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Toll-Like Receptor 4 Promotes Th17 Lymphocyte Infiltration Via CCL25/CCR9 in Pathogenesis of Experimental Autoimmune Encephalomyelitis

  • Ying Zhang
    ,
  • Jingjing Han
    ,
  • Meili Wu
    ,
  • Lu Xu
    ,
  • Yu Wang
    ,
  • Wen Yuan
*Corresponding author for this work
  • Xuzhou Medical University
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

Toll-like receptor 4 (TLR4) is a key component in innate immunity and has been linked to central nervous system (CNS) inflammation diseases, such as multiple sclerosis (MS), an inflammatory disorder induced by autoreactive Th17 cells. In our study, we found that TLR4 deficient (TLR4−/−) mice were inadequate to induce experimental autoimmune encephalomyelitis (EAE), characterized by low clinic score and weight loss, alleviative demyelinating, as well as decreased inflammatory cell infiltration in the spinal cord. In the lesion area of EAE mice, loss of TLR4 down-regulated the secretion of inflammatory cytokines and chemokine CCL25. Furthermore, the expression of CCR9 was decreased and chemotactic migration was attenuated in TLR4−/− Th17 cells. Our results demonstrate that TLR4 may mediate Th17 infiltration through CCL25/CCR9 signal during pathogenesis of EAE. [Figure not available: see fulltext.].

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 493-502 (10 pages)

Journal (Volume, Issue Number)

Journal of NeuroImmune Pharmacology (Volume 14, Issue 3)

Publication milestones

  • Published - 09/15/2019

Publication status

Published - 09/15/2019

ISSN

1557-1890

Publication IDs

  • Scopus: 85065540618
  • PubMed: 31065973

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Funding Details

This study was supported by the National Natural Science Foundation of China (No. 81771337, 81271345), the National Key R&D Program of China (2017YFA0104202), the Natural Science Foundation of Jiangsu Province (No. BK20161174), Six Talent Peaks Project in Jiangsu Province (2015 to RY), the Project of Xuzhou Science and Technology (No. KC16SH076). Acknowledgments This study was supported by the National Natural Science Foundation of China (No. 81771337, 81271345), the National Key R&D Program of China (2017YFA0104202), the Natural Science Foundation of Jiangsu Province (No. BK20161174), Six Talent Peaks Project in Jiangsu Province (2015 to RY), the Project of Xuzhou Science and Technology (No. KC16SH076).
FundersFunding numbers
National Key R&D Program of China
2017YFA0104202
Project of Xuzhou Science and Technology
KC16SH076
NSFC
81271345, 81771337
Natural Science Foundation of Jiangsu Province
BK20161174
Six Talent Peaks Project in Jiangsu Province
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