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Journal articles on the topic 'Joint disease models'

Author: Grafiati

Published: 11 December 2022

Last updated: 31 July 2025

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1

Chaudhary, Archana, and Pandit Vinay. "Rheumatoid Arthritis: Etiology, Treatment and Animal Models." Journal of Drug Delivery and Therapeutics 10, no. 5-s (2020): 290–98. http://dx.doi.org/10.22270/jddt.v10i5-s.4357.

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Rheumatoid arthritis is an autoimmune disease that can cause joint pain and damage throughout your body. About 75% of Rheumatoid arthritis patients are women. In fact, 1 – 3% of women may get rheumatoid arthritis in their lifetime. The disease most often begins between the ages of 30 and 50. Rheumatoid arthritis occurs when your immune system attacks the synovium, the lining of the membranes that surround your joints. The resulting inflammation thickens the synovium, which can eventually destroy the cartilage and bone within the joint. The tendons and ligaments that hold the joint together wea

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Huang, Jie, Lingqiang Zhang, Aiping Lu, and Chao Liang. "Organoids as Innovative Models for Bone and Joint Diseases." Cells 12, no. 12 (2023): 1590. http://dx.doi.org/10.3390/cells12121590.

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Bone is one of the key components of the musculoskeletal system. Bone and joint disease are the fourth most widespread disease, in addition to cardiovascular disease, cancer, and diabetes, which seriously affect people’s quality of life. Bone organoids seem to be a great model by which to promote the research method, which further could improve the treatment of bone and joint disease in the future. Here, we introduce the various bone and joint diseases and their biology, and the conditions of organoid culture, comparing the in vitro models among 2D, 3D, and organoids. We summarize the differin

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Goess, Christian, Richard McCarthy, Lian Rundell, et al. "Kinetics of knee synovial lavage inflammation in rodent models of collagen induced arthritis. (171.15)." Journal of Immunology 188, no. 1_Supplement (2012): 171.15. http://dx.doi.org/10.4049/jimmunol.188.supp.171.15.

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Abstract Rheumatoid arthritis (RA) is an autoimmune disease characterized by inflammation, swelling, and destruction of joints. In this study we used intra-articular lavage of the knee joint to easily and rapidly assess the kinetics of cellular infiltration and cytokine production within the local joint synovial environment during disease in rodent models of arthritis. In collagen induced arthritis in rats, knees of arthritic animals had increased cellularity composed of neutrophils, monocytes and T cells as well as marked increases in pro-inflammatory cytokines and chemokines including IL-1b,

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Brandt, Kenneth D. "Animal models of osteoarthritis." Biorheology: The Official Journal of the International Society of Biorheology 39, no. 1-2 (2002): 221–35. http://dx.doi.org/10.1177/0006355x2002039001002024.

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Animal models have proved to be of considerable importance in elucidating mechanisms underlying joint damage in osteoarthritis (OA) and providing proof of concept in the development of pharmacologic and biologic agents that may modify structural damage in the OA joint. The utility of animal models in predicting the response to an intervention with a drug or biologic agent in humans, however, can be established only after evidence is obtained of a positive effect of the agent in humans. To date, no agent has been shown unequivocally to have such an effect, although diacerhein and glucosamine ha

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Li, Dan, Samuel Iddi, Wesley K. Thompson, and Michael C. Donohue. "Bayesian latent time joint mixed effect models for multicohort longitudinal data." Statistical Methods in Medical Research 28, no. 3 (2017): 835–45. http://dx.doi.org/10.1177/0962280217737566.

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Characterization of long-term disease dynamics, from disease-free to end-stage, is integral to understanding the course of neurodegenerative diseases such as Parkinson’s and Alzheimer’s, and ultimately, how best to intervene. Natural history studies typically recruit multiple cohorts at different stages of disease and follow them longitudinally for a relatively short period of time. We propose a latent time joint mixed effects model to characterize long-term disease dynamics using this short-term data. Markov chain Monte Carlo methods are proposed for estimation, model selection, and inference

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Herzog, W., A. Clark, and J. Wu. "Resultant and local loading in models of joint disease." Arthritis & Rheumatism 49, no. 2 (2003): 239–47. http://dx.doi.org/10.1002/art.11004.

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Dong, Jianghu (James), Jiguo Cao, Jagbir Gill, Clifford Miles, and Troy Plumb. "Functional joint models for chronic kidney disease in kidney transplant recipients." Statistical Methods in Medical Research 30, no. 8 (2021): 1932–43. http://dx.doi.org/10.1177/09622802211009265.

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This functional joint model paper is motivated by a chronic kidney disease study post kidney transplantation. The available kidney organ is a scarce resource because millions of end-stage renal patients are on the waiting list for kidney transplantation. The life of the transplanted kidney can be extended if the progression of the chronic kidney disease stage can be slowed, and so a major research question is how to extend the transplanted kidney life to maximize the usage of the scarce organ resource. The glomerular filtration rate is the best test to monitor the progression of the kidney fun

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Dvorak, N. "TOWARDS FUNCTIONAL PATIENT-DERIVED ORGANOIDS AS MODELS FOR SOFT-TISSUE JOINT DISEASE." Orthopaedic Proceedings 106-B, SUPP_2 (2024): 130. http://dx.doi.org/10.1302/1358-992x.2024.2.130.

