Europe PMC

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

Expression of melanoma cell adhesion molecule-1 (MCAM-1) in natalizumab-treated multiple sclerosis.

Author information

Affiliations

  • 1. Danish Multiple Sclerosis Center, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
      Authors
    • Petersen ER 1
    • Ammitzbøll C 1
    • Søndergaard HB 1
    • Oturai AB 1
    • Sørensen PS 1
    • Börnsen L 1
    • von Essen M 1
    • Sellebjerg F 1
    (8 authors)
  • 2. Department of Clinical Immunology, Odense University Hospital, Odense, Denmark.
      Authors
    • Nilsson AC 2
    (1 author)

ORCIDs linked to this article

Journal of Neuroimmunology, 13 Oct 2019, 337:577085
https://doi.org/10.1016/j.jneuroim.2019.577085 PMID: 31655423 

Abstract 

The objectives were to study the expression of very late antigen (VLA)-4, melanoma cell adhesion molecule-1 (MCAM-1) and activated leukocyte cell adhesion molecule (ALCAM) on CD4+ T cells during natalizumab treatment and to investigate the association with disease activity. We find that subgroups of autoreactive T cells are retained in peripheral blood, in particular MOG-reactive CD4+ T cells expressing MCAM-1. The expression of MCAM-1 or ALCAM on CD4+ T cells was, however, not clearly associated with disease activity (clinical or MRI) during natalizumab treatment. We confirm upregulation of MCAM-1 on CD4+ T cells during natalizumab treatment while VLA-4 is downregulated.

Full text links 

Read article at publisher's site: https://doi.org/10.1016/j.jneuroim.2019.577085

Citations & impact 

Impact metrics

5
Citations
Jump to Citations

Citations of article over time

Alternative metrics

Altmetric item for https://www.altmetric.com/details/69419489
Altmetric
Discover the attention surrounding your research
https://www.altmetric.com/details/69419489

Smart citations by scite.ai
Smart citations by scite.ai include citation statements extracted from the full text of the citing article. The number of the statements may be higher than the number of citations provided by EuropePMC if one paper cites another multiple times or lower if scite has not yet processed some of the citing articles.
Explore citation contexts and check if this article has been supported or disputed.
https://scite.ai/reports/10.1016/j.jneuroim.2019.577085

Supporting
Mentioning
Contrasting
0
5
1

Article citations

Similar Articles 

To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation.

Funding 

Funders who supported this work.

A.P Møller Foundation

    Danish Multiple Sclerosis Society

      Foundation for Research in Neurology

        Johnsen Foundation