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. 2018 Apr 22;24(6):950–959. doi: 10.1177/1076029618765090

Inflammatory Biomarker Profiling in Total Joint Arthroplasty and Its Relevance to Circulating Levels of Lubricin, a Novel Proteoglycan

Kevin Galicia 1,✉, Chase Thorson 1, Andrew Banos 2, Matthew Rondina 3, William Hopkinson 2, Debra Hoppensteadt 4, Jawed Fareed 4
PMCID: PMC6714720  PMID: 29683034

Abstract

Lubricin, also known as proteoglycan 4, acts as an antiadhesive and boundary lubricant to prevent cartilage damage in healthy joints. Following injury, a decrease in synovial fluid (SF) lubricin may lead to secondary osteoarthritis (OA). Inflammatory biomarkers, such as IL-1β and TNF-α, are also implicated in the pathophysiology of OA. Interestingly, they have been shown to suppress the expression and secretion of lubricin in SF. This study aims to compare circulating levels of inflammatory biomarkers and lubricin between total joint arthroplasty (TJA) patients and healthy individuals. Doing so may better elucidate their roles in OA and extend the understanding of inflammation as a regulator of lubricin. Deidentified plasma samples were obtained 1 day preoperatively and 1 day postoperatively from patients undergoing TJA. Utilizing biochip array technology, they were profiled for IL-2, IL-4, IL-6, IL-8, IL-10, VEGF, IFN-γ, IL-1α, IL-1β, MCP-1, EGF, and TNF-α. Circulating lubricin levels were also measured using enzyme-linked immunosorbent assay. Compared to healthy controls, IL-6, IL-8, VEGF, IL-1β, MCP-1, EGF, and TNF-α were significantly increased pre- and postoperatively. Lubricin was significantly decreased. This may indicate that elevations in inflammatory cytokines initiate a cascade of events, leading to decreased lubricin, which places the joint at increased risk of developing OA.

Keywords: arthroplasty, lubricin, inflammation, osteoarthritis

Introduction

Osteoarthritis (OA) is a slow progressive degenerative joint disease of multifactorial etiology associated with cartilage destruction, subchondral bone remodeling, and inflammation of the synovium.1 Due to its predilection for lower extremity joints, such as the knee and hip, OA is the leading cause of lower extremity disability in older adults, and its incidence is rising due to an aging population and increasing obesity.2 While lifestyle modifications, nutritional supplements, oral drug therapies, intra-articular injections, and several surgical interventions have demonstrated favorable outcomes on symptomatology, there are currently no approved OA treatments capable of slowing disease progression or delaying the need for total joint arthroplasty (TJA).3,4 By 2030, the demand for total hip arthroplasty (THA) is estimated to rise 174% to 572 000, while the demand for total knee arthroplasty (TKA) is projected to rise 673% to 3.48 million.5

It has been hypothesized that OA begins, in part, following an increase in coefficient of friction (COF) due to loss of boundary lubricant in synovial fluid (SF).6 According to this hypothesis, the absence of lubrication causes elevated shear stress at the articular cartilage surface, which in turn disturbs chondrocyte metabolic function and survival. Eventually, the combination of increased friction, proteoglycan loss within the cartilage matrix, and chondrocyte apoptosis results in the full-thickness cartilage damage characteristic of end-stage OA.7–9

Lubricin, a mucinous glycoprotein encoded by the proteoglycan 4 (PRG4) gene, acts as an antiadhesive and boundary lubricant to prevent cartilage damage in healthy joints. Produced by synoviocytes and superficial zone chondrocytes, it is present in SF and on the surface of articular cartilage.10 Patients with camptodactyly-arthropathy-coxavara-pericarditis (CACP) syndrome, an autosomal recessive condition due to loss-of-function mutations in lubricin, develop early cartilage failure. Recapitulation of CACP syndrome in PRG4 gene knockout mice has demonstrated precocious cartilage changes, including surface cartilage fibrillation and the disappearance of underlying superficial zone chondrocytes.11,12

