Français
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Climacteric 2013-Aug

Mutational analysis of the FST gene in Chinese women with idiopathic premature ovarian failure.

Seuls les utilisateurs enregistrés peuvent traduire des articles
Se connecter S'inscrire
Le lien est enregistré dans le presse-papiers
L Liu
R Tan
J Liu
Y Cui
J Liu
J Wu

Mots clés

Abstrait

OBJECTIVE

Recent animal studies have suggested that loss of follistatin (FST) may result in premature cessation of ovarian function. Our objective was to investigate whether mutations in the FST coding region are present in Chinese women with idiopathic premature ovarian failure (POF).

METHODS

The matched case-control study took place in the First Affiliated Hospital of Nanjing Medical University with 80 idiopathic POF patients and 80 matched controls. There were no interventions. The entire FST coding region was analyzed by direct sequencing in all subjects.

RESULTS

Three FST gene variants were identified, namely c.270C> G, c.598G> C and c.953-184A> T (rs722910). The synonymous variant (c.270C> G) in exon 2 was present in the heterozygous state in a single POF patient. The novel c.598G> C missense mutation, located in exon 4 and resulting in an alanine to proline substitution at amino acid 200, was detected in a single healthy control. There was no difference in genotype distribution and allele frequency of the known single nucleotide polymorphism rs722910 between POF patients and controls.

CONCLUSIONS

Although we did not find any evidence that it is a disease-causing gene, our study is the first to evaluate the role of the FST gene in Chinese women with idiopathic POF.

Rejoignez notre
page facebook

La base de données d'herbes médicinales la plus complète soutenue par la science

  • Fonctionne en 55 langues
  • Cures à base de plantes soutenues par la science
  • Reconnaissance des herbes par image
  • Carte GPS interactive - étiquetez les herbes sur place (à venir)
  • Lisez les publications scientifiques liées à votre recherche
  • Rechercher les herbes médicinales par leurs effets
  • Organisez vos intérêts et restez à jour avec les nouvelles recherches, essais cliniques et brevets

Tapez un symptôme ou une maladie et lisez des informations sur les herbes qui pourraient aider, tapez une herbe et voyez les maladies et symptômes contre lesquels elle est utilisée.
* Toutes les informations sont basées sur des recherches scientifiques publiées

Google Play badgeApp Store badge