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Bjerre-Bastos JJ, Sejersen C, Nielsen HB, Boesen M, Secher NH, Distajo G, Flood V, Henrotin Y, Uebelhoer M, Krustrup P, Kitchen CC, Thudium CS, Andersen JR, Bihlet AR. The Impact of Weight-bearing Exercise, Non-Weight-bearing Exercise, and Cardiovascular Stress on Biochemical Markers of Cartilage Turnover in Patients With Mild to Moderate Knee Osteoarthritis: A Sequential, Cross-Over, Clinical Study. Cartilage 2024:19476035241258170. [PMID: 38853398 DOI: 10.1177/19476035241258170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/11/2024] Open
Abstract
OBJECTIVE To investigate how running, cycling, and sedentary cardiovascular stress impact biomarkers of cartilage turnover acutely in subjects with knee osteoarthritis (OA). DESIGN This was a sequential, cross-over, clinical study. Forty subjects with primary knee OA underwent moderate-to-high-intensity cycling, running, and adrenaline infusion on separate days. Blood was sampled before, during, and at 6-time points after intervention. On a control day, similar samples were taken. Biomarkers of type II collagen degradation (C2M, T2CM, Coll2-1, Coll2-1NO2), formation (PRO-C2), and aggrecan degradation (ARGS) were measured. RESULTS Mean age was 60.4 years, 40% were male, 45% had cumulated Kellgren-Lawrence (KL)-grade (Right + Left knee) of 2 to 3 and 55% had 4 to 6. Analyzing overall changes, area under the curve was significantly lower compared with resting values for ARGS and C2M after cycling and for ARGS after running. Considering individual time points, peak changes in biomarker levels showed reduction in C2M shortly following cycling (T20min = -12.3%, 95% confidence interval [CI]: -19.3% to -5.2%). PRO-C2 increased during cycling (T10min = 14.0%, 95% CI = 4.1% to 23.8%) and running (T20min = 16.5%, 95% CI = 4.3% to 28.6%). T2CM decreased after cycling (T50min = -19.9%, 95% CI = -29.2% to -10.6%), running (T50min = -22.8%, 95% CI = -32.1% to -13.5%), and infusion of adrenaline (peak, T50min = -9.8%, 95% CI = -20.0% to 0.4%). A latent increase was seen in Coll2-1 240 minutes after running (T260min = 21.7%, 95% CI = -1.6% to 45.1%). CONCLUSION Exercise had an impact on cartilage markers, but it did not suggest any detrimental effect on cartilage. Changes following adrenaline infusion suggest a sympathomimetic influence on the serological composition of biomarkers.
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Affiliation(s)
- Jonathan J Bjerre-Bastos
- Xlab, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
- NBCD A/S, Herlev, Denmark
| | - Casper Sejersen
- Department of Anaesthesiology, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Henning Bay Nielsen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Anaesthesia and Intensive Care Medicine, Zealand University Hospital, Roskilde, Denmark
- Department of Nutrition, Exercise and Sport, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Mikael Boesen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Radiology, Bispebjerg and Frederiksberg Hospitals, Copenhagen, Denmark
| | - Niels H Secher
- Department of Anaesthesiology, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | | | | | - Yves Henrotin
- Department of Physical and Rehabilitation, VIVALIA, Marche-en-Famenne, Belgium
- Musculoskeletal Innovative Research Lab (mSKIL), University of Liège, Liège, Belgium
| | | | - Peter Krustrup
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Carl-Christian Kitchen
- Department of Anaesthesiology, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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2
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Fischer AG, Titchenal MR, Migliore E, Asay JL, Erhart-Hledik JC, Andriacchi TP. Elevated proinflammatory cytokines in response to mechanical stimulus are associated with reduced knee loading 2 years after anterior cruciate ligament reconstruction. Clin Biomech (Bristol, Avon) 2024; 116:106286. [PMID: 38850881 DOI: 10.1016/j.clinbiomech.2024.106286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 04/25/2024] [Accepted: 06/03/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND The aim of this study was to test the hypothesis that proinflammatory cytokines correlate with knee loading mechanics during gait following a mechanical walking stimulus in subjects 2 years after anterior cruciate ligament reconstruction. Elevated systemic levels of proinflammatory cytokines can be sustained for years after injury. Considering roughly 50% of these patients progress to Osteoarthritis 10-15 years after injury, a better understanding of the role of proinflammatory cytokines such as tumor necrosis factor-α and Interleukin-1β on Osteoarthritis risk is needed. METHODS Serum proinflammatory cytokines concentrations were measured in 21 subjects 2 years after unilateral ACLR from blood drawn at rest and 3.5 h after 30 min of walking. An optoelectronic system and a force plate measured subjects' knee kinetics. Correlations were tested between inflammatory marker response and knee extension and knee adduction moments. FINDINGS Changes in proinflammatory cytokines due to mechanical stimulus were correlated (R = 0.86) and showed substantial variation between subjects in both cytokines at 3.5 h post-walk. Knee loading correlated with 3.5-h changes in tumor necrosis factor-α concentration (Knee extension moment: R = -0.5, Knee adduction moment: R = -0.5) and Interleukin-1β concentration (Knee extension moment: R = -0.44). However, no significant changes in concentrations were observed in tumor necrosis factor-α and Interleukin-1β when comparing baseline and post walking stimulus conditions. INTERPRETATION The significant associations between changes in serum proinflammatory markers following a mechanical stimulus and gait metrics in subjects at risk for developing Osteoarthritis underscore the importance of investigating the interaction between biomarkers and biomechanical factors in Osteoarthritis development.
