Response to Fingolimod in Multiple Sclerosis Patients Is Associated with a Differential Transcriptomic Regulation.

Fingolimod is an immunomodulatory sphingosine-1-phosphate (S1P) analogue approved for the treatment of relapsing-remitting multiple sclerosis (RRMS). The identification of biomarkers of clinical responses to fingolimod is a major necessity in MS to identify optimal responders and avoid the risk of disease progression in non-responders. With this aim, we used RNA sequencing to study the transcriptomic changes induced by fingolimod in peripheral blood mononuclear cells of MS-treated patients and their association with clinical response. Samples were obtained from 10 RRMS patients (five responders and five non-responders) at baseline and at 12 months of fingolimod therapy. Fingolimod exerted a vast impact at the transcriptional level, identifying 7155 differentially expressed genes (DEGs) compared to baseline that affected the regulation of numerous signaling pathways. These DEGs were predominantly immune related, including genes associated with S1P metabolism, cytokines, lymphocyte trafficking, master transcription factors of lymphocyte functions and the NF-kB pathway. Responder and non-responder patients exhibited a differential transcriptomic regulation during treatment, with responders presenting a higher number of DEGs (6405) compared to non-responders (2653). The S1P, NF-kB and TCR signaling pathways were differentially modulated in responder and non-responder patients. These transcriptomic differences offer the potential of being exploited as biomarkers of a clinical response to fingolimod.

Dimethyl fumarate-related immune and transcriptional signature is associated with clinical response in multiple sclerosis-treated patients.

Background and objective: Dimethyl fumarate (DMF) is an immunomodulatory drug approved for the therapy of multiple sclerosis (MS). The identification of response biomarkers to DMF is a necessity in the clinical practice. With this aim, we studied the immunophenotypic and transcriptomic changes produced by DMF in peripheral blood mononuclear cells (PBMCs) and its association with clinical response. Material and methods: PBMCs were obtained from 22 RRMS patients at baseline and 12 months of DMF treatment. Lymphocyte and monocyte subsets, and gene expression were assessed by flow cytometry and next-generation RNA sequencing, respectively. Clinical response was evaluated using the composite measure "no evidence of disease activity" NEDA-3 or "evidence of disease activity" EDA-3 at 2 years, classifying patients into responders (n=15) or non-responders (n=7), respectively. Results: In the whole cohort, DMF produced a decrease in effector (TEM) and central (TCM) memory T cells in both the CD4+ and CD8+ compartments, followed by an increase in CD4+ naïve T cells. Responder patients presented a greater decrease in TEM lymphocytes. In addition, responder patients showed an increase in NK cells and were resistant to the decrease in the intermediate monocytes shown by non-responders. Responder patients also presented differences in 3 subpopulations (NK bright, NK dim and CD8 TCM) at baseline and 4 subpopulations (intermediate monocytes, regulatory T cells, CD4 TCM and CD4 TEMRA) at 12 months. DMF induced a mild transcriptional effect, with only 328 differentially expressed genes (DEGs) after 12 months of treatment. The overall effect was a downregulation of pro-inflammatory genes, chemokines, and activators of the NF-kB pathway. At baseline, no DEGs were found between responders and non-responders. During DMF treatment a differential transcriptomic response was observed, with responders presenting a higher number of DEGs (902 genes) compared to non-responders (189 genes). Conclusions: Responder patients to DMF exhibit differences in monocyte and lymphocyte subpopulations and a distinguishable transcriptomic response compared to non-responders that should be further studied for the validation of biomarkers of treatment response to DMF.

Information-Seeking Strategies of People with Multiple Sclerosis in Spain: The INFOSEEK-MS Study.

PURPOSE: Patients with multiple sclerosis (MS) are increasingly demanding access to reliable information regarding their disease. The objective of the INFOSEEK-MS study was to assess what are the strategies people with MS use when searching for information on their disease, including sources, frequency, reliability, and preferred content. PATIENTS AND METHODS: A non-interventional, cross-sectional study was conducted. Patients with a diagnosis of MS according to the 2010 McDonald criteria were included. The InfoSeek questionnaire was used to assess patients' strategies when seeking information about the disease. Clinical characteristics and other variables, including disability, quality of life, fatigue, cognition, anxiety and depression, were analysed using the Expanded Disability Status Scale (EDSS), Multiple Sclerosis Impact Scale (MSIS-29), 5-item Modified Fatigue Scale (MFIS-5), Symbol Digit Modalities Test (SDMT), and Hospital Anxiety and Depression Scale (HADS), respectively. RESULTS: Three hundred and two patients were studied (mean age: 42.3 ± 10 years, 64% female, mean disease duration: 9.6 ± 7.0 years, 90% with relapsing-remitting MS, and mean EDSS score: 2.6 ± 1.9). The internet (either via mobile or computer) is a frequently reported source of information. Lifestyle-related information (67.2%), research and emerging treatments (63.6%), symptom control (49.7%), sharing experiences with other patients (46.4%), and disease prognosis (46.4%) were the most searched topics. Neurologists and nurses were the most trusted source of information. Younger patients and higher SDMT scores were associated with all search resources (M = 37.7 and M = 49.97, respectively). The frequency of searches was related to the number of relapses (R2 = 0.07), EDSS (R2 = 0.14), MSIS-29 physical and psychological components (R2 = 0.132) and inversely with depression (R2 = 0.132). CONCLUSION: Although healthcare professionals are considered the most reliable source of information for people with MS, searching for information on the Internet is very frequent. An individualized information strategy considering the different factors involved is needed.

Assessing fatigue in multiple sclerosis: Psychometric properties of the five-item Modified Fatigue Impact Scale (MFIS-5).

Fatigue in multiple sclerosis is a key symptom associated with work-related problems and poor quality of life outcomes. The five-item Modified Fatigue Impact Scale is a brief self-assessment tool for measuring the impact of fatigue on cognitive, physical and psychosocial function. A non-interventional, cross-sectional study was conducted to assess dimensionality and item characteristics of the five-item Modified Fatigue Impact Scale in multiple sclerosis. A total of 302 subjects were studied. Mokken analysis found the five-item Modified Fatigue Impact Scale is a strong one-dimensional scale (overall scalability index H = 0.67) with high reliability (Cronbach's alpha = 0.90). The confirmatory factor analysis model confirmed the one-dimensional structure (comparative fit index = 1.0, root-mean-square error of approximation = 0.035). Samejima's model fitted well as an unconstrained model with different item difficulties. The five-item Modified Fatigue Impact Scale shows appropriate psychometric characteristics and may constitute a valuable and easy-to-implement addition to measure the impact of fatigue in clinical practice.