multiple sclerosis

Collaboration between a human group and artificial intelligence can improve prediction of multiple sclerosis course. A proof-of-principle study

Background: Multiple sclerosis has an extremely variable natural course. In most patients, disease starts with a relapsing-remitting (RR) phase, which proceeds to a secondary progressive (SP) form. The duration of the RR phase is hard to predict, and to date predictions on the rate of disease progression remain suboptimal. This limits the opportunity to tailor therapy on an individual patient's prognosis, in spite of the choice of several therapeutic options.

Oxidative stress and antioxidants in neurological diseases: Is there still hope?

Oxidative stress is a pathological feature common to a multitude of neurological diseases. The production of reactive oxygen species (ROS) is the main mechanism underlying this cellular redox imbalance. Antioxidants protect biological targets against ROS, therefore, they have been considered as attractive potential therapeutic agents to counteract ROS-mediated neuronal damage.

CD28 Autonomous Signaling Up-Regulates C-Myc Expression and Promotes Glycolysis Enabling Inflammatory T Cell Responses in Multiple Sclerosis

The immunopathogenesis of multiple sclerosis (MS) depend on the expansion of specific inflammatory T cell subsets, which are key effectors of tissue damage and demyelination. Emerging studies evidence that a reprogramming of T cell metabolism may occur in MS, thus the identification of stimulatory molecules and associated signaling pathways coordinating the metabolic processes that amplify T cell inflammation in MS is pivotal.

T Helper Cells: The Modulators of Inflammation in Multiple Sclerosis

Multiple sclerosis (MS) is a chronic neurodegenerative disease characterized by the progressive loss of axonal myelin in several areas of the central nervous system (CNS) that is responsible for clinical symptoms such as muscle spasms, optic neuritis, and paralysis. The progress made in more than one decade of research in animal models of MS for clarifying the pathophysiology of MS disease validated the concept that MS is an autoimmune inflammatory disorder caused by the recruitment in the CNS of self-reactive lymphocytes, mainly CD4+ T cells.

Possible Correlation between Cholinergic System Alterations and Neuro/Inflammation in Multiple Sclerosis

Multiple sclerosis (MS) is an autoimmune and demyelinating disease of the central
nervous system. Although the etiology of MS is still unknown, both genetic and environmental
factors contribute to the pathogenesis of the disease. Acetylcholine participates in the modulation
of central and peripheral inflammation. The cells of the immune system, as well as microglia,
astrocytes and oligodendrocytes express cholinergic markers and receptors of muscarinic and

Cholinergic system and neuroinflammation: Implication in multiple sclerosis

Multiple sclerosis (MS) is an inflammatory and neurodegenerative disease of the central nervous system (CNS) characterized by leucocytes infiltration, demyelination, axonal degeneration and neuronal death. Although the etiology of MS is still unknown, inflammation and autoimmunity are considered to be key players of the disease. The severe alterations affecting the nervous system contribute to the motor and cognitive disabilities and are in large part dependent on severe inflammatory processes active in both central nervous system and immune system.

Fifteen years of wireless sensors for balance assessment in neurological disorders

Balance impairment is a major mechanism behind falling along with environmental hazards. Under physiological conditions, ageing leads to a progressive decline in balance control per se. Moreover, various neurological disorders further increase the risk of falls by deteriorating specific nervous system functions contributing to balance. Over the last 15 years, significant advancements in technology have provided wearable solutions for balance evaluation and the management of postural instability in patients with neurological disorders.

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