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Affiliation(s)
- Arielle G Fischer
- Department of Biomedical Engineering, Technion- Israel Institute of Technology, Haifa, Israel; Department of Mechanical Engineering, Stanford University, Stanford, CA, USA.
| | - Matthew R Titchenal
- Department of Mechanical Engineering, Stanford University, Stanford, CA, USA; Palo Alto Veterans Hospital, Palo Alto, CA, USA
| | | | - Jessica L Asay
- Department of Mechanical Engineering, Stanford University, Stanford, CA, USA; Palo Alto Veterans Hospital, Palo Alto, CA, USA; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jennifer C Erhart-Hledik
- Palo Alto Veterans Hospital, Palo Alto, CA, USA; Palo Alto Veterans Institute for Research, Palo Alto, CA, USA
| | - Thomas P Andriacchi
- Department of Mechanical Engineering, Stanford University, Stanford, CA, USA
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3
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Liphardt AM, Godonou ET, Dreiner M, Mündermann A, Tascilar K, Djalal N, Heer M, Schett G, Zaucke F, Niehoff A. Immobilization by 21 days of bed rest results in type II collagen degradation in healthy individuals. Osteoarthritis Cartilage 2024; 32:177-186. [PMID: 37989468 DOI: 10.1016/j.joca.2023.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 11/02/2023] [Accepted: 11/15/2023] [Indexed: 11/23/2023]
Abstract
OBJECTIVE To investigate the effects of 21 days of bed rest immobilization (with and without exercise and nutrition interventions) on type II collagen biomarker concentrations in healthy individuals. DESIGN Twelve healthy male participants (age 34.2 ± 8.3 years; body mass index 22.4 ± 1.7 kg/m²) were exposed to 6 days ambulatory baseline data collection (BDC), 21 days head-down-tilt bed rest (HDT, CON) + interventions (HDT + resistive vibration exercise (2 times/week, 25 minutes): RVE; HDT + RVE + whey protein (0.6 g/kg body weight/day) and bicarbonate supplementation (90 mmol KHCO3/day: NeX), and 6 days of re-ambulation (R) in a cross-over designed study. The starting HDT condition was randomized (CON-RVE-NEX, RVE-NEX-CON, NEX-CON-RVE). Blood and urine samples were collected before, during, and after HDT. Serum concentrations (s) of CPII, C2C, C1,2C, and urinary concentrations (u) of CTX-II and Coll2-1NO2 were measured. RESULTS Twenty-one days of HDT resulted in increased sCPII (p < 0.001), sC2C (p < 0.001), and sC1,2C (p = 0.001) (highest increases: sCPII (+24.2% - HDT5), sC2C (+24.4% - HDT7), sC1,2C (+13.5% - HDT2). sC2C remained elevated at R+1 (p = 0.002) and R+6 (p < 0.001) compared to baseline. NeX led to lower sCPII (p < 0.001) and sC1,2C (p = 0.003) compared to CON. uCTX-II (second void and 24-hour urine) increased during HDT (p < 0.001, highest increase on HDT21: second void +82.8% (p < 0.001); 24-hour urine + 77.8% (p < 0.001). NeX resulted in lower uCTX-II concentrations in 24-hour urine (p = 0.012) compared to CON. CONCLUSIONS Twenty-one days of bed rest immobilization results in type II collagen degradation that does not recover within 6 days of resuming ambulation. The combination of resistive vibration exercise and protein/bicarbonate supplementation minimally counteracted this effect.
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Affiliation(s)
- Anna-Maria Liphardt
- Department of Internal Medicine 3 - Rheumatology & Immunology, Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany; Deutsches Zentrum Immuntherapie (DZI), Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
| | - Elie-Tino Godonou
- Department of Internal Medicine 3 - Rheumatology & Immunology, Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany; Deutsches Zentrum Immuntherapie (DZI), Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
| | - Maren Dreiner
- Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Köln, Germany.
| | - Annegret Mündermann
- Department of Orthopaedics and Traumatology, University Hospital Basel, Basel Switzerland; Department of Spine Surgery, University Hospital Basel, Basel, Switzerland; Department of Biomedical Engineering, University of Basel, Basel, Switzerland; Department of Clinical Research, University of Basel, Basel, Switzerland.
| | - Koray Tascilar
- Department of Internal Medicine 3 - Rheumatology & Immunology, Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany; Deutsches Zentrum Immuntherapie (DZI), Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
| | - Nadja Djalal
- Department of Internal Medicine 3 - Rheumatology & Immunology, Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany; Deutsches Zentrum Immuntherapie (DZI), Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
| | - Martina Heer
- IU International University of Applied Sciences, Health Sciences, Erfurt, Germany; Department of Nutrition and Food Science, Nutritional Physiology, University of Bonn, Bonn, Germany.
| | - Georg Schett
- Department of Internal Medicine 3 - Rheumatology & Immunology, Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany; Deutsches Zentrum Immuntherapie (DZI), Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
| | - Frank Zaucke
- Dr. Rolf M. Schwiete Research Unit for Osteoarthritis, Department of Orthopaedics (Friedrichsheim), University Hospital Frankfurt, Goethe University, Frankfurt, Germany.
| | - Anja Niehoff
- Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Köln, Germany; Cologne Center for Musculoskeletal Biomechanics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln, Germany.