Following injury, a decrease in SF lubricin concentration may place the joint at an increased risk of wear-induced damage, leading to secondary OA.13 Common traumatic knee injuries, such as anterior cruciate ligament (ACL) tears and meniscal injuries, are strong risk factors for the development of OA.14 Several studies have shown that native and recombinant lubricin, when injected intra-articularly, has a disease-modifying effect in rodent models of post-traumatic OA.15–18 Given the ability of lubricin to reestablish boundary lubrication, provide chondroprotection, and restore low COF, intra-articular injection of lubricin may be a potential treatment for OA.10

Inflammatory cytokines, such as IL-1β and TNF-α, have also been implicated in the pathophysiology of OA. Several studies have identified elevated IL-1β levels in the SF, synovium, cartilage, and the subchondral bone layer of patients with OA.19 At the cellular level, IL-1β activates matrix degrading enzymes, induces chondrocyte apoptosis, and downregulates expression of matrix components like type II collagen and aggrecan.20 In addition, IL-1β stimulates the production of reactive oxygen species that directly damage the articular cartilage.19 TNF-α has also been observed at increased concentrations in the SF, synovium, cartilage, and the subchondral bone layer of patients with OA.19 Its action is similar to and synergistic with IL-1β, activating matrix metalloproteinases (MMPs), inducing chondrocyte apoptosis, and blocking chondrocyte synthesis of type II collagen and proteoglycans.19,21 Interestingly, IL-1β and TNF-α have both been shown to suppress the expression and secretion of lubricin. Treatment of bovine articular cartilage explants with IL-1β and TNF-α decreased the levels of both cartilage surface-associated and soluble lubricin.16,22 To date, a study comparing plasma levels of inflammatory biomarkers and lubricin between normal individuals and TJA patients pre- and postoperatively has yet to be reported.

Materials and Methods

Methods

In accordance with the institutional review board of Loyola University Chicago Health Sciences Division, deidentified samples of plasma (n = 105, age 36-86 years, with a mean age of 66 years ± 10.67) were obtained from patients undergoing THA and TKA at Loyola University Medical Center and the University of Utah Orthopedics Clinic. Plasma was isolated following blood sample collection into tubes containing 3.2% sodium citrate during routine preoperative consultations and 1 day postoperatively. They were placed into multiple aliquots to reduce the number of freeze–thaw cycles and stored at −80°C. Patients undergoing TJA revision were excluded from this study.

Utilizing Cytokine Biochip Immunoassays from Randox Laboratories Ltd (Crumlin, UK), samples were profiled for 12 cytokines and growth factors (IL-2, IL-4, IL-6, IL-8, IL-10, VEGF, IFN-γ, IL-1α, IL-1β, MCP-1, EGF, and TNF-α). Circulating lubricin levels were measured using a PRG4 enzyme-linked immunosorbent assay kit obtained from MyBioSource.com.

Controls

Samples of normal, citrated plasma were obtained from healthy individuals from the University of Utah Orthopedics Clinic (n = 35, age 50-78 years, with a mean age of 64 years ± 9.2, nonsmokers) and George King Biomedical Inc (n = 48, age 18-35 years, with a mean age of 32.5 years ± 9.7, nonsmokers). They were placed into multiple aliquots to reduce the number of freeze–thaw cycles and stored at −80°C. The University of Utah samples served as age-matched controls, while the combination of University of Utah and George King Biomedical samples served as non-age-matched, aggregate controls. A pool of normal human plasma (NHP) composed of non-age-matched pooled plasma served as a control as well.

Statistical Analysis

Statistical analysis was performed using Microsoft Excel and GraphPad Prism Software version 7. Inflammatory biomarker analysis compared TJA patient plasma values with age-matched normal plasma values from the University of Utah samples. Inflammatory biomarker analysis also compared TJA patient plasma values with non-age-matched, aggregate normal plasma values from the University of Utah and the George King Biomedical samples. Lubricin analysis compared TJA patient plasma values with pooled NHP values. Results were expressed as means ± standard error of the mean as well as percentage changes ± standard error of the mean from normal mean. Analysis of variance tests were used to identify significant differences between the control and experimental groups. A P value less than .05 was considered significant. Nonparametric Spearmen correlation tests were also used to determine correlations between 2 variables.