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In-vitro models of disease are valuable tools for studying disease and analysing response to therapeutics. Recently, advances in patient-derived organoid (PDO) models have been shown to faithfully recapitulate structure, function, and therapeutic response for a wide range of tissues. Frozen shoulder is a rare example of a chronic inflammatory fibrotic disease which is self-limiting, unlike many other soft tissue fibrotic disorders. As no in-vitro 3D models or in-vivo animal models exist for frozen shoulder, establishing an organoid model which recapitulates core diseases features may give insi

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Baer, Daniel R., Andrew B. Lawson, and Jane E. Joseph. "Joint space–time Bayesian disease mapping via quantification of disease risk association." Statistical Methods in Medical Research 30, no. 1 (2021): 35–61. http://dx.doi.org/10.1177/0962280220938975.

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Alzheimer’s disease is an increasingly prevalent neurological disorder with no effective therapies. Thus, there is a need to characterize the progression of Alzheimer’s disease risk in order to preclude its inception in patients. Characterizing Alzheimer’s disease risk can be accomplished at the population-level by the space–time modeling of Alzheimer’s disease incidence data. In this paper, we develop flexible Bayesian hierarchical models which can borrow risk information from conditions antecedent to Alzheimer’s disease, such as mild cognitive impairment, in an effort to better characterize

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Filer, Andrew, Paola de Pablo, Gina Allen, et al. "Utility of ultrasound joint counts in the prediction of rheumatoid arthritis in patients with very early synovitis." Annals of the Rheumatic Diseases 70, no. 3 (2010): 500–507. http://dx.doi.org/10.1136/ard.2010.131573.

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ObjectivesEarly therapy improves outcomes in rheumatoid arthritis (RA). It is therefore important to improve predictive algorithms for RA in early disease. This study evaluated musculoskeletal ultrasound, a sensitive tool for the detection of synovitis and erosions, as a predictor of outcome in very early synovitis.Methods58 patients with clinically apparent synovitis of at least one joint and symptom duration of ≤3 months underwent clinical, laboratory, radiographic and 38 joint ultrasound assessments and were followed prospectively for 18 months, determining outcome by 1987 American College

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de Punder, Yvonne M. R., Jos Hendrikx, Alfons A. den Broeder, Elia Valls Pascual, Piet L. van Riel, and Jaap Fransen. "Should We Redefine Treatment Targets in Rheumatoid Arthritis? Low Disease Activity Is Sufficiently Strict for Patients Who Are Anticitrullinated Protein Antibody-negative." Journal of Rheumatology 40, no. 8 (2013): 1268–74. http://dx.doi.org/10.3899/jrheum.121438.

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Objective.Clinical remission currently is the treatment target for all patients with rheumatoid arthritis (RA). At the same level of inflammation, the prognosis regarding joint damage is believed to be different for anticitrullinated protein antibody (ACPA)-negative and ACPA-positive patients. Our objective was to show the difference in prognosis at similar disease activity levels, and to illustrate how this could be translated to differentiation of treatment targets.Methods.Data were used from the Nijmegen Early RA Cohort. The relation between the time-averaged disease activity level (by Dise

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MacDonald, Iona J., Chien-Chung Huang, Shan-Chi Liu, and Chih-Hsin Tang. "Reconsidering the Role of Melatonin in Rheumatoid Arthritis." International Journal of Molecular Sciences 21, no. 8 (2020): 2877. http://dx.doi.org/10.3390/ijms21082877.

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Rheumatoid arthritis (RA) is an inflammatory joint disorder characterized by synovial proliferation and inflammation, with eventual joint destruction if inadequately treated. Modern therapies approved for RA target the proinflammatory cytokines or Janus kinases that mediate the initiation and progression of the disease. However, these agents fail to benefit all patients with RA, and many lose therapeutic responsiveness over time. More effective or adjuvant treatments are needed. Melatonin has shown beneficial activity in several animal models and clinical trials of inflammatory autoimmune dise

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Yu, Xiaoying, Wenyaw Chan, Michael D. Swartz, and Linda B. Piller. "Joint models of dynamics of mothers’ stress and children’s disease." Communications in Statistics - Simulation and Computation 48, no. 9 (2018): 2775–90. http://dx.doi.org/10.1080/03610918.2018.1468455.

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Jaya, I. Gede Nyoman Mindra, Anna Chadidjah, Yudhie Andriyana, Gatot Riwi Setyanto, Enny Supartini, and Farah Kristiani. "Multiple endemic disease risk modeling using a Bayesian spatiotemporal shared components model." Decision Science Letters 12, no. 2 (2023): 389–98. http://dx.doi.org/10.5267/j.dsl.2022.12.005.

