Literature DB >> 33249435

Comparison of Bone Turnover Biomarkers in Serum and Urine Measured on an Automated Analytical Platform.

Brittany M Wilson1, Ryan D Ross1,2, Joshua J Jacobs2, Dale Rick Sumner1,2.   

Abstract

BACKGROUND: Matched serum and urine samples from patients who had total hip replacement were used to assess serum-validated immunoassay reagents for use in urine.
METHODS: Samples were evaluated by an automated electrochemiluminescent immunoassay (cobas e411; Roche Diagnostics) for C-terminal telopeptide of type I collagen isoform β (β-Crosslaps), osteocalcin N-terminal midfragment (N-MID OC), N-terminal propeptide of type I collagen (PINP), and interleukin 6 (IL-6). Spike and recovery experiments were utilized to assess urinary matrix effects. Correlations between serum and both raw and creatinine-corrected urinary measures were assessed. Short-term precision was assessed.
RESULTS: Spike and recovery experiments indicated minimal matrix effects of urine for the β-Crosslaps assay. Potential matrix effects were observed for the other analytes because N-MID OC and IL-6 tended to be slightly overrecovered, whereas PINP was underrecovered. There were strong correlations between serum β-Crosslaps and raw (Spearman ρ [rs] = 0.725, P < 0.0001) and creatinine-corrected (rs = 0.793, P < 0.0001) urinary measures and moderate correlations between serum N-MID OC and raw (rs = 0.582, P < 0.0001) and creatinine-corrected (rs = 0.482, P < 0.0001) urinary measures. PINP was not detected in urine, and no significant serum-urine correlations were found for IL-6. Short-term precision for urinary levels of β-Crosslaps, N-MID OC, and IL-6 were 1.6%, 6.3% and 14.4%, respectively.
CONCLUSIONS: Urinary measurements of β-Crosslaps and N-MID OC assays were correlated with serum measurements and had good short-term precision. Urinary PINP was not detectable. IL-6 can be measured in urine using this technology, but the levels did not correlate with serum levels, and the short-term precision was variable. © American Association for Clinical Chemistry 2020. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Crosslaps; IL-6; PINP; automation; biomarkers; osteocalcin; osteolysis; urine

Mesh:

Substances:

Year:  2021        PMID: 33249435      PMCID: PMC8085578          DOI: 10.1093/jalm/jfaa172

Source DB:  PubMed          Journal:  J Appl Lab Med        ISSN: 2475-7241


  14 in total

Review 1.  Stability: recommendation for best practices and harmonization from the Global Bioanalysis Consortium Harmonization Team.

Authors:  Nico van de Merbel; Natasha Savoie; Manish Yadav; Yoshiaki Ohtsu; Joleen White; Maria Francesca Riccio; Kelly Dong; Ronald de Vries; Julie Diancin
Journal:  AAPS J       Date:  2014-02-19       Impact factor: 4.009

Review 2.  DIAGNOSIS OF ENDOCRINE DISEASE: Bone turnover markers: are they clinically useful?

Authors:  Richard Eastell; Tom Pigott; Fatma Gossiel; Kim E Naylor; Jennifer S Walsh; Nicola F A Peel
Journal:  Eur J Endocrinol       Date:  2017-10-18       Impact factor: 6.664

3.  Implant design affects markers of bone resorption and formation in total hip replacement.

Authors:  Abid A Qureshi; Amarjit S Virdi; Michael L Didonna; Joshua J Jacobs; Koichi Masuda; Wayne P Paprosky; Eugene J M A Thonar; Dale R Sumner
Journal:  J Bone Miner Res       Date:  2002-05       Impact factor: 6.741

Review 4.  Biochemical markers of bone turnover - uses and limitations.

Authors:  Thinn Thinn Hlaing; Juliet E Compston
Journal:  Ann Clin Biochem       Date:  2014-01-07       Impact factor: 2.057

Review 5.  Measurement of C-terminal telopeptide of type I collagen (CTX) in serum.

Authors:  S A Paul Chubb
Journal:  Clin Biochem       Date:  2012-04-06       Impact factor: 3.281

6.  Discovery of biomarkers to identify peri-implant osteolysis before radiographic diagnosis.

Authors:  Ryan D Ross; Youping Deng; Rui Fang; Nicholas B Frisch; Joshua J Jacobs; Dale R Sumner
Journal:  J Orthop Res       Date:  2018-06-05       Impact factor: 3.494

7.  Stability of selected serum hormones and lipids after long-term storage in the Janus Serum Bank.

Authors:  Randi E Gislefoss; Tom K Grimsrud; Lars Mørkrid
Journal:  Clin Biochem       Date:  2014-12-16       Impact factor: 3.281

8.  Multiple osteocalcin fragments in human urine and serum as detected by a midmolecule osteocalcin radioimmunoassay.

Authors:  A K Taylor; S Linkhart; S Mohan; R A Christenson; F R Singer; D J Baylink
Journal:  J Clin Endocrinol Metab       Date:  1990-02       Impact factor: 5.958

9.  Diurnal Variation of Circulating Interleukin-6 in Humans: A Meta-Analysis.

Authors:  Gustav Nilsonne; Mats Lekander; Torbjörn Åkerstedt; John Axelsson; Michael Ingre
Journal:  PLoS One       Date:  2016-11-10       Impact factor: 3.240

10.  A Practical Guide to Immunoassay Method Validation.

Authors:  Ulf Andreasson; Armand Perret-Liaudet; Linda J C van Waalwijk van Doorn; Kaj Blennow; Davide Chiasserini; Sebastiaan Engelborghs; Tormod Fladby; Sermin Genc; Niels Kruse; H Bea Kuiperij; Luka Kulic; Piotr Lewczuk; Brit Mollenhauer; Barbara Mroczko; Lucilla Parnetti; Eugeen Vanmechelen; Marcel M Verbeek; Bengt Winblad; Henrik Zetterberg; Marleen Koel-Simmelink; Charlotte E Teunissen
Journal:  Front Neurol       Date:  2015-08-19       Impact factor: 4.003

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