Literature DB >> 19300960

Monitoring of multiple sclerosis immunotherapy: from single candidates to biomarker networks.

Robert H Goertsches1, Michael Hecker, Uwe K Zettl.   

Abstract

Applying microarray technology to identify new diagnostic and prognostic markers in peripheral blood cells (PBC) after therapeutic intervention opens great perspectives regarding patient subclassification. Three recombinant products of the pleiotropic agent interferon beta (rIFN-beta) are available for disease modifying therapy of relapsing remitting multiple sclerosis (RRMS), a complex inflammatory autoimmune disease that targets the central nervous system. They differ according to formulation, route of administration and dosage regimens. The currently, only partially understood mechanism of action of injected rIFN-beta into human organisms needs provision with accessory key molecules; in addition, the significance of established clinical IFN-beta response criteria that distinguish responding from non-responding patients remain unclear.With respect to these major questions, we discuss promising candidates on the gene transcription level, attained from scientific MS literature that included a longitudinal aspect. Reviewed studies were in part carried out with distinct gene interrogating platforms (GeneArrays; RT-PCR), settings (in vitro; ex vivo), and study designs (drug formulations and regimen; inclusion criteria and clinical endpoints), hampering meaningful meta-analysis. Nevertheless, PBC from therapy-naïve MS patients, rIFN-beta treated MS patients, and healthy controls served to characterize facets of both the disease and its treatment. Hence, the field of MS transcriptomics in immunomodulatory therapy is (by far) not adequately understood and should be embedded into systems biology disciplines, yielding multi-layer analyses that deliver timely identification of MS subjects who will profit from applied rIFN-beta therapy.

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Year:  2008        PMID: 19300960     DOI: 10.1007/s00415-008-6010-1

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  54 in total

1.  Microarray detection of E2F pathway activation and other targets in multiple sclerosis peripheral blood mononuclear cells.

Authors:  Antonio H Iglesias; Sandra Camelo; Daehee Hwang; Raul Villanueva; George Stephanopoulos; Fernando Dangond
Journal:  J Neuroimmunol       Date:  2004-05       Impact factor: 3.478

2.  Predictors of long-term clinical response to interferon beta therapy in relapsing multiple sclerosis.

Authors:  Valentina Tomassini; Andrea Paolillo; Pierluigi Russo; Elisabetta Giugni; Luca Prosperini; Claudio Gasperini; Guido Antonelli; Stefano Bastianello; Carlo Pozzilli
Journal:  J Neurol       Date:  2005-09-14       Impact factor: 4.849

3.  Identification of genes differentially regulated by interferon alpha, beta, or gamma using oligonucleotide arrays.

Authors:  S D Der; A Zhou; B R Williams; R H Silverman
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-22       Impact factor: 11.205

4.  Complex immunomodulatory effects of interferon-beta in multiple sclerosis include the upregulation of T helper 1-associated marker genes.

Authors:  K P Wandinger; C S Stürzebecher; B Bielekova; G Detore; A Rosenwald; L M Staudt; H F McFarland; R Martin
Journal:  Ann Neurol       Date:  2001-09       Impact factor: 10.422

5.  Interferon-beta directly influences monocyte infiltration into the central nervous system.

Authors:  Sarah Floris; Sigrid R Ruuls; Anne Wierinckx; Susanne M A van der Pol; Ed Döpp; Peter H van der Meide; Christine D Dijkstra; Helga E De Vries
Journal:  J Neuroimmunol       Date:  2002-06       Impact factor: 3.478

6.  Defining interferon beta response status in multiple sclerosis patients.

Authors:  Richard A Rudick; Jar-Chi Lee; Jack Simon; Richard M Ransohoff; Elizabeth Fisher
Journal:  Ann Neurol       Date:  2004-10       Impact factor: 10.422

7.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

Review 8.  The immunopathogenesis of multiple sclerosis.

Authors:  Elisabetta Prat; Roland Martin
Journal:  J Rehabil Res Dev       Date:  2002 Mar-Apr

9.  Gene expression changes in peripheral blood mononuclear cells from multiple sclerosis patients undergoing beta-interferon therapy.