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Traditionally, endemic diseases such as dengue, diarrhea, and tuberculosis are modeled separately, which leads to a limited understanding of current disease dynamics and an inaccurate evaluation of the parameters of the different models. In this study, we propose a joint spatiotemporal model to predict the risks of multiple endemic diseases and identify hotspots. The model includes spatial shared component random effects and a covariate for healthy behavior. The model was applied to the joint modeling of dengue, diarrhea, and tuberculosis in thirty districts in Bandung, Indonesia over a five-y

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Wijesinghe, Susanne N., Mark A. Lindsay, and Simon W. Jones. "Oligonucleotide Therapies in the Treatment of Arthritis: A Narrative Review." Biomedicines 9, no. 8 (2021): 902. http://dx.doi.org/10.3390/biomedicines9080902.

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Osteoarthritis (OA) and rheumatoid arthritis (RA) are two of the most common chronic inflammatory joint diseases, for which there remains a great clinical need to develop safer and more efficacious pharmacological treatments. The pathology of both OA and RA involves multiple tissues within the joint, including the synovial joint lining and the bone, as well as the articular cartilage in OA. In this review, we discuss the potential for the development of oligonucleotide therapies for these disorders by examining the evidence that oligonucleotides can modulate the key cellular pathways that driv

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Peters, Abby E., Riaz Akhtar, Eithne J. Comerford, and Karl T. Bates. "Tissue material properties and computational modelling of the human tibiofemoral joint: a critical review." PeerJ 6 (January 25, 2018): e4298. http://dx.doi.org/10.7717/peerj.4298.

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Understanding how structural and functional alterations of individual tissues impact on whole-joint function is challenging, particularly in humans where direct invasive experimentation is difficult. Finite element (FE) computational models produce quantitative predictions of the mechanical and physiological behaviour of multiple tissues simultaneously, thereby providing a means to study changes that occur through healthy ageing and disease such as osteoarthritis (OA). As a result, significant research investment has been placed in developing such models of the human knee. Previous work has hi

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Zhang, Kevin, June Liu, Jilin Deng, et al. "Modeling human rheumatoid arthritis in NHP: Type II collagen induced arthritis in cynomolgus macaques (167.4)." Journal of Immunology 186, no. 1_Supplement (2011): 167.4. http://dx.doi.org/10.4049/jimmunol.186.supp.167.4.

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Abstract Collagen induced arthritis (CIA) rodent models have been extensively used in rheumatoid arthritis (RA) research. An RA model in non-human primate (NHP) is particularly demanded because of the close phylogenesis that provides the cross-reactivity to human for different development compounds using most modern drug technologies. However, NHP RA model has been reported extremely difficult because of the low and inconsistent disease incidence. We studied type II collagen induced arthritis in Cynomolgus monkeys. Following immunization with collagen, the disease progression was monitored for

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Nandakumar, Kutty Selva, Qinghua Fang, Isabella Wingbro Ågren, and Zoe Fuwen Bejmo. "Aberrant Activation of Immune and Non-Immune Cells Contributes to Joint Inflammation and Bone Degradation in Rheumatoid Arthritis." International Journal of Molecular Sciences 24, no. 21 (2023): 15883. http://dx.doi.org/10.3390/ijms242115883.

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Abnormal activation of multiple immune and non-immune cells and proinflammatory factors mediate the development of joint inflammation in genetically susceptible individuals. Although specific environmental factors like smoking and infections are associated with disease pathogenesis, until now, we did not know the autoantigens and arthritogenic factors that trigger the initiation of the clinical disease. Autoantibodies recognizing specific post-translationally modified and unmodified antigens are generated and in circulation before the onset of the joint disease, and could serve as diagnostic a

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Heckert, S., S. A. Bergstra, X. Matthijssen, et al. "POS0097 JOINT INFLAMMATION TENDS TO RECUR IN THE SAME JOINTS DURING THE RHEUMATOID ARTHRITIS DISEASE COURSE." Annals of the Rheumatic Diseases 80, Suppl 1 (2021): 259.1–259. http://dx.doi.org/10.1136/annrheumdis-2021-eular.280.

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Background:It is unknown whether in the disease course of rheumatoid arthritis (RA), inflammation recurs in the same joints over time or is more variable in joint locations. Joint involvement patterns over time might provide clues about the underlying mechanisms causing local joint inflammation.Objectives:The aim of this study is to assess if local joint inflammation at presentation of RA tends to recur or persist in the same joints.Methods:Data from the BeSt study were used, a treat-to-target (DAS≤2.4) trial in newly diagnosed RA (ACR 1987 criteria) patients. During 10 years, for each patient

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Heyland, M., D. Maikath, P. Damm, K. G. Hermann, and K. Ziegeler. "POS0304 IN-SILICO MODELLING OF THE SACROILIAC JOINTS DEMONSTRATES INFLUENCE OF JOINT FORM VARIATION ON MECHANICAL STRESS." Annals of the Rheumatic Diseases 82, Suppl 1 (2023): 395.1–395. http://dx.doi.org/10.1136/annrheumdis-2023-eular.3687.

