|
|
||||||||
1Department of Kinesiology, College of Health and Human Performance, University of Maryland, College Park; 4Clinical Research Branch, National Institute on Aging, Baltimore, Maryland; and Departments of 2Epidemiology and 3Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
Submitted 21 May 2004 ; accepted in final form 10 September 2004
| ABSTRACT |
|---|
|
|
|---|
22 repeats. Whole body soft tissue composition was measured by dual-energy X-ray absorptiometry. Men with greater CAG repeat number exhibited significantly greater total FFM than those with fewer CAG repeats in both cohorts (STORM: 59.2 ± 0.3 vs. 58.0 ± 0.4 kg, P = 0.02; BLSA: 57.2 ± 1.1 vs. 53.8 ± 1.1 kg, P = 0.04). Similar results were observed for total FFM normalized to height. No differences were seen in women in the BLSA cohort. In the BLSA cohort, serum testosterone levels were higher in subjects with greater repeat number (P = 0.003). This same pattern approached significance in the STORM cohort (P = 0.07). In conclusion, the androgen receptor CAG repeat polymorphism is associated with FFM in men in two independent cohorts. Additional studies are needed to confirm this observation and to clarify the mechanisms involved. body composition; genetics; muscle mass; muscle strength; testosterone
Androgen receptors (AR) are highly expressed in skeletal muscle (4, 38), with expression being upregulated in response to muscle overload (2). Animal and clinical studies have indicated that the androgen-AR signaling pathway is required for both skeletal muscle development and increases in muscle mass, strength, and muscle protein synthesis in response to androgens (24). The AR is a member of the nuclear receptor family of ligand-activated transcription factors and is divided into three functional domains (27): the NH2-terminal domain is important for transcriptional activation of androgen-responsive genes (19), the central region encodes a DNA-binding domain, and the COOH-terminal portion contains the ligand-binding domain (14).
The AR gene contains a polymorphic CAG microsatellite repeat sequence, which normally ranges from 8 to 31 repeats and averages
20 repeats in length (11). The CAG repeat is present in exon 1 and encodes for a polyglutamine chain in the NH2-terminal transcriptional activation domain of the AR gene. Several reports indicate that longer CAG repeat length in the human AR results in a linear decrease of transactivation function (6, 7, 20, 43).
Previous studies have shown associations of the AR CAG repeat polymorphism with androgen-related conditions, such as benign prostatic hypertrophy, prostate cancer, and male infertility (13, 23, 30). Given the importance of androgens to the development and maintenance of muscle mass, the importance of the CAG repeat polymorphism to AR function, and the known heritability of muscle mass, we hypothesized that individuals with a greater number of AR gene CAG repeats would exhibit lower levels of total fat-free mass (FFM) compared with individuals with fewer CAG repeats. We tested our hypothesis in two independent cohorts derived from the Study of Osteoporotic Risk in Men (STORM) and the Baltimore Longitudinal Study of Aging (BLSA).
| METHODS |
|---|
|
|
|---|
The BLSA cohort consisted of 202 Caucasian volunteers (112 men and 90 women), aged 1990 yr, recruited primarily from population-based listings. Details of the BLSA recruitment methodology are outlined elsewhere (39). Additional BLSA men without body composition data were included in the analysis of testosterone levels (total n = 163). All BLSA subjects received a complete medical history and physical examination, and subjects with clinical cardiovascular or musculoskeletal disorders that could be adversely affected by exercise testing were excluded.
All subjects gave their written, informed consent before participation and received a complete medical history and physical examination. The experimental protocols were approved by the Institutional Review Boards for Human Subjects at Johns Hopkins Bayview Medical Center (Baltimore, MD) and at the University of Pittsburgh (PA). The protocols related to the analysis of genetic data were approved by Institutional Review Boards at the University of Maryland (College Park, MD) and the University of Pittsburgh.
