Context: Intermittent PTH treatment stimulates bone formation, but the mechanism(s) of this effect remain unclear. Sclerostin is an inhibitor of Wnt signaling, and animal studies have demonstrated that PTH suppresses sclerostin production. Objective: The objective of the study was to test whether intermittent PTH treatment of postmenopausal women alters circulating sclerostin levels. Design: Prospective study. Setting: The study was conducted at a clinical research unit. Participants and Interventions: Participants included 27 postmenopausal women treated with PTH (1-34) for 14 d and 28 control women. Main Outcome Measures: Serum sclerostin levels were measured. Results: Circulating sclerostin levels decreased significantly in the PTH-treated subjects, from (mean ± SEM) 551 ± 32 to 482 ± 31 pg/ml (−12.7%, P < 0.0001) but did not change in the control women (baseline, 559 ± 34 pg/ml; end point, 537 ± 40 pg/ml, P = 0.207; P = 0.017 for difference in changes between groups). Bone marrow plasma was obtained in a subset of the control and PTH-treated subjects (n = 19 each) at the end of the treatment period, and marrow plasma and peripheral serum sclerostin levels were significantly correlated (R = 0.64, P < 0.0001). Marrow plasma sclerostin levels were 24% lower in PTH-treated compared with control women, but perhaps due to the smaller sample size, this difference was not statistically significant (P = 0.173). Conclusions: Circulating sclerostin levels correlate with bone marrow plasma levels and are reduced by intermittent PTH therapy in postmenopausal women. Further studies are needed to assess the extent to which decreases in sclerostin production contribute to the anabolic skeletal response to PTH.
Relation of vertebral deformities to bone density, structure, and strength
Osteoporosis is an important clinical problem, affecting more than 50% of people over age 50 yr. Estrogen signaling is critical for maintaining proper bone density, and the identification of an endogenous selective estrogen receptor (ER) modulator, 27-hydroxycholesterol (27HC), suggests a mechanism by which nutritional/metabolic status can influence bone biology. With its levels directly correlated with cholesterol, a new possibility emerges wherein 27HC links estrogen and cholesterol signaling to bone homeostasis. In these studies, we found that increasing concentrations of 27HC, both by genetic and pharmacological means, led to decreased bone mineral density that was associated with decreased bone formation and increased bone resorption. Upon manipulation of endogenous estrogen levels, many of the responses to elevated 27HC were altered in such a way as to implicate ER as a likely mediator. In a model of postmenopausal bone loss, some pathologies associated with elevated 27HC were exacerbated by the absence of endogenous estrogens, suggesting that 27HC may act both in concert with and independently from classic ER signaling. These data provide evidence for interactions between estrogen signaling, cholesterol and metabolic disease, and osteoporosis. Patients with high cholesterol likely also have higher than average 27HC, perhaps putting them at a higher risk for bone loss and fracture. More studies are warranted to fully elucidate the mechanism of action of 27HC in bone and to identify ways to modulate this pathway therapeutically.
Effects of chronic estrogen treatment on modulating age-related bone loss in female mice
Abstract In order to characterize an avian parathyroid hormone gene, a λgt10 cDNA library constructed from chicken parathyroid gland mRNA was screened with a human preproparathyroid hormone (preproPTH) cDNA probe. Nucleotide sequence analysis of three independent clones confirmed that they encoded chicken preproPTH. This analysis, complemented by primer extension and Northern blot analysis of mRNA, demonstrated a 5′-untranslated region for chicken preproPTH of 127 nucleotides, a coding region of 357 nucleotides, and a 3′-untranslated region of approximately 2500 nucleotides. The coding sequence predicts a mature chicken PTH of 88 amino acids in contrast to the 84 amino acids of the mammalian hormones. Comparison of the avian and the mammalian hormones shows striking homology in the region of amino acids 1–32. The middle and carboxyl-terminal portions of chicken PTH, however, differ considerably from the mammalian hormones and include deletions of sequences conserved in mammalian PTH and insertions of novel peptide sequences. Comparison of the avian and mammalian structures suggests potential alterations of the mammalian sequences that may lead to altered bioactivity and/or hormone metabolism.
