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Giaretta S, Magni A, Migliore A, Natoli S, Puntillo F, Ronconi G, Santoiemma L, Sconza C, Viapiana O, Zanoli G. A Review of Current Approaches to Pain Management in Knee Osteoarthritis with a Focus on Italian Clinical Landscape. J Clin Med 2024; 13:5176. [PMID: 39274389 PMCID: PMC11396710 DOI: 10.3390/jcm13175176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 07/24/2024] [Accepted: 08/11/2024] [Indexed: 09/16/2024] Open
Abstract
The global cases of knee osteoarthritis (KOA) are projected to increase by 74.9% by 2050. Currently, over half of patients remain dissatisfied with their pain relief. This review addresses unmet needs for moderate-to-severe KOA pain; it offers evidence and insights for improved management. Italian experts from the fields of rheumatology, physical medicine and rehabilitation, orthopedics, primary care, and pain therapy have identified several key issues. They emphasized the need for standardized care protocols to address inconsistencies in patient management across different specialties. Early diagnosis is crucial, as cartilage responds better to early protective and structural therapies. Faster access to physiatrist evaluation and reimbursement for physical, rehabilitative, and pharmacological treatments, including intra-articular (IA) therapy, could reduce access disparities. Concerns surround the adverse effects of oral pharmacological treatments, highlighting the need for safer alternatives. Patient satisfaction with corticosteroids and hyaluronic acid-based IA therapies reduces over time and there is no consensus on the optimal IA therapy protocol. Surgery should be reserved for severe symptoms and radiographic KOA evidence, as chronic pain post-surgery poses significant societal and economic burdens. The experts advocate for a multidisciplinary approach, promoting interaction and collaboration between specialists and general practitioners, to enhance KOA care and treatment consistency in Italy.
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Affiliation(s)
- Stefano Giaretta
- UOC Ortopedia e Traumatologia OC San Bortolo di Vicenza (AULSS 8 Berica), 36100 Vicenza, Italy
| | - Alberto Magni
- Local Health Department, Desenzano sul Garda, 25015 Brescia, Italy
| | - Alberto Migliore
- Unit of Rheumatology, San Pietro Fatebenefratelli Hospital, 00189 Rome, Italy
| | - Silvia Natoli
- Department of Clinical-Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy
- Pain Unit, IRCCS Policlinico San Matteo, 27100 Pavia, Italy
| | - Filomena Puntillo
- Anaesthesia, Intensive Care and Pain Unit, Department of Interdisciplinary Medicine, University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Gianpaolo Ronconi
- Department of Rehabilitation, Catholic University of the Sacred Heart, 00168 Rome, Italy
| | | | | | - Ombretta Viapiana
- Rheumatology Unit, Azienda Ospedaliera Universitaria Integrata di Verona, University of Verona, 37126 Verona, Italy
| | - Gustavo Zanoli
- Orthopaedic Ward, Casa di Cura Santa Maria Maddalena, Occhiobello, 45030 Rovigo, Italy
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Cheng L, Wang K, Chang S, Tan Y, He B. Effects of platelet-rich plasma combined with isometric quadriceps contraction on cartilage in a rat model of knee osteoarthritis. Regen Ther 2024; 26:469-477. [PMID: 39070125 PMCID: PMC11283084 DOI: 10.1016/j.reth.2024.06.021] [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: 06/10/2024] [Revised: 06/23/2024] [Accepted: 06/27/2024] [Indexed: 07/30/2024] Open
Abstract
