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Chronic idiopathic axonal neuropathy: antibodies, genetics, and beyond
1Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Purpose Of Review:
Chronic idiopathic axonal neuropathy (CIAP) remains a diagnostic challenge, with many cases historically classified as idiopathic due to the absence of identifiable genetic, metabolic, or immune-mediated causes. This review examines recent advancements in understanding CIAP, focusing on novel genetic mutations, autoantibodies, and metabolic pathways that challenge the "idiopathic" designation. Specifically, we highlight sorbitol dehydrogenase (SORD) deficiency and replication factor C subunit 1 (RFC1) repeat expansions, and comment on the controversy surrounding autoantibody-associated small fiber neuropathy (SFN).
Recent Findings:
Biallelic SORD mutations have emerged as a leading cause of recessive axonal neuropathy, linked to sorbitol accumulation and neurotoxicity, with aldose reductase inhibitors (ARIs) being explored as a potential therapy. RFC1 intronic repeat expansions have been identified as a major genetic contributor to CANVAS and sensory neuropathies, reshaping diagnostic approaches for patients previously classified as idiopathic. Additionally, the identification of autoantibodies such as trisulfated heparin disaccharide (TS-HDS), fibroblast growth factor receptor 3 (FGFR-3), and Plexin D1 in SFN suggests an immune-mediated pathology in a subset of patients but a negative randomized trial of IVIG and lack of specificity of TS-HDS IgM antibody testing questions the relevance of these presumed autoantibodies.
Summary:
Advances in genetics, immunology, and metabolic neuropathies are redefining CIAP. The identification of SORD deficiency, RFC1 expansions, and autoantibody-associated SFN highlights the need for biomarker-driven approaches and targeted therapies. Future research should focus on expanding genetic screening, optimizing immunotherapy strategies, and investigating novel metabolic contributors to CIAP, ultimately moving toward precise, mechanism-based diagnoses.
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