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DOI 10.1186/s12917-017-1025-4

Медицинская библиотека · BMC veterinary research · 2017

Evaluation of antigen-induced synovitis in a porcine model: Immunological, arthroscopic and kinetic studies.

Vela Francisco-Javier, Sánchez-Margallo Francisco-Miguel, Blázquez Rebeca, Álvarez Verónica, Tarazona Raquel, Mangas-Ballester M Teresa, Cristo Alejandro, Casado Javier G

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Аннотация

BACKGROUND

Synovitis is an inflammation-related disease linked to rheumatoid arthritis, osteoarthritis, infections and trauma. This inflammation is accompanied by immune cells infiltration which initiates an inflammatory response causing pain, discomfort and affecting the normal joint function. The treatment of synovitis is based on the administration of anti-inflammatory drugs or biological agents such as platelet rich plasma and mesenchymal stem cells. However, the evaluation and validation of more effective therapies of synovitis requires the establishment of clinically relevant animal models.

RESULTS

In this study, Large White pigs were pre-immunized to evaluate an antigen-induced synovitis. The immune monitoring of synovial fluids in this model allowed us the identification of IL-12p40 and T cell subsets as immune biomarkers. Moreover, the evolution of synovitis was performed by arthroscopic procedures and kinetic analysis. In summary, this paper describes an animal model of antigen-induced synovitis to be used in the evaluation of anti-inflammatory therapies.

CONCLUSIONS

The novelty of this paper lies in the development of a clinically relevant model of synovitis which permits the simultaneous evaluation of synovitis from an immunological, surgical and kinetic point of view.

Для цитирования: Vela Francisco-Javier, Sánchez-Margallo Francisco-Miguel, Blázquez Rebeca, Álvarez Verónica, Tarazona Raquel, Mangas-Ballester M Teresa, Cristo Alejandro, Casado Javier G. Evaluation of antigen-induced synovitis in a porcine model: Immunological, arthroscopic and kinetic studies.. BMC veterinary research. 2017. DOI: 10.1186/s12917-017-1025-4.

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Обработка статьи · этапы, ошибки и управление
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