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BackgroundRecent studies have uncovered an association between atypical joint form morphology and mechanical disease of the sacroiliac joints[1]and sclerosis in healthy controls[2]. A possible explanation for the effect is a change in load distribution in atypical joint forms and thus increased mechanical stress in affected patients.ObjectivesTo investigate the effect of joint morphology on joint stress, using finite element models (FEM).MethodsFE models were computed using dedicated software (Amira Software, Zuse Institute Berlin and Thermo Fisher Scientific, 2021), from CT scans of five pati

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Arbeev, Konstantin, Olivia Bagley, Arseniy Yashkin, et al. "Applications of Stochastic Process Models to Constructing Predictive Models of Alzheimer’s Disease." Innovation in Aging 4, Supplement_1 (2020): 263. http://dx.doi.org/10.1093/geroni/igaa057.844.

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Abstract Large-scale population-based data collecting repeated measures of biomarkers, follow-up data on events (incidence of diseases and mortality), and extensive genetic data provide excellent opportunities for applying statistical models for joint analyses of longitudinal dynamics of biomarkers and time-to-event outcomes that allow investigating dynamics of biomarkers and other relevant factors (including genetic) in relation to risks of diseases and death and how this may propagate to the future. Here we applied one such model, the stochastic process model (SPM), to data on longitudinal t

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Yang, Ming, Sheng Luo, and Stacia DeSantis. "Bayesian quantile regression joint models: Inference and dynamic predictions." Statistical Methods in Medical Research 28, no. 8 (2018): 2524–37. http://dx.doi.org/10.1177/0962280218784757.

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In the traditional joint models of a longitudinal and time-to-event outcome, a linear mixed model assuming normal random errors is used to model the longitudinal process. However, in many circumstances, the normality assumption is violated and the linear mixed model is not an appropriate sub-model in the joint models. In addition, as the linear mixed model models the conditional mean of the longitudinal outcome, it is not appropriate if clinical interest lies in making inference or prediction on median, lower, or upper ends of the longitudinal process. To this end, quantile regression provides

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Kim, Ji Soo, Ami A. Shah, Laura K. Hummers, and Scott L. Zeger. "Separated or joint models of repeated multivariate data to estimate individuals’ disease trajectories with application to scleroderma." PLOS One 20, no. 4 (2025): e0320414. https://doi.org/10.1371/journal.pone.0320414.

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Estimating a patient’s disease trajectory as defined by clinical measures is an essential task in medicine. Given multiple biomarkers, there is a practical choice of whether to estimate the joint distribution of all biomarkers in a single model or to model the univariate marginal distribution of each marker separately ignoring the covariance structure among measures. To fully utilize all trajectory-relevant information in multiple longitudinal markers, a joint model is required, but its complexity and computational burden may only be warranted when joint estimates of trajectories are substanti

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Scharfbillig, Rolf W., Sara Jones, and Sheila Scutter. "Sever’s Disease." Journal of the American Podiatric Medical Association 101, no. 2 (2011): 133–45. http://dx.doi.org/10.7547/1010133.

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Background: Sever’s disease, also known as calcaneal apophysitis, is thought to be an inflammation of the apophysis of the heel, which is open in childhood. This condition has been commented on and looked at in a retrospective manner but has not been examined systematically. We assembled the most commonly cited theoretical causative models identified from the literature and tested them to determine whether any were risk factors. Methods: Children with Sever’s disease were compared with a similarly aged nonsymptomatic population to determine whether identifiable risk factors exist for the onset

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Boissier, Marie-Christophe, and Natacha Bessis. "Do we need animal models to advance research on inflammatory joint disease?" Joint Bone Spine 84, no. 4 (2017): 381–83. http://dx.doi.org/10.1016/j.jbspin.2017.04.005.

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He, Yuchen, Zhong Li, Peter G. Alexander, et al. "Pathogenesis of Osteoarthritis: Risk Factors, Regulatory Pathways in Chondrocytes, and Experimental Models." Biology 9, no. 8 (2020): 194. http://dx.doi.org/10.3390/biology9080194.

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As the most common chronic degenerative joint disease, osteoarthritis (OA) is the leading cause of pain and physical disability, affecting millions of people worldwide. Mainly characterized by articular cartilage degradation, osteophyte formation, subchondral bone remodeling, and synovial inflammation, OA is a heterogeneous disease that impacts all component tissues of the articular joint organ. Pathological changes, and thus symptoms, vary from person to person, underscoring the critical need of personalized therapies. However, there has only been limited progress towards the prevention and t

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Rutter-Locher, Z., K. Chaabo, E. Chan, A. Vincent, S. Norton, and L. B. Kirkham. "POS0162 VALIDITY OF SIMPLIFIED ULTRASONOGRAPHIC ASSESSMENTS OF JOINT INFLAMMATION IN RHEUMATOID ARTHRITIS." Annals of the Rheumatic Diseases 82, Suppl 1 (2023): 303.2–304. http://dx.doi.org/10.1136/annrheumdis-2023-eular.2971.

