Journal of Obesity & Metabolic Syndrome最新文献

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Beyond Body Mass Index: Toward a Focus on Body Composition and Function. 超越身体质量指数:关注身体组成和功能。
IF 7.9
Journal of Obesity & Metabolic Syndrome Pub Date : 2025-10-30 Epub Date: 2025-10-24 DOI: 10.7570/jomes25091
Kyung Hee Park
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引用次数: 0
Spatial Transcriptomics of Adipose Tissue: Technologies, Applications, and Challenges. 脂肪组织的空间转录组学:技术、应用和挑战。
IF 12.7
Journal of Obesity & Metabolic Syndrome Pub Date : 2025-10-30 Epub Date: 2025-10-16 DOI: 10.7570/jomes25078
Ashley R Keesling, Elizabeth A Rondini, James G Granneman
{"title":"Spatial Transcriptomics of Adipose Tissue: Technologies, Applications, and Challenges.","authors":"Ashley R Keesling, Elizabeth A Rondini, James G Granneman","doi":"10.7570/jomes25078","DOIUrl":"10.7570/jomes25078","url":null,"abstract":"<p><p>Adipose tissue is a complex metabolic and endocrine organ that plays a central role in systemic energy homeostasis. While single-cell and single-nucleus RNA sequencing have revealed remarkable cellular heterogeneity within adipose tissue depots, these approaches lack spatial context, limiting the ability to understand how cellular organization and microenvironmental cues shape adipose tissue biology. Spatial transcriptomics (ST) has emerged as a powerful technology to overcome this barrier by allowing one to map gene expression directly within intact tissue sections. Recent advances in ST platforms now permit analysis at a high resolution, enabling interrogation of adipocyte subpopulations, stromal progenitors, immune cell infiltration, and tissue remodeling. In this review, we provide an overview of current ST technologies, computational strategies for analysis, and recent applications for understanding adipose tissue biology. We further highlight key opportunities for ST to address unanswered questions surrounding adipogenic niches, depot-specific remodeling, and immune cell interactions. Together, these advances position ST as a transformative tool for dissecting the architecture and function of adipose tissue in health and metabolic disease.</p>","PeriodicalId":45386,"journal":{"name":"Journal of Obesity & Metabolic Syndrome","volume":" ","pages":"362-377"},"PeriodicalIF":12.7,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12583788/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145303953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
2024 Obesity Fact Sheet in Korea: Prevalence of Obesity, Abdominal Obesity, Obesity Defined by Body Fat Percentage, and Underweight in Adults in Korea from 2013 to 2022. 2024年韩国肥胖概况:2013年至2022年韩国成年人肥胖、腹部肥胖、体脂率定义的肥胖和体重不足的患病率。
IF 7.9
Journal of Obesity & Metabolic Syndrome Pub Date : 2025-10-30 Epub Date: 2025-08-11 DOI: 10.7570/jomes25039
Sinyoung Cho, Jin-Hyung Jung, Ga Eun Nam, In Young Cho, Kye-Yeung Park, Su-Min Jeong, Kyungdo Han
{"title":"2024 Obesity Fact Sheet in Korea: Prevalence of Obesity, Abdominal Obesity, Obesity Defined by Body Fat Percentage, and Underweight in Adults in Korea from 2013 to 2022.","authors":"Sinyoung Cho, Jin-Hyung Jung, Ga Eun Nam, In Young Cho, Kye-Yeung Park, Su-Min Jeong, Kyungdo Han","doi":"10.7570/jomes25039","DOIUrl":"10.7570/jomes25039","url":null,"abstract":"<p><strong>Background: </strong>The 2024 Obesity Fact Sheet provides an updated overview of the prevalence of obesity, abdominal obesity, underweight, and obesity as defined by body fat percentage and low muscle mass.</p><p><strong>Methods: </strong>This study included participants who underwent general health examinations provided by the National Health Insurance Service between 2013 and 2022 (17,220,905 in 2022) and 4,425 participants in the Korea National Health and Nutrition Examination Survey (2022).</p><p><strong>Results: </strong>In 2022, prevalence rates of obesity and abdominal obesity were 38.4% (males 49.6%, females 27.7%) and 24.5% (males 31.3%, females 18.0%), respectively. Although the prevalence of obesity increased across all classes, class II and III obesity increased notably by 1.6-fold and 2.6-fold, respectively, compared with 2013. The prevalence of underweight was highest among adults aged 20 to 24 and those aged ≥85. Across all age groups, the prevalence of underweight was consistently higher among females than in males. The prevalence of obesity, defined as body fat percentage, was 41.5% (46.1% in males and 37.1% in females), whereas that of low muscle mass was 16.8%.