Results

Percentage Changes of Inflammatory Biomarkers in TJA Patients From Normal Means

Preoperative levels of IL-2, IL-4, IL-6, IL-8, IL-10, VEGF, IFN-γ, IL-1α, IL-1β, MCP-1, EGF, and TNF-α all demonstrated positive percentage changes from their respective aggregate normal means. IL-8, IL-6, and TNF-α showed the largest changes (3241% ± 6.36, 2066% ± 5.09, and 1939% ± 3.39), followed by VEGF, EGF, IL-1α, and IFN-γ (513% ± 0.76, 491% ± 0.56, 290% ± 2.11, 207% ± 1.12). IL-1β, IL-10, IL-2, and MCP1 followed with smaller changes from their respective normal means (189% ± 0.71, 117% ± 0.67, 97% ± 0.73, and 33% ± 0.06). The smallest change was demonstrated by IL-4 (6% ± 0.13; Figure 1).

Figure 1.

Figure 1.

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Percent changes in TJA patients pre-operatively from (A) aggregate normal means and (B) age-matched normal means.

When compared to their respective age-matched normal means, all preoperative levels of inflammatory biomarkers again demonstrated positive percentage changes, with the exception of IL-4. IL-8, IL-6, and TNF-α showed the largest changes (2852% ± 5.62, 2321% ± 5.69, and 1997% ± 3.49), followed by VEGF, EGF, IL-1α, and IL-1β (323% ± 0.53, 225% ± 0.31, 192% ± 1.58, and 166% ± 0.65). IFN-γ, IL-10, IL-2, and MCP-1 followed with smaller changes from their respective normal means (147% ± 0.91, 122% ± 0.68, 58% ± 0.58, and 7% ± 0.05). The only negative change was demonstrated by IL-4 (−19% ± 0.10).

Comparison of Inflammatory Biomarkers in TJA Patients Versus Aggregate Normal Controls

Preoperative levels of IL-6, IL-8, VEGF, IL-1β, MCP-1, EGF, and TNF-α all demonstrated significant increases when compared to aggregate normal controls (P = .00040, P = .00001, P < .00001, P = .02007, P = .00003, P < .0001, and P < .0001; Figures 2 and 3). Although not significant, preoperative levels of IL-2, IL-4, IL-10, IFN-γ, and IL-1α all appeared to trend toward an increase (Table 1).

Figure 2.

Figure 2.

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Comparison of IL-6, IL-8, VEGF, and IL-1ß in TJA patients pre-operatively vs aggregate normals and age-matched normals.

Figure 3.

Figure 3.

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Comparison of MCP-1, EGF, and TNFα in TJA patients pre-operatively vs aggregate normals and age-matched normals.

Table 1.

Aggregate Normal, Age-Matched Normal, Preoperative, and Postoperative Means ± SEM for All Measured Inflammatory Biomarkers.a

