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Background: The presence of contrast enhancement (CE) on magnetic resonance imaging (MRI) is one of the principal criteria for diagnosis and disease activity of multiple sclerosis (MS). Therefore, MS patients are frequently exposed to contrast agents, which may cause deposition in the brain, restricting its use in repeat examinations. Thus, serum biomarkers may be valuable as surrogate parameters to evaluate MS activity. Methods: REDUCE‐GAD was a prospective, multicentric, biobanking study to determine whether established serum markers (neurofilament light chain [NfL], glial fibrillary acidic protein [GFAP], tau protein, ubiquitin‐carboxyl‐terminal‐hydrolase (UCH‐L1), S100B and matrix‐metalloproteinase 9 [MMP9]) are predictive of CE‐positive MRI lesions. Blood samples were obtained from patients undergoing MRI 5 days before or after collection. Results: Patients (N = 102) from four different centers with confirmed MS or related disorders were included; n = 57 (55.9%) showed CE on MRI versus n = 45 (44.1%) without CE. Only higher NfL values indicated CE (odds ratio [OR] 1.05; 95% CI 1.0–1.09) and were correlated with number (ρ = 0.47; p < 0.001) and diameter of CE lesions (ρ = 0.58; p < 0.001). Nfl Z‐scores improved diagnostic accuracy (OR 1.52; 95% CI 1.06–2.18). Receiver operator characteristic analysis revealed a reasonable cut‐off value for NfL at 14.1 pg/mL (sensitivity 49.1%; specificity 82.2%; positive predictive value 77.8%; negative predictive value 56.0%). NfL ≥59.2 pg/mL was exclusively observed in patients with CE. Conclusions: Evaluation of several possible serum biomarkers for CE in MS patients provided the most robust results for NfL, particularly as Z‐scores. Following further evaluation, biomarkers may help stratify the application of contrast agents for brain imaging in MS patients. [ABSTRACT FROM AUTHOR]

• Serum NfL and serum GFAP serve as adequate substitutes for CSF levels. • NfL showed more robust serum/CSF correlations compared to GFAP. • Serum and CSF NfL levels can differentiate between MS and somatoform diseases. • No significant correlation for UCHL1 and tTAU in serum and CSF was found. This study aimed to evaluate the utility of neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), ubiquitin C-terminal hydrolase L1 (UCHL1) and total tau (tTAU) serum concentrations as approximation for cerebrospinal fluid (CSF) concentrations of the respective biomarkers in the context of neuroinflammation and multiple sclerosis (MS). NfL, GFAP, UCHL1 and tTAU concentrations in serum and CSF were measured in 183 patients (122 with neuroinflammatory disease and 61 neurological or somatoform disease controls) using the single molecule array HD-1 analyzer (Quanterix, Boston, MA). Spearman's rank correlations were computed between serum and CSF concentrations. In a second step, the effects of age, BMI, gadolinium-enhancing lesions in MRI, integrity of the blood–brain barrier (BBB) and presence of acute relapse were accounted for by computing partial correlations. The analyses were repeated for a subsample consisting of MS phenotype patients only (n = 118). EDSS, MS disease activity and acute relapse were considered as additional covariates. Receiver operating characteristic (ROC) analysis was performed for each serum/CSF biomarker concentration to assess how well the particular biomarker concentration differentiates MS patients from somatoform disease controls. Correlations between serum and CSF levels as well as area under the curve (AUC) values were compared for the different biomarkers using z-test statistics. Serum concentrations correlated positively with CSF levels for NfL (r = 0.705, p < 0.01) as well as for GFAP (r = 0.259, p < 0.01). Correlation coefficients were significantly higher for NfL than for GFAP (z = 5.492, p < 0.01). We found no significant serum-CSF correlations for UCHL1 or tTAU. After adjusting for covariates, the results remained unchanged. In the analysis focusing only on MS patients, the results were replicated. ROC analysis demonstrated similarly acceptable performance of serum and CSF NfL values in differentiating MS phenotype patients from somatoform disease controls. AUC values were significantly higher for serum and CSF NfL compared to other biomarkers. NfL and GFAP but not UCHL1 or tTAU serum concentrations are associated with CSF levels of the respective biomarker. NfL exhibits more robust correlations between its serum and CSF concentrations as compared to GFAP independently from BBB integrity, clinical and radiological covariates. Both serum and CSF NfL values differentiate between MS and controls. [ABSTRACT FROM AUTHOR]

