Literature DB >> 12367766

Evaluation of bone disease in multiple myeloma: a correlation between biochemical markers of bone metabolism and other clinical parameters in untreated multiple myeloma patients.

Michael G Alexandrakis1, Freda H Passam, Niki Malliaraki, Constantinos Katachanakis, Despina S Kyriakou, Andrew N Margioris.   

Abstract

INTRODUCTION: Multiple myeloma (MM) is characterised by an uncoupled bone formation/resorption process resulting in osteolysis. Osteocalcin (OC) and bone-specific alkaline phosphatase (BAP) are markers of osteoblastic activity, whereas pyridinoline products and the cross-linked aminoterminal of type I collagen (NTx) reflect bone destruction. In this study, these markers were studied in relation to bone disease severity and other clinical parameters of MM activity.
METHODS: Serum calcium, creatinine, CRP, beta 2 microglobulin (b(2)M), M-component, OC, BAP and free urine pyridoline (Pyd) and deoxypyridinoline (Dpd), free urine Dpd and NTx were determined in 38 newly diagnosed MM patients. X-ray examination defined the degree of bone involvement. Patients were classified according to the Durie-Salmon staging system.
RESULTS: NTx, free urine Pyd + Dpd, and free urine Dpd increased with increasing degree of bone involvement. NTx was significantly higher in stages II and III compared to stage I (mean values: 100.7, 163.5 and 208.3 nmol BCE/mM creat, respectively, p < 0.002). Free urine Pyd + Dpd correlated positively with b(2)M and CRP. OC was increased in stages I and II compared to III (p < 0.005) and was inversely correlated with NTx, free urine Pyd + Dpd, and free urine Dpd alone.
CONCLUSIONS: The measurement of bone turnover markers in MM provides significant information regarding disease progression and should be included in the evaluation of MM patients. Copyright 2002 Elsevier Science B.V.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12367766     DOI: 10.1016/s0009-8981(02)00246-2

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  8 in total

1.  Soluble molecules and bone metabolism in multiple myeloma: a review.

Authors:  Gabriele Zoppoli; Enrico Balleari; Riccardo Ghio
Journal:  Clin Cases Miner Bone Metab       Date:  2008-01

2.  Biochemical markers of bone turnover: potential use in the investigation and management of postmenopausal osteoporosis.

Authors:  P Szulc; P D Delmas
Journal:  Osteoporos Int       Date:  2008-07-16       Impact factor: 4.507

3.  Angiogenesis-related cytokines, RANKL, and osteoprotegerin in multiple myeloma patients in relation to clinical features and response to treatment.

Authors:  K Sfiridaki; C A Pappa; G Tsirakis; P Kanellou; M Kaparou; M Stratinaki; G Sakellaris; G Kontakis; M G Alexandrakis
Journal:  Mediators Inflamm       Date:  2011-09-18       Impact factor: 4.711

4.  Computational modeling of interactions between multiple myeloma and the bone microenvironment.

Authors:  Yan Wang; Peter Pivonka; Pascal R Buenzli; David W Smith; Colin R Dunstan
Journal:  PLoS One       Date:  2011-11-08       Impact factor: 3.240

5.  Multiple myeloma: changes in serum C-terminal telopeptide of collagen type I and bone-specific alkaline phosphatase can be used in daily practice to detect imminent osteolysis.

Authors:  Thomas Lund; Niels Abildgaard; Thomas L Andersen; Jean-Marie Delaisse; Torben Plesner
Journal:  Eur J Haematol       Date:  2010-01-13       Impact factor: 2.997

6.  Mathematical modelling of the pathogenesis of multiple myeloma-induced bone disease.

Authors:  Bing Ji; Paul G Genever; Ronald J Patton; Michael J Fagan
Journal:  Int J Numer Method Biomed Eng       Date:  2014-05-09       Impact factor: 2.747

7.  Mathematical modelling of the role of GADD45β in the pathogenesis of multiple myeloma.

Authors:  Yao Zhang; Changqing Zhen; Qing Yang; Bing Ji
Journal:  R Soc Open Sci       Date:  2020-05-13       Impact factor: 2.963

8.  Dietary calcium requirements of broilers fed a conventional corn-soybean meal diet from 1 to 21 days of age.

Authors:  Shiping Bai; Yunfeng Yang; Xuelian Ma; Xiudong Liao; Runlian Wang; Liyang Zhang; Sufen Li; Xugang Luo; Lin Lu
Journal:  J Anim Sci Biotechnol       Date:  2022-02-03
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.