Background Intra-articular injection of platelet-rich plasma (PRP) or isometric contraction of quadriceps (ICQ) has shown positive effects in patients with knee osteoarthritis (KOA). However, the synergistic effect of combining PRP and ICQ intervention (joint intervention) on cartilage repair has not been validated. Thus, this study aimed to explore the reparative effects of joint intervention on cartilage in a KOA rat model. Methods Fifty-four 2-month-old female Sprague-Dawley rats were randomly divided into the control group (CG, n = 6) and model group (injected with sodium iodoacetate, n = 48). After 1 week, six rats from the model group were randomly selected for validation. The remaining 42 rats were further divided into seven groups: PRP group (PRPG), ICQ group (ICQG), joint intervention group (JIG), normal saline group (NSG), acupuncture group (AG), normal saline and acupuncture group (NSAG) and model blank group (MBG). The intervention lasted for 4 weeks, with PRPG and JIG receiving PRP injections (twice) and ICQG and JIG undergoing ICQ (five times per week, 15 min each session). Results Histological staining with haematoxylin and eosin as well as transmission electron microscopy revealed severe cartilage damage in MBG, AG, NSAG and NSG, followed by PRPG and ICQG. JIG exhibited a more intact cartilage structure. Compared with JIG, the Mankin scores increased remarkably in PRPG, ICQG, AG, NSAG and NSG (P < 0.01). Relative mRNA expression levels showed the upregulation of IL-1β in ICQG, NSAG and NSG compared with JIG (P < 0.05) and the upregulation of IL-6, IL-18 and MMP-13 in AG and NSAG (P < 0.05). Compared with PRPG, IL-1β and IL-6 were upregulated in ICQG, AG, NSAG and NSG (P < 0.05). In addition, IL-18 was upregulated in AG (P < 0.01), and IL-18, MMP-13 and TNF-α were upregulated in NSAG (P < 0.05). Compared with ICQG, IL-1β, IL-18, MMP-13 and TNF-α were upregulated in NSAG (P < 0.05), and IL-1β and IL-18 were upregulated in AG (P < 0.05). Conclusion The combination of PRP and ICQ can alleviate inflammatory responses in cartilage, promote chondrocyte regeneration and facilitate matrix tissue repair. Compared with single interventions, a synergistic effect is observed.
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Affiliation(s)
- Liang Cheng
- School of Sports Medicine and Health, Chengdu Sport University, Chengdu, China
- Sichuan Academy of Chinese Medicine Sciences, Chengdu, China
- Human Movement Science, Sichuan Sports College, Chengdu, China
| | - Kun Wang
- School of Sports Medicine and Health, Chengdu Sport University, Chengdu, China
| | - Shuwan Chang
- School of Sports Medicine and Health, Chengdu Sport University, Chengdu, China
- Human Movement Science, Sichuan Sports College, Chengdu, China
| | - Yajun Tan
- Affiliated Sport Hospital of Chengdu Sport University, Chengdu, China
| | - Benxiang He
- Sichuan Academy of Chinese Medicine Sciences, Chengdu, China
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Bartels YL, van Lent PLEM, van der Kraan PM, Blom AB, Bonger KM, van den Bosch MHJ. Inhibition of TLR4 signalling to dampen joint inflammation in osteoarthritis. Rheumatology (Oxford) 2024; 63:608-618. [PMID: 37788083 PMCID: PMC10907820 DOI: 10.1093/rheumatology/kead493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 08/23/2023] [Accepted: 08/29/2023] [Indexed: 10/05/2023] Open
Abstract
Local and systemic low-grade inflammation, mainly involving the innate immune system, plays an important role in the development of OA. A receptor playing a key role in initiation of this inflammation is the pattern-recognition receptor Toll-like receptor 4 (TLR4). In the joint, various ligands for TLR4, many of which are damage-associated molecular patterns (DAMPs), are present that can activate TLR4 signalling. This leads to the production of pro-inflammatory and catabolic mediators that cause joint damage. In this narrative review, we will first discuss the involvement of TLR4 ligands and signalling in OA. Furthermore, we will provide an overview of methods for inhibit, TLR4 signalling by RNA interference, neutralizing anti-TLR4 antibodies, small molecules and inhibitors targeting the TLR4 co-receptor MD2. Finally, we will focus on possible applications and challenges of these strategies in the dampening of inflammation in OA.
