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A Pilot Clinical Study of Hyperacute Serum Treatment in Osteoarthritic Knee Joint: Cytokine Changes and Clinical Effects

A Pilot Clinical Study of Hyperacute Serum Treatment in Osteoarthritic Knee Joint: Cytokine Changes and Clinical Effects

Article A Pilot Clinical Study of Hyperacute Serum Treatment in Osteoarthritic Knee Joint: Cytokine Changes and Clinical Effects

Isabel Olmos Calvo 1,* , Eszter Fodor 2 , Dorottya Kardos 3, István Hornyák 3, Adél Hinsenkamp 3, Olga Kuten-Pella 1 , Zsuzsanna Gyevnár 2,Gábor Erdélyi 4, Tamás Bárdos 4, Tamás Mirkó Paukovits 4, Krisztián Magos 4, György Béres 4, Stefan Nehrer 5 and Zsombor Lacza 2,3

1 OrthoSera GmbH, Dr. Karl-Dorrek-Straße 23-29, 3500 Krems an der Donau, Austria; [email protected] 2 Department of Sport Physiology, University of Physical Education, 44 Alkotás utca, 1123 , ; [email protected] (E.F.); [email protected] (Z.G.); [email protected] (Z.L.) 3 Institute of Translational , Semmelweis University, 26 Üllöi utca, 1085 Budapest, Hungary; [email protected] (D.K.); [email protected] (I.H.); [email protected] (A.H.) 4 Kastélypark Klinika, 15 Hajdú utca, 2890 Tata, Hungary; [email protected] (G.E.); [email protected] (T.B.); [email protected] (T.M.P.); [email protected] (K.M.); [email protected] (G.B.) 5 Center for Regenerative Medicine, Danube University, Dr. Karl-Dorrek-Straße 30, 3500 Krems an der Donau, Austria; [email protected] * Correspondence: [email protected]

  Abstract: The serum fraction of platelet-rich fibrin (hyperacute serum) has been shown to improve

Citation: Olmos Calvo, I.; Fodor, E.; cartilage cell proliferation in in vitro osteoarthritic knee joint models. We hypothesize that hyper- Kardos, D.; Hornyák, I.; Hinsenkamp, acute serum may be a potential regenerative therapeutic for osteoarthritic knees. In this study, A.; Kuten-Pella, O.; Gyevnár, Z.; the cytokine milieu at the synovial fluid of osteoarthritic knee joints exposed to hyperacute serum Erdélyi, G.; Bárdos, T.; Paukovits, intraarticular injections was investigated. Patients with knee received three injections T.M.; et al. A Pilot Clinical Study of of autologous hyperacute serum; synovial fluid was harvested before each injection and clinical Hyperacute Serum Treatment in monitoring was followed-up for 6 months. Forty osteoarthritic-related cytokines, growth factors and Osteoarthritic Knee Joint: Cytokine structural proteins from synovial fluid were quantified and analysed by Multivariate Factor Analysis. Changes and Clinical Effects. Curr. Hyperacute serum provided symptomatic relief regarding pain and joint stability for OA patients. Issues Mol. Biol. 2021, 43, 637–649. Both patients “with” and “without effusion knees” had improved VAS, KOOS and Lysholm-Tegner https://doi.org/10.3390/cimb43020046 scores 6 months after of hyperacute serum treatment. Synovial fluid analysis revealed two main clusters of proteins reacting together as a group, showing strong and significant correlations with Received: 4 June 2021 Accepted: 7 July 2021 their fluctuation patterns after hyperacute serum treatment. In conclusion, hyperacute serum has a Published: 9 July 2021 positive effect in alleviating symptoms of osteoarthritic knees. Moreover, identified protein clusters may allow the prediction of protein expression, reducing the number of investigated proteins in

Publisher’s Note: MDPI stays neutral future studies. with regard to jurisdictional claims in published maps and institutional affil- Keywords: knee osteoarthritis; hyperacute serum; cytokines; VAS; KOOS; Lysholm-Tegner; matrix iations. metalloprotease; interleukin

Copyright: © 2021 by the authors. 1. Introduction Licensee MDPI, , . Osteoarthritis (OA) is a degenerative musculoskeletal disease that mainly affects This article is an open access article weight-bearing joints leading to articular cartilage and subchondral bone destruction. distributed under the terms and Knees are one of the most affected joints in OA, reaching a prevalence of 3.64% of the conditions of the Creative Commons worldwide population (which equals to 250 million people) [1]. With an expected increase Attribution (CC BY) license (https:// in human lifespan, the prevalence of OA will rise in the next decades, leading to a significant creativecommons.org/licenses/by/ economic burden increment. Nowadays, once the OA joint is injured, pharmacologic 4.0/).

Curr. Issues Mol. Biol. 2021, 43, 637–649. https://doi.org/10.3390/cimb43020046 https://www.mdpi.com/journal/cimb Curr. Issues Mol. Biol. 2021, 43 638

treatments are focused on alleviating symptoms and as a last resort, the joint is replaced. Intraarticular (IA) joint injections with different therapeutics such as hyaluronic acid (HA) or platelet-rich plasma (PRP) are used as a pre-operative and have been widely studied [2,3]. PRP is a blood-derived product that has become the focus of attention as potential first- line therapy in OA [4,5]. Several studies have shown that PRP has beneficial effects on pain and mobility when injected into the knee joint at various stages of knee degeneration [6]. Similar results were published for other blood derivatives such as autologous conditioned serum, plasma rich in growth factors and more recently autologous protein solution [7–12]. The published body of evidence is reaching a point that some now consider PRP their first choice for non-operative treatment [13]. However, some large and well-controlled studies failed to confirm the positive effects seen in smaller cohorts, raising doubts about whether it is justified to widen the use of PRP to the general OA population [14–17]. A key issue that hinders further protocol optimization is the unclear mode of action [18]. Therefore, in vitro models of the osteoarthritic joint are helpful to understand what exactly is to be expected from blood derivative treatments [19,20]. Moreover, there is controversy about the lack of standardization of PRP production, leading to multiple formulations and variability [21]. This has been overcome by the development of hyperacute serum, a similar blood- derived product created by centrifuging freshly drawn blood in a glass tube, which activates the coagulation cascade. A fibrin clot that traps exclusively aggregated platelets is formed. By pressing this fibrin clot, hyperacute serum is extracted, in a process that takes 8 min from blood drawing, before the inflammatory process begins. In our previous studies we have extensively investigated PRP varieties and observed that hyperacute serum has a more reliable effect than PRP when comparing proliferation of various cells and tissues [22,23]. This serum preparation differs from PRP by the harvesting and the activation route and has a different growth factor and cytokine composition [22,24,25]. Previous experimental studies showed that the supplementation of hyperacute serum to cell culture medium has proliferative effects on bone, cartilage and mesenchymal stem cells and can restore the regenerative potential of the bone marrow niche to a similar extent than bone morphogenic proteins [26]. The regenerative effect of hyperacute serum was observed not just at the cellular level but also in the complete osteoarthritic joint. Kardos et al., performed a study with hyperacute serum on an in vitro explant co-culture model of OA knee and showed promising results in human studies [19]. To assess firstly, the safety and feasibility; and secondly, the possible benefits from hyperacute serum IA treatment in OA knees, patient reported outcomes together with synovial fluid samples were gathered. Lysholm-Tegner score, visual analog scale (VAS) and the knee injury and osteoarthritis outcome score (KOOS) are commonly used indicators for similar clinical studies in the context of OA [27–31]. Synovial fluid is an easily harvestable specimen that has the potential of been used as an indicator in the stage of the disease. Previous studies investigated the correlation between cytokine levels in the synovial fluid and the severity of OA [32,33]. Multiple cytokines have been shown to play a role or to be up- or downregulated during OA; however, neither one of them has revealed a strong enough correlation to be used as a unique marker for the disease or for the prediction of a treatment. Therefore, a group of 40 proteins relevant in OA joints were analyzed in this study (Suppl. Table S1) [32–63]. In the current clinical study, hyperacute serum was firstly used in vivo OA patients showing that IA administration of the mentioned therapeutic was not only safe but also induced a clinical improvement of OA knees. Protein changes induced at the synovial fluid after hyperacute serum therapy were quantified and analyzed to better identify and understand its molecular mode of action. Curr. Issues Mol. Biol. 2021, 1, FOR PEER REVIEW 3

Curr. Issues Mol. Biol. 2021, 43 639 2. Materials and Methods 2.1. Hyperacu2. Materialste Serum and Isolation Methods Blood2.1. samples Hyperacute were Serum obtained Isolation from patients of both sexes aged 24–58 years. Eighteen ml venous bloodBlood sampleswas taken were by obtained venipuncture from patients from of the both patients sexes aged with 24–58 the years. hypACT Eighteen Inject ml venous blood was taken by venipuncture from the patients with the hypACT Inject device (OrthoSera Kft, Budapest, Hungary), which was immediately centrifugated at device (OrthoSera Kft, Budapest, Hungary), which was immediately centrifugated at 1710× g 1710for 8× ming for [64]. 8 min After [64]. centrifugation, After centrifugation, the red the redblood blood cell cell containing containing fraction fraction was re- moved andremoved hyperacute and hyperacute serum serum was pressed was pressed out out from from the the clotted clotted plateletplatelet rich rich fibrin fibrin clot clot and givenand back given to back the topatient’s the patient’s knee knee joint joint right right after after centrifugation centrifugation (Figure (Figure1). 1).

