Annual Plasma Neurofilament Dynamics Is a Sensitive Biomarker of Disease Activity in Patients with Multiple Sclerosis

Author:

Fedičová Miriam1,Mikula Pavol2ORCID,Gdovinová Zuzana1,Vitková Marianna1,Žilka Norbert3,Hanes Jozef3ORCID,Frigová Lýdia4,Szilasiová Jarmila1ORCID

Affiliation:

1. Department of Neurology, Faculty of Medicine, Pavol Jozef Šafárik University, 040 11 Košice, Slovakia

2. Department of Social and Behavioural Medicine, Faculty of Medicine, Pavol Jozef Šafárik University, 040 11 Košice, Slovakia

3. Institute of Neuroimmunology, Slovak Academy of Science, 845 10 Bratislava, Slovakia

4. Magnetic Resonance Imaging, ProMagnet, 041 91 Košice, Slovakia

Abstract

Background and Objectives: Neurofilament light chain (NfL) is a sensitive biomarker of neuroaxonal damage. This study aimed to assess the relationship between the annual change in plasma NfL (pNfL) and disease activity in the past year, as defined by the concept no evidence of disease activity (NEDA) in a cohort of multiple sclerosis (MS) patients. Materials and Methods: Levels of pNfL (SIMOA) were examined in 141 MS patients and analyzed in relationship to the NEDA-3 status (absence of relapse, disability worsening, and MRI activity) and NEDA-4 (NEDA-3 extended by brain volume loss ≤ 0.4%) during the last 12 months. Patients were divided into two groups: annual pNfL change with an increase of less than 10% (group 1), and pNfL increases of more than 10% (group 2). Results: The mean age of the study participants (n = 141, 61% females) was 42.33 years (SD, 10.17), and the median disability score was 4.0 (3.5–5.0). The ROC analysis showed that a pNfL annual change ≥ 10% correlates with the absence of the NEDA-3 status (p < 0.001; AUC: 0.92), and the absence of the NEDA-4 status (p < 0.001; AUC: 0.839). Conclusions: Annual plasma NfL increases of more than 10% appear to be a useful tool for assessing disease activity in treated MS patients.

Funder

Scientific Grant Agency of the Ministry of Education of the Slovak Republic

Publisher

MDPI AG

Subject

General Medicine

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