Al Lawati Abdullah, Alhabsi Ayman, Rahul Rhieya, Savino Maria-Luisa, Alwahaibi Hamed, Das Srijit, Al Lawati Hanan
Sultan Qaboos University Hospital, Al-Khoud 123, P.O. Box 50, Muscat 123, Oman.
Department of Medicine, Royal College of Surgeons, 123 St Stephen's Green, D02 YN77 Dublin, Ireland.
Diseases. 2025 Apr 22;13(5):129. doi: 10.3390/diseases13050129.
Obesity is a growing global health challenge, necessitating effective treatment options beyond lifestyle interventions. This narrative review explores established and emerging pharmacotherapies for weight management, including parenteral agents like Liraglutide, Semaglutide, Setmelanotide, and Tirzepatide, as well as peroral medications such as Phentermine, Phentermine/Topiramate, Bupropion/Naltrexone, Orlistat, and Metformin. Newer treatments like Cagrilintide and Bimagrumab show promise for enhancing weight loss outcomes. Parenteral GLP-1 receptor agonists demonstrate superior efficacy compared to traditional peroral medications, with gastrointestinal side effects being the most common. Artificial intelligence presents intriguing opportunities to enhance weight loss strategies; however, its integration into clinical practice remains investigational and requires rigorous clinical validation. While current anti-obesity medications deliver significant benefits, future research must determine the efficacy, safety, and cost-effectiveness of AI-driven approaches. This includes exploring how AI can complement combination therapies and tailor personalized interventions, thereby grounding its potential benefits in robust clinical evidence. Future directions will focus on integrating AI into clinical trials to refine and personalize obesity management strategies.
肥胖是一项日益严峻的全球健康挑战,因此除生活方式干预外,还需要有效的治疗方案。本叙述性综述探讨了已确立的和新兴的体重管理药物疗法,包括利拉鲁肽、司美格鲁肽、塞美拉otide和替尔泊肽等肠胃外药物,以及苯丁胺、苯丁胺/托吡酯、安非他酮/纳曲酮、奥利司他和二甲双胍等口服药物。卡格列肽和比马格鲁单抗等新型疗法在提高减肥效果方面显示出前景。与传统口服药物相比,肠胃外胰高血糖素样肽-1(GLP-1)受体激动剂疗效更佳,胃肠道副作用最为常见。人工智能为加强减肥策略带来了有趣的机遇;然而,将其整合到临床实践中仍处于研究阶段,需要严格的临床验证。虽然目前的抗肥胖药物带来了显著益处,但未来的研究必须确定人工智能驱动方法的疗效、安全性和成本效益。这包括探索人工智能如何补充联合疗法并定制个性化干预措施,从而将其潜在益处建立在有力的临床证据基础上。未来的方向将集中在将人工智能整合到临床试验中,以完善和个性化肥胖管理策略。
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