Acosta, Andrés

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.

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.

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 Disclosure: R.D. Rivera Gutierrez: None. D. Bechenati: None. R. Castaneda: None. M.A. Espinosa: None. J.L. Villamarin: None. E. Tama: None. J.L. Meek: None. T.M. Taaffe: None. P.K. Bennett: None. A.J. Acosta: Novo Nordisk, Gila Therapeutics, Rhythm Pharmaceuticals, Amgen Inc, General Mills, Regeneron Pharmaceuticals, Boehringer Ingelheim, Currax, Nestle, Phenomix Sciences, Busch Health, RareDiseases, National Institute of Health, Vivus Pharmaceuticals, Apollo Endosurgery, Satiogen Pharmaceuticals, Spatz Medical. S. Faubion: Era Women’s Health Platform, PriMed, AiCME, MedAll, Medscape, Weight Watchers. C. Shufelt: Bayer Advisory Board. M.D. Hurtado: Novo Nordisk, National Institute of Health, Phenomix Sciences. Background: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have demonstrated cardiovascular (CV) benefits. Tirzepatide (TZP), a dual GLP-1 and gastric inhibitory polypeptide (GIP) receptor agonist approved for weight management and glycemic control, currently lacks evidence on CV outcomes. This study evaluates TZP’s impact on cardiometabolic parameters and atherosclerotic cardiovascular disease (ASCVD) risk scores. Methods: We conducted a multicenter retrospective study of adults prescribed TZP from June 1, 2022, to November 1, 2024. Inclusion criteria included 12 months of TZP use and age &gt;18 years. Exclusion criteria were pregnancy, active malignancy, concurrent FDA-approved antiobesity medications, and prior bariatric surgery. Endpoints included changes in blood pressure, lipid profiles, liver enzymes, glucose control parameters, medication use (statins, aspirin, antihypertensives), and ASCVD risk scores from baseline to 12 months, stratified by sex. Data were obtained from electronic medical records. We present data as mean differences [95% CI]. We used T-tests and multivariate regression analyses for analyses. Results: Among 831 participants (59.4% female; 91.2% White; mean age: 58 ± 12 years), 12-month weight loss was -12% [-13, -11], p&lt;0.001. We observed significant improvement in systolic blood pressure (SBP) (-4 [-5, -3] mmHg, p&lt;0.001), triglycerides (TG) (-38 [-52, -23] mg/dL, p&lt;0.001), total cholesterol (TC) (-7 [-10, -4] mg/dL, p&lt;0.001), LDL cholesterol (LDL) (-6 [-9, -4] mg/dL, p&lt;0.001), fasting glucose (FG) (-39 [-48, -29] mg/dL, p&lt;0.001), ALT (-10 [-15, -5] U/L, p&lt;0.001), HbA1c (-1.3% [-1.5, -1.2], p&lt;0.001), and HDL cholesterol (HDL) (+4 [+3, +5] mg/dL, p&lt;0.001). The Lifetime and 10-year ASCVD scores did not significantly change after 12 months (p&gt;0.05), underscoring TZP’s potential in mitigating the aging-associated increase in CV risk. Considering sex, females had greater weight loss (-13% [-14, -12] vs. -10% [-11, -9], p&lt;0.001), and greater improvements in TC (-5% [-8, -2] vs -3% [-6, 0.1], p&lt;0.001) and LDL (-10% [-14, -6] vs -4% [-8, 1], p&lt;0.001). Males had a greater reduction in DBP (-2% [-4, -1] vs (-1% [-6, 3], p=0.006). Both males and females demonstrated similar improvements in FG and HbA1c. Conclusion: TZP significantly improved CV and metabolic parameters after 12 months, with greater benefits observed in females. These improvements effectively mitigated the age-related rise in ASCVD risk scores. Larger, prospective studies are warranted to confirm these findings and further investigate TZP’s long-term CV effects. Presentation: Monday, July 14, 2025

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.

