stimulating the biosynthesis of cellular proteins [1]. Their effectiveness depends on the number of
metabolically available nutrients [2]
[3] and the genetic control of muscle growth [4]. Despite its illegality [5] and possible health-related risks [6],
AAS helps people achieve increased lean body mass and strength [7] for various recreational and professional sports. In
particular, most competitors, in addition to Olympic and well-paid professionals,
use AAS on a trial-and-error basis [8].
To date, some scientific reports suggest that AAS are responsible for adverse health
effects [9]
[10]
[11]
[12]
[13]; however, the previous review of the literature did
not confirm this [14]. Furthermore, Hargens et al.
[15], in a study on the effects of AAS on
strength-training athletes, pointed to the practical shortcomings of many study
methods, indicating that most focus on athletes using only one or two types of AAS.
Although such a method is justified from a clinical perspective, it has shortcomings
from a practical point of view and is irrelevant in professional sports
practice.
It has been shown [14] that competitive bodybuilders
experiment with various AAS, which, in their judgment, allow them to achieve better
musculature and vascularization and concomitantly decrease their level of adipose
tissue to a physiological minimum. Therefore, a simplistic approach does not provide
an accurate picture of the influence of AAS on human physiology in contemporary
sports, especially in sports such as bodybuilding, weightlifting, and wrestling.
This study is an explicit analysis of the health-defining parameters of world-class
bodybuilders as a function of self-administration of PED, including AAS
[testosterone propionate, drostanolone propionate (Masteron), trenbolone acetate,
oxandrolone (Anavar), stanozolol (Winstrol) and boldenone undecylenate], human
growth hormone (HGH) and fat-burning drugs [triiodothyronine (t3), clenbuterol,
mesterlone (Proviron), tamoxifen citrate (Nolvadex), and 2, 4-Dinitrophenol
(2,4-DNP)]. The study was conducted with a group of eight top
amateur/professional bodybuilders during the competition preparation period
[16]. It is also an attempt to establish to what
extent AAS are used in competitive sports. Due to the lack of readily available
scientific reports on the topic, most people use YouTube and other unsaturated
Internet sources to learn about the topic. Furthermore, some scientific reports also
provide misleading information on the physiological implications of AAS without
specific evidence. Some also duplicate specific health-related comments without
proper substantiation of the given statements.
We want to stress that the data presented in this report should not be associated
with any particular bodybuilding organization or sports event. Furthermore, we were
unable to check the quality of the drugs used by the competitors, and we did not
require information on the origin of the drugs.
The null hypothesis of this study states that extensive use of PED results in
immediate detrimental changes in the parameters that define human health. To our
knowledge, this study is the first to analyze the competitive use of PED and its
relationship with the basic physiological parameters that define the health of
competitors in a real-life scenario.
Materials and Methods
The study was carried out by gaining access to competitor notes and results of the
medical examination that included the time, amount, and brand of specific drugs used
in self-administered form during six months of preparation for international
competition.
Study subjects
All experiments and methods were performed in accordance with the relevant
guidelines and regulations. All experimental protocols were approved by the
Medical Chamber Licensing Committee: KB-20/14. Informed consent was
obtained from all subjects. The study was carried out with the funding of the
participants and the authors. The study was carried out in a group (N=8)
of the best European (Caucasian ethnicity) male bodybuilders of different
countries and nationalities in Europe who used PED during the preparation period
for the contest. Due to the extreme difficulty in collecting the data, the
presented data were collected with the underlying objective of studying a group
of at least five competitors for a comparable competition preparation period.
The ages of the study subjects ranged from 30 to 35 years
(M=32.49, SD=1.47). The BM of the competitors was
between 97.2 and 110.4 (M=104,4, SD=4.28).
Information on self-administered amounts of PED is presented as ranges
(minimum-maximum) and is shown in [Table 1].
After six months of drug administration, some competitors apply a period of
1–2 months of drug-free training before competition.
Table 1 Drugs used by competitors during the competition
preparation cycle. q.wk. – once a week, q.o.d.
