Literature DB >> 28271451

The Utility of Biomarkers in Osteoporosis Management.

Patrick Garnero1.   

Abstract

The measurement of bone turnover markers is useful for the clinical investigation of patients with osteoporosis. Among the available biochemical markers, the measurements of serum procollagen type I N-terminal propeptide (PINP) and the crosslinked C-terminal telopeptide (serum CTX) have been recommended as reference markers of bone formation and bone resorption, respectively. The important sources of preanalytical and analytical variability have been identified for both markers, and precise measurement can now be obtained. Reference interval data for PINP and CTX have been generated across different geographical locations, which allows optimum clinical interpretation. However, conventional protein-based markers have some limitations, including a lack of specificity for bone tissue, and their inability to reflect osteocyte activity or periosteal metabolism. Thus, novel markers such as periostin, sclerostin and, sphingosine 1-phosphate have been developed to address some of these shortcomings. Recent studies suggest that the measurements of circulating microRNAs, a new class of marker, may represent early biological markers in osteoporosis. Bone markers have been shown to be a useful adjunct to bone mineral density for identifying postmenopausal women at high risk for fracture. Because levels of bone markers respond rapidly to both anabolic and anticatabolic drugs, they are very useful for investigating the mechanism of action of new therapies and, potentially, for predicting their efficacy to reduce fracture risk.

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Year:  2017        PMID: 28271451     DOI: 10.1007/s40291-017-0272-1

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  183 in total

1.  FGF-23 is a potent regulator of vitamin D metabolism and phosphate homeostasis.

Authors:  Takashi Shimada; Hisashi Hasegawa; Yuji Yamazaki; Takanori Muto; Rieko Hino; Yasuhiro Takeuchi; Toshiro Fujita; Kazuhiko Nakahara; Seiji Fukumoto; Takeyoshi Yamashita
Journal:  J Bone Miner Res       Date:  2003-12-29       Impact factor: 6.741

Review 2.  Biochemical bone turnover markers in diabetes mellitus - A systematic review.

Authors:  Jakob Starup-Linde; Peter Vestergaard
Journal:  Bone       Date:  2015-02-24       Impact factor: 4.398

Review 3.  The role of bone turnover markers in monitoring treatment in postmenopausal osteoporosis.

Authors:  Pawel Szulc
Journal:  Clin Biochem       Date:  2012-02-04       Impact factor: 3.281

4.  Circulating microRNA Signatures in Patients With Idiopathic and Postmenopausal Osteoporosis and Fragility Fractures.

Authors:  Roland Kocijan; Christian Muschitz; Elisabeth Geiger; Susanna Skalicky; Andreas Baierl; Rainer Dormann; Fabian Plachel; Xaver Feichtinger; Patrick Heimel; Astrid Fahrleitner-Pammer; Johannes Grillari; Heinz Redl; Heinrich Resch; Matthias Hackl
Journal:  J Clin Endocrinol Metab       Date:  2016-08-23       Impact factor: 5.958

5.  Serum Circulating MicroRNAs as Biomarkers of Osteoporotic Fracture.

Authors:  Layla Panach; Damián Mifsut; Juan J Tarín; Antonio Cano; Miguel Ángel García-Pérez
Journal:  Calcif Tissue Int       Date:  2015-07-11       Impact factor: 4.333

6.  Association of serum sclerostin with bone mineral density, bone turnover, steroid and parathyroid hormones, and fracture risk in postmenopausal women: the OFELY study.

Authors:  P Garnero; E Sornay-Rendu; F Munoz; O Borel; R D Chapurlat
Journal:  Osteoporos Int       Date:  2012-04-14       Impact factor: 4.507

7.  A cross-sectional study of bone turnover markers in healthy premenopausal women.

Authors:  Anne E de Papp; Henry G Bone; Michael P Caulfield; Risa Kagan; Anna Buinewicz; Erluo Chen; Elizabeth Rosenberg; Richard E Reitz
Journal:  Bone       Date:  2007-01-24       Impact factor: 4.398

8.  Serum miRNA Signatures Are Indicative of Skeletal Fractures in Postmenopausal Women With and Without Type 2 Diabetes and Influence Osteogenic and Adipogenic Differentiation of Adipose Tissue-Derived Mesenchymal Stem Cells In Vitro.

Authors:  Ursula Heilmeier; Matthias Hackl; Susanna Skalicky; Sylvia Weilner; Fabian Schroeder; Klemens Vierlinger; Janina M Patsch; Thomas Baum; Eleni Oberbauer; Iryna Lobach; Andrew J Burghardt; Ann V Schwartz; Johannes Grillari; Thomas M Link
Journal:  J Bone Miner Res       Date:  2016-09-26       Impact factor: 6.741

9.  Early changes in biochemical markers of bone formation during teriparatide therapy correlate with improvements in vertebral strength in men with glucocorticoid-induced osteoporosis.