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4
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Mündermann A, Nüesch C, Herger S, Liphardt AM, Chammartin F, De Pieri E, Egloff C. Load-induced blood marker kinetics in patients with medial knee compartment osteoarthritis are associated with accumulated load and patient reported outcome measures. F1000Res 2024; 12:299. [PMID: 38882712 PMCID: PMC11179051 DOI: 10.12688/f1000research.131702.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/15/2024] [Indexed: 06/18/2024] Open
Abstract
Background This study aimed to quantify the mechanoresponse of 10 blood marker candidates for joint metabolism to a walking stress test in patients with knee osteoarthritis and to determine the association among marker kinetics and with accumulated load and patient reported outcomes. Methods 24 patients with knee osteoarthritis completed questionnaires, and a 30-minute walking stress test with six blood serum samples and gait analysis. Concentrations of cartilage oligomeric matrix protein (COMP), matrix metalloproteinases (MMP)-1, -3, and -9, epitope resulting from cleavage of type II collagen by collagenases (C2C), type II procollagen (CPII), interleukin (IL)-6, proteoglycan (PRG)-4, A disintegrin and metalloproteinase with thrombospondin motifs (ADAMTS)-4, and resistin were determined by enzyme-linked immunosorbent assays, Joint load (moments and compartmental forces) was estimated using musculoskeletal modeling using gait analysis data. Results COMP and MMP-3 showed an immediate increase after the walking stress followed by a decrease. MMP-9 and resistin showed a delayed decrease below pre-stress levels. ∆COMP correlated with ∆MMP-3 for most time points. ∆MMP-9 correlated with ∆resistin for most time points. The load-induced increase in blood marker levels correlated among blood markers and time points. C2C and resistin correlated positively and C2C/CPII and MMP2 correlated negatively with load during gait. Immediate relative ∆CPII and ∆MMP1 and delayed relative ∆COMP, ∆IL6, ∆C2C, ∆CPII, ∆MMP1 and ∆MMP3 correlated with the load accumulated during the walking stress. Baseline C2C levels correlated with Knee Osteoarthritis Outcome Score (KOOS) subscales and load-induced changes in MMP-3 with KOOS and Short Form 36 quality of life subscores (P<0.05). Conclusions The distinct and differentiated physiological response to the walking stress depends on accumulated load and appears relevant for patient reported osteoarthritis outcome and quality of life and warrants further investigation in the context of disease progression.ClinicalTrials.gov registration: NCT02622204.
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Affiliation(s)
- Annegret Mündermann
- Department of Clinical Research, University of Basel, Basel, 4031, Switzerland
- Department of Biomedical Engineering, University of Basel, Allschwil, 4123, Switzerland
- Department of Orthopaedics and Trauamtology, University Hospital Basel, Basel, 4031, Switzerland
| | - Corina Nüesch
- Department of Clinical Research, University of Basel, Basel, 4031, Switzerland
- Department of Biomedical Engineering, University of Basel, Allschwil, 4123, Switzerland
- Department of Orthopaedics and Trauamtology, University Hospital Basel, Basel, 4031, Switzerland
- Department of Spine Surgery, University Hospital Basel, Basel, 4031, Switzerland
| | - Simon Herger
- Department of Biomedical Engineering, University of Basel, Allschwil, 4123, Switzerland
- Department of Orthopaedics and Trauamtology, University Hospital Basel, Basel, 4031, Switzerland
| | - Anna-Maria Liphardt
- Department of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen, 91054, Germany
- Department of Internal Medicine 3 - Rheumatology and Immunology, Universitätsklinikum Erlangen & Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, 91054, Germany
| | - Frédérique Chammartin
- Deutsches Zentrum Immuntherapie, Universitätsklinikum Erlangen & FAU Erlangen-Nürnberg, Erlangen, 91054, Germany
| | - Enrico De Pieri
- Department of Biomedical Engineering, University of Basel, Allschwil, 4123, Switzerland
| | - Christian Egloff
- Department of Orthopaedics and Trauamtology, University Hospital Basel, Basel, 4031, Switzerland
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5
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Bjerre-Bastos JJ, Hamrouni N, Henrotin Y, Thudium CS, Bihlet AR. Joint biomarker response to mechanical stimuli in osteoarthritis - A scoping review. OSTEOARTHRITIS AND CARTILAGE OPEN 2023; 5:100390. [PMID: 37885822 PMCID: PMC10598037 DOI: 10.1016/j.ocarto.2023.100390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 08/04/2023] [Indexed: 10/28/2023] Open
Abstract
Objective Arthritic cartilage is primed for mechanical damage. Joint biochemical markers (JBM) could provide insight into the impact of mechanical stimulation on joint tissue turnover in osteoarthritis (OA) of potential use in clinical OA research and practice. However, existing studies of the acute impact of physical activities (PA) on JBM often contain risks of substantial bias. The purpose of this scoping review was to critically review and discuss existing reports of acute joint tissue turnover as reflected in JBM in relation to PA in OA and propose considerations for future research. Design We searched PubMed, Embase, and Scopus and reference lists for original reports on the acute impact of PA on JBM in human OA. Identified studies were reviewed by two reviewers forming the basis for the discussion of methodology. Results Search in databases resulted in nine eligible papers after full-text evaluation. Two additional papers were identified through reference lists, resulting in 11 papers included in this review. Ten investigated knee OA and one investigated hand OA. Biomarkers described were related to turnover of type II collagen, aggrecan, and cartilage oligomeric matrix protein. Conclusions The literature is dominated by small, simplistic studies, but suggests that mechanical stimulation can induce acute changes in joint biomarkers. In order to diminish the existing bias in future studies, it is important to recognize methodological considerations e.g. patient and biomarker selection as well as peri-interventional control. Common potential sources of bias include the acute shift in plasma volume due to cardiovascular stress and postural changes.
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Affiliation(s)
- Jonathan J. Bjerre-Bastos
- Xlab, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- NBCD A/S, Herlev, Denmark
- Department of Orthopedic Surgery, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Nizar Hamrouni
- Department of Orthopedic Surgery, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Yves Henrotin
- Musculoskeletal Innovative Research Lab (mSKIL), Arthropôle Liège, Center for Interdisciplinary Research on Medicines (CIRM), University of Liège, CHU Sart-Tilman, 4000 Liège, Belgium
- Physical Therapy and Rehabilitation Department, Princess Paola Hospital, Vivalia, Rue du Vivier, 6900 Marche-en-Famenne, Belgium
- Artialis SA, CHU Sart-Tilman, GIGA Tower, level 3, 4000 Liège, Belgium
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6
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Chu CR. Can we afford to ignore the biology of joint healing and graft incorporation after ACL reconstruction? J Orthop Res 2022; 40:55-64. [PMID: 34314066 DOI: 10.1002/jor.25145] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 06/23/2021] [Accepted: 07/01/2021] [Indexed: 02/04/2023]
Abstract
Anterior cruciate ligament (ACL) reconstruction is successful at restoring stability to return ACL injured patients to high-demand work, sports, and recreational activities. The development of posttraumatic osteoarthritis (OA) in roughly half of patients just 10-15 years after ACLR highlight the need to improve clinical care pathways. Graft failure and reinjury rates, which further increase OA risk, also remain high for younger and more active patients. The biological components of joint recovery and graft incorporation, therefore, impact short- and long-term clinical outcomes. Biochemical and magnetic resonance imaging (MRI) data show substantial compromise of articular cartilage metabolism and matrix composition after ACL injury and reconstructive surgery suggesting a potential need for activity modulation in early recovery. Furthermore, joint recovery is variable with compositional MRI studies showing progressive cartilage degeneration 1 and 2 years after ACLR. Biopsy and MRI studies also show high variability in ACL graft characteristics within the 1st year after ACLR followed by continued graft maturation into the 2nd year and beyond. To improve the care of ACL injured patients, there is a critical need for clinical attention and scientific inquiry into timing the reintroduction of higher load activities in relationship to neuromuscular recovery, joint biology, and graft maturation. In addition to symptomatic and mechanical recovery, development and validation of biological markers for joint and cartilage homeostasis as well as ACL graft healing are needed for personalized decision making on rehabilitation needs, reduction of OA risk, and resumption of athletic, recreational, and vocational activities.
