二甲双胍
多囊卵巢
自噬
小檗碱
内分泌学
内科学
PI3K/AKT/mTOR通路
安普克
蛋白激酶B
胰岛素抵抗
生物
胰岛素
医学
信号转导
细胞凋亡
药理学
细胞生物学
蛋白激酶A
生物化学
磷酸化
作者
Ruiying Jin,Aixue Chen,Yongju Ye,Yuefang Ren,Jiali Lu,Feilan Xuan,Weimei Zhou
摘要
Abstract The pathologic mechanism of polycystic ovary syndrome (PCOS) is related to increased autophagy of granulosa cells. Both berberine and metformin have been shown to improve PCOS, but whether the combination of berberine and metformin can better improve PCOS by inhibiting autophagy remains unclear. PCOS models were constructed by injecting dehydroepiandrosterone into rats, and berberine, metformin or berberine combined with metformin was administered to rats after modeling. Rats' body weight and ovarian weight were measured before and after modeling. Histopathological examination of ovarian tissue and estrous cycle analysis of rats were performed. Insulin resistance, hormone levels, oxidative stress, and lipid metabolism in PCOS rats were assessed. Expression of the AMPK/AKT/mTOR pathway and autophagy‐related proteins was analyzed by Western blot assays. Granulosa cells were isolated from rat ovarian tissue and identified by immunofluorescence staining followed by transmission electron microscopy analysis. Berberine combined with metformin reduced the body weight and ovarian weight of PCOS rats, increased the number of primordial and primary follicles, decreased the number of secondary and atretic follicles, normalized the estrous cycle, and improved insulin resistance, androgen biosynthesis, oxidative stress and lipid metabolism disorders, and increased estrogen production. In addition, berberine combined with metformin reduced the number of autophagosomes in granulosa cells, which may be related to AMPK/AKT/mTOR pathway activation, decreased Beclin1 and LC3II/LC3I levels, and increased p62 expression. Berberine combined with metformin could inhibit autophagy by activating the AMPK/AKT/mTOR pathway in PCOS, indicating that berberine combined with metformin is a potential treatment strategy for PCOS.
科研通智能强力驱动
Strongly Powered by AbleSci AI