Figure 1.Figure Schematic 1. Schematic of the medical of the medical procedure. procedure. Firstly, Firstly, when when possible, possible, synovial synovial fluidfluid was was collected collected from the frompatient’s the patient’s knee. Then, knee. Then, blood blood was was taken taken and and hyperacute hyperacute serumserum was was obtained obtained from from it. Hypera- it. Hy- peracute cuteserum serum was was finally finally intraarticularly intraarticularly injected. injected. 2.2. Intraarticular Serum Treatment 2.2. IntraarticularPatients Serum (n = 24) Treatment with knee osteoarthritis received three intraarticular injections of 3 mL Patientsautologous (n = hyperacute24) with knee serum osteoarthritis at weekly intervals received (IRB approvalthree intraarticular number 6909/2017/EKU; injections of 3 mL autologouson the 17 February hyperacute 2017). Inclusion serum and at exclusionweekly criteria intervals are shown (IRB in approval Suppl. Table number S2 and patient information in Suppl. Table S3. Before each injection, withdrawal of excess 6909/2017/EKU; on the 17 February 2017). Inclusion and exclusion criteria are shown in synovial fluid was attempted and when available it was immediately frozen and kept at Suppl. Table−80 ◦ CS2 until (Table cytokine S2) and analysis. patient Clinical information signs of acute in Suppl. inflammation Table S were3 (Table registered S3). Before by each injection,palpation withdrawal and surface heatof excess mapping. synovial Pain (VAS) fluid and was mobility attempted (Lysholm-Tegner and when and available KOOS) it was immediatelywere monitored frozen at each and office kept visit,at −80 e.g., °C before, until aftercytokine 1 and 2analysi weekss. and Clinical at 3- and signs 6-months of acute inflammationpost-injection were (Figureregistered2). by palpation and surface heat mapping. Pain (VAS) and mobility2.3. (Lysholm Cytokine- MeasurementsTegner and KOOS) were monitored at each office visit, e.g., before, after 1 and 2 weeks and at 3- and 6-months post-injection (Figure 2). A literature review on cytokines, growth factors and other proteins located in os- teoarthritic synovial fluid was conducted and 40 proteins which were described to play a role in OA were identified. The 40 measured proteins include: IL-1β, IL-6Ra, IL-2, IL-5, IL-7, IL-12, IL-15, IL-17a, IL-18, IL-22, IL-23, IL-31, CCL-1, CCL-2/MCP-1, CCL-3/MIP- 1α, CCL-5/RANTES, CXCL-8/IL-8, CXCL-10/IP-10, fractalkine/CX3CL1, CD-163, TNFα, OSM, LIF, resistin/ADSF, VEGF-A, IL-1Ra, IL-4Ra, IL-10, IL-13, MMP-1, MMP-2, MMP-3, MMP-9, MMP-13, COL1A1, ACAN, ON/SPARC, IFNγ, IL-33, TRANCE/RANKL. A cus- tom Human Magnetic Luminex Assay (R&D System Inc., Minneapolis, MN, USA) was designed, and all 40 factors were quantified in the biological samples by Magpix Luminex Xmap Technology (Thermofisher Scientific, Waltham, MA, USA), previous treating the samples with hyaluronidase enzyme solution (Sigma, St. Louis, MO, USA, H4272-30 mg) in order to reduce the viscosity of HA. Differential protein level “before treatment” and

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Curr. Issues Mol. Biol. 2021, 1, FOR PEER“2weeks REVIEW after treatment” was calculated and correlated to the rest of proteins. Lastly, Mul- 4 tivariate Factor Analysis was performed with the software Statistica (version 9, StatSoft, Hamburg, ).

FigureFigure 2.2.Flow Flow diagram diagram of participant of participant enrolment, enrolment, allocation, allocation, follow-up and follow analysis-up of and the studyanalysis trial. of the study trial.2.4. Statistical Analysis Data were analyzed with one-way analysis of variance (ANOVA) and Tukey’s post 2.3.hoc Cytokine test, Pearson’s Measurements correlation and factor analysis. Prism 8 software (Irvine, CA, USA), SPSSA was literature used for statisticalreview on analysis. cytokines, Significance growth level factors was p >and 0.05. other Data proteins are presented located as in osteo- arthriticmean + SEM. was conducted and 40 proteins which were described to play a role in3. ResultsOA were identified. The 40 measured proteins include: IL-1β, IL-6Ra, IL-2, IL-5, IL-7, IL-12,To IL investigate-15, IL-17a, whether IL-18, hyperacuteIL-22, IL-23, serum IL-31, directly CCL-1, induced CCL-2/MCP benefits-1, in CCL OA knees,-3/MIP-1α, CCL- 5/RANTES,patients were CXCL monitored-8/IL- up8, CXCL to 6 months-10/IP- and10, thefractalkine/CX3CL1, effects were evaluated CD- with163, patientTNFα, OSM, LIF, resistin/ADSF,reported outcomes, VEGF focusing-A, IL on-1Ra, pain IL reduction-4Ra, IL and-10, mobility IL-13, MMP improvement-1, MMP in- everyday2, MMP-3, MMP-9, MMPtasks and-13, sports.COL1A1, It is ACAN, known thatON/SPARC, occurrence IFNγ, of knee IL effusion-33, TRANCE/RANKL. is more common at A an custom Hu- manearly Magnetic stage of the Luminex disease; therefore,Assay (R&D and System due to the Inc., physiological Minneapolis, differences US) was between designed, and all patients, they were divided into two subgroups: “patients without effusion” (also called 40 factors were quantified in the biological samples by Magpix Luminex Xmap Technol- “dry knee”) (n = 13) and “patients with effusion” (n = 9). For both groups, hyperacute ogyserum (Thermofisher demonstrated a steadyScientific, improvement Waltham, when M examiningA, USA), patient’sprevious knee treating instability, the pain, samples with hyaluronidaseswelling, mechanical enzyme locking, solution stair climbing (Sigma and, St. squatting, Louis, MO as shown, USA with, H4272 an increasing-30 mg) in order to reduceLysholm-Tegner the viscosity score over of HA. time (Differentialp < 0.001). The protein subgroup level of “patients “before without treatment” effusion”, and “2 weeks afterhad lower treatment” pain level was and calculated better mobility and bycorrelated the beginning to the of therest therapy of proteins. when comparedLastly, Multivariate Factorto patients Analysis with effused was performed knee. Nevertheless, with th aftere software 6 months Statistica of hyperacute (version serum 9, treatment, StatSoft, Hamburg, pain and mobility were nearly the same for both subgroups. Same positive outcome was Germany). confirmed over time by Visual Analog Scale (VAS) and Knee Injury and Osteoarthritis Outcome Score (KOOS) measurements (p = 0.026 and p = 0.006, respectively) (Figure3). 2.4. StatisticalFrom the 24 Analysis patients investigated only 9 yielded before-after synovial fluid samples. This isData partly were due analyzed to the fact thatwith in one the early-way stages analysis of OA of the variance joint is not(ANOVA) yet effused and (‘dry Tukey’s post hoc test, Pearson’s correlation and factor analysis. Prism 8 software (Irvine, CA, USA), SPSS was used for statistical analysis. Significance level was p > 0.05. Data are presented as mean + SEM.