AR CAG repeat polymorphism. DNA was isolated from EDTA anticoagulated whole blood by using standard methods. PCR amplification of the AR CAG repeat was performed by using forward primer ARA-F 5'-ACCGAGGAGCTTTCCAGAAT, fluorescently labeled with HEX or FAM and one of the following reverse primers: ARA-R1, 5'-AGAACCATCCTCACCCTGCT; ARA-R2, 5'-CTGTGAAGGTTGCTGTTCCTC; and ARA-R3, 5'-CAGCTGAGTCATCCTCGTCCG. The use of three reverse primers allowed for three samples to be assayed simultaneously yet unambiguously, thus improving efficiency. For example, three samples each with 21 CAG repeats would yield fragment sizes of 230, 296, and 420 bp, respectively. PCR products for each of the amplicon sizes and dye colors (6 total fragments) were combined per lane. PAGE analysis was then performed by using an ABI 377 automated sequencer. An internal control of known repeat number was included with each amplification. Raw fragment size was determined by comparison of fragments to the GeneScan500 ROX Size Standard, and an overall correction was made to the internal control by using the GeneScan 3.1.2 and Genotyper 2.0 software packages. Five samples from each amplicon size were randomly selected for verification by direct sequencing of the repeat region by using an ABI 3700 automated fluorescent sequencer. Once allele length was determined; it was converted to CAG repeat number via the following formula: (allele size 221)/3. The median allele length of 287 is equal to 22 CAG repeats.
Body composition. Volunteers from the STORM cohort had their body weight measured to the nearest 0.1 kg on a calibrated balance beam scale. Height was measured to the nearest 0.1 cm after removal of shoes, at the peak of inhalation, using a wall-mounted Harpenden stadiometer (Holtain, Dyved, UK). The average of two height measurements was used, and body mass index was calculated (kg/m2). Whole body soft tissue composition was measured by dual-energy X-ray absorptiometry with the array mode, as previously described (36). Appendicular muscle mass was considered equivalent to the sum of FFM in both the right and left arms and legs. As previously described by Baumgartner et al. (3), both appendicular and total FFM values were made relative to body height squared (kg/m2) to account for the strong correlation among these variables with body size.
For volunteers from the BLSA cohort, body weight and height were measured for each subject to the nearest 0.1 kg and 0.5 cm, respectively, using a medical beam scale, and body mass index was calculated (kg/m2). Assessment for total body fat and FFM was also assessed by dual-energy X-ray absorptiometry, using previously described methods (26), and relative FFM (kg/m2) was calculated.
Muscle strength testing. For the STORM cohort, grip and knee extensor strength were measured by using the Bodymaster Isometric Dynamometer (Dublin, CA) and Jackson Evaluation System (Lafayette Instrument), as previously described (36). Participants had one practice trial and two trials on each leg. Each trial consisted of 4 s of contraction, with force measurements recorded during the last 3 s.
For the BLSA cohort, peak torque (strength) was measured by using the Kinetic Communicator isokinetic dynamometer (Kin-Com model 125E, Chattanooga Group, Chattanooga, TN). Concentric and eccentric peak torque were measured at angular velocities of 0.52 rad/s (30°/s) and 3.14 rad/s (180°/s) for the dominant knee extensors. For each test, subjects performed three maximal efforts, separated by 30-s rest intervals, from which the highest value of the three trials was accepted as the peak torque. Detailed procedures regarding subject positioning and stabilization, warm-up, testing order, gravity correction, and Kin-Com calibration are described elsewhere (26, 28).
Testosterone. For the STORM cohort, blood samples were obtained in the morning between 0700 and 1000, after an overnight fast. Samples were stored at 70°C. Total testosterone was measured by RIA after extraction and purification by LH-20 column chromatography. Bioavailable testosterone was determined by ammonium sulfate precipitation process that separates the sex hormone-binding globulin (SHBG)-bound steroid and free steroid. Serum samples were incubated in [3H]testosterone. SHBG was precipitated by the addition of ammonium sulfate at a concentration of 50% saturated. The samples were centrifuged, and aliquots of the supernatant containing the "non-SHBG-bound" steroid were used for scintillation counting. The bioavailable testosterone concentration was then derived from the product of the total serum testosterone and the percent non-SHBG-bound steroid determined from the separation procedure.