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Affiliation(s)
- Yvonne L Bartels
- Experimental Rheumatology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Peter L E M van Lent
- Experimental Rheumatology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Peter M van der Kraan
- Experimental Rheumatology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Arjen B Blom
- Experimental Rheumatology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Kimberly M Bonger
- Synthetic Organic Chemistry, Institute for Molecules and Materials, Radboud University, Nijmegen, The Netherlands
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Saxer F, Hollinger A, Bjurström M, Conaghan P, Neogi T, Schieker M, Berenbaum F. Pain-phenotyping in osteoarthritis: Current concepts, evidence, and considerations towards a comprehensive framework for assessment and treatment. OSTEOARTHRITIS AND CARTILAGE OPEN 2024; 6:100433. [PMID: 38225987 PMCID: PMC10788802 DOI: 10.1016/j.ocarto.2023.100433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 12/30/2023] [Indexed: 01/17/2024] Open
Abstract
Objectives Pain as central symptom of osteoarthritis (OA) needs to be addressed as part of successful treatment. The assessment of pain as feature of disease or outcome in clinical practice and drug development remains a challenge due to its multidimensionality and the plethora of confounders. This article aims at providing insights into our understanding of OA pain-phenotypes and suggests a framework for systematic and comprehensive assessments. Methods This narrative review is based on a search of current literature for various combinations of the search terms "pain-phenotype" and "knee OA" and summarizes current knowledge on OA pain-phenotypes, putting OA pain and its assessment into perspective of current research efforts. Results Pain is a complex phenomenon, not necessarily associated with tissue damage. Various pain-phenotypes have been described in knee OA. Among those, a phenotype with high pain levels not necessarily matching structural changes and a phenotype with low pain levels and impact are relatively consistent. Further subgroups can be differentiated based on patient reported outcome measures, assessments of comorbidities, anxiety and depression, sleep, activity and objective measures such as quantitative sensory testing. Conclusions The complexity of both OA as disease and pain in OA prompt the definition of a set of variables that facilitate assessments comparable across studies to maximize our understanding of pain, as central concern for the patient.
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Affiliation(s)
- F. Saxer
- Novartis Biomedical Research, Novartis Campus, 4002, Basel, Switzerland
- Medical Faculty, University of Basel, 4002, Basel, Switzerland
| | - A. Hollinger
- Novartis Biomedical Research, Novartis Campus, 4002, Basel, Switzerland
- Intensive Care Unit, Department of Acute Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - M.F. Bjurström
- Department of Surgical Sciences, Anesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden
| | - P.G. Conaghan
- Leeds Institute of Rheumatic & Musculoskeletal Medicine, University of Leeds and NIHR Leeds Biomedical Research Centre, UK
| | - T. Neogi
- Clinical Epidemiology Research and Training Unit and Rheumatology, Boston University School of Medicine Epidemiology, Boston University School of Public Health, United States
| | - M. Schieker
- Novartis Biomedical Research, Novartis Campus, 4002, Basel, Switzerland
- Medical Faculty, Ludwig-Maximilians-University, Munich, 80336, Germany
| | - F. Berenbaum
- Department of Rheumatology, Sorbonne Université, INSERM CRSA, AP-HP Hopital Saint Antoine, Paris, France
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Fan X, Sun AR, Young RSE, Afara IO, Hamilton BR, Ong LJY, Crawford R, Prasadam I. Spatial analysis of the osteoarthritis microenvironment: techniques, insights, and applications. Bone Res 2024; 12:7. [PMID: 38311627 PMCID: PMC10838951 DOI: 10.1038/s41413-023-00304-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/21/2023] [Accepted: 11/27/2023] [Indexed: 02/06/2024] Open
Abstract
Osteoarthritis (OA) is a debilitating degenerative disease affecting multiple joint tissues, including cartilage, bone, synovium, and adipose tissues. OA presents diverse clinical phenotypes and distinct molecular endotypes, including inflammatory, metabolic, mechanical, genetic, and synovial variants. Consequently, innovative technologies are needed to support the development of effective diagnostic and precision therapeutic approaches. Traditional analysis of bulk OA tissue extracts has limitations due to technical constraints, causing challenges in the differentiation between various physiological and pathological phenotypes in joint tissues. This issue has led to standardization difficulties and hindered the success of clinical trials. Gaining insights into the spatial variations