3. Results To investigate whether hyperacute serum directly induced benefits in OA knees, pa- tients were monitored up to 6 months and the effects were evaluated with patient reported outcomes, focusing on pain reduction and mobility improvement in everyday tasks and sports. It is known that occurrence of knee effusion is more common at an early stage of the disease; therefore, and due to the physiological differences between patients, they

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were divided into two subgroups: “patients without effusion” (also called “dry knee”) (n Curr. Issues Mol. Biol. 2021, 43 641 = 13) and “patients with effusion” (n = 9). For both groups, hyperacute serum demon- strated a steady improvement when examining patient’s knee instability, pain, swelling, mechanicalpainful locking, knee’) or thatstair some climbing samples and were squatting, stained with as blood.shown Moreover, with an 6 increasing months after Lysholm- treatment, sample size was 7, as 2 patients improved considerably, and it was not possible Tegnerto score obtain over synovial time fluid (p < from 0.001). them The anymore. subgroup We investigated of “patients whether without there effusion”, were any sig- had lower pain levelnificant and changes better in mobility the cytokine by levels the beginning of the patients of beforethe therapy and after when treatment. compared Although to patients with effusedno individual knee. differences Nevertheless, in the mean after cytokine 6 months level of of hyperacute the patients over serum time treatment, (considering pain and mobilitythe measurementswere nearly beforethe same treatment, for both at week subgroups. 1 and at week Same 2) couldpositive be identified, outcome probably was confirmed over timedue to by the Visual low sample Analog size (Suppl. Scale Table (VAS) S1); and according Knee to Injury the multivariate and Osteoarthritis general linear Outcome model Roy’s Largest Root, there was a significant change in the cytokine levels as a result Score of(KOOS) the serum measurements therapy at week (p 2 (=p 0=.026 0.023). and p = 0.006, respectively) (Figure 3).

Figure 3. Graphs showing the Lysholm-Tegner (A), VAS (B) and KOOS (C) scores. Clinical data after 6-month follow-up Figure 3. Graphsafter hyperacute showing serum the treatmentLysholm in-Tegner OA knee (A at), different VAS (B time) and points: KOOS before (C) the scores. treatment, Clinical and after data it atafter week 6- 1,month week 2,follow-up after hyperacute3 months serum and 6 months.treatment Red in represents OA knee the at clinical different data from time patients points: with before effusion the in treatment, the knees and and black, after without it at effusion. week 1, week 2, 3 months and 6 months. Red represents the clinical data from patients with effusion in the knees and black, without effu- sion. Multivariate Factor Analysis was used to investigate clusters of cytokines that may react similarly to a common factor (Figure4). Using the data from week 2 and based Fromon Eigenvalue the 24 patients score, 2 investigated main groups, whichonly 9 included yielded 24 before out of-after the total synovial 40 measured fluid samples. cytokines, were identified. The 11 molecules clustered in Group A included the proin- This isflammatory partly due cytokines to the fact IL-1 βthat, IL-13 in the and early IL-33, thestages anti-inflammatory of OA the joint cytokine is not IL-10; yet effused the (‘dry painfulIL-1 knee’) receptor or antagonist,that some IL-1Ra; samples chemokines were stained such as IL-8with and blood. fractalkine Moreover, (CX3CL1); 6 months the after treatment,matrix sample metalloproteinase size was MMP-9;7, as 2 patients the peptide improved hormone resistin; considerably, the cytokine and IFN itγ wasand not the possible to obtainligand synovial for the RANK fluid receptor from them (RANKL), anymore. involved We in boneinvestigated resorption throughwhether osteoclast there were any activation. According to the Multivariate Factor Analysis performed, Group B was more significantdisperse changes and therefore in the less cytokine homogeneous levels in termsof the of similarpatients reaction before patterns and toafter hyperacute treatment. Alt- houghserum. no individual Group B included differences the proinflammatory in the mean cytokinescytokine TNF levelα, IL-5,of the IL-2, patients IL-12p70, over IL-22 time (con- sideringand the IL-23; measurements metalloproteinase before MMP-3; treatment, chemokine at CCL3(MIP1week 1 andα); at the week pleotropic 2) could cytokines be identified, probablyleukemia due inhibitoryto the low factor sample (LIF) andsize oncostatin (Suppl. Table (OSM); S1); and according other proteins to thatthe playmultivariate a role gen- in inflammatory processes and extracellular matrix structural support, such as the vascular eral linear model Roy’s Largest Root, there was a significant change in the cytokine levels endothelial growth factor A (VEGF-A), aggrecan (ACAN) and collagen type I α (COL1A1). as a resultTo of further the serum understand therapy a possible at week correlation 2 (p = 0 between.023). the cytokines identified within Multivariatethe two groups, Factor Pearson Analysis correlation was Heatmap used ofto hyperacute investigate serum-induced clusters of changescytokines was that may react similarlycalculated (Figureto a common5). Group Afactor showed (Figure a strong 4). and Using significant the data correlated from pattern week between 2 and based on 2 Eigenvalueall cytokines, score, except 2 main for resistingroups, (most which r > included 0.75, as represented 24 out of in the Figure total5A). 40 Strikingly, measured cyto- only IL-1β correlated negatively. On the other hand, in group B most of the correlations kines,were were weak identified. as shown The in Figure 11 molecules5B. However, clustered a subgroup in Group consisting A included of VEGF-A, the ACAN, proinflamma- tory cytokinesMIP-1α, IL-22, IL-1β, IL-2, IL IL-23-13 andand OSM IL-33, presented the anti a strong-inflammatory correlation withcytokine each other IL-10; (most the IL-1 re- ceptorr 2antagonist,> 0.85), suggesting IL-1Ra; that chemokines not all group B,such but theseas IL seven-8 and proteins fractalkine behave (CX3CL1); similarly after the matrix metalloproteinasehyperacute serum MMP IA treatment-9; the peptide (Figure 5hormoneB). resistin; the cytokine IFNγ and the ligand for the RANK receptor (RANKL), involved in bone resorption through osteoclast activa- tion. According to the Multivariate Factor Analysis performed, Group B was more dis- perse and therefore less homogeneous in terms of similar reaction patterns to hyperacute serum. Group B included the proinflammatory cytokines TNFα, IL-5, IL-2, IL-12p70, IL- 22 and IL-23; metalloproteinase MMP-3; chemokine CCL3(MIP1α); the pleotropic cyto- kines leukemia inhibitory factor (LIF) and oncostatin (OSM); and other proteins that play a role in inflammatory processes and extracellular matrix structural support, such as the

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vascular endothelial growth factor A (VEGF-A), aggrecan (ACAN) and collagen type I α vascular endothelial growth factor A (VEGF-A), aggrecan (ACAN) and collagen type I α Curr. Issues Mol. Biol. 2021, 43 (COL1A1). 642 (COL1A1).

Figure 4. Subgroups of investigated cytokines (n = 24) after principal component analysis. The FigureFigure 4. 4. SubgroupsSubgroups of investigated cytokines ((nn == 24)24) afterafter principalprincipal componentcomponent analysis. analysis. The The factor factor analysis suggested 2 main factors one containing 11 and other 13 cytokines. With the help of factoranalysis analysis suggested suggested 2 main 2 main factors factors onecontaining one containing 11 and 11 otherand other 13 cytokines. 13 cytokines. With With the the help help of theof the factor analysis, we were able to reduce the number of variables. thefactor factor analysis, analysis, we we were were able able to reduce to reduce the the number number of variables. of variables. To further understand a possible correlation between the cytokines identified within ToThis further high correlationunderstand suggestsa possible that correlation cytokines between belonging the cytokines to the same identified group orwithin clus- the two groups, Pearson correlation Heatmap of hyperacute serum-induced changes was theter two may groups, fluctuate Pearson together. correlation To gain Heatmap a better of understanding hyperacute serum in known-induced protein–protein changes was calculated (Figure 5). Group A showed a strong and significant correlated pattern between calculatedinteractions (Figure of the 5). two Group groups, A showed further a network strong and analysis significant using correlated the STRING pattern database between was all cytokines, except for resistin (most r2 > 0.75, as represented in Figure 5A). Strikingly, allperformed cytokines, (Figure except6 ).for STRING resistin (most analysis r2 > showed 0.75, as thatrepresented connectivity in Figure rates 5A). were Strikingly, slightly only IL-1β correlated negatively. On the other hand, in group B most of the correlations onlyhigher IL- for1β groupcorrelated A (Figure negatively.6A) as On it had the 47other connections hand, in group between B most 11 proteins; of the correlations and group were weak as shown in Figure 5B. However, a subgroup consisting of VEGF-A, ACAN, wereB (Figure weak6B) as revealedshown in 47 Figure connections 5B. However, between a subgroup 13 proteins, consisting resulting of in VEGF 4.27- andA, ACAN, 3.61 of MIP-1α, IL-22, IL-2, IL-23 and OSM presented a strong correlation with each other (most MIPconnectivity-1α, IL-22, rate, IL-2, respectively. IL-23 and OSM Moreover, presented when a lookingstrong correlation at the confidence with each of the other data (most sup- r2 > 0.85), suggesting that not all group B, but these seven proteins behave similarly after rporting2 > 0.85), those suggesting connections, that not represented all group B, by but the these thickness seven of proteins the lines, behave group similarly A was higher after hyperacute serum IA treatment (Figure 5B). hyperacutewhen compared serum to IA group treatment B. (Figure 5B).