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Affiliation(s)
- Constance R Chu
- Department Orthopaedic Surgery, Stanford University, Stanford, California, USA.,Veterans Affairs Palo Alto Healthcare System, Livermore, California, USA
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7
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Liang D, Onodera T, Hamasaki M, Hishimura R, Homan K, Xu L, Tian Y, Kanai S, Iwasaki N. Quantification of Cartilage Surface Degeneration by Curvature Analysis Using 3D Scanning in a Rabbit Model. Cartilage 2021; 13:1734S-1741S. [PMID: 34802259 PMCID: PMC8804731 DOI: 10.1177/19476035211059597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Accurate analysis to quantify cartilage morphology is critical for evaluating degenerative conditions in osteoarthritis (OA). Three-dimensional (3D) optical scanning provides 3D data for the entire cartilage surface; however, there is no consensus on how to quantify it. Our purpose was to validate a 3D method for evaluating spatiotemporal alterations in degenerative cartilages in a rabbit OA model by analyzing their curvatures at various stages of progression. DESIGN Twelve rabbits underwent anterior cruciate ligament transection (ACLT) unilaterally and were divided into 4 groups: 4 weeks control, 4 weeks OA, 8 weeks control, and 8 weeks OA. 3D scanning, India ink staining, and histological assessments were performed in all groups. In 3D curvature visualization, the surfaces of the condyles were divided into 8 areas. The standard deviations (SD) of mean curvatures from all vertices of condylar surfaces and subareas were calculated. RESULTS Regarding the site of OA change, curvature analysis was consistent with India ink scoring. The SD of mean curvature correlated strongly with the India ink Osteoarthritis Research Society International (OARSI) score. In curvature histograms, the curvature distribution in OA was more scattered than in control. Of the 8 areas, significant OA progression in the posterolateral part of the lateral condyle (L-PL) was observed at 4 weeks. The histology result was consistent with the 3D evaluation in terms of representative section. CONCLUSIONS This study demonstrated that 3D scanning with curvature analysis can quantify the severity of cartilage degeneration objectively. Furthermore, the L-PL was found to be the initial area where OA degeneration occurred in the rabbit ACLT model.
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Affiliation(s)
- Dawei Liang
- Department of Orthopedic Surgery,
Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo,
Japan
| | - Tomohiro Onodera
- Department of Orthopedic Surgery,
Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo,
Japan,Tomohiro Onodera, Department of Orthopaedic
Surgery, Faculty of Medicine, Graduate School of Medicine, Hokkaido University,
Sapporo 060-8648, Japan.
| | - Masanari Hamasaki
- Department of Orthopedic Surgery,
Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo,
Japan
| | - Ryosuke Hishimura
- Department of Orthopedic Surgery,
Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo,
Japan
| | - Kentaro Homan
- Department of Orthopedic Surgery,
Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo,
Japan
| | - Liang Xu
- Department of Orthopedic Surgery,
Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo,
Japan
| | - Yuan Tian
- Department of Orthopedic Surgery,
Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo,
Japan
| | - Satoshi Kanai
- Division of Systems Science and
Informatics, Graduate School of Information Science and Technology, Hokkaido
University, Sapporo, Japan
| | - Norimasa Iwasaki
- Department of Orthopedic Surgery,
Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo,
Japan
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8
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Mace RA, Greenberg J, Lemaster N, Duarte B, Penn T, Kanaya M, Doorley JD, Burris JL, Jacobs CA, Vranceanu AM. Virtual Mind-Body Program for Obese Knee Osteoarthritis Patients with Comorbid Depression: Development and Feasibility Pilot (Preprint). JMIR Form Res 2021; 6:e34654. [PMID: 35475787 PMCID: PMC9096632 DOI: 10.2196/34654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 03/17/2022] [Accepted: 03/18/2022] [Indexed: 11/23/2022] Open
Abstract
Background Knee osteoarthritis (KOA) is the most common joint disorder in the United States and a leading cause of disability. Depression and obesity are highly comorbid with KOA and accelerate knee degeneration and disability through biopsychosocial mechanisms. Mind-body physical activity programs can engage biological, mechanical, and psychological mechanisms to improve outcomes in KOA, but such programs are not currently available. Objective This mixed methods study aims to adapt a mind-body activity program for the unique needs of patients with KOA, depression, and obesity (GetActive-OA) delivered via live video. Methods Participants were adults (aged ≥45 years) from rural Kentucky with obesity (BMI≥30 kg/m2), idiopathic KOA with mild to moderate radiographic changes, and elevated depressive symptoms (9-item Patient Health Questionnaire ≥10) recruited from 2 orthopedic centers. In phase 1, we developed GetActive-OA and the study protocol using qualitative focus group feedback from the study population (N=9; 2 focus groups, 90 minutes) and multidisciplinary expertise from clinical psychologists and orthopedic researchers. In phase 2, we explored the initial feasibility, credibility, and acceptability of GetActive-OA, live video delivery, and study procedures via an open pilot with exit interviews (N=5; 1 group). This research was guided by National Institutes of Health (NIH) model stage IA. Results Phase 1 qualitative analyses revealed nuanced information about challenges with coping and increasing activity, high interest in a mind-body activity program, program participation facilitators (flexibility with technology) and barriers (amotivation and forgetfulness), and perceived challenges with data collection procedures (blood and urine samples and homework). Phase 2 