Literature DB >> 29555831

Diagnostic Accuracy of Biomarkers and Imaging for Bone Turnover in Renal Osteodystrophy.

Syazrah Salam1,2,3, Orla Gallagher3, Fatma Gossiel2,3, Margaret Paggiosi2,3, Arif Khwaja4, Richard Eastell2,3.   

Abstract

Background Renal osteodystrophy is common in advanced CKD, but characterization of bone turnover status can only be achieved by histomorphometric analysis of bone biopsy specimens (gold standard test). We tested whether bone biomarkers and high-resolution peripheral computed tomography (HR-pQCT) parameters can predict bone turnover status determined by histomorphometry.Methods We obtained fasting blood samples from 69 patients with CKD stages 4-5, including patients on dialysis, and 68 controls for biomarker analysis (intact parathyroid hormone [iPTH], procollagen type 1 N-terminal propeptide [PINP], bone alkaline phosphatase [bALP], collagen type 1 crosslinked C-telopeptide [CTX], and tartrate-resistant acid phosphatase 5b [TRAP5b]) and scanned the distal radius and tibia of participants by HR-pQCT. We used histomorphometry to evaluate bone biopsy specimens from 43 patients with CKD.Results Levels of all biomarkers tested were significantly higher in CKD samples than control samples. For discriminating low bone turnover, bALP, intact PINP, and TRAP5b had an areas under the receiver operating characteristic curve (AUCs) of 0.82, 0.79, and 0.80, respectively, each significantly better than the iPTH AUC of 0.61. Furthermore, radius HR-pQCT total volumetric bone mineral density and cortical bone volume had AUCs of 0.81 and 0.80, respectively. For discriminating high bone turnover, iPTH had an AUC of 0.76, similar to that of all other biomarkers tested.Conclusions The biomarkers bALP, intact PINP, and TRAP5b and radius HR-pQCT parameters can discriminate low from nonlow bone turnover. Despite poor diagnostic accuracy for low bone turnover, iPTH can discriminate high bone turnover with accuracy similar to that of the other biomarkers, including CTX.
Copyright © 2018 by the American Society of Nephrology.

Entities:  

Keywords:  chronic kidney disease; chronic renal failure; hyperparathyroidism; mineral metabolism; parathyroid hormone; renal osteodystrophy

Mesh:

Substances:

Year:  2018        PMID: 29555831      PMCID: PMC5967779          DOI: 10.1681/ASN.2017050584

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  24 in total

1.  Utility of serum tartrate-resistant acid phosphatase (TRACP5b) as a bone resorption marker in patients with chronic kidney disease: independence from renal dysfunction.

Authors:  Shinsuke Yamada; Masaaki Inaba; Masafumi Kurajoh; Kaori Shidara; Yasuo Imanishi; Eiji Ishimura; Yoshiki Nishizawa
Journal:  Clin Endocrinol (Oxf)       Date:  2008-01-23       Impact factor: 3.478

Review 2.  Issues in modern bone histomorphometry.

Authors:  R R Recker; D B Kimmel; D Dempster; R S Weinstein; T J Wronski; D B Burr
Journal:  Bone       Date:  2011-07-23       Impact factor: 4.398

3.  Bone histomorphometry: standardization of nomenclature, symbols, and units. Report of the ASBMR Histomorphometry Nomenclature Committee.

Authors:  A M Parfitt; M K Drezner; F H Glorieux; J A Kanis; H Malluche; P J Meunier; S M Ott; R R Recker
Journal:  J Bone Miner Res       Date:  1987-12       Impact factor: 6.741

4.  Correlation of bone mineral density with the histological findings of renal osteodystrophy in patients on hemodialysis.

Authors:  A Gerakis; D Hadjidakis; E Kokkinakis; T Apostolou; S Raptis; A Billis
Journal:  J Nephrol       Date:  2000 Nov-Dec       Impact factor: 3.902

5.  Evaluation of bone microarchitecture by high-resolution peripheral quantitative computed tomography (HR-pQCT) in hemodialysis patients.

Authors:  A L Negri; E E Del Valle; M B Zanchetta; M Nobaru; F Silveira; M Puddu; R Barone; C E Bogado; J R Zanchetta
Journal:  Osteoporos Int       Date:  2012-01-11       Impact factor: 4.507

6.  Biopsy vs. peripheral computed tomography to assess bone disease in CKD patients on dialysis: differences and similarities.

