Literature DB >> 25678728

Harmonised Australian Reference Intervals for Serum PINP and CTX in Adults.

Samuel D Vasikaran1, Sa Paul Chubb2, Peter R Ebeling3, Nicole Jenkins4, Graham Rd Jones5, Mark A Kotowicz6, Howard A Morris7, Hans-Gerhard Schneider8, Markus J Seibel9, Greg Ward10.   

Abstract

Bone turnover markers (BTMs) are classified as either formation or resorption markers. Their concentrations in blood or urine of adults are considered to reflect the rate of bone remodelling and may be of use in the management of patients with bone disease. Major inter-method differences exist for BTMs, and harmonisation of methods is currently being pursued at an international level. Based on published data, this article describes age- and sex-specific Australian consensus reference intervals for adults for serum procollagen type I amino-terminal propeptide (s-PINP) and serum β-isomerised carboxy-terminal cross-linking telopeptide of type I collagen (s-CTX).

Entities:  

Year:  2014        PMID： 25678728      PMCID： PMC4310062     

Source DB:  PubMed          Journal:  Clin Biochem Rev        ISSN： 0159-8090


  42 in total

1.  Comparison of total and intact aminoterminal propeptide of type I procollagen assays in patients with breast cancer with or without bone metastases.

Authors:  Lauri Marin; Marja-Kaisa Koivula; Arja Jukkola-Vuorinen; Aila Leino; Juha Risteli
Journal:  Ann Clin Biochem       Date:  2011-07-06       Impact factor: 2.057

2.  Bone turnover markers in Spanish adult men The Camargo Cohort Study.

Authors:  José M Olmos; José L Hernández; Josefina Martínez; Emilio Pariente; Javier Llorca; Jesús González-Macías
Journal:  Clin Chim Acta       Date:  2010-06-18       Impact factor: 3.786

3.  Reference intervals of bone turnover markers in healthy premenopausal women: results from a cross-sectional European study.

Authors:  Richard Eastell; Patrick Garnero; Christine Audebert; David L Cahall
Journal:  Bone       Date:  2012-02-12       Impact factor: 4.398

4.  Characterization of urinary degradation products derived from type I collagen. Identification of a beta-isomerized Asp-Gly sequence within the C-terminal telopeptide (alpha1) region.

Authors:  C Fledelius; A H Johnsen; P A Cloos; M Bonde; P Qvist
Journal:  J Biol Chem       Date:  1997-04-11       Impact factor: 5.157

5.  Biochemical markers of bone resorption compared with estimates of bone resorption from radiotracer kinetic studies in osteoporosis.

Authors:  R Eastell; A Colwell; L Hampton; J Reeve
Journal:  J Bone Miner Res       Date:  1997-01       Impact factor: 6.741

6.  Difference between total and intact assays for N-terminal propeptide of type I procollagen reflects degradation of pN-collagen rather than denaturation of intact propeptide.

Authors:  Marja-Kaisa Koivula; Vesa Ruotsalainen; Mikko Björkman; Sini Nurmenniemi; Risto Ikäheimo; Kari Savolainen; Antti Sorva; Juha Risteli
Journal:  Ann Clin Biochem       Date:  2009-11-25       Impact factor: 2.057

7.  Urinary excretion of pyridinoline crosslinks correlates with bone turnover measured on iliac crest biopsy in patients with vertebral osteoporosis.

Authors:  P D Delmas; A Schlemmer; E Gineyts; B Riis; C Christiansen
Journal:  J Bone Miner Res       Date:  1991-06       Impact factor: 6.741

8.  Age-related reference intervals for bone turnover markers from an Australian reference population.

Authors:  N Jenkins; M Black; E Paul; J A Pasco; M A Kotowicz; H-G Schneider
Journal:  Bone       Date:  2013-04-16       Impact factor: 4.398

9.  Utility of type I procollagen propeptide assays for assessing abnormalities in metabolic bone diseases.

Authors:  P R Ebeling; J M Peterson; B L Riggs
Journal:  J Bone Miner Res       Date:  1992-11       Impact factor: 6.741

10.  Direct, enzyme-linked immunoassay for urinary deoxypyridinoline as a specific marker for measuring bone resorption.

Authors:  S P Robins; H Woitge; R Hesley; J Ju; S Seyedin; M J Seibel
Journal:  J Bone Miner Res       Date:  1994-10       Impact factor: 6.741
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  11 in total

1.  No Associations of 25-Hydroxycholecalciferol and Parathyroid Hormone Concentrations with Calcaneal Bone Characteristics in Community-Dwelling Elderly Subjects: A Cross-Sectional Study.

Authors:  A Jungert; M Neuhäuser-Berthold
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

Review 2.  Osteoporosis in South-East Asian Countries.

Authors:  Subashini C Thambiah; Swan Sim Yeap
Journal:  Clin Biochem Rev       Date:  2020-02

3.  The Role of PINP in Diagnosis and Management of Metabolic Bone Disease.

Authors:  Melissa J Gillett; Samuel D Vasikaran; Charles A Inderjeeth
Journal:  Clin Biochem Rev       Date:  2021-02

Review 4.  Circulating markers of bone turnover.

Authors:  Marc G Vervloet; Vincent M Brandenburg
Journal:  J Nephrol       Date:  2017-05-13       Impact factor: 3.902

5.  Combined aerobic and resistance training improves bone health of female cancer survivors.

Authors:  Hawley C Almstedt; Silvie Grote; Joshua R Korte; Stephanie Perez Beaudion; Todd C Shoepe; Sarah Strand; Heather P Tarleton
Journal:  Bone Rep       Date:  2016-09-21

6.  Laboratory aspects and clinical utility of bone turnover markers.

Authors:  Harjit Pal Bhattoa
Journal:  EJIFCC       Date:  2018-07-11

7.  Osteopenia-osteoporosis discrimination in postmenopausal women by 1H NMR-based metabonomics.

Authors:  T A Pontes; A D Barbosa; R D Silva; M R Melo-Junior; R O Silva
Journal:  PLoS One       Date:  2019-05-29       Impact factor: 3.240

8.  Exploring the Relationship of Bone Turnover Markers and Bone Mineral Density in Community-Dwelling Postmenopausal Women.

Authors:  Xu Wei; Yili Zhang; Xinghua Xiang; Menghua Sun; Kai Sun; Tao Han; Baoyu Qi; Yanming Xie; Ranxing Zhang; Liguo Zhu
Journal:  Dis Markers       Date:  2021-04-21       Impact factor: 3.434

9.  Fracture-induced changes in biomarkers CTX, PINP, OC, and BAP-a systematic review.

Authors:  F D Højsager; M S Rand; S B Pedersen; N Nissen; N R Jørgensen
Journal:  Osteoporos Int       Date:  2019-08-24       Impact factor: 4.507

10.  Bone Turnover Markers and Bone Mineral Density to Predict Osteoporotic Fractures in Older Women: A Retrospective Comparative Study.

Authors:  Xiao-Long Qu; Bo Zheng; Tian-Yi Chen; Zong-Rui Cao; Bo Qu; Tao Jiang
Journal:  Orthop Surg       Date:  2019-12-27       Impact factor: 2.071
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