Multiple Sclerosis disease: a computational approach for investigating its drug interactions

  title={Multiple Sclerosis disease: a computational approach for investigating its drug interactions},
  author={Simone Pernice and Marco Beccuti and Greta Romano and Marzio Pennisi and Alessandro Maglione and Santina Cutrupi and Francesco Pappalardo and Lorenzo Capra and Giuliana Franceschinis and Massimiliano De Pierro and Gianfranco Balbo and Francesca Cordero and Raffaele Adolfo Calogero},
Multiple Sclerosis (MS) is a chronic and potentially highly disabling disease that can cause permanent damage and deterioration of the central nervous system. In Europe it is the leading cause of non-traumatic disabilities in young adults, since more than 700,000 EU people suffer from MS. Although recent studies on MS pathophysiology have been provided, MS remains a challenging disease. In this context, thanks to recent advances in software and hardware technologies, computational models and… 


A computational approach based on the colored Petri net formalism for studying multiple sclerosis
A new methodology for studying Relapsing Remitting Multiple Sclerosis is proposed and a model generated and calibrated according to this methodology is able to reproduce the expected behaviours.
Mechanisms of neuronal dysfunction and degeneration in multiple sclerosis
The etiology, mechanisms and progress made in determining the cause of axonal and neuronal loss in MS are discussed, with a focus on the sixth decade of the disease.
Immunology of Multiple Sclerosis.
MS-related factors such as localization of lesions, vulnerability of oligodendrocytes, neurons/axons, and secondary metabolic changes all play a role in the heterogeneous expression of the disease, including different pathologic lesion patterns, neuroimaging findings, disease courses, and severity and response to treatment.
Viruses and multiple sclerosis.
This work focuses on recent studies with human herpesvirus 6 and MS as how a common virus may be associated with this disorder in a subset of infected individuals.
The role of Epstein-Barr virus in multiple sclerosis: from molecular pathophysiology to in vivo imaging
Addressing the potential link between EBV and MS allows the better understanding of MS pathogenesis and helps to identify additional disease biomarkers that may be responsive to B-cell depleting intervention.
Daclizumab Therapy for Multiple Sclerosis.
  • B. Bielekova
  • Chemistry, Medicine
    Cold Spring Harbor perspectives in medicine
  • 2019
Daclizumab has complex immunomodulatory effects with resultant inhibition of central nervous system inflammation in MS and modulates the development of innate lymphoid cells, leading to expansion of immunoregulatory CD56bright natural killer cells.
A prospective clinical study of Epstein-Barr virus and host interactions during acute infectious mononucleosis.
Using a novel qEBV assay, it is demonstrated that young adults with primary EBV infection rapidly cleared virus from blood but not from the oropharynx, supporting the concept that infectious mononucleosis is most likely acquired by kissing.
Spatial distribution and density of oligodendrocytes in the cingulum bundle are unaltered in schizophrenia
No significant differences in the oligodendrocyte distribution or density in the cingulum bundle between the two groups are found, in contrast to earlier data from the prefrontal subcortical white matter.
Lymphopenia and risk of infection and infection-related death in 98,344 individuals from a prospective Danish population-based study
Lymphopenia was associated with increased risk of hospitalization with infection and increase risk of infection-related death in the general population and causality cannot be deduced from the data.
Selection of microbial biomarkers with genetic algorithm and principal component analysis
A prediction model that combines PCA and a genetic algorithm (GA) for identifying sets of bacterial species associated with obesity and metabolic syndrome (Mets) is developed and offers a new way to build prediction models that may improve the prediction accuracy.