Effect of Nano-Oleanolic Acid Combined With Lipid-Lowering Ketones on Insulin Resistance in Rats with Gestational Diabetes

Author:

Yan Yan1,Wang Shiqing2,Gu Jinping1,Min Zhihong1,Wang Ruizhi2

Affiliation:

1. Department of Obstetrics, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, PR China

2. Department of Radiology, Huadong Hospital, Fudan University, Shanghai 200040, PR China

Abstract

Diabetes is a widespread metabolic syndrome, an important complication during pregnancy. Most cases are type 2 diabetes, which has attracted the attention of the World Health Organization. The typical feature of T2DM is insulin resistance (IR). Its mechanism remains unclear, but it mainly manifests through parameters like insulin sensitivity, blood glucose level, and liver stability. Oxidative stress and insulin transduction play an important role in IR. This study simulates the disease situation, establishes a high-fat and high-fructose-induced model induced by tert-butyl hydroperoxide (tBHP), and adopts nano-sized oleanolic acid combined with lipid-lowering ketones to explore improvement in the IR mechanism. We found combining nano-sized oleanolic acid and lipid-lowering ketones can slow down the weight gain process in rats, reduce fasting blood glucose levels, increase the insulin sensitivity index, reduce the serum MDA, NO, and triglyceride content, and increase SOD, CAT activity. In summary, our results show that the combined use of nano-sized oleanolic acid and lipid-lowering ketone in pregnant rats with double height can reduce glucose metabolism, delay lipid production, and reduce oxidative stress, which is useful for further treatment and interpretation of T2DM The mechanism provides a theoretical basis.

Publisher

American Scientific Publishers

Subject

Pharmaceutical Science,General Materials Science,Biomedical Engineering,Medicine (miscellaneous),Bioengineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3