On the pathogenesis of obesity: causal models and missing pieces of the puzzle

肥胖 头脑风暴 分歧(语言学) 因果关系(物理学) 心理学 医学 计算机科学 人工智能 病理 语言学 哲学 物理 量子力学
作者
Faidon Magkos,Thorkild I. A. Sørensen,David Raubenheimer,Nikhil V. Dhurandhar,Ruth J. F. Loos,Anja Bosy‐Westphal,Christoffer Clemmensen,Mads F. Hjorth,David B. Allison,Gary Taubes,Éric Ravussin,Mark I. Friedman,Kevin D. Hall,David S. Ludwig,John R. Speakman,Arne Astrup
出处
期刊:Nature metabolism [Nature Portfolio]
卷期号:6 (10): 1856-1865 被引量:23
标识
DOI:10.1038/s42255-024-01106-8
摘要

Application of the physical laws of energy and mass conservation at the whole-body level is not necessarily informative about causal mechanisms of weight gain and the development of obesity. The energy balance model (EBM) and the carbohydrate-insulin model (CIM) are two plausible theories, among several others, attempting to explain why obesity develops within an overall common physiological framework of regulation of human energy metabolism. These models have been used to explain the pathogenesis of obesity in individuals as well as the dramatic increases in the prevalence of obesity worldwide over the past half century. Here, we summarize outcomes of a recent workshop in Copenhagen that brought together obesity experts from around the world to discuss causal models of obesity pathogenesis. These discussions helped to operationally define commonly used terms; delineate the structure of each model, particularly focussing on areas of overlap and divergence; challenge ideas about the importance of purported causal factors for weight gain; and brainstorm on the key scientific questions that need to be answered. We hope that more experimental research in nutrition and other related fields, and more testing of the models and their predictions will pave the way and provide more answers about the pathogenesis of obesity than those currently available.
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
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
1秒前
1秒前
to_the_end完成签到,获得积分10
3秒前
xcy完成签到,获得积分10
4秒前
优秀丹南完成签到,获得积分10
5秒前
5秒前
feihu发布了新的文献求助10
6秒前
彩色的枫完成签到,获得积分10
7秒前
xcy发布了新的文献求助10
7秒前
尊敬黎昕完成签到,获得积分10
7秒前
cc完成签到,获得积分10
8秒前
所所应助合适的谷蓝采纳,获得10
10秒前
传奇3应助李文杰采纳,获得10
10秒前
yy发布了新的文献求助10
11秒前
11秒前
11秒前
Hexagram完成签到 ,获得积分10
12秒前
彭于晏应助fish采纳,获得10
12秒前
zhy完成签到,获得积分10
13秒前
16秒前
16秒前
jacky完成签到,获得积分10
16秒前
17秒前
古城小街完成签到,获得积分20
17秒前
18秒前
qwertyuiop发布了新的文献求助10
19秒前
20秒前
古城小街发布了新的文献求助10
20秒前
20秒前
22秒前
miny发布了新的文献求助10
23秒前
OnlyHarbour发布了新的文献求助10
24秒前
XylonYu完成签到,获得积分10
24秒前
传奇3应助佳烨采纳,获得10
26秒前
Everglow发布了新的文献求助10
26秒前
SciGPT应助ZXR采纳,获得20
26秒前
26秒前
27秒前
28秒前
28秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Cold War Transcended: Australia's China Policy, 1949-1990 998
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
Testimonial Injustice and Trust 510
久松真一著作集〈第5巻〉禅と芸術 500
Comprehensive Natural Products III 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6625839
求助须知:如何正确求助?哪些是违规求助? 8387968
关于积分的说明 17944134
捐赠科研通 5801255
什么是DOI,文献DOI怎么找? 2962790
邀请新用户注册赠送积分活动 1937956
关于科研通互助平台的介绍 1846202