– every other day, q.d. – every day, d. in
p. æ. – divided into equal parts,
b.d.s. – twice daily, NaN lack of the
data.
Name
|
Lit. Reference
|
Month: 1–5
|
Month: 6
|
Testosterone propionate
|
[52]
[53]
|
100–150 mg q.o.d.
|
100 mg q.o.d.
|
Drostanolone propionate (Masteron)
|
–
|
100–150 mg q.o.d.
|
X
|
Trenbolone acetate
|
–
|
75–100 mg q.o.d.
|
X
|
Oxandrolone (Anavar)
|
[89]
[90]
[91]
|
50–75 mg q.d.
|
X
|
Stanozolol (Winstrol)
|
[55]
|
50–100 mg q.d
|
X
|
Boldenone undecylenate
|
–
|
500–600 mg q.wk.
|
X
|
Triiodothyronine (t3)
|
[66]
|
x
|
10–25 mg q.d.
|
Clenbuterol
|
[71]
[72]
|
0.08–0.04 mg b.d.s.
|
0.02 mg d. in p. æ.
|
Mesterolone (Proviron)
|
[73]
|
20–25 mg q.d.
|
X
|
Tamoxifen citrate (Nolvadex)
|
[77]
|
20–30 mg b.d.s.
|
20 mg q.d.
|
Human growth hormone (HGH)
|
[80]
|
2 x 3UI–4IU q.d.
|
2 x 2UI–3IU q.d.
|
2,4-dinitrophenol (2,4-DNP)
|
[92]
|
x
|
100–200 mg q.d. ( 7th day off)
|
An analysis of the competitor’s notes exposed a specific diet for the
competition preparation period consisting of specific protein-fat-carbohydrate
ratios. Therefore, until the fifth month of preparation, the diet consisted of
six meals between 7:00 h and 23:00 h, containing
~40% protein, ~20% fat, and ~40%
carbohydrates. As a result, competitors consumed 3.8–4.2 g of
protein/kg of body mass/day, 1–1.2 g of
fat/kg of body mass / day and 3–4 g of
carbohydrates / day / kg of body mass. This ratio provided
~200% Cal of each competitor’s calculated basal
metabolic rate (BMR). During the last 5 and 6 months of the preparation period,
the levels of carbohydrates and fat gradually decreased to zero. Such an
approach led to a decrease of total caloric consumption to ~150 and
~100% of BMR for the 5th and 6th months of the preparation
period, respectively.
Study protocols
In this study, the following physiological, biochemical, and anthropometric
parameters were analyzed: serum lipids (serum cholesterol levels [total
cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL-C) and
low-density lipoprotein (LDL-C)]), aspartate aminotransferase (AST), alanine
transaminase (ALT), Bilirubin, blood urea nitrogen levels (BUN), bone mineral
density (BMD, and percentage of total body fat (tissue) (%BF).
To avoid direct contact between study subjects and the research team, all
subjects were asked to perform a blood biochemical analysis in an accredited
laboratory. All laboratory measurements were made in the morning after a fast of
12 hours (no food or drink, except water). The analytical procedure
provided in the following is derived by analyzing laboratory-accredited
protocols.
4.5 ml of blood was collected in Mint Green Top (Lithium Heparin Gel) and
centrifuged within 2 hours of sample collection for 10 minutes
at 2800 rpm. Plasma TC level was measured enzymatically [17]
[18] HDL-C
cholesterol levels were analyzed using four reaction procedures, resulting in
quinone-imine dye, whose concentration is directly proportional to HDL-C levels
and measured at λ=600 nm. Serum TG levels are measured
enzymatically via a series of coupled reactions in which TGs are hydrolyzed to
produce glycerol. LDL-C levels were calculated using the following formula:
LDL-C=TC - HDL-C-(TG/5). AST and ALT activities were evaluated
using the kinetics of a set of enzymatic reactions, in which the final step
(i. e. oxidation of NADH to NAD+), directly
proportional to the activity of ALT or AST, can be measured colorimetrically
at=340 nm.