of the cellular and molecular structures in OA tissues, encompassing DNA, RNA, metabolites, and proteins, as well as their chemical properties, elemental composition, and mechanical attributes, can contribute to a more comprehensive understanding of the disease subtypes. Spatially resolved biology enables biologists to investigate cells within the context of their tissue microenvironment, providing a more holistic view of cellular function. Recent advances in innovative spatial biology techniques now allow intact tissue sections to be examined using various -omics lenses, such as genomics, transcriptomics, proteomics, and metabolomics, with spatial data. This fusion of approaches provides researchers with critical insights into the molecular composition and functions of the cells and tissues at precise spatial coordinates. Furthermore, advanced imaging techniques, including high-resolution microscopy, hyperspectral imaging, and mass spectrometry imaging, enable the visualization and analysis of the spatial distribution of biomolecules, cells, and tissues. Linking these molecular imaging outputs to conventional tissue histology can facilitate a more comprehensive characterization of disease phenotypes. This review summarizes the recent advancements in the molecular imaging modalities and methodologies for in-depth spatial analysis. It explores their applications, challenges, and potential opportunities in the field of OA. Additionally, this review provides a perspective on the potential research directions for these contemporary approaches that can meet the requirements of clinical diagnoses and the establishment of therapeutic targets for OA.
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Affiliation(s)
- Xiwei Fan
- Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia
- School of Mechanical, Medical & Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia
| | - Antonia Rujia Sun
- Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia
- School of Mechanical, Medical & Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia
| | - Reuben S E Young
- Central Analytical Research Facility, Queensland University of Technology, Brisbane, QLD, Australia
- Molecular Horizons, University of Wollongong, Wollongong, NSW, Australia
| | - Isaac O Afara
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- School of Electrical Engineering and Computer Science, Faculty of Engineering, Architecture and Information Technology, University of Queensland, Brisbane, QLD, Australia
| | - Brett R Hamilton
- Centre for Microscopy and Microanalysis, University of Queensland, Brisbane, QLD, Australia
| | - Louis Jun Ye Ong
- Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia
- School of Mechanical, Medical & Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia
| | - Ross Crawford
- Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia
- The Prince Charles Hospital, Brisbane, QLD, Australia
| | - Indira Prasadam
- Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia.
- School of Mechanical, Medical & Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia.
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Hannani MT, Thudium CS, Karsdal MA, Ladel C, Mobasheri A, Uebelhoer M, Larkin J, Bacardit J, Struglics A, Bay-Jensen AC. From biochemical markers to molecular endotypes of osteoarthritis: a review on validated biomarkers. Expert Rev Mol Diagn 2024; 24:23-38. [PMID: 38353446 DOI: 10.1080/14737159.2024.2315282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 02/02/2024] [Indexed: 02/22/2024]
Abstract
INTRODUCTION Osteoarthritis (OA) affects over 500 million people worldwide. OA patients are symptomatically treated, and current therapies exhibit marginal efficacy and frequently carry safety-risks associated with chronic use. No disease-modifying therapies have been approved to date leaving surgical joint replacement as a last resort. To enable effective patient care and successful drug development there is an urgent need to uncover the pathobiological drivers of OA and how these translate into disease endotypes. Endotypes provide a more precise and mechanistic definition of disease subgroups than observable phenotypes, and a panel of tissue- and pathology-specific biochemical markers may uncover treatable endotypes of OA. AREAS COVERED We have searched PubMed for full-text articles written in English to provide an in-depth narrative review of a panel of validated biochemical markers utilized for endotyping of OA and their association to key OA pathologies. EXPERT OPINION As utilized in IMI-APPROACH and validated in OAI-FNIH, a panel of biochemical markers may uncover disease subgroups and facilitate the enrichment of treatable molecular endotypes for recruitment in therapeutic clinical trials. Understanding the link between biochemical markers and patient-reported outcomes and treatable endotypes that may respond to given therapies will pave the way for new drug development in OA.
