Amyotrophic lateral sclerosis (ALS, 'Lou Gehrig disease') is the most common, progressive, neurodegenerative, motor neuron disease, causing damage to upper and lower motor neurons, leading to paralysis and death within 3-5 years. Majority of ALS cases are sporadic ALS (SALS) and only 5-10 % of cases are familial ALS (FALS). Pathogenesis of ALS is complicated and still unclear, including genetic, glutamate excitotoxicity, oxidative stress, mitochondrial dysfunction, neurofilament accumulation, impaired trophic support, altered glial function, viral infection, immune imbalance and impairment of the blood-brain, blood-spinal cord and blood-cerebrospinal fluid barriers (BBB/BSCB/BCSFB). The CSF analysis is still one of the basic laboratory tools and might reflect pathophysiological alterations in the course of the disease and could provide an insight into disease pathomechanisms. The most important aim of its analysis is evaluation of blood-CSF barrier, which is altered in 46 % of ALS patients. The CSF biomarkers may give insight into ALS pathophysiology and may be useful for early, presymptomatic diagnosis, therapeutic monitoring and the development of new therapeutic strategies. This review summarizes the general concepts of biomarkers in CSF of ALS patients and their potential usefulness in further research.

Background: It is well known that the cerebrospinal fluid (CSF) concentrations of free light chains (FLC) and immunoglobulin G (IgG) are elevated in multiple sclerosis patients (MS). Therefore, in this study we aimed to develop a model based on the concentrations of free light chains and IgG to predict multiple sclerosis. We tried to evaluate the diagnostic usefulness of the novel κIgG index and λIgG index, here presented for the first time, and compare them with the κFLC index and the λFLC index in multiple sclerosis patients. Methods: CSF and serum samples were obtained from 76 subjects who underwent lumbar puncture for diagnostic purposes and, as a result, were divided into two groups: patients with multiple sclerosis (n = 34) and patients with other neurological disorders (control group; n = 42). The samples were analyzed using turbidimetry and isoelectric focusing. The κIgG index, λIgG index, κFLC index, and λFLC index were calculated using specific formulas. Results: The concentrations of CSF κFLC, CSF λFLC, and serum κFLC and the values of κFLC index, λFLC index, and κIgG index were significantly higher in patients with multiple sclerosis compared to controls. CSF κFLC concentration and the values of κFLC index, λFLC index, and κIgG index differed in patients depending on their pattern type of oligoclonal bands. κFLC concentration was significantly higher in patients with pattern type 2 and type 3 in comparison to those with pattern type 1 and type 4. The κFLC index, λFLC index, and κIgG index were significantly higher in patients with pattern type 2 in comparison to those with pattern type 4. The κFLC index and κIgG index were significantly higher in patients with pattern type 2 in comparison to those with pattern type 1, and in patients with pattern type 3 compared to those with pattern type 4. The κIgG index was markedly elevated in patients with pattern type 3 compared to those with pattern type 1. In the total study group, κFLC, λFLC, κFLC index, λFLC index, κIgG index, and λIgG index correlated with each other. The κIgG index showed the highest diagnostic power (area under the curve, AUC) in the detection of multiple sclerosis. The κFLC index and κIgG index showed the highest diagnostic sensitivity, and the κIgG index presented the highest ability to exclude multiple sclerosis. Conclusion: This study provides novel information about the diagnostic significance of four markers combined in the κIgG index. More investigations in larger study groups are needed to confirm that the κIgG index can reflect the intrathecal synthesis of immunoglobulins and may improve the diagnosis of multiple sclerosis.

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Aim of study. The aim of this study was to collect and analyse data on relapsing-remitting multiple sclerosis (RRMS) patients receiving disease-modifying therapies (DMTs) in Poland. Material and methods. This observational, multicentre study with prospective data collection included RRMS patients receiving DMTs reimbursed by the National Health Fund (NFZ) in Poland, monitored by the Therapeutic Programme Monitoring System (SMPT). Demographic profiles, disability status, and treatment modalities were analysed. Results. Data from 11,632 RRMS patients (from 15,368 new prescriptions) was collected including 10,649 patients in the first-line and 983 in the second-line therapeutic programme of DMTs. The proportion of females to males was 2.39 in the first-line and 1.91 in the second-line. The mean age at DMTs start was 36.6 years in the first-line and 35.1 in the second-line. The median time from the first symptoms to MS diagnosis was 7.4 months, and from MS diagnosis to treatment it was 18.48 months. A total of 43.4% of MS patients started DMT during the 12 months following diagnosis. There was a positive correlation between the duration from MS diagnosis to the start of DMT and a higher initial EDSS value [correlation 0.296 (p < 0.001)]. About 10% of patients stopped DMTs. In Poland, about one third of all MS patients are treated in both lines of therapeutic programmes, and the choice of first-line treatment depends on the region of the country. Conclusions. In Poland there is a need to increase MS patient access to DMTs by improving the organisation of therapeutic programmes.

213 www.journals.viamedica.pl/neurologia_neurochirurgia_polska Agata Czarnowska et al., SARS-CoV-2 infection in MS patients treated with disease-modifying therapies