Acosta, Andres

Abstract Purpose To evaluate the association of long-term, continuous tirzepatide use with cardiometabolic risk parameters and estimated 10-year atherosclerotic cardiovascular disease (ASCVD) risk in real-world practice. Methods This multicenter retrospective observational study included 1,028 adults with overweight or obesity who received weekly subcutaneous tirzepatide for at least 12 months within the Mayo Clinic Health System from June 2022 through May 2024. ASCVD risk analyses included 275 individuals with complete baseline and 12-month follow-up data. Outcomes were changes in cardiometabolic parameters, estimated 10-year ASCVD risk, and ASCVD risk category. Results At 12 months, median total body weight loss (TBWL) was 12.6%. Fasting glucose, HbA1c, triglycerides, and alanine aminotransferase decreased by 19.5%, 16.0%, 8.5%, and 10.6%, respectively, whereas HDL cholesterol increased by 11.3% (all P < .001). Mean 10-year ASCVD risk did not change significantly overall (mean relative change, −3.7%; P = .18), but changes differed by TBWL category (ANOVA, P < .001). ASCVD risk decreased among individuals achieving 10%–20% TBWL (−9.6%; P = .009) and >20% TBWL (−14.2%; P = .005), but not among those achieving <10% TBWL (+7.7%; P = .22). Low-risk prevalence increased from 38.3% to 46.4% (P < .001), with 11.7% transitioning from higher-risk categories to low risk. Main findings Continuous tirzepatide use for at least 12 months was associated with clinically meaningful improvements in cardiometabolic parameters. Reductions in estimated 10-year ASCVD risk were observed among individuals achieving at least 10% TBWL, supporting greater weight loss as an important marker of cardiovascular risk improvement.

ABSTRACT Objective This study assessed the impact of sex and age on weight loss outcomes in patients receiving tirzepatide in real‐world clinical practice. Methods We conducted a retrospective cohort study of adults with overweight or obesity who initiated tirzepatide at Mayo Clinic between June 2022 and May 2024 and completed ≥ 12 months of continuous therapy. Primary outcome was total body weight loss percentage (TBWL%) at 15 months, stratified by sex and age groups (≤ 45, 46–59, ≥ 60 years). Results Among 1039 patients (57% women; mean age 56 ± 11 years), women achieved significantly greater TBWL% than men after 15 months of treatment (15.1% vs. 10.7%, p < 0.001). Patients aged ≤ 45 years had greater weight loss than those ≥ 60 years (15.1% vs. 12.3%, p = 0.024). In multivariable analyses, greater weight loss was independently associated with female sex, absence of type 2 diabetes, no prior obesity medication use, no concomitant weight gain‐promoting medications, and higher tirzepatide dosage. Age was not an independent predictor. Conclusions Sex, but not age, predicted weight loss with tirzepatide among individuals using the medication continuously for ≥ 12 months. These findings underscore the importance of incorporating sex‐specific considerations into personalized obesity treatment strategies.

Objective: To compare 1-year changes in estimated 10-year and lifetime atherosclerotic cardiovascular disease (ASCVD) risk following metabolic and bariatric surgery (MBS) versus glucagon-like peptide-1 receptor agonist (GLP-1RA) therapy among adults with obesity. Summary Background Data: Obesity is a major driver of ASCVD through adverse metabolic and inflammatory pathways. Metabolic and bariatric surgery and GLP-1 receptor agonists represent the most effective contemporary treatments for obesity and are increasingly used to mitigate cardiovascular risk. However, their comparative effects on integrated short-term and lifetime ASCVD risk in real-world clinical practice remain incompletely characterized. Methods: We conducted a retrospective cohort study of adults with obesity (body mass index ≥30 kg/m²) who underwent MBS or initiated GLP-1RA therapy between 2020 and 2023 within a large tertiary health care system in the United States. Participants were identified from electronic health records and followed for 12 months. Primary outcomes were 1-year changes in estimated 10-year and lifetime ASCVD risk. Secondary outcomes included percent total body weight loss, blood pressure, and lipid parameters. Multivariable linear regression models were used to adjust for baseline body mass index and baseline ASCVD risk. Results: The final cohort included 812 patients, of whom 579 underwent MBS and 233 initiated GLP-1RA therapy. At baseline, patients receiving GLP-1RAs were older and had higher estimated ASCVD risk. At 1 year, reductions in 10-year ASCVD risk were similar between groups (−0.8% vs. −1.1%; P =.36). In contrast, lifetime ASCVD risk decreased significantly more following MBS than GLP-1RA therapy (−8.6% vs. −1.7%; P <.001). MBS was associated with greater percent total body weight loss (−27.8% vs. −11.1%; P <.001) and more favorable lipid changes, including larger reductions in low-density lipoprotein cholesterol and greater increases in high-density lipoprotein cholesterol. After adjustment, MBS remained independently associated with a greater reduction in lifetime ASCVD risk compared with GLP-1RA therapy (β −6.92; 95% CI −9.22 to −4.62). Conclusions: In this real-world cohort, both MBS and GLP-1RA therapy were associated with improvements in estimated cardiovascular risk, but MBS conferred substantially greater reductions in lifetime ASCVD risk, accompanied by superior weight loss and lipid improvements. These findings highlight the complementary roles of surgical and pharmacologic therapies in obesity management and may inform strategies to optimize long-term cardiovascular risk reduction.