</p><p><strong>Conclusion: </strong>This study presents updated data on the prevalence of obesity, abdominal obesity, underweight, and obesity defined by body fat percentage and low muscle mass. These findings highlight the need for timely strategies for obesity prevention and management, as well as the importance of addressing underweight status among young adults and older individuals. Moreover, our findings emphasize the complexity of obesity assessment, addressing the need for more detailed evaluation of body composition.</p>","PeriodicalId":45386,"journal":{"name":"Journal of Obesity & Metabolic Syndrome","volume":" ","pages":"405-413"},"PeriodicalIF":7.9,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12583790/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144817832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Association between Relative Skeletal Muscle Mass and Metabolic Dysfunction-Associated Steatotic Liver Disease Development in a Community-Based Population. 社区人群中相对骨骼肌质量与代谢功能障碍相关脂肪变性肝病发展之间的关系
IF 7.9
Journal of Obesity & Metabolic Syndrome Pub Date : 2025-10-30 Epub Date: 2025-09-08 DOI: 10.7570/jomes25009
Yiting Xu, Tingting Hu, Xiaoya Li, Yun Shen, Yunfeng Xiao, Yufei Wang, Yuqian Bao, Xiaojing Ma
{"title":"Association between Relative Skeletal Muscle Mass and Metabolic Dysfunction-Associated Steatotic Liver Disease Development in a Community-Based Population.","authors":"Yiting Xu, Tingting Hu, Xiaoya Li, Yun Shen, Yunfeng Xiao, Yufei Wang, Yuqian Bao, Xiaojing Ma","doi":"10.7570/jomes25009","DOIUrl":"10.7570/jomes25009","url":null,"abstract":"<p><strong>Background: </strong>This study explores how relative skeletal muscle mass is associated with the development of metabolic dysfunction-associated steatotic liver disease (MASLD) and the remission of baseline MASLD in a community-based population cohort.</p><p><strong>Methods: </strong>The study included 1,544 participants with an average age of 58 years. All participants underwent baseline and follow-up assessments in 2015 or 2016. Appendicular skeletal muscle mass was measured using an automatic bioelectrical impedance analysis (BIA), and total skeletal muscle mass was calculated using the BIA equation. Relative skeletal muscle mass was evaluated in two ways: divided by weight and divided by visceral fat area (VFA). Liver fat content was assessed using ultrasonography, and the NAFLD fibrosis score was calculated to quantify the degree of liver fibrosis.</p><p><strong>Results: </strong>During a median follow-up of 2.1 years, each one-standard deviation increase in relative total skeletal muscle mass was associated with a decreased risk of MASLD incidence among males (hazard ratio [HR], 0.56; 95% confidence interval [CI], 0.43 to 0.74, adjusted for weight; and HR, 0.23; 95% CI, 0.13 to 0.42, adjusted for VFA) and females (HR, 0.62; 95% CI, 0.47 to 0.83, adjusted for weight; and HR, 0.37; 95% CI, 0.19 to 0.70, adjusted for VFA). In both sexes, the increase in relative appendicular skeletal muscle mass was also associated with a reduced MASLD risk. We found statistically significant inverse associations between relative skeletal muscle mass and both liver fat content and liver fibrosis.</p><p><strong>Conclusion: </strong>Low relative muscle mass is associated with an increased risk of MASLD incidence and persistence. Therefore, increasing skeletal muscle mass over time might aid in the prevention and management of MASLD.</p>","PeriodicalId":45386,"journal":{"name":"Journal of Obesity & Metabolic Syndrome","volume":" ","pages":"456-466"},"PeriodicalIF":7.9,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12583785/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145013407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effects of Physical Activity on Medical Expenses among Individuals with Obesity in Korea: Insights from a Nationwide Study. 体育活动对韩国肥胖患者医疗费用的影响:来自一项全国性研究的见解。
IF 7.9
Journal of Obesity & Metabolic Syndrome Pub Date : 2025-10-30 Epub Date: 2025-09-08 DOI: 10.7570/jomes25020
Ga Eun Nam, Youn Huh, Kyungdo Han, Kyu-Na Lee, Chung-Woo Lee, Wonsock Kim, Kye-Yeung Park, Hae-Jin Ko, Yoon Jeong Cho, Chong Hwa Kim, Seungjoon Oh