quantitative analyses showed that GetActive-OA met most a priori feasibility markers: acceptability (80%), expectancy (100%), credibility (100%), clinician adherence (90%), homework adherence (80%), questionnaire data collection (100%), program satisfaction (100%), and safety (100%). Adherence to ActiGraph wear (80% baseline, 20% posttest) and collection of blood samples (60%) were low. Participation in GetActive-OA was associated with signals of improvements in general coping (Cohen d=2.41), pain catastrophizing (Cohen d=1.24), depression (Cohen d=0.88), anxiety (Cohen d=0.78), self-efficacy (Cohen d=0.73), pain (Cohen d=0.39), and KOA symptoms (Cohen d=0.36). Qualitative exit interviews confirmed quantitative findings and provided valuable information to optimize the program and protocol. Conclusions Patients with KOA, depression, and obesity from rural Kentucky were interested in a live video mind-body activity program. GetActive-OA shows promise; however, the program and protocol require further NIH stage I refinement before formal efficacy testing (NIH model stage II). International Registered Report Identifier (IRRID) RR2-10.1016/j.conctc.2021.100720
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Affiliation(s)
- Ryan A Mace
- Integrated Brain Health Clinical and Research Program, Center for Health Outcomes and Interdisciplinary Research, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Jonathan Greenberg
- Integrated Brain Health Clinical and Research Program, Center for Health Outcomes and Interdisciplinary Research, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Nicole Lemaster
- Department of Orthopaedic Surgery & Sports Medicine, University of Kentucky, Lexington, KY, United States
| | - Brooke Duarte
- Integrated Brain Health Clinical and Research Program, Center for Health Outcomes and Interdisciplinary Research, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Terence Penn
- Integrated Brain Health Clinical and Research Program, Center for Health Outcomes and Interdisciplinary Research, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Millan Kanaya
- Integrated Brain Health Clinical and Research Program, Center for Health Outcomes and Interdisciplinary Research, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - James D Doorley
- Integrated Brain Health Clinical and Research Program, Center for Health Outcomes and Interdisciplinary Research, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Jessica L Burris
- Department of Psychology, University of Kentucky, Lexington, KY, United States
| | - Cale A Jacobs
- Department of Orthopaedic Surgery & Sports Medicine, University of Kentucky, Lexington, KY, United States
| | - Ana-Maria Vranceanu
- Integrated Brain Health Clinical and Research Program, Center for Health Outcomes and Interdisciplinary Research, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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9
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Hernández-Hermoso JA, Nescolarde L, Roca E, Revuelta-López E, Ara J, Bayes-Genis A. Marathon Running Increases Synthesis and Decreases Catabolism of Joint Cartilage Type II Collagen Accompanied by High-Energy Demands and an Inflamatory Reaction. Front Physiol 2021; 12:722718. [PMID: 34707508 PMCID: PMC8542987 DOI: 10.3389/fphys.2021.722718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 09/06/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: To determine the effect of marathon running on serum levels of inflammatory, high energy, and cartilage matrix biomarkers and to ascertain whether these biomarkers levels correlate. Design: Blood samples from 17 Caucasian male recreational athletes at the Barcelona Marathon 2017 were collected at the baseline, immediately and 48 h post-race. Serum C reactive protein (CRP), creatin kinase (CK), and lactate dehydrogenase (LDH) were determined using an AU-5800 chemistry analyser. Serum levels of hyaluronan (HA), cartilage oligomeric matrix protein (COMP), aggrecan chondroitin sulphate 846 (CS846), glycoprotein YKL-40, human procollagen II N-terminal propeptide (PIINP), human type IIA collagen N-propeptide (PIIANP), and collagen type II cleavage (C2C) were measured by sandwich enzyme-linked immune-sorbent assay (ELISA). Results: Medians CK and sLDH levels increased (three-fold, two-fold) post-race [429 (332) U/L, 323 (69) U/L] (p < 0.0001; p < 0.0001) and (six-fold, 1.2-fold) 48 h post-race [658 (1,073) U/L, 218 (45) U/L] (p < 0.0001; p < 0.0001). Medians CRP increased (ten-fold) after 48 h post-race [6.8 (4.1) mg/L] (p < 0.0001). Mean sHA levels increased (four-fold) post-race (89.54 ± 53.14 ng/ml) (p < 0.0001). Means PIINP (9.05 ± 2.15 ng/ml) levels increased post-race (10.82 ± 3.44 ng/ml) (p = 0.053) and 48 h post-race (11.00 ± 2.96 ng/ml) (p = 0.001). Mean sC2C levels (220.83 ± 39.50 ng/ml) decreased post-race (188.67 ± 38.52 ng/ml) (p = 0.002). In contrast, means COMP, sCS846, sPIIANP, and median sYKL-40 were relatively stable. We found a positive association between sCK levels with sLDH pre-race (r = 0.758, p < 0.0001), post-race (r = 0.623, p = 0.008) and 48-h post-race (r = 0.842, p < 0.0001); sHA with sCRP post-race vs. 48 h post-race (r = 0.563, p = 0.019) and sPIINP with sCK pre-race vs. 48-h post-race (r = 0.499, p = 0.044) and with sLDH 48-h pre-race vs. post-race (r = 0.610, p = 0.009) and a negative correlation of sPIIANP with sCRP 48-h post-race (r = −0.570, p = 0.017). Conclusion: Marathon running is an exercise with high-energy demands (sCK and sLDH increase) that provokes a high and durable general inflammatory reaction (sCRP increase) and an immediately post-marathon mechanism to protect inflammation and cartilage (sHA increase). Accompanied by an increase in type II collagen cartilage fibrils synthesis (sPIINP increase) and a decrease in its catabolism (sC2C decrease), without changes in non-collagenous cartilage metabolism (sCOMP, sC846, and sYKL-40). Metabolic changes on sPIINP and sHA synthesis may be related to energy consumption (sCK, sLDH) and the inflammatory reaction (sCRP) produced.