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Affiliation(s)
- Monica T Hannani
- ImmunoScience, Nordic Bioscience A/S, Herlev, Denmark
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | - Ali Mobasheri
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
- Department of Joint Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- World Health Organization Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Université de Liège, Liège, Belgium
| | | | - Jonathan Larkin
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
- SynOA Therapeutics, Philadelphia, PA, USA
| | - Jaume Bacardit
- School of Computing, Newcastle University, Newcastle upon Tyne, UK
| | - André Struglics
- Department of Clinical Sciences, Orthopaedics, Lund University, Lund, Sweden
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Filip SS, Kochmar VM, Stoika VV, Pushkash II. Endoscopic and morphological features of chronic gastritis in patients with lumbar spine osteochondrosis. WIADOMOSCI LEKARSKIE (WARSAW, POLAND : 1960) 2024; 77:533-538. [PMID: 38691796 DOI: 10.36740/wlek202403122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
OBJECTIVE Aim: of the study is to determine the endoscopic and morphological features of chronic gastritis (CG) in patients with lumbar spinal OC. PATIENTS AND METHODS Materials and Methods: 102 patients with lumbar spine OC and CG were examined. The patients were diagnosed with Helicobacter pylori (HP) infection, according to which the patients were divided into two groups: the first group included 92 HP-positive patients, the second group consisted of 10 HP-negative patients. RESULTS Results: Among HP infected patients with lumbar spine OC, erosive gastropathy was most often diagnosed (in 40 (43.5%) of the examined), as well as erosive-papular and erosive-hemorrhagic gastropathy (in 14 (15.2%) and in 16 (17, 4 %) of patients, respectively), while erythematous gastropathy was more often diagnosed among HP-negative patients (in 7 (70.0 %) cases, respectively). CONCLUSION Conclusions: 1. 90.2% of patients with lumbar spine OC and CG have been diagnosed with HP infection. 2. Endoscopically, the lesion of the stomach MM in patients with lumbar spine OC corresponds mainly to erosive and erosive-hemorrhagic forms of gastropathy. 3. During histological examination of stomach MM, mainly 2nd and 3rd degrees of inflammation were established, especially in patients with erosive, erosive-papular and erosive-hemorrhagic forms of gastropathy.
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Bairagi S, Abdollahifar MA, Atake OJ, Dust W, Wiebe S, Belev G, Chapman LD, Webb MA, Zhu N, Cooper DML, Eames BF. MRI overestimates articular cartilage thickness and volume compared to synchrotron radiation phase-contrast imaging. PLoS One 2023; 18:e0291757. [PMID: 37788257 PMCID: PMC10547194 DOI: 10.1371/journal.pone.0291757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 09/05/2023] [Indexed: 10/05/2023] Open
Abstract
Accurate evaluation of morphological changes in articular cartilage are necessary for early detection of osteoarthritis (OA). 3T magnetic resonance imaging (MRI) has highly sensitive contrast resolution and is widely used clinically to detect OA. However, synchrotron radiation phase-contrast imaging computed tomography (SR-PCI) can also provide contrast to tissue interfaces that do not have sufficient absorption differences, with the added benefit of very high spatial resolution. Here, MRI was compared with SR-PCI for quantitative evaluation of human articular cartilage. Medial tibial condyles were harvested from non-OA donors and from OA patients receiving knee replacement surgery. Both imaging methods revealed that average cartilage thickness and cartilage volume were significantly reduced in the OA group, compared to the non-OA group. When comparing modalities, the superior resolution of SR-PCI enabled more precise mapping of the cartilage surface relative to MRI. As a result, MRI showed significantly higher average cartilage thickness and cartilage volume, compared to SR-PCI. These data highlight the potential for high-resolution imaging of articular cartilage using SR-PCI as a solution for early OA diagnosis. Recognizing current limitations of using a synchrotron for clinical imaging, we discuss its nascent utility for preclinical models, particularly longitudinal studies of live animal models of OA.