For the BLSA cohort, blood samples were obtained in the morning between 0700 and 0930, after an overnight fast. Before 1992, samples were stored at 20°C. Samples collected after 1992 were kept at 80°C. Total testosterone levels were determined, in duplicate, by using 125I doubled-antibody RIA kits obtained from Diagnostic Systems Laboratories (Webster, TX). Complete details are described elsewhere (17).
Physical activity. STORM participants completed a self-administered questionnaire, which was reviewed with each participant in the clinic by a trained interviewer. Physical activity was measured by using a modified Paffenbarger scale (31) in which subjects reported the frequency and duration of their participation per week during the past year in 33 different physical activities. The activities were assigned energy expenditures, according to previously reported methods (32), and total physical activity, expressed in kilocalories expended per day, was calculated by summing the kilocalories expended in the 33 recreational activities.
Physical activity was estimated for each of the BLSA participants using self-reported time spent in 97 activities, as has been previously reported (41, 48). Physical activity was quantified into metabolic equivalent-minutes based on the metabolic equivalent of each particular activity and the time spent in that activity, normalized to 24 h.
Statistics.
Subjects were grouped according to the number of AR CAG repeats, based on the median value in both cohorts, which resulted in the most balanced grouping. Thus individuals were grouped as harboring repeat lengths of <22 (i.e., short allele) or
22 CAG repeats (i.e., long allele). Only females homozygous for a short allele or homozygous for a long allele at the X chromosome locus were included in the analysis; females carrying both a short allele and a long allele were excluded.
Subject characteristics were analyzed by using t-tests between the two repeat-length groups. Dependent variables (FFM and testosterone variables) were analyzed by using analysis of covariance for both cohorts. For the STORM cohort, age, body fat mass, height, and physical activity were significant covariates for the analysis of FFM variables, with appendicular FFM used as an additional covariate for the analysis of muscle strength. Multivariate regression models were also performed in the STORM cohort to test for the association of AR CAG repeat number as a continuous variable. In addition, analyses were performed by using approximate tertiles of repeat number for the analysis of testosterone data in the STORM cohort. For the BLSA cohort, AR repeat length and sex were used as independent variables, with age, height, and physical activity included as significant covariates for all analyses, with FFM used as an additional covariate for the analysis of strength variables. Analyses were also performed by using repeat number as a continuous variable in multivariate regression models, and age x genotype interaction was tested in these models. Data are reported as least squares means ± SE, with statistical significance accepted at P
0.05. Analyses were performed by using SPSS 11.0 analysis software.
| RESULTS |
|---|
|
|
|---|
22; 59.2%). No significant differences existed by AR CAG repeat number for any physical characteristic. No significant differences were observed in appendicular muscle mass or relative appendicular muscle mass (kg/m2) by AR repeat number. Contrary to our hypothesis, however, men with
22 repeats exhibited significantly greater total FFM (59.2 ± 0.3 vs. 58.0 ± 0.4 kg; P < 0.027) and greater relative total FFM (19.8 ± 0.1 vs. 19.4 ± 0.1 kg/m2; P < 0.019) than men with <22 repeats. Similar results were observed in regression models with AR repeat number modeled as a continuous variable (data not shown; P = 0.0290.050), with r2 values for repeat length of 0.8% for both total FFM and relative total FFM. No significant differences were observed for muscle strength values between AR repeat groups (Table 2).
|
|
22 repeats (61 men and 38 women; 49.1%). Women heterozygous for one short and one long allele were not included in the analysis. No significant differences existed between the two repeat groups for any physical characteristic. Similar to the STORM cohort and contrary to our hypothesis, men with
22 repeats exhibited significantly greater FFM (57.2 ± 1.1 vs. 53.8 ± 1.1 kg; P = 0.047) and relative FFM (18.7 ± 0.3 vs. 17.8 ± 0.3 kg; P = 0.050) than men with fewer repeats. There were no significant differences observed for women. No significant differences were observed in muscle strength between AR repeat groups for either men or women (Table 4).
