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Journal: Osteoarthritis and Cartilage

Abbreviation

Osteoarthr. cartil.

Publisher

Elsevier

Journal Volumes

ISSN

1063-4584
1522-9653

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Publications 1 - 10 of 29
  • Preclinical investigation of the development of osteoarthritis-like degeneration in a rat trauma model using micro-computed tomography
    Item type: Other Conference Item
    Steiner, T. H.; Choo, R. J.; Quintin, A.; et al. (2012)
    Osteoarthritis and Cartilage
  • Identifying structural cues involved with osteoarthritis disease in human humeral heads
    Item type: Other Conference Item
    Pawson, Duncan J.; Glanzmann, M.; Bangar, Harshit; et al. (2014)
    Osteoarthritis and Cartilage
  • Clinical validation of fully automated segmentation of thigh muscle and adipose tissue cross sectional areas using maching learning with a convolutional neural network
    Item type: Other Conference Item
    Kemnitz, Jana; Baumgartner, Christian; Ruhdorfer, Anja S.; et al. (2019)
    Osteoarthritis and Cartilage
  • Fully automated cartilage segmentation of late stage osteoarthritis (KLG4) knees using deep learning with U-net architectures - model specificity is important
    Item type: Journal Article
    Wisser, Anna; Wirth, Wolfgang; Chaudhary, Aakanksha; et al. (2021)
    Osteoarthritis and Cartilage
  • Lumican is upregulated in osteoarthritis and contributes to TLR4-induced pro-inflammatory activation of cartilage degradation and macrophage polarization
    Item type: Journal Article
    Barreto, Gonçalo; Senturk, Berna; Colombo, Lorenzo; et al. (2020)
    Osteoarthritis and Cartilage
  • Insight from direct in vivo measurements on the force distribution across the human knee in flexion
    Item type: Other Conference Item
    Heller, M. O.; Trepczynski, A.; Kutzner, I.; et al. (2014)
    Osteoarthritis and Cartilage
  • Sensitive discrimination metrics of structural deterioration in a preclinical osteoarthritis-like rat trauma model
    Item type: Other Conference Item
    Villarreal, Arturo; Atal, Kiran; Steiner, Thomas; et al. (2013)
    Osteoarthritis and Cartilage
  • Development of a predictive model for estimating the probability of treatment success one year after total shoulder replacement – cohort study
    Item type: Journal Article
    Simmen, Beat R.; Bachmann, Lucas M.; Drerup, Susann; et al. (2008)
    Osteoarthritis and Cartilage
    Objective To Estimate the probability of treatment success 1 year after a total shoulder arthroplasty by developing a model based on preoperative clinical factors. Method Between June 2003 and December 2006, 140 patients undergoing shoulder operations were assessed for age, gender, current rheumatoid arthritis, Short Form (SF) 36 physical and mental sum scores, previous shoulder operations, the Disabilities of Arm, Shoulder and Hand (DASH) symptom and function scores, the Shoulder Pain and Disability Index (SPADI), and insurance status. One year after the operation a Constant score of 80 or more out of 100 indicated successful treatment. Patient variables were analyzed with a logistic regression model augmented in a stepwise manner and bootstrapped 100 times. Variables selected at least 33 times were incorporated into a final model and the Area under the Receiver Operating Characteristics Curve (aROC) was calculated. Results There were 47/140 (33.6%) successful treatments. The probability of success was reduced in patients with previous shoulder operations (Odds Ratio [O.R.] 0.17, 95% Confidence Interval (95%CI) 0.04–0.85; P = 0.03) and older than 75 years (O.R. 0.21, 95%CI 0.05–0.77; P = 0.02). The probability of success increased in patients with a higher SF 36 mental sum score (O.R. 1.03, 95%CI 0.96–1.09, P = 0.42) and a higher DASH function score (O.R. 1.05, 95%CI 1.02–1.07, P = 0.001). The aROC was 0.79 (0.70–0.88) indicating that the model has a high predictive capacity. Conclusion Once validated this model based on four preoperative clinical factors offers a prediction of whether a patient will respond to treatment 1 year after total shoulder arthroplasty.
  • Evolution and advancements in genomics and epigenomics in OA research: How far we have come
    Item type: Review Article
    Ramos, Yolande F.M.; Rice, Sarah J.; Ali, Shabana Amanda; et al. (2024)
    Osteoarthritis and Cartilage
