ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2018
Discovery of biomarkers to identify peri-implant osteolysis before radiographic diagnosis.
Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- Spinal implant wear particles: Generation, characterization, biological impacts, and future considerations.iScience · 2025Review
- Polymorphisms in rs2069845 are associated with IL-6 and soluble IL-6 receptor levels during total joint replacement.PloS one · 2025Article
- Predictive Value of Bone Metabolism Marker PINP in the Risk of Diabetic Retinopathy: A Cross-Sectional Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Osteoblasts-derived exosomes as potential novel communicators in particle-induced periprosthetic osteolysis.Materials today. Bio · 2024Article
- Biomarkers to discriminate between aseptic loosened and stable total hip or knee arthroplasties: a systematic review.EFORT open reviews · 2024Article
- Zucker Diabetic-Sprague Dawley Rats Have Impaired Peri-Implant Bone Formation, Matrix Composition, and Implant Fixation Strength.JBMR plus · 2023Article
- The Role of the Innate Immune System in Wear Debris-Induced Inflammatory Peri-Implant Osteolysis in Total Joint Arthroplasty.Bioengineering (Basel, Switzerland) · 2022Review
- Comparison of Bone Turnover Biomarkers in Serum and Urine Measured on an Automated Analytical Platform.The journal of applied laboratory medicine · 2021Article
- Effect of Interleukin 1 Receptor Antagonist Gene on Stable Expression Bone Marrow Mesenchymal Stem Cells and Early Aseptic Loosening of Hip Prosthesis of Mouse.Molecular biotechnology · 2021Article
- Biomechanics of Implant Fixation in Osteoporotic Bone.Current osteoporosis reports · 2020Review
- Observational
- Early changes in serum osteocalcin and body weight are predictive of implant fixation in a rat model of implant loosening.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2020Article
- Monitoring osseointegration and degradation of Mg-alloy implants through plasma biomarkers of inflammation and bone regeneration.Journal of tissue engineeringArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Peri-implant osteolysis is commonly diagnosed after substantial bone loss has occurred, making revision surgery more challenging. The goal of the current study was to identify urinary biomarkers that differentiate total hip replacement patients who eventually develop osteolysis from patients who do not. We used a repository of 24-h urine samples collected prior to surgery and annually thereafter in 26 patients, 16 who developed osteolysis, and 10 who did not. We examined the markers at radiographic diagnosis, annually for 6 years preceding diagnosis, at the first post-operative sampling point, and pre-operatively. Patients in the osteolysis and non-osteolysis groups were matched according to time post-surgery and did not differ in the male:female ratio or age at surgery. Seven candidate biomarkers were measured, including free deoxypyridinoline (DPD), cross-linked N-telopeptides (NTX), interleukin-6 (IL-6), interleukin-8 (IL-8), osteoprotegerin (OPG), α-crosslaps (α-CTX), and β-crosslaps (β-CTX). As an individual biomarker, DPD demonstrated the highest ability to predict osteolysis, with an area under the curve (AUC) in Receiver Operating Characteristic (ROC) analyses of 0.844 at 6 years prior to diagnosis. A panel of α-CTX and IL-6 was able to identify at-risk patients with an AUC of 0.941 or greater at all post-operative time points and an AUC of 1.000 pre-operatively. The results demonstrate the potential of using non-invasive biomarkers to identify patients at risk for peri-implant osteolysis long before the emergence of radiographic signs. Further, the high accuracy of the pre-operative biomarker levels demonstrates the potential importance of pre-existing, patient-specific factors driving subsequent osteolysis. Study Design © 2018 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:2754-2761, 2018.
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