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BackgroundMusculoskeletal ultrasound (MSK US) is a valuable tool to aid management of inflammatory arthritis. It’s use in clinical practice is limited by the feasibility and time constraints of performing a full 44 or 78 joint ultrasound.ObjectivesOur objective was to determine the validity of four previously published simplified approaches (6 joint[1], 12 joint[2], hands only[3]and data driven[4]US models) in a new patient cohort, in order to guide future choice of targeted MSK US protocol in research and clinical practice.MethodsSequential patients with rheumatoid arthritis, diagnosed accord

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Everett, Jordan, Ellen Gravallese, and Kimberlee S. Mix. "NR4A2 Expression Patterns in Mouse Models of Rheumatoid Arthritis." Journal of Student Research 4, no. 1 (2015): 136–43. http://dx.doi.org/10.47611/jsr.v4i1.213.

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Arthritis is a group of over 100 musculoskeletal disorders affecting approximately 50 million adults in the US. In an effort to develop new drugs to treat arthritis, we are exploring the function of the orphan nuclear receptor 4A2 (NR4A2), a transcription factor over-expressed in inflamed joints. The transcriptional targets of NR4A2 include angiogenesis factors and matrix metalloproteinases (MMPs). NR4A2 appears to have a deleterious effect in synoviocytes by promoting tissue degradation, while in chondrocytes it seems to have a protective function. Previous work on human synoviocytes has show

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GLADMAN, DAFNA D., BRIAN D. M. TOM, PHILIP J. MEASE, and VERNON T. FAREWELL. "Informing Response Criteria for Psoriatic Arthritis (PsA). II: Further Considerations and a Proposal — The PsA Joint Activity Index." Journal of Rheumatology 37, no. 12 (2010): 2559–65. http://dx.doi.org/10.3899/jrheum.100479.

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Objective.To develop a recommended measure of response for use in psoriatic arthritis (PsA) clinical trials and observational cohort studies reflecting joint involvement.Methods.Previously, we used data from phase III randomized placebo-controlled trials of anti-tumor necrosis factor (TNF) agents to determine models, based primarily on statistical considerations but with some clinical input when necessary, that best distinguish drug-treated from placebo-treated patients. For the same data, we examine response criteria currently used for PsA and logistic regression models based on the individua

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Kim, Seung-jae, Zhenlong Chen, Abdul B. Essani, et al. "Differential impact of obesity on the pathogenesis of RA or preclinical models is contingent on the disease status." Annals of the Rheumatic Diseases 76, no. 4 (2016): 731–39. http://dx.doi.org/10.1136/annrheumdis-2016-209206.

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ObjectiveStudies were performed to uncover the significance of obesity in rheumatoid arthritis (RA) and preclinical models.MethodsPreclinical arthritis models were used to examine the impact of obesity on disease onset and remission. Conditioned media from RA adipose tissues were used to investigate the mechanism contributing to joint neutrophil influx and M1 macrophage differentiation observed in early and remission phases of arthritis.ResultsWe report that mice fed with high fat diet (HFD) have an earlier onset of collagen-induced arthritis (CIA) compared with mice on regular diet. However,

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Lawson, Andrew, Anna Schritz, Luis Villarroel, and Gloria A. Aguayo. "Multi-Scale Multivariate Models for Small Area Health Survey Data: A Chilean Example." International Journal of Environmental Research and Public Health 17, no. 5 (2020): 1682. http://dx.doi.org/10.3390/ijerph17051682.

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Background: We propose a general approach to the analysis of multivariate health outcome data where geo-coding at different spatial scales is available. We propose multiscale joint models which address the links between individual outcomes and also allow for correlation between areas. The models are highly novel in that they exploit survey data to provide multiscale estimates of the prevalences in small areas for a range of disease outcomes. Results The models incorporate both disease specific, and common disease spatially structured components. The multiple scales envisaged is where individua

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Bull, Melanie Jane, Anwen Siân Williams, Zarabeth Mecklenburgh, et al. "The Death Receptor 3–TNF-like protein 1A pathway drives adverse bone pathology in inflammatory arthritis." Journal of Experimental Medicine 205, no. 11 (2008): 2457–64. http://dx.doi.org/10.1084/jem.20072378.

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Rheumatoid arthritis (RA) is a chronic inflammatory disease of synovial joints that is associated with cartilage and bone destruction. Death Receptor 3 (DR3), a tumor necrosis factor (TNF) receptor superfamily member, has recently been associated with the pathogenesis of RA. We demonstrate that absence of DR3 confers resistance to the development of adverse bone pathology in experimental antigen-induced arthritis (AIA). DR3ko mice exhibited a reduction in all histopathological hallmarks of AIA but, in particular, failed to develop subchondral bone erosions and were completely protected from th

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Dalbeth, Nicola, Opetaia Aati, Ramanamma Kalluru, et al. "Relationship between structural joint damage and urate deposition in gout: a plain radiography and dual-energy CT study." Annals of the Rheumatic Diseases 74, no. 6 (2014): 1030–36. http://dx.doi.org/10.1136/annrheumdis-2013-204273.