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Affiliation(s)
- José A Hernández-Hermoso
- Department of Orthopedic Surgery and Traumatology, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain.,Department of Surgery, Faculty of Medicine, Universitat Autònoma Barcelona, Bellaterra, Spain
| | - Lexa Nescolarde
- Department of Electronic Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain
| | | | - Elena Revuelta-López
- Research Program, Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
| | - Jordi Ara
- Departament of Medicine, Faculty of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.,Department of Nephrology, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain
| | - Antoni Bayes-Genis
- Research Program, Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain.,Departament of Medicine, Faculty of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.,Department of Cardiology, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain
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10
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Lv Z, Yang YX, Li J, Fei Y, Guo H, Sun Z, Lu J, Xu X, Jiang Q, Ikegawa S, Shi D. Molecular Classification of Knee Osteoarthritis. Front Cell Dev Biol 2021; 9:725568. [PMID: 34513847 PMCID: PMC8429960 DOI: 10.3389/fcell.2021.725568] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 08/09/2021] [Indexed: 01/15/2023] Open
Abstract
Knee osteoarthritis (KOA) is the most common form of joint degeneration with increasing prevalence and incidence in recent decades. KOA is a molecular disorder characterized by the interplay of numerous molecules, a considerable number of which can be detected in body fluids, including synovial fluid, urine, and blood. However, the current diagnosis and treatment of KOA mainly rely on clinical and imaging manifestations, neglecting its molecular pathophysiology. The mismatch between participants' molecular characteristics and drug therapeutic mechanisms might explain the failure of some disease-modifying drugs in clinical trials. Hence, according to the temporal alteration of representative molecules, we propose a novel molecular classification of KOA divided into pre-KOA, early KOA, progressive KOA, and end-stage KOA. Then, progressive KOA is furtherly divided into four subtypes as cartilage degradation-driven, bone remodeling-driven, inflammation-driven, and pain-driven subtype, based on the major pathophysiology in patient clusters. Multiple clinical findings of representatively investigated molecules in recent years will be reviewed and categorized. This molecular classification allows for the prediction of high-risk KOA individuals, the diagnosis of early KOA patients, the assessment of therapeutic efficacy, and in particular, the selection of homogenous patients who may benefit most from the appropriate therapeutic agents.
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Affiliation(s)
- Zhongyang Lv
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Yannick Xiaofan Yang
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Jiawei Li
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Yuxiang Fei
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Hu Guo
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Ziying Sun
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Jun Lu
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Xingquan Xu
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Qing Jiang
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Shiro Ikegawa
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Science (IMS, RIKEN), Tokyo, Japan
| | - Dongquan Shi
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
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11
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Chu CR, Williams AA, Erhart-Hledik JC, Titchenal MR, Qian Y, Andriacchi TP. Visualizing pre-osteoarthritis: Integrating MRI UTE-T2* with mechanics and biology to combat osteoarthritis-The 2019 Elizabeth Winston Lanier Kappa Delta Award. J Orthop Res 2021; 39:1585-1595. [PMID: 33788306 DOI: 10.1002/jor.25045] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/03/2021] [Accepted: 03/24/2021] [Indexed: 02/04/2023]
Abstract
Osteoarthritis (OA) is a leading cause of pain and disability for which disease-modifying treatments remain lacking. This is because the symptoms and radiographic changes of OA occur after the onset of likely irreversible changes. Defining and treating earlier disease states are therefore needed to delay or to halt OA progression. Taking this concept a step further, studying OA pathogenesis before disease onset by characterizing potentially reversible markers of increased OA risk to identify a state of "pre-osteoarthritis (pre-OA)" shifts the paradigm towards OA prevention. The purpose of this review is to summarize the 42 studies comprising the 2019 Kappa Delta Elizabeth Lanier Award where conceptualization of a systems-based definition for "pre-osteoarthritis (pre-OA)" was followed by demonstration of potentially reversible markers of heightened OA risk in patients after anterior cruciate ligament (ACL) injury and reconstruction. In the process, these efforts contributed a new magnetic resonance imaging method of ultrashort echo time (UTE) enhanced T2* mapping to visualize joint tissue damage before the development of irreversible changes. The studies presented here support a transformative approach to OA that accounts for interactions between mechanical, biological, and structural markers of OA risk to develop and evaluate new treatment strategies that can delay or prevent the onset of clinical disease. This body of work was inspired by and performed for patients. Shifting the paradigm from attempting to modify symptomatic radiographic OA towards monitoring and reversing markers of "pre-OA" opens the door for transforming the clinical approach to OA from palliation to prevention.
