scholarly journals Kinase inhibitors as an approach to autoimmune disease treatment

2013 ◽  
Vol 142 (2) ◽  
pp. 63-67
Author(s):  
Masamichi Inami
2012 ◽  
Vol 12 (4) ◽  
pp. 464-470 ◽  
Author(s):  
Apostolos Kontzias ◽  
Alexander Kotlyar ◽  
Arian Laurence ◽  
Paul Changelian ◽  
John J O'Shea

Author(s):  
Jan Bauer ◽  
Christian G. Bien

Rasmussen encephalitis (RE) is a rare epileptic disorder that is characterized by the presence of unihemispheric seizures coinciding with inflammation. The disease mostly presents in children. Clinically, patients often reach a residual stage with drug resistant seizures and severe neurological deficits. Pathologically, at this stage, the brain shows variable neuronal loss. The etiology is unknown but the infiltration of large numbers of CD8 positive T lymphocytes suggests that this is an autoimmune disease. Treatment consists of anti-inflammatory therapy (IVIG or tacrolimus), which, however, does not reduce the drug-resistant seizures. Therefore, hemisperectomy is the most effective treatment of RE.


Author(s):  
Harald Burkhardt ◽  
Joachim R Kalden

2020 ◽  
Author(s):  
Ayodeji Ajayi ◽  
Oluwadunsin Adebayo ◽  
Emmanuel Adebayo

Genomic-based information is an essential key to precise therapy referred to as personalized medicine. Its application in autoimmune disease treatment will bring the required breakthrough in medicine. Autoimmune diseases are the disease conditions where the body’s immune system recognizes and generate an immune response against self-antigens. There exist different approaches of which precision medicine data can be utilized in the clinical management of autoimmune diseases; this includes diagnosis, prognosis, stratification and treatment response prediction. Different markers exist to guide clinical decision while several others are still being identified and proposed. This chapter highlights data and databases in precision medicine of autoimmune diseases and the pathway for data sharing. The precision medicine of selected autoimmune diseases was discussed, and the different biomarkers utilized in the diagnosis, prognosis, stratification and response monitoring of such condition were considered.


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