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Affiliation(s)
- Suranjan Bairagi
- Department of Anatomy, Physiology, and Pharmacology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Mohammad-Amin Abdollahifar
- Department of Anatomy, Physiology, and Pharmacology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Oghenevwogaga J. Atake
- Department of Anatomy, Physiology, and Pharmacology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - William Dust
- Department of Surgery, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Sheldon Wiebe
- Department of Medical Imaging, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - George Belev
- Canadian Light Source Inc., Saskatoon, Saskatchewan, Canada
| | - L. Dean Chapman
- Department of Anatomy, Physiology, and Pharmacology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - M. Adam Webb
- Canadian Light Source Inc., Saskatoon, Saskatchewan, Canada
| | - Ning Zhu
- Canadian Light Source Inc., Saskatoon, Saskatchewan, Canada
| | - David M. L. Cooper
- Department of Anatomy, Physiology, and Pharmacology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - B. Frank Eames
- Department of Anatomy, Physiology, and Pharmacology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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Mobasheri A, Thudium CS, Bay-Jensen AC, Maleitzke T, Geissler S, Duda GN, Winkler T. Biomarkers for osteoarthritis: Current status and future prospects. Best Pract Res Clin Rheumatol 2023; 37:101852. [PMID: 37620236 DOI: 10.1016/j.berh.2023.101852] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 06/14/2023] [Indexed: 08/26/2023]
Abstract
Osteoarthritis (OA) is the most common form of arthritis globally and a major cause of pain, physical disability, and loss of economic productivity, with currently no causal treatment available. This review article focuses on current research on OA biomarkers and the potential for using biomarkers in future clinical practice and clinical trials of investigational drugs. We discuss how biomarkers, specifically soluble ones, have a long path to go before reaching clinical standards of care. We also discuss how biomarkers can help in phenotyping and subtyping to achieve enhanced stratification and move toward better-designed clinical trials. We also describe how biomarkers can be used for molecular endotyping and for determining the clinical outcomes of investigational cell-based therapies. Biomarkers have the potential to be developed as surrogate end points in clinical trials and help private-public consortia and the biotechnology and pharmaceutical industries develop more effective and targeted personalized treatments and enhance clinical care for patients with OA.
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Affiliation(s)
- Ali Mobasheri
- Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland; Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania; Department of Joint Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China; World Health Organization Collaborating Center for Public Health Aspects of Musculoskeletal Health and Aging, Université de Liège, Belgium.