FigureFigure 5. 5. Pearson’sPearson’s correlation correlation heatmaps heatmaps of of the the two two identified identified protein protein grou groupsps after after Multivariate Multivariate Factor Factor Analysis. Analysis. Cytokines Cytokines Figure 5. Pearson’s correlation heatmaps of the two identified protein groups after Multivariate Factor Analysis. Cytokines belongingbelonging to to group group A A (left (left panel), panel), presented presented strong strong to tovery very strong strong correlation correlation (p < ( p0.05),< 0.05), with with the exception the exception of resistin of resistin (A). belonging to group A (left panel), presented strong to very strong correlation (p < 0.05), with the exception of resistin (A). Generally, group B (right panel) presented weaker correlations; however, the cluster including VEGF-A, ACAN, Generally,(A). Generally, group group B (right B (right panel) panel) presented presented weaker weaker correlations; correlations; however, however, the the clu clusterster including including VEGF VEGF-A,-A, ACAN, ACAN, CCL3/MIP-1α, IL-22, IL-2, IL-23 and OSM were highly and significantly correlated (p < 0.05) (B). Color code represents CCL3/MIPCCL3/MIP-1-1α,α ,IL IL-22,-22, IL IL-2,-2, IL IL-23-23 and and OSM OSM were were highly highly and and significantly significantly correlated correlated ( (pp < 0 0.05).05) ( (BB).). Color Color code represents positive or negative linear relationship between proteins, red and blue, respectively. White values indicate no shared trend between the proteins.

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positive or negative linear relationship between proteins, red and blue, respectively. White values indicate no shared trend between the proteins.

This high correlation suggests that cytokines belonging to the same group or cluster may fluctuate together. To gain a better understanding in known protein–protein interac- tions of the two groups, further network analysis using the STRING database was per- formed (Figure 6). STRING analysis showed that connectivity rates were slightly higher for group A (Figure 6A) as it had 47 connections between 11 proteins; and group B (Figure 6B) revealed 47 connections between 13 proteins, resulting in 4.27 and 3.61 of connectivity rate, respectively. Moreover, when looking at the confidence of the data supporting those Curr. Issues Mol. Biol. 2021, 43 connections, represented by the thickness of the lines, group A was higher when com-643 pared to group B.

FigureFigure 6. 6. PrProtein–proteinotein–protein interaction interaction analysis analysis of the of the two two identified identified groups groups by STRING by STRING database. database. NodesNodes represent represent proteins proteins and and the lines represent knownknown interactionsinteractions between between the the linked linked two two proteins. pro- teins.The thicknessThe thickness of the of the lines lines indicates indicate thes the confidence confidence of of the the data data whichwhich supportssupports this this interac- interaction. tion.Groups Group (As,B (A) are) and represented (B) are represented in the left in and the left right and panels, right panels, respectively. respectively. Color ofColor nodes of nodes does not doesgive not information. give information.

4.4. Discussion Discussion ThisThis is is the the first first pilot pilot study study of of IA IA hyperacute hyperacute serum serum interventions interventions in in OA OA patients. patients. In In thisthis study, study, safety safety and and feasibility feasibility of of the intervention waswas verifiedverified showingshowing thatthat duringduring the the 6 6months months ofof followfollow upup clinicalclinical meetings, no adverse event that that would would cause cause any any expected expected oror unexpected unexpected risk risk were were reported. reported. Minor Minor observations observations produced produced by by the the invasiveness invasiveness of of thethe procedure procedure have have been been described described for for such such IA IA infiltrations infiltrations of of PRP PRP and and HA; HA; however, however, the the possiblepossible mild mild local local pain pain spontaneously spontaneously disappears disappears within within 2 2 days days [2,65 [2,65].]. W Whenhen looking looking at at otherother blood blood-derived-derived products, products, clinical clinical trials trials have have shown shown that that PRP PRP provides provides a a significant significant improvementimprovement in in pain pain relief relief after after knee knee or or lumbar lumbar intradiscal intradiscal injections injections [66,67 [66,67].]. Same Same posi- posi- tivetive trend trend was was observed observed while while comparing comparing PRP PRP to to HA HA [68]; [68]; however however,, different different outcomes outcomes dependingdepending on the the trial trial setup setup arise arise controversy controversy in this in comparison. this comparison. Di Martino Di Martino et al. showed et al. showedthat the that positive the positive effect ofeffect PRP of in PRP OA in knees, OA knees, was only was significantlyonly significantly better better than than HA afterHA after24 months 24 months of follow-up, of follow and-up, itand failed it failed to be significantto be significan aftert longer after longer periods periods of time of [69 time]. As [69].previously As previously mentioned, mentioned, the different the different PRP preparation PRP preparation techniques techniques result in aresult high variabilityin a high variabilityof the product, of the leadingproduct, to leading an unpredictable to an unpredictable and inconclusive and inconclusive outcome outcome [21]. Hyperacute [21]. Hy- peracuteserum overcomes serum overcomes this handicap this handicap and adds and a differentadds a different composition composition in growth in growth factors fac- and torscytokines and cytokines with high with potential high potential in in vitro intissue in vitro regeneration tissue regeneration [19,25], becoming [19,25], becoming a promising a promisingtherapeutic therapeutic in OA. in OA. SynovialSynovial fluid fluid is easily easily harvested harvested from from synovial synovial joints joints and and commonly commonly used used in research in re- searchfor marker for marker identification identification in OA [in70 OA]. As [70]. shown As shown elsewhere, elsewhere, protein protein patterns patterns of the synovial of the fluid allow for the identification of distinct , which may allow patient selection synovial fluid allow for the identification of distinct pathologies, which may allow patient and targeted in the future, focusing on the therapeutic use of biologics to patients selection and targeted therapies in the future, focusing on the therapeutic use of biologics who can truly benefit from the treatment [71,72]. In this study, synovial fluid from OA patients was collected prior the first IA hyperacute serum injection and after 1 and 2 weeks of the administration. At week 2 after the first treatment, 2 out of the 9 patients from whom synovial fluid was collected, improved significantly and the extraction of excessed synovial fluid was not possible. Forty known OA-related proteins were analyzed over time by performing a Multivariate Factor Analysis showing that 24 of them clustered into 2 defined groups, indicating that these proteins may influence each other. Further statistical tests showed a high correlation within those groups suggesting that the response of some of those cytokines could be predictable. This interesting finding may allow us to reduce the number of the investigated cytokines in future studies, extrapolating to the rest of the group and, therefore, not losing important information. It could be used to follow up OA patients’ response to treatments, also during clinical trials, optimizing biological Curr. Issues Mol. Biol. 2021, 43 644