{"title":"Effects of Physical Activity on Medical Expenses among Individuals with Obesity in Korea: Insights from a Nationwide Study.","authors":"Ga Eun Nam, Youn Huh, Kyungdo Han, Kyu-Na Lee, Chung-Woo Lee, Wonsock Kim, Kye-Yeung Park, Hae-Jin Ko, Yoon Jeong Cho, Chong Hwa Kim, Seungjoon Oh","doi":"10.7570/jomes25020","DOIUrl":"10.7570/jomes25020","url":null,"abstract":"<p><strong>Background: </strong>Research on the relationship between physical activity and medical expenses among individuals with obesity has been sparse. This study investigates that association using nationwide data from Korea.</p><p><strong>Methods: </strong>We analyzed data from the National Sample Cohort of the Korean National Health Insurance Service, including 112,531 adults with obesity who underwent at least two health screenings within a 2-year interval between 2009 and 2015. Participants were categorized into four groups based on changes in their regular physical activity during 2 years: non-exercisers, quitters, starters, and maintainers. A two-part model was used to assess the average and excess annual medical expenses per person, including outpatient and hospitalization expenses.</p><p><strong>Results: </strong>Lower levels of physical activity correlated with an increase in both average and excess annual medical expenses per person (<i>P</i> for trend <0.001). Non-exercisers showed the highest average annual medical expenses per person, followed by quitters, starters, and maintainers. The most substantial increases in overall medical expenses were observed among quitters, followed by non-exercisers, starters, and maintainers. These associations were prominent in individuals aged ≥65 years and those with both type 2 diabetes mellitus and hypertension.</p><p><strong>Conclusion: </strong>In this nationwide study of individuals with obesity, lower physical activity levels were associated with increased medical expenses. Consistently engaging in physical activity might significantly lower medical expenses, particularly among elderly people and individuals with comorbidities. These findings highlight the importance of promoting sustained physical activity as a strategy for managing healthcare costs among individuals with obesity.</p>","PeriodicalId":45386,"journal":{"name":"Journal of Obesity & Metabolic Syndrome","volume":" ","pages":"424-433"},"PeriodicalIF":7.9,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12583784/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145013373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multimodal and Multidimensional Artificial Intelligence Technology in Obesity. 肥胖症的多模态多维人工智能技术。
IF 7.9
Journal of Obesity & Metabolic Syndrome Pub Date : 2025-10-30 Epub Date: 2025-09-09 DOI: 10.7570/jomes25035
Hyeseung Lee, Jiyoung Hwang, Dong Keon Yon, Sang Youl Rhee
{"title":"Multimodal and Multidimensional Artificial Intelligence Technology in Obesity.","authors":"Hyeseung Lee, Jiyoung Hwang, Dong Keon Yon, Sang Youl Rhee","doi":"10.7570/jomes25035","DOIUrl":"10.7570/jomes25035","url":null,"abstract":"<p><p>Although the prevalence of obesity is increasing worldwide, related treatment remains a complex challenge that requires multidimensional approaches. Recent advancements in artificial intelligence (AI) have led to the development of multimodal methods capable of integrating diverse types of data. These AI approaches utilize both multimodal data integration and multidimensional feature representations, enabling personalized, data-driven strategies for obesity management. AI can support obesity management through applications such as risk prediction, clinical decision support systems, large language models, and digital therapeutics. Several studies have shown that these AI-based weight loss programs can achieve significant weight reduction and behavioral changes. These AI systems can induce behavioral modifications through continuous personalized feedback and improve accessibility for people in underserved areas. However, these AI technologies must address issues such as data privacy and security, transparency and accountability, and consider the potential widening health disparities between individuals who have access to AI technology and those who do not, as well as strategies for sustained user engagement. Conducting long-term clinical trials and evaluations of cost-effectiveness across diverse, large-scale populations would facilitate the effective application of AI in obesity management, ultimately contributing to improvements in public health.</p>","PeriodicalId":45386,"journal":{"name":"Journal of Obesity & Metabolic Syndrome","volume":" ","pages":"394-404"},"PeriodicalIF":7.9,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12583783/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145024330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Trends in Prevalence of Obesity and Related Cardiometabolic and Renal Complications in Korea: A Nationwide Study 2007 to 2022. 韩国肥胖症及相关心脏代谢和肾脏并发症流行趋势:2007年至2022年的一项全国性研究