| | | | | | - Tazio Maleitzke
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Center for Musculoskeletal Surgery, Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Julius Wolff Institute, Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Clinician Scientist Program, Berlin, Germany
| | - Sven Geissler
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Center for Musculoskeletal Surgery, Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Julius Wolff Institute, Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Clinician Scientist Program, Berlin, Germany; Berlin Center for Advanced Therapies (BECAT), Charité - Universitätsmedizin Berlin, 13353 Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Georg N Duda
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Center for Musculoskeletal Surgery, Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Julius Wolff Institute, Berlin, Germany; Berlin Center for Advanced Therapies (BECAT), Charité - Universitätsmedizin Berlin, 13353 Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Tobias Winkler
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Center for Musculoskeletal Surgery, Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Julius Wolff Institute, Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
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Binvignat M, Pedoia V, Butte AJ, Louati K, Klatzmann D, Berenbaum F, Mariotti-Ferrandiz E, Sellam J. Use of machine learning in osteoarthritis research: a systematic literature review. RMD Open 2022; 8:e001998. [PMID: 35296530 PMCID: PMC8928401 DOI: 10.1136/rmdopen-2021-001998] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 02/16/2022] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVE The aim of this systematic literature review was to provide a comprehensive and exhaustive overview of the use of machine learning (ML) in the clinical care of osteoarthritis (OA). METHODS A systematic literature review was performed in July 2021 using MEDLINE PubMed with key words and MeSH terms. For each selected article, the number of patients, ML algorithms used, type of data analysed, validation methods and data availability were collected. RESULTS From 1148 screened articles, 46 were selected and analysed; most were published after 2017. Twelve articles were related to diagnosis, 7 to prediction, 4 to phenotyping, 12 to severity and 11 to progression. The number of patients included ranged from 18 to 5749. Overall, 35% of the articles described the use of deep learning And 74% imaging analyses. A total of 85% of the articles involved knee OA and 15% hip OA. No study investigated hand OA. Most of the studies involved the same cohort, with data from the OA initiative described in 46% of the articles and the MOST and Cohort Hip and Cohort Knee cohorts in 11% and 7%. Data and source codes were described as publicly available respectively in 54% and 22% of the articles. External validation was provided in only 7% of the articles. CONCLUSION This review proposes an up-to-date overview of ML approaches used in clinical OA research and will help to enhance its application in this field.
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Affiliation(s)
- Marie Binvignat
- Department of Rheumatology, Hôpital Saint-Antoine, Assistance Publique - Hôpitaux de Paris (AP-HP), Centre de Recherche Saint-Antoine, Inserm UMRS_938, Assistance Publique - Hôpitaux de Paris (AP-HP), Sorbonne Universite, Paris, France
- Bakar Computational Health Science Institute, University of California, San Francisco, California, USA
- Immunology Immunopathology Immunotherapy UMRS_959, Sorbonne Universite, Paris, France
| | - Valentina Pedoia
- Center for Intelligent Imaging (CI2), Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Atul J Butte
- Bakar Computational Health Science Institute, University of California, San Francisco, California, USA
| | - Karine Louati
- Department of Rheumatology, Hôpital Saint-Antoine, Assistance Publique - Hôpitaux de Paris (AP-HP), Centre de Recherche Saint-Antoine, Inserm UMRS_938, Assistance Publique - Hôpitaux de Paris (AP-HP), Sorbonne Universite, Paris, France
| | - David Klatzmann
- Immunology Immunopathology Immunotherapy UMRS_959, Sorbonne Universite, Paris, France
- Biotherapy (CIC-BTi) and Inflammation Immunopathology-Biotherapy Department (i2B), Hôpital Pitié-Salpêtrière, AP-HP, Paris, France
| | - Francis Berenbaum
- Department of Rheumatology, Hôpital Saint-Antoine, Assistance Publique - Hôpitaux de Paris (AP-HP), Centre de Recherche Saint-Antoine, Inserm UMRS_938, Assistance Publique - Hôpitaux de Paris (AP-HP), Sorbonne Universite, Paris, France
| | | | - Jérémie Sellam
- Department of Rheumatology, Hôpital Saint-Antoine, Assistance Publique - Hôpitaux de Paris (AP-HP), Centre de Recherche Saint-Antoine, Inserm UMRS_938, Assistance Publique - Hôpitaux de Paris (AP-HP), Sorbonne Universite, Paris, France