samples and experimental resources. This innovative approach was already described by Zhang et al. and performed for other diseases such as breast cancer [73,74]. Group A, except for resistin, revealed an outstandingly strong and significant cor- relation when comparing fluctuations during hyperacute serum treatment. Previous correlations between these cytokines have been already reported. For example, the ac- tivation pattern of IFNγ, IL-10 and IL-33, playing a role in osteoclast downregulation, had been previously linked [75,76]. Furthermore, IL-8 increases the level of MMP-9 in the context of the autoimmune disease Epidermolysis Bullosa Simplex [77]. Interestingly, the only cytokine in this group which correlated negatively was IL-1β, which is a well- known cytokine in OA. Although, being able to induce cartilage degradation through the activation of metalloproteinases, it has been shown in multiple clinical trials that it is not an optimal target in the treatment of OA [78–81]. On the other hand, for Group B most of the correlations were too weak and irrelevant. It is of importance to highlight the seven proteins where the correlation was strong and significant: VEGF-A, ACAN, MIP-1α, IL-22, IL-2, IL-23 and OSM; these last two correlating negatively. It is known that VEGF-A plays a crucial role in the onset of OA, resulting in cartilage degeneration due to inhibition of synthesis of ACAN [82,83]. Moreover, although correlation in OA between MIP-1α, IL-22 and IL-2 has not been previously described, it is known that they induce inflammation; and the presence of citrullinated ACAN in rheumatoid results in the upregulation of IL-2 and IL-22 [84]. Similarly to our study, Botta et al. developed an inflammatory profile for multiple myeloma where the downregulation of MIP-1α and VEGF-A predicted a better prognosis of the disease [85]. Interestingly, it is known that both OSM and IL-23 are upregulated in OA joints, having a direct effect in the inhibition of GAG production and in pain, respectively [86,87]; however, as far as our knowledge goes, there is no proven correlation between these two proteins despite behaving similarly after hyperacute serum treatment. As a pilot study, and due to the lack of a control group, the efficacy of the treat- ment could not be proven. Nevertheless, patient reported outcomes were gathered up to 6 months of follow-up showing that the quality of life of treated patients improved over time significantly. During the first stages of OA, it is common that joints present an excess of synovial fluid, also called joints “with effusion” [88]. We observed that pa- tients which such condition were more compromised. Nevertheless, the two groups of OA patients (“with” and “without effusion”) had a positive tendency and the patients reported outcomes were promising both on short and long-term effects. With the help of hyperacute serum therapy, pain level was reduced, and mobility improved. However, as an open-label study, it is not possible to ensure that hyperacute serum triggers a significantly better outcome than the placebo effect. It is well known that placebo response in OA has a considerable effect and has been widely documented, showing a significant and sometimes, a greater effect, especially in pain alleviation, when compared to different treatments in randomized trials [89,90]. Moreover, it has been shown that for IA interventions, placebo effect is even more notable when compared with less invasive and less frequent medical procedures [8,91,92]. Taking into account these considerations and the promising results observed; there is a need for a randomized controlled clinical trial of hyperacute serum to determine best candidates for this treatment, administration intervals and hyperacute serum efficacy. For this reason, it would be of interest including a comparison to certain established treatments, such as PRP, to evaluate a possible superior efficacy, as suggested by experimental data.

5. Conclusions We conclude that, after hyperacute serum treatment, no adverse events were reported, proving the safety of the therapy. Hyperacute serum treatment showed a positive effect in alleviating symptoms and providing an improvement in osteoarthritic knees in the context of pain and functionality, probably by inducing regenerative processes, especially for the patients with “effusion knees”. In this study, although no significant individual protein Curr. Issues Mol. Biol. 2021, 43 645

changes were identified from synovial fluid samples, two groups of proteins showing highly correlated fluctuations were detected after hyperacute serum treatment, suggesting that those two clusters behave as two groups; this fact was supported by protein–protein interaction analysis. Therefore, the possibility of measuring the levels some of the group members to estimate the behavior of the whole group opens new possibilities during treatment follow-up.

Supplementary Materials: The following are available online at https://www.mdpi.com/article/10 .3390/cimb43020046/s1. Table S1: List of the 40 measured cytokines and OA-related proteins with the mean expressed levels and standard errors. Table S2: Inclusion and exclusion criteria of osteoarthritic patients included in this hyperacute serum IA injection trial. Table S3. Patient information. Author Contributions: Conceptualization, Z.L.; Methodology, Z.L. and I.H.; Formal Analysis, Z.L., D.K., I.H. and A.H.; Investigation, D.K., Z.L. and E.F.; Resources, G.B., Z.G., G.E., T.B., T.M.P. and K.M.; Data Curation, D.K., E.F. and Z.L.; Writing—Original Draft Preparation, I.O.C. and E.F.; Writing—Review and Editing, Z.L., D.K., A.H. and O.K.-P.; Visualization, I.O.C. and E.F.; Supervision, Z.L.; Project Administration, Z.L.; Funding Acquisition, S.N. and Z.L. All authors have read and agreed to the published version of the manuscript. Funding: This research was partly funded by the Fund for Economy and Tourism of Lower Austria, grant number WST3-F-5030664/015-2019; Athenoe; NfB and Prototyp grants. Institutional Review Board Statement: The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board of ETT TUKEB (IRB approval number 6909/2017/EKU; on the 17 February 2017). Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. Acknowledgments: The authors are thankful to OrthoSera GmbH for providing hyperacute serum and to the research support of Semmelweis University in Budapest and Danube University in Krems. Conflicts of Interest: Authors Z.L., I.H., E.F., O.K.-P., I.O.C. and S.N. are employees, stockholders, or advisory board members of OrthoSera GmbH, a start-up company developing hyperacute serum technology towards clinical applications.

References 1. Vos, T.; Flaxman, A.D.; Naghavi, M.; Lozano, R.; Michaud, C.; Ezzati, M.; Shibuya, K.; Salomon, J.A.; Abdalla, S.; Aboyans, V.; et al. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, 380, 2163–2196. [CrossRef] 2. Taniguchi, Y.; Yoshioka, T. Intra-articular platelet-rich plasma (PRP) injections for treating associated with osteoarthritis of the knee in the Japanese population: A phase I and IIa clinical trial. Nagoya J. Med. Sci. 2018, 80, 39–51. [PubMed] 3. Zhang, W.; Nuki, G. OARSI recommendations for the management of hip and knee osteoarthritis: Part III: Changes in evidence following systematic cumulative update of research published through January 2009. Osteoarthr. Cartil. 2010, 18, 476–499. [CrossRef][PubMed] 4. De Pascale, M.R.; Sommese, L.; Casamassimi, A.; Napoli, C. Platelet derivatives in regenerative medicine: An update. Transfus. Med. Rev. 2015, 129, 52–61. [CrossRef][PubMed] 5. Filardo, G.; Kon, E.; Di Matteo, B.; Di Marino, A.; Sessa, A.; Merli, M.; Marcacci, M.; Sigascot Cartilage Committee. Leukocyte-poor PRP application for the treatment of knee osteoarthritis. Joints 2014, 1, 112–120. [CrossRef][PubMed] 6. Wasserman, A.; Matthewson, S.; Macdonald, P. Platelet-Rich Plasma and the Knee-Applications in Orthopedic . Curr. Rev. Musculoskelet. Med. 2018, 11, 607–615. [CrossRef] 7. Wang-Saegusa, A.; Cugat, R.; Ares, O.; Seijas, R.; Cusco, X.; Garcia-Balletbo, M. Infiltration of plasma rich in growth factors for osteoarthritis of the knee short-term effects on function and quality of life. Arch. Orthop. Trauma Surg. 2013, 131, 311–317. [CrossRef] 8. Rutgers, M.; Creemers, L.B.; Yang, K.G.A.; Raijmakers, N.J.; Dhert, W.J.; Saris, D.B. Osteoarthritis treatment using autologous conditioned serum after placebo. Acta Orthop. 2015, 86, 114–118. [CrossRef] 9. Frizziero, A.; Giannotti, E.; Oliva, F.; Masiero, S.; Maffulli, N. Autologous conditioned serum for the treatment of osteoarthritis and other possible applications in musculoskeletal disorders. Br. Med. Bull. 2013, 105, 169–184. [CrossRef] 10. Kon, E.; Engebretsen, L.; Verdonk, P.; Nehrer, S.; Filardo, G. Clinical outcomes of knee osteoarthritis treated with an autologous protein solution injection: A 1-year pilot double-blinded randomized controlled trial. Am. J. Sports Med. 2018, 46, 171–180. [CrossRef] Curr. Issues Mol. Biol. 2021, 43 646