The concentration of blood urea nitrogen (BUN) was measured enzymatically.
The total concentration of bilirubin was measured photometrically at
λ=548 nm.
Standing height was measured using a stadiometer with a fixed vertical backboard
and an adjustable headpiece with an accuracy of 0.1 cm. Body mass was
determined using a digital weight with an accuracy of 0.1 kg.
For the analysis of bone mineral density (BMD) and body fat percentage
(%BF), dual energy X-ray absorptiometry (DXA), a standard for clinical
diagnosis, was used [19]. All BMD and %BF
measurements were performed using the Lunar Prodigy Primo PE+303599 (GE
Healthcare).
Reference sample
Data for the reference sample were collected from the National Health and
Nutrition Examination Surveys (NHANES). The purpose of NHANES is to gather
information and to descriptively and quantitatively monitor the physical state,
disease, and interrelations of physiological and psychical conditions and
nutrition [20]
[21]
in the population of the U.S.A. The survey allows sample stratification by sex,
age, race, and income.
For the purpose of direct comparison between professional bodybuilders and the
random population, 100 Caucasians between 30 and 35 years of age (M=34,
SD=3.3) were randomly selected from the NHANES database. Such an
approach was shaped by the financial and logistic constraints of the study.
Therefore, we have decided to use a database that is employed worldwide to
elucidate the reference values for the study’s
physiological/biochemical parameters.
Nine outcome variables were analyzed: total cholesterol, triglyceride,
high-density lipoprotein, low-density lipoprotein, aspartate aminotransferase,
alanine transaminase, bilirubin, body mass, and percentage of total body fat.
The selection of a specific ethnic group was based on racial disparities in
cardiovascular health [22].
Body mass of the reference sample was measured according to the specifications
provided in the NHANES manual [23]. Serum
lipid levels (SLL), including TC, TG, and HDL-C, were measured according to
published procedure [24]: Concentrations of
aspartate aminotransferase and alanine transaminase were evaluated using Beckman
Synchron LX20 following the NHANES-provided procedure [25]. Bilirubin concentration was evaluated using the Beckman Coulter
UniCel DxC 800 Synchron clinical system, according to the procedure manual [26]. Blood urea nitrogen was evaluated using the
Beckman Synchron LX20 [27]. Body fat percentage
was evaluated using the Hologic QDR 4500 A scanner [28] .
Statistical analysis
The normality of the distribution of the samples was verified using the
Shapiro-Wilk test [29]. The equality variances for
the response variables as a sampling function were analyzed using
Levene’s test [30]. If Levene’s
test showed variance heterogeneity across all measured parameters, the Welch
procedure (Welch ANOVA) was used for a time-dependent analysis [31]
[32]. Post-hoc
analysis was performed using the Games-Howell test for multiple pairwise
comparisons with unequal variances [33]. The null
hypothesis for the statistical tests was verified at P<0.05.
Results
[Table 2] collects data on the differences in the mean
values of the studied parameters between professional bodybuilders and the reference
sample. Although there are statistically significant differences at
P<0.05 in the level of TC, HDL, AST, ALT, bilirubin, BUM and%
BF, all the parameters studied (besides LDL-C) reside in normal physiological ranges
for both study groups.
Table 2Differences in health-defining parameters between
world-class bodybuilders and a randomly selected sample of white
Caucasians. Triglyceride – TG (mmol / L); Total
Cholesterol – TC (mmol / L); High-density
Lipoprotein levels – HDL-C (mmol / L); Low-density
Lipoprotein levels – LDL-C (mmol / L); Aspartate
Aminotransferase – AST (μkat / L); Alanine
Transaminase – ALT (μkat / L); Bilirubin
(μmol / L); Blood Urea Nitrogen - BUN (mmol
/ L); Total Body Fat Percentage – %BF;
Testosterone (nm/L).
