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)
Journal of Renal Nutrition 2006-Jul

Proteolytic mechanisms, not malnutrition, cause loss of muscle mass in kidney failure.

Seuls les utilisateurs enregistrés peuvent traduire des articles
Se connecter S'inscrire
Le lien est enregistré dans le presse-papiers
William E Mitch

Mots clés

Abstrait

Hypoalbuminemia and muscle atrophy are frequently found in patients with chronic kidney disease (CKD) and patients being treated by dialysis. These abnormalities are usually attributed to malnutrition, meaning that they are caused by an inadequate diet. However, the evidence indicates that malnutrition is rarely the mechanism causing loss of protein stores. Instead, low values of serum albumin are closely related to the presence of inflammation and loss of muscle mass is attributable to activation of specific proteases. In uremic rodents and patients, the initial step in the loss of muscle protein is an activation of caspase-3. This cleaves the complex structure of muscle, and its action can be detected by the presence of a characteristic 14-kDa actin fragment in the insoluble fraction of muscle. The second step in uremia-induced loss of muscle protein is an activation of the ubiquitin-proteasome system, which rapidly degrades proteins released by caspase-3 cleavage of muscle proteins. Activation of both caspase-3 and the ubiquitin-proteasome system occur when there is suppression of the cellular signaling pathway activated by insulin/insulinlike growth factor 1, the phosphatidylinositol 3-kinase/Akt pathway. A potential therapeutic target for preventing loss of muscle protein is to stimulate activity of this signaling pathway.

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