Literature DB >> 31825107

Early changes in serum osteocalcin and body weight are predictive of implant fixation in a rat model of implant loosening.

Brittany M Wilson1, Meghan M Moran1,2, Matthew J Meagher1, Ryan D Ross1,2, Maleeha Mashiatulla1, Amarjit S Virdi1,2, Dale R Sumner1,2.   

Abstract

Biomarkers are of interest to identify patients at risk for peri-implant osteolysis and aseptic loosening. We used a rat model of particle-induced peri-implant osteolysis to investigate if early changes in biomarkers were associated with subsequent implant fixation strength. Implants were placed in rat femora, which were then challenged with intra-articular knee injections of either clean polyethylene, lipopolysaccharide-doped polyethylene, or cobalt-chromium alloy particles, with particle-free vehicle serving as control (n ≥ 8 per group). Rats were weighed weekly, blood was collected at weeks 0, 3, 5, and 6, and locomotor behavior was assessed 4 days before study conclusion. Rats were euthanized 6 weeks post surgery. Week 6 serum was analyzed for five bone remodeling markers, while longitudinal serum was assessed for osteocalcin. Bone-implant contact, peri-implant trabecular architecture, and implant fixation strength were measured. Rats challenged with cobalt-chromium particles had a significant reduction in implant fixation strength compared with the vehicle-control group (P = .034). This group also had elevated serum osteocalcin (P = .005), depressed weight gain (P = .001) and less frequent rearing behavior (P = .029). Regardless of group, change in serum osteocalcin at week 3 (r = -.368; P = .046), change in weight at week 2 (r = .586; P < .001), as well as weight change at all other time intervals were associated with fixation strength. The finding that early alterations in serum osteocalcin and body weight were predictive of subsequent implant fixation strength supports continued investigation of biomarkers for early detection of peri-implant osteolysis and implant loosening. Further, change in biomarker levels was found to be more indicative of implant fixation status than any single measurement.
© 2019 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.

Entities:  

Keywords:  aseptic loosening; biomarker; osteocalcin; osteolysis; rat

Mesh:

Substances:

Year:  2019        PMID: 31825107      PMCID: PMC7225033          DOI: 10.1002/jor.24563

Source DB:  PubMed          Journal:  J Orthop Res        ISSN: 0736-0266            Impact factor:   3.494


  49 in total

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4.  Acute inflammatory response to cobalt chromium orthopaedic wear debris in a rodent air-pouch model.

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5.  Optimizing a micro-computed tomography-based surrogate measurement of bone-implant contact.

Authors:  Matthew J Meagher; Rachna N Parwani; Amarjit S Virdi; Dale R Sumner
Journal:  J Orthop Res       Date:  2017-10-04       Impact factor: 3.494

6.  The effect of three phlebotomy techniques on hematological and clinical chemical evaluation in sprague-dawley rats.

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7.  A rat model of resorption of bone at the cement-bone interface in the presence of polyethylene wear particles.

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Review 8.  Are there biological markers for wear or corrosion? A systematic review.

Authors:  D Rick Sumner; Ryan Ross; Ed Purdue
Journal:  Clin Orthop Relat Res       Date:  2014-12       Impact factor: 4.176

9.  Cobalt Alloy Implant Debris Induces Inflammation and Bone Loss Primarily through Danger Signaling, Not TLR4 Activation: Implications for DAMP-ening Implant Related Inflammation.

Authors:  Lauryn Samelko; Stefan Landgraeber; Kyron McAllister; Joshua Jacobs; Nadim James Hallab
Journal:  PLoS One       Date:  2016-07-28       Impact factor: 3.240

10.  Specific material effects of wear-particle-induced inflammation and osteolysis at the bone-implant interface: A rat model.

Authors:  Lisa K Longhofer; Alexander Chong; Nora M Strong; Paul H Wooley; Shang-You Yang
Journal:  J Orthop Translat       Date:  2016-07-14       Impact factor: 5.191

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  1 in total

1.  The gut microbiota may be a novel pathogenic mechanism in loosening of orthopedic implants in rats.

Authors:  Meghan M Moran; Brittany M Wilson; Jun Li; Phillip A Engen; Ankur Naqib; Stefan J Green; Amarjit S Virdi; Anna Plaas; Christopher B Forsyth; Ali Keshavarzian; Dale R Sumner
Journal:  FASEB J       Date:  2020-09-15       Impact factor: 5.191

  1 in total

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