Proteome Profiling of Experimental Autoimmune Encephalomyelitis Mouse Model and the Effect of a SUMO E1 Inhibitor

Multiple sclerosis (MS) is one of the most common neurodegenerative diseases, causing demyelination and inflammation in the central nervous system. The pathology of MS has been extensively studied using the experimental autoimmune encephalomyelitis (EAE) mouse model. However, the molecular mechanisms are still largely unclear and require further investigation. In this study, we carried out quantitative proteomic analysis of the brain and spinal cord tissues in mice induced with EAE using a data-independent acquisition strategy and identified 744 differentially regulated proteins in the brain and 741 in the spinal cord. The changed proteins were highly related with phagocytosis, lysosomal enzymes, inflammasome activation, complements, and synaptic loss processes. Moreover, gene set enrichment analysis revealed the elevation of the SUMOylation process in EAE with the increase of SUMOylation-related enzymes and modification targets. Furthermore, to test the possibility of treating MS by targeting SUMOylation, we explored the application of a selective SUMO E1 inhibitor, TAK-981. Intriguingly, TAK-981 suppressed the global SUMOylation level in the brain and significantly alleviated the symptoms of EAE in mice. Our findings contribute to a better understanding of MS pathology, reveal the important role of SUMOylation in disease progression, and demonstrate the potential of the SUMO E1 inhibitor as a novel treatment for MS.

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Publication Details

Journal
Journal of Proteome Research
Published
2024-11-21
DOI
https://doi.org/10.1021/acs.jproteome.4c00229
Citations
4
Primary Topic
Ubiquitin and proteasome pathways
Type
article
Field-Weighted Citation Impact
0.94

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article

Proteome Profiling of Experimental Autoimmune Encephalomyelitis Mouse Model and the Effect of a SUMO E1 Inhibitor

Na Jiang, Ruibing Chen, Yingdong Du, Linlin Yang et al.
4 citations
Journal of Proteome Research
Ubiquitin and proteasome pathways
0.94
article

Proteome Profiling of Experimental Autoimmune Encephalomyelitis Mouse Model and the Effect of a SUMO E1 Inhibitor

Na Jiang, Ruibing Chen, Yingdong Du, Linlin Yang, Xiaoxiao Wang, Hongyan Li, Yanting Zhou
article en
4 citations

Abstract

Multiple sclerosis (MS) is one of the most common neurodegenerative diseases, causing demyelination and inflammation in the central nervous system. The pathology of MS has been extensively studied using the experimental autoimmune encephalomyelitis (EAE) mouse model. However, the molecular mechanisms are still largely unclear and require further investigation. In this study, we carried out quantitative proteomic analysis of the brain and spinal cord tissues in mice induced with EAE using a data-independent acquisition strategy and identified 744 differentially regulated proteins in the brain and 741 in the spinal cord. The changed proteins were highly related with phagocytosis, lysosomal enzymes, inflammasome activation, complements, and synaptic loss processes. Moreover, gene set enrichment analysis revealed the elevation of the SUMOylation process in EAE with the increase of SUMOylation-related enzymes and modification targets. Furthermore, to test the possibility of treating MS by targeting SUMOylation, we explored the application of a selective SUMO E1 inhibitor, TAK-981. Intriguingly, TAK-981 suppressed the global SUMOylation level in the brain and significantly alleviated the symptoms of EAE in mice. Our findings contribute to a better understanding of MS pathology, reveal the important role of SUMOylation in disease progression, and demonstrate the potential of the SUMO E1 inhibitor as a novel treatment for MS.

Journal of Proteome ResearchVol. 23(12)
Tianjin University (CN), Capital Medical University (CN)
National Natural Science Foundation of China, Beijing Municipal Education Commission, Natural Science Foundation of Tianjin City, Beijing Municipal Natural Science Foundation, National Key Research and Development Program of China
Openalex Percentile: Top 25%
Ubiquitin and proteasome pathways
0.94
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