Literature DB >> 27088126

Validation of commercially available ELISAs for the detection of circulating sclerostin in hemodialysis patients.

Sebastian F Mause1, Annika Deck1, Mark Hennies2, Nadine Kaesler3, Pieter Evenepoel4, William A Boisvert5, Ulf Janssen6, Vincent M Brandenburg1.   

Abstract

BACKGROUND: Sclerostin is an endocrine regulator in chronic kidney disease - mineral and bone disorder (CKD-MBD). Validation of assay comparability and pre-analytical handling is mandatory for establishment of sclerostin as a biomarker.
METHODS: Blood samples (serum, EDTA, heparin and citrate plasma) were obtained from 12 hemodialysis (HD) patients after the long dialysis interval. Passing-Bablok regression analysis and Bland-Altman difference plots were used to evaluate the agreement between sclerostin levels measured with two commercially available ELISAs from TECOmedical and Biomedica.
RESULTS: Independent of the sample type, the agreement of the two assays was poor with a strong proportional but no systematic bias. Compared to the TECOmedical assay, the Biomedica test yielded almost 2-fold higher sclerostin values throughout all sample types. Spike recovery and linear dilution studies revealed a higher accuracy of the TECOmedical assay (97% and 96%) compared to the Biomedica assay (118% and 78%). Sclerostin levels were stable within 4 hours after sample collection, in particular when analyzed in plasma. In contrast to the Biomedica assay, the TECOmedical showed a systematic but no proportional bias between serum and plasma samples with higher values for plasma samples. Among the 3 different plasma samples no systematic error could be documented.
CONCLUSION: Careful consideration of the pre-analytical handling and comparative assay validation are necessary to facilitate a more differentiated interpretation of studies reporting circulating sclerostin levels. The presence of a proportional bias demonstrates that in HD patients the two ELISAs for measuring sclerostin should not be used interchangeably. Furthermore, caution is necessary when comparing sclerostin results obtained from different blood sample types.

Entities:  

Keywords:  CKD-MBD; biomarker; haemodialysis; sclerostin; vascular calcification

Year:  2016        PMID: 27088126      PMCID: PMC4829955          DOI: 10.15190/d.2016.2

Source DB:  PubMed          Journal:  Discoveries (Craiova)        ISSN: 2359-7232


  25 in total

1.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

2.  Can we compare serum sclerostin results obtained with different assays in hemodialysis patients?

Authors:  Rosa M A Moysés; Sophie A Jamal; Fabiana G Graciolli; Luciene M dos Reis; Rosilene M Elias
Journal:  Int Urol Nephrol       Date:  2015-04-11       Impact factor: 2.370

3.  Determination of serum and plasma sclerostin concentrations by enzyme-linked immunoassays.

Authors:  Melissa McNulty; Ravinder J Singh; Xujian Li; Eric J Bergstralh; Rajiv Kumar
Journal:  J Clin Endocrinol Metab       Date:  2011-05-04       Impact factor: 5.958

4.  Repression of osteocyte Wnt/β-catenin signaling is an early event in the progression of renal osteodystrophy.

Authors:  Yves Sabbagh; Fabiana Giorgeti Graciolli; Stephen O'Brien; Wen Tang; Luciene Machado dos Reis; Susan Ryan; Lucy Phillips; Joseph Boulanger; Wenping Song; Christina Bracken; Shiguang Liu; Steven Ledbetter; Paul Dechow; Maria Eugenia F Canziani; Aluizio B Carvalho; Vanda Jorgetti; Rosa M A Moyses; Susan C Schiavi
Journal:  J Bone Miner Res       Date:  2012-08       Impact factor: 6.741

5.  Serum sclerostin: the missing link in the bone-vessel cross-talk in hemodialysis patients?

Authors:  S Pelletier; C B Confavreux; J Haesebaert; F Guebre-Egziabher; J Bacchetta; M-C Carlier; L Chardon; M Laville; R Chapurlat; G M London; M-H Lafage-Proust; D Fouque
Journal:  Osteoporos Int       Date:  2015-04-25       Impact factor: 4.507

Review 6.  Validation of analytic methods for biomarkers used in drug development.

Authors:  Cindy H Chau; Olivier Rixe; Howard McLeod; William D Figg
Journal:  Clin Cancer Res       Date:  2008-10-01       Impact factor: 12.531

Review 7.  Clinical utility of serum sclerostin measurements.

Authors:  Bart L Clarke; Matthew T Drake
Journal:  Bonekey Rep       Date:  2013-06-05

8.  Association of circulating sclerostin with bone mineral mass, microstructure, and turnover biochemical markers in healthy elderly men and women.

Authors:  Claire Durosier; Antoon van Lierop; Serge Ferrari; Thierry Chevalley; Socrates Papapoulos; René Rizzoli
Journal:  J Clin Endocrinol Metab       Date:  2013-07-17       Impact factor: 5.958

9.  New insights into the location and form of sclerostin.

Authors:  Paula Hernandez; Ciara Whitty; R John Wardale; Frances M D Henson
Journal:  Biochem Biophys Res Commun       Date:  2014-03-22       Impact factor: 3.575

Review 10.  Statistical methods used to test for agreement of medical instruments measuring continuous variables in method comparison studies: a systematic review.

Authors:  Rafdzah Zaki; Awang Bulgiba; Roshidi Ismail; Noor Azina Ismail
Journal:  PLoS One       Date:  2012-05-25       Impact factor: 3.240

View more
  4 in total

Review 1.  Biomarkers Predicting Bone Turnover in the Setting of CKD.

Authors:  Pieter Evenepoel; Etienne Cavalier; Patrick C D'Haese
Journal:  Curr Osteoporos Rep       Date:  2017-06       Impact factor: 5.096

Review 2.  Novel bone metabolism-associated hormones: the importance of the pre-analytical phase for understanding their physiological roles.

Authors:  Giovanni Lombardi; Mosè Barbaro; Massimo Locatelli; Giuseppe Banfi
Journal:  Endocrine       Date:  2017-02-08       Impact factor: 3.633

Review 3.  Sclerostin: From Molecule to Clinical Biomarker.

Authors:  Ahmed Omran; Diana Atanasova; Filip Landgren; Per Magnusson
Journal:  Int J Mol Sci       Date:  2022-04-26       Impact factor: 6.208

Review 4.  Hormonal and systemic regulation of sclerostin.

Authors:  Matthew T Drake; Sundeep Khosla
Journal:  Bone       Date:  2016-12-10       Impact factor: 4.398

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.