Serum Cartilage Oligomeric Matrix Protein (COMP) in Knee Osteoarthritis: A Novel Diagnostic and Prognostic Biomarker Priyanka Verma, Krishna Dalal Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India Received 4 October 2012; accepted 23 January 2013 Published online 19 February 2013 in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/jor.22324 ABSTRACT: A case–control study was conducted to estimate the association of cartilage oligomeric matrix protein (COMP) with knee osteoarthritis (OA) and to examine the potential utility of COMP as a diagnostic and prognostic biomarker in early knee OA. The COMP levels were estimated in the blood sera of 150 subjects belonging to study group (n ¼ 100) and control one (n ¼ 50). Patients with confirmed clinical isolated knee OA diagnosed through American College of Rheumatology criteria were included and were without any other cause of knee pain. ELISA was used to determine the levels of COMP, interleukin-1b (IL-1b) and tumor necrosis factor-a (TNF-a). The median (range) serum COMP levels were observed to be 1117.21 ng/ml (125.03–4209.75 ng/ml) in OA patients and 338.62 ng/ml (118–589 ng/ml) in control subjects with p < 0.001. The COMP levels of study group were negatively correlated (correlation factor 0.88) with disease duration and positively correlated with age, BMI, pain score and IL-1b with correlation factors 0.86, 0.63, 0.76, and 0.79, respectively with p < 0.001. Gender differentiation was found in study group with 52% higher COMP level in males as compared to that of females. There was no significant correlation of COMP levels with radiological grading, erythrocyte sedimentation rate (ESR), hemoglobin (Hb), and TNF-a. The serum COMP levels may be used as a diagnostic OA marker along with prognostic value in determining the patients at risk of rapidly progressing this debilitating joint disease. The serum COMP level remains significantly high in first 3 years of disease duration. # 2013 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 31:999–1006, 2013. Keywords: COMP; prognosis; diagnosis; knee osteoarthritis; biomarker Osteoarthritis (OA) is currently defined by the American College of Rheumatology1 as a “heterogeneous group of conditions that leads to joint symptoms and signs which are associated with defective integrity of articular cartilage, in addition to related changes in the underlying bone at the joint margins.” The aetiology of OA is based on various factors such as inflammation, mechanical and physical injury, and other metabolic causes. A number of environmental risk factors like obesity, occupation, and trauma, can also initiate various pathological pathways which may lead to OA. OA is mainly characterized by the degeneration of articular cartilage. Articular cartilage is made up of extracellular matrix and collagen fibrils. The extracellular matrix provides this tissue with its great strength in order to dissipate the load and handle the forces generated within the joint.2 It also provides the resistance against deformation. The colla- Abbreviations: COMP, cartilage oligomeric matrix protein; OA, osteoarthritis; BMI, body mass index; ESR, erythrocyte sedimentation rate; ECM, extra cellular matrix; Hb, hemoglobin; JSN, joint space narrowing; MMP, matrix metalloproteinases; VAS, visual analog scale Authors’ contribution: K.D. and P.V. designed the study. P.V. conducted the study. P.V. performed data collection. K.D. and P. V. analyzed the data. K.D. performed data interpretation. P.V. drafted the manuscript. K.D. and P.V. revised the manuscript content: K.D. and P.V. K.D. approved the final version of manuscript. P.V. take the responsibility for the integrity of the data analyses. All authors state that they have no conflicts of interest. Grant sponsor: Council of Scientific and Industrial Research. Correspondence to: Priyanka Verma (T: 91-11-26593215 ext. 919818795588; F: 91-11-26588641 ext. 91-11-26588663; E-mail: [email protected]) # 2013 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. gen fibrillar network provides tensile strength, and the aggregate of water-laden proteoglycan aggrecan contributes to its compressive stiffness.3 As there is no vascularity in articular cartilage, it is not able to recruit the chondroprogenitor stem cells which can do the effective repair once growth ceases. Therefore, in knee OA, the amount of cartilage matrix synthesis in relation to its degradation may prove of great importance in determining the disease progression.4 The degenerative process are found to be more apparent with aging, and in a majority of the population over age 60 years, this process may result in OA.4 Since the earliest pathological