{"title":"Review of the potential value of treatment targets in obesity management.","authors":"Faisal Almohaileb, Carel W le Roux","doi":"10.1080/17446651.2025.2516522","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Treatment targets can be considered the threshold where treatments generate optimal health outcomes while causing minimal complications. Treatment targets often uses a surrogate measure for the disease process, but are linked with an important outcome of disease management. Unlike chronic diseases such as type 1 diabetes, type 2 diabetes, hypertension, and dyslipidemia, which have clear treatment targets, obesity management lacks defined therapeutic targets. Insights from other chronic diseases may improve patient outcomes. They guide care, assess therapy response, and reduce complications.</p><p><strong>Areas covered: </strong>This article explores how treatment targets for diabetes, hypertension, and dyslipidemia were developed, drawing on a narrative review of literature from 1950 to 2025 using PubMed and Embase. It examines how similar principles could inform obesity treatment, proposing early hypotheses like BMI ≤ 27 kg/m<sup>2</sup> and WHtR < 0.53 that warrant future validation.</p><p><strong>Expert opinion: </strong>Targets in chronic disease care reduce complications. While not yet validated, BMI ≤ 27 kg/m<sup>2</sup> and WHtR < 0.53 May serve as early anchors for structured obesity treatment strategies.</p>","PeriodicalId":12107,"journal":{"name":"Expert Review of Endocrinology & Metabolism","volume":" ","pages":"1-7"},"PeriodicalIF":2.7000,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Review of Endocrinology & Metabolism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17446651.2025.2516522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Treatment targets can be considered the threshold where treatments generate optimal health outcomes while causing minimal complications. Treatment targets often uses a surrogate measure for the disease process, but are linked with an important outcome of disease management. Unlike chronic diseases such as type 1 diabetes, type 2 diabetes, hypertension, and dyslipidemia, which have clear treatment targets, obesity management lacks defined therapeutic targets. Insights from other chronic diseases may improve patient outcomes. They guide care, assess therapy response, and reduce complications.
Areas covered: This article explores how treatment targets for diabetes, hypertension, and dyslipidemia were developed, drawing on a narrative review of literature from 1950 to 2025 using PubMed and Embase. It examines how similar principles could inform obesity treatment, proposing early hypotheses like BMI ≤ 27 kg/m2 and WHtR < 0.53 that warrant future validation.
Expert opinion: Targets in chronic disease care reduce complications. While not yet validated, BMI ≤ 27 kg/m2 and WHtR < 0.53 May serve as early anchors for structured obesity treatment strategies.
期刊介绍:
Implicated in a plethora of regulatory dysfunctions involving growth and development, metabolism, electrolyte balances and reproduction, endocrine disruption is one of the highest priority research topics in the world. As a result, we are now in a position to better detect, characterize and overcome the damage mediated by adverse interaction with the endocrine system. Expert Review of Endocrinology and Metabolism (ISSN 1744-6651), provides extensive coverage of state-of-the-art research and clinical advancements in the field of endocrine control and metabolism, with a focus on screening, prevention, diagnostics, existing and novel therapeutics, as well as related molecular genetics, pathophysiology and epidemiology.