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11
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Del Amo C, Perez-Valle A, Atilano L, Andia I. Unraveling the Signaling Secretome of Platelet-Rich Plasma: Towards a Better Understanding of Its Therapeutic Potential in Knee Osteoarthritis. J Clin Med 2022; 11:473. [PMID: 35159924 PMCID: PMC8836812 DOI: 10.3390/jcm11030473] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 01/10/2022] [Accepted: 01/13/2022] [Indexed: 12/11/2022] Open
Abstract
Platelets and their secretory products play an important role in determining the balance between tissue repair and tissue damage. To obtain novel insights into the molecular composition of platelet-rich plasma (PRP) and contextualize them in knee osteoarthritis (OA), two different plasma formulations, namely PRP and platelet-poor plasma (PPP), were prepared from six healthy donors following a biobank-automated protocol. Inter-donor differences were analyzed, and pools were created before performing multiplexing protein arrays. In addition, PRP and PPP were prepared from six patients following our in-house protocols. Supernatants from PRP and PPP were harvested one hour after calcium chloride activation. Multiplexing protein arrays were performed in parallel for all plasma formulations. Results were normalized to fold change in relation to PPP and examined using Ingenuity Pathway Analysis Software. Bioinformatic predictions showed that PRPs constitute a signaling system with interrelated networks of inflammatory and angiogenic proteins, including but not limited to interleukin-6 and -8 (IL-6, IL-8), insulin like growth factor 1 (IGF-1), transforming growth factor beta, (TGF-b), and vascular endothelial growth factor (VEGF) signaling, underlying biological actions. Predictions of canonical systems activated with PRP molecules include various inflammatory pathways, including high-mobility group box protein (HMGB1) and interleukin 17 (IL-17) signaling, neuroinflammation, and nuclear factor-kappa b (NF-κB) pathways. Eventually, according to these predictions and OA evolving knowledge, selected PRP formulations should be tailored to modulate different inflammatory phenotypes, i.e., meta-inflammation, inflame-aging or posttraumatic inflammatory osteoarthritis. However, further research to discriminate the peculiarities of autologous versus allogeneic formulations and their effects on the various OA inflammatory phenotypes is needed to foster PRPs.
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Affiliation(s)
- Cristina Del Amo
- Regenerative Therapies, Bioprinting Laboratory, Biocruces Bizkaia Health Research Institute, Cruces University Hospital, 48903 Barakaldo, Spain; (C.D.A.); (A.P.-V.); (L.A.)
| | - Arantza Perez-Valle
- Regenerative Therapies, Bioprinting Laboratory, Biocruces Bizkaia Health Research Institute, Cruces University Hospital, 48903 Barakaldo, Spain; (C.D.A.); (A.P.-V.); (L.A.)
| | - Leire Atilano
- Regenerative Therapies, Bioprinting Laboratory, Biocruces Bizkaia Health Research Institute, Cruces University Hospital, 48903 Barakaldo, Spain; (C.D.A.); (A.P.-V.); (L.A.)
- Radiology Service, Interventional Ultrasound Unit, Cruces University Hospital, 48903 Barakaldo, Spain
| | - Isabel Andia
- Regenerative Therapies, Bioprinting Laboratory, Biocruces Bizkaia Health Research Institute, Cruces University Hospital, 48903 Barakaldo, Spain; (C.D.A.); (A.P.-V.); (L.A.)
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12
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Rai MF. Back to basics: Transcriptomics studies for deep phenotyping of osteoarthritis. OSTEOARTHRITIS AND CARTILAGE OPEN 2021; 3:100166. [PMID: 36474769 PMCID: PMC9718213 DOI: 10.1016/j.ocarto.2021.100166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 04/06/2021] [Indexed: 11/21/2022] Open
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13
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Mobasheri A, Trumble TN, Byron CR. Editorial: One Step at a Time: Advances in Osteoarthritis. Front Vet Sci 2021; 8:727477. [PMID: 34336985 PMCID: PMC8322576 DOI: 10.3389/fvets.2021.727477] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 06/21/2021] [Indexed: 12/14/2022] Open
Affiliation(s)
- Ali Mobasheri
- Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
- Departments of Orthopedics, Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, Netherlands
- Department of Joint Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- World Health Organization Collaborating Center for Public Health Aspects of Musculoskeletal Health and Aging, Université de Liège, Liège, Belgium
| | - Troy N. Trumble
- Veterinary Population Medicine, University of Minnesota Twin Cities, St. Paul, MN, United States
| | - Christopher R. Byron
- Department of Large Animal Clinical Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, United States
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