Hungarian
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)
Phytomedicine 2020-Jul

Cajanolactone A, a stilbenoid from cajanus cajan, prevents ovariectomy-induced obesity and liver steatosis in mice fed a regular diet

Csak regisztrált felhasználók fordíthatnak cikkeket
Belépés Regisztrálás
A hivatkozás a vágólapra kerül
Zhuo-Hui Luo
Zhi-Wen Liu
Yu Mao
Rong Shu
Lin-Chun Fu
Rui-Yi Yang
Ying-Jie Hu
Xiao-Ling Shen

Kulcsszavak

Absztrakt

Background: Visceral obesity and fatty liver are prevalent in postmenopausal women. The stilbene-rich extract of Cajanus cajan (L.) Millsp. has been reported to prevent ovariectomy-induced and diet-induced weight gain in animal models, and stilbenoids from C. cajan are thought to have the potential to prevent postmenopausal obesity and fatty liver.

Purpose: Cajanolactone A (CLA) is the main stilbenoid from C. cajan with osteoblastogenic promoting activity. This study investigated the potential of CLA to prevent postmenopausal obesity and fatty liver. Underlying mechanisms were also investigated.

Method: Ovariectomized C57BL/6 mice fed a regular diet were used as mimics of postmenopausal women and given 10, 20, or 40 mg/kg/d of CLA, 0.1 mg/kg/d of estradiol valerate (EV, positive control), or vehicle (OVX) orally for 16 weeks. Mice of the same age subjected to a sham operation were used as control (Sham). Body weights were recorded every 2 weeks for 16 weeks. Body compositions were analyzed via micro-CT. Serum levels of lipids, adipocytokines and aminotransferases were measured using the relevant kits. mRNA levels of genes of interest were detected by RT-qPCR. Proteomic study of perigonadal white adipose tissue (pWAT) was performed using tandem-mass-tags-based proteomic technology combined with Parallel-Reaction-Monitoring (PRM) validation.

Results: CLA showed potential equivalent to that of EV to prevent ovariectomy-induced overweight, obesity, dyslipidemia, liver steatosis and liver dysfunction, but did not prevent uterine atrophy. In the liver, CLA significantly inhibited ovariectomy-induced upregulation in expression of lipogenic genes SREBP-1c and ChREBP, and stimulated the mRNA expression of apolipoprotein B gene ApoB. In pWAT, CLA reversed, or partially reversed ovariectomy-induced downregulation in the expression of a number of metabolism- and mitochondrial-function-related proteins, including Ndufa3, Pcx, Pdhb, Acly, Acaca, Aldh2, Aacs and Echs1. In addition, ovariectomy-inhibited mRNA expression of Pdhb, Aacs, Acsm5, Echs1, and Aldh2 genes in pWAT was also reversed.

Conclusion: CLA was demonstrated to be a potential non-estrogen-like drug candidate for prevention of postmenopausal obesity and fatty liver. The underlying mechanism might involve the inhibition of lipogenesis and promotion of triglycerides output in the liver, and the promotion of metabolism and mitochondrial functions of visceral white adipose tissue.

Keywords: Cajanolactone A; Cajanus cajan; Fatty liver; Ovariectomy; Postmenopausal obesity; Proteomics of perigonadal white adipose tissue.

Csatlakozzon
facebook oldalunkhoz

A legteljesebb gyógynövény-adatbázis, amelyet a tudomány támogat

  • Működik 55 nyelven
  • A tudomány által támogatott gyógynövényes kúrák
  • Gyógynövények felismerése kép alapján
  • Interaktív GPS térkép - jelölje meg a gyógynövényeket a helyszínen (hamarosan)
  • Olvassa el a keresésével kapcsolatos tudományos publikációkat
  • Keresse meg a gyógynövényeket hatásuk szerint
  • Szervezze meg érdeklődését, és naprakész legyen a hírkutatással, a klinikai vizsgálatokkal és a szabadalmakkal

Írjon be egy tünetet vagy betegséget, és olvassa el azokat a gyógynövényeket, amelyek segíthetnek, beírhat egy gyógynövényt, és megtekintheti azokat a betegségeket és tüneteket, amelyek ellen használják.
* Minden információ publikált tudományos kutatáson alapul

Google Play badgeApp Store badge