    Objective: Osteoarthritis (OA) is the most prevalent musculoskeletal disease affecting articulating joint tissues, resulting in local and systemic changes that contribute to increased pain and reduced function. Diverse technological advancements have culminated in the advent of high throughput "omic" technologies, enabling identification of comprehensive changes in molecular mediators associated with the disease. Amongst these technologies, genomics and epigenomics - including methylomics and miRNomics, have emerged as important tools to aid our biological understanding of disease. Design: In this narrative review, we selected articles discussing advancements and applications of these technologies to OA biology and pathology. We discuss how genomics, deoxyribonucleic acid (DNA) methylomics, and miRNomics have uncovered disease-related molecular markers in the local and systemic tissues or fluids of OA patients. Results: Genomics investigations into the genetic links of OA, including using genome-wide association studies, have evolved to identify 100+genetic susceptibility markers of OA. Epigenomic investigations of gene methylation status have identified the importance of methylation to OA-related catabolic gene expression. Furthermore, miRNomic studies have identified key microRNA signatures in various tissues and fluids related to OA disease. Conclusions: Sharing of standardized, well-annotated omic datasets in curated repositories will be key to enhancing statistical power to detect smaller and targetable changes in the biological signatures underlying OA pathogenesis. Additionally, continued technological developments and analysis methods, including using computational molecular and regulatory networks, are likely to facilitate improved detection of disease-relevant targets, in-turn, supporting precision medicine approaches and new treatment strategies for OA.
  • Sexual dimorphism of the synovial transcriptome underpins greater PTOA disease severity in male mice following joint injury
    Item type: Journal Article
    Bergman, Rachel F.; Lammlin, Lindsey; Junginger, Lucas; et al. (2024)
    Osteoarthritis and Cartilage
    Objective: Osteoarthritis (OA) is a disease with sex-dependent prevalence and severity in both human and animal models. We sought to elucidate sex differences in synovitis, mechanical sensitization, structural damage, bone remodeling, and the synovial transcriptome in the anterior cruciate ligament rupture (ACLR) mouse model of post-traumatic OA (PTOA). Design: Male and female 12-week-old C57/BL6J mice were randomized to Sham or noninvasive ACLR with harvests at 7d or 28d post-ACLR (n=9 per sex in each group - Sham, 7d ACLR, 28d ACLR). Knee hyperalgesia, mechanical allodynia, and intra-articular matrix metalloproteinase (MMP) activity (via intravital imaging) were measured longitudinally. Trabecular and subchondral bone (SCB) remodeling and osteophyte formation were assessed by μCT. Histological scoring of PTOA, synovitis, and anti-MMP13 immunostaining were performed. Naᵥ1.8-Cre;tdTomato mice were used to document localization and sprouting of nociceptors. Bulk RNA-seq of synovium in Sham, 7d, and 28d post-ACLR, and contralateral joints (n=6 per group per sex) assessed injury-induced and sex-dependent gene expression. Results: Male mice exhibited more severe joint damage at 7d and 28d and more severe synovitis at 28d, accompanied by 19% greater MMP activity, 8% lower knee hyperalgesia threshold, and 43% lower hindpaw withdrawal threshold in injured limbs compared to female injured limbs. Females had injury-induced catabolic responses in trabecular and SCB, whereas males exhibited 133% greater normalized osteophyte volume relative to females and sclerotic remodeling of trabecular and SCB. Naᵥ1.8+ nociceptor sprouting in SCB and medial synovium was induced by injury and comparable between sexes. RNA-seq of synovium demonstrated similar injury-induced transcriptomic programs between the sexes at 7d, but only female mice exhibited a transcriptomic signature indicative of synovial inflammatory resolution by 28d, whereas males had persistent pro-inflammatory, pro-fibrotic, pro-neurogenic, and pro-angiogenic gene expression. Conclusion: Male mice exhibited more severe overall joint damage and pain behavior after ACLR, which was associated with persistent activation of synovial inflammatory, fibrotic, and neuroangiogenic processes, implicating persistent synovitis in driving sex differences in murine PTOA.
Publications 1 - 10 of 29