Parameter
|
Descriptive
|
Month: 1
|
P<0.05
|
|
statistics
|
(N=8)
|
|
N=100
|
TC
|
min
|
3.83
|
|
2.56
|
max
|
4.53
|
|
13.94
|
Mean (SD)
|
4.15 (0.22)
|
*
|
5.17 (1.17)
|
TG
|
min
|
2.11
|
|
0.45
|
max
|
2.42
|
|
8.19
|
Mean (SD)
|
2.22 (0.11)
|
|
1.67 (1.17)
|
HDL
|
min
|
0.49
|
|
0.61
|
max
|
0.56
|
|
2.28
|
Mean (SD)
|
0.52 (0.02)
|
*
|
1.18(0.30)
|
LDL
|
min
|
3.39
|
|
1.06
|
max
|
3.74
|
|
5.61
|
Mean (SD)
|
3.59 (0.12)
|
|
3.32(0.91)
|
AST
|
min
|
1.38
|
|
0.20
|
max
|
1.73
|
|
2.74
|
Mean (SD)
|
1.60 (0.12)
|
*
|
0.45(0.23)
|
ALT
|
min
|
1.82
|
|
0.15
|
max
|
2.1
|
|
3.17
|
Mean (SD)
|
1.99 (0.09)
|
*
|
0.53(0.35)
|
Bilirubin
|
min
|
6.27
|
|
3.4
|
max
|
7.49
|
|
39.33
|
Mean (SD)
|
6.83 (0.44)
|
*
|
4.63(1.29)
|
BUN
|
min
|
7.18
|
|
2.14
|
max
|
8.94
|
|
8.57
|
Mean (SD)
|
8.29 (0.57)
|
*
|
4.8(1.25)
|
BF%
|
min
|
6.81
|
|
11.6
|
max
|
8.39
|
|
43.4
|
Mean (SD)
|
7.62 (0.48)
|
*
|
26.56(6.15)
|
Changes in body mass (BM) and percentage of total body fat
(%BF)
BM continuously increases during the training period from a mean value of
105 kg to 109 kg ([Fig. 1a]: the
color codes follow the weight division guidelines of the International
Federation of Bodybuilding and Fitness [IFBB]). Simultaneously, %BF
decreases from the percentage defining athletes
(5≤%BF<11) to the optimal level of body fat for
bodybuilders, that is, essential body fat (%BF<5) [34]
[35], [Fig. 1b]. Although discussing monthly changes in
bone mineral density (BMD) over such a short period is meaningless, we examined
the mean BMD values among professional bodybuilders in the first and final
months of the competition preparation period. In the first month, the BMD is
equal to 1.34±0.11 g/cm2, while in the sixth month, it
equals 1.44±0.5 g / cm2. Furthermore,
following information on the relations between BMD and testosterone levels [36], we measured the average testosterone level in
all study periods; it was equal to 52.05 nm/L. [Table 2] revealed a statistically significant
difference between the normal sample and professional bodybuilders, indicating a
three-fold lower %BF in the competitor group than observed in the normal
sample. Furthermore, professional bodybuilders are defined by an android fat
percentage equal on average 6.19±1.28% (data not shown)
Fig. 1 Changes in body mass (BM) and total body fat percentage
(BF%), resulting from the administration of sports doping drugs
as a function of a competitive preparation period.
Changes in serum total cholesterol
Serum TC levels of professional bodybuilders vary significantly within the
desirable range ([Fig. 2a]), reaching a minimum
in the fourth month and a maximum in the sixth month. In the sixth month of the
preparation period, only three of the eight competitors were found to have
borderline high levels of TC
(5.14 mmol/L≤TC<6.20 mmol/L)
[37]. On the contrary, the values for five
competitors fell within the desirable range
(TC<5.14 mmol/L) [37].
Although there is a statistically significant difference between professional
competitors and ‘laymen’, TC levels in both groups, [Table 2], are within the physiologically desirable
range.