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ObjectivesThe aim of this work was to examine the relationship between joint damage and monosodium urate (MSU) crystal deposition in gout.MethodsPlain radiographs and dual-energy CT (DECT) scans of the feet were prospectively obtained from 92 people with tophaceous gout. Subcutaneous tophus count was recorded. The ten metatarsophalangeal joints were scored on plain radiography for Sharp–van der Heijde erosion and joint space narrowing (JSN) scores, and presence of spur, osteophyte, periosteal new bone and sclerosis (920 total joints). DECT scans were analysed for the presence of MSU crystal de

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Li, Kan, and Sheng Luo. "Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: An application to Alzheimer’s disease." Statistical Methods in Medical Research 28, no. 2 (2017): 327–42. http://dx.doi.org/10.1177/0962280217722177.

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In the study of Alzheimer’s disease, researchers often collect repeated measurements of clinical variables, event history, and functional data. If the health measurements deteriorate rapidly, patients may reach a level of cognitive impairment and are diagnosed as having dementia. An accurate prediction of the time to dementia based on the information collected is helpful for physicians to monitor patients’ disease progression and to make early informed medical decisions. In this article, we first propose a functional joint model to account for functional predictors in both longitudinal and sur

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Armero, Carmen, Anabel Forte, Hèctor Perpiñán, María José Sanahuja, and Silvia Agustí. "Bayesian joint modeling for assessing the progression of chronic kidney disease in children." Statistical Methods in Medical Research 27, no. 1 (2016): 298–311. http://dx.doi.org/10.1177/0962280216628560.

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Joint models are rich and flexible models for analyzing longitudinal data with nonignorable missing data mechanisms. This article proposes a Bayesian random-effects joint model to assess the evolution of a longitudinal process in terms of a linear mixed-effects model that accounts for heterogeneity between the subjects, serial correlation, and measurement error. Dropout is modeled in terms of a survival model with competing risks and left truncation. The model is applied to data coming from ReVaPIR, a project involving children with chronic kidney disease whose evolution is mainly assessed thr

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Fujii, Yuta, Hiroaki Inoue, Yuji Arai, et al. "Treadmill Running in Established Phase Arthritis Inhibits Joint Destruction in Rat Rheumatoid Arthritis Models." International Journal of Molecular Sciences 20, no. 20 (2019): 5100. http://dx.doi.org/10.3390/ijms20205100.

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Exercise therapy inhibits joint destruction by suppressing pro-inflammatory cytokines. The efficacy of pharmacotherapy for rheumatoid arthritis differs depending on the phase of the disease, but that of exercise therapy for each phase is unknown. We assessed the differences in the efficacy of treadmill running on rheumatoid arthritis at various phases, using rat rheumatoid arthritis models. Rats with collagen-induced arthritis were used as rheumatoid arthritis models, and the phase after immunization was divided as pre-arthritis and established phases. Histologically, the groups with forced tr

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Faustino, Célia, Lídia Pinheiro, and Noélia Duarte. "Triterpenes as Potential Drug Candidates for Rheumatoid Arthritis Treatment." Life 13, no. 7 (2023): 1514. http://dx.doi.org/10.3390/life13071514.

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Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease characterized by joint inflammation, swelling and pain. Although RA mainly affects the joints, the disease can also have systemic implications. The presence of autoantibodies, such as anti-cyclic citrullinated peptide antibodies and rheumatoid factors, is a hallmark of the disease. RA is a significant cause of disability worldwide associated with advancing age, genetic predisposition, infectious agents, obesity and smoking, among other risk factors. Currently, RA treatment depends on anti-inflammatory and disease-modifying

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D’Agostino, M. A., M. Boers, G. Schett, et al. "OP0294 REDUCED JOINT SYNOVITIS ASSESSMENT VERSUS THE GLOBAL EULAR OMERACT SYNOVITIS SCORE (GLOESS) TO PREDICT THE RESPONSE TO SECUKINUMAB IN PATIENTS WITH ACTIVE PSORIATIC ARTHRITIS AND INADEQUATE RESPONSE TO CONVENTIONAL DISEASE-MODIFYING ANTI-RHEUMATIC DRUGS: EXPLORATORY RESULTS FROM THE ULTIMATE TRIAL." Annals of the Rheumatic Diseases 81, Suppl 1 (2022): 195–96. http://dx.doi.org/10.1136/annrheumdis-2022-eular.561.

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BackgroundThe combined use of B-mode ultrasound (US) and Power Doppler (PD; combination termed as PDUS) allows visualisation of morphological and pathophysiological changes of the synovium. ULTIMATE (NCT02662985) was the first large, randomised, double-blind, placebo-controlled PDUS phase IIIb study in psoriatic arthritis (PsA), to demonstrate that Global OMERACT EULAR Synovitis Score (GLOESS), a US score at patient level, was sensitive to detect the early and continuous decrease in synovitis in a multicenter setting using different US devices and examiners.1 However, the US assessment for GLO

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Matisz, Chelsea E., Jason J. McDougall, Keith A. Sharkey, and Derek M. McKay. "Helminth Parasites and the Modulation of Joint Inflammation." Journal of Parasitology Research 2011 (2011): 1–8. http://dx.doi.org/10.1155/2011/942616.

