Literature DB >> 9673861

Markers of bone remodelling in metabolic bone disease.

M C de Vernejoul1.   

Abstract

New specific markers of bone remodelling have been developed that allow the evaluation of bone formation (plasma levels of osteocalcin and bone alkaline phosphatases) or bone resorption (collagen crosslink levels in urine). These markers can be used to evaluate bone disease. Their best application is currently in renal osteodystrophy, where there is a broad spectrum of bone abnormalities. In patients with this disease, bone markers can obviate the need for bone biopsy. So far, bone alkaline phosphatase is the most sensitive and specific marker for predicting the type of bone disease and therefore for deciding treatment in dialysed patients, although it is not ideal. Bone markers have also allowed a dramatic improvement in the comprehensive approach to bone loss with aging in women. Monitoring of the marked increase in bone turnover, and its persistence, in older women after menopause may help in the design of treatment strategies for osteoporosis. There is some hope that the measurement of urinary levels of collagen crosslinks will help to predict the clinical outcome of osteoporosis with respect to fractures in postmenopausal women. Bone markers could, besides being a measurement of bone density, help to determine the optimal treatment of postmenopausal women. Bone markers could also be used to predict or ascertain the response to treatment of osteoporosis, but few data are currently available to judge the routine usefulness of these new applications.

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Year:  1998        PMID: 9673861     DOI: 10.2165/00002512-199812001-00002

Source DB:  PubMed          Journal:  Drugs Aging        ISSN: 1170-229X            Impact factor:   3.923


  13 in total

1.  Urinary N-telopeptide levels discriminate normal, osteopenic, and osteoporotic bone mineral density.

Authors:  D L Schneider; E L Barrett-Connor
Journal:  Arch Intern Med       Date:  1997-06-09

2.  Can biochemical markers predict bone loss at the hip and spine?: a 4-year prospective study of 141 early postmenopausal women.

Authors:  R W Keen; T Nguyen; R Sobnack; L A Perry; P W Thompson; T D Spector
Journal:  Osteoporos Int       Date:  1996       Impact factor: 4.507

3.  Different effects of bisphosphonate and estrogen therapy on free and peptide-bound bone cross-links excretion.

Authors:  P Garnero; E Gineyts; P Arbault; C Christiansen; P D Delmas
Journal:  J Bone Miner Res       Date:  1995-04       Impact factor: 6.741

4.  Increased bone turnover in late postmenopausal women is a major determinant of osteoporosis.

Authors:  P Garnero; E Sornay-Rendu; M C Chapuy; P D Delmas
Journal:  J Bone Miner Res       Date:  1996-03       Impact factor: 6.741

5.  Different responses of free and peptide-bound cross-links to vitamin D and calcium supplementation in elderly women with vitamin D insufficiency.

Authors:  S Kamel; M Brazier; J C Rogez; O Vincent; M Maamer; G Desmet; J L Sebert
Journal:  J Clin Endocrinol Metab       Date:  1996-10       Impact factor: 5.958

6.  Low bone mass and fast rate of bone loss at menopause: equal risk factors for future fracture: a 15-year follow-up study.

Authors:  B J Riis; M A Hansen; A M Jensen; K Overgaard; C Christiansen
Journal:  Bone       Date:  1996-07       Impact factor: 4.398

7.  Aplastic osteodystrophy without aluminum: the role of "suppressed" parathyroid function.

Authors:  G Hercz; Y Pei; C Greenwood; A Manuel; C Saiphoo; W G Goodman; G V Segre; S Fenton; D J Sherrard
Journal:  Kidney Int       Date:  1993-10       Impact factor: 10.612

8.  Serum pyridinoline as a specific marker of collagen breakdown and bone metabolism in hemodialysis patients.

Authors:  P Ureña; A Ferreira; V T Kung; C Morieux; P Simon; K S Ang; J C Souberbielle; G V Segre; T B Drüeke; M C De Vernejoul
Journal:  J Bone Miner Res       Date:  1995-06       Impact factor: 6.741

9.  Sources of variability in bone mineral density measurements: implications for study design and analysis of bone loss.

Authors:  T V Nguyen; P N Sambrook; J A Eisman
Journal:  J Bone Miner Res       Date:  1997-01       Impact factor: 6.741

10.  Comparison of markers for bone formation and resorption in premenopausal and postmenopausal subjects, and osteoporosis patients.

Authors:  K Kushida; M Takahashi; K Kawana; T Inoue
Journal:  J Clin Endocrinol Metab       Date:  1995-08       Impact factor: 5.958

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  3 in total

1.  Lycopene consumption decreases oxidative stress and bone resorption markers in postmenopausal women.

Authors:  L G Rao; E S Mackinnon; R G Josse; T M Murray; A Strauss; A V Rao
Journal:  Osteoporos Int       Date:  2006-08-29       Impact factor: 4.507

Review 2.  Fast and slow bone losers. Relevance to the management of osteoporosis.

Authors:  S Hough
Journal:  Drugs Aging       Date:  1998       Impact factor: 3.923

3.  Factors Associated with Bone Mineral Density and Bone Resorption Markers in Postmenopausal HIV-Infected Women on Antiretroviral Therapy: A Prospective Cohort Study.

Authors:  Christa Ellis; Herculina S Kruger; Michelle Viljoen; Joel A Dave; Marlena C Kruger
Journal:  Nutrients       Date:  2021-06-18       Impact factor: 5.717

  3 in total

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