Fig. 2 Changes in serum levels of a) Total Cholesterol
(TC), b) Triglyceride (TG), c) High-density Lipo-protein
Cholesterol (HDL-C), and d) Low-density Lipoprotein Cholesterol
(LDL-C), rendered by administration of sport-doping drugs as a function
of a competition preparation period. *p<0.5,
**p<0.01,
***p<0.001,
****p<0.0001.
Changes in serum triglycerides
The serum TG concentration in professional bodybuilders fluctuates on the border
of borderline high (1.69 mmol/L TG<2.26 mmol /L) and
high values (2.26≤TG<5.64) [37]
([Fig. 2b]). There are no statistically
significant differences in TC levels between professional bodybuilders and the
general population, [Table 2].
Changes in serum high-density lipoprotein cholesterol
HDL-C levels in competitors vary significantly during the preparation period
([Fig. 2c]), with three distinct motifs,
i. e. an increase during months one to two and four to five and a
decrease between months five and six. Although HDL-C levels fluctuate
substantially, their values remain within the low concentration range
(HDL-C<1.01 mmol/L) [37].
[Table 2] revealed that the HDL-C level was
statistically higher in the general population than in professional
bodybuilders: 1.18 vs. 0.52, respectively. Thus, the general population is
defined by a normal HDL-C concentration, whereas a low HDL-C concentration
defines professional bodybuilders.
Changes in serum low-density lipoprotein cholesterol
Bodybuilders LDL-C levels fluctuate within the near optimal/above optimal
(2.58 mmol/L≤LDL-C<3.36 mmol/L),
borderline high
(3.36 mmol/L≤LDL-C<4.13 mmol/L),
and high (4.13 mmol/
L≤LDL-C<4.91 mmol/L) [37] levels ([Fig. 2d]). It achieves a
minimum in the fourth month and a maximum in the sixth month of preparation for
competition preparation. Although [Table 2]
revealed that there are no differences between competitors and subjects that
belong to general human populations in LCL-C levels: 3.59 vs
3.32 mmol/L, the mean level of LDL-C of competitors is included
in the borderline high reference range, while the mean levels of LDL-C of
the general population are encompassed by a near optimal range.
Changes in aspartate aminotransferase
The AST levels of professional competitors fluctuate between month one and six of
the preparation period in the high-concentration region (AST>0.58
μkat/L) [38]. It reaches its
minima in the second and fifth months, [Fig. 3a].
Furthermore, AST activity decreases significantly between the first and second
and fourth and fifth months, and increases between the second to fourth months
and from the fifth to the sixth months. There is a statistically significant
difference between professional bodybuilders and subjects belonging to the
‘normal’ population: 1.60 vs. 0.45 μkat/L,
respectively, [Table 2]. Therefore, bodybuilder
AST levels are nearly four times higher than those observed in a
‘normal’ population. Furthermore, the ‘normal’
population is defined by normal levels of AST.
Fig. 3 Changes in serum levels of a) Aspartate
Aminotransferase (AST), b) Alanine Aminotransferase (ALT),
c) Bilirubin, and d) Urea, rendered by administration
of sport-doping drugs as a function of the competition preparation
period. *p<0.5, **p<0.01,
***p<0.001,
****p<0.0001.
Changes in alanine aminotransferase
In bodybuilders, the pattern of changes in ALT levels is analogous, although more
pronounced, to that observed for AST levels. ALT concentration fluctuates during
the competition preparation period, adopting values encompassed by the high
concentration region (ALT>0.91 μkat/L) [38]. They reach a minimum in the second and sixth months, [Fig. 3b]. Additionally, there is a substantial
decrease in ALT activity during the first and second months and the fourth and
fifth months. An increase in ALT activity is observed between the 2nd
and 4th, and 5th to 6th months of the contest
preparation period. There is a nearly four-fold increase in the mean AST level
between competitors and ‘normal’ subjects: 1.99 vs. 0.53
μkat /L, respectively, [Table 2].
Thus, normal subjects are defined by AST levels in the normal region, whereas
competitors are defined by levels twice the value of a high concentration
threshold.
