卡路里饱腹率——抗肥胖治疗结果的新预测指标?

IF 30.9 1区 生物学 Q1 CELL BIOLOGY
Sharmili Edwin Thanarajah, Sita Arjune, Ruth Hanssen
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引用次数: 0

摘要

尽管在阐明肥胖病理生理方面取得了进展,但预测个体对减肥干预的反应仍然具有挑战性。Cifuentes等人1开发了一种预测模型,整合遗传风险评分和人体测量参数来估计热量摄入到饱腹,证明了芬特明-托吡酯和利拉鲁肽治疗在预测减肥轨迹方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calories to satiation—A new predictor of anti-obesity therapy outcome?
Despite advances in elucidating obesity pathophysiology, predicting individual responses to weight loss interventions remains challenging. Cifuentes et al.1 developed a predictive model integrating genetic risk scores and anthropometric parameters to estimate caloric intake to satiation, demonstrating potential in forecasting weight loss trajectories with phentermine-topiramate and liraglutide therapies.
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来源期刊
Cell metabolism
Cell metabolism 生物-内分泌学与代谢
CiteScore
48.60
自引率
1.40%
发文量
173
审稿时长
2.5 months
期刊介绍: Cell Metabolism is a top research journal established in 2005 that focuses on publishing original and impactful papers in the field of metabolic research.It covers a wide range of topics including diabetes, obesity, cardiovascular biology, aging and stress responses, circadian biology, and many others. Cell Metabolism aims to contribute to the advancement of metabolic research by providing a platform for the publication and dissemination of high-quality research and thought-provoking articles.
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