changes in OA take place periarticularly, they are not captured well by radiographs but are evident only through the costly MRI. Therefore, the field of OA study is in desperate need of biomarkers which can change the process of OA prediction, OA management, and the efficacy of drug therapies and our understanding of disease pathogenesis. The possibility to objectively determine the OA status through serum would significantly increase the possibilities of diagnosing the disease with greater ease and with much cost-effective method than radiographic methods. It has been studied that in the course of the disease, when the erosion of the cartilage is taking place, it is possible that immune reactions to other cartilage proteins are initiated and contribute to the disease course. The pro-inflammatory cytokines like interleukin-1b (IL-1b), tumor necrosis factor-a (TNF-a) are known to play important roles in the development and progression of OA.5–7 It has been documented that they stimulate the production of MMPs8 by regulating the collagenases and aggrecanase production, and are known to suppress chondrocyte synthesis of aggrecan and type II collagen which is required to restore the JOURNAL OF ORTHOPAEDIC RESEARCH JULY 2013 999 1000 VERMA AND DALAL ECM.7,9–11 It thus results in the degradation of cartilage matrix. However, the development and progression of OA is affected by multiple active mediators but still it is essential to elucidate the effect of these two cytokines in progression of OA and to find if there is any correlation between them and studied biomarker level. It has also been observed that during turnover of cartilage matrix in normal and diseased joints, fragments of extracellular matrix molecules, and other degradation products of cartilage metabolism are released into the synovial fluid12–14 and thereafter into the blood serum.15 One such biomarker which was most investigated till date to predict knee OA progression is cartilage oligomeric matrix protein (COMP). COMP is an important degradation product of articular cartilage16 and it may prove to be a promising diagnostic and prognostic marker in serum for diagnosis of knee OA. COMP is a pentameric non-collagenous glycoprotein belonging to the heterogeneous family of thrombospondin which can bind type to collagen type I, II, and IX.17 COMP pentamer bound up to five collagen molecules thereby retaining them in close proximity. By this process, COMP facilitates the collagen–collagen interactions and microfibril formation. Several studies conducted in past suggested that COMP is mainly produced by articular chondrocytes18,19 and reached the consensus that COMP levels in synovial fluid and serum might be related to cartilage damage.20–22 It was also reported that COMP level elevates in the knee joint synovial fluids of patients with reactive rheumatoid arthritis and in serum of patients with juvenile chronic arthritis compared to healthy children.23 Despite these results, the role of COMP as a marker of a disease process remained to be determined. The use of serum COMP to disclose disease status is not yet thoroughly studied in knee OA as the elevated serum COMP levels correlated with a more rapid disease course in RA.24,25 There is also evidence that an increase in serum COMP may serve as an indicator of radiographic OA progression.26,27 Therefore, this study has been devoted to evaluate the COMP in serum for assessing the knee OA disease progression, and to find out its association with duration of disease, patient’s gender, BMI, radiological grading, visual analog scale (VAS) score, erythrocyte sedimentation rate (ESR), hemoglobin (Hb), and levels of cytokines. MATERIALS AND METHODS Participants This case control study was carried out in a tertiary care medical institute located in New Delhi, India with the permission of the institute ethics committee and was conducted among the populations of the plain lands of India. The study was comprised of two groups: control group (n ¼ 50) and study group (n ¼ 100). The data was collected in person with the submission of the signed individual’s informed consent form of one’s participation prior to the JOURNAL OF ORTHOPAEDIC RESEARCH JULY 2013 initiation of the study. The details of both the group subjects are stated in the sub-sections to follow. Study Group This group consisted of patients with primary OA of the knee joint with effusions, screened in the outpatients Department of Medicine and other medical specialty services of the study institute for their confirmed knee OA as per the definition of American College of Rheumatology criteria for diagnosis of primary knee OA.1 The medical visits of the patients were