IF 7.9
Journal of Obesity & Metabolic Syndrome Pub Date : 2025-10-30 Epub Date: 2025-08-11 DOI: 10.7570/jomes24040
Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Jangho Lee, Yong-Ho Lee
{"title":"Trends in Prevalence of Obesity and Related Cardiometabolic and Renal Complications in Korea: A Nationwide Study 2007 to 2022.","authors":"Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Jangho Lee, Yong-Ho Lee","doi":"10.7570/jomes24040","DOIUrl":"10.7570/jomes24040","url":null,"abstract":"<p><strong>Background: </strong>As obesity increases, the burden of obesity-related comorbidities also rises. However, the prevalence of obesity-related comorbidities among individuals in Korea has not been evaluated.</p><p><strong>Methods: </strong>Data from the 2007 to 2022 Korean National Health and Nutrition Examination Surveys database were analyzed (n=93,761). The prevalence of hypertension, diabetes, dyslipidemia, steatotic liver disease (SLD), and chronic kidney disease (CKD) was analyzed based on the presence of obesity and central obesity. The prevalence of obesity-related comorbidities was examined according to age and sex.</p><p><strong>Results: </strong>The prevalence of obesity has steadily increased from 31.5% in 2007-2009 to 37.4% in 2020-2022, with a more pronounced rise in men and those aged 19 to 39 years. Among individuals with obesity, the prevalence of hypertension, diabetes, dyslipidemia, CKD, and SLD has also increased. The proportion of metabolic dysfunction-associated steatotic liver disease (MASLD) and MASLD with increased alcohol intake have risen. The increase in CKD prevalence was particularly prominent in the young (19 to 39 years) and middle-aged (40 to 59 years) groups. Similar trends were observed when analyzing data based on central obesity.</p><p><strong>Conclusion: </strong>With the increase in obesity, the prevalence of obesity-related comorbidities in the Korean population has risen. Young and middle-aged individuals with obesity are particularly vulnerable to these comorbidities, highlighting the need for early intervention and targeted healthcare strategies.</p>","PeriodicalId":45386,"journal":{"name":"Journal of Obesity & Metabolic Syndrome","volume":" ","pages":"414-423"},"PeriodicalIF":7.9,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12583793/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144817834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Decoding the Adipocyte Epigenome: Differentiation, Metabolic Memory, and Obesity. 解码脂肪细胞表观基因组:分化、代谢记忆和肥胖。
IF 7.9
Journal of Obesity & Metabolic Syndrome Pub Date : 2025-10-30 Epub Date: 2025-10-20 DOI: 10.7570/jomes25079
Shunsuke Kato, Hironori Waki
{"title":"Decoding the Adipocyte Epigenome: Differentiation, Metabolic Memory, and Obesity.","authors":"Shunsuke Kato, Hironori Waki","doi":"10.7570/jomes25079","DOIUrl":"10.7570/jomes25079","url":null,"abstract":"<p><p>Adipocytes play a central role in energy balance by integrating lipid storage, thermogenesis, and endocrine regulation. Their diversity-comprising white, brown, and beige adipocytes-emerges through tightly coordinated transcriptional and epigenetic programs. In addition to transcription factors, epigenetic mechanisms such as DNA methylation and histone modifications mediated by acetyltransferases, methyltransferases, and demethylases shape the chromatin states that govern adipocyte differentiation and function. The concept of metabolic memory refers to the long-lasting imprint that environmental and nutritional cues make on cells and tissues; it can facilitate rapid adaptation to subsequent challenges but also predispose organisms to metabolic dysfunction and related complications. Recent technological advances have revealed that cold exposure and obesity leave epigenomic marks on adipocytes, providing mechanistic insights into how metabolic memory is encoded. This review highlights the fundamental principles of the adipose tissue epigenome, the regulation of adipocyte identity, and how epigenomic memory links environmental history to long-term metabolic health.</p>","PeriodicalId":45386,"journal":{"name":"Journal of Obesity & Metabolic Syndrome","volume":" ","pages":"378-393"},"PeriodicalIF":7.9,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12583782/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145330393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Immunometabolic Crosstalk in Adipose Tissue Remodeling: Mechanisms and Therapeutic Perspectives. 脂肪组织重塑中的免疫代谢串扰:机制和治疗观点。
IF 7.9