11. van Drumpt, R.A.M.; van der Weegen, W.; King, W.; Toler, K.; Macenski, M.M. Safety and treatment effectiveness of a single autologous protein solution injection in patients with knee osteoarthritis. BioRes. Open Access 2016, 5, 261–268. [CrossRef] 12. Zarringam, D.; Bekkers, J.E.J.; Saris, D.B.F. Long-term effect of injection treatment for osteoarthritis in the knee by orthokin autologous conditioned serum. Cartilage 2018, 9, 140–145. [CrossRef] 13. Filardo, G.; Kon, E.; Longo, U.G.; Madry, H.; Marchettini, P.; Marmotti, A.; Van Assche, D.; Zanon, G.; Peretti, G. Non-surgical treatments for the management of early osteoarthritis. Knee Surg. Sports Traumatol. Arthrosc. 2016, 24, 1775–1785. [CrossRef] [PubMed] 14. Roffi, A.; di Matteo, B.; Krishnakumar, G.S.; Kon, E.; Filardo, G. Platelet-rich plasma for the treatment of bone defects: From pre-clinical rational to evidence in the clinical practice. A systematic review. Intern. Orthop. 2017, 41, 221–237. [CrossRef] [PubMed] 15. Mariani, E.; Canella, V.; Cattini, L.; Kon, E.; Marcacci, M.; Di Matteo, B.; Pulsatelli, L.; Filardo, G. Leukocyte-rich platelet-rich plasma injections do not up-modulate intra-articular pro-inflammatory cytokines in the osteoarthritic knee. PLoS ONE 2016, 11, e0156137. [CrossRef][PubMed] 16. Filardo, G.; Kon, E. PRP: Product rich in placebo? Knee Surg. Sports Traumatol. Arthrosc. 2014, 24, 3702–3703. [CrossRef][PubMed] 17. Campbell, K.A.; Saltzman, B.M.; Mascarenhas, R.; Khair, M.M.; Verma, N.N.; Bach, B.R., Jr.; Cole, B.J. Does intra-articular platelet-rich plasma injection provide clinically superior outcomes compared with other therapies in the treatment of knee osteoarthritis? A systematic review of overlapping meta-analyses. Arthroscopy 2015, 31, 2213–2221. [CrossRef] 18. Southworth, T.M.; Naveen, N.B.; Tauro, T.M.; Leong, N.; Cole, B.J. The use of platelet-rich plasma in symptomatic knee osteoarthritis. J. Knee Surg. 2018, 32, 37–45. [CrossRef] 19. Kardos, D.; Marschall, B.; Simon, M.; Hornyák, I.; Hinsenkamp, A.; Kuten, O.; Gyevnár, Z.; Erdélyi, G.; Bárdos, T.; Paukovits, T.M.; et al. Investigation on cytokine changes in osteoarthritic knee joint tissues in response to hyperacute serum treatment. Cells 2019, 8, 824. [CrossRef] 20. Otahal, A.; Kramer, K.; Kuten-Pella, O.; Weiss, R.; Stotter, C.; Lacza, Z.; Weber, V.; Nehrer, S.; De Luna, A. Characterization and chondroprotective effects of extracellular vesicles from plasma- and serum-based autologous blood-derived products for osteoarthritis therapy. Front. Bioeng. Biotechnol. 2020, 8, 584050. [CrossRef] 21. Andia, I.; Perez-Valle, A.; Del Amo, C.; Maffulli, N. Freeze-Drying of Platelet-Rich Plasma: The Quest for Standardization. Int. J. Mol. Sci. 2020, 21, 6904. [CrossRef] 22. Kuten, O.; Simon, M.; Hornyák, I.; De Luna-Preitschopf, A.; Nehrer, S.; Lacza, Z. The Effects of Hyperacute Serum on Adipogenesis and Cell Proliferation of Mesenchymal Stromal Cells. Tissue Eng. Part A 2018, 24, 1011–1021. [CrossRef] 23. Jeyakumar, V.; Niculescu-Morzsa, E.; Bauer, C.; Lacza, Z.; Nehrer, S. Platelet-Rich Plasma Supports Proliferation and Redifferenti- ation of Chondrocytes during In Vitro Expansion. Front. Bioeng. Biotechnol. 2017, 5, 75. [CrossRef] 24. Simon, M.; Major, B.; Vácz, G.; Kuten, O.; Hornyak, I.; Hinsenkamp, A.; Kardos, D.; Bagó, M.; Cseh, D.; Sarkozi, A.; et al. The Effects of Hyperacute Serum on the Elements of the Human Subchondral Bone Marrow Niche. Stem Cells Int. 2018, 2018, 1–12. [CrossRef][PubMed] 25. Kardos, D.; Simon, M.; Vácz, G.; Hinsenkamp, A.; Holczer, T.; Cseh, D.; Sárközi, A.; Szenthe, K.; Bánáti, F.; Szathmary, S.; et al. The Composition of Hyperacute Serum and Platelet-Rich Plasma Is Markedly Different despite the Similar Production Method. Int. J. Mol. Sci. 2019, 20, 721. [CrossRef][PubMed] 26. Vácz, G.; Major, B.; Gaál, D.; Petrik, L.; Horváthy, D.B.; Han, W.; Holczer, T.; Simon, M.; Muir, J.M.; Hornyák, I.; et al. Hyperacute serum has markedly better regenerative efficacy than platelet-rich plasma in a human bone oxygen–glucose deprivation model. Regen. Med. 2018, 13, 531–543. [CrossRef][PubMed] 27. Briggs, K.K.; Lysholm, J.; Tegner, Y.; Rodkey, W.G.; Kocher, M.S.; Steadman, J.R. The reliability, validity, and responsiveness of the lysholm score and tegner activity scale for anterior cruciate ligament injuries of the knee: 25 years later. Am. J. Sports Med. 2009, 37, 890–897. [CrossRef] 28. Collins, N.J.; Misra, D.; Tegner, Y.; Rodkey, W.G.; Kocher, M.S.; Steadman, J.R. Measures of knee function. Arthritis Care Res. 2011, 63, S208–S228. [CrossRef] 29. Aksekili, M.A.E.; Fidan, F.; Alkan, B.M.; Alemdar, A.; Aksekili, H.; Ardıço˘glu,Ö. Quality of Life in Knee Osteoarthritis; Correlation with Clinical Measures and the Knee Injury and Osteoarthritis Outcome Score. Acta Med. Anatolia 2016, 4, 1–7. [CrossRef] 30. Bekkers, J.E.J.; Windt, T.S.; Raijmakers, N.J.H.; Dhert, W.J.A.; Saris, D.B.F. Validation of the knee injury and osteoarthritis outcome score (KOOS) for the treatment of focal cartilage lesions. Osteoarthr. Cartil. 2009, 17, 1434–1439. [CrossRef] 31. Martini, L.I.; Via, A.G.; Fossati, C.; Randelli, F.; Randelli, P.; Cucchi, D. Single Platelet-Rich Plasma Injection for Early Stage of Osteoarthritis of the Knee. Joints 2017, 5, 002–006. [CrossRef] 32. Vangsness, C.T., Jr.; Burke, W.S.; Narvy, S.J.; Macphee, R.D.; Fedenko, A.N. Human knee synovial fluid cytokines correlated with grade of knee osteoarthritis—A pilot study. Bull. Hosp. J. Dis. 2011, 69, 122–127. 33. Mabey, T.; Honsawek, S.; Tanavalee, A.; Yuktanandana, P.; Wilairatana, V.; Poovorawan, Y. Plasma and synovial fluid inflammatory cytokine profiles in primary knee osteoarthritis. Biomarkers 2016, 21, 639–644. [CrossRef][PubMed] 34. Hsu, Y.-H.; Hsieh, M.-S.; Liang, Y.-C.; Li, C.-Y.; Sheu, M.-T.; Chou, D.-T.; Chen, T.-F.; Chen, C.-H. Production of the chemokine eotaxin-1 in osteoarthritis and its role in cartilage degradation. J. Cell. Biochem. 2004, 93, 929–939. [CrossRef][PubMed] 35. Monibi, F.; Roller, B.L.; Stoker, A.; Garner, B.; Bal, B.S.; Cook, J.L. Identification of Synovial Fluid Biomarkers for Knee Osteoarthritis and Correlation with Radiographic Assessment. J. Knee Surg. 2015, 29, 242–247. [CrossRef] Curr. Issues Mol. Biol. 2021, 43 647

