Short-chain fatty acids in multiple sclerosis: Associated with disability, number of T2 lesions, and inflammatory profile.

Objective: An alteration in the composition of the intestinal microbiota has been observed in patients with multiple sclerosis (pwMS) with respect to healthy controls (HC). Microorganism-derived metabolites such as short-chain fatty acids (SCFA) have been suggested to play a role in the disease. Thus, to analyze the association of SCFA with clinical and radiological parameters of the disease and with those related to the inflammatory response of the immune system.

Teriflunomide and Epstein-Barr virus in a Spanish multiple sclerosis cohort: antiviral activity and clinical response.

Background: Epstein-Barr virus (EBV) and human herpesvirus 6 (HHV-6) have been associated with multiple sclerosis (MS). Teriflunomide is an oral disease-modifying therapy approved for treatment of relapsing forms of MS. In the preclinical Theiler's murine encephalitis virus model of MS, the drug demonstrated an increased rate of viral clearance versus the vehicle placebo.

Tolerability and safety of dimethyl fumarate in relapsing multiple sclerosis: a prospective observational multicenter study in a real-life Spanish population.

Background: Dimethyl fumarate (DMF) tolerability and safety in multiple sclerosis (MS) has been analyzed in randomized clinical trials. Real-life studies are needed to assess possible harms of this therapy in a wider MS population.

Objective: To evaluate DMF tolerability, safety and persistence in MS in a real-world setting.

Summarizing phenotype evolution patterns from report cases.

The need to represent and manage time is implicit in several reasoning processes in medicine. However, this is predominantly obvious in the field of many neurodegenerative disorders, which are characterized by insidious onsets, progressive courses and variable combinations of clinical manifestations in each patient. Therefore, the availability of tools providing high level descriptions of the evolution of phenotype manifestations from patient data is crucial to promote early disease recognition and optimize the diagnostic process.

Querying phenotype-genotype relationships on patient datasets using semantic web technology: the example of Cerebrotendinous xanthomatosis.

Background: Semantic Web technology can considerably catalyze translational genetics and genomics research in medicine, where the interchange of information between basic research and clinical levels becomes crucial. This exchange involves mapping abstract phenotype descriptions from research resources, such as knowledge databases and catalogs, to unstructured datasets produced through experimental methods and clinical practice. This is especially true for the construction of mutation databases.

Neurophysiological study in cerebrotendinous xanthomatosis.

Introduction: Cerebrotendinous xanthomatosis (CTX) is a rare autosomal-recessive disease due to mutations of the 27α-hydroxylase. It is characterized by cataracts, xanthomas, and neurological manifestations. Polyneuropathy has been reported, although it is unclear whether it is axonal or demyelinating.