亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
Augustines完成签到,获得积分10
6秒前
luster完成签到 ,获得积分10
8秒前
11秒前
求助人员应助amerla采纳,获得10
14秒前
科研通AI6应助amerla采纳,获得10
14秒前
jg发布了新的文献求助10
15秒前
15秒前
不说再见发布了新的文献求助10
31秒前
xzh完成签到,获得积分10
34秒前
Marshall发布了新的文献求助10
40秒前
张涛完成签到 ,获得积分10
47秒前
49秒前
chuchu发布了新的文献求助10
53秒前
cnnnnn完成签到 ,获得积分10
57秒前
不说再见完成签到,获得积分10
58秒前
xuanjiawu完成签到 ,获得积分10
1分钟前
赘婿应助111采纳,获得10
1分钟前
1分钟前
W_x完成签到,获得积分10
1分钟前
leemonster发布了新的文献求助10
1分钟前
1分钟前
1分钟前
程晓研完成签到 ,获得积分10
1分钟前
1分钟前
zheng发布了新的文献求助10
1分钟前
SciGPT应助ice采纳,获得10
1分钟前
情怀应助现代菠萝采纳,获得10
1分钟前
胖胖猪完成签到,获得积分10
1分钟前
DduYy完成签到,获得积分10
1分钟前
桐桐应助科研通管家采纳,获得10
1分钟前
共享精神应助可靠的寒风采纳,获得10
1分钟前
1分钟前
桐桐应助孙漪采纳,获得10
1分钟前
蛋堡完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
完美世界应助辛勤的夏云采纳,获得10
1分钟前
1分钟前
1分钟前
冷酷的苗条完成签到 ,获得积分10
2分钟前
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
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 9000
Encyclopedia of the Human Brain Second Edition 8000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Real World Research, 5th Edition 680
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 660
Superabsorbent Polymers 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5681236
求助须知:如何正确求助?哪些是违规求助? 5006240
关于积分的说明 15175228
捐赠科研通 4840870
什么是DOI,文献DOI怎么找? 2594572
邀请新用户注册赠送积分活动 1547670
关于科研通互助平台的介绍 1505650