Objective: To develop and validate 2 predictive models, the Diabetes Remission Index (DRI) and the Weight loss–adjusted DRI (W-DRI), for assessing type 2 diabetes (T2D) remission following metabolic and bariatric surgery (MBS). Background: MBS, including Roux-en-Y gastric bypass and sleeve gastrectomy, is highly effective in achieving T2D remission, but outcomes vary across populations. Predicting remission remains critical for individualized patient care and optimizing surgical outcomes. Existing tools focus on general outcomes, and a specific model incorporating weight loss data has been lacking. Methods: This multicenter, retrospective cohort study included patients with T2D and overweight/obesity (body mass index: ≥27 kg/m 2 ) who underwent Roux-en-Y gastric bypass or sleeve gastrectomy between 2008 and 2018. Institution 1 (I-1) data (n = 503) were used to develop and internally validate the models, whereas Institution 2 (I-2) data (n = 409) were used for external validation. The DRI model incorporated preoperative variables, and the W-DRI model, in addition, included postsurgical weight loss. Predictive accuracy was assessed using area under the Receiver Operating Characteristic curve [area under the curve (AUC)], calibration plots, and stratified analyses. Results: In I-1, 44.7% of patients achieved T2D remission, with a DRI model AUC of 0.80. In I-2, 52.6% achieved remission, with a model AUC of 0.78. Incorporating weight loss improved W-DRI predictive accuracy (AUC: 0.82 in I-1, 0.79 in I-2). Calibration plots demonstrated strong agreement between predicted and observed remission rates. An online DRI and W-DRI calculator is available through the Mayo Clinic webpage (https://newsnetwork.mayoclinic.org/dri-calculator/). Conclusions: The DRI and W-DRI models accurately predict T2D remission post-MBS, enabling personalized patient care and informed decision-making. Further validation across diverse populations is warranted.

Abstract Disclosure: M.D. Hurtado: None. E. Tama: None. D. Hodge: None. A. Weston: None. S. Fahad: None. K. Ruddy: None. J. Olson: None. F. Coach: None. R. Carter: None. S. D'Andre: None. A. Acosta: Consulting Fee; Self; Amgen Inc. Grant Recipient; Self; Vivus USA, Novo Nordisk. C. Shufelt: None. Background: Breast cancer (BC) is the most common cancer in women. Weight gain after treatment for early-stage BC is associated with a higher risk of recurrence. Excess adiposity is also a major risk factor for cardiovascular disease, the leading cause of non-BC related death in BC survivors. This study aimed to describe weight trends in a large cohort of BC survivors and to identify predictors of weight gain after BC diagnosis. Methods: This was a retrospective study of BC survivors from the prospectively consented Mayo Clinic Breast Cancer Registry, which has enrolled &gt;10,000 patients seen at least once at Mayo Clinic Rochester for a BC diagnosed within the prior year. We extracted data on weights at baseline, and years 1, 4, and 6 after BC diagnosis to generate longitudinal weight trajectory curves on the change from baseline. Weights were either reported by patients in the registry questionnaires or extracted from the electronic health records. We identified BC survivors with weight gain &gt;10% from baseline weight at years 1, 4, and 6. We then conducted univariable logistic regression analyses to identify predictors of &gt;10% weight gain. Variables considered included: demographics, anthropometrics, BC clinical and pathologic characteristics, BRCA 1 and 2 genetic mutation status, and treatment (surgery, neoadjuvant or adjuvant chemotherapy, and/or radiotherapy). Results: We included 4744 BC survivors, mostly white (95%) and non-Hispanic (91%), with a mean age and weight at BC diagnosis of 58 ± 13 years and 76 ± 18 kg. Most patients had clinical stage I (43%) and ER+ and PR+ BC (83% and 76%, respectively). Most patients underwent breast preserving surgery (62%), half received radiation (54%), one third (36%) received systemic chemotherapy, and two thirds (61%) received endocrine therapy. At one year after BC diagnosis the average weight change was negligible compared to baseline (mean difference -0.2 ± 8 kg), but there were small but significant average increases by years 4 and 6 (0.5 ± 9 kg, p=0.002; and 0.8 ± 10 kg, p&lt;0.001; respectively). At years 1, 4, and 6, the percentage of BC survivors gaining &gt;10% of their baseline weight was 10%, 15%, and 18%, respectively. Baseline characteristics associated with &gt;10% weight gain at 6 years included lower baseline weight (p&lt;0.001), younger age at BC diagnosis (p&lt;0.001), more advanced clinical and pathologic BC stage (p=0.008), ER+ and PR+ tumor biology (p=0.02 for both), BRCA2 mutation (p&lt;0.001), mastectomy (compared to breast preserving surgeries, p=0.008), the use of systemic chemotherapy treatment (p&lt;0.001), and the use of endocrine therapy (p=0.03). Conclusion: While most BC survivors do not experience weight gain after survivorship, 1 out 5 may experience excessive weight gain of more than 10%. Baseline anthropometric and BC-related variables are associated with excessive weight gain and could be used as predictors of weight gain in this population. Presentation: 6/3/2024