JOURNAL ARTICLE

Peripherin is a biomarker of axonal damage in peripheral nervous system disease.

  • Published In: Brain: A Journal of Neurology, 2023, v. 146, n. 11. P. 4562 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Keddie, Stephen; Smyth, Duncan; Keh, Ryan Y S; Chou, Michael K L; Grant, Donna; Surana, Sunaina; Heslegrave, Amanda; Zetterberg, Henrik; Wieske, Luuk; Michael, Milou; Eftimov, Filip; Bellanti, Roberto; Rinaldi, Simon; Hart, Melanie S; Petzold, Axel; Lunn, Michael P 3 of 3

Abstract

This article focuses on the development and evaluation of serum peripherin as a novel, specific biomarker for peripheral nerve axonal damage. Peripherin, a type III intermediate filament protein predominantly expressed in peripheral nerve axons, was measured using a newly developed ultrasensitive single molecule array (Simoa) immunoassay. In clinical cohorts, serum peripherin levels were significantly elevated in patients with Guillain-Barré syndrome (GBS) compared to chronic inflammatory demyelinating polyradiculoneuropathy (CIDP), multiple sclerosis, dementia, and healthy controls, with peripherin showing greater specificity for peripheral nervous system injury than neurofilament light chain (NfL). Longitudinal analysis revealed that peripherin levels in GBS peaked earlier than NfL and correlated with disease activity, suggesting its potential utility in diagnosis and monitoring of acute peripheral neuropathies.

Additional Information

  • Source:Brain: A Journal of Neurology. 2023/11, Vol. 146, Issue 11, p4562
  • Document Type:Article
  • Subject Area:Anatomy and Physiology
  • Publication Date:2023
  • ISSN:0006-8950
  • DOI:10.1093/brain/awad234
  • Accession Number:173587497
  • Copyright Statement:Copyright of Brain: A Journal of Neurology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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