IL-2 (pg/mL) Aggregate normal controls 1.36 ± 0.17 IFN-γ (pg/mL) Aggregate normal controls 0.21 ± 0.03
Age-matched normal controls 1.70 ± 0.14 Age-matched normal controls 0.26 ± 0.02
Preoperative 2.69 ± 3.18 (P = .23933, P = .56900) Preoperative 0.64 ± 1.55 (P = .10567, P = .35198)
Postoperative 3.32 ± 4.30 (P = .33732, P = .69712) Postoperative 0.73 ± 2.03 (P = .25300, P = .50237)
IL-4 (pg/mL) Aggregate normal controls 1.64 ± 0.12 IL-1α (pg/mL) Aggregate normal controls 0.14 ± 0.01
Age-matched normal controls 2.14 0.10 Age-matched normal controls 0.18 ± 0.01
Preoperative 1.73 ± 1.47 (P = .72204, P = .28455) Preoperative 0.53 ± 1.71 (P = .22264, P = .48392)
Postoperative 2.09 ± 2.02 (P = .33021, P = .94392) Postoperative 0.72 ± 1.97 (P = .17438, P = .41636)
IL-6 (pg/mL) Aggregate normal controls 1.16 ± 0.10 IL-1β (pg/mL) Aggregate normal controls 0.84 ± 0.11
Age-matched normal controls 1.04 ± 0.06 Age-matched normal controls 0.92 ± 0.07
Preoperative 25.11 ± 7.78 (P = .00040, P = .02022) Preoperative 2.44 ± 2.47 (P = .02007, P = .14524)
Postoperative 131.82 ± 11.73 (P < .00001, P < .00001) Postoperative 3.43 ± 3.21 (P = .02455, P = .15409)
IL-8 (pg/mL) Aggregate normal controls 2.92 ± 0.10 MCP-1 (pg/mL) Aggregate normal controls 107.43 ± 4.37
Age-matched normal controls 3.31 ± 0.11 Age-matched normal controls 133.24 ± 4.80
Preoperative 97.60 ± 13.80 (P = .00001, P = .00410) Preoperative 142.61 ± 7.99 (P = .00003, P = .42631)
Postoperative 187.07 ± 17.26 (P < .00001, P = .00039) Postoperative 164.04 ± 9.76 (P < .00001, P = .06886)
IL-10 (pg/mL) Aggregate normal controls 0.67 ± 0.03 EGF (pg/mL) Aggregate normal controls 3.39 ± 0.50
Age-matched normal controls 0.65 ± 0.03 Age-matched normal controls 6.16 ± 0.67
Preoperative 1.45 ± 2.14 (P = .30792, P = .12343) Preoperative 20.02 ± 4.39 (P < .00001, P = .00006)
Postoperative 2.68 ± 2.37 (P = .00134, P = .03512) Postoperative 23.97 ± 5.12 (P < .00001, P = .00012)
VEGF (pg/mL) Aggregate normal controls 7.09 ± 0.47 TNF-α (pg/mL) Aggregate normal controls 1.70 ± 0.09
Age-matched normal controls 10.26 ± 0.57 Age-matched normal controls 1.65 ± 0.07
Preoperative 43.46 ± 7.44 (P < .00001, P = .00059) Preoperative 34.58 ± 7.68 (P < .00001, P = .00126)
Postoperative 63.33 ± 8.53 (P < .00001, P = .00003) Postoperative 42.69 ± 8.67 (P < 0.00001, P = .00161)
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Abbreviation: SEM, standard error of the mean.

a P values obtained by analysis of variance (ANOVA) are displayed as (P, P′), where P refers to the comparison of total joint arthroplasty (TJA) patients versus aggregate normal controls and P′ refers to the comparison of TJA patients versus age-matched normal controls.

Note: Statistically significant P values are bolded.

Postoperative levels of IL-6, IL-8, IL-10, VEGF, IL-1β, MCP-1, EGF, and TNF-α all demonstrated significant increases when compared to aggregate normal controls (P < .0001, P < .00001, P = .00134, P < .00001, P = .02455, P < .00001, P < .00001, and P < .00001; Figures 4 and 5). Although not significant, postoperative levels of IL-2, IL-4, IFN-γ, and IL-1α all appeared to trend toward an increase (Table 1). When compared to their respective preoperative plasma concentrations, only postoperative concentrations of IL-6, IL-8, and VEGF demonstrated a significant difference (P < .00001, P = .010548, and P = 0.027726).

Figure 4.

Figure 4.

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Comparison of IL-6, IL-8, IL-10, and VEGF in TJA patients post-operatively vs aggregate normals and age-matched normal.

Figure 5.

Figure 5.

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Comparison of IL-1ß, MCP-1, EGF, and TNF-α in TJA patients post-operatively vs aggregate normals and age-matched normals.

Comparison of Lubricin in TJA Patients Versus Pooled NHP

Pre- and postoperative levels of lubricin showed significant decreases when compared to normal controls (P < .00001, P < .00001). Postoperative levels of lubricin were not statistically changed when compared to preoperative levels (P = .39223; Figure 6).

Figure 6.

Figure 6.

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Comparison of Lubricin in TJA patients pre- and post-operatively vs normal human pooled plasma.

Correlations Between Inflammatory Biomarkers and Lubricin

IL-1β levels showed a significant negative correlation with lubricin levels (Spearman r = −0.66127, P = .00650; Figure 7A). TNF-α levels also showed a significant negative correlation with lubricin levels (Spearman r = −0.57647, P = .02150; Figure 7B).

Figure 7.

Figure 7.

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Correlations with Lubricin. (A) IL-1ß vs. Lubricin. (B) TNF-α vs. Lubricin.

Discussion

The development of disease-modifying treatments of OA has not progressed for decades. Unlike rheumatoid arthritis, for which synthetic and biological disease-modifying antirheumatic drugs have emerged to reverse or reduce the progression of joint damage, OA remains ever elusive with its current gamut of therapeutics limited to symptomatic relief.3,4,23,24 Identifying pharmacologic targets, local or systemic, that can slow OA or delay the need for TJA would be a major medical advance.

The objective of this study was to investigate circulating levels of inflammatory biomarkers and lubricin in TJA patients. Doing so further elucidated their individual roles in the pathogenesis of OA and extended the understanding of inflammation as a regulator of lubricin. In addition, further support is provided for lubricin and anticytokine therapies as potential disease-modifying treatments of OA.

In measuring plasma concentrations of inflammatory biomarkers, IL-6, IL-8, VEGF, IL-1β, MCP-1, EGF, and TNF-α were found to be significantly elevated preoperatively compared to normal controls. This observation is consistent with the current literature, which implicates each of these circulating biomarkers in various pathophysiologic processes observed in OA. IL-6 promotes bone resorption and shows synergy with IL-1β and TNF-α,25,26 while IL-8 has been shown to induce cartilage degeneration.27 VEGF, more commonly known as a potent angiogenic factor, can also act as a destructive factor to cartilage in OA. In vitro, it was shown to be induced in chondrocytes by high-intensity impact stress and to act as an autocrine inducer of MMPs.28 IL-1β, as mentioned before, activates matrix degrading enzymes, downregulates matrix components, induces chondrocyte apoptosis, and causes oxidative damage to articular cartilage.19,20 MCP-1, a monocyte/macrophage chemokine, is thought to expedite cartilage damage by enhancing chondrocyte apoptosis while inhibiting their proliferation. Additionally, stimulating its expression in wild-type chondrocytes was shown to increase MMPs.29 High concentrations of EGF have been found in the SF and synovium of patients having joint disease.30,31 And finally, TNF-α, as previously discussed, induces the synthesis of MMPs and inhibits the synthesis of proteoglycans and type II collagen within the synovium.19,21

Plasma concentrations of IL-2, IL-4, IL-10, IFN-γ, and IL-1α were not significantly different between preoperative TJA patients and normal controls. Nonetheless, these inflammatory biomarkers all appeared to trend toward an increase. This suggests that they too may demonstrate significant elevations if a similar study were conducted with a larger TJA patient population and greater statistical power. Elevations would be consistent with previous studies showing increased SF levels of IL-2, IL-4, IL-10, IFN-γ, and IL-1α in patients with OA.32–35 In the case of IL-4 and IL-10, it is also possible that the anti-inflammatory response was insufficient or lacking in these patients, especially given the fact that they had OA extensive enough to require TJA. Recent work has demonstrated the strong chondroprotective effects of these cytokines. IL-4 was found to inhibit proteoglycan degradation and MMP secretion,36,37 while IL-10 was shown to reduce MMP production, inhibit chondrocyte apoptosis, and increase proteoglycan synthesis.19,38,39 Thus, in their paucity or absence, it is plausible that patients progress more rapidly toward end-stage OA and ultimately TJA. It may be of future interest to examine the plasma of patients with early-stage OA to determine if more of an equilibrium is maintained between anti- and pro-inflammatory cytokines.

