Is there any association between leptin levels and bone mineral density in haemophiliac men?

Abstract

Introduction

Conflicting data exist regarding the role of leptin in bone metabolism. The purpose of the present study was to investigate serum leptin concentrations in male patients with haemophilia A and B, a disease known to be associated with low bone mass.

Material and methods

Eighty-one male patients, aged 45.4 ±15 years, were screened. Bone mineral density (BMD) was measured by dual-energy X-ray absorptiometry (DXA) in lumbar spine (LS), femoral neck (FN) and total hip (TH).

Results

Low bone mass was diagnosed in 20 patients (24.7%). Serum leptin concentrations were strongly associated with body weight (r _s = 0.457, p = 0.0001) and body mass index (BMI) (r _s = 0.491, p = 0.0001). In unadjusted analysis leptin was inversely associated with BMD in LS (r _s = –0.255, p = 0.023), but not in FN and TH (r _s = –0.205, p = 0.068 and r _s = –0.191, p = 0.090, respectively). However, after adjusting for BMI and body weight, leptin was inversely associated with BMD in FN (F _1,76 = 7.727, p = 0.007, β = –0.371, ΔR ² = 0.089) and TH (F _1,76 = 4.533, p = 0.036, β = –0.290, ΔR ² = 0.054), but not in LS (F _1,75 = 2.076, p = 0.154, β = –0.202, ΔR ² = 0.026). No association was found between age, presence of HBV, HCV or HIV infection or alkaline phosphatase and leptin levels.

Conclusions

Our study showed a negative association between circulating leptin levels and bone mass in males, independently of body weight and BMI.

Introduction

Haemophilia A and B are congenital bleeding disorders resulting from deficiency in blood coagulation factors VIII (fVIII) and IX (fIX), respectively. They are characterized by intra-articular bleeding which leads to severe arthropathy [1]. Haemophilia A and B have been associated with increased incidence of bone disease (osteopenia or osteoporosis), about 67-86% in a few studies [2–6]. Prolonged immobilization, avoidance of weight-bearing physical activity during childhood or adolescence, as well as comorbid infections (hepatitis C virus (HCV) and human immunodeficiency virus (HIV)) are proposed to be the main factors contributing to the pathogenesis of bone disease in haemophilia [2–6].

The protective effect of obesity on bone is well known [7]. Many mechanisms for this interaction have been proposed, such as obesity-related mechanical loading, increased aromatization of estrogens to androgens in adipose tissue, decreased levels of sex hormone binding globulin, and high levels of insulin observed in obese subjects, which may act as a mitogenic factor on osteoblasts [7]. However, all these mechanisms are not completely elucidated, since they have not been confirmed in all studies [8].

A potential candidate providing a more uniform explanation for the link between obesity and osteoporosis may be leptin. Leptin is the product of the ob gene, secreted mainly by white adipose tissue. It constitutes a 14-kDa protein and is strongly correlated with body fat mass, being elevated in obese subjects. Leptin acts at the hypothalamus level, suppressing food intake and stimulating energy expenditure [9, 10]. Apart from its role in the body's energetic status, leptin may interfere in many endocrine functions (such as secretion from anterior pituitary, ovaries, testis, thyroid and adrenal glands), may act as a growth factor and may also attenuate adipocyte differentiation and lipid accumulation [8]. It exerts these properties through highly specific receptors which have been detected in many tissues, such as haemopoietic precursor cells, placenta and several fetal tissues, adipocytes, lung tissue and jejunum [8].

Furthermore, several lines of evidence support a key role of leptin in bone metabolism. Indeed, in vivo and in vitro studies have shown that leptin promotes the osteoblastic differentiation of bone marrow stromal cells (attenuating reciprocally their differentiation to adipocytes) [11], inhibits the apoptosis of osteoblasts [12] and down-regulates the expression of receptor activator of nuclear factor-κB (RANK) ligand (RANKL), which is a key cytokine in osteoclastogenesis [13]. Moreover, peripheral leptin administration in mice genetically deficient in leptin (ob/ob mice) leads to an increase in total trabecular and cortical bone mass [14]. However, these experimental data have not been confirmed in human studies, since conflicting results exist. Some authors have reported positive correlations of leptin with bone mineral density (BMD) in cross-sectional studies [15–18], while others have reported an inverse association [19–22] or no association at all [23–28].

The purpose of the present study was to address the association between serum leptin levels and BMD in males.

