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The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 59:1285-1289 (2004)
© 2004 The Gerontological Society of America

Age-Related Femoral Bone Loss in Men: Evidence for Hyperparathyroidism and Insulin-Like Growth Factor-1 Deficiency

Hubert Blain1, Anne Vuillemin2,3, Arielle Blain1, Francis Guillemin2, Nicole De Talance4, Brigitte Doucet5 and Claude Jeandel1,

1 Centre de Gérontologie Clinique Antonin Balmès, CHU Montpellier, France.
2 UPRES EA 3444, Ecole de Santé Publique, Université Henri Poincaré, Nancy, France.
3 Faculté du Sport, Université Henri Poincaré, Nancy, France.
4 Laboratoire de Biologie Cellulaire, Explorations Fonctionnelles Métaboliques, CHU-Brabois, Vandoeuvre-les-Nancy, France.
5 Laboratoire Central de Chimie, Hôpital Central, Nancy, France.

Address correspondence to Dr. Claude Jeandel, Service de Médecine Interne-Gériatrie, Centre de Prévention et de Traitement des Maladies du Vieillissement; 39 avenue Charles Flahault 34295 Montpellier Cedex 5, France. E-mail: c-jeandel{at}chu-montpellier.fr


    Abstract
 Top
 Abstract
 Methods
 Results
 Discussion
 REFERENCES
 
Background. We sought to determine the extent to which the age-related decline of femoral neck (FN) bone mineral density (BMD) might be explained by the age-related change of body composition and biological parameters and the mechanisms by which these factors might influence FN BMD in men.

Methods. The relationships between FN BMD and anthropometric, hormonal, and biochemical parameters and bone turnover markers were studied in 82 men aged 25–86 years.

Results. Age was associated with a decline of FN BMD and osteocalcin (OC), bone alkaline phosphatase (bALP), and urinary C-telopeptide (p <.05). The significant relationship between FN BMD and OC (p <.01) did not remain after adjustment for age. With use of multiple linear regression and adjusting for all significant variables associated with FN BMD in univariate analysis (p <.01) (age, weight, lean and fat mass, height, and levels of dehydroepiandrosterone sulfate, insulin-like growth factor [IGF-1], testosterone, and parathyroid hormone [PTH]), age accounted for 29.5% of FN BMD variance. When age was excluded from the model, PTH accounted for 19.5% and IGF-1 for 10% of the FN BMD variance. Bone turnover markers were significantly intercorrelated, and levels of IGF-1 were positively associated with those of bALP and OC (p <.05).

Conclusions. These results show that age is a strong predictor of FN BMD in men, resulting in a decline of bone remodeling, especially of bone formation. The results also show that, after taking into account anthropometric and other biological factors possibly involved in bone aging, the major part of the effect of age on bone is explained by the age-related increase of PTH and decrease of IGF-1 in men, suggesting that all measures taken to limit these age-related changes may be effective in the prevention of the age-related decline of FN BMD in men.


ALTHOUGH not as common as in women, osteoporosis and its clinical end point of fracture are still significant problems both clinically and economically in men (1,2). Twenty-five percent of all hip fractures occur in men, resulting in increased debility and increased mortality, exceeding that of women (3). Bone mass and density are good surrogate measures of bone strength because bone mineral density (BMD) predicts fracture risk in men (4). After reaching peak bone mass at about age 20–30 years, men maintain a stable bone density before experiencing substantial age-related decrease in femoral neck (FN) BMD (5). Because women have been the main focus of osteoporosis research, much less is known regarding mechanisms of age-related bone loss in men.

A number of anthropometric factors including body weight, lean mass, and fat mass (6) and a number of hormonal and growth factors including parathyroid hormone (PTH) (7), insulin-like growth factor-1 (IGF-1) (8), leptin (9), testosterone (6), estradiol (7), and dehydroepiandrosterone sulfate (DHEA) (10) have been hypothesized to be mediators of the effect of age on bone in men. However, because interactions exist between hormonal factors, growth factors, and body composition (10–15)<--?1-->and because no studies have measured all these factors simultaneously, their respective roles in the age-related decline of FN BMD as well as their mechanisms of action on bone remain to be elucidated in men.

