Osteoarthritis of the knee and spine is highly prevalent in modern society, yet a disease-modifying pharmacological treatment remains an unmet clinical need. A major challenge for drug development includes selection of appropriate preclinical models that accurately reflect clinical phenotypes of human disease. The aim of this study was to establish an ex vivo explant model of human knee and spine osteoarthritis that enables assessment of osteochondral tissue responses to inflammation and drug treatment. Equal-sized osteochondral fragments from knee and facet joints (both = 6) were subjected to explant culture for 7 days in the presence of a toll-like receptor 4 (TLR4) agonist and an inhibitor of transforming growth factor-beta (TGF-β) receptor type I signaling. Markers of inflammation, interleukin-6 (IL-6) and monocyte chemoattractant protein-1 (MCP-1), but not bone metabolism (pro-collagen-I) were significantly increased by treatment with TLR4 agonist. Targeting of TGF-β signaling resulted in a strong reduction of pro-collagen-I and significantly decreased IL-6 levels. MCP-1 secretion was increased, revealing a regulatory feedback mechanism between TGF-β and MCP-1 in joint tissues. These findings demonstrate proof-of-concept and feasibility of explant culture of human osteochondral specimens as a preclinical disease model, which might aid in definition and validation of disease-modifying drug targets.
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http://dx.doi.org/10.3390/ijms19051314 | DOI Listing |
Curr Pain Headache Rep
January 2025
Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, CA, USA.
Purpose Of Review: Artificial intelligence (AI) offers a new frontier for aiding in the management of both acute and chronic pain, which may potentially transform opioid prescribing practices and addiction prevention strategies. In this review paper, not only do we discuss some of the current literature around predicting various opioid-related outcomes, but we also briefly point out the next steps to improve trustworthiness of these AI models prior to real-time use in clinical workflow.
Recent Findings: Machine learning-based predictive models for identifying risk for persistent postoperative opioid use have been reported for spine surgery, knee arthroplasty, hip arthroplasty, arthroscopic joint surgery, outpatient surgery, and mixed surgical populations.
Orthop Surg
January 2025
Department of Orthopedics, Tianjin Medical University General Hospital, International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Key Laboratory of Spine and Spinal Cord, Tianjin, China.
Objective: Knee osteoarthritis (KOA) is characterized by structural changes. Aging is a major risk factor for KOA. Therefore, the objective of this study was to examine the role of genes related to aging and circadian rhythms in KOA.
View Article and Find Full Text PDFFront Rehabil Sci
January 2025
Department of Orthopaedic Surgery Changi General Hospital, Singapore, Singapore.
Background: The prevalence of knee osteoarthritis in Southeast Asia has increased steadily over the years. When conservative management options fail, total knee arthroplasty (TKA) is a reliable surgical option. Despite over 90% post-operative satisfaction, the high volume of TKAs performed means that even a small percentage of dissatisfied patients holds significance.
View Article and Find Full Text PDFJ Arthroplasty
January 2025
Department of Orthopaedic Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. Electronic address:
Background: Knee osteoarthritis (OA) is a common degenerative musculoskeletal condition that impairs mobility and balance, increasing fall risk. When combined with osteoporosis, it further increases the risk of fragility fractures. Despite its prevalence, the frequency of knee OA in patients who have fragility hip fractures (FHFs) is not well established.
View Article and Find Full Text PDFJBJS Rev
January 2025
Adult Reconstruction, Orthopedic Surgery Department, Lenox Hill Hospital Northwell Health, New York, New York.
» Lumbar spine pathology is a known cause of referred pain to the lower extremities and should be investigated as a possible source of knee pain, especially with patients in their sixth decade.» While primary knee pathology is common, spinal pathology should always be considered in older patients presenting with knee pain, especially in atraumatic cases where knee imaging does not correlate with complaints or examination findings.» Lumbar (L) 3-4 pathology is most commonly affected in referred knee pain, with the 2 most common pathologies being spinal stenosis and disc herniation.
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