prompted by the acute onset of pain, swelling, and stiffness in the affected region. Patients with primary knee OA unilateral or bilateral and with chronic knee pain of more than 3 months and radiological evidence of early OA were included in the study group. The grading of knee severity on knee X-ray was done according to Kellgren/Lawrence scale.28 The study group was consisted of 100 patients with the age group 40–80 years and disease duration of 4 months to 12 years. The patients were excluded if they presented with secondary OA, previous knee injury, or intra-articular fracture, steroid injection into the affected knee joint within 3 months of recruitment for the study, OA in joints other than the knee joint, osteoporosis, and other rheumatic diseases. Also, the patients with inflammed joints other than knee joint were excluded. The process of OA evaluation also included VAS scores for pain. Control Group Fifty individuals without any history of knee pain were chosen from the Casualty Department of the study institute and from patient’s allies to serve as a control group. The control group did not report any evidence of fracture or meniscal injury in past. They were matched for genders and age with the OA group but there was no subject with age more than 60 years who could be defined as controls as per the inclusion criteria. Outcome Variables The potential determinants of the outcome measures explored included the following: demographic data together with the BMI, radiological grading, VAS score, and serum levels of COMP, ESR, and Hb. Every patient prior to blood sampling procedure was asked to take a rest of 30 min. In a subject 5 ml of blood sample was withdrawn for estimating serum COMP and for carrying out other relevant investigations. Each blood sample was dispensed in 1.5 ml micro centrifuge tube (MCT). Blood was allowed to clot for 1–2 h at room temperature (25–26˚C). The clotted blood was rimmed (so as to detach fibrin from the walls of the tube) and centrifuged at 2,000–3,000 rpm for 10 min. Serum was separated using a micropipette and aliquoted in triplicates to a fresh set of MCTs. The tubes were labeled and stored at 20˚C until use for investigative purposes. Biochemical Analysis The quantitative measurement of overall COMP level was performed on the serum samples using an immunoassay ELISA. The kit was manufactured by BioVendor Laboratory Medicine, Inc., BioVendor GmbH, Heidelberg, Germany; Cat. no. RD 194080200R (Cat. No.: RD194080200R). The detection limit of the assay was 0.4 ng/ml, and the intra-assay and inter-assay coefficients of variation were 4% and 3.1%, respectively. In case of TNF-a, the quantitative measurement was performed on the serum samples using an immunoassay by RayBio Human TNF-alpha ELISA Kit SERUM COMP IN KNEE OA (U.S.; Cat#: ELH-TNF-a-001) having detection limit of 0.03 ng/ml, and the intra-assay and inter-assay coefficients of variation were <10% and <12%, respectively. IL-1b immunoassay was performed using RayBio Human IL-1b ELISA Kit (U.S.) (Cat#: ELH-IL-1b-001) having detection limit of 0.0003 ng/ml, and the intra-assay and inter-assay coefficients of variation were <10% and <12%, respectively. Differences due to inter-assay variations were eliminated by comparing concentrations within subjects and by testing all samples of any subject on the same plate. The following procedure was used with each ELISA kit. The sample was diluted 50 with dilution buffer supplied in above-mentioned ELISA kits. The total quantity of 100 ml of standards, quality controls, dilution buffer (as blank) and samples in duplicates was pipetted into the appropriate wells of ELISA plate. The plate was incubated at room temperature (ca. 25˚C) for 1 h. Washing of the wells was done three times with 0.35 ml of wash solution per well (supplied). After final wash, plate was inverted and tapped strongly against paper towel. Then 100 ml of biotin labeled antibody was added into each well and the plate was again incubated at room temperature (ca. 25˚C) for 1 h. Washing step was repeated as above and then 100 ml of streptavidin-HRP conjugate was added into each well. The plate was again incubated at 25˚C for 30 min. Washing step was once again repeated as described earlier and then 100 ml of substrate solution was added into each well. The plate was covered with aluminum foil to avoid exposure to sunlight and it was incubated again for 10 min at 25˚C. The color development was stopped by adding 100 ml of stop solution. The absorbance of each well was determined using a micro plate reader set to 450 nm (Bio-Rad 550; Bio-Rad Laboratories, Hercules, CA). The standard curve was constructed by plotting the mean