Literature DB >> 20471158

Genomics in multiple sclerosis.

Mario Habek1, Fran Borovecki, Vesna V Brinar.   

Abstract

Multiple sclerosis (MS) is chronic, inflammatory disease of the central nervous system that mainly affects young adults and is characterized with dissemination of demyelinating lesions in time and space. It is well known that MS is very heterogeneous disease, so biomarkers that would reliably determine disease course, outcome or treatment response in early stages of the disease (preferentially clinically isolated syndrome) are desperately needed. Genome-wide expression analysis represents the profile of all genes in a certain tissue or cell population in a certain time point. Therefore, as the sequence of the human genome is entirely known, it is possible to analyze any given human gene in any given context. This review will discuss results and possible applications of genome-wide expression studies in brain tissue and blood samples of MS patients.

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Year:  2010        PMID: 20471158     DOI: 10.1016/j.clineuro.2010.03.028

Source DB:  PubMed          Journal:  Clin Neurol Neurosurg        ISSN: 0303-8467            Impact factor:   1.876


  5 in total

1.  Genome-wide pathway analysis of a genome-wide association study on multiple sclerosis.

Authors:  Gwan Gyu Song; Sung Jae Choi; Jong Dae Ji; Young Ho Lee
Journal:  Mol Biol Rep       Date:  2012-12-14       Impact factor: 2.316

Review 2.  Genomic, proteomic, and systems biology approaches in biomarker discovery for multiple sclerosis.

Authors:  Carol Chase Huizar; Itay Raphael; Thomas G Forsthuber
Journal:  Cell Immunol       Date:  2020-09-20       Impact factor: 4.868

Review 3.  Gene expression profiling in multiple sclerosis brain.

Authors:  Ranjan Dutta; Bruce D Trapp
Journal:  Neurobiol Dis       Date:  2010-12-13       Impact factor: 5.996

Review 4.  Personalized medicine in neurodegenerative diseases: how far away?

Authors:  Kristina Gotovac; Sanja Hajnšek; Marija Bošnjak Pašić; Nela Pivac; Fran Borovečki
Journal:  Mol Diagn Ther       Date:  2014-02       Impact factor: 4.074

Review 5.  Contribution of Metabolomics to Multiple Sclerosis Diagnosis, Prognosis and Treatment.

Authors:  Marianna Gabriella Rispoli; Silvia Valentinuzzi; Giovanna De Luca; Piero Del Boccio; Luca Federici; Maria Di Ioia; Anna Digiovanni; Eleonora Agata Grasso; Valeria Pozzilli; Alessandro Villani; Antonio Maria Chiarelli; Marco Onofrj; Richard G Wise; Damiana Pieragostino; Valentina Tomassini
Journal:  Int J Mol Sci       Date:  2021-10-15       Impact factor: 5.923

  5 in total

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