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Affiliation(s)
- Constance R Chu
- Department Orthopaedic Surgery, Stanford University, Stanford, California, USA.,Department of Surgery, Veterans Affairs Palo Alto Healthcare System, Palo Alto, California, USA
| | - Ashley A Williams
- Department Orthopaedic Surgery, Stanford University, Stanford, California, USA.,Department of Surgery, Veterans Affairs Palo Alto Healthcare System, Palo Alto, California, USA
| | - Jennifer C Erhart-Hledik
- Department Orthopaedic Surgery, Stanford University, Stanford, California, USA.,Department of Surgery, Veterans Affairs Palo Alto Healthcare System, Palo Alto, California, USA
| | | | - Yongxian Qian
- Center for Biomedical Imaging, New York University, New York, New York, USA
| | - Thomas P Andriacchi
- Department Orthopaedic Surgery, Stanford University, Stanford, California, USA.,Department of Mechanical Engineering, Stanford University, Stanford, California, USA
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12
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Bernotiene E, Bagdonas E, Kirdaite G, Bernotas P, Kalvaityte U, Uzieliene I, Thudium CS, Hannula H, Lorite GS, Dvir-Ginzberg M, Guermazi A, Mobasheri A. Emerging Technologies and Platforms for the Immunodetection of Multiple Biochemical Markers in Osteoarthritis Research and Therapy. Front Med (Lausanne) 2020; 7:572977. [PMID: 33195320 PMCID: PMC7609858 DOI: 10.3389/fmed.2020.572977] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 08/31/2020] [Indexed: 12/12/2022] Open
Abstract
Biomarkers, especially biochemical markers, are important in osteoarthritis (OA) research, clinical trials, and drug development and have potential for more extensive use in therapeutic monitoring. However, they have not yet had any significant impact on disease diagnosis and follow-up in a clinical context. Nevertheless, the development of immunoassays for the detection and measurement of biochemical markers in OA research and therapy is an active area of research and development. The evaluation of biochemical markers representing low-grade inflammation or extracellular matrix turnover may permit OA prognosis and expedite the development of personalized treatment tailored to fit particular disease severities. However, currently detection methods have failed to overcome specific hurdles such as low biochemical marker concentrations, patient-specific variation, and limited utility of single biochemical markers for definitive characterization of disease status. These challenges require new and innovative approaches for development of detection and quantification systems that incorporate clinically relevant biochemical marker panels. Emerging platforms and technologies that are already on the way to implementation in routine diagnostics and monitoring of other diseases could potentially serve as good technological and strategic examples for better assessment of OA. State-of-the-art technologies such as advanced multiplex assays, enhanced immunoassays, and biosensors ensure simultaneous screening of a range of biochemical marker targets, the expansion of detection limits, low costs, and rapid analysis. This paper explores the implementation of such technologies in OA research and therapy. Application of novel immunoassay-based technologies may shed light on poorly understood mechanisms in disease pathogenesis and lead to the development of clinically relevant biochemical marker panels. More sensitive and specific biochemical marker immunodetection will complement imaging biomarkers and ensure evidence-based comparisons of intervention efficacy. We discuss the challenges hindering the development, testing, and implementation of new OA biochemical marker assays utilizing emerging multiplexing technologies and biosensors.
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Affiliation(s)
- Eiva Bernotiene
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | - Edvardas Bagdonas
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | - Gailute Kirdaite
- Department of Experimental, Preventive and Clinical Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | - Paulius Bernotas
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | - Ursule Kalvaityte
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | - Ilona Uzieliene
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | | | - Heidi Hannula
- Microelectronics Research Unit, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
| | - Gabriela S. Lorite
- Microelectronics Research Unit, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
| | - Mona Dvir-Ginzberg
- Laboratory of Cartilage Biology, Institute of Dental Sciences, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ali Guermazi
- Department of Radiology, Veterans Affairs Boston Healthcare System, Boston University School of Medicine, Boston, MA, United States
| | - Ali Mobasheri
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
- Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
- Departments of Orthopedics, Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, Netherlands
- Centre for Sport, Exercise and Osteoarthritis Versus Arthritis, Queen's Medical Centre, Nottingham, United Kingdom
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13
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Chu CR. Concepts Important to Secondary Prevention of Posttraumatic Osteoarthritis. J Athl Train 2019; 54:987-988. [PMID: 31437015 DOI: 10.4085/1062-6050-54.082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Constance R Chu
- Department of Orthopaedic Surgery, Stanford University School of Medicine, Redwood City, CA
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14
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Validation of a novel blinding method for measuring postoperative knee articular cartilage using magnetic resonance imaging. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2019; 32:693-702. [PMID: 31300932 DOI: 10.1007/s10334-019-00766-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 06/18/2019] [Accepted: 06/19/2019] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To test PEEK implant-associated MRI artifacts, a method for blinding MRI readers, the repeatability of cartilage thickness measures before and 6 weeks after high tibial osteotomy (HTO), and the sensitivity to change of cartilage thickness 12 months after HTO. MATERIALS AND METHODS Ten patients underwent HTO using a PEEK implant and 3 T-MRI before, 6 weeks and 12 months after surgery. Masks were applied to hide implant visibility on 48 MRI pairs, which were assessed by 7 readers (blinded to time). One blinded reader measured femorotibial cartilage thickness from masked MRIs. RESULTS No artifacts were produced. Readers were unable to identify scans by time greater than by chance. Cartilage thickness before and 6 weeks after surgery was not significantly different and indicated excellent repeatability. Medial cartilage thickness increases 12 M postoperatively approached statistical significance (p = 0.06), with no lateral changes observed. Half of the participants had an increase in medial cartilage thickness at 12 M that exceeded the minimal detectable change. Standardized response mean values were moderate-to-large. DISCUSSION Postoperative measures of cartilage thickness are repeatable, consistent and sensitive to change when artifact is eliminated, and a validated blinding technique is used. These results provide proof of concept for accurately measuring increases in medial knee articular cartilage after medial opening wedge HTO.
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15
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DeFrate LE, Kim-Wang SY, Englander ZA, McNulty AL. Osteoarthritis year in review 2018: mechanics. Osteoarthritis Cartilage 2019; 27:392-400. [PMID: 30597275 PMCID: PMC6489451 DOI: 10.1016/j.joca.2018.12.011] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 12/20/2018] [Accepted: 12/20/2018] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To review recent biomechanics literature focused on the interactions between biomechanics and articular cartilage health, particularly focused on macro-scale and human studies. DESIGN A literature search was conducted in PubMed using the search terms (biomechanics AND osteoarthritis) OR (biomechanics AND cartilage) OR (mechanics AND osteoarthritis) OR (mechanics AND cartilage) for publications from April 2017 to April 2018. RESULTS Abstracts from the 559 articles generated from the literature search were reviewed. Due to the wide range of topics, 62 full texts with a focus on in vivo biomechanical studies were included for further discussion. Several overarching themes in the recent literature were identified and are summarized, including 1) new methods to detect early osteoarthritis (OA) development, 2) studies describing healthy and OA cartilage and biomechanics, 3) ACL injury and OA development, 4) meniscus injury and OA development, and 5) OA prevention, treatment, and management. CONCLUSIONS Mechanical loading is a critical factor in the maintenance of joint health. Abnormal mechanical loading can lead to the onset and progression of OA. Thus, recent studies have utilized various biomechanical models to better describe the etiology of OA development and the subsequent effects of OA on the mechanics of joint tissues and whole body biomechanics.