absorbance (Y) of standards against the known concentration (X) of standards in logarithmic scale, using the four-parameter algorithm. Results are reported as concentration of COMP ng/ml in samples. The measured concentration of samples calculated from the standard curve was multiplied by their respective dilution factor, that is, 50, because samples had been diluted prior to the assay. Measurement of Knee Pain The severity of OA pain (OAP) was measured on VAS scores ranging from “0 to 10” (“0” indicating “no pain” and “10” indicating “unbearable pain”). Pain was assessed by the individual patient herself/himself by marking “no pain” (0 < OAP 0.5), “mild pain” (0.5 < OAP 3), “moderate pain” (3 < OAP 6) or “severe pain”(6 < OAP 9) on the pain chart each day for a period of 2 weeks and the average VAS score was recorded as the reported pain score for an individual. There was no subject reported with “unbearable OAP” (9 < OAP 10). The data was collected in person or over the telephonic conversation. Radiological Evaluation Radiological evaluation was done to all patients by Kellgren– Lawrence grading scale, 1957. Radiographs with no osteophytes and normal joint space were defined as K/L “grade 0” (normal findings). A minute radiographic osteophyte of doubtful pathologic significance was assigned a K/L “grade of 1” (doubtful). Radiographs showing an osteophyte without joint space narrow were assigned a K/L “grade of 2” (mild). A moderate decrease of the joint space was assigned a K/L “grade of 3” (moderate). K/L “grade of 4” (severe) was defined as severe joint space narrowing with subchondral bone sclerosis.28 1001 Statistical Analysis The recorded data were statistically analyzed using the statistical software package STATA 11.1 for Windows, STATA Corporation, USA. Continuous variables were summarized as mean SD or median (range) as applicable and categorical variables as proportions, n (n %). Comparison between groups for parametric and non-parametric variables was done by independent Student’s t-test and Mann–Whitney test, respectively. Chi-square (x2) test was used for categorical variables. The relationship between serum COMP and various variables (age, BMI, VAS, K/L grades and duration of disease, IL-1b and TNF-a) in knee OA patients were accessed by one-way analysis of variance (ANOVA). Spearman’s correlation test was performed to study linear/ nonlinear correlation between variables. The significance level was set at p-value <0.05. RESULTS The average concentrations of COMP in serum of study group with primary OA were found to be elevated over that of the reference group with statistical significance (p < 0.0001). It was estimated that the serum COMP levels of the study individuals ranged from 125.03 to 4209.75 ng/ml with median level of 1117.21 ng/ml whereas these values of the control ones were found to be 338.62 ng/ml (118–589 ng/ml). Table 1 presents the comparative statements of the observables in which the median COMP levels were found to be explicitly different in both groups as well as within the study group with respective to the different parameters. No significant correlations were observed between serum COMP levels and K/L X-rays score (p ¼ 0.37). The data records reveal that the median COMP levels in the study subjects were found to be raised in comparison with that of the control ones irrespective of age and gender. The graphical variations of COMP levels are shown in Figures 1A–D and 2A–D, respectively. The variations depict that there was nonlinear and negative variation of the COMP level with the duration of OA (Fig. 1A) exhibiting a residual COMP level of 200 ng/ml approximately. It was found to have the linear but positive variations of the COMP levels with age, BMI, VAS score, and level of IL-1b (Figs. 1B– D and 2A), respectively). Using Table 1, it was revealed that there was manifold increase in serum COMP level in OA affected persons with age more than 60 years compared with those in the age group 45–60 years. This result is statistically significant with p-value <0.0001. For the age group 40–60 years, there was 97.6% increase in serum COMP level among the OAaffected persons compared with that of the reference subjects (p < 0.001). There was a positive and linear increase of median serum COMP level with age for both the control and OA-affected groups (Fig. 1B) with markedly different correlation factors in between these two groups. Figure 1B and C also exhibits the comparative variations of COMP levels with age and BMI in between the groups. A cross-over relation of COMP level with age was observed in the age group 44–48 JOURNAL OF ORTHOPAEDIC RESEARCH JULY 2013 1002 VERMA AND DALAL Table 1. Comparison of Serum COMP Levels Under Various Studied Parameters COMP Level (ng/ml) Variables Group Group Study Control Age (years): 40–60 Study Control Age (years): >60 Study Controla Gender (M) Study Control Gender (F) Study Control Disease duration (D) in months 4 D 36 Study 36 < D 60 Above 60 n (n%) Mean ± SD/Median (Range) p-Value 100 50 56 (56%) 50 (100%) 44 (44%) — 40 (40%) 25 (50%) 60 (60%) 25 (50%) 1117.21 (125.02–4209.74) 338.62 (118–589) 668.08 (125.02–2194.40) 338.62 (118–589) 1822.91 (1031.82–4209.74) — 1516.55 (178.60–4209.74) 335.30 (118.80–584.97) 997.76 (125.02–3436.28) 370.17 (117.90–588.84) <0.001 13 (13%) 35 (35%) 52 (52%) 2561.56 ± 683.67 1639.43 ± 404.67 624.62 (125.03–1461.55) <0.001 <0.001 <0.001 <0.001 a No individual was encountered in age group >60 years fulfilling the inclusion criteria. Figure 1. The variations of COMP levels with (A) disease duration in the study group: correlation factor ¼ 0.8783, p < 0.001. (B) Age representing the comparison between the study and control subjects study group: correlation factor ¼ 0.8580 and control group: correlation factor ¼ 0.1146; p < 0.001. (C) BMI presenting a comparison in COMP levels between study and control groups. Study group: correlation factor ¼ 0.6310 and control group: correlation factor ¼ 0.016; p < 0.001. (D) Pain score (VAS) in the study group: correlation factor ¼ 0.7619, p < 0.001. JOURNAL OF ORTHOPAEDIC RESEARCH JULY 2013 SERUM COMP IN KNEE OA 1003 Figure 2. The variations of COMP levels in the study group with (A) IL-1b (correlation factor ¼ 0.7882; p < 0.001), (B) TNF-a (correlation factor ¼ 0.1420; p < 0.0831), (C) Hb (correlation factor ¼ 0.1315; p < 0.1922), (D) ESR (correlation factor ¼ 0.0177; p < 0.8610). years (Fig. 1B). The patients of age more than 48years showed prominent elevated COMP level at a rate of 26fold higher than the reference group. There was a positive correlation of COMP level (0.6310) with the BMI (p < 0.001) and the variations are shown in Figure 1C. The body mass index in OA patients (25.10 4.89 kg/m2) was significantly higher than controls (22.06 3.66 kg/m2; p < 0.001). Hence it was observed that the COMP levels increased with BMI (for BMI > 17) and were found to be 3.2-fold higher in study group than that of the control one (Fig. 1C). This study did not show any specific nature of variations of COMP levels with radiological grading, Hb (Fig. 2B), TNF-a (Fig. 2C), and ESR (Fig. 2D). DISCUSSION Till date, the diagnosis of knee OA is traditionally done by radiographs and by pain intensity caused due to joint tissue degeneration. It is therefore, realised that attention must be focused on developing assays for molecular markers which are derived from cartilage and its degradation. It has been reported that pentameric COMP binds to collagen I/collagen II29 and collagen IX30 with high affinity via the C-terminal globular domains. Indeed, COMP appears to function as a catalyst in collagen fibril formation.31 The utility of COMP as a diagnostic biomarker is less well examined than its role in prognosis or progression monitoring. The increased release of fragments of COMP, into serum in rheumatoid23,24 and reactive arthritis has already been reported.31,32 This study was thus designed to evaluate diagnostic and prognostic value of COMP as biochemical markers in the included patients of OA and its relation to disease severity and progression and the results thereby obtained are presented in Table 1 and in Figures 1 and 2, respectively. This study reports that the concentrations of COMP in primary OA were found to be increased over reference levels in the early stages of knee OA development (Fig. 1A). The increased release of COMP into serum during primary early OA is presumably due to series of catabolic events undergoing in articular cartilage which results in high turnover rate by the chondrocytes in order to repair the cartilage matrix. This process led first to dismantling of cartilage matrix and then a net loss of tissue. In the later stages of disease (more than a period of 51 =2 years), JOURNAL OF ORTHOPAEDIC RESEARCH JULY 2013 1004 VERMA AND DALAL there remains the saturation level of COMP fragments indicating the destruction of cartilage matrix to an extent beyond repair mechanism. It may be inferred that the serum COMP level declines with increase in disease duration (Fig. 1A). The serum COMP level decreases in advanced stages of OA as in prolong course of these pathologic remodelling events, the number of chondrocytes declines and they fail in their function to restore the matrix, which culminates into a mode favoring degradation over synthesis of ECM. Another study corroborates this observation to the