Changes in bilirubin
In professional bodybuilders, the concentration of bilirubin varies considerably
during the preparation period. However, all changes occur within the desirable
range (12.7±4.3) [39], [Fig. 3c]. Bilirubin concentration reaches a
minimum in the fourth month and a maximum between the fifth and sixth months of
the preparation period. A minor increase in bilirubin concentration spanning
months one to three is followed by a substantial decrease between the third and
fourth months and a considerable increase between the fourth and fifth months.
There is a statistically significant difference in bilirubin concentration
between professional bodybuilders and subjects in the general population: 6.83
vs. 4.63 μmol/L, [Table 2].
However, the mean levels that define both groups are within the desirable
range.
Changes in blood urea nitrogen
Professional bodybuilders are defined by significant changes in BUN throughout
the entire competition preparation period between the desirable
(2.1 mmol/L≤BUN<7.1 mmol/L) and
high values (BUN≥7.1 mmol/L) [40]. BUN levels reach a maximum in the fourth month and a minimum in
the fifth and sixth months, [Fig. 3d]. There is a
nearly two-fold difference in BUN levels between competitors and
‘normal’ subjects: 8.29 vs. 4.8 mmol/L, [Table 2]. Therefore, competitors are, on average,
defined by high values of BUN, whereas ‘normal’ subjects are
defined by desirable BUN concentration.
Discussion
The limitations of the presented study are the small study sample and the lack of
clinical control over the quality of drugs used by competitors. However, to our
knowledge, it is the only report, apart from two general reviews [41]
[42], that discloses
the extent of PED employment in preparation for a bodybuilding competition. The
results of this study do not reveal changes in selected physiological, biochemical,
and anthropometric parameters that could cause immediate health-related
problems.
This study shows that professional bodybuilders are defined by unfavorable changes
in
the blood biochemistry profile and serum lipid levels. There is also a statistically
significant decrease in body fat percentage between the ‘normal’
population and professional bodybuilders, which unfolds in the latter body fat
percentage in the physiologically essential fat area [34]
[35].
The results of this study on the relations between PED and HDL-C levels with the
report on changes in HDL-C [43] indirectly confirms
the presence of low-levels of HDL-C among AAS users. They also partially support
(referring to the results obtained in the sixth month of competition preparation)
the results of the study on changes in LDL-C profile as a function of AAS abuse
[44]. Nevertheless, this study does not confirm
the previous observation regarding cross-correlations between AAS employment and a
decrease in TG levels [41] This study also confirmed
the previous results indicating that administration of AAS results in increase in
total lean body mass, and a decrease of body fat percentage [42].
The study also shows that self-administration of AAS increases serum testosterone
levels to concentrations greater than 52.05 nm /L, that is, triple
that of the analogous ‘normal’ male age group
(17.29 nm/L) [45]
[46]
[47].
This study reveals that AAS administration leads to an increase in BMD. Since the
majority of PED employed by the competitors are derivatives of testosterone, this
study indirectly confirms the previous findings, that there is an increase in BMD
in
response to testosterone administration [48]
[49]. The reported BMD values are also significantly
higher than those observed for similarly aged European men [50]. %BF decreases in response to drug administration. However,
the analysis of %BF using the DXA technique is viable for methodological
variability and standardization of procedures [51].
Thus, when reviewing the DXA data, one may expect increased variability of the
distribution of the data in and between time frames.
An analysis of the literature on the intake of testosterone propionate reveals that
it can cause mild myocyte hypertrophy of the heart muscle [52]. Furthermore, some reports indicate that it can be accompanied by
myocardial dysfunction and accelerated coronary atherosclerosis [53]. However, this study could not confirm or disprove
these observations. Nevertheless, the cross-correlation of our observations with the
study on correlations between coronary heart disease and serum lipid levels [54] indicates that the development of coronary heart
disease is probable. We also cannot confirm the previous observations that indicate
Winstrol [55], Anavar, and other AAS [56]
[57] as potent
hepatotoxic agents. Although the observed changes in AST, ALT, and bilirubin levels
may indicate a hepatotoxic response, the observed elevation of AST and ALT may also
be the product of micromuscular injuries [58] that
occur during heavy-load training. Since, at the time of the survey, all competitors
had been using PED for more than five years, the expected changes in AST, ALT, and
bilirubin levels should be greater in magnitude and should fall into the adversity
brackets defined by the ‘Common Toxicity Criteria for Adverse
Events’ [59], that is, between 1×ULN
and 1.5×ULN to 3×ULN to 8×ULN, for AST and ALT,
respectively.
