Cellular mechanisms of insulin resistance

胰岛素抵抗 胰岛素 抗性(生态学) 生物 医学 生物信息学 计算生物学 内分泌学 生态学
作者
Gerald I. Shulman
出处
期刊:Journal of Clinical Investigation [American Society for Clinical Investigation]
卷期号:106 (2): 171-176 被引量:2671
标识
DOI:10.1172/jci10583
摘要

It is estimated that by the year 2020 there will be approximately 250 million people affected by type 2 diabetes mellitus worldwide (1). Although the primary factors causing this disease are unknown, it is clear that insulin resistance plays a major role in its development. Evidence for this comes from (a) the presence of insulin resistance 10–20 years before the onset of the disease (2, 3); (b) cross-sectional studies demonstrating that insulin resistance is a consistent finding in patients with type 2 diabetes (3–6); and (c) prospective studies demonstrating that insulin resistance is the best predictor of whether or not an individual will later become diabetic (2, 3). Here, I focus on some recent advances in our understanding of human insulin resistance that have been made using nuclear magnetic resonance spectroscopy (NMR). This technique takes advantage of the spin properties of the nuclei of certain isotopes, such as 1H, 13C, and 31P, which endow the isotopes with a magnetic component that can be used to measure the concentration of intracellular metabolites noninvasively and to assess biochemical differences between normal and diabetic subjects. Drawing on NMR studies from my laboratory and others, I first consider the control of glucose phosphorylation and transport in regulating muscle responses to insulin. I then turn to the effects of fatty acids on insulin responses, showing that commonly accepted models that attempt to explain the association of insulin resistance and obesity are incompatible with recent findings. Finally, I propose an alternative model that appears to fit these and other available data.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
孙意冉完成签到,获得积分10
2秒前
PATTOM发布了新的文献求助10
5秒前
5秒前
xixifu发布了新的文献求助10
5秒前
5秒前
Akim应助哩哩采纳,获得10
7秒前
8秒前
8秒前
干净南风发布了新的文献求助10
8秒前
9秒前
优美的跳跳糖完成签到 ,获得积分10
9秒前
xiaoxiaoz发布了新的文献求助10
12秒前
12秒前
liyu发布了新的文献求助10
12秒前
zhao完成签到 ,获得积分10
12秒前
12秒前
13秒前
13秒前
13秒前
玉梅发布了新的文献求助10
14秒前
科研通AI5应助干净南风采纳,获得10
14秒前
15秒前
木由子发布了新的文献求助10
16秒前
16秒前
wyiii完成签到,获得积分10
17秒前
XUAN发布了新的文献求助10
17秒前
华仔应助怕黑的雪莲采纳,获得10
18秒前
18秒前
18秒前
20秒前
lan发布了新的文献求助10
21秒前
shijie805发布了新的文献求助20
22秒前
小小菜鸟发布了新的文献求助10
24秒前
科研通AI6应助cherry采纳,获得10
25秒前
vungocbinh发布了新的文献求助10
25秒前
Ma_Fangru发布了新的文献求助30
27秒前
27秒前
28秒前
30秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
计划经济时代的工厂管理与工人状况(1949-1966)——以郑州市国营工厂为例 500
INQUIRY-BASED PEDAGOGY TO SUPPORT STEM LEARNING AND 21ST CENTURY SKILLS: PREPARING NEW TEACHERS TO IMPLEMENT PROJECT AND PROBLEM-BASED LEARNING 500
Sociologies et cosmopolitisme méthodologique 400
Why America Can't Retrench (And How it Might) 400
Another look at Archaeopteryx as the oldest bird 390
Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3.0 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 催化作用 遗传学 冶金 电极 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 4624923
求助须知:如何正确求助?哪些是违规求助? 4024171
关于积分的说明 12456546
捐赠科研通 3708857
什么是DOI,文献DOI怎么找? 2045726
邀请新用户注册赠送积分活动 1077723
科研通“疑难数据库(出版商)”最低求助积分说明 960238