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)
Frontiers of Medicine 2019-Dec

Keratin 5-Cre-driven deletion of Ncstn in an acne inversa-like mouse model leads to a markedly increased IL-36a and Sprr2 expression.

Apenas usuários registrados podem traduzir artigos
Entrar Inscrever-se
O link é salvo na área de transferência
Jun Yang
Lianqing Wang
Yingzhi Huang
Keqiang Liu
Chaoxia Lu
Nuo Si
Rongrong Wang
Yaping Liu
Xue Zhang

Palavras-chave

Resumo

Familial acne inversa (AI) is an autoinflammatory disorder that affects hair follicles and is caused by loss-of-function mutations in γ-secretase component genes. We and other researchers showed that nicastrin (NCSTN) is the most frequently mutated gene in familial AI. In this study, we generated a keratin 5-Cre-driven epidermis-specific Ncstn conditional knockout mutant in mice. We determined that this mutant recapitulated the major phenotypes of AI, including hyperkeratosis of hair follicles and inflammation. In Ncstnflox/flox;K5-Cre mice, the IL-36a expression level markedly increased starting from postnatal day 0 (P0), and this increase occurred much earlier than those of TNF-α, IL-23A, IL-1β, and TLR4. RNA-Seq analysis indicated that Sprr2d, a member of the small proline-rich protein 2 family, in the skin tissues of the Ncstnflox/flox;K5-Cre mice was also upregulated on P0. Quantitative reverse-transcription polymerase chain reaction showed that other Sprr2 genes had a similar expression pattern. Our findings suggested that IL-36a might be a key inflammatory cytokine in the pathophysiology of AI and involved in the malfunction of the skin barrier in the pathogenesis of AI.

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