Sural nerve biopsy may predict future nerve dysfunction.

Soley Thrainsdottir, R A Malik, I Rosén, F Jakobsson, Ekaterine Bakhtadze, Jesper Petersson, Göran Sundkvist, L B Dahlin

Research output: Contribution to journalArticlepeer-review

Abstract

Thrainsdottir S, Malik RA, Rosén I, Jakobsson F, Bakhtadze E, Petersson J, Sundkvist G, Dahlin LB. Sural nerve biopsy may predict future nerve dysfunction. Acta Neurol Scand: DOI: 10.1111/j.1600-0404.2008.01118.x. (c) 2008 The Authors Journal compilation (c) 2008 Blackwell Munksgaard.Objective - Sural nerve pathology in peripheral neuropathy shows correlation with clinical findings and neurophysiological tests. The aim was to investigate progression of nerve dysfunction over time in relation to a baseline nerve biopsy. Methods - Baseline myelinated nerve fiber density (MNFD) was assessed in sural nerve biopsies from 10 men with type 2 diabetes, 10 with impaired and 10 with normal glucose tolerance. Nerve conduction and quantitative perception thresholds were estimated at baseline and follow-up (7-10 years later). Results - Subjects with low MNFD (</= 4700 fibers/mm(2)) showed decline of peroneal amplitude (P < 0.02) and conduction velocity (P < 0.04), as well as median nerve sensory amplitude (P < 0.05) and motor conduction velocity (P < 0.04) from baseline to follow-up. In linear regression analyses, diabetes influenced decline of nerve conduction. MNFD correlated negatively with body mass index (r = -0.469; P < 0.02). Conclusion - Low MNFD may predict progression of neurophysiological dysfunction and links obesity to myelinated nerve fiber loss.
Original languageEnglish
Pages (from-to)38-46
JournalActa Neurologica Scandinavica
Volume120
DOIs
Publication statusPublished - 2009

Bibliographical note

The information about affiliations in this record was updated in December 2015.
The record was previously connected to the following departments: Diabetes Epidemiology and Neuropathy (013241560), Diabetes and Endocrinology (013241530), Neurology, Malmö (013027010)

Subject classification (UKÄ)

  • Neurology

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