Identification of Monotonically Differentially Expressed Genes for IFN-β-Treated Multiple Sclerosis Patients.
Suyan TianLei ZhangPublished in: BioMed research international (2019)
Multiple sclerosis (MS) is a common neurological disability of the central nervous system. Immune-modulatory therapy with interferon-β (IFN-β) has been used as a first-line treatment to prevent relapses in MS patients. While the therapeutic mechanism of IFN-β has not been fully elucidated, the data of microarray experiments that collected longitudinal gene expression profiles to evaluate the long-term response of IFN-β treatment have been analyzed using statistical methods that were incapable of dealing with such data. In this study, the GeneRank method was applied to generate weighted gene expression values and the monotonically expressed genes (MEGs) for both IFN-β treatment responders and nonresponders were identified. The proposed procedure identified 13 MEGs for the responders and 2 MEGs for the nonresponders, most of which are biologically relevant to MS. Our work here provides some useful insight into the mechanism of IFN-β treatment for MS patients. A full understanding of the therapeutic mechanism will enable a more personalized treatment strategy possible.
Keyphrases
- multiple sclerosis
- end stage renal disease
- dendritic cells
- gene expression
- ejection fraction
- immune response
- newly diagnosed
- mass spectrometry
- chronic kidney disease
- ms ms
- genome wide
- prognostic factors
- peritoneal dialysis
- patient reported outcomes
- stem cells
- magnetic resonance
- minimally invasive
- dna methylation
- mesenchymal stem cells
- bone marrow
- replacement therapy
- patient reported
- blood brain barrier
- cerebrospinal fluid
- artificial intelligence
- cell therapy
- genome wide identification