fact that there are proteinases active in the affected cartilage matrix which has the capability to degrade molecules of the matrix including COMP.33 Moreover, it has been observed that the range of serum COMP for majority (83%) of OA-affected individuals did not overlap with that of unaffected individuals (age >48 years) and a cross over region was observed in the age group of 44–48 years (Fig. 1B). This observation is similar to the works of Mansson B et al.34 in which it was reported that serum COMP levels remain stable until 50 years of age. These observations suggested that the changes in serum COMP levels might have prognostic significance and were consistent with a model of OA in which early signs of episodic clinical progression might have been found in the cartilage. The observation on the positive correlation between COMP level and BMI may be explained with the fact that with increase in BMI, the resulted body weight exerts more body mass load on the knee joint and causes further damage to the cartilage matrix and hence enhances the COMP level. The observations as presented in Table 1 reveal that males had 52% higher COMP levels (1516.55 ng/ ml) in comparison to females (997.76 ng/ml) for the patients suffered from OA. The observation on the low level of COMP in females with OA may be attributed to the fact that they have small size skeleton, narrow joint space, low cartilage mass, and lower bone density in relation to those of the males.35 Most of the study participants were female (60%) and the rest were 40% males. The mismatch of the sample size was due to higher number of the female subjects seeking for the clinical advice in the study institute. This finding is corroborative with the Hart et al.36 finding that females are at higher risk of OA. In general, the results of this study report that there were a few cases (i.e., 17/100) in study group subjects whose serum COMP levels were detected to be low belonging to range of (125–497 ng/ml) which overlaps with that of the control group subjects (118–589 ng/ml). The anomalous observation in these cases were with the following parameters (i) 82% of the subjects (n ¼ 17) were females with age group 44–48 years (ii) the disease duration of these 17 cases was more than 61 =2 years. The effects of these two parameters are discussed individually in the above sub-sections. JOURNAL OF ORTHOPAEDIC RESEARCH JULY 2013 Table 1 reveals statistically significant (p < 0.0001) increase in serum COMP levels in study group with age more than 60 years compared with those in the age group 40–60 years. An increase in mean serum COMP level with age was noted for both the control and the OA-affected groups. This could be attributed to the increased bone and cartilage metabolism with age. This study was not adjusted with age because at age >60 years, we had 44 patients in study group but in control group, we hardly got any individual who was not suffering from any knee trauma/pain/OA. Therefore the comparative data between the control and the study groups in the age group >60 years was not available. The age group >60 in this study was limited to the study group patients only and needs further research work to conclude the comparative COMP level with that of control group. This study showed that the COMP level had positive and significant correlation with IL-1b (corelation factor ¼ 0.7882; p < 0.001). This could be attributed to the association of IL-1b with OA which had been identified as a catabolic cytokine implicated in the pathogenesis of cartilage matrix degradation in OA.37,38 The COMP level was found to be negatively correlated with TNF-a (0.142), a pleiotropic cytokine modulating the inflammatory and immune reactions in response to infection or injury. This result was not statistically insignificant (p ¼ 0.0831). This observation may be due to a small size and demands for another study with larger population. Our observation reconfirmed the findings of another study39 which stated that the serum COMP level decreased with anti-IL-1a and IL-1b treatment and neutralization of IL-1a and IL-1b after onset of disease reduces the joint inflammation, cartilage damage, loss of matrix proteoglycan, and bone erosions. No significant correlation was observed between serum COMP level and K/L X ray score (p ¼ 0.37, data not shown) since in early disease there is damage in joint tissue which cannot be seen on a regular Xrays; but serum COMP level was very much high during early disease duration, signifying the cartilage erosion has already been started. This result is in agreement with Belcher et al.40 who could not detect any significant correlation between the markers and radiological