Authors:  I D B Marques; M J C L N Araújo; F G Graciolli; L M Dos Reis; R M Pereira; M R Custódio; V Jorgetti; R M Elias; E David-Neto; R M A Moysés
Journal:  Osteoporos Int       Date:  2017-02-16       Impact factor: 4.507

7.  Effect of hemodialysis and renal failure on serum biochemical markers of bone turnover.

Authors:  Luisa Alvarez; Jose-Vicente Torregrosa; Pilar Peris; Ana Monegal; Jose-Luis Bedini; Maria-Jesús Martinez De Osaba; Xavier Filella; Gloria Martin; Carmen Ricos; Federico Oppenheimer; Antonio-Manuel Ballesta
Journal:  J Bone Miner Metab       Date:  2004       Impact factor: 2.626

8.  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

9.  Useful biochemical markers for diagnosing renal osteodystrophy in predialysis end-stage renal failure patients.

Authors:  An R J Bervoets; Goce B Spasovski; Geert J Behets; Geert Dams; Momir H Polenakovic; Katica Zafirovska; Viviane O Van Hoof; Marc E De Broe; Patrick C D'Haese
Journal:  Am J Kidney Dis       Date:  2003-05       Impact factor: 8.860

10.  Clearance of NH2-terminal propeptides of types I and III procollagen is a physiological function of the scavenger receptor in liver endothelial cells.

Authors:  J Melkko; T Hellevik; L Risteli; J Risteli; B Smedsrød
Journal:  J Exp Med       Date:  1994-02-01       Impact factor: 14.307

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  26 in total

1.  Novel Approaches for Assessment of Bone Turnover in CKD: Is New Always Better?

Authors:  Elvira O Gosmanova; Aidar R Gosmanov
Journal:  J Am Soc Nephrol       Date:  2018-07-30       Impact factor: 10.121

2.  Authors' Reply.

Authors:  Syazrah Salam; Arif Khwaja; Richard Eastell
Journal:  J Am Soc Nephrol       Date:  2018-07-30       Impact factor: 10.121

3.  The Quest for Better Biomarkers of Bone Turnover in CKD.

Authors:  Thomas L Nickolas
Journal:  J Am Soc Nephrol       Date:  2018-04-12       Impact factor: 10.121

Review 4.  The Non-invasive Diagnosis of Bone Disorders in CKD.

Authors:  Jordi Bover; Pablo Ureña-Torres; Mario Cozzolino; Minerva Rodríguez-García; Carlos Gómez-Alonso
Journal:  Calcif Tissue Int       Date:  2021-01-04       Impact factor: 4.333

5.  Effects of lanthanum carbonate on bone markers and bone mineral density in incident hemodialysis patients.

Authors:  Kimihiko Goto; Shunsuke Goto; Hideki Fujii; Kentaro Watanabe; Keiji Kono; Shinichi Nishi
Journal:  J Bone Miner Metab       Date:  2019-06-18       Impact factor: 2.626

Review 6.  Transcriptomics: a Solution for Renal Osteodystrophy?

Authors:  Aline Martin; Valentin David
Journal:  Curr Osteoporos Rep       Date:  2020-06       Impact factor: 5.096

7.  Natural History of Bone Disease following Kidney Transplantation.

Authors:  Hanne Skou Jørgensen; Geert Behets; Bert Bammens; Kathleen Claes; Bjorn Meijers; Maarten Naesens; Ben Sprangers; Dirk R J Kuypers; Etienne Cavalier; Patrick D'Haese; Pieter Evenepoel
Journal:  J Am Soc Nephrol       Date:  2022-01-19       Impact factor: 10.121

8.  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 9.  Bone fragility in patients with chronic kidney diseases.

Authors:  Martine Cohen-Solal; Thomas Funch-Brentano; Pablo Urena
Journal:  Endocr Connect       Date:  2020-03-01       Impact factor: 3.335

10.  Bone biopsy in chronic kidney disease: still an option?

Authors:  Tilman B Drueke
Journal:  J Bras Nefrol       Date:  2020-05-18
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