Journal of Obesity & Metabolic Syndrome Pub Date : 2025-10-30 Epub Date: 2025-10-27 DOI: 10.7570/jomes25080
Yeonho Son, Cheoljun Choi, Junhyuck Lee, Gyeongran Park, Ki Yong Hong, Woong Sun, Mi-Ock Lee, Yun-Hee Lee
{"title":"Immunometabolic Crosstalk in Adipose Tissue Remodeling: Mechanisms and Therapeutic Perspectives.","authors":"Yeonho Son, Cheoljun Choi, Junhyuck Lee, Gyeongran Park, Ki Yong Hong, Woong Sun, Mi-Ock Lee, Yun-Hee Lee","doi":"10.7570/jomes25080","DOIUrl":"10.7570/jomes25080","url":null,"abstract":"<p><p>Adipose tissue is a dynamic immunometabolic organ whose cellular heterogeneity and functional plasticity are central to systemic energy balance and metabolic regulation. Disruption of immune-adipocyte interactions is closely linked to the development of obesity and related metabolic disorders. In this review, we summarize current advances in understanding of the immune landscape in adipose tissue, with an emphasis on the distinct roles of immune cell subsets. Recent approaches including global and single-cell transcriptomic analysis, spatial profiling, and lineage tracing have expanded our ability to characterize these populations. We further highlight mechanisms through which immune cells influence adipocyte turnover, lipid handling, and thermogenesis, as well as reciprocal signals from adipocytes such as cytokines, lipid mediators, extracellular vesicles, and nutrient exchange. This bidirectional crosstalk governs adipose tissue remodeling and determines the occurrence of metabolic homeostasis or dysfunction. Finally, we provide perspectives into the ways in which these interactions may guide the identification of novel therapeutic targets for obesity and metabolic disease.</p>","PeriodicalId":45386,"journal":{"name":"Journal of Obesity & Metabolic Syndrome","volume":" ","pages":"344-361"},"PeriodicalIF":7.9,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12583787/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145373067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hijacked Brain in Modern Obesity: Cue, Habit, Addiction, Emotion, and Restraint as Targets for Personalized Digital Therapy and Electroceuticals. 现代肥胖中被劫持的大脑:暗示、习惯、成瘾、情感和克制作为个性化数字治疗和电子药物的目标。
IF 7.9
Journal of Obesity & Metabolic Syndrome Pub Date : 2025-07-30 Epub Date: 2025-07-24 DOI: 10.7570/jomes25053
Taesung Lee, Seeun Park, Seokhyun Lee, Areum Hwangbo, HanGyeol Bae, Yumin Lee, Hyung Jin Choi
{"title":"Hijacked Brain in Modern Obesity: Cue, Habit, Addiction, Emotion, and Restraint as Targets for Personalized Digital Therapy and Electroceuticals.","authors":"Taesung Lee, Seeun Park, Seokhyun Lee, Areum Hwangbo, HanGyeol Bae, Yumin Lee, Hyung Jin Choi","doi":"10.7570/jomes25053","DOIUrl":"10.7570/jomes25053","url":null,"abstract":"<p><p>The global obesity epidemic can no longer be explained by personal choice or caloric excess alone. Mounting evidence points to underlying neurobehavioral dysfunction, exacerbated by environments engineered to promote overconsumption. Modern obesity is driven by five interrelated neurobehavioral factors: cue-evoked eating, habitual-context eating, food addiction, emotional eating, and restrained eating. These maladaptive eating patterns arise from a decoupling of homeostatic and hedonic brain circuits in an obesogenic environment. This review synthesizes evidence from neuroimaging, behavioral experiments, and animal studies to illustrate how each factor contributes to obesity risk and relapse after weight loss. We further discuss emerging interventions -including digital therapeutics (DTx) and electroceuticals-that target these drivers with increasing precision. DTx platforms deliver scalable, phenotype-informed interventions through cognitive-behavioral modules, real-time monitoring, and artificial intelligence-driven coaching. Electroceutical strategies, including non-invasive brain stimulation and vagus nerve modulation, show promise in reshaping dysfunctional circuits. Finally, we propose a neurobehavioral subtyping model to guide personalized obesity treatment, integrating brain-based phenotyping with multimodal interventions. This framework may offer a path toward sustained and mechanism-driven obesity care.</p>","PeriodicalId":45386,"journal":{"name":"Journal of Obesity & Metabolic Syndrome","volume":" ","pages":"196-212"},"PeriodicalIF":7.9,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12318707/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144700020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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