findings. In contrast, this study did not show any statistically significant correlation (p > 0.05) between serum COMP level with Hb (p ¼ 0.28), ESR (p ¼ 0.86), or TNF-a (p ¼ 0.08) levels. This suggests that COMP appears to have a pathogenetic role that is independent of the mechanism regulating the inflammatory process pathways. Further investigations need to be carried out in this direction. In our study, the range of serum COMP levels for majority (83%) of OA-affected persons did not overlap with that of the unaffected individuals (Table 1). It is thus to conclude that the serum COMP levels may be SERUM COMP IN KNEE OA used as a diagnostic marker of OA marker along with prognostic value. The main focus of the study was how to use the information on the serum COMP level in early detection and disease prognosis of OA. For these purposes patients with clinical symptoms of OA with minimum and maximum durations were selected and this process led to recruit patients with duration as low as 4 months and as high as 12 years. The findings of the present work may be extended to classify the state of OA with duration by the use of the serum COMP level. With all these observations, it seems probable that in order to determine patients’ risk for developing OA by serum COMP level, his/her clinical profile should also be assessed which includes family history, joint injury, other visible symptoms, radiographs. The clinical profile along with serum COMP level will help the physician in better diagnosing the OA and may also contribute in managing the knee OA at the earliest stage possible. ACKNOWLEDGMENTS The authors acknowledge the grant from the Council of Scientific and Industrial Research, New Delhi. We gratefully acknowledge the patients for their trust and participation. We are also thankful to Professor A. B. Dey, MD, Department of Medicine, AIIMS and Dr. Harish Kumar, MD, Radiology for providing with diagnosed primary knee OA patients and to the Department of Biostatistics, AIIMS for analyzing the data statistically. REFERENCES 1. Altman R, Asch E, Bloch D, et al. 1986. Development of criteria for the classification and reporting of osteoarthritis. Classification of osteoarthritis of the knee. Diagnostic and Therapeutic Criteria Committee of the American Rheumatism Association. Arthritis Rheum 29:1039–1049. 2. Ishiguro N, Kojima T. 2003. The biomarker assay for cartilage destruction in rheumatoid arthritis—which molecules can reflect cartilage breakdown in RA? Clin Calcium 13:751–754. 3. Pearle AD, Warren RF, Rodeo SA. 2005. Basic science of articular cartilage and osteoarthritis. Clin Sports Med 24:1– 12. 4. Poole AR. 2002. Can serum biomarker assays measure the progression of cartilage degeneration in osteoarthritis? Arthritis Rheum 46:2549–2552. 5. Goldring MB. 2000. Osteoarthritis and cartilage: the role of cytokines. Curr Rheumatol Rep 2:459–465. 6. Towle CA, Hung HH, Bonassar LJ, et al. 1997. Detection of interleukin-1 in the cartilage of patients with osteoarthritis: a possible autocrine/paracrine role in pathogenesis. Osteoarthritis Cartilage 5:293–300. 7. Goldring SR, Goldring MB. 2004. The role of cytokines in cartilage matrix degeneration in osteoarthritis. Clin Orthop Relat Res 427:S27–S36. 8. Brinckerhoff CE, Matrisian LM. 2002. Matrix metalloproteinases: a tail of a frog that became a prince. Nat Rev Mol Cell Biol 3:207–214. 9. Goldring MB, Birkhead J, Sandell LJ, et al. 1988. Interleukin 1 suppresses expression of cartilage-specific types II and IX collagens and increases types I and III collagens in human chondrocytes. J Clin Invest 82:2026–2037. 1005 10. Richardson DW, Dodge GR. 2000. Effects of interleukin1beta and tumor necrosis factor-alpha on expression of matrix-related genes by cultured equine articular chondrocytes. Am J Vet Res 61:624–630. 11. Aigner T, Soeder S, Haag J. 2006. IL-1beta and BMPs— interactive players of cartilage matrix degradation and regeneration. Eur Cell Mater 12:49–56; discussion 56. 12. Heinegård D, Saxne T. 1991. Molecular markers of processes in cartilage in joint disease. Br J Rheumatol 30:21–24. 13. Lohmander LS, Lark MW, Dahlberg L, et al. 1992. Cartilage matrix metabolism in osteoarthritis: markers in synovial fluid, serum, and urine. Clin Biochem 25:167–174. 14. Thonar EJ. 1990. Serum keratan sulfate concentration as a measure of the catabolism of cartilage proteoglycans. Ryumachi 30:461–468. 15. Song SY, Han YD, Hong SY, et al. 2012. Chip-based cartilage oligomeric matrix protein detection in serum and synovial fluid for osteoarthritis diagnosis. Anal Biochem 420:139–146. 16. El-Arman MM, El-Fayoumi G, El-Shal E, et al. 2010. Aggrecan and cartilage oligomeric matrix protein in serum and synovial fluid of patients with knee osteoarthritis. Hosp Spec Surg J 6:171–176. 