{"title":"Long-term management of body weight and physiological mechanisms of weight regain.","authors":"Tingting Hu, Yuqian Bao","doi":"10.1093/jmcb/mjaf062","DOIUrl":null,"url":null,"abstract":"<p><p>Overweight and obesity are major global health challenges. Despite progress in behavioral interventions, nutrition, physical activity, pharmacotherapy, and bariatric procedures, weight regain after successful weight loss is a major challenge. Understanding the definition and physiological mechanisms of weight regain is crucial for developing effective strategies to tackle weight regain and reduce cardiometabolic disorders. This review summarizes recent advances in weight loss strategies. We also discuss the metrics used to quantify weight regain, emphasizing the need for standardization to facilitate comparison between studies, and examine weight regain predictors, including demographic and clinical characteristics, behavior, anatomic factors, and biomarkers. The potential physiological mechanisms underlying weight regain, focusing on obesity memory, metabolic adaptation, and gut hormone alterations, are further elucidated. Comprehensively understanding weight regain provides a foundation for developing long-term, personalized strategies and integrating emerging technologies such as artificial intelligence into long-term weight management.</p>","PeriodicalId":16433,"journal":{"name":"Journal of Molecular Cell Biology","volume":" ","pages":""},"PeriodicalIF":6.0000,"publicationDate":"2026-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13490952/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Cell Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/jmcb/mjaf062","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Overweight and obesity are major global health challenges. Despite progress in behavioral interventions, nutrition, physical activity, pharmacotherapy, and bariatric procedures, weight regain after successful weight loss is a major challenge. Understanding the definition and physiological mechanisms of weight regain is crucial for developing effective strategies to tackle weight regain and reduce cardiometabolic disorders. This review summarizes recent advances in weight loss strategies. We also discuss the metrics used to quantify weight regain, emphasizing the need for standardization to facilitate comparison between studies, and examine weight regain predictors, including demographic and clinical characteristics, behavior, anatomic factors, and biomarkers. The potential physiological mechanisms underlying weight regain, focusing on obesity memory, metabolic adaptation, and gut hormone alterations, are further elucidated. Comprehensively understanding weight regain provides a foundation for developing long-term, personalized strategies and integrating emerging technologies such as artificial intelligence into long-term weight management.
期刊介绍:
The Journal of Molecular Cell Biology ( JMCB ) is a full open access, peer-reviewed online journal interested in inter-disciplinary studies at the cross-sections between molecular and cell biology as well as other disciplines of life sciences. The broad scope of JMCB reflects the merging of these life science disciplines such as stem cell research, signaling, genetics, epigenetics, genomics, development, immunology, cancer biology, molecular pathogenesis, neuroscience, and systems biology. The journal will publish primary research papers with findings of unusual significance and broad scientific interest. Review articles, letters and commentary on timely issues are also welcome.
JMCB features an outstanding Editorial Board, which will serve as scientific advisors to the journal and provide strategic guidance for the development of the journal. By selecting only the best papers for publication, JMCB will provide a first rate publishing forum for scientists all over the world.