The main objective of this study was to examine the respective roles of age, body composition, and hormonal and nonhormonal factors on FN BMD in healthy men and to examine the relationships between these factors and bone turnover markers.


    METHODS
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 Abstract
 Methods
 Results
 Discussion
 REFERENCES
 
Participants
A total of 82 men aged between 25 and 86 years were recruited in various cultural associations. Included were Caucasian men aged 25 years or older in apparent good health. Excluded were patients with endocrinologic (e.g., hyperthyroidism, Cushing disease, diabetes mellitus) or rheumatologic (e.g., rheumatoid arthritis, ankylosing spondylitis) diseases or those under treatment that could influence BMD (e.g., fluoride, calcium, corticosteroid, vitamin D, calcitonin, anti-vitamin K, diuretic, testosterone, or growth hormone [GH]). Men regularly involved in sport activities that could influence BMD (e.g., weightlifters) or involved in competitive sports for >6 hours per week were not included in the current study. The men were included in the study after providing written informed consent. Eligible participants visited the study center for a clinical examination, an interview for medical history, and biological and BMD measurements. The study was approved by the Ethics Committee of Lorraine County.

Protocol
Blood and 24-hour urine samples were obtained from all volunteers. The participants reported to the laboratory at 9 AM after an overnight fast. Blood and urine samples were collected after a 30-minute rest in the supine position. The blood samples were allowed to clot and then centrifuged; aliquots were stored at –80°C until analyzed. Height and weight measurements to the nearest 0.5 cm and 0.1 kg, respectively, were used to calculate the body mass index (kg/m2). Information on dietary calcium intake was recorded, and measurements of BMD and anthropometry were taken in all volunteers after breakfast.

Biochemical Measurements
Serum intact parathyroid hormone (PTH) was determined by a radioimmunometric assay (CIS Bio International, Gif-sur-Yvette, France) with an intra-assay variation of 4.2% and an interassay variation of 3.4%. Radioimmunoassays using standard techniques were also used to measure serum DHEA (Immunotech S.A., Marseille, France) (intra-assay variation of 4.5%, interassay variation of 7.2%), IGF-1 (Immunotech S.A.) (intra-assay variation of 7.1%, interassay variation of 11.9%), GH (Immunotech S.A.) (intra-assay variation of 0.6%, interassay variation of 13.5%), estradiol (Immunotech S.A.) (intra-assay variation of 6.3%, interassay variation of 6.1%), testosterone (CIS Bio International) (intra-assay variation of 3.8%, interassay variation of 4.8%), and leptin (Linco Research, St. Charles, MO) (intra-assay variation of 3.9%, interassay variation of 4.7%).

Serum osteocalcin (OC) was determined by a radioimmunometric assay (CIS Bio International) with an intra-assay variation of 3.9% and an interassay variation of 6.2%, as was bone alkaline phosphatase (bALP) (tandem-R Ostase; Hybritech, Beckman Coulter, S.A., Paris, France), with an intra-assay variation of 6.7% and an interassay variation of 8.1%. Urine C-telopeptide of type I collagen (CTx) levels were determined by an immunoenzymatic method (Cross-laps EIA; CIS Bio International), with an intra-assay variation of 5.4% and an interassay variation of 8.6%.

Standard colorimetric dry chemical assays were used to measure serum creatinine and total calcium (Synchron Automate CX3; Beckman Coulter). Creatinine clearance was calculated according to the Cockcroft and Gault formula.<--?3-->Serum levels of 25(OH)D and 1,25(OH)2D were determined by an immunoradiometric assay (INCSTAR Corp., Dia-Sorin, Paris, France) with a coefficient of variation of <10%.

Bone Densitometry and Body Composition Measurements
FN BMD (g/cm2) of each participant as well as body composition represented by lean mass and fat mass (kg) were determined by using dual-energy X-ray absorptiometry (Norland XR-26, software version 2.5.2; Norland Corp., Ft. Atkinson, WI). The coefficient of variation for our instrument during measurement on a standard phantom was <1%. FN BMD was measured twice in eight men of various ages, with repositioning between scans, providing a short-term in vivo coefficient of variation of FN BMD, lean mass, and fat mass of <3%.

