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Usage Information

Innate immunity mediated by TLR9 modulates pathogenicity in an animal model of multiple sclerosis
Marco Prinz, Folker Garbe, Hauke Schmidt, Alexander Mildner, Ilona Gutcher, Karina Wolter, Matthias Piesche, Roland Schroers, Elisabeth Weiss, Carsten J. Kirschning, Christian D.P. Rochford, Wolfgang Brück, Burkhard Becher
Marco Prinz, Folker Garbe, Hauke Schmidt, Alexander Mildner, Ilona Gutcher, Karina Wolter, Matthias Piesche, Roland Schroers, Elisabeth Weiss, Carsten J. Kirschning, Christian D.P. Rochford, Wolfgang Brück, Burkhard Becher
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Research Article Immunology

Innate immunity mediated by TLR9 modulates pathogenicity in an animal model of multiple sclerosis

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Abstract

Inflammatory diseases of the CNS, such as MS and its animal model EAE, are characterized by infiltration of activated lymphocytes and phagocytes into the CNS. Within the CNS, activation of resident cells initiates an inflammatory cascade, leading to tissue destruction, demyelination, and neurologic deficit. TLRs recognize microbes and are pivotal mediators of innate immunity. Within the CNS, augmented TLR expression during EAE is observed, even in the absence of any apparent microbial involvement. To determine the functional relevance of this phenomenon during sterile autoimmunity, we studied the role of different TLRs as well as their common signaling adaptor MyD88 in the development of EAE. We found that MyD88–/– mice were completely EAE resistant. Surprisingly, this protection is partly due to engagement of the CpG receptor TLR9. Restricting the MyD88 or TLR9 mutation to host radio-resistant cells, including the cells within the CNS, revealed that engagement of radio-resistant cells modulated the disease course and histopathological changes. Our data clearly demonstrate that both TLR9 and MyD88 are essential modulators of the autoimmune process during the effector phase of disease and suggest that endogenous “danger signals” modulate the disease pathogenesis.

Authors

Marco Prinz, Folker Garbe, Hauke Schmidt, Alexander Mildner, Ilona Gutcher, Karina Wolter, Matthias Piesche, Roland Schroers, Elisabeth Weiss, Carsten J. Kirschning, Christian D.P. Rochford, Wolfgang Brück, Burkhard Becher

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Usage data is cumulative from October 2025 through October 2026.

Usage JCI PMC
Text version 1,226 83
PDF 287 16
Figure 543 2
Table 334 0
Supplemental data 101 1
Citation downloads 236 0
Totals 2,727 102
Total Views 2,829
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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