17. Recklies AD, Baillargeon L, White C. 1998. Regulation of cartilage oligomeric matrix protein synthesis in human synovial cells and articular chondrocytes. Arthritis Rheum 41:997–1006. 18. Williams FMK, Spector TD. 2008. Biomarkers in osteoarthritis. Arthritis Res Ther 10:101. 19. Clark AG, Jordan JM, Vilim V, et al. 1999. Serum cartilage oligomeric matrix protein reflects osteoarthritis presence and severity: the Johnston County Osteoarthritis Project. Arthritis Rheum 42:2356–2364. 20. Mörgelin M, Heinegård D, Engel J, et al. 1992. Electron microscopy of native cartilage oligomeric matrix protein purified from the Swarm rat chondrosarcoma reveals a fivearmed structure. J Biol Chem 267:6137–6141. 21. Hedbom E, Antonsson P, Hjerpe A, et al. 1992. Cartilage matrix proteins. An acidic oligomeric protein (COMP) detected only in cartilage. J Biol Chem 267:6132–6136. 22. DiCesare PE, Mörgelin M, Carlson CS, et al. 1995. Cartilage oligomeric matrix protein: isolation and characterization from human articular cartilage. J Orthop Res 13:422– 428. 23. Saxne T, Heinegård D. 1992. Cartilage oligomeric matrix protein: a novel marker of cartilage turnover detectable in synovial fluid and blood. Br J Rheumatol 31:583–591. 24. Forslind K, Eberhardt K, Jonsson A, et al. 1992. Increased serum concentrations of cartilage oligomeric matrix protein. A prognostic marker in early rheumatoid arthritis. Br J Rheumatol 31:593–598. 25. Månsson B, Carey D, Alini M, et al. 1995. Cartilage and bone metabolism in rheumatoid arthritis. Differences between rapid and slow progression of disease identified by serum markers of cartilage metabolism. J Clin Invest 95:1071–1077. 26. Sharif M, Saxne T, Shepstone L, et al. 1995. Relationship between serum cartilage oligomeric matrix protein levels and disease progression in osteoarthritis of the knee joint. Br J Rheumatol 34:306–310. 27. Petersson IF, Boegård T, Svensson B, et al. 1998. Changes in cartilage and bone metabolism identified by serum markers in early osteoarthritis of the knee joint. Br J Rheumatol 37:46–50. 28. Kellgren J, Lawrence JS. 1957. Radiological assessment of osteo-arthrosis. Ann Rheum Dis 16:494–502. 29. Rosenberg K, Olsson H, Mörgelin M, et al. 1998. Cartilage oligomeric matrix protein shows high affinity zinc-dependent JOURNAL OF ORTHOPAEDIC RESEARCH JULY 2013 1006 30. 31. 32. 33. 34. VERMA AND DALAL interaction with triple helical collagen. J Biol Chem 273:20397–22403. Holden P, Meadows RS, Chapman KL, et al. 2001. Cartilage oligomeric matrix protein interacts with type IX collagen, and disruptions to these interactions identify a pathogenetic mechanism in a bone dysplasia family. J Biol Chem 276:6046–6055. Halász K, Kassner A, Mörgelin M, et al. 2007. COMP acts as a catalyst in collagen fibrillogenesis. J Biol Chem 282: 31166–31173. Saxne T, Glennås A, Kvien TK, et al. 1993. Release of cartilage macromolecules into the synovial fluid in patients with acute and prolonged phases of reactive arthritis. Arthritis Rheum 36:20–25. Lohmander LS, Saxne T, Heinegård DK. 1994. Release of cartilage oligomeric matrix protein (COMP) into joint fluid after knee injury and in osteoarthritis. Ann Rheum Dis 53:8–13. Månsson B, Heinegård D, Saxne T. 2000. Diagnosis of osteoarthritis in relation to molecular processes in cartilage: comment on the article by Clark et al. Arthritis Rheum 43:1425–1427. JOURNAL OF ORTHOPAEDIC RESEARCH JULY 2013 35. Jordan JM, Luta G, Stabler T, et al. 2003. Ethnic and sex differences in serum levels of cartilage oligomeric matrix protein: the Johnston County Osteoarthritis Project. Arthritis Rheum 48:675–681. 36. Hart DJ, Doyle DV, Spector TD. 1999. Incidence and risk factors for radiographic knee osteoarthritis in middle-aged women: the Chingford study. Arthritis Rheum 42:17–24. 37. Kobayashi M, Squires GR, Mousa A, et al. 2005. Role of interleukin-1 and tumor necrosis factor alpha in matrix degradation of human osteoarthritic cartilage. Arthritis Rheum 52:128–135. 38. Burrage PS, Mix KS, Brinckerhoff CE. 2006. Matrix metalloproteinases: role in arthritis. Front Biosci 11:529–543. 39. Joosten LA, Helsen MM, Saxne T, et al. 1999. IL-1 alpha beta blockade prevents cartilage and bone destruction in murine type II collagen-induced arthritis, whereas TNFalpha blockade only ameliorates joint inflammation. J Immunol 163:5049–5055. 40. Belcher C, Yaqub R, Fawthrop F, et al. 1997. Synovial fluid chondroitin and keratan sulphate epitopes, glycosaminoglycans, and hyaluronan in arthritic and normal knees. Ann Rheum Dis 56:299–307.
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