Background: The aim was to evaluate the diagnostic potential of serum neurofilament light chain (sNfL) measurements in patients with neuropsychiatric systemic lupus erythematosus (NPSLE). Methods: sNfL levels were determined by single molecule array assay in a retrospective cross-sectional cohort of 144 patients with systemic lupus erythematosus (SLE). After log-transformation of sNfL levels, mean sNfL levels were compared between NPSLE patients and SLE patients without neuropsychiatric disease using Student's t test. Furthermore, the association of different neuropsychiatric manifestations with sNfL levels was assessed using a one-way analysis of variance (ANOVA) with post hoc analysis. Associations of sNfL with clinical and laboratory parameters were assessed by correlation and multiple linear regression analysis. Results: NPSLE patients (n = 69) had significantly higher sNfL levels than SLE patients without neuropsychiatric disease manifestations (n = 75; mean difference: 0.13, 95% CI: 0.04–0.22, p = 0.006). With regard to the category of NPSLE manifestation, mean sNfL levels were only increased in NPSLE patients with focal central nervous system (CNS) involvement (n = 45; mean difference: 0.16, 95% CI: 0.02–0.30, p = 0.019), whereas mean sNfL levels of NPSLE patients with diffuse CNS and peripheral nervous system involvement did not differ from those of SLE patients without neuropsychiatric manifestations. Age and serum creatinine concentrations were identified as relevant contributors to sNfL levels. Conclusion: sNfL is a promising, easily accessible biomarker for neuropsychiatric involvement in SLE patients and might therefore complement the diagnostic workup of SLE patients with suspected involvement of the nervous system. [ABSTRACT FROM AUTHOR]

Background: Serum neurofilament light chain (sNfL) is a promising biomarker to complement the decision-making process in multiple sclerosis (MS) patients. However, although sNfL levels are able to detect disease activity and to predict future disability, the growing evidence has not yet been translated into practicable recommendations for an implementation into clinical routine. Methods: The observation of a patient with extensive inflammatory activity in magnetic resonance imaging (MRI) along with an extremely high sNfL level in the absence of any clinical symptoms prompted us to investigate common characteristics of our MS patients with the highest sNfL levels in a retrospective cohort study. The 97.5th percentile was chosen as a cut-off value because the mean sNfL level of the resulting extreme neurofilament light chain (NfL) cohort corresponded well to the sNfL level of the presented case. Patient characterization included clinical and MRI assessment with a focus on disease activity markers. sNfL levels were determined by single molecule array. Results: The 97.5th percentile of our MS cohort (958 sNfL measurements in 455 patients) corresponded to a threshold value of 46.1 pg/ml. The mean sNfL level of the extreme sNfL cohort (n = 24) was 95.6 pg/ml (standard deviation 68.4). Interestingly, only 15 patients suffered from a relapse at the time point of sample collection, whereas nine patients showed no signs of clinical disease activity. sNfL levels of patients with and without relapse did not differ [median 81.3 pg/ml (interquartile range [IQR] 48.0–128) versus 80.2 pg/ml (IQR 46.4–97.6), p = 0.815]. The proportion of patients with contrast-enhancing lesions was high and also did not differ between patients with and without relapse (92.9% versus 87.5%, p = 0.538); 78.9% of the patients not receiving a high-efficacious therapy had ongoing disease activity during a 2-year follow-up. Conclusion: Extremely high sNfL levels are indicative of subclinical disease activity and might complement treatment decisions in ambiguous cases. [ABSTRACT FROM AUTHOR]

