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

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.

Associations of optical coherence tomography with disability and brain MRI volumetry in patients with multiple sclerosis.

AIM OF THE STUDY: To investigate in a cross-sectional study the correlations of optical coherence tomography (OCT) with clinical and magnetic resonance imaging (MRI) parameters in multiple sclerosis (MS) patients. MATERIAL AND METHODS: OCT parameters include the peripapillary retinal nerve fibre layer (pRNFL) and ganglion cell complex (GCC). Brain magnetic resonance volumetry (T2- and T1- lesions volume, whole brain volume and grey matter volume) was evaluated using the Icobrain program. Clinical data was compared according to the history of optic neuritis (HON). Correlations were determined between OCT parameters and demographic (age, gender), clinical (disease duration, Expanded Disability Status Scale score [EDSS]), and MRI data. RESULTS: Out of 83 recruited people with MS, 27 had HON. The mean age of 75 patients with non-ON eyes was 42.08 ± 10.36 years, and 70.67% of the sample were females. Significant correlations were found between pRNFL and disability, along with several brain MRI-volumetry variables (Fluid-attenuated Inversion Recovery lesions volume [FLAIR]; T1-hypointense lesions volume; T1-lesions volume change; T1-volume lesions enlarging; whole brain volume; whole brain volume normative percentile; and volume of periventricular lesions). Multivariable linear regression analysis showed that age, pRNFL and GCC were significantly associated with T1-hypointense lesions volume change (the model explained 24% of the overall variance of the dependent variable). CONCLUSIONS: The pRFNL value correlates with disability and brain MRI-volumetric parameters in MS patients, serving as a useful neurodegeneration and inflammation surrogate marker.

Associations between neurofilament light chain levels, disease activity and brain atrophy in progressive multiple sclerosis.

BACKGROUND: Neurofilament light chain is a promising biomarker of disease activity and treatment response in relapsing-remitting multiple sclerosis (MS). Its role in progressive MS is less clear. AIM: The aim of the study was to assess the relationship between plasma neurofilament light chain (pNfL) and disease activity as defined by the concept NEDA-3 (No Evident Disease Activity), and brain volumetry, in a cohort of patients with the progressive disease form (PMS). METHODS: Levels of pNfL (SIMOA technology) were examined in 52 PMS patients and analysed in relationship to NEDA-3 status and annual brain volume loss (BVL) during the last 12 months. The statistical model was developed using logistic regression analysis, including demographic, clinical and magnetic resonance imaging (MRI) data as independent variables. Dependent variables were NEDA-3 status and BVL. RESULTS: The mean age of the study participants (n=52, 50% females) was 45.85 (SD, 9.82) and the median disability score was 5.0 (IQR: 5.0-5.5). ROC analysis showed that pNfL predicts NEDA-3 (the sensitivity and specificity of the model were 77.8% and 87.6%, respectively, P<0.001) and abnormal BVL (the sensitivity and specificity were 96.6% and 68.2%, respectively, P<0.001). CONCLUSIONS: The results show that pNfL levels are a useful biomarker of disease activity determined by NEDA-3 status, including brain MRI-volumetry, in patients with the progressive form of MS.

Plasma neurofilament light chain levels are predictors of disease activity in multiple sclerosis as measured by four-domain NEDA status, including brain volume loss.

BACKGROUND: The research is focused on sensitive biomarkers in multiple sclerosis (MS). OBJECTIVE: The aim of the study was to assess the relationship between plasma neurofilament light chain (pNfL) and disease activity as defined by the concept NEDA (no evident disease activity), including brain volumetry, in a cohort of MS patients treated with disease-modifying treatment (DMT). METHODS: Levels of pNfL (Single Molecule Array (SIMOA) technology) were examined in 95 RRMS (relapsing-remitting multiple sclerosis) patients and analyzed in relationship to NEDA-3 status and NEDA-BVL (brain volume loss; NEDA-3 extended by brain volumetry) during the last 12 months. The statistical model was developed using logistic regression analysis, including the independent variables: demographic, clinical, and magnetic resonance imaging (MRI) data. Dependent variables were NEDA-3 and NEDA-BVL status. RESULTS: The mean age of the study participants (n = 95, 62% females) was 37.85 years (standard deviation (SD) = 9.62) and the median disability score was 3.5 (2.5-4.1). Receiver operating characteristics (ROC) analysis showed that pNfL predicts NEDA-3 (the sensitivity and specificity of the model were 92% and 78%, respectively, p < 0.001) and NEDA-BVL status (the sensitivity and specificity were 80% and 65%, respectively, p < 0.001). CONCLUSION: The results show that pNfL levels are a useful biomarker of disease activity determined by NEDA-BVL status, including brain MRI-volumetry in patients with RRMS.