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Omura S, Sato F, Martinez NE, Park AM, Fujita M, Kennett NJ, Cvek U, Minagar A, Alexander JS, Tsunoda I. Bioinformatics Analyses Determined the Distinct CNS and Peripheral Surrogate Biomarker Candidates Between Two Mouse Models for Progressive Multiple Sclerosis. Front Immunol 2019; 10:516. [PMID: 30941144 PMCID: PMC6434997 DOI: 10.3389/fimmu.2019.00516] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 02/26/2019] [Indexed: 02/05/2023] Open
Abstract
Previously, we have established two distinct progressive multiple sclerosis (MS) models by induction of experimental autoimmune encephalomyelitis (EAE) with myelin oligodendrocyte glycoprotein (MOG) in two mouse strains. A.SW mice develop ataxia with antibody deposition, but no T cell infiltration, in the central nervous system (CNS), while SJL/J mice develop paralysis with CNS T cell infiltration. In this study, we determined biomarkers contributing to the homogeneity and heterogeneity of two models. Using the CNS and spleen microarray transcriptome and cytokine data, we conducted computational analyses. We identified up-regulation of immune-related genes, including immunoglobulins, in the CNS of both models. Pro-inflammatory cytokines, interferon (IFN)-γ and interleukin (IL)-17, were associated with the disease progression in SJL/J mice, while the expression of both cytokines was detected only at the EAE onset in A.SW mice. Principal component analysis (PCA) of CNS transcriptome data demonstrated that down-regulation of prolactin may reflect disease progression. Pattern matching analysis of spleen transcriptome with CNS PCA identified 333 splenic surrogate markers, including Stfa2l1, which reflected the changes in the CNS. Among them, we found that two genes (PER1/MIR6883 and FKBP5) and one gene (SLC16A1/MCT1) were also significantly up-regulated and down-regulated, respectively, in human MS peripheral blood, using data mining.
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Affiliation(s)
- Seiichi Omura
- Department of Microbiology, Kindai University Faculty of Medicine, Osakasayama, Japan.,Department of Microbiology and Immunology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, United States
| | - Fumitaka Sato
- Department of Microbiology, Kindai University Faculty of Medicine, Osakasayama, Japan.,Department of Microbiology and Immunology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, United States
| | - Nicholas E Martinez
- Department of Microbiology and Immunology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, United States
| | - Ah-Mee Park
- Department of Microbiology, Kindai University Faculty of Medicine, Osakasayama, Japan
| | - Mitsugu Fujita
- Department of Microbiology, Kindai University Faculty of Medicine, Osakasayama, Japan
| | - Nikki J Kennett
- Department of Pathology, University of Utah, Salt Lake City, UT, United States
| | - Urška Cvek
- Department of Computer Science, Louisiana State University Shreveport, Shreveport, LA, United States
| | - Alireza Minagar
- Department of Neurology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, United States
| | - J Steven Alexander
- Department of Neurology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, United States.,Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, United States
| | - Ikuo Tsunoda
- Department of Microbiology, Kindai University Faculty of Medicine, Osakasayama, Japan.,Department of Microbiology and Immunology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, United States.,Department of Neurology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, United States
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