ABSTRACT Metabolic dysfunction‐associated steatotic liver disease (MASLD) represents a key hepatic manifestation of obesity and systemic metabolic dysfunction and is a leading cause of chronic liver disease worldwide. Obesity‐driven mechanisms, including adipose tissue dysfunction, insulin resistance and increased free fatty acid flux to the liver, promote ectopic lipid accumulation and lipotoxic injury. These processes trigger mitochondrial and endoplasmic reticulum stress, inflammation, immune activation and disturbances in the gut–liver axis, driving disease progression from simple steatosis to metabolic dysfunction–associated steatohepatitis, fibrosis and cirrhosis. MASLD is a highly heterogeneous condition, with differences in fat distribution, body composition and genetic susceptibility giving rise to distinct clinical phenotypes, including lean and non‐lean MASLD, which have important implications for disease risk, progression and therapeutic response. Clinical outcomes are determined primarily by fibrosis stage, which represents the strongest predictor of liver‐related and all‐cause mortality, underscoring the importance of early disease recognition and risk stratification. Therapeutic strategies, therefore, increasingly target upstream metabolic drivers rather than hepatic steatosis alone. Lifestyle interventions remain foundational but are often limited by challenges in long‐term adherence. Pharmacologic therapies, particularly incretin‐based agents such as glucagon‐like peptide‐1 receptor agonists and dual incretin agonists, as well as bariatric and endoscopic metabolic procedures, have demonstrated substantial metabolic and hepatic benefits. Recognition of disease heterogeneity supports phenotype‐guided approaches that integrate metabolic risk, adiposity, body composition and fibrosis assessment to personalise treatment strategies and improve long‐term outcomes across the MASLD spectrum.

ABSTRACT Objective This study compared the effects of phentermine‐topiramate‐ER (mid‐dose 7.5/46 mg) versus placebo on weight loss and cardiovascular disease (CVD) risk outcomes when used as an adjunct to a digitally enhanced lifestyle intervention (DELI). Methods We conducted a 12‐month, randomized, double‐blind, placebo‐controlled trial at a single tertiary academic center in the United States (June 2020–June 2022). Eighty participants with obesity (BMI ≥ 30 kg/m 2 ) were enrolled in the DELI program, consisting of in‐person and telehealth modalities, dietary and physical activity goals, and use of a smartphone application integrated with digital devices (Apple Watch and Bluetooth‐enabled weight scale and blood pressure monitor). Participants were randomized 1:1 to receive either phentermine‐topiramate‐ER ( n = 42) or placebo ( n = 38) in addition to the DELI. Results At 3 months, the phentermine‐topiramate group lost a mean of 10.82 kg versus 4.04 kg in the placebo group (mean difference −6.78 kg; p = 0.002). At 12 months, weight loss was 15.32 kg versus 5.85 kg, respectively (mean difference −9.48 kg; p < 0.001). Participants receiving phentermine‐topiramate‐ER experienced a 3.35% reduction in the estimated atherosclerotic CVD risk compared to baseline ( p = 0.004). Conclusions Phentermine‐topiramate‐ER, when combined with a DELI, produced significant and sustained weight loss and reduced CVD risk in adults with obesity. Trial Registration ClinicalTrials.gov : NCT04408586

Pediatric obesity is an increasingly prevalent, chronic, and multifactorial disease. Achieving successful and sustained weight reduction with current interventions remains challenging due to significant heterogeneity in treatment response. This review summarizes current evidence describing variability in outcomes across lifestyle, pharmacologic, and metabolic/bariatric surgery interventions in children and adolescents, and examines key biological, metabolic, behavioral, environmental, and psychosocial factors that influence response. In adults, recent findings on energy balance obesity phenotypes (characterized by abnormal satiation, abnormal postprandial satiety, abnormal hedonic eating, and reduced energy expenditure) have demonstrated promise in predicting weight loss outcomes and guiding tailored interventions. However, data on obesity phenotyping within children and adolescents remain limited. Addressing this gap is essential for advancing precision medicine approaches in pediatric obesity, with the potential to improve treatment selection, enhance effectiveness, and optimize long-term clinical outcomes.