Material and methods

Basal clinical and laboratory assessments

This was a cross-sectional study conducted in the Haemophilia Centre of Northern Greece, in Hippokration Hospital of Thessaloniki, from November 2008 to July 2010. The study was approved by the Local Ethics Committee and all the participants gave their informed consent.

Adult patients ≥ 18 years of age suffering from mild to severe haemophilia A or B, with a regular follow-up in our centre, were included. Severe haemophilia was defined when the levels of fVIII or fIX were < 1%, moderate when they were 1-5%, and mild disease was defined when their levels were > 5%.

Eighty-one male patients (73 with haemophilia A and 8 with haemophilia B) with a mean age 45.4 ±15 years (range 20-74 years) were screened. Fifteen patients (18.5%) were suffering from severe haemophilia, 17 (21%) from moderate and 49 (60.5%) from mild disease. Three patients (4%) were suffering from HBV, 36 (44.4%) from HCV and 4 (5%) from HIV infection, on antiviral therapy.

Patients were given a brief questionnaire categorizing their physical activity. More specifically, unrestricted school/work and recreational activities were scored as 5, while inability to participate in recreation due to pain, loss of motion or weakness and requirement of assistance from another person for school/work/self-care was scored as 1 [5] (Table I). Baseline assessment included individual and family history (focusing on conditions or medications related to secondary osteoporosis, such as physical activity, current smoking, alcohol use, calcium intake, previous fracture, use of corticosteroids, rheumatoid arthritis, hypogonadism, thyroid disease and history of parental hip fracture or osteoporosis), physical examination and body mass index (BMI) calculation (body weight (kg))/(height (m)²).

Table I.

Activity questionnaire

Self-reported activity level	Score
Unrestricted school/work and recreational activities	5
Full school/work with limited recreational activity levels due to pain, loss of motion or weakness	4
Limited school/work and recreational activity levels due to pain, loss of motion or weakness	3
Limited school/work, recreational activity levels and self-care activity levels due to pain, loss of motion or weakness	2
Inability to participate in recreation due to pain, loss of motion or weakness and requirement of assistance from another person for school/work/self-care	1

US Department of Health and Human Services, Centers for Disease Control and Prevention, Universal Data Collection, Annual Visit Form, November 2002, pg 5. (reference 5)

Morning (8-9 AM) fasting blood samples were obtained from all participants. The patients underwent the following blood tests: fVIII or fIX activity levels and inhibitor titres, basal biochemical examination (including serum creatinine, total calcium, albumin, phosphorus, alkaline phosphatase (ALP), aspartate transaminase, alanine transaminase, total (direct/indirect) bilirubin and prothrombin time) and serological screening for hepatitis B virus (HBV), HCV and HIV, with viral loads if screened positive. Serum was immediately centrifuged and stored at –30°C for the measurement of leptin, which was performed by enzyme-linked immunosorbent assay (ELISA), (Mercodia, Uppsala, Sweden), according to the manufacturer's instructions.

Assessment of haemophilic arthropathy

Plain radiographs of both knees and ankles, as well as any other joint affected by haemophilic arthropathy, were obtained by all patients and were examined by 2 expert radiologists. Two different score systems were used for this purpose: the Pettersson score (normal joints are scored as 0 and the highest score possible for a joint is 13) [29] and the Arnold-Hilgartner classification system (normal joint score is 0 and the highest is 5) [30] (Tables II and III).

Table II.

Pettersson staging system for haemophilic arthropathy

Finding	Score
Osteoporosis
Absent	0
Present	1
Enlargement of epiphysis
Absent	0
Present	1
Irregularity of subchondral surface
Absent	0
Slight	1
Pronounced	2
Narrowing of joint space
Absent	0
< 50%	1
> 50%	2
Erosions at joint margins
Absent	0
Present	1
Subchondral cyst formation
Absent	0
1 cyst	1
> 1 cysts	2
Incongruence between joint surfaces
Absent	0
Slight	1
Pronounced	2
Deformity
Absent	0
Slight	1
Pronounced	2

Table III.

