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Ultrasound and Doppler micro-imaging in a model of rheumatoid arthritis in mice
  1. G Clavel1,2,3,
  2. C Marchiol-Fournigault4,5,6,7,
  3. G Renault4,5,6,7,
  4. M-C Boissier1,2,8,
  5. D Fradelizi4,5,6,7,
  6. N Bessis1,2,8
  1. 1
    INSERM, Eri-18, F-93017, Bobigny, France
  2. 2
    Université Paris 13, F-93017, Bobigny, France
  3. 3
    Department of Rheumatology, CHU Nord Amiens, Amiens, France
  4. 4
    Institut Cochin, Plate-forme d’imagerie du petit animal, 27, rue du faubourg-Saint-Jacques, Paris
  5. 5
    INSERM, U567, Paris
  6. 6
    CNRS, UMR 8104, Paris
  7. 7
    Université Paris 5, Faculté de médecine René Descartes, UM 3, Paris
  8. 8
    AP-HP, Department of Rheumatology, Avicenne Hospital, Bobigny, France
  1. Natacha Bessis, INSERM ERI-18, Université Paris 13, 74 rue Marcel Cachin, 93017 Bobigny cedex, France; natacha.bessis{at}univ-paris13.fr

Abstract

Objectives: The evaluation of joints in arthritis using conventional ultrasonography is not really feasible in mice because of the small size of the animal. However, compared with classical analysis (clinical and histological examination) it is a non-invasive method that allows follow-up of the same animal throughout the whole experiment. Moreover, power Doppler allows the study of blood flow that reflects inflammatory activity within the synovium of arthritic joints. Our aim was to determine whether ultrasonography analysis could accurately detect arthritis lesions in a mouse model of rheumatoid arthritis, namely collagen-induced arthritis.

Methods: Collagen-induced arthritis was induced in 28 mice by immunising with collagen type II. Every week for 8 weeks, ultrasonography and Doppler analysis were performed on knees and ankles of all mice using the ultrasound biomicroscope (UBM), which is particularly dedicated to studying the mouse. Clinical and histological evaluations were performed as usual.

Results: We established a semiquantitative analysis by setting an UBM scoring. UBM grades were correlated to clinical and histological scores of arthritis. Vascularisation within the synovium could be estimated by power Doppler analysis and a semiquantitative vascularisation scale was established, which allowed us to show a good correlation between vascularisation scores and histological or clinical scores of arthritis.

Conclusions: This is one of the first studies that shows it is possible to visualise a selected set of joints in a small animal using UBM analysis. It provides new perspectives in evaluating experimental models of rheumatoid arthritis and other joint diseases.

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Footnotes

  • Competing interests: None.

  • Funding: The ERI18 program is funded by Institut National de la Santé et de la Recherche Médicale.

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