Literature DB >> 24189284

Pharmacogenomics of interferon beta and glatiramer acetate response: a review of the literature.

Sunil Mahurkar1, Vijayaprakash Suppiah, Catherine O'Doherty.   

Abstract

Multiple sclerosis (MS) is one of the most common inflammatory and degenerative autoimmune diseases of the central nervous system with considerable heterogeneity in all aspects, including response to therapy. A number of disease modifying drugs, including traditional first line agents such as, interferon-beta (IFN-β) and glatiramer acetate (GA) are available for disease management. However, a considerable number of patients fail to achieve adequate response at therapeutic doses of IFN-β or GA. This variability in response to treatment has prompted the search for prognostic markers in order to personalize and optimize therapy so as to treat MS more efficiently. This review will summarize the existing literature examining the pharmacogenomics of IFN-β and GA response in MS patients.
© 2013.

Entities:  

Keywords:  APC; BBB; BDNF; CNS; DMD; EAE; EDSS; GA; GWAS; Genetics; Glatiramer acetate; HCV; HHV; HLA; IFN; IFN-β; ISG; ISRE; Interferon beta; MHC; MRI; MS; Multiple sclerosis; NAb; NR; NT; Pharmacogenomics; R; RRMS; Response; SNP; antigen-presenting cell; blood–brain barrier; brain-derived neurotrophic factor; central nervous system; disease modifying drug; expanded disability status scale; experimental autoimmune encephalomyelitis; genome wide association study; glatiramer acetate; hepatitis C virus; human herpes virus; human leukocyte antigen; interferon; interferon-beta; interferon-stimulated gene; interferon-stimulated response element; magnetic resonance imaging; major histocompatibility complex; multiple sclerosis; neurotrophin; neutralizing antibody; non-responder; relapsing-remitting multiple sclerosis; responder; single nucleotide polymorphism

Mesh:

Substances:

Year:  2013        PMID: 24189284     DOI: 10.1016/j.autrev.2013.10.012

Source DB:  PubMed          Journal:  Autoimmun Rev        ISSN: 1568-9972            Impact factor:   9.754


  15 in total

Review 1.  Gene Therapy for Autoimmune Disease.

Authors:  Shang-An Shu; Jinjun Wang; Mi-Hua Tao; Patrick S C Leung
Journal:  Clin Rev Allergy Immunol       Date:  2015-10       Impact factor: 8.667

2.  Pharmacogenetic study of long-term response to interferon-β treatment in multiple sclerosis.

Authors:  F Clarelli; G Liberatore; M Sorosina; A M Osiceanu; F Esposito; E Mascia; S Santoro; G Pavan; B Colombo; L Moiola; V Martinelli; G Comi; F Martinelli-Boneschi
Journal:  Pharmacogenomics J       Date:  2015-12-08       Impact factor: 3.550

3.  Enhanced in vivo efficacy of a type I interferon superagonist with extended plasma half-life in a mouse model of multiple sclerosis.

Authors:  Daniel Harari; Nadine Kuhn; Renne Abramovich; Keren Sasson; Alla L Zozulya; Paul Smith; Martin Schlapschy; Rina Aharoni; Mario Köster; Raya Eilam; Arne Skerra; Gideon Schreiber
Journal:  J Biol Chem       Date:  2014-09-05       Impact factor: 5.157

4.  The therapeutic potential of Rho kinase inhibitor fasudil derivative FaD-1 in experimental autoimmune encephalomyelitis.

Authors:  Yong-Fei Zhao; Xiang Zhang; Zhi-Bin Ding; Xing-Wang Yang; Hui Zhang; Jie-Zhong Yu; Yan-Hua Li; Chun-Yun Liu; Qing Zhang; Hong-Zhen Zhang; Cun-Gen Ma; Bao-Guo Xiao
Journal:  J Mol Neurosci       Date:  2014-09-16       Impact factor: 3.444

5.  Comparison of the effects of low dose interferon and high dose interferon on reduction of the number and size of plaques in patients with Multiple Sclerosis: A historical cohort.

Authors:  Payam Khomand; Ghobad Moradi; Behrooz Ahsan; Setareh Abtahi
Journal:  Iran J Neurol       Date:  2017-01-05

6.  In Silico Prediction Analysis of Idiotope-Driven T-B Cell Collaboration in Multiple Sclerosis.

Authors:  Rune A Høglund; Andreas Lossius; Jorunn N Johansen; Jane Homan; Jūratė Šaltytė Benth; Harlan Robins; Bjarne Bogen; Robert D Bremel; Trygve Holmøy
Journal:  Front Immunol       Date:  2017-10-02       Impact factor: 7.561

7.  Pharmacogenomic study in patients with multiple sclerosis: Responders and nonresponders to IFN-β.

Authors:  Marta F Bustamante; Carlos Morcillo-Suárez; Sunny Malhotra; Jordi Rio; Laura Leyva; Oscar Fernández; Uwe K Zettl; Joep Killestein; David Brassat; Juan Antonio García-Merino; Antonio J Sánchez; Elena Urcelay; Roberto Alvarez-Lafuente; Lusia M Villar; Jose Carlos Alvarez-Cermeño; Xavier Farré; Jeannette Lechner-Scott; Koen Vandenbroeck; Alfredo Rodríguez-Antigüedad; Jelena S Drulovic; Filippo Martinelli Boneschi; Andrew Chan; Jorge Oksenberg; Arcadi Navarro; Xavier Montalban; Manuel Comabella
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2015-09-24

8.  Transcriptional response to interferon beta-1a treatment in patients with secondary progressive multiple sclerosis.

Authors:  Michael Gurevich; Gadi Miron; Rina Zilkha Falb; David Magalashvili; Mark Dolev; Yael Stern; Anat Achiron
Journal:  BMC Neurol       Date:  2015-11-21       Impact factor: 2.474

9.  A pharmacogenetic signature of high response to Copaxone in late-phase clinical-trial cohorts of multiple sclerosis.

Authors:  Colin J Ross; Fadi Towfic; Jyoti Shankar; Daphna Laifenfeld; Mathis Thoma; Matthew Davis; Brian Weiner; Rebecca Kusko; Ben Zeskind; Volker Knappertz; Iris Grossman; Michael R Hayden
Journal:  Genome Med       Date:  2017-05-31       Impact factor: 11.117

10.  Efficacy of Cladribine Tablets in high disease activity subgroups of patients with relapsing multiple sclerosis: A post hoc analysis of the CLARITY study.

Authors:  Gavin Giovannoni; Per Soelberg Sorensen; Stuart Cook; Kottil W Rammohan; Peter Rieckmann; Giancarlo Comi; Fernando Dangond; Christine Hicking; Patrick Vermersch
Journal:  Mult Scler       Date:  2018-05-02       Impact factor: 6.312

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