Statistical Analysis
Standard statistical methods were used to calculate means and standard deviations. The Kolmogorov–Smirnov test was used to test for normal distribution of all data. Associations are given as Pearson correlation coefficients. Multivariate techniques were used to assess the individual contributions of the factors significantly associated with BMD at different sites (p <.1). Final models retained variables at p <.05. The validity of the models was expressed by the multiple R2 coefficient, which represents the part of the variance of the dependent variable explained by the covariates entered into the model. All statistical analyses were performed using the BMDP statistical package (BMDP/Dynamic release 7.0; BMDP Statistical Software; SPSS, Inc., Chicago, IL).


    RESULTS
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 Abstract
 Methods
 Results
 Discussion
 REFERENCES
 
Participant characteristics, BMD values, and biological data for the 82 men involved in the study are shown in Table 1. Increase in age was associated with a significant decrease of FN BMD (r = –.54, p <.001), height, and lean mass. Age was associated with a significant decrease of serum DHEA, IGF-1, testosterone, calcium, OC, bALP, and urinary CTx and with a significant increase of serum PTH (Table 2).


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Table 1. Characteristics of the 82 Men Studied.

 

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Table 2. Correlations with Age and Femoral Neck Bone Mineral Density (BMD).

 
FN BMD was positively associated with height, weight, lean mass, DHEA, IGF-1, and OC and negatively associated with serum levels of PTH. After adjustment for age, FN BMD remained significantly associated with height (r =.24, p <.05) and lean mass (r =.23, p <.05).

After adjustment for age, serum IGF-1 was significantly associated with DHEA (r =.35, p <.001) and GH (r =.44, p <.001). Leptin was the only biological factor associated with body composition (leptin and fat mass: r =.66, p <.001). After adjustment for age, IGF-1 was positively associated with bALP (r =.22, p <.05) and OC (r =.38, p <.001). OC, bALP, and urinary CTx were significantly and positively intercorrelated (OC and bALP [r =.41, p <.001], OC and urinary CTx [r =.57, p <.001], bALP and urinary CTx [r =.39, p <.001]).

With use of multiple linear regression and adjusting for all significant variables associated with FN BMD in the univariate analysis (age, weight, lean mass, DHEA, IGF-1, PTH), age accounted for 29% and lean mass for 4% of FN BMD variance. After adjustment for height, the relationship between FN BMD and lean mass diminished greatly, and age was the only factor associated with hip BMD, accounting for 29.5% of FN BMD variance. When age was excluded from the model, PTH accounted for 19.5% and IGF-1 10% of the variance of FN BMD.


    DISCUSSION
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 Abstract
 Methods
 Results
 Discussion
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The current study shows that, having taken into account anthropometric and other biological factors possibly involved in bone aging, the effect of age on bone in men can mainly be explained by the age-related increase of PTH and decrease of IGF-1.

This study found an expected age-related decline of hip BMD (16,17) and a significant decline of markers of bone formation (bALP and OC) and bone resorption (urine CTx), markers that were observed to be strongly intercorrelated. These results are in agreement with previous studies that showed that biochemical markers decrease in men until at least 60 years of age (5,16,17). FN BMD was associated with OC, but this relationship did not remain after adjustment for age. Taken together, these results support the concept that the age-related decline of FN BMD in men may be accounted for by the age-related decline of bone formation that is coupled with bone resorption (18).

We found a significant negative relationship between FN BMD and serum PTH and significant positive relationships between FN BMD and lean mass (6), IGF-1 (8), DHEA (10), and testosterone (6). To further assess whether these relationships could be explained by the age-related increase of PTH (19) and the age-related decrease of lean mass and other growth and hormonal factors (20), all factors associated with hip BMD were entered into a multiple linear regression. Age and lean mass were the only two factors significantly associated with hip BMD and accounted for 29% and 4% of FN BMD variance, respectively. After adjustment for height, the relationship between FN BMD and lean mass diminished greatly, and only age remained associated with hip BMD. These results show that age is a strong predictor of hip BMD (21) and are consistent with the hypothesis that a part of the relationship between lean mass and hip BMD may be due to an allometric effect (22).

