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)
International Journal of Biological Macromolecules 2019-Nov

Resistant starch from green banana (Musa sp.) attenuates non-alcoholic fat liver accumulation and increases short-chain fatty acids production in high-fat diet-induced obesity in mice.

Samo registrirani korisnici mogu prevoditi članke
Prijava Registriraj se
Veza se sprema u međuspremnik
Carolyne Rosado
Victor Rosa
Bruna Martins
Aruanna Soares
Izabelle Santos
Elisa Monteiro
Nathália Moura-Nunes
Cristiane da Costa
Alessandra Mulder
Julio Daleprane

Ključne riječi

Sažetak

This study aimed to investigate the effect of resistant starch from green banana (GB) on steatosis and short-chain fatty acid (SCFAs) production in high fat diet-induced obesity in mice. High-fat green banana group (HFB) exhibited lower gains in BM (body mass; -6%; P<0.01) compared with High-fat diet group (HF). Additionally, HFB mice showed reduction in liver steatosis (-28%, P<0.01) with reduction of 93% in hepatic triacylglycerol (P<0.01) compared to HF-diet-fed mice. In addition, the protein abundance of AMPKp/AMPK, HMGCoA-r and FAS were downregulated in livers of HFB mice (P<0.01), relatively to the HF-diet-fed mice. ABCG8 and ABCG5 were up-regulated in HFB group compared to HF group (P< 0.01). Furthermore, the HFB fed-mice produced the highest amount of SCFAs (p<0.05) compared to its counterpart HFD. In conclusion, we demonstrated that resistant starch from GB improved metabolic parameters by modulating the expression of key proteins involved in liver lipid metabolism.

Pridružite se našoj
facebook stranici

Najkompletnija baza ljekovitog bilja potpomognuta znanošću

  • Radi na 55 jezika
  • Biljni lijekovi potpomognuti znanošću
  • Prepoznavanje bilja slikom
  • Interaktivna GPS karta - označite bilje na mjestu (uskoro)
  • Pročitajte znanstvene publikacije povezane s vašom pretragom
  • Pretražite ljekovito bilje po učincima
  • Organizirajte svoje interese i budite u toku s istraživanjem vijesti, kliničkim ispitivanjima i patentima

Upišite simptom ili bolest i pročitajte o biljkama koje bi mogle pomoći, unesite travu i pogledajte bolesti i simptome protiv kojih se koristi.
* Svi podaci temelje se na objavljenim znanstvenim istraživanjima

Google Play badgeApp Store badge