36. Chen, J.J.; Huang, J.F.; Du, W.X.; Tong, P.J. Expression and significance of MMP3 in synovium of knee joint at different stage in osteoarthritis pa-tients. Asian Pac. J. Trop. Med. 2014, 7, 297–300. [CrossRef] 37. Scanzello, C.; Umoh, E.; Pessler, F.; Diaz-Torne, C.; Miles, T.; DiCarlo, E.; Potter, H.; Mandl, L.; Marx, R.; Rodeo, S.; et al. Local cytokine profiles in knee osteoarthritis: Elevated synovial fluid interleukin-15 differentiates early from end-stage disease. Osteoarthr. Cartil. 2009, 17, 1040–1048. [CrossRef] 38. Zeng, G.; Chen, A.; Li, W.; Song, J.; Gao, C. High MMP-1, MMP-2, and MMP-9 protein levels in osteoarthritis. Genet. Mol. Res. 2015, 14, 14811–14822. [CrossRef] 39. Blair-Levy, J.M.; Watts, C.E.; Fiorientino, N.M.; Dimitriadis, E.K.; Marini, J.C.; Lipsky, P.E.; Blair-Levy, J.M.; Watts, C.E.; Fiorientino, N.M.; Dimitriadis, E.K.; et al. A type I collagen defect leads to rapidly progressive osteoarthritis in a mouse model. Arthritis Rheum. 2008, 58, 1096–1106. [CrossRef][PubMed] 40. Struglics, A.; Larsson, S.; Pratta, M.A.; Kumar, S.; Lark, M.W.; Lohmander, L.S. Human osteoarthritis synovial fluid and joint cartilage contain both aggrecanase- and matrix metal-loproteinase-generated aggrecan fragments. Osteoarthr. Cartil. 2006, 14, 101–111. [CrossRef] 41. El-Arman, M.M.; El-Fayoumi, G.; El-Shal, E.; El-Boghdady, I.; El-Ghaweet, A. Aggrecan and Cartilage Oligomeric Matrix Protein in Serum and Synovial Fluid of Patients with Knee Osteoarthritis. HSS J. 2010, 6, 171–176. [CrossRef] 42. Nakamura, S.; Kamihagi, K.; Satakeda, H.; Katayama, M.; Pan, H.; Okamoto, H.; Noshiro, M.; Takahashi, K.; Yoshihara, Y.; Shimmei, M.; et al. Enhancement of sparc (osteonectin) synthesis in arthritic cartilage: Increased levels in synovial fluids from patients with and regulation by growth factors and cytokines in chondrocyte cultures. Arthritis Rheum. 1996, 39, 539–551. [CrossRef][PubMed] 43. Mabey, T.; Honsawek, S. Cytokines as biochemical markers for knee osteoarthritis. World J. Orthop. 2015, 6, 95–105. [CrossRef] [PubMed] 44. Scanzello, C.R.; Goldring, S.R. The role of in osteoarthritis pathogenesis. Bone 2012, 51, 249–257. [CrossRef] 45. Pierzchala, A.W.; Kusz, D.J.; Hajduk, G. CXCL8 and CCL5 expression in synovial fluid and blood serum in patients with osteoarthritis of the knee. Arch. Immunol. Ther. Exp. 2011, 59, 151–155. [CrossRef] 46. Vernal, R.; Velasquez, E.; Gamonal, J.; Garcia-Sanz, J.A.; Silva, A.; Sanz, M. Expression of proinflammatory cytokines in osteoarthritis of the temporomandibular joint. Arch. Oral. Biol. 2008, 53, 910–915. [CrossRef][PubMed] 47. Wojdasiewicz, P.; Poniatowski, L.A.; Szukiewicz, D. The role of inflammatory and anti-inflammatory cytokines in the pathogenesis of osteo-arthritis. Mediat. Inflamm. 2014, 2014, 561459. [CrossRef] 48. Hermanns, H.M. Oncostatin M and interleukin-31: Cytokines, receptors, signal transduction and physiology. Cytokine Growth Factor Rev. 2015, 26, 545–558. [CrossRef] 49. Zhang, Q.; Putheti, P.; Zhou, Q.; Liu, Q.; Gao, W. Structures and biological functions of IL-31 and IL-31 receptors. Cytokine Growth Factor Rev. 2008, 19, 347–356. [CrossRef] 50. Jacques, C.; Gosset, M.; Berenbaum, F.; Gabay, C. The Role of IL-1 and IL-1Ra in Joint Inflammation and Cartilage Degradation. Vitam. Horm. 2006, 74, 371–403. 51. Daghestani, H.N.; Pieper, C.F.; Kraus, V.B. Soluble macrophage biomarkers indicate inflammatory phenotypes in patients with knee os-teoarthritis. Arthr. Rheum. 2015, 67, 956–965. [CrossRef][PubMed] 52. Saetan, N.; Honsawek, S.; Tanavalee, A.; Tantavisut, S.; Yuktanandana, P.; Parkpian, V. Association of plasma and synovial fluid interferon-gamma inducible protein-10 with radiographic severity in knee osteoarthritis. Clin. Biochem. 2011, 44, 1218–1222. [CrossRef] 53. Ni, J.; Yuan, X.; Yao, Q.; Peng, L. OSM is overexpressed in knee osteoarthritis and Notch signaling is involved in the effects of OSM on MC3T3-E1 cell proliferation and differentiation. Int. J. Mol. Med. 2015, 35, 1755–1760. [CrossRef] 54. Huo, L.W.; Ye, Y.L. Fractalkine (CX3CL1): A biomarker reflecting symptomatic severity in patients with knee osteoarthritis. JIM 2015, 63, 626–631. [CrossRef] 55. Klosowska, K.; Volin, M.V.; Huynh, N.; Chong, K.K.; Halloran, M.M.; Woods, J.M. Fractalkine functions as a chemoattractant for os- teoarthritis synovial fibroblasts and stimulates phosphorylation of mitogen-activated protein kinases and Akt. Clin. Exp. Immunol. 2009, 156, 312–319. [CrossRef][PubMed] 56. Kokebie, R.; Aggarwal, R.; Lidder, S.; Hakimiyan, A.A.; Rueger, D.C.; Block, J.A.; Chubinskaya, S. The role of synovial fluid markers of catabolism and anabolism in osteoarthritis, rheumatoid arthritis and asymptomatic organ donors. Arthritis Res. 2011, 13, R50. [CrossRef][PubMed] 57. Song, Y.-Z.; Guan, J.; Wang, H.-J.; Ma, W.; Li, F.; Xu, F.; Ding, L.-B.; Xie, L.; Liu, B.; Liu, K.; et al. Possible Involvement of Serum and Synovial Fluid Resistin in Knee Osteoarthritis: Cartilage Damage, Clinical, and Radiological Links. J. Clin. Lab. Anal. 2015, 30, 437–443. [CrossRef] 58. Koskinen, A.; Vuolteenaho, K.; Moilanen, T.; Moilanen, E. Resistin as a factor in osteoarthritis: Synovial fluid resistin concen- trations correlate positively with interleukin 6 and matrix metalloproteinases MMP-1 and MMP-3. Scand. J. Rheumatol. 2013, 43, 249–253. [CrossRef] 59. Kahle, P.; Saal, J.G.; Schaudt, K.; Zacher, J.; Fritz, P.; Pawelec, G. Determination of cytokines in synovial fluids: Correlation with diagnosis and histomorphological charac-teristics of synovial tissue. Ann. Rheum. Dis. 1992, 51, 731–734. [CrossRef][PubMed] 60. Zhang, C.; Liao, Q.; Ming, J.-H.; Hu, G.-L.; Chen, Q.; Liu, S.-Q.; Li, Y.-M. The effects of chitosan oligosaccharides on OPG and RANKL expression in a rat osteoarthritis model. Acta Cir. Bras. 2017, 32, 418–428. [CrossRef][PubMed] Curr. Issues Mol. Biol. 2021, 43 648

