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      ADAMTS-4 activity in synovial fluid as a biomarker of inflammation and effusion

      brief-report

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          Summary

          Objective

          To evaluate the potential of ADAMTS-4 (aggrecanase -1) activity in synovial fluid (SF) as a biomarker of knee injury and joint disease.

          Design

          We have measured ADAMTS-4 activity in the synovial fluid of 170 orthopaedic patients with different degrees of joint pathology, using a commercial ADAMTS-4 fluorescence resonance energy transfer (FRET) substrate assay. Patients were classified at arthroscopy as (i) macroscopically normal, (ii) with an injury of the meniscus, anterior cruciate ligament or chondral/osteochondral defects or (iii) with osteoarthritis, and the influence of independent factors (age, patient group, effusion and synovial inflammation) on ADAMTS-4 activity levels was assessed.

          Results

          In most patients (106/170) ADAMTS-4 activity was undetectable; ADAMTS-4 ranged from 0 to 2.8 ng/mL in synovial fluid from patients with an injury, 0–4.1 ng/mL in osteoarthritic patients and 4.0–12.3 ng/mL in patients with large effusions. Four independent variables each significantly influenced ADAMTS-4 activity in synovial fluid (all P < 0.001): age (concordance = 0.69), presence of osteoarthritis (OA) (concordance = 0.66), level of effusion (concordance = 0.78) and inflammation (concordance = 0.68). Not only did effusion influence the amount of ADAMTS-4 activity most strongly, but it also did this in an ordered manner ( P < 0.001).

          Conclusions

          The main finding of this study is that ADAMTS-4 levels in synovial fluid are most strongly correlated with inflammation and severity of effusion in the knee. Further study is required to determine if it could provide a useful tool to aid clinical diagnoses, indicate treatment, to monitor progression of joint degeneration or OA or alternatively the success of treatment.

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          Most cited references19

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          The etiology of chondromalacia patellae.

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            Epidemiologic Evaluation of Measurement Data in the Presence of Detection Limits

            Quantitative measurements of environmental factors greatly improve the quality of epidemiologic studies but can pose challenges because of the presence of upper or lower detection limits or interfering compounds, which do not allow for precise measured values. We consider the regression of an environmental measurement (dependent variable) on several covariates (independent variables). Various strategies are commonly employed to impute values for interval-measured data, including assignment of one-half the detection limit to nondetected values or of “fill-in” values randomly selected from an appropriate distribution. On the basis of a limited simulation study, we found that the former approach can be biased unless the percentage of measurements below detection limits is small (5–10%). The fill-in approach generally produces unbiased parameter estimates but may produce biased variance estimates and thereby distort inference when 30% or more of the data are below detection limits. Truncated data methods (e.g., Tobit regression) and multiple imputation offer two unbiased approaches for analyzing measurement data with detection limits. If interest resides solely on regression parameters, then Tobit regression can be used. If individualized values for measurements below detection limits are needed for additional analysis, such as relative risk regression or graphical display, then multiple imputation produces unbiased estimates and nominal confidence intervals unless the proportion of missing data is extreme. We illustrate various approaches using measurements of pesticide residues in carpet dust in control subjects from a case–control study of non-Hodgkin lymphoma.
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              Classification of osteoarthritis biomarkers: a proposed approach.

              Osteoarthritis (OA) biomarkers are needed by researchers and clinicians to assist in disease diagnosis and assessment of disease severity, risk of onset, and progression. As effective agents for OA are developed and tested in clinical studies, biomarkers that reliably mirror or predict the progression or amelioration of OA will also be needed. The NIH-funded OA Biomarkers Network is a multidisciplinary group interested in the development and validation of OA biomarkers. This review summarizes our efforts to characterize and classify OA biomarkers. We propose the "BIPED" biomarker classification (which stands for Burden of Disease, Investigative, Prognostic, Efficacy of Intervention and Diagnostic), and offer suggestions on optimal study design and analytic methods for use in OA investigations. The BIPED classification provides specific biomarker definitions with the goal of improving our ability to develop and analyze OA biomarkers, and to communicate these advances within a common framework.
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                Author and article information

                Contributors
                Journal
                Osteoarthritis Cartilage
                Osteoarthr. Cartil
                Osteoarthritis and Cartilage
                W.B. Saunders For The Osteoarthritis Research Society
                1063-4584
                1522-9653
                1 September 2015
                September 2015
                : 23
                : 9
                : 1622-1626
                Affiliations
                []Robert Jones & Agnes Hunt Orthopaedic Hospital NHS Foundation Trust, Oswestry, Shropshire, UK
                []Keele University, Keele, Staffordshire, UK
                [§ ]Northallerton Hospital, Yorkshire, UK
                []School of Bioscience, Cardiff University, UK
                Author notes
                []Address correspondence and reprint requests to: S. Roberts, ARC/TORCH Building & ISTM (Keele University), Robert Jones & Agnes Hunt Orthopaedic Hospital NHS Foundation Trust, Oswestry, Shropshire, SY10 7AG, UK. Tel: 44-1691-404664. sally.roberts@ 123456rjah.nhs.uk
                Article
                S1063-4584(15)01163-2
                10.1016/j.joca.2015.05.006
                4565717
                26003949
                405acd20-c376-4dd4-bdbe-717a607ec742
                © 2015 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 16 December 2014
                : 12 May 2015
                Categories
                Brief Report

                Rheumatology
                adamts-4 activity,synovial fluid,inflammation,effusion,knee osteoarthritis
                Rheumatology
                adamts-4 activity, synovial fluid, inflammation, effusion, knee osteoarthritis

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