Arnold-Hilgartner classification system

Findings	Stage
Normal joint	0
No skeletal abnormalities, soft tissue swelling present	1
Osteoporosis and overgrowth of epiphysis; no erosions; no narrowing of cartilage space	2
Early subchonrdal bone cysts; squaring of the patella; intercondylar notch of distal femur or humerus widened; cartilage space remains preserved	3
Findings of stage 3 more advanced; cartilage space narrowed	4
Fibrous joint contracture; loss of joint cartilage space; marked enlargement of the epiphysis and substantial disorganization of the joint	5

Bone densitometry

Bone mineral density was assessed by dual-energy X-ray absorptiometry (DXA), which is the most widely used method [31]. DXA of lumbar spine (LS) (L1-L4), left femoral neck (FN) and total hip (TH) were performed by a single experienced operator. Right FN was chosen if the left one was affected by severe arthropathy or when arthroplasty had been performed. The areal BMD in grams per square centimetre (g/cm²) of the anteroposterior projections of DXA was measured by a Challenger Envision osteodensitometer (Diagnostic Medical System, Montpellier, France) in Hippokration Hospital of Thessaloniki. For patients > 50 years of age, T-score values between –1 and –2.5 standard deviations (SD) were defined as osteopenia, while values below –2.5 SD were defined as osteoporosis, according to the criteria for the definition of osteoporosis in males by the International Society of Clinical Densitometry and the World Health Organization (WHO) [32]. For patients < 50 years, a Z-score of < –2 SD or lower was defined as “below the expected range for age”, according to the previous criteria [32]. Thus, decreased BMD was defined either as osteopenia/osteoporosis for patients > 50 years or as a Z-score < –2 for those younger than 50 years of age.

Bone mineral density was also measured in age-matched healthy males without a reported cause or severe risk factor for secondary osteoporosis, who served as controls. They were from the same geographical region as the patients, in order to obtain more accurate results. They gave their informed consent and their screening was approved by the ethical committee. They were not infected by HBV, HCV or HIV. There was no restriction in their physical activity.

Statistical analysis

Statistical analyses were performed with the Statistical Package for the Social Sciences (SPSS) for Windows (version 17.0). All statistical tests were two-tailed; p-values < 0.05 were considered statistically significant. Based on the distribution of data (checked by Kolmogorov-Smirnov test and Shapiro-Wilk test) non-parametric statistics were used. Descriptive statistics of demographic and clinical data are represented as frequencies, percentages, means, SDs and minimum and maximum values.

Preliminary analyses examined the associations between bone disease and age, BMI, ALP, number of affected joints, degree of physical activity, severity of haemophilia or haemophilic arthropathy scores and HBV/HCV/HIV infection, as well as between leptin and presence of HBV/HCV/HIV infection using χ² and Mann-Whitney U-test, as appropriate. Spearman r _s correlation was conducted in order to indicate the association between leptin and BMD in 3 sites, body weight, BMI, age, ALP or severity of arthropathy assessed by the Pettersson score and Arnold-Hilgartner classification system. Finally a series of hierarchical multiple regressions was used to test the predictability of various variables (severity of haemophilia, physical activity, severity of arthropathy) for BMD after controlling for age, BMI, risk factors, number of affected joints and HBV/HCV/HIV.

Results

The patients’ characteristics are presented in Table IV. Low BMD was diagnosed in 20 patients with haemophilia (24.7%), which was significantly higher than its prevalence in controls (20%) (p = 0.001). With respect to the severity of haemophilia, decreased BMD was observed in 27% of those with severe, in 41% of those with moderate and in 18% of those with mild disease. With respect to virus infections, none of the HBV, 10 (28%) of the HCV and 2 (50%) of the HIV patients manifested decreased BMD.

Table IV.

Clinical and biochemical characteristics of haemophiliac patients

Variable	Mean ± SD	Minimum	Maximum
No. of subjects tested	81
Age [years]	45.37 ±15.07	20	74
Height [cm]	175.32 ±7.47	164	200
Body weight [kg]	82.49 ±13.70	56	130
BMI [kg/m2]	26.82 ±4.30	18.82	44.28
BMD lumbar spine [g/cm2]	1.153 ±0.166	0.708	1.626
BMD femoral neck [g/cm2]	0.944 ±0.159	0.560	1.368
BMD total hip [g/cm2]	0.933 ±0.160	0.567	1.339
Number of joints affected	2.79 ±2.16	0	8
Alkaline phospatase [IU/l]	73.41 ±18.41	44	148
Serum leptin in total patients [ng/ml]	9.27 ±9.90	0.05	51.97
Serum leptin in subjects normal BMD [ng/ml] (n = 61)	8.16 ±9.32	0.05	51.97
Serum leptin in subjects with bone disease [ng/ml] (n = 20)	12.61 ±11.05	3.15	44.72

