Literature DB >> 10457273

Biochemical markers of bone turnover and prediction of hip bone loss in older women: the study of osteoporotic fractures.

D C Bauer1, P M Sklarin, K L Stone, D M Black, M C Nevitt, K E Ensrud, C D Arnaud, H K Genant, P Garnero, P D Delmas, H Lawaetz, S R Cummings.   

Abstract

To examine the ability of commercially available biochemical markers of bone formation and resorption to predict hip bone loss, we prospectively obtained serum and timed 2-h urine specimens from 295 women age 67 years or older who were not receiving estrogen replacement therapy. Serum was assayed for two markers of bone formation: osteocalcin (OC) and bone-specific alkaline phosphatase (BALP). Urine specimens were assayed for four markers of bone resorption: N-telopeptides (NTX), free pyridinolines (Pyr), free deoxypyridinoline (Dpyr), and C-telopeptides (CTX). Measurements of hip bone mineral density were made at the time the samples were collected and then repeated an average of 3.8 years later. Higher levels of all four resorption markers were, on average, significantly associated with faster rates of bone loss at the total hip, but not at the femoral neck. Women with OC levels above the median had a significantly faster rate of bone loss than women with levels below the median, but there was no significant association between levels of BALP and hip bone loss. The sensitivity and specificity of higher marker levels for predicting rapid hip bone loss was limited, and there was considerable overlap in bone loss rates between women with high and low marker levels. We conclude that higher levels of urine NTX, CTX, Pyr, Dpyr, and serum OC are associated with faster bone loss at the hip in this population of elderly women not receiving estrogen replacement therapy, but these biochemical markers have limited value for predicting rapid hip bone loss in individuals.

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Keywords:  Non-programmatic

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Year:  1999        PMID: 10457273     DOI: 10.1359/jbmr.1999.14.8.1404

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  39 in total

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Review 2.  An update on biomarkers of bone turnover and their utility in biomedical research and clinical practice.

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3.  On genetic studies of bone loss.

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4.  Prediction of bone loss using biochemical markers of bone turnover.

Authors:  J Lenora; K K Ivaska; K J Obrant; P Gerdhem
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5.  Bone turnover markers are correlated with quantitative ultrasound of the calcaneus: 5-year longitudinal data.

Authors:  J Lenora; P Gerdhem; K J Obrant; K K Ivaska
Journal:  Osteoporos Int       Date:  2008-10-23       Impact factor: 4.507

6.  Reference intervals of bone turnover markers determined by using their curve-fitting valley for adult females in China.

Authors:  X-Y Wu; H Zhang; H Xie; X-H Luo; Y-Q Peng; L-Q Yuan; R-C Dai; Z-F Sheng; X-P Wu; E-Y Liao
Journal:  Osteoporos Int       Date:  2013-07-23       Impact factor: 4.507

7.  Vitamin D, osteoprotegerin/receptor activator of nuclear factor-kappaB ligand (OPG/RANKL) and inflammation with alendronate treatment in HIV-infected patients with reduced bone mineral density.

Authors:  J Natsag; M A Kendall; D E Sellmeyer; G A McComsey; T T Brown
Journal:  HIV Med       Date:  2015-07-16       Impact factor: 3.180

8.  Reference database of biochemical markers of bone turnover for the Japanese female population. Japanese Population-based Osteoporosis (JPOS) Study.

Authors:  Masayuki Iki; Takashi Akiba; Toshio Matsumoto; Harumi Nishino; Sadanobu Kagamimori; Yoshiko Kagawa; Hideo Yoneshima
Journal:  Osteoporos Int       Date:  2004-07-31       Impact factor: 4.507

9.  Prediction of changes in bone mineral density in postmenopausal women treated with once-weekly bisphosphonates.

Authors:  Sherri-Ann M Burnett-Bowie; Kenneth Saag; Anthony Sebba; Anne E de Papp; Erluo Chen; Elizabeth Rosenberg; Susan L Greenspan
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Review 10.  Bone Turnover Markers in the Diagnosis and Monitoring of Metabolic Bone Disease.

Authors:  Matthew B Greenblatt; Joy N Tsai; Marc N Wein
Journal:  Clin Chem       Date:  2016-12-09       Impact factor: 8.327

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