Literature DB >> 21695760

Small fibre neuropathy: role in the diagnosis of diabetic sensorimotor polyneuropathy.

R A Malik1, A Veves, S Tesfaye, G Smith, N Cameron, D Zochodne, G Lauria.   

Abstract

Small fibres constitute 70-90% of peripheral nerve fibres and regulate several key functions such as tissue blood flow, temperature and pain perception as well as sweating, all of which are highly relevant to the clinical presentation and adverse outcomes associated with foot ulcerations in patients with diabetes. Recent studies demonstrated significant abnormalities in the small fibres in subjects with impaired glucose tolerance and diabetes, despite normal electrophysiology, suggesting that the earliest nerve fibre damage is to the small fibres. Unfortunately, guidelines and consensus statements focus on large fibres and continue to advocate electrophysiology as a diagnostic modality and as a primary end point for the assessment of therapeutic benefit. (In part, this reflects the difficulties in quantifying small fibre dysfunction and damage.) We have therefore critically assessed currently available techniques that measure small fibre dysfunction in diabetic neuropathy, using quantitative sensory and sudomotor testing. We have assessed the role of identifying structural damage by quantifying intraepidermal nerve fibre density in skin biopsies and corneal nerve morphology using corneal confocal microscopy. Finally, we propose a definition for diabetic neuropathy that incorporates small fibre damage.
Copyright © 2011 John Wiley & Sons, Ltd.

Entities:  

Keywords:  biopsy; diabetic neuropathy; diagnosis; small fibres

Mesh:

Year:  2011        PMID: 21695760     DOI: 10.1002/dmrr.1222

Source DB:  PubMed          Journal:  Diabetes Metab Res Rev        ISSN: 1520-7552            Impact factor:   4.876


  47 in total

Review 1.  Small-fibre neuropathies--advances in diagnosis, pathophysiology and management.

Authors:  Janneke G Hoeijmakers; Catharina G Faber; Giuseppe Lauria; Ingemar S Merkies; Stephen G Waxman
Journal:  Nat Rev Neurol       Date:  2012-05-29       Impact factor: 42.937

2.  Small nerve fiber quantification in the diagnosis of diabetic sensorimotor polyneuropathy: comparing corneal confocal microscopy with intraepidermal nerve fiber density.

Authors:  Xin Chen; Jim Graham; Mohammad A Dabbah; Ioannis N Petropoulos; Georgios Ponirakis; Omar Asghar; Uazman Alam; Andrew Marshall; Hassan Fadavi; Maryam Ferdousi; Shazli Azmi; Mitra Tavakoli; Nathan Efron; Maria Jeziorska; Rayaz A Malik
Journal:  Diabetes Care       Date:  2015-03-20       Impact factor: 19.112

Review 3.  Diabetic peripheral neuropathy: should a chaperone accompany our therapeutic approach?

Authors:  Kevin L Farmer; Chengyuan Li; Rick T Dobrowsky
Journal:  Pharmacol Rev       Date:  2012-08-10       Impact factor: 25.468

4.  Selective antagonism of muscarinic receptors is neuroprotective in peripheral neuropathy.

Authors:  Nigel A Calcutt; Darrell R Smith; Katie Frizzi; Mohammad Golam Sabbir; Subir K Roy Chowdhury; Teresa Mixcoatl-Zecuatl; Ali Saleh; Nabeel Muttalib; Randy Van der Ploeg; Joseline Ochoa; Allison Gopaul; Lori Tessler; Jürgen Wess; Corinne G Jolivalt; Paul Fernyhough
Journal:  J Clin Invest       Date:  2017-01-17       Impact factor: 14.808

5.  Diffusion tensor imaging of the sural nerve in normal controls.

Authors:  Boklye Kim; Ashok Srinivasan; Brian Sabb; Eva L Feldman; Rodica Pop-Busui
Journal:  Clin Imaging       Date:  2014-04-28       Impact factor: 1.605

Review 6.  Glucose control and diabetic neuropathy: lessons from recent large clinical trials.

Authors:  Lynn Ang; Mamta Jaiswal; Catherine Martin; Rodica Pop-Busui
Journal:  Curr Diab Rep       Date:  2014       Impact factor: 4.810

7.  Modulating molecular chaperones improves sensory fiber recovery and mitochondrial function in diabetic peripheral neuropathy.

Authors:  Michael J Urban; Pan Pan; Kevin L Farmer; Huiping Zhao; Brian S J Blagg; Rick T Dobrowsky
Journal:  Exp Neurol       Date:  2012-03-20       Impact factor: 5.330

Review 8.  Phenotyping animal models of diabetic neuropathy: a consensus statement of the diabetic neuropathy study group of the EASD (Neurodiab).

Authors:  G J Biessels; V Bril; N A Calcutt; N E Cameron; M A Cotter; R Dobrowsky; E L Feldman; P Fernyhough; J Jakobsen; R A Malik; A P Mizisin; P J Oates; I G Obrosova; R Pop-Busui; J W Russell; A A Sima; M J Stevens; R E Schmidt; S Tesfaye; A Veves; A I Vinik; D E Wright; S Yagihashi; M A Yorek; D Ziegler; D W Zochodne
Journal:  J Peripher Nerv Syst       Date:  2014-06       Impact factor: 3.494

9.  The diagnostic accuracy of Neuropad for assessing large and small fibre diabetic neuropathy.

Authors:  G Ponirakis; I N Petropoulos; H Fadavi; U Alam; O Asghar; A Marshall; M Tavakoli; R A Malik
Journal:  Diabet Med       Date:  2014-07-14       Impact factor: 4.359

10.  Better diagnostic accuracy of neuropathy in obesity: A new challenge for neurologists.

Authors:  Brian C Callaghan; Rong Xia; Evan Reynolds; Mousumi Banerjee; Charles Burant; Amy Rothberg; Rodica Pop-Busui; Emily Villegas-Umana; Eva L Feldman
Journal:  Clin Neurophysiol       Date:  2018-01-16       Impact factor: 3.708

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