61. Deligne, C.; Casulli, S.; Pigenet, A.; Bougault, C.; Campillo-Gimenez, L.; Nourissat, G.; Berenbaum, F.; Elbim, C.; Houard, X. Differential expression of interleukin-17 and interleukin-22 in inflamed and non-inflamed synovium from osteoarthritis patients. Osteoarthr. Cartil. 2015, 23, 1843–1852. [CrossRef] 62. Márton, K.; Tamás, S.B.; Orsolya, N.; Béla, C.; Ferenc, D.; Péter, N.; Csaba, D.-N.; Lajos, C.; Zsombor, L.; Eitan, M.; et al. Microarchitecture of the Augmented Bone Following Sinus Elevation with an Albumin Impregnated Demineralized Freeze-Dried Bone Allograft (BoneAlbumin) versus Anorganic Bovine Bone Mineral: A Randomized Prospective Clinical, Histomorphometric, and Micro-Computed Tomography Study. Materials 2018, 11, 202. 63. Li, C.; Chen, K.; Kang, H.; Yan, Y.; Liu, K.; Guo, C.; Qi, J.; Yang, K.; Wang, F.; Guo, L.; et al. Double-stranded RNA released from damaged articular chondrocytes promotes cartilage degeneration via Toll-like receptor 3-interleukin-33 pathway. Cell Death Dis. 2017, 8, e3165. [CrossRef][PubMed] 64. Hinsenkamp, A.; Kardos, D.; Lacza, Z.; Hornyák, I. A Practical Guide to Class IIa Medical Device Development. Appl. Sci. 2020, 10, 3638. [CrossRef] 65. Sánchez, M.; Fiz, N.; Azofra, J.; Usabiaga, J.; Recalde, E.A.; Gutierrez, A.G.; Albillos, J.; Gárate, R.; Aguirre, J.J.; Padilla, S.; et al. A Randomized Clinical Trial Evaluating Plasma Rich in Growth Factors (PRGF-Endoret) Versus Hyaluronic Acid in the Short-Term Treatment of Symptomatic Knee Osteoarthritis. Arthrosc. J. Arthrosc. Relat. Surg. 2012, 28, 1070–1078. [CrossRef][PubMed] 66. Gato-Calvo, L.; Magalhães, J.; Ruiz-Romero, C.; Blanco, F.J.; Burguera, E.F. Platelet-rich plasma in osteoarthritis treatment: Review of current evidence. Ther. Adv. Chronic Dis. 2019, 10, 2040622319825567. [CrossRef] 67. Tuakli-Wosornu, Y.A.; Terry, A.; Boachie-Adjei, K.; Harrison, J.R.; Gribbin, C.K.; LaSalle, E.E.; Nguyen, J.T.; Solomon, J.L.; Lutz, G.E. Lumbar Intradiskal Platelet-Rich Plasma (PRP) Injections: A Prospective, Double-Blind, Randomized Controlled Study. PM&R 2016, 8, 1–10. 68. Meheux, C.J.; McCulloch, P.C.; Lintner, D.M.; Varner, K.E.; Harris, J.D. Efficacy of intra-articular PRP-injections in knee osteoarthri- tis: A systemic review. Arthroscopy 2016, 32, 495–505. [CrossRef] 69. di Martino, A.; di Matteo, B.; Papio, T.; Tentoni, F.; Selleri, F.; Cenacchi, A.; Kon, E.; Filardo, G. Platelet-rich plasma versus hyaluronic acid injections for the treatment of knee osteoarthritis. Am. J. Sports Med. 2019, 47, 347–354. [CrossRef] 70. Gobezie, R.; Kho, A.; Krastins, B.; Sarracino, D.A.; Thornhill, T.S.; Chase, M.; Millett, P.J.; Lee, D.M. High abundance synovial fluid proteome: Distinct profiles in health and osteoarthritis. Arthritis Res. Ther. 2007, 9, R36. [CrossRef] 71. Westacott, C.I.; Whicher, J.T.; Barnes, I.C.; Thompson, D.; Swan, A.J.; Dieppe, P.A. Synovial fluid concentration of five different cytokines in rheumatic diseases. Ann. Rheum. Dis. 1990, 49, 676–681. [CrossRef] 72. Scanzello, C.R. Chemokines and inflammation in osteoarthritis: Insights from patients and animal models. J. Orthop Res. 2017, 35, 735–739. [CrossRef] 73. Jacquemier, J.; Ginestier, C.; Rougemont, J.; Bardou, V.-J.; Charafe-Jauffret, E.; Geneix, J.; Adélaïde, J.; Koki, A.; Houvenaeghel, G.; Hassoun, J.; et al. Protein expression profiling identifies subclasses of breast cancer and predicts prognosis. Cancer Res. 2005, 65, 767–779. 74. Zhang, B.; Verberkmoes, N.C.; Langston, M.A.; Uberbacher, E.; Hettich, R.L.; Samatova, N.F. Detecting Differential and Correlated Protein Expression in Label-Free Shotgun Proteomics. J. Proteome Res. 2006, 5, 2909–2918. [CrossRef][PubMed] 75. Medina, T.S.; Costa, S.P.T.; Oliveira, M.D.; Ventura, A.M.; Souza, J.M.; Gomes, T.F.; Vallinoto, A.C.R.; Póvoa, M.M.; Silva, J.S.; Cunha, M.G. Increased interleukin-10 and interferon-gamma levels in Plasmodium vivax malaria suggest a re-ciprocal regulation which is not altered by IL-10 gene promoter polymorphism. Malar. J. 2011, 10, 264. [CrossRef][PubMed] 76. Kopach, P.; Lockatell, V.; Pickering, E.M.; Haskell, R.E.; Anderson, R.D.; Hasday, J.D.; Todd, N.W.; Luzina, I.G.; Atamas, S.P. IFN-gamma directly controls IL-33 protein level through a STAT1- and LMP2- dependent mechanism. J. Biol. Chem. 2014, 289, 11829–11843. [CrossRef][PubMed] 77. Lettner, T.; Lang, R.; Klausegger, A.; Hainzl, S.; Bauer, J.W.; Wally, V. MMP-9 and CXCL8/IL-8 Are Potential Therapeutic Targets in Epidermolysis Bullosa Simplex. PLoS ONE 2013, 8, e70123. [CrossRef] 78. Daheshia, M.; Yao, J.Q. The Interleukin 1β Pathway in the Pathogenesis of Osteoarthritis. J. Rheumatol. 2008, 35, 2306–2312. [CrossRef] 79. Vincent, T.L. IL-1 in osteoarthritis: Time for a critical review of the literature. F1000Research 2019, 8, 934. [CrossRef] 80. Kloppenburg, M.; Peterfy, C.; Haugen, I.K.; Kroon, F.; Chen, S.; Wang, L.; Liu, W.; Levy, G.; Fleischmann, R.M.; Berenbaum, F.; et al. Phase IIa, placebo-controlled, randomised study of lutikizumab, an anti-interleukin-1α and an-ti-interleukin-1β dual variable domain immunoglobulin, in patients with erosive hand osteoarthritis. Ann. Rheum. Dis. 2019, 78, 413–420. [CrossRef] 81. Fleischmann, R.M.; Bliddal, H.; Blanco, F.J.; Schnitzer, T.J.; Peterfy, C.; Wang, S.C.L.; Feng, S.; Conaghan, P.G.; Berenbaum, F.; Pelletier, J.-P.; et al. A phase II trial of lutikizumab, an anti-interleukin 1α/β dual variable domain immunoglobulin, in knee osteoarthritis patients with synovitis. Arthritis Rheum. 2019, 71, 1056–1069. [CrossRef][PubMed] 82. Zupan, J.; Vrtaˇcnik,P.; Cör, A.; Haring, G.; Weryha, G.; Visvikis-Siest, S.; Marc, J. VEGF-A is associated with early degenerative changes in cartilage and subchondral bone. Growth Factors 2018, 36, 263–273. [CrossRef][PubMed] 83. Chen, X.Y.; Hao, Y.R.; Wang, Z.; Zhou, J.L.; Jia, Q.X.; Qiu, B. The effect of vascular endothelial growth factor on aggrecan and type II collagen expression in rat ar-ticular chondrocytes. Rheumatol. Int. 2012, 32, 3359–3364. [CrossRef][PubMed] 84. Von Delwig, A.; Locke, J.; Robinson, J.H.; Ng, W.-F. Response of Th17 cells to a citrullinated arthritogenic aggrecan peptide in patients with rheumatoid arthritis. Arthritis Rheum. 2010, 62, 143–149. [CrossRef][PubMed] Curr. Issues Mol. Biol. 2021, 43 649

85. Botta, C.; di Martino, M.T.; Ciliberto, D.; Cucè, M.; Correale, P.; Rossi, M.; Tagliaferri, P.; Tassone, P. A gene expression inflammatory signature specifically predicts multiple myeloma evolution and patients survival. Blood Cancer J. 2016, 6, e511. [CrossRef][PubMed] 86. Beekhuizen, M.; Van Osch, G.; Bot, A.; Hoekstra, M.; Saris, D.; Dhert, W.; Creemers, L. Inhibition of oncostatin M in osteoarthritic synovial fluid enhances GAG production in osteoarthritic cartilage repair. Eur. Cells Mater. 2013, 26, 80–90. [CrossRef][PubMed] 87. Lee, K.M.-C.; Zhang, Z.; Achuthan, A.; Fleetwood, A.J.; Smith, J.E.; Hamilton, J.A.; Cook, A.D. IL-23 in arthritic and inflammatory pain development in mice. Arthritis Res. 2020, 22, 1–13. [CrossRef] 88. Maricar, N.; Callaghan, M.; Parkes, M.J.; Felson, D.; O’Neill, T. Clinical assessment of effusion in knee osteoarthritis—A systematic review. Semin. Arthritis Rheum. 2016, 45, 556–563. [CrossRef] 89. Berthelot, J.M. Placebo effect in osteoarthritis. World J. Orthop. 2015, 6, 416–420. 90. Zhang, W.; Robertson, J.; Jones, A.C.; Dieppe, P.A.; Doherty, M. The placebo effect and its determinants in osteoarthritis: Meta-analysis of randomised controlled trials. Ann. Rheum. Dis. 2008, 67, 1716–1723. [CrossRef] 91. Bannuru, R.; Schmid, C.; Sullivan, M.; Kent, D.; Wong, J.; McAlindon, T. Differential response of placebo treatments in osteoarthritis trials: A systematic review and network meta-analysis. Osteoarthr. Cartil. 2014, 22, S24–S25. [CrossRef] 92. Previtali, D.; Merli, G. The long-lasting effects of “placebo injections” in knee osteoarthritis: A meta-analysis. Cartilage 2020, 1947603520906597. [CrossRef][PubMed]