HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Muscle biopsy and UDP-N-acetylglucosamine 2-epimerase/N-acetylmannosamine kinase gene mutation analysis in two Chinese patients with distal myopathy with rimmed vacuoles.

Abstract
Distal myopathy with rimmed vacuoles is an autosomal recessive genetic disease characterized by weakness of the anterior compartment of the lower limbs, sparing the quadriceps muscle, and rimmed vacuoles in muscle biopsies. The disease is caused by a mutation in the UDP-N-acetylglucosamine 2-epimerase/N-acetylmannosamine kinase (GNE) gene located on chromosome 9p13.3. We present two cases of Chinese patients with progressive lower extremity weakness. Clinical presentation, laboratory evaluation, electrodiagnostic testing, muscle pathology, and genetic analysis are described. Patient 1 was found to have heterozygous missense mutations (p.C13S and p.G576R) in the GNE gene and patient 2 had a homozygous missense mutation (p.C13S). The mutation p.C13S has been reported previously in China, Japan, and South Korea; however, the mutation p.G576R has not been described previously.
AuthorsNan Liu, Zhong-Kun Wang, Hai-Xia Wang, Yan Li, Zhen-Hua Niu, Xue-Fan Yu
JournalNeuroreport (Neuroreport) Vol. 26 Issue 10 Pg. 598-601 (Jul 08 2015) ISSN: 1473-558X [Electronic] England
PMID26053703 (Publication Type: Case Reports, Journal Article)
Chemical References
  • Multienzyme Complexes
  • UDP-N-acetylglucosamine 2-epimerase - N-acetylmannosamine kinase
Topics
  • Adult
  • Asian People
  • Biopsy
  • Distal Myopathies (genetics, pathology)
  • Female
  • Humans
  • Male
  • Middle Aged
  • Multienzyme Complexes (genetics)
  • Muscle, Skeletal (pathology)
  • Mutation (genetics)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: