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Broadening the Genetic Spectrum of Painful Small-Fiber Neuropathy through Whole-Exome Study in Early-Onset Cases.

Authors :
Misra K
Ślęczkowska M
Santoro S
Gerrits MM
Mascia E
Marchi M
Salvi E
Smeets HJM
Hoeijmakers JGJ
Martinelli Boneschi FG
Filippi M
Lauria Pinter G
Faber CG
Esposito F
Source :
International journal of molecular sciences [Int J Mol Sci] 2024 Jun 30; Vol. 25 (13). Date of Electronic Publication: 2024 Jun 30.
Publication Year :
2024

Abstract

Small-Fiber Neuropathy (SFN) is a disorder of the peripheral nervous system, characterised by neuropathic pain; approximately 11% of cases are linked to variants in Voltage-Gated Sodium Channels (VGSCs). This study aims to broaden the genetic knowledge on painful SFN by applying Whole-Exome Sequencing (WES) in Early-Onset (EO) cases. A total of 88 patients from Italy (n = 52) and the Netherlands (n = 36), with a disease onset at age ≤ 45 years old and a Pain Numerical Rating Score ≥ 4, were recruited. After variant filtering and classification, WES analysis identified 142 potentially causative variants in 93 genes; 8 are Pathogenic, 15 are Likely Pathogenic, and 119 are Variants of Uncertain Significance. Notably, an enrichment of variants in transient receptor potential genes was observed, suggesting their role in pain modulation alongside VGSCs. A pathway analysis performed by comparing EO cases with 40 Italian healthy controls found enriched mutated genes in the "Nicotinic acetylcholine receptor signaling pathway". Targeting this pathway with non-opioid drugs could offer novel therapeutic avenues for painful SFN. Additionally, with this study we demonstrated that employing a gene panel of reported mutated genes could serve as an initial screening tool for SFN in genetic studies, enhancing clinical diagnostics.

Details

Language :
English
ISSN :
1422-0067
Volume :
25
Issue :
13
Database :
MEDLINE
Journal :
International journal of molecular sciences
Publication Type :
Academic Journal
Accession number :
39000354
Full Text :
https://doi.org/10.3390/ijms25137248