Circulating levels of cytokines that modulate bone resorption: Effects of age and menopause in women
Abstract Interleukin 1αa (IL-1α), interleukin 1β (IL-1β), and interleukin 6 (IL-6) are cytokines with potent bone-resorbing effects; some of these biologic effects are opposed by interleukin-1 receptor antagonist (IL-1ra). In vitro and animal model studies suggest that these cytokines are paracrine mediators of the increased bone resorption associated with estrogen deficiency, and increases in their production also could contribute to age-related bone loss. Therefore, we measured serum concentrations of these cytokines in 80 normal women who were 24-87 years old. IL-6 concentration correlated highly with age (p > 0.001) and increased three-fold during life. However, multiple-regression analysis showed no significant correlation between serum IL-6 levels and menopausal status, serum estradiol concentration, or markers for bone turnover (serum bone alkaline phosphatase, osteocalcin, carboxyl-terminal telopeptide of type I collagen, or 24 h urinary free pyridinoline excretion). Serum IL-1α, IL-1β, or IL-1ra level did not change with age and, by multiple-regression analysis, did not correlate with markers of bone turnover, except IL-1ra weakly with ICTP. We found no relationship between bone-resorbing cytokines and ovarian function. Although the large age-related increase in serum IL-6 concentration could contribute to age-related bone loss, the lack of correlation with markers for bone turnover argues against this. However, based on the strong evidence in experimental animals that these cytokines are involved in estrogen action on bone, further studies in humans are warranted.
Relationship between body composition and bone mass in women
Abstract Increasing body weight is associated both with higher bone mass and with lower rates of bone loss. Whether the effects of body weight are mediated by lean body mass (LBM) or fat body mass (FBM) is, however, uncertain because different studies have used different measures of bone mass and arrived at contradictory conclusions. The parameter actually measured is bone mineral content (BMC). Bone mineral density (BMD), bone mineral apparent density (BMAD), and the BMD/height attempt to “correct” BMC for differences in bone or body size, but these corrections may bias the analysis of the effects of body composition on the skeleton. To resolve this issue, we measured BMC at the total body, lumbar spine, proximal femur, and forearm using dual energy X-ray absorptiometry (DXA) in a population-based sample including 138 premenopausal women (age range 21–54 years, mean 35 years) and 213 postmenopausal women (age range 34–94 years, mean 68 years). BMD, BMAD, and BMD/ height were also calculated for each site. LBM and FBM were determined from the DXA whole body scan. In a multivariate analysis that included age and height, both LBM and FBM predicted total body BMC in pre- and postmenopausal women (p < 0.002 for LBM and FBM in both groups). LBM had a dominant effect on spine and forearm BMC in both groups (p < 0.004) and hip BMC in premenopausal women (p < 0.001), whereas both LBM and FBM predicted hip BMC in postmenopausal women (p < 0.001). However, as BMC was adjusted for bone or body size using BMD, BMAD, or BMD/height, FBM tended to become more important than LBM in the analysis. This was, in part, due to the fact that each of the correction factors in the BMD and BMAD calculations, as well as height, were highly correlated with LBM (r = 0.57 and 0.52 for height versus LBM in pre- and postmenopausal women, respectively [p < 0.001]), and weakly or not at all with FBM (r = 0.08 and 0.11, respectively). Therefore, dividing BMC by these correction factors tended to bias the analysis against potential effects of LBM on bone mass. Thus, the relationship between body composition and bone mass is critically dependent on which bone mass parameter is used in the analysis. Both LBM and FBM have important effects on bone mass, depending on the bone mass parameter used, the skeletal site measured, and menopausal status.