BMI – body mass index, BMD – bone mineral density

The mean leptin levels in the whole cohort were 9.26 ±9.89 ng/ml (range 0.05-51.97). The mean leptin concentration in patients with low bone mass (n = 20) was 12.61 ±11.05 ng/ml (range 3.15-44.72) and in patients with normal BMD (n = 61) was 8.16 ±9.32 ng/ml (range 0.05-51.97). Leptin levels were strongly correlated with body weight (r _s = 0.454, p = 0.0001) and BMI (r _s = 0.491, p = 0.0001). In unadjusted analysis, leptin was inversely associated with BMD in LS (r _s = –0.255, p = 0.023), but not with BMD in FN and TH (r _s = –0.205, p = 0.068 and r _s = –0.191, p = 0.090, respectively). However, after adjusting for BMI and body weight, leptin was no more related to BMD in LS (F _1,75 = 2.076, p = 0.154, β = –0.202, ΔR ² = 0.026), but was negatively associated with BMD in FN (F _1,76 = 7.727, p = 0.007, β = –0.371, ΔR ² = 0.089) and TH (F _1,76 = 4.533, p = 0.036, β = –0.290, ΔR ² = 0.054).

No association was found between age (r _s = 0.008, p = 0.946), presence of HBV, HCV or HIV infection (p = 0.094, p = 0.587, p = 0.783, respectively) or ALP (as a marker of bone formation) and leptin levels (r _s = 0.147, p = 0.210). Furthermore, no association was also found between the severity of arthropathy (assessed by Pettersson score for knees and ankles: r _s = 0.120, p = 0.334, r _s = 0.110, p = 0.375, respectively and with Arnold-Hilgartner classification system: r _s = 0.092, p = 0.461, r _s = 0.226, p = 0.066, respectively) and leptin levels.

Bone mineral density as a nominal variable (defined as normal or low) was positively associated with the level of physical activity (χ²(3) = 55.64, p = 0.001) and inversely with the severity of haemophilia (χ²(2) = 26.96, p = 0.001). No association was found between BMD and the haemophilic arthropathy scores for knees and ankles (with Pettersson score for knees and ankles: U = 324, p = 0.317 and U = 349, p = 0.373 respectively, and with Arnold-Hilgartner classification system: U = 323, p = 0.299 and U = 325, p = 0.206, respectively). In unadjusted analyses, age (p = 0.558), BMI (p = 0.818), number of affected joints (p = 0.55) and ALP levels (p = 0.326) were not associated with BMD. In terms of viral infection, BMD was significantly associated with HIV (χ²(1) = 64.8, p = 0.0001), but not with HCV infection (χ²(1) =1.25, p = 0.264). However, the number of patients with HIV infection was too low for safe conclusions. Finally, after controlling for age, BMI, risk factors for osteoporosis (smoking, alcohol, previous fracture, calcium intake, family history of osteoporosis), number of affected joints, HCV, and HIV in hierarchical multiple regressions, only the degree of physical activity (F _1,64 = 8.005, p = 0.006, β = –0.364, ΔR ² = 0.101) appeared to predict BMD.

Discussion

Our study demonstrated a negative association between leptin and BMD, and, in particular, at the femoral neck and total hip sites, independently of body weight and BMI. Few studies have evaluated this association in men. Apart from a positive correlation in the elderly population (68-75 years of age) [17], an inverse association has also been shown in middle aged subjects (47-52 years of age) after adjustment for body weight [19, 20]. Positive [15–18], negative [21, 22] or neutral [23–28] association between BMD and leptin has been observed in women, irrespectively of BMI and menopausal status. Our study's findings are in accordance with those of the largest study conducted so far, which evaluated the association between BMD and leptin, included 5815 adults from the Third U.S. National Health and Nutrition Examination Survey (NHANES III; 1988-1994) and involved both men and premenopausal and postmenopausal women. Despite a positive correlation between leptin and BMD in unadjusted analyses in all groups, after adjusting for BMI, an inverse relationship between leptin and BMD emerged in both men and premenopausal women, while no association was found in postmenopausal ones. The inverse association was more evident for men younger than 60 years old [33].