Background/Objectives: Individuals with type 2 diabetes (T2D) achieve less total body weight loss (TBWL) with obesity medications compared to those without T2D. The individualized metabolic surgery (IMS) score, originally developed to predict T2D remission after bariatric surgery, inversely correlates with TBWL response to semaglutide. IMS reflects T2D severity, incorporating HbA1c and T2D duration and medication use. This study aims to evaluate TBWL with tirzepatide across IMS severity categories and identify predictors of response in a real-world cohort. Methods: This retrospective analysis included 717 adults with T2D using tirzepatide for overweight or obesity within the Mayo Clinic Health System. Patients were stratified by IMS severity (mild, moderate, severe) and quartiles. Primary endpoint: TBWL% at 15 months. Secondary endpoints: categorical thresholds (≥5%, ≥10%, ≥15%, ≥20%) and predictors of TBWL%. Linear mixed-effects models and regression models were employed. Results: At 15 months, TBWL was greater in mild versus severe IMS groups (14.8% vs. 11.0%, p = 0.015), with similar trends across quartiles. The proportion achieving ≥ 20% TBWL was nearly two-fold higher in mild versus severe IMS (27% vs. 14%, p = 0.03). Female sex independently predicted greater TBWL, whereas insulin use, higher T2D medication burden (particularly weight-promoting agents), and HbA1c > 7% were associated with less TBWL. Conclusions: Tirzepatide produced clinically meaningful TBWL across all IMS categories, although TBWL declined with increasing IMS severity. Glycemic control and T2D medication use emerged as strong predictors of TBWL. The IMS score may serve as a practical tool to anticipate weight-loss trajectories, guide personalized treatment decisions, and inform patient counseling.

ABSTRACT Precision medicine approaches have gained attention for their potential to more effectively manage obesity by tailoring diagnosis and treatment strategies to individual characteristics, including genetic background, phenotypes, metabolic profiles, and environmental exposures. The current review evaluates the evidence for precision medicine in weight management by summarizing the proceedings of a Pennington Biomedical Scientific Symposium titled “Precision Prevention, Diagnostics, and Treatment of Obesity: Pipedream or Reality?” This review discusses the extent to which we can classify and predict obesity risk based on individual‐level factors; whether we have the diagnostic capability to prospectively identify people who will benefit most from specific interventions; whether prospective trials demonstrate superior prevention and treatment of obesity when precision approaches are applied; and whether evidence is sufficient to guide policy decisions. Expert opinions were presented on the current evidence of precision medicine for obesity to collectively evaluate key barriers and opportunities for implementation of precision approaches in clinical and public health settings.

Abstract Obesity is a chronic, heterogeneous, and complex disease associated with increased morbidity, mortality, and health-care costs. By 2030, 1 in 2 people in the United States will have obesity. Lifestyle interventions are the cornerstone of obesity management. However, they often fail to achieve clinically significant weight loss, necessitating additional treatments involving pharmacotherapy or procedures. Advancements in obesity pharmacotherapy have improved weight-loss outcomes and reduced associated comorbidities. Despite these advances, variability in response to treatment between individuals is still considerable. This variability reflects limitations in the current “one-size-fits-all” approach to obesity management. A precision medicine approach aims to address this gap by incorporating genetic, physiological, and behavioral characteristics to guide treatment selection and improve outcomes. Advances in multi-omics technologies, such as genomics, proteomics, metabolomics, and microbiome profiling, offer new opportunities to refine patient stratification and identify novel therapeutic targets. These tools may help move obesity care toward a more individualized and mechanism-based approach.

Abstract Satiation is the physiologic process that regulates meal size and termination, and it is quantified by the calories consumed to reach satiation. Given its role in energy intake, changes in satiation contribute to obesity's pathogenesis. Our study employed a protocolized approach to study the components of food intake regulation including a standardized breakfast, a gastric emptying study, appetite sensation testing, and a satiation measurement by an ad libitummeal test. These studies revealed that satiation is highly variable among individuals, and while baseline characteristics, anthropometrics, body composition and hormones, contribute to this variability, these factors do not fully account for it. To address this gap, we explored the role of a germline polygenic risk score, which demonstrated a robust association with satiation. Furthermore, we developed a machine-learning-assisted gene risk score to predict satiation and leveraged this prediction to anticipate responses to anti-obesity medications. Our findings underscore the significance of satiation, its inherent variability, and the potential of a genetic risk score to forecast it, ultimately allowing us to predict responses to different anti-obesity interventions.