To better assess the respective roles of the age-related changes in body composition and biological factors on hip BMD, age was not entered into the second multivariate model. In this analysis, PTH accounted for 19% and IGF-1 accounted for 10% of FN BMD variance, suggesting that the age-related increase of PTH (7,23) and decrease of IGF-1 (8,16) may explain the major part of the effect of age on FN BMD in men.

The inverse <--?4-->relationship between the calculated creatinine clearance and both age and PTH in the current study reinforces the hypothesis that the age-related decline of renal function may be a major cause of the age-related rise of PTH levels (24). The age-related decline of serum calcium levels and the lack of influence of age on dietary calcium and 25(OH)D<--?5-->in this study support the concept that the age-related decline of calcium absorption may be another major cause of the age-related rise of PTH levels (25). As in previous studies conducted in Europe, we found a high prevalence of serum 25(OH)2D deficiency (<15 ng/mL in 52% of participants) and low calcium intake (<1 g/day in 40% of participants) in our sample of men, suggesting that a sufficient dietary intake of calcium and vitamin D (25[OH]2D) should be encouraged throughout life to prevent secondary hyperparathyroidism in men (26). The lack of a relationship between PTH and bone turnover markers in the current study and others (15) illustrates the complex influence of PTH on bone, which is dependent on the level of vitamin D insufficiency, vitamin D resistance, and renal impairment (27,28).

The age-related decrease of IGF-1 was another significant predictor of FN BMD in our model, and IGF-1 was found to be significantly associated with bALP and OC (16). These results are compatible with the hypothesis that the age-related decline of IGF-1 that parallels the decrease of IGF-1 levels in bone (29) may account for a part of the age-related decline of FN BMD by limiting bone formation (30) coupled with bone resorption (31).

Whereas the effect of age on FN was mostly explained by PTH and IGF-1 levels, the best predictive model in our study and others (23) accounted for only 30% of the observed variability of FN BMD. These findings show that a large part of FN BMD variance is unrelated to age and therefore suggest that others factors such as genetics, environment, and lifestyle certainly have an effect on FN (32–35).

The current study may have practical, clinical, and therapeutic implications as it suggests that all measures taken to limit the age-related increase of PTH, such as those that prevent renal dysfunction and high blood pressure (36) and ensure sufficient sun exposure and calcium and vitamin D intake (37), and all measures taken to limit the age-related decrease of IGF-1, such as those that maintain physical activity (38) and ensure sufficient dietary protein intake (39,40), may be effective in the prevention of the age-related decline of FN BMD in men. In this regard, the findings of the current study support the need for further investigations to assess the efficacy of vitamin D and calcium supplementation, protein supplementation, exercise training, and medications like GH (41) in preventing osteopenia and lowering the rate of hip fracture in selected aging men.

This study should be interpreted in the light of several considerations. First, by excluding men with activities, diseases, or drugs that may have effects on bone metabolism, these results cannot be extrapolated to the general population. Second, this study looked at the correlation between BMD and variables, but correlation does not necessarily imply causation. Third, the results were based on a single serum sample and a single urine measurement, which may underestimate the relationships between the parameters measured and BMD. Finally, these data are cross-sectional and need to be confirmed in a longitudinal study.

Conclusion
The current study showed that, having taken into account anthropometric and other biological factors possibly involved in bone aging, the age-related increase of PTH and the age-related decrease of IGF-1 accounted for most of the effect of age in men on hip BMD, assessed at about 30% of hip BMD total variance. These results suggest that all measures taken to limit the age-related increase of PTH and the age-related decrease of IGF-1 may be effective in the prevention of the age-related decline of FN BMD in men.


    Acknowledgments
 
The authors acknowledge S. L. Salhi, PhD, for editorial assistance.

Received April 1, 2003

Accepted July 10, 2003


    REFERENCES
 Top
 Abstract
 Methods
 Results
 Discussion
 REFERENCES
 

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