|
|
In the BLSA cohort, testosterone data were available for 163 male subjects. Ninety-one men grouped in the
22 repeat group exhibited significantly higher levels of total testosterone than the <22 repeat group when adjusted for age (17.32 ± 3.57 vs. 15.64 ± 4.26 nmol/l; P = 0.003). Moreover, a significant age-by-genotype interaction (P = 0.023; Fig. 1) was observed, such that the
22 repeat group demonstrated higher testosterone levels than the <22 repeat group in older men but not younger men.
|
| DISCUSSION |
|---|
|
|
|---|
22), in both of two independent cohorts, exhibited significantly greater total FFM and relative total FFM than men with fewer CAG repeats (<22). A similar association was not observed in women. Although the mechanism underlying the observed association requires further study, we observed higher testosterone levels in men with longer alleles, consistent with our findings of greater FFM among individuals with longer alleles. These findings, if verified, may have important implications for the prevention of sarcopenia and frailty in aging adults.
The association between AR CAG repeat number and FFM was in the opposite direction of our a priori hypothesis. Numerous reports have shown that a greater number of CAG repeats in the human AR gene causes a linear decrease in receptor transactivation function (6, 7, 20, 43). Thus we hypothesized that more CAG repeats would result in reduced activity of the androgen-AR pathway, with negative consequences for muscle mass. One possible explanation for our results is that a reduction in AR activity in the long allele length group modulates the level of negative feedback on the hypothalamic-pituitary-testicular axis, thus resulting in higher serum androgen levels. Higher testosterone levels have been associated with higher AR CAG repeat number in some, but not all, studies (22, 29, 47). For example, Krithivas et al. (22) reported in a longitudinal study of aging in older men that testosterone levels, while similar at baseline regardless of CAG repeat number, were significantly higher at follow up in men with higher CAG repeat number compared with men with fewer CAG repeats. These results are consistent with our cross-sectional results in the BLSA cohort, where a significant gene-by-age interaction was observed, such that older but not younger men in the
22 CAG repeat group exhibited higher testosterone levels compared with the men with <22 repeats. Krithivas et al. suggest that greater AR CAG repeat number decreases AR activity in the hypothalamus, resulting in decreased negative feedback, thereby increasing serum androgen levels. This effect on testosterone, albeit modest, would be genetically mediated and thus could have an impact on muscle over the lifespan. This suggestion is consistent with the findings of the present study, in which we observed higher levels of total testosterone as well as significantly greater total FFM and relative total FFM in men with greater repeat number compared with those with fewer repeats. Whether higher testosterone levels have a direct or indirect effect on muscle is uncertain and cannot be determined from the present study. The influence of testosterone on muscle mass may be indirect and mediated via an antiglucocorticoid effect (9, 10, 21), helping to diminish glucocorticoid-induced atrophy. For example, Danhaive and Rousseau (10) showed in rats that testosterone antagonizes the catabolic activity of endogenous glucocorticoids.
While we observed consistent associations between AR CAG repeat number and FFM in men from two independent cohorts, we did not observe a similar association in women from the BLSA cohort. Our study was underpowered to specifically address sex differences in the association between the CAG repeat polymorphism and FFM, so this observation will require verification. Moreover, the study of the AR gene in women is complicated by the presence of two copies of the AR gene (i.e., two X chromosomes), one of which is randomly inactivated in each cell during development (25). Recent research has shown that both premenopausal and postmenopausal women with relatively few CAG repeats in the AR gene displayed higher levels of serum androgens than women with a greater number of CAG repeats (16, 49), findings opposite of what we observed in men in the present study. Whether the CAG repeat polymorphism has different actions and consequences in men compared with women is unclear, and additional work in this area is warranted.