The reasons for these conflicting results from human studies regarding the association between leptin and BMD are not clear. Perhaps the different size of population, age and ethnicity factors may play a role. Moreover, an indirect effect of leptin on bone mass through testosterone has also been proposed [33]. It is well known that testosterone increases BMD in men [34] and leptin seems to correlate negatively with total and bioavailable testosterone levels [35]. On the other hand, a positive association between leptin and oestrogen has also been described [35]. Apart from women, oestrogen seems to be an important predictor of bone mass in men since it correlates positively with BMD [36]. In a recent case-cohort study in older men (> 65 years), serum oestradiol levels correlated inversely with fracture risk in contrast to testosterone levels [37].

Although most experimental studies indicate a beneficial role of leptin in bone metabolism, there are some studies yielding contradictory results. In particular, some investigators have observed higher trabecular bone mass in ob/ob mice compared with their wild-type littermates and intracerebroventricular administration of leptin in these mice normalizes bone mass [38]. A central anti-osteogenic action of leptin via the sympathetic nervous system has also been described [38]. Remarkably, it seems that the route of leptin administration may also play a role, since peripheral administration induces osteoblastic activity both in mice [14] and humans [39]. A more unifying model suggests that leptin may have a dual action by exerting stimulatory peripheral effects on immature bone cells early in life, thus increasing bone mass, and later in life it displays a central inhibitory effect on bone turnover, counterbalancing its former actions. On the onset of obesity and concomitant leptin resistance, leptin cannot overcome the blood-brain barrier and, thus, its serum levels increase and its peripheral anabolic actions predominate [8].

Emerging evidence also suggests a potential role of leptin in the pathogenesis of osteoarthritis (OA). Notably, leptin has been detected in synovial fluid from joints affected by OA, with its levels correlating positively with BMI and being similar or higher than those measured in serum [40]. Furthermore, marked expression of leptin receptors has been observed in OA cartilage compared with normal one, being also related to the grade of cartilage destruction [40, 41]. Interestingly, intra-articular administration of leptin in rats seems to stimulate chondrocyte activity and expression of several growth factors such as insulin-like growth factor 1 and transforming growth factor-β[40]. Leptin has also been reported to increase proliferation and proteoglycan and collagen synthesis in human chondrocytes [41]. However, its role in OA seems to be more complex, since there is also evidence for a catabolic action on cartilage metabolism [42]. In addition, leptin may act as a proinflammatory agent since it enhances the synthesis of several inflammatory factors implicated in the pathogenesis of OA, such as nitric oxide, prostaglandin E2, interleukin-6 and interleukin 8, thus providing a more plausible mechanism for the pathogenesis of obesity-related OA [43]. Of note, a positive association between serum leptin and hip joint-space narrowing has been reported in older adults with OA [44]. However, we failed to show any association between leptin levels and the degree of haemophiliac arthropathy, assessed by the Pettersson score and the Arnold-Hilgartner classification system.

We found an increased incidence of bone disease (either as osteopenia or osteoporosis) in haemophiliac patients of northern Greece, although lower than previously reported [2–6]. This difference with previous studies may be due to the fact that they included mainly patients with severe haemophilia (reporting a prevalence of > 67%) [2–6]. Another significant reason for the discordant results is the fact that in these studies T-scores were used in all patients irrespectively of their age. Based on the criteria for the definition of osteoporosis in males by the International Society of Clinical Densitometry and the WHO, we used T-scores for patients older than 50 years and Z-scores for those younger than 50 [32]. By using T-scores, the prevalence of bone disease would have been about 50%. The severity of haemophilia and the degree of physical activity were the only factors associated with BMD, which is also in line with these studies [2–6], although after adjusting for possible confounders only the degree of physical activity remained significantly correlated with BMD. However, we did not find any correlation between BMD and age, BMI and HCV-HIV infections, in contrast to most studies [2, 3, 5, 6], although in a recent meta-analysis, low BMD was not associated with BMI and HCV [45].

In conclusion, the present study demonstrated an inverse association between leptin levels and BMD in femoral neck and total hip in male patients with haemophilia A and B, a cohort of patients with increased prevalence of bone disease. This association was independent of body weight and BMI. Furthermore, although intriguing data exist with respect to the role of this hormone in the pathogenesis of OA, we failed to show any association between this hormone and the degree of arthropathy. It is conceivable that the link between fat and bone mass is quite complex and still large, well-designed human studies are warranted to better clarify this interaction.