We cannot confirm or disprove health-related adversity [60]
[61] of boldenone undecylenate, a
veterinary steroid known for its propensity to increase body mass and appetite [62], as well as reproductive function [60]. Furthermore, this study does not confirm the
adverse correlations between T3 levels and TC, HDL-C, and LDL-C concentrations [63]
[64]
[65]. Although indirectly, through a decrease in body
fat tissue, we confirm the previous report that indicated an increase in lipid
metabolism [66] attributed to T3 intake. The study
also confirms previously reported alterations in AST and ALT levels [67] as a function of T3 administration.
An animal model study shows that clenbuterol decreases TC levels and leads to
fluctuations in TG levels [68]. When administered
orally, clenbuterol can also affect kidney [69] and
liver [70] functions. Although our study does not
confirm these observations, there are fluctuations in serum lipid levels, indicating
possible impairment of lipid metabolism. Furthermore, we were unable to confirm the
reported correlations between AST, ALT, and bilirubin levels in response to oral
administration of clenbuterol [70]
[71]. However, this report confirms a moderate increase
in AST and ALT levels in response to AAS intake, previously described by Abdulredha
[70]
[72]. In
particular, the magnitude of the increase in AST and ALT levels can be masked by the
physiological properties of clenbuterol, which decreases AST, ALT and bilirubin
levels [71].
This study indirectly confirmed reports indicating Proviron as a prominent body mass
increasing agent [73]
[74].
Nolvadex is a hepatotoxic [75] estrogen receptor
modulator [76], and a potent drug against gynecomastia
[77]. However, this study did not confirm
Nolvadex-induced hepatotoxicity [78] and
hyperlipidemia [79]. It is probably due to the action
of clenbuterol, resulting in decreased levels of hepatotoxicity markers.
This report also indirectly confirms previous findings that HGH increases lean muscle
mass and decreases body fat tissue by approximately 2 kg and 0.9 kg
[80], respectively, in a few weeks. However, it
has to be stressed that the changes observed in lean body mass are also the results
of other drugs including clenbuterol and 2.4-DNP.
Nevertheless, we could not confirm reports that indicate that HGH use/abuse
could cause health problems [81]
[82].
A previous study reported that extreme abuse of 2,4-DNP by bodybuilders for fat
burning purposes resulted in death when taken in excessive amounts, that is,
3–46 mg of 2,4-DNP per kg of body weight per day [83]. This report shows that competitive bodybuilders
consume, on average, between 0.9 mg and 1.9 mg of 2,4-DNP per
day/kg of body mass, which amounts to ~40% of the lowest
lethal dose [84].
Conclusions
Some reports indicated that AAS and other sport enhancement drugs, such as HGH,
clenbuterol, tamoxifen-citrate, and 2,4-DNP, are serious health risk factors [85]
[86]
[87]
[88]. In contrast to
this study, however, they did not reflect real-life scenarios, such as administering
of PED during preparation for competition. Furthermore, this study showed that the
observed changes in the levels of parameters studied induced by performance
enhancing drugs are within physiologically acceptable ranges. This report also
showed that use of PED does not cause immediate health breakdown, which leads us to
reject the null hypothesis. Nevertheless, long-term influence of performance
enhancing drugs on human health has not yet been established.
Authors’ Contributions
Significant manuscript writers: IZZ and MW. Concept and design: IZZ, MW, BT, RT. Data
Analysis and Interpretation: IZZ and MW. Statistical expertise: IZZ. All authors
read and approved the final manuscript.