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Immunophenotyping in routine clinical practice for predicting treatment response and adverse events in patients with MS.
Zrzavy, Tobias; Rieder, Kerstin; Wuketich, Viktoria; Thalhammer, Renate; Haslacher, Helmuth; Altmann, Patrick; Kornek, Barbara; Krajnc, Nik; Monschein, Tobias; Schmied, Christiane; Zebenholzer, Karin; Zulehner, Gudrun; Berger, Thomas; Rommer, Paulus; Leutmezer, Fritz; Bsteh, Gabriel.
Afiliação
  • Zrzavy T; Department of Neurology, Medical University of Vienna, Vienna, Austria.
  • Rieder K; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
  • Wuketich V; Department of Neurology, Medical University of Vienna, Vienna, Austria.
  • Thalhammer R; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
  • Haslacher H; Department of Neurology, Medical University of Vienna, Vienna, Austria.
  • Altmann P; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
  • Kornek B; Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
  • Krajnc N; Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
  • Monschein T; Department of Neurology, Medical University of Vienna, Vienna, Austria.
  • Schmied C; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
  • Zebenholzer K; Department of Neurology, Medical University of Vienna, Vienna, Austria.
  • Zulehner G; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
  • Berger T; Department of Neurology, Medical University of Vienna, Vienna, Austria.
  • Rommer P; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
  • Leutmezer F; Department of Neurology, Medical University of Vienna, Vienna, Austria.
  • Bsteh G; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
Front Neurol ; 15: 1388941, 2024.
Article em En | MEDLINE | ID: mdl-38689880
ABSTRACT

Background:

Recent studies proposed cellular immunoprofiling as a surrogate for predicting treatment response and/or stratifying the occurrence of adverse events (AEs) in persons with multiple sclerosis (pwMS). However, applicability in real-world circumstances is not sufficiently addressed.

Objective:

We aimed to explore whether standard routine clinical leukocyte phenotyping before treatment initiation could help stratify patients according to treatment response or AEs in a real-world MS cohort.

Methods:

In this retrospective study, 150 pwMS were included, who had been newly initiated on a disease-modifying drug (DMD) and had been assessed for standard immunophenotyping before DMD initiation (baseline) and at least once during the following year. Multivariate models were used to assess an association of immune subsets and the association between immune cell profiles regarding treatment response and AEs.

Results:

We found that the composition of T cell subsets was associated with relapse activity, as an increased proportion of CD8+ lymphocytes at baseline indicated a higher likelihood of subsequent relapse (about 9% per 1% increase in CD8+ proportion of all CD3+ cells). This was particularly driven by patients receiving anti-CD20 therapy, where also EDSS worsening was associated with a higher number of CD8+ cells at baseline (3% increase per 10 cells). In the overall cohort, an increase in the proportion of NK cells was associated with a higher risk of EDSS worsening (5% per 1% increase). Occurrence of AEs was associated with a higher percentage of T cells and a lower number of percentual NKT cells at baseline.

Conclusion:

Immune cell profiles are associated with treatment response and the occurrence of AEs in pwMS. Hence, immunophenotyping may serve as a valuable biomarker to enable individually tailored treatment strategies in pwMS.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article