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Monitoring Treatment-Associated Receptor Expression in Multiple Sclerosis Using a Newly Developed Panel for Spectral

Katharina Robichon1,2, Jennifer Taylor3, Imogen Milner3

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Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|September 23, 2025
PubMed
Summary

Researchers developed a new flow cytometry panel to measure immune cell receptors in multiple sclerosis (MS). This tool may help predict treatment response by analyzing receptor levels before and during therapy.

Keywords:
full spectrum flow cytometryhuman immunophenotypingmultiple sclerosisreceptor expressionwhole blood

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Area of Science:

  • Immunology
  • Neurology
  • Autoimmune Diseases

Background:

  • Multiple sclerosis (MS) is a chronic autoimmune disease affecting the central nervous system.
  • Current treatments (disease-modifying therapies or DMTs) target specific immune cell populations.
  • Individual differences in receptor expression on these cells influence treatment efficacy.

Purpose of the Study:

  • To develop a comprehensive flow cytometry panel for evaluating treatment-associated receptor expression on immune cells in MS patients.
  • To assess the variability of these receptors in treatment-naïve MS individuals.
  • To explore the correlation between receptor expression and response to DMTs.

Main Methods:

  • Developed a 24-parameter flow cytometry immunophenotyping panel.
  • Analyzed whole blood samples from treatment-naïve individuals with MS.
  • Monitored receptor expression during the course of DMT treatment.

Main Results:

  • Demonstrated significant inter-individual variability in treatment-associated receptor expression.
  • Observed differing responses to DMTs among participants.
  • Found that elevated receptor expression at treatment initiation correlated with increased treatment response.

Conclusions:

  • The developed panel reliably detects and monitors key immune receptors in MS.
  • Treatment-associated receptor expression levels show potential as predictors of DMT response.
  • This tool facilitates deeper understanding of immune mechanisms in MS therapy.