Literature DB >> 20570641

Magnetic isolation of particles suspended in synovial fluid for diagnostics of natural joint chondropathies.

Kalia Mendel1, Noam Eliaz, Itai Benhar, David Hendel, Nahum Halperin.   

Abstract

Millions of people are stricken with the degenerative joint disease known as osteoarthritis. Osteoarthritis is associated with biochemical and mechanical processes, and is characterized by loss of articular cartilage and hypertrophy of bone. As cartilage and bone particles are released into the synovial fluid, a variety of biomarkers have been suggested for the analysis of this fluid. Here we have developed a method for isolating bone and cartilage wear particles suspended in the synovial fluid of the hip, knee and ankle joints of humans, based on specific magnetization of collagens I and II. Bio-ferrography is used to capture the particles on glass slides, allowing microscopic, chemical and statistical analyses. The relations between the level of the disease and the number, dimensions, shape and chemical composition of the particles were established. The method, which was found to be sensitive and reliable, can easily be extended to other applications, such as diagnosis of cancer and infectious diseases, determination of the efficacy of drugs or optimization of implants.
Copyright © 2010 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20570641     DOI: 10.1016/j.actbio.2010.06.003

Source DB:  PubMed          Journal:  Acta Biomater        ISSN: 1742-7061            Impact factor:   8.947


  2 in total

Review 1.  Corrosion of Metallic Biomaterials: A Review.

Authors:  Noam Eliaz
Journal:  Materials (Basel)       Date:  2019-01-28       Impact factor: 3.623

2.  A Novel Cartilage Fragments Stimulation Model Revealed that Macrophage Inflammatory Response Causes an Upregulation of Catabolic Factors of Chondrocytes In Vitro.

Authors:  Masanari Hamasaki; Mohamad Alaa Terkawi; Tomohiro Onodera; Kentaro Homan; Norimasa Iwasaki
Journal:  Cartilage       Date:  2019-02-01       Impact factor: 4.634

  2 in total

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