Literature DB >> 25285138

Towards the identification of early stage osteoarthritis.

Alberto Migliore1, Umberto Massafra1.   

Abstract

A variety of genetic and environmental factors contribute to the progressive develop of OA. It is necessary to identify people who are developing initial changes in cartilage and/or subchondral bone before onset of classical radiological features in order to detect early phase of OA. Recent quantitative MRI techniques can evaluate the structural, mechanical and biochemical characteristics of cartilage. T2 mapping is able to assess cartilage volume and defects measurement, delayed gadolinium enhanced MRI (dGEMRIC) and Contrast Enhanced Computed Tomography (CECT) can reveal Cartilage GAG content. Accurate and reliable serum, urine and synovial fluid biomarkers are also requested. Several biomarkers have been studied and proposed, but there are many critical issues to consider for inferring useful data from studies on biomarkers in early OA such as phase of disease, specific joint sites, systemic concentrations, circadian rhythm, their clearance from the joint, etc. Recently proteomics has produced great expectations to improve the early diagnosis of OA. These discoveries may open opportunities for the identification of early stage of OA leading to manage the symptoms and ultimately slow the progression of OA.

Entities:  

Keywords:  biomarker; early osteoarthritis; imaging

Year:  2014        PMID: 25285138      PMCID: PMC4172177     

Source DB:  PubMed          Journal:  Clin Cases Miner Bone Metab        ISSN: 1724-8914


  3 in total

Review 1.  Classification of osteoarthritis biomarkers: a proposed approach.

Authors:  D C Bauer; D J Hunter; S B Abramson; M Attur; M Corr; D Felson; D Heinegård; J M Jordan; T B Kepler; N E Lane; T Saxne; B Tyree; V B Kraus
Journal:  Osteoarthritis Cartilage       Date:  2006-06-02       Impact factor: 6.576

Review 2.  Proteomics role in the search for improved diagnosis, prognosis and treatment of osteoarthritis.

Authors:  C Ruiz-Romero; F J Blanco
Journal:  Osteoarthritis Cartilage       Date:  2009-12-23       Impact factor: 6.576

Review 3.  Probing articular cartilage damage and disease by quantitative magnetic resonance imaging.

Authors:  Deva D Chan; Corey P Neu
Journal:  J R Soc Interface       Date:  2013-01-06       Impact factor: 4.118

  3 in total
  3 in total

1.  Meniscal pathologies on MRI correlate with increased bone tracer uptake in SPECT/CT.

Authors:  Jan Rechsteiner; Michael T Hirschmann; Milos Dordevic; Anna L Falkowski; Enrique A Testa; Felix Amsler; Anna Hirschmann
Journal:  Eur Radiol       Date:  2018-05-22       Impact factor: 5.315

2.  Single Molecule Microscopy Reveals an Increased Hyaluronan Diffusion Rate in Synovial Fluid from Knees Affected by Osteoarthritis.

Authors:  Hendrik Kohlhof; Sascha Gravius; Sandro Kohl; Sufian S Ahmad; Thomas Randau; Jan Schmolders; Yorck Rommelspacher; Max Friedrich; Tim P Kaminski
Journal:  Sci Rep       Date:  2016-02-12       Impact factor: 4.379

3.  In vivo optical imaging of early osteoarthritis using an antibody specific to damaged arthritic cartilage.

Authors:  Ngee Han Lim; Tonia L Vincent; Ahuva Nissim
Journal:  Arthritis Res Ther       Date:  2015-12-25       Impact factor: 5.156

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.