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There is an urgent need to develop better therapeutics for autoimmune and autoinflammatory diseases, of which musculoskeletal disorders such as rheumatoid arthritis are particularly prevalent and debilitating. Helminth parasites are accomplished masters at modifying their hosts' immune activity, and so attention has focused on rodent-helminth model systems to uncover the workings of the mammalian immune response to metazoan parasites, with the hope of revealing molecules and/or mechanisms that can be translated into better treatments for human autoimmune and idiopathic disorders. Substantial p

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Barata, Carolina, Ana Maria Rodrigues, Helena Canhão, Susana Vinga, and Alexandra M. Carvalho. "Predicting Biologic Therapy Outcome of Patients With Spondyloarthritis: Joint Models for Longitudinal and Survival Analysis." JMIR Medical Informatics 9, no. 7 (2021): e26823. http://dx.doi.org/10.2196/26823.

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Background Rheumatic diseases are one of the most common chronic diseases worldwide. Among them, spondyloarthritis (SpA) is a group of highly debilitating diseases, with an early onset age, which significantly impacts patients’ quality of life, health care systems, and society in general. Recent treatment options consist of using biologic therapies, and establishing the most beneficial option according to the patients’ characteristics is a challenge that needs to be overcome. Meanwhile, the emerging availability of electronic medical records has made necessary the development of methods that c

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Lin, A. C., and B. A. Alman. "Modulating hedgehog and beta-catenin signaling in osteoarthritiss." Clinical & Investigative Medicine 30, no. 4 (2007): 86. http://dx.doi.org/10.25011/cim.v30i4.2862.

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Osteoarthritis (OA) is a common degenerative disease of the joints, characterized by cartilage deterioration and subchondral bone changes. Interestingly, these changes to the joint phenotype in OA are influenced by signalling pathways that are normal to limb development. For example, chondrocytes found in the articular cartilage of joints are under influence of beta-catenin signalling, chondrocytes of growth plate cartilage are regulated by hedgehog signalling, and bone formation involves both beta-catenin and hedgehog signalling. We hypothesize that modulating these signalling pathways in OA

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Sande, Nina Krafft, Vibke Lilleby, Anna-Birgitte Aga, Eva Kirkhus, Berit Flatø, and Pernille Bøyesen. "Associations between power Doppler ultrasound findings and B-mode synovitis and clinical arthritis in juvenile idiopathic arthritis using a standardised scanning approach and scoring system." RMD Open 9, no. 1 (2023): e002937. http://dx.doi.org/10.1136/rmdopen-2022-002937.

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ObjectivesTo describe power Doppler (PD) ultrasound findings in joint regions with B-mode (BM) synovitis using a standardised scanning protocol and scoring system in patients with juvenile idiopathic arthritis (JIA). Further, to examine associations between PD findings and BM synovitis, clinical arthritis, patient characteristics and disease activity.MethodsIn this cross-sectional study, one experienced ultrasonographer, blinded to clinical findings, performed ultrasound examinations in 27 JIA patients with suspected clinical arthritis. The elbow, wrist, metacarpophalangeal 2–3, proximal inter

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Morales-Ivorra, Isabel, Delia Taverner, Oriol Codina, et al. "External Validation of the Machine Learning-Based Thermographic Indices for Rheumatoid Arthritis: A Prospective Longitudinal Study." Diagnostics 14, no. 13 (2024): 1394. http://dx.doi.org/10.3390/diagnostics14131394.

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External validation is crucial in developing reliable machine learning models. This study aimed to validate three novel indices—Thermographic Joint Inflammation Score (ThermoJIS), Thermographic Disease Activity Index (ThermoDAI), and Thermographic Disease Activity Index-C-reactive protein (ThermoDAI-CRP)—based on hand thermography and machine learning to assess joint inflammation and disease activity in rheumatoid arthritis (RA) patients. A 12-week prospective observational study was conducted with 77 RA patients recruited from rheumatology departments of three hospitals. During routine care v

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Jorgensen, Christian, and Matthieu Simon. "In Vitro Human Joint Models Combining Advanced 3D Cell Culture and Cutting-Edge 3D Bioprinting Technologies." Cells 10, no. 3 (2021): 596. http://dx.doi.org/10.3390/cells10030596.

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Joint-on-a-chip is a new technology able to replicate the joint functions into microscale systems close to pathophysiological conditions. Recent advances in 3D printing techniques allow the precise control of the architecture of the cellular compartments (including chondrocytes, stromal cells, osteocytes and synoviocytes). These tools integrate fluid circulation, the delivery of growth factors, physical stimulation including oxygen level, external pressure, and mobility. All of these structures must be able to mimic the specific functions of the diarthrodial joint: mobility, biomechanical aspe

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Tékus, V., É. Borbély, T. Kiss, et al. "Investigation of Lake Hévíz Mineral Water Balneotherapy and Hévíz Mud Treatment in Murine Osteoarthritis and Rheumatoid Arthritis Models." Evidence-Based Complementary and Alternative Medicine 2018 (August 27, 2018): 1–15. http://dx.doi.org/10.1155/2018/4816905.

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Arthritic diseases are the most frequent causes of chronic pain and disability. Rheumatoid arthritis (RA) is an autoimmune disease characterized by synovial inflammation and progressive structural joint damage. Osteoarthritis is a degenerative process of the articular cartilage associated with hypertrophic changes in the bone. The aim of the present study was to investigate the anti-inflammatory and analgesic effects of Hévíz thermal water and mud in monosodium iodoacetate- (MIA-) (25 mg/ml, 20 μl i.a.) induced osteoarthritis and Complete Freund’s adjuvant- (CFA-) (1 mg/ml, 50–50 μl s.c) induc

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Rauber, S., H. Mohammadian, M. G. Raimondo, et al. "POS0040 SILENCING OF JOINT FIBROBLAST TO PROTECT FROM JOINT DAMAGE." Annals of the Rheumatic Diseases 82, Suppl 1 (2023): 229.2–229. http://dx.doi.org/10.1136/annrheumdis-2023-eular.6425.

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BackgroundDespite significant progress in the development of targeted biologic therapies for the treatment of chronic inflammatory joint diseases such as rheumatoid arthritis or psoriatic arthritis, more than 40% of patients still record gradual loss of joint function, mostly because of failure to archive complete remission. Herein, persistent joint fibroblast activity leads to continuous destruction of the joint, whereas its inhibition/silencing prevents joint damage despite presence of a residual inflammation[1]. Persistent activation of the joint fibroblasts leads to destruction of the join

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CHANG, XIAOLIN, and MING HUI CHEN. "Joint modeling of varying-disease-state longitudinal ordinal data and time-to-event data with application to alzheimer’s disease." Journal of Statistical Research 58, no. 1 (2024): 49–73. http://dx.doi.org/10.3329/jsr.v58i1.75413.

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Joint models are routinely used in clinical trials to fit longitudinal and survival data simulta- neously in an integrated fashion. We propose a joint model that incorporates state-specific trajectories for fitting the longitudinal ordinal response and time-to-event data, focusing on its application to Alzheimer’s Disease (AD). The proposed joint model effectively captures the fluctuating cognitive conditions observed before and after the transition between two disease states. By integrating longitudinal data into the survival sub-model through shared trajectories, we can improve the fit of th

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Haugen, Ida K., Vasan S. Ramachandran, Devyani Misra, et al. "Hand osteoarthritis in relation to mortality and incidence of cardiovascular disease: data from the Framingham Heart Study." Annals of the Rheumatic Diseases 74, no. 1 (2013): 74–81. http://dx.doi.org/10.1136/annrheumdis-2013-203789.

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ObjectivesTo study whether hand osteoarthritis (OA) is associated with increased mortality and cardiovascular events in a large community based cohort (Framingham Heart Study) in which OA, mortality and cardiovascular events have been carefully assessed.MethodsWe examined whether symptomatic (≥1 joint(s) with radiographic OA and pain in the same joint) and radiographic hand OA (≥1 joint(s) with radiographic OA without pain) were associated with mortality and incident cardiovascular events (coronary heart disease, congestive heart failure and/or atherothrombotic brain infarction) using Cox prop

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Hoyler, T., M. Bulle, J. Scherer, C. Wyss, S. Froidevaux, and M. Martinic. "POS1028 SUCCESSFUL TREATMENT OF MURINE RHEUMATOID ARTHRITIS MODELS WITH CENERIMOD, A SELECTIVE S1P1 RECEPTOR MODULATOR, HIGHLIGHTS THE BENEFIT OF S1P IMMUNOMODULATION IN RHEUMATIC DISEASES." Annals of the Rheumatic Diseases 82, Suppl 1 (2023): 831.3–831. http://dx.doi.org/10.1136/annrheumdis-2023-eular.879.

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BackgroundSince the discovery of the sphingosine-1-phosphate (S1P) pathway and its potentially beneficial role of inducing lymphocyte retention and subsequent immunomodulation [1], several small molecule S1P receptor modulators have been approved for the treatment of diverse autoimmune diseases such as multiple sclerosis and ulcerative colitis. Cenerimod, a selective S1P1receptor modulator, has shown efficacy in preclinical models of systemic lupus erythematosus (SLE), systemic sclerosis and Sjögren’s syndrome [2-4] and is now entering a Phase III clinical trial (OPUS;NCT05648500) in patients

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Ferede, Melkamu Molla, Samuel Mwalili, Getachew Dagne, et al. "A Semiparametric Bayesian Joint Modelling of Skewed Longitudinal and Competing Risks Failure Time Data: With Application to Chronic Kidney Disease." Mathematics 10, no. 24 (2022): 4816. http://dx.doi.org/10.3390/math10244816.

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In clinical and epidemiological studies, when the time-to-event(s) and the longitudinal outcomes are associated, modelling them separately may give biased estimates. A joint modelling approach is required to obtain unbiased results and to evaluate their association. In the joint model, a subject may be exposed to more than one type of failure event (competing risks). Considering the competing event as an independent censoring of the time-to-event process may underestimate the true survival probability and give biased results. Within the joint model, longitudinal outcomes may have nonlinear (ir

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