The present results add the AR gene to a small but growing list of genes that have been tentatively identified as contributing to interindividual variation in skeletal muscle phenotypes, with anticipated future clinical significance for a variety of muscle-wasting conditions, especially sarcopenia. Not only will the importance of all of these genes need to be confirmed, but the interactions among them will also need to be examined. Moreover, for genes with a verified influence on muscle, potential interactions with therapeutic strategies (e.g., strength training or hormonal therapy) will need to be explored, as the ultimate goal of this research is to allow for optimization of individual prescriptions for maintaining muscle function throughout the age span.
In summary, we present data showing a significant association between AR CAG repeat number and FFM in men with corresponding differences in testosterone levels. Confirmation of the observed associations between AR CAG repeat number, testosterone levels, and FFM, as well as additional exploration of the mechanisms underlying these findings, is warranted.
| GRANTS |
|---|
|
|
|---|
| FOOTNOTES |
|---|
The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
| REFERENCES |
|---|
|
|
|---|
gene are associated with androgen levels in women. J Clin Endocrinol Metab 86: 25622568, 2001.This article has been cited by other articles:
![]() |
N. A. Shah, H. J. Antoine, M. Pall, K. D. Taylor, R. Azziz, and M. O. Goodarzi Association of Androgen Receptor CAG Repeat Polymorphism and Polycystic Ovary Syndrome J. Clin. Endocrinol. Metab., May 1, 2008; 93(5): 1939 - 1945. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. J. Prior, S. M. Roth, X. Wang, C. Kammerer, I. Miljkovic-Gacic, C. H. Bunker, V. W. Wheeler, A. L. Patrick, and J. M. Zmuda Genetic and environmental influences on skeletal muscle phenotypes as a function of age and sex in large, multigenerational families of African heritage J Appl Physiol, October 1, 2007; 103(4): 1121 - 1127. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Crabbe, V. Bogaert, D. De Bacquer, S. Goemaere, H. Zmierczak, and J. M. Kaufman Part of the Interindividual Variation in Serum Testosterone Levels in Healthy Men Reflects Differences in Androgen Sensitivity and Feedback Set Point: Contribution of the Androgen Receptor Polyglutamine Tract Polymorphism J. Clin. Endocrinol. Metab., September 1, 2007; 92(9): 3604 - 3610. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Walsh, E. J. Metter, L. Ferrucci, and S. M. Roth Activin-type II receptor B (ACVR2B) and follistatin haplotype associations with muscle mass and strength in humans J Appl Physiol, June 1, 2007; 102(6): 2142 - 2148. [Abstract] [Full Text] [PDF] |
||||
![]() |
B Lapauw, S Goemaere, P Crabbe, J M Kaufman, and J B Ruige Is the effect of testosterone on body composition modulated by the androgen receptor gene CAG repeat polymorphism in elderly men? Eur. J. Endocrinol., March 1, 2007; 156(3): 395 - 401. [Abstract] [Full Text] [PDF] |
||||
![]() |
A M Solomon and P M G Bouloux Modifying muscle mass - the endocrine perspective. J. Endocrinol., November 1, 2006; 191(2): 349 - 360. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. A. Albertelli, A. Scheller, M. Brogley, and D. M. Robins Replacing the Mouse Androgen Receptor with Human Alleles Demonstrates Glutamine Tract Length-Dependent Effects on Physiology and Tumorigenesis in Mice Mol. Endocrinol., June 1, 2006; 20(6): 1248 - 1260. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. M. Clarkson, J. M. Devaney, H. Gordish-Dressman, P. D. Thompson, M. J. Hubal, M. Urso, T. B. Price, T. J. Angelopoulos, P. M. Gordon, N. M. Moyna, et al. ACTN3 genotype is associated with increases in muscle strength in response to resistance training in women J Appl Physiol, July 1, 2005; 99(1): 154 - 163. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Visit Other APS Journals Online |