Altogether, these preoperative inflammatory biomarker findings provide further evidence in support of the inflammatory theory of OA. Traditionally classified as a noninflammatory arthritis or disease of “wear and tear,” it is becoming more apparent that inflammatory mediators also play a role in the initiation and perpetuation of the OA process.40

Postoperatively, plasma concentrations of IL-6, IL-8, IL-10, VEGF, IL-1β, MCP-1, EGF, and TNF-α were all found to be significantly elevated when compared to normal controls. IL-2, IL-4, IFN-γ, and IL-1α, on the other hand, were not found to be significantly different. This exposes a major limitation of the current study; it lacks the ability to distinguish between changes due to postsurgical trauma and changes due to other sources of inflammation, like OA. However, in comparing pre- and postoperative levels of inflammatory biomarkers, it may be possible to isolate surgically induced changes. In this study, only IL-6, IL-8, and VEGF demonstrated significant increases between pre- and postoperative concentrations. This may indicate that postoperative elevations of IL-6, IL-8, and VEGF from normal samples were surgically induced, while the other postoperative increases from normal samples were already present in the circulation due to OA. Such a conclusion is supported by research demonstrating that both IL-6 and IL-8 peak in the first 6 to 12 hours after TJA, then decrease to their respective baselines by 48 to 72 hours postoperatively.41,42 Plasma levels of VEGF have also been shown to increase after major surgery,43 though additional investigation is needed to observe this following TJA specifically. Postoperative increases in IL-10, IL-1β, MCP-1, EGF, and TNF-α are again consistent with various pathophysiologic processes observed in OA, as cited above.

In regard to lubricin, both pre- and postoperative circulating levels were found to be significantly reduced when compared to normal controls. This decrease was unexpected, as previous work done in this laboratory has shown significant elevations in pre- and postoperative lubricin levels when compared to normal controls.44 In both studies, lubricin antigen levels were measured using a commercially available assay. It is of future interest to validate this laboratory’s findings, using additional methods of plasma lubricin measurement. This observed decrease in plasma lubricin does draw comparisons to declines in SF lubricin following ACL injury in animal models.13 This may indicate that acute or chronic insults to the joint are accompanied by local and systemic reductions in lubricin that may initiate or perpetuate OA. Moving forward, the study of plasma lubricin levels in relation to SF lubricin levels in patients undergoing TJA could be a valuable area of investigation.

Interestingly, the current study also found that decreases in plasma lubricin correlated with increases in plasma IL-1β and TNF-α. This parallels previous investigation of lubricin regulation in which exposure of synoviocytes, chondrocytes, and cartilage explants to IL-1β and TNF-α resulted in marked reductions in secreted and cartilage-bound lubricin.22 Together, these findings indicate that inflammatory cytokines may initiate a cascade of events that leads to the decreased production of lubricin, placing the joint at an increased risk of the cartilage wear characteristic of OA.

Conclusion

Herein, it is demonstrated that IL-6, IL-8, VEGF, IL-1β, MCP-1, EGF, and TNF-α are found at elevated circulating levels in TJA patients. Combined with existing literature implicating each in the pathogenesis of OA, the data presented here suggest a molecular basis of disease progression, with elevated levels of inflammatory biomarkers potentially indicative of greater degrees of OA. Furthermore, this study confirms that plasma levels of IL-6 and IL-8 are increased following TJA. A postsurgical increase in plasma VEGF was also identified. As far as lubricin, decreased concentrations in pre- and postoperative samples indicate that its decline may also play a role in the pathogenesis of OA. Coupled with correlational analysis revealing a link between lubricin and inflammatory biomarkers IL-1β and TNF-α, the data presented here extend the understanding of inflammation as a downregulator of lubricin in the setting of OA. This current study underscores the multifactorial nature of OA and further supports the potential of lubricin and anticytokine therapies as effective disease-modifying treatments of OA.

Acknowledgments

The authors gratefully acknowledge the staffs of the Department of Pathology at the Loyola University Medical Center and the University of Utah Orthopedics Clinic for the expert collection of blood samples. The authors would also like to thank members of the Hemostasis and Thrombosis Research Laboratory for their continued guidance and collaboration and Dr Ghanayam, Chair of the Department of Orthopedics, and Dr Wojick, Chair of the Department of Pathology, for their support. A special thanks to Dr Gail Hecht and Dr Brubaker for their leadership and continual support of the STAR program.

Authors’ Note: The primary author is a recipient of the Callahan Student Fellowship award from the Department of Orthopedics.

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) received no financial support for the research, authorship, and/or publication of this article.

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