Fat, muscle, and anti-obesity medications in cardiovascular disease prevention

医学 减肥 背景(考古学) 肌萎缩 瘦体质量 骨骼肌 代谢综合征 重症监护医学 肥胖 肌萎缩性肥胖 胰岛素抵抗 生物信息学 内分泌学 内科学 疾病 心理干预 转化研究 临床试验 合成代谢 肥胖悖论 药物治疗 药理学 物理疗法 肌肉团 脂毒性 药物开发
作者
Muhammad Shahzeb Khan,Muhammad Hamza Dawood,Yehuda Handelsman,Stefan D Anker,Andrew J Stewart Coats,Jennifer B Green,Javed Butler
出处
期刊:European Heart Journal [Oxford University Press]
标识
DOI:10.1093/eurheartj/ehag201
摘要

The rapid expansion of anti-obesity treatments with glucagon-like peptide-1 receptor agonists has redefined weight management. A consistent component of this weight loss, however, involves not only fat mass but also lean body mass, including skeletal muscle. This raises concerns regarding sarcopenia, frailty, and metabolic resilience that may attenuate long-term cardiovascular risk reduction. Muscle loss with these drugs is multifactorial, related to caloric restriction, anabolic resistance, and hormonal shifts. Emerging agents targeting the myostatin/activin pathway, ligand traps, and selective androgen receptor modulators may increase muscle quality and have synergistic benefit with incretin-based therapies. Resistance training is currently the suggested strategy for preserving skeletal muscle and functional capacity during pharmacologic weight loss, while adjunctive strategies such as optimized protein intake and nutraceuticals may further mitigate muscle catabolism. A paradigm shift is needed in obesity treatment away from total weight loss towards high-quality weight loss that preserves or enhances muscle mass, optimizing body composition and supporting durable cardiovascular risk reduction. Future research should study lean mass preservation as a treatment goal, redefine trial endpoints, and validate emerging combination interventions for optimal body composition. This manuscript reviews the evidence on muscle loss with pharmacologic weight loss therapies, its mechanistic underpinnings, explores emerging agents designed to preserve lean tissue, and outlines strategies to optimize body composition in the context of cardiovascular prevention.
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
刚刚
wan完成签到 ,获得积分10
刚刚
风中如松发布了新的文献求助10
2秒前
朴素凝冬发布了新的文献求助10
2秒前
wayne完成签到,获得积分10
2秒前
刘鑫宇发布了新的文献求助10
3秒前
爆米花应助fan采纳,获得10
3秒前
Longfenzhong发布了新的文献求助10
4秒前
5秒前
5秒前
华仔应助Accepted采纳,获得10
6秒前
无花果应助海绵宝宝采纳,获得10
7秒前
ding应助阳光采纳,获得10
7秒前
7秒前
9秒前
猪幺妖完成签到 ,获得积分10
10秒前
liuyc发布了新的文献求助10
11秒前
yolo完成签到,获得积分10
16秒前
orixero应助liuyc采纳,获得10
17秒前
bkagyin应助研友_LX62KZ采纳,获得10
17秒前
20秒前
20秒前
21秒前
22秒前
cm完成签到 ,获得积分10
22秒前
24秒前
yxmmmm发布了新的文献求助10
25秒前
阳光发布了新的文献求助10
25秒前
闪闪花生发布了新的文献求助10
27秒前
27秒前
dzj发布了新的文献求助10
27秒前
脆脆鲨完成签到,获得积分10
28秒前
rensuying发布了新的文献求助10
28秒前
光电效应完成签到,获得积分10
28秒前
大气的夜雪完成签到,获得积分10
28秒前
28秒前
完美世界应助元谷雪采纳,获得10
29秒前
今北发布了新的文献求助10
29秒前
cocodu应助右右采纳,获得10
30秒前
wangxiaoyao发布了新的文献求助10
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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7637644
求助须知:如何正确求助?哪些是违规求助? 9211158
关于积分的说明 19758207
捐赠科研通 7204878
什么是DOI,文献DOI怎么找? 3275711
关于科研通互助平台的介绍 2437346
邀请新用户注册赠送积分活动 2272906