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Usage Information

Deciphering immune mechanisms in chronic inflammatory demyelinating polyneuropathies
Jolien Wolbert, Mandy I. Cheng, Gerd Meyer zu Horste, Maureen A. Su
Jolien Wolbert, Mandy I. Cheng, Gerd Meyer zu Horste, Maureen A. Su
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Review

Deciphering immune mechanisms in chronic inflammatory demyelinating polyneuropathies

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Abstract

Chronic inflammatory demyelinating polyneuropathy (CIDP) is an autoimmune disease of the peripheral nerves that presents with either chronic progression or relapsing disease. Recent studies in samples from patients with CIDP and mouse models have delineated how defects in central (thymic) and peripheral (extrathymic) immune tolerance mechanisms can cause PNS autoimmunity. Notably, nerve parenchymal cells actively contribute to local autoimmunity and also control disease outcome. Here, we outline how emerging technologies increasingly enable an integrated view of how immune cells and PNS parenchymal cells communicate in CIDP. We also relate the known heterogeneity of clinical presentation with specific underlying mechanisms. For example, a severe subtype of CIDP with tremor is associated with pathogenic IgG4 autoantibodies against nodal and paranodal proteins. An improved understanding of pathogenic mechanisms in CIDP will form the basis for more effective mechanism-based therapies.

Authors

Jolien Wolbert, Mandy I. Cheng, Gerd Meyer zu Horste, Maureen A. Su

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Usage data is cumulative from June 2025 through June 2026.

Usage JCI PMC
Text version 1,819 409
PDF 325 106
Figure 493 4
Citation downloads 228 0
Totals 2,865 519
Total Views 3,384
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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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