Portuguese
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)
Translational Stroke Research 2011-Mar

Investigation of the Interaction Between the Ser447Term Polymorphism of Lipoprotein Lipase and the Stroke-Related Risk Factors in Ischemic Stroke.

Apenas usuários registrados podem traduzir artigos
Entrar Inscrever-se
O link é salvo na área de transferência
Yumei Yang
Danhua Du
Peng Gao
Xuan Zhang
Ning Wu
Feng Wang
Zhenqi Wang
Lin Ye
Jiang Wu
Ian L Megson

Palavras-chave

Resumo

The present study aimed to investigate the interaction between the Ser447Term polymorphism in the lipoprotein lipase (LPL) gene and some common risk factors for stroke. A total of 704 unrelated patients with ischemic stroke were recruited for genetic analysis; they were all of Han Chinese origin. These patients were classified into subgroups based on their exposure to stroke-related risk factors, including type 2 diabetes, hypertension, smoking, and hyperlipidemia. The Ser447Term polymorphism was genotyped by PCR-based restriction fragment length polymorphism analysis. The chi-square (χ (2)) test showed that the frequency of Ser447Term G allele was significantly higher in stroke patients with a history of diabetes than in those without a history of diabetes (χ (2) = 7.25, P = 0.007, OR = 1.78, 95%CI 1.18-2.68). Allelic association was not observed in patients exposed to the other three stroke-related risk factors. The combined effect of the LPL gene polymorphisms and diabetes may contribute to the development of a subgroup of ischemic stroke.

Junte-se à nossa
página do facebook

O mais completo banco de dados de ervas medicinais apoiado pela ciência

  • Funciona em 55 idiomas
  • Curas herbais apoiadas pela ciência
  • Reconhecimento de ervas por imagem
  • Mapa GPS interativo - marcar ervas no local (em breve)
  • Leia publicações científicas relacionadas à sua pesquisa
  • Pesquise ervas medicinais por seus efeitos
  • Organize seus interesses e mantenha-se atualizado com as notícias de pesquisa, testes clínicos e patentes

Digite um sintoma ou doença e leia sobre ervas que podem ajudar, digite uma erva e veja as doenças e sintomas contra os quais ela é usada.
* Todas as informações são baseadas em pesquisas científicas publicadas

Google Play badgeApp Store badge