4.3 Article

Cessation of anti-VLA-4 therapy in a focal rat model of multiple sclerosis causes an increase in neuroinflammation

Journal

EJNMMI RESEARCH
Volume 9, Issue -, Pages -

Publisher

SPRINGEROPEN
DOI: 10.1186/s13550-019-0508-7

Keywords

Multiple sclerosis; Anti-VLA-4; EAE; Positron emission tomography; TSPO; [F-18]GE-180

Funding

  1. European Union [HEALTH-F2-2011-278850]
  2. BiogenIdec
  3. Turku University Foundation
  4. Finnish Brain Foundation
  5. Finnish MS Foundation
  6. Finnish Cultural Foundation
  7. Swedish Cultural Foundation in Finland

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BackgroundPositron emission tomography (PET) can be used for in vivo evaluation of the pathology associated with multiple sclerosis. We investigated the use of longitudinal PET imaging and the 18-kDa translocator protein (TSPO) binding radioligand [F-18]GE-180 to detect changes in a chronic multiple sclerosis-like focal delayed-type hypersensitivity experimental autoimmune encephalomyelitis (fDTH-EAE) rat model during and after anti-VLA-4 monoclonal antibody (mAb) treatment. Thirty days after lesion activation, fDTH-EAE rats were treated with the anti-VLA-4 mAb (n=4) or a control mAb (n=4; 5mg/kg, every third day, subcutaneously) for 31days. Animals were imaged with [F-18]GE-180 on days 30, 44, 65, 86 and 142. Another group of animals (n=4) was used for visualisation the microglia with Iba-1 at day 44 after a 2-week treatment period.ResultsAfter a 2-week treatment period on day 44, there was a declining trend (p=0.067) in [F-18]GE-180-binding in the anti-VLA-4 mAb-treated animals versus controls. However, cessation of treatment for 4days after a 31-day treatment period increased [F-18]GE-180 binding in animals treated with anti-VLA-4 mAb compared to the control group (p=0.0003). There was no difference between the groups in TSPO binding by day 142.ConclusionsThese results demonstrated that cessation of anti-VLA-4 mAb treatment for 4days caused a transient rebound increase in neuroinflammation. This highlights the usefulness of serial TSPO imaging in the fDTH-EAE model to better understand the rebound phenomenon.

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