Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/127521
Title: Diagnosis of Charcot-Marie-Tooth disease
Author: Banchs, Isabel
Casasnovas Pons, Carlos
Albertí, María A.
Jorge, Laura de
Povedano, Mònica
Montero, Jordi
Martínez Matos, Juan Antonio
Volpini Bertrán, Víctor
Keywords: Malalties hereditàries
Neuropaties perifèriques
Diagnòstic
Manifestacions neurològiques de les malalties
Genetic diseases
Peripheral neuropathies
Diagnosis
Neurologic manifestations of general diseases
Issue Date: Oct-2009
Publisher: Hindawi
Abstract: Charcot-Marie-Tooth (CMT) disease or hereditary motor and sensory neuropathy (HMSN) is a genetically heterogeneous group of conditions that affect the peripheral nervous system. The disease is characterized by degeneration or abnormal development of peripheral nerves and exhibits a range of patterns of genetic transmission. In the majority of cases, CMT first appears in infancy, and its manifestations include clumsiness of gait, predominantly distal muscular atrophy of the limbs, and deformity of the feet in the form of foot drop. It can be classified according to the pattern of transmission (autosomal dominant, autosomal recessive, or X linked), according to electrophysiological findings (demyelinating or axonal), or according to the causative mutant gene. The classification of CMT is complex and undergoes constant revision as new genes and mutations are discovered. In this paper, we review the most efficient diagnostic algorithms for the molecular diagnosis of CMT, which are based on clinical and electrophysiological data.
Note: Reproducció del document publicat a: https://doi.org/10.1155/2009/985415
It is part of: Journal of Biomedicine and Biotechnology, 2009, vol. 2009(5), num. 985415
URI: https://hdl.handle.net/2445/127521
Related resource: https://doi.org/10.1155/2009/985415
ISSN: 1110-7243
Appears in Collections:Articles publicats en revistes (Ciències Clíniques)
Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

Files in This Item:
File Description SizeFormat 
658621.pdf1.14 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons