Obesity PillarsPub Date : 2025-03-01DOI: 10.1016/j.obpill.2024.100150
Harold Bays (Editor– in -Chief)
{"title":"Editorial: Exploring the nuances of obesity in Asian populations","authors":"Harold Bays (Editor– in -Chief)","doi":"10.1016/j.obpill.2024.100150","DOIUrl":"10.1016/j.obpill.2024.100150","url":null,"abstract":"","PeriodicalId":100977,"journal":{"name":"Obesity Pillars","volume":"13 ","pages":"Article 100150"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578230","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}
{"title":"Prevalence and association of MASLD in metabolically healthy young Asian Americans with obesity: A nationwide inpatient perspective (2019)","authors":"Ahmad Alhomaid , Sukhjinder Chauhan , Yamini Katamreddy , Avideep Sidhu , Praveena Sunkara , Rupak Desai","doi":"10.1016/j.obpill.2025.100168","DOIUrl":"10.1016/j.obpill.2025.100168","url":null,"abstract":"<div><h3>Background</h3><div>Metabolic dysfunction-associated steatotic liver disease (MASLD) is a leading cause of chronic liver disease worldwide. Although the epidemiology of MASLD and its association with metabolically healthy obesity (MHO) is well-studied in the United States, data for Asian Americans with MHO is limited. We sought to evaluate the association of MASLD in young Asian American patients with MHO.</div></div><div><h3>Methods</h3><div>This was a retrospective, matched cohort, database review of Asian American Individuals. After excluding adult hospitalizations with metabolic risk factors (hypertension, diabetes, or hyperlipidemia), we identified all National Inpatient Sample (2019) admissions with obesity (MHO) and MASLD using relevant ICD-10-CM codes. We matched (1:1) propensity scores for age, sex, household income, hospital location, and teaching status to obtain cohorts with and without obesity (MHO+) vs. (MHO-). Categorical and continuous data were compared using the Chi-square and Mann-Whitney U tests. The primary endpoint was the prevalence and adjusted multivariable odds/predictors of MASLD in (MHO+) vs. (MHO-) cohort.</div></div><div><h3>Results</h3><div>In the adjusted multivariate regression for demographics, and comorbidities, the (MHO+) cohort was associated with higher odds of admissions with MASLD (OR 4.07, 95%CI 2.02–8.19, p < 0.001). In addition, among the (MHO+) cohort, higher rates of MASLD-related hospitalizations were observed in males (OR 8.40, p < 0.001), females (OR 2.69, p = 0.025), high-income quartiles (OR 10.51, p < 0.001), no prior bariatric surgery (OR 4.07, p < 0.001), non-tobacco users(OR 4.16, p < 0.001), and non-hypothyroid patients (OR 4.00, p < 0.001) compared to the (MHO-) cohort. There was no statistically significant difference in the groups with low-income quartiles, tobacco use disorder, and hypothyroidism.</div></div><div><h3>Conclusion</h3><div>This nationwide analysis demonstrates that (MHO+) is associated with a higher prevalence of MASLD. In the (MHO+) cohort, there was an association of MASLD with sex, high-income quartile, no prior bariatric surgery, non-tobacco use, and non-hypothyroidism. Further prospective multicenter studies are needed to evaluate the association of MASLD in (MHO+) patients with comorbid conditions.</div></div>","PeriodicalId":100977,"journal":{"name":"Obesity Pillars","volume":"13 ","pages":"Article 100168"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512562","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}
Obesity PillarsPub Date : 2025-02-28DOI: 10.1016/j.obpill.2025.100171
Jennifer Glass , Sophie Carter , Esther Artime , Victoria Higgins , Lewis Harrison , Andrea Leith , David CW. Lau , Ian Patton , Jennifer L. Kuk
{"title":"Management and impact of obesity in Canada: A real-world survey of people with obesity and their physicians","authors":"Jennifer Glass , Sophie Carter , Esther Artime , Victoria Higgins , Lewis Harrison , Andrea Leith , David CW. Lau , Ian Patton , Jennifer L. Kuk","doi":"10.1016/j.obpill.2025.100171","DOIUrl":"10.1016/j.obpill.2025.100171","url":null,"abstract":"<div><h3>Background</h3><div>Obesity is a chronic relapsing disease associated with multiple complications. This study described real-world demographic/clinical characteristics, including obesity-related complications (ORCs), prescribing rationale, and patient-reported outcome measures (PROMs) for adults living with obesity in Canada accessing treatment.</div></div><div><h3>Methods</h3><div>This was a cross-sectional survey of physicians and consulting people with obesity (PwO) in Canada with retrospective data capture in a real-world setting. Canadian data were drawn between July and November 2022 from the multinational Adelphi Real World Obesity Disease Specific Programme™. Consulting PwO were required to be on a weight management program and/or have a current body mass index of ≥30 kg/m<sup>2</sup>. Physicians completed questionnaires for the next 3–5 consecutive PwO seen in their routine clinical practice. A quota was applied for obesity management medication (OMM). PROMs including Work Productivity and Activity Impairment (WPAI) questionnaire were provided voluntarily by PwO. Analyses were descriptive.</div></div><div><h3>Results</h3><div>Overall, 50 physicians (35 general practitioners, 15 endocrinologists) and 199 PwO were analyzed. More than 85 % of PwO had ≥1 ORC. The most common ORCs were hypertension, dyslipidemia, depression, and type 2 diabetes, and one-quarter to one-half of ORCs were not optimally controlled. Approximately two-thirds of the cohort were employed full-time, almost half had private insurance, and almost 70 % were classified as high socio-economic status. Mean number of weight-reduction attempts over the past 3 years was 2.9. Pharmacological treatment for obesity was common among those with ORCs. A general trend towards greater work impairment among people with ORCs than for PwO without ORCs was observed.</div></div><div><h3>Conclusions</h3><div>Among PwO participating in our study, ORCs were common, often uncontrolled, and their presence impacted the likelihood of obesity treatment and possibly impaired work productivity. Medical treatment for obesity was often delayed until ORCs developed, suggesting that preventative healthcare measures are not the norm for PwO in Canada. A large proportion of PwO had high socioeconomic status, suggesting that PwO who access treatment may not be representative of the overall population of PwO in Canada.</div></div>","PeriodicalId":100977,"journal":{"name":"Obesity Pillars","volume":"14 ","pages":"Article 100171"},"PeriodicalIF":0.0,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580057","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}
Obesity PillarsPub Date : 2025-02-26DOI: 10.1016/j.obpill.2025.100170
Ethan Lazarus
{"title":"Appropriate use of the fixed-dose, extended-release combination of naltrexone and bupropion as treatment for obesity in primary care","authors":"Ethan Lazarus","doi":"10.1016/j.obpill.2025.100170","DOIUrl":"10.1016/j.obpill.2025.100170","url":null,"abstract":"<div><h3>Background</h3><div>Obesity is considered a chronic disease and is influenced by biological, environmental, and behavioral factors that can contribute to its progression. Although lifestyle changes are integral to treating obesity and maintaining a healthful weight, weight reduction from behavioral intervention alone is often insufficient because neurophysiologic factors may work against such changes in lifestyle and behavior. Research suggests that the mechanisms underlying food cravings and obesity overlap with dopaminergic signaling in the brain and pathways involved in addiction. As a result, patients who are differentially impacted by food cravings may have better outcomes with treatments targeting neural systems implicated in both homeostatic and hedonic food consumption or addictive behaviors.</div></div><div><h3>Methods</h3><div>In this clinical review, we describe the safety and efficacy data for the fixed-dose, extended-release combination of naltrexone and bupropion (NB-ER) compared with its monotherapy constituents (naltrexone and bupropion), as well as discuss the appropriate use of NB-ER to treat patients with obesity.</div></div><div><h3>Results</h3><div>NB-ER is approved for the treatment of patients with obesity, with studies showing that patients can achieve significant weight reduction compared with placebo when treatment is combined with a reduced-calorie diet and increased physical activity. Across NB-ER phase 3 trials, responders to treatment had a mean body weight reduction of 11.7 % at 56 weeks. Of note, the unique combination of naltrexone, an opioid receptor antagonist, and bupropion, a norepinephrine-dopamine reuptake inhibitor associated with stimulating pro-opiomelanocortin cells (POMC), in NB-ER may work together to target POMC cells to prevent endogenous negative feedback, thereby decreasing appetite and improving weight-related outcomes.</div></div><div><h3>Conclusions</h3><div>Unlike monotherapy with its component drugs, NB-ER is optimized for the treatment of obesity. The appropriate use of NB-ER should consider the specific characteristics and adiposity-related complications of an individual.</div></div>","PeriodicalId":100977,"journal":{"name":"Obesity Pillars","volume":"14 ","pages":"Article 100170"},"PeriodicalIF":0.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593711","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}
Obesity PillarsPub Date : 2025-02-10DOI: 10.1016/j.obpill.2025.100167
Rupak Desai , Adhvithi Pingili , Arankesh Mahadevan , Vishal Reddy Bejugam , Hafeezuddin Ahmed , Vamsikalyan Borra , Adil Sarvar Mohammed , Gayatri Bondi , Shobana Krishnamurthy , Nithya Borra , Gurpreet Kaur , Rajesh Sachdeva , Timir Paul
{"title":"Impact of metabolically healthy obesity on post percutaneous coronary intervention outcomes in patients with acute myocardial infarction: A nationwide propensity matched analysis","authors":"Rupak Desai , Adhvithi Pingili , Arankesh Mahadevan , Vishal Reddy Bejugam , Hafeezuddin Ahmed , Vamsikalyan Borra , Adil Sarvar Mohammed , Gayatri Bondi , Shobana Krishnamurthy , Nithya Borra , Gurpreet Kaur , Rajesh Sachdeva , Timir Paul","doi":"10.1016/j.obpill.2025.100167","DOIUrl":"10.1016/j.obpill.2025.100167","url":null,"abstract":"<div><h3>Background</h3><div>Obesity paradox in post-percutaneous coronary intervention (PCI) outcomes among acute myocardial infarction (AMI) patients is a known controversy. However, these studies included patients who had diabetes, hypertension, or hyperlipidemia. We studied relationship between metabolically healthy obesity (MHO—without diabetes, hypertension, or hyperlipidemia) and in-hospital post-PCI outcomes among AMI patients.</div></div><div><h3>Methods</h3><div>We extracted data from National Inpatient Sample 2020 using International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes for admissions of AMI patients who underwent PCI. We then identified patients with diabetes, hypertension, and hyperlipidemia using Elixhauser comorbidity index and Clinical Classifications Software and excluded them. Then, using Elixhauser comorbidity index, we identified patients with and without obesity, defined as <strong>BMI > 30</strong> <strong>kg/m</strong><sup><strong>2</strong></sup> and propensity score matching was done for age and sex. Later, multivariable regression analysis was done for in-hospital post-PCI outcomes.</div></div><div><h3>Results</h3><div>Among 25605 metabolically healthy patients who had AMI and underwent PCI, 2825 had obesity, and 22780 didn't. After propensity score matching (PSM) for age and sex, both cohorts had 2795 patients each. There was no statistically significant difference in in-hospital all-cause mortality (adjusted odds ratio [OR] 1.14, 95 % confidence interval [CI] 0.63–2.10, p = 0.661), post-PCI stroke (aOR 1.17, 95 % CI 0.50–2.75, p = 0.714), acute kidney injury (aOR 1.20, 95 % CI 0.84–1.72, p = 0.322), post-PCI bleeding (aOR 1.04, 95 % CI 0.35 to 3.12, p = 0.940) and intra or post-PCI cardiac arrest (aOR 1.14, 95 % CI 0.30 to 4.42, p = 0.835) between both cohorts.</div></div><div><h3>Conclusions</h3><div>No statistically significant association was found between obesity and post-PCI outcomes in metabolically healthy patients with AMI. Larger studies are needed to explore the controversial “obesity paradox” in cardiovascular diseases.</div></div>","PeriodicalId":100977,"journal":{"name":"Obesity Pillars","volume":"14 ","pages":"Article 100167"},"PeriodicalIF":0.0,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681222","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}
Obesity PillarsPub Date : 2025-02-08DOI: 10.1016/j.obpill.2025.100166
Luisa Erika Milagros Vásquez-Romero , Fiorella E. Zuzunaga-Montoya , Joan A. Loayza-Castro , Enrique Vigil-Ventura , Willy Ramos , Víctor Juan Vera-Ponce
{"title":"Prevalence of obesity according to body mass index, waist circumference, and waist-to-height ratio in Peru: A systematic review and meta-analysis","authors":"Luisa Erika Milagros Vásquez-Romero , Fiorella E. Zuzunaga-Montoya , Joan A. Loayza-Castro , Enrique Vigil-Ventura , Willy Ramos , Víctor Juan Vera-Ponce","doi":"10.1016/j.obpill.2025.100166","DOIUrl":"10.1016/j.obpill.2025.100166","url":null,"abstract":"<div><h3>Introduction</h3><div>Obesity is a global public health epidemic with significant health implications. However, studies on the prevalence of obesity in Peru have yielded varied results, highlighting the need for updated data to inform effective public health policies.</div></div><div><h3>Objective</h3><div>The primary objective of this study is to determine the prevalence of obesity in Peru using three anthropometric measures: body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR).</div></div><div><h3>Methods</h3><div>Between March and April 2024, a systematic review of published studies reporting the prevalence of obesity in Peru was conducted. The databases Scopus, Web of Science, Embase, PubMed, LILACS, and Scielo were Searched.</div></div><div><h3>Results</h3><div>Overall, the prevalence of obesity was 23.23 %, 38.90 %, and 81.53 % according to BMI, WC, and WHtR, respectively. However, these figures show wide variability, ranging from 13.10 % to 37.4 % according to BMI and from 19.4 % to 51.6 % according to WC. The highest reported prevalence of obesity by WHtR was 85.4 %. Nonetheless, only a fraction of these studies were published in the last five years, and few specifically focused on obesity as the primary objective.</div></div><div><h3>Conclusions</h3><div>The prevalence of obesity in Peru varies significantly depending on the anthropometric measure used. To improve the collection and frequency of data on obesity in Peru, it is recommended that cut-off points be standardized to be suitable for the country and that annual national surveys specifically designed for this purpose be implemented.</div></div>","PeriodicalId":100977,"journal":{"name":"Obesity Pillars","volume":"13 ","pages":"Article 100166"},"PeriodicalIF":0.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379457","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}
Obesity PillarsPub Date : 2025-02-07DOI: 10.1016/j.obpill.2025.100165
Alina Arseniev-Koehler , Ming Tai-Seale , Crystal W. Cené , Eduardo Grunvald , Amy Sitapati
{"title":"Leveraging diagnosis and biometric data from the All of Us Research Program to uncover disparities in obesity diagnosis","authors":"Alina Arseniev-Koehler , Ming Tai-Seale , Crystal W. Cené , Eduardo Grunvald , Amy Sitapati","doi":"10.1016/j.obpill.2025.100165","DOIUrl":"10.1016/j.obpill.2025.100165","url":null,"abstract":"<div><h3>Background</h3><div>Despite extensive efforts to standardize definitions of obesity, clinical practices of diagnosing obesity vary widely. This study examined (1) discrepancies between biometric body mass index (BMI) measures of obesity and documented diagnoses of obesity in patient electronic health records (EHRs) and (2) how these discrepancies vary by patient gender and race and ethnicity from an intersectional lens.</div></div><div><h3>Methods</h3><div>Observational study of 383,380 participants in the National Institutes of Health <em>All of Us</em> Research Program dataset.</div></div><div><h3>Results</h3><div>Over half (60 %) of participants with a BMI indicating obesity had no clinical diagnosis of obesity in their EHRs. Adjusting for BMI, comorbidities, and other covariates, women's adjusted odds of diagnosis were far higher than men's (95 % confidence interval 1.66–1.75). However, the gender gap between women's and men's likelihood of diagnosis varied widely across racial groups. Overall, Non-Hispanic (NH) Black women and Hispanic women were the most likely to be diagnosed and NH-Asian men were the least likely to be diagnosed.</div></div><div><h3>Conclusion</h3><div>Men, and particularly NH-Asian men, may be at heightened risk of underdiagnosis of obesity. Women, and especially Hispanic and NH-Black women, may be at heightened risk of unanticipated harms of obesity diagnosis, including stigma and competing demand with other health concerns. Leveraging diagnosis and biometric data from this unique public domain dataset from the All of Us project, this study revealed pervasive disparities in diagnostic attribution by gender, race, and ethnicity.</div></div>","PeriodicalId":100977,"journal":{"name":"Obesity Pillars","volume":"13 ","pages":"Article 100165"},"PeriodicalIF":0.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419812","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}
Obesity PillarsPub Date : 2025-02-01DOI: 10.1016/j.obpill.2025.100164
Jennifer Panganiban , Mohit Kehar , Samar H. Ibrahim , Phillipp Hartmann , Shilpa Sood , Sara Hassan , Charina M Ramirez , Rohit Kohli , Marisa Censani , Erin Mauney , Suzanne Cuda , Sara Karjoo
{"title":"Metabolic dysfunction-associated steatotic liver disease (MASLD) in children with obesity: An Obesity Medicine Association (OMA) and expert joint perspective 2025","authors":"Jennifer Panganiban , Mohit Kehar , Samar H. Ibrahim , Phillipp Hartmann , Shilpa Sood , Sara Hassan , Charina M Ramirez , Rohit Kohli , Marisa Censani , Erin Mauney , Suzanne Cuda , Sara Karjoo","doi":"10.1016/j.obpill.2025.100164","DOIUrl":"10.1016/j.obpill.2025.100164","url":null,"abstract":"<div><h3>Introduction</h3><div>This Obesity Medicine Association (OMA) Expert Joint Perspective examines steatotic liver disease (SLD), which is composed of metabolic dysfunction-associated steatotic liver disease (MASLD), and metabolic dysfunction-associated steatohepatitis (MASH) in children with obesity. The prevalence of obesity is increasing, rates have tripled since 1963 from 5 % to now 19 % of US children affected in 2018. MASLD, is the most common liver disease seen in children, can be a precursor to the development of Type 2 Diabetes (T2DM) and is the primary reason for liver transplant listing in young adults. We must be vigilant in prevention and treatment of MASLD in childhood to prevent further progression.</div></div><div><h3>Methods</h3><div>This joint clinical perspective is based upon scientific evidence, peer and clinical expertise. The medical literature was reviewed via PubMed search and appropriate articles were included in this review. This work was formulated from the collaboration of eight hepatologists/gastroenterologists with MASLD expertise and two physicians from the OMA.</div></div><div><h3>Results</h3><div>The authors who are experts in the field, determined sentinel questions often asked by clinicians regarding MASLD in children with obesity. They created a consensus and clinical guideline for clinicians on the screening, diagnosis, and treatment of MASLD associated with obesity in children.</div></div><div><h3>Conclusions</h3><div>Obesity and the comorbidity of MASLD is increasing in children, and this is a medical problem that needs to be addressed urgently. It is well known that children with metabolic associated chronic disease often continue to have these chronic diseases as adults, which leads to reduced life expectancy, quality of life, and increasing healthcare needs and financial burden. The authors of this paper recommend healthy weight reduction not only through lifestyle modification but through obesity pharmacotherapy and bariatric surgery. Therefore, this guidance reviews available therapies to achieve healthy weight reduction and reverse MASLD to prevent progressive liver fibrosis, and metabolic disease.</div></div>","PeriodicalId":100977,"journal":{"name":"Obesity Pillars","volume":"14 ","pages":"Article 100164"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143714741","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}
Obesity PillarsPub Date : 2025-01-31DOI: 10.1016/j.obpill.2025.100163
H.E. Bays , J.D. Ard , P.M. O'Neil , T.A. Wadden , R.F. Kushner , J.M. Jakicic , H.R. Wyatt , F.L. Greenway , M. Kamar , E. Ganon-Elazar , L. Cohen Asaraf , D.H. Ryan
{"title":"Weight and cardiometabolic effects of a novel oral shape-shifting superabsorbent hydrogel capsule: Prespecified and exploratory analysis of the Epitomee capsule RESET study","authors":"H.E. Bays , J.D. Ard , P.M. O'Neil , T.A. Wadden , R.F. Kushner , J.M. Jakicic , H.R. Wyatt , F.L. Greenway , M. Kamar , E. Ganon-Elazar , L. Cohen Asaraf , D.H. Ryan","doi":"10.1016/j.obpill.2025.100163","DOIUrl":"10.1016/j.obpill.2025.100163","url":null,"abstract":"<div><h3>Background</h3><div>Management of obesity potentially improves cardiometabolic risk factors in patients with metabolic syndrome (MetS). The Epitomee capsule is a non-pharmacological, biodegradable device treatment for weight reduction in patients with overweight and obesity.</div></div><div><h3>Methods</h3><div>This secondary analysis of the Randomized Evaluation of Safety and Efficacy of the Epitomee capsule Trial (RESET) (a randomized, 24-week, multicenter, placebo-controlled, double-blind trial that enrolled 279 adults aged ≥18 years with a BMI of 27–40 kg/m2) evaluated changes in cardiometabolic parameters in participants treated with Epitomee or placebo combined with lifestyle counseling among (a) the entire RESET study population, and (b) participants meeting diagnostic criteria for prediabetes. Predefined and exploratory endpoints included changes in waist circumference, glycemic parameters, blood pressure, and lipid blood levels; this analysis also assessed percent weight loss in participants with MetS.</div></div><div><h3>Results</h3><div>Waist circumference, systolic and diastolic blood pressure and some measures of glycemia and lipids, improved with both Epitomee and placebo with no significant differences. Participants with prediabetes treated with Epitomee showed significantly greater reductions in HOMA-IR (p < 0.007) and insulin levels (p < 0.003) than the placebo group. Participants with MetS at baseline experienced significantly greater percent change in initial weight when treated with the Epitomee capsule (n = 27) compared to placebo (n = 31), −8.3% vs −5.2 %, respectively (p < 0.0004). Similar percentages of participants with MetS in both groups achieved ≥5 % weight reduction (59.3 % and 54.8 %, in Epitomee and placebo groups respectively). Significantly more participants with MetS treated with Epitomee achieved ≥10 % weight reduction compared with those treated with placebo (40.7 % vs. 6.5 %, respectively, p < 0.002).</div></div><div><h3>Conclusion</h3><div>Treatment with either Epitomee and placebo combined with lifestyle improve cardiometabolic risk factors. Compared to placebo, Epitomee significantly reduced HOMA-IR and insulin levels in participants with prediabetes. Among participants with MetS, Epitomee significantly reduced body weight <span><span>[ClinicalTrials.gov</span><svg><path></path></svg></span> ID NCT04222322].</div></div>","PeriodicalId":100977,"journal":{"name":"Obesity Pillars","volume":"13 ","pages":"Article 100163"},"PeriodicalIF":0.0,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143388251","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}
Obesity PillarsPub Date : 2025-01-30DOI: 10.1016/j.obpill.2025.100162
Haoyang Guo , Juan Yang , Jihan Huang , Ling Xu , Yinghua Lv , Yexuan Wang , Jiyuan Ren , Yulin Feng , Qingshan Zheng , Lujin Li
{"title":"Comparative efficacy and safety of GLP-1 receptor agonists for weight reduction: A model-based meta-analysis of placebo-controlled trials","authors":"Haoyang Guo , Juan Yang , Jihan Huang , Ling Xu , Yinghua Lv , Yexuan Wang , Jiyuan Ren , Yulin Feng , Qingshan Zheng , Lujin Li","doi":"10.1016/j.obpill.2025.100162","DOIUrl":"10.1016/j.obpill.2025.100162","url":null,"abstract":"<div><h3>Aim</h3><div>Obesity is a global epidemic. The FDA has approved glucagon-like peptide-1 (GLP-1) receptor agonists such as Liraglutide, Semaglutide, and the GLP-1/gastric inhibitory polypeptide (GIP) dual agonist Tirzepatide for the treatment of obesity. Clinical trials of GLP-1/GIP/glucagon(GCG) triple agonists are ongoing. This study compared the efficacy and safety profiles of different GLP-1 receptor agonists (GLP-1RAs) for weight reduction and explored the related influencing factors, providing quantitative information for the development of GLP-1RAs and their clinical use.</div></div><div><h3>Methods</h3><div>This systematic review of public databases included placebo-controlled randomized clinical trials of GLP-1RAs. Time-course, dose-response, and covariate models were used to describe the efficacy characteristics and influencing factors of different GLP-1RAs. Subgroup analyses were performed to explore efficacy differences in receptor specificity. Meta-analyses compared the incidence of adverse event and dropout rates among different GLP-1RAs.</div></div><div><h3>Results</h3><div>Fifty-five studies involving 16,269 participants and 12 GLP-1RAs were included. Six drugs showed significant dose-response relationships. The maximum weight reduction effect ranged from 4.25 kg (Liraglutide) to 22.6 kg (Retatrutide). Reported onset times ranged from 6.4 weeks (Orforglipron) to 19.5 weeks (Tirzepatide). At 52 weeks, weight reduction effects were 7.03 kg, 11.07 kg, and 24.15 kg for mono-agonists, dual-agonists, and tri-agonists, respectively. There was a significant negative correlation in the exponential pattern between age and weight reduction effect, whereas baseline weight and BMI had no significant impact. Common adverse events of GLP-1RAs, reported in the literature include nausea, vomiting, diarrhea, and constipation, with a significantly higher incidence of nausea than that of placebo.</div></div><div><h3>Conclusions</h3><div>This study provides a quantitative evaluation of the efficacy and safety of GLP-1RAs and offers valuable insights into the assessment of new drugs for weight reduction.</div></div>","PeriodicalId":100977,"journal":{"name":"Obesity Pillars","volume":"13 ","pages":"Article 100162"},"PeriodicalIF":0.0,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152473","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}