Authors:  M K Singh; T F Scott; W A LaFramboise; F Z Hu; J C Post; G D Ehrlich
Journal:  J Neurol Sci       Date:  2007-04-30       Impact factor: 3.181

10.  Neutralizing antibodies to interferon beta-1b are not associated with disease worsening in multiple sclerosis.

Authors:  D S Goodin; B Hurwitz; A Noronha
Journal:  J Int Med Res       Date:  2007 Mar-Apr       Impact factor: 1.671

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  10 in total

1.  Integration of MicroRNA databases to study MicroRNAs associated with multiple sclerosis.

Authors:  Charlotte Angerstein; Michael Hecker; Brigitte Katrin Paap; Dirk Koczan; Madhan Thamilarasan; Hans-Jürgen Thiesen; Uwe Klaus Zettl
Journal:  Mol Neurobiol       Date:  2012-05-02       Impact factor: 5.590

2.  Integrative modeling of transcriptional regulation in response to antirheumatic therapy.

Authors:  Michael Hecker; Robert Hermann Goertsches; Robby Engelmann; Hans-Juergen Thiesen; Reinhard Guthke
Journal:  BMC Bioinformatics       Date:  2009-08-24       Impact factor: 3.169

3.  Gene network analysis of bone marrow mononuclear cells reveals activation of multiple kinase pathways in human systemic lupus erythematosus.

Authors:  Magdalene Nakou; George Bertsias; Ilias Stagakis; Michael Centola; Ioannis Tassiulas; Maria Hatziapostolou; Iraklis Kritikos; George Goulielmos; Dimitrios T Boumpas; Dimitrios Iliopoulos
Journal:  PLoS One       Date:  2010-10-14       Impact factor: 3.240

4.  Interferon-beta therapy in multiple sclerosis: the short-term and long-term effects on the patients' individual gene expression in peripheral blood.

Authors:  Michael Hecker; Christiane Hartmann; Ole Kandulski; Brigitte Katrin Paap; Dirk Koczan; Hans-Juergen Thiesen; Uwe Klaus Zettl
Journal:  Mol Neurobiol       Date:  2013-05-01       Impact factor: 5.590

5.  Elevated type I interferon-like activity in a subset of multiple sclerosis patients: molecular basis and clinical relevance.

Authors:  Alexander Hundeshagen; Michael Hecker; Brigitte Katrin Paap; Charlotte Angerstein; Ole Kandulski; Christian Fatum; Christiane Hartmann; Dirk Koczan; Hans-Juergen Thiesen; Uwe Klaus Zettl
Journal:  J Neuroinflammation       Date:  2012-06-22       Impact factor: 8.322

6.  Excessive biologic response to IFNβ is associated with poor treatment response in patients with multiple sclerosis.

Authors:  Richard A Rudick; M R Sandhya Rani; Yaomin Xu; Jar-Chi Lee; Jie Na; Jennifer Shrock; Anupama Josyula; Elizabeth Fisher; Richard M Ransohoff
Journal:  PLoS One       Date:  2011-05-13       Impact factor: 3.240

7.  Role of HDAC3 on p53 expression and apoptosis in T cells of patients with multiple sclerosis.

Authors:  Fanglin Zhang; Yaping Shi; Lily Wang; Subramaniam Sriram
Journal:  PLoS One       Date:  2011-02-08       Impact factor: 3.240

8.  Reassessment of blood gene expression markers for the prognosis of relapsing-remitting multiple sclerosis.

Authors:  Michael Hecker; Brigitte Katrin Paap; Robert Hermann Goertsches; Ole Kandulski; Christian Fatum; Dirk Koczan; Hans-Peter Hartung; Hans-Juergen Thiesen; Uwe Klaus Zettl
Journal:  PLoS One       Date:  2011-12-27       Impact factor: 3.240

9.  MicroRNA expression changes during interferon-beta treatment in the peripheral blood of multiple sclerosis patients.

Authors:  Michael Hecker; Madhan Thamilarasan; Dirk Koczan; Ina Schröder; Kristin Flechtner; Sherry Freiesleben; Georg Füllen; Hans-Jürgen Thiesen; Uwe Klaus Zettl
Journal:  Int J Mol Sci       Date:  2013-08-05       Impact factor: 5.923

10.  Glatiramer acetate treatment effects on gene expression in monocytes of multiple sclerosis patients.

Authors:  Madhan Thamilarasan; Michael Hecker; Robert Hermann Goertsches; Brigitte Katrin Paap; Ina Schröder; Dirk Koczan; Hans-Jürgen Thiesen; Uwe Klaus Zettl
Journal:  J Neuroinflammation       Date:  2013-10-17       Impact factor: 8.322

  10 in total

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