Authors:  P Farahmand; F Marin; F Hawkins; R Möricke; J D Ringe; C-C Glüer; N Papaioannou; S Minisola; G Martínez; J M Nolla; C Niedhart; N Guañabens; R Nuti; E Martín-Mola; F Thomasius; J Peña; C Graeff; G Kapetanos; H Petto; A Gentzel; A Reisinger; P K Zysset
Journal:  Osteoporos Int       Date:  2013-06-06       Impact factor: 4.507

Review 10.  XenomiRs and miRNA homeostasis in health and disease: evidence that diet and dietary miRNAs directly and indirectly influence circulating miRNA profiles.

Authors:  Kenneth W Witwer
Journal:  RNA Biol       Date:  2012-09-01       Impact factor: 4.652

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  19 in total

Review 1.  The Therapeutic Potential of MicroRNAs as Orthobiologics for Skeletal Fractures.

Authors:  Michael Hadjiargyrou; David E Komatsu
Journal:  J Bone Miner Res       Date:  2019-03-28       Impact factor: 6.741

2.  Dietary-Lifestyle Patterns Associated with Bone Turnover Markers, and Bone Mineral Density in Adult Male Distance Amateur Runners-A Cross-Sectional Study.

Authors:  Aleksandra Bykowska-Derda; Magdalena Zielińska-Dawidziak; Magdalena Czlapka-Matyasik
Journal:  Nutrients       Date:  2022-05-13       Impact factor: 6.706

3.  Sex-related differences in bone metabolism in osteoporosis observational study.

Authors:  Kyu Hwan Choi; Jong Ho Lee; Dong Gyu Lee
Journal:  Medicine (Baltimore)       Date:  2021-05-28       Impact factor: 1.817

4.  Bone Turnover Status: Classification Model and Clinical Implications.

Authors:  Alexander Fisher; Leon Fisher; Wichat Srikusalanukul; Paul N Smith
Journal:  Int J Med Sci       Date:  2018-02-01       Impact factor: 3.738

5.  Serum C-C Motif Ligand 11/eotaxin-1 May Serve as a Candidate Biomarker for Postmenopausal Osteoporosis.

Authors:  Wen Wang; Ci-You Huang; Zhuo-Ping Wang; Shan-Shan Xu; Tie-Yong Qian; Yi-Ding Chen; Wei-Guo Wu
Journal:  J Med Biochem       Date:  2019-05-11       Impact factor: 3.402

6.  Altered serum levels of type I collagen turnover indicators accompanied by IL-6 and IL-8 release in stable COPD.

Authors:  Ying-Ying Zeng; Wei-Ping Hu; Yi-Hui Zuo; Xiao-Ru Wang; Jing Zhang
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2019-01-03

7.  MicroRNA Alterations for Diagnosis, Prognosis, and Treatment of Osteoporosis: A Comprehensive Review and Computational Functional Survey.

Authors:  Hai Hu; Xiaodi He; Yazhong Zhang; Rongrong Wu; Jiajia Chen; Yuxin Lin; Bairong Shen
Journal:  Front Genet       Date:  2020-03-03       Impact factor: 4.599

8.  Serum Proteomic Analysis Reveals Vitamin D-Binding Protein (VDBP) as a Potential Biomarker for Low Bone Mineral Density in Mexican Postmenopausal Women.

Authors:  Mayeli M Martínez-Aguilar; Diana I Aparicio-Bautista; Eric G Ramírez-Salazar; Juan P Reyes-Grajeda; Aldo H De la Cruz-Montoya; Bárbara Antuna-Puente; Alberto Hidalgo-Bravo; Berenice Rivera-Paredez; Paula Ramírez-Palacios; Manuel Quiterio; Margarita Valdés-Flores; Jorge Salmerón; Rafael Velázquez-Cruz
Journal:  Nutrients       Date:  2019-11-21       Impact factor: 5.717

9.  Characterization of Dysregulated lncRNA-Associated ceRNA Network Reveals Novel lncRNAs With ceRNA Activity as Epigenetic Diagnostic Biomarkers for Osteoporosis Risk.

Authors:  Meijie Zhang; Luyang Cheng; Yina Zhang
Journal:  Front Cell Dev Biol       Date:  2020-03-31

Review 10.  Potential Biomarkers to Improve the Prediction of Osteoporotic Fractures.

Authors:  Beom Jun Kim; Seung Hun Lee; Jung Min Koh
Journal:  Endocrinol Metab (Seoul)       Date:  2020-03
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