• Even among MS patients considered mildly affected, most showed disease activity • Driven by MRI activity, loss of NEDA-3 was the most frequent marker of disease activity • PIRA occurred in 50% of patients and was often not accompanied by loss of NEDA-3 • MRI and clinical measurements often did not show disease activity simultaneously • Measuring different disease activity outcome measures could improve monitoring The current range of disease-modifying treatments (DMTs) for relapsing-remitting multiple sclerosis (RRMS) has placed more importance on the accurate monitoring of disease progression for timely and appropriate treatment decisions. With a rising number of measurements for disease progression, it is currently unclear how well these measurements or combinations of them can monitor more mildly affected RRMS patients. To investigate several composite measures for monitoring disease activity and their potential relation to the biomarker neurofilament light chain (NfL) in a clearly defined early RRMS patient cohort with a milder disease course. From a total of 301 RRMS patients, a subset of 46 patients being treated with a continuous first-line therapy was analyzed for loss of no evidence of disease activity (lo-NEDA-3) status, relapse-associated worsening (RAW) and progression independent of relapse activity (PIRA), up to seven years after treatment initialization. Kaplan-Meier estimates were used for time-to-event analysis. Additionally, a Cox regression model was used to analyze the effect of NfL levels on outcome measures in this cohort. In this mildly affected cohort, both lo-NEDA-3 and PIRA frequently occurred over a median observational period of 67.2 months and were observed in 39 (84.8%) and 23 (50.0%) patients, respectively. Additionally, 12 out of 26 PIRA manifestations (46.2%) were observed without a corresponding lo-NEDA-3 status. Jointly, either PIRA or lo-NEDA-3 showed disease activity in all patients followed-up for at least the median duration (67.2 months). NfL values demonstrated an association with the occurrence of relapses and RAW. The complementary use of different disease progression measures helps mirror ongoing disease activity in mildly affected early RRMS patients being treated with continuous first-line therapy. [ABSTRACT FROM AUTHOR]

• BDNF and NfL levels in CSF correlate inversely with cognition in newly diagnosed MS. • More severely impaired patients have higher BDNF/NfL CSF levels. • Combining BDNF and NfL measures results in higher correlations with cognition. • NfL and BDNF in CSF might reflect early levels of neural damage. • BDNF might be triggered as a compensatory mechanism in parallel to neural damage. Cognitive performance may be impaired in MS even at the earliest stages of disease. We tested whether brain-derived neurotrophic factor and neurofilament light chain levels in serum and cerebrospinal fluid (CSF) samples (sNfL/cNfL/sBDNF/cBDNF) collected at the time of diagnosis are associated with cognitive performance. We measured sNfL/cNfL/sBDNF/cBDNF using single-molecule array (Simoa) in 47 newly diagnosed patients (32 relapsing-remitting MS/6 primary progressive MS/9 clinically isolated syndrome). Partial correlations between average z-score on neuropsychological tests and sNfL/sBDNF/cNfL/cBDNF were computed after adjusting for covariates. Multivariate analysis of covariance determined the effect of cognitive status on biomarker levels. A composite measure of NfL and BDNF was submitted to similar exploratory analysis. Cognitive performance correlated inversely with cNfL (r=-0.451/q=0.032) and cBDNF (r=-0.406/q=0.034). Impairment in at least two different tests was linked to higher cNfL (p=0.011) and cBDNF (p=0.035) levels compared to impairment in only one test and for cNfL also compared to no impairment at all (p=0.01). Composite CSF biomarker measure accounting for both cNfL and cBDNF correlated more strongly with tests of information processing (p=0.048) and verbal learning/memory consolidation (p = 0.02) as compared to the single CSF biomarkers. CSF BDNF and NfL levels measured at the time of diagnosis are inversely associated with cognitive performance in MS. Our findings suggest that CSF biomarkers linked to different pathophysiological processes reflect neuropsychological impairment in the earliest stages of the disease. Combining different CSF measures might facilitate the developing of a better biomarker of cognition in MS. [ABSTRACT FROM AUTHOR]