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Affiliation(s)
- Louis E. DeFrate
- Department of Orthopaedic Surgery, Duke University School of Medicine, Duke University, Durham, North Carolina, USA,Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA,Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina, USA
| | - Sophia Y. Kim-Wang
- Department of Orthopaedic Surgery, Duke University School of Medicine, Duke University, Durham, North Carolina, USA,Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
| | - Zoë A. Englander
- Department of Orthopaedic Surgery, Duke University School of Medicine, Duke University, Durham, North Carolina, USA,Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
| | - Amy L. McNulty
- Department of Orthopaedic Surgery, Duke University School of Medicine, Duke University, Durham, North Carolina, USA,Department of Pathology, Duke University School of Medicine, Duke University, Durham, North Carolina, USA
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16
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Activation of mTORC1 in subchondral bone preosteoblasts promotes osteoarthritis by stimulating bone sclerosis and secretion of CXCL12. Bone Res 2019; 7:5. [PMID: 30792936 PMCID: PMC6381187 DOI: 10.1038/s41413-018-0041-8] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 11/02/2018] [Accepted: 11/14/2018] [Indexed: 01/05/2023] Open
Abstract
Increasing evidences show that aberrant subchondral bone remodeling plays an important role in the development of osteoarthritis (OA). However, how subchondral bone formation is activated and the mechanism by which increased subchondral bone turnover promotes cartilage degeneration during OA remains unclear. Here, we show that the mechanistic target of rapamycin complex 1 (mTORC1) pathway is activated in subchondral bone preosteoblasts (Osterix+) from OA patients and mice. Constitutive activation of mTORC1 in preosteoblasts by deletion of the mTORC1 upstream inhibitor, tuberous sclerosis 1, induced aberrant subchondral bone formation, and sclerosis with little-to-no effects on articular cartilage integrity, but accelerated post-traumatic OA development in mice. In contrast, inhibition of mTORC1 in preosteoblasts by disruption of Raptor (mTORC1-specific component) reduced subchondral bone formation and cartilage degeneration, and attenuated post-traumatic OA in mice. Mechanistically, mTORC1 activation promoted preosteoblast expansion and Cxcl12 secretion, which induced subchondral bone remodeling and cartilage degeneration during OA. A Cxcl12-neutralizing antibody reduced cartilage degeneration and alleviated OA in mice. Altogether, these findings demonstrate that mTORC1 activation in subchondral preosteoblasts is not sufficient to induce OA, but can induce aberrant subchondral bone formation and secrete of Cxcl12 to accelerate disease progression following surgical destabilization of the joint. Pharmaceutical inhibition of the pathway presents a promising therapeutic approach for OA treatment.
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17
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Edd SN, Omoumi P, Andriacchi TP, Jolles BM, Favre J. Modeling knee osteoarthritis pathophysiology using an integrated joint system (IJS): a systematic review of relationships among cartilage thickness, gait mechanics, and subchondral bone mineral density. Osteoarthritis Cartilage 2018; 26:1425-1437. [PMID: 30056214 DOI: 10.1016/j.joca.2018.06.017] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 06/08/2018] [Accepted: 06/26/2018] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To introduce an integrated joint system (IJS) model of joint health and osteoarthritis (OA) pathophysiology through a systematic review of the cross-sectional relationships among three knee properties (cartilage thickness, gait mechanics, and subchondral bone mineral density). METHODS Searches using keywords associated with the three knee properties of interest were performed in PubMed, Scopus, and Ovid databases. English-language articles reporting cross-sectional correlations between at least two knee properties in healthy or tibiofemoral OA human knees were included. A narrative synthesis of the data was conducted. RESULTS Of the 5600 retrieved articles, 13 were included, eight of which reported relationships between cartilage thickness and gait mechanics. The 744 tested knees were separated into three categories based on knee health: 199 healthy, 340 at-risk/early OA, and 205 late OA knees. Correlations between knee adduction moment and medial-to-lateral cartilage thickness ratios were generally positive in healthy, inconclusive in at-risk/early OA, and negative in late OA knees. Knee adduction moment was positively correlated with medial-to-lateral tibial subchondral bone mineral density ratios in knees of all health categories. One study reported a positive correlation between lateral tibial subchondral bone mineral density and femoral cartilage thickness in at-risk/early OA knees. CONCLUSIONS The correlations identified between knee properties in this review agreed with the proposed relationship-based IJS model of OA pathophysiology. Accordingly, the IJS model could provide insights into overcoming current barriers to developing disease-modifying treatments by considering multiple aspects of OA disease, aspects that could be assessed simultaneously at an in vivo system level.
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Affiliation(s)
- S N Edd
- Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne (UNIL), Department of Musculoskeletal Medicine (DAL), Swiss BioMotion Lab, Lausanne, Switzerland.
| | - P Omoumi
- Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne (UNIL), Department of Diagnostic and Interventional Radiology, Lausanne, Switzerland.
| | - T P Andriacchi
- Department of Mechanical Engineering, Stanford, CA, USA; Palo Alto Veterans Affairs, Palo Alto, CA, USA; Department of Orthopaedic Surgery, Stanford University Medical Center, Stanford, CA, USA.
| | - B M Jolles
- Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne (UNIL), Department of Musculoskeletal Medicine (DAL), Swiss BioMotion Lab, Lausanne, Switzerland; Ecole Polytechnique Fédérale de Lausanne (EPFL), Institute of Microengineering, Lausanne, Switzerland.
| | - J Favre
- Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne (UNIL), Department of Musculoskeletal Medicine (DAL), Swiss BioMotion Lab, Lausanne, Switzerland.
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