Biochemical Markers as Predictors of Rates of Bone Loss After Menopause

Rogers, Angela; Hannon, R.; Eastell, Richard

doi:10.1359/jbmr.2000.15.7.1398

Cited by 153 publications

(82 citation statements)

References 20 publications

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“…The negative exponential curve has previously been described as the best curve to fit thymic involution in humans 8 and ICR mice, 7 and age-related changes in other biological variables. 21,22 We have also applied this age-related change in thymocyte count in BALB/c mice data published by Sempowski et al 23 and found that this is also the best curve fit model for total thymocyte count (R 2 ¼ 0.943, P ¼ 0.001).…”

Section: Discussionmentioning

confidence: 81%

Age-related thymic involution in C57BL/6J × DBA/2J recombinant-inbred mice maps to mouse chromosomes 9 and 10

Hsu

et al. 2003

Genes Immun

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A comprehensive analysis of initial thymus size and involution rate has not been quantitated for different genetic backgrounds of mice, thus genetic linkage analysis of thymic involution has not been possible. Here, we have used a mathematical method to analyze the age-related decline in thymocyte count in C57BL/6 and DBA/2 mice and have observed that thymic involution could be best fit with a negative exponential curve N(t) ¼ b 0 Â exp(Àb 1 t), where t represents the age (day). This regression model was applied to C57BL/6 Â DBA/2 (B Â D) recombinant inbred strains of mice to identify the genetic loci influencing agerelated thymic involution. There was a dramatic genetic effect of B and D alleles on thymocyte count at young age and the agerelated thymic involution rate. The strongest quantitative trait loci (QTL) influencing the rate of thymic involution were mapped to mouse chromosome (Chr) 9 (D9Mit20 at 62 cM) and Chr 10 (D10Mit61 at 32 cM). The strongest QTLs influencing the initial thymocyte count were mapped to ChrX (DXMit324 at 26.5 cM) and Chr 3 (D3Mit127 at 70.3 cM). The present study suggests that the initial thymus size and the rate of thymic involution may be influenced by a relatively small number of genetic loci.

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Section: Discussionmentioning

confidence: 81%

Age-related thymic involution in C57BL/6J × DBA/2J recombinant-inbred mice maps to mouse chromosomes 9 and 10

Hsu

et al. 2003

Genes Immun

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“…Furthermore, several included studies that assessed both turnover markers and BMD did not observe a correlation between the two [12,13,23,29]. This is not surprising as the assessment of turnover marker concentrations is associated with considerable within-patient variability [41] and they do not always correspond with small changes in BMD [44]. Within the subgroup of the ADOPT trial in whom bone turnover markers were measured, Zinman et al did not observe differences amongst those who fractured and those who did not [17].…”

Section: Discussionmentioning

confidence: 99%

The effect of thiazolidinediones on bone mineral density and bone turnover: systematic review and meta-analysis

2015

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Aims/hypothesis Thiazolidinediones (TZDs) are associated with an increased risk of fracture but the mechanism is unclear. We sought to determine the effect of TZDs on bone mineral density (BMD) and bone turnover markers. Methods PubMed, EMBASE and Cochrane CENTRAL databases were searched from inception until January 2015 for randomised controlled trials comparing TZDs with metformin, sulfonylureas or placebo, and those reporting changes in BMD and/or bone turnover markers. The primary outcome was percentage change in BMD from baseline and results were pooled with random effects meta-analyses. Results In all, 18 trials were included in the primary analyses and another two were included in the sensitivity analyses (n=3,743, 50% women, mean age 56 years, median trial duration 48 weeks). TZDs decreased BMD at the lumbar spine (difference −1.1% [95% CI −1.6, −0.7]; p<0.0001), total hip (−1.0% [−1.4, −0.6]; p<0.0001) and forearm (−0.9% [−1.6, −0.3]; p=0.007). There were statistically non-significant decreases in BMD at the femoral neck (−0.7% [−1.4, 0.0]; p=0.06) and total body (−0.3% [−0.5, 0.0]; p=0.08). Five trials (n=450) showed no statistically significant difference in percentage change in BMD between the TZD group and controls up to 1 year following TZD withdrawal. In 14 trials, the effect of TZD treatment on turnover markers varied considerably between individual studies. Conclusions/interpretation Treatment with TZDs results in modest bone loss that may not be reversed 1 year after cessation of treatment.

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“…Nilas and Christiansen [19] study, which proved the rate of bone loss declines with the increasing menopausal duration. Rogers et al [20] studied 60 postmenopausal women (ages, 49-62 years), 43 of whom had gone through a natural menopause 1-20 years previously and 17 of whom had undergone hysterectomy 3-22 years ago and indicated the higher rates of bone loss in the early postmenopausal period. The results of the present study corroborates with the above findings.…”

Section: Discussionmentioning

confidence: 99%

Influence of years since menopause on bone mineral metabolism in South Indian women

Suresh

Naidu

2006

Indian J Med Sci

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BACKGROUND: Although an increase of bone turnover has been documented at the time of menopause, the subsequent abnormalities of bone resorption and formation in the elder women have not been investigated. AIM: To assess bone turnover among different YSM (years since menopause) groups of postmenopausal women. SETTINGS AND DESIGN: A case control study in a tertiary care hospital. MATERIALS AND METHODS: Forty-seven premenopausal (control) women and 257 postmenopausal women were included in this study. Based on YSM, the postmenopausal women were divided into four groups namely, 1-5 YSM (n=82), 6-10 YSM (n=77), 11-15 YSM (n=58) and >15 YSM (n=40). The levels of calcium, phosphorus, total alkaline phosphatase, FSH, LH, estradiol, intact-paratharmone and 25-hydroxy vitamin D in serum and urine levels of calcium, phosphorus and bone resorption marker calcium/creatinine(Ca/Cre) ratios were analyzed in all subjects. STATISTICAL ANALYSIS USED: One way ANOVA followed by Duncan's multiple range test. RESULTS: Significantly increased levels of FSH (P<0.001) and declined levels of urine calcium (P=0.015) and Ca/Cre ratios (P=0.006) were observed in >15 YSM group over 1-5 and 6-10 YSM groups. An inverse correlation was observed between serum FSH levels and urine Ca/Cre ratios (r = -0.655, P<0.001) in >15 YSM group. Comparable deficient estradiol levels were observed in all YSM groups. CONCLUSIONS: The risk of bone resorption is greater in early years than late years of menopause. The decreased bone resorption risk in late postmenopausal women might be due to increased FSH levels. However, further studies are required to explore this finding.

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Biochemical Markers as Predictors of Rates of Bone Loss After Menopause

Cited by 153 publications

References 20 publications

Age-related thymic involution in C57BL/6J × DBA/2J recombinant-inbred mice maps to mouse chromosomes 9 and 10

Age-related thymic involution in C57BL/6J × DBA/2J recombinant-inbred mice maps to mouse chromosomes 9 and 10

The effect of thiazolidinediones on bone mineral density and bone turnover: systematic review and meta-analysis

Influence of years since menopause on bone mineral metabolism in South Indian women

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