Anazco, Diego

Background/Objectives: A 12-week trial demonstrated that phenotype-tailored lifestyle intervention (PLI) was associated with greater weight loss than standard lifestyle intervention (SLI); however, differences in dietary patterns between groups were not examined. Methods: This secondary analysis evaluated caloric and macronutrient intake at 12 weeks in adults with obesity (BMI ≥ 30 kg/m2), classified into four energy-balance phenotypes (abnormal satiation, reduced postprandial satiety, low energy expenditure, emotional eating) (n = 77) who underwent PLI or SLI. Dietary intake was assessed by 24-h recalls and verified by a blinded registered dietitian. Results: Groups were compared at 12 weeks adjusting for baseline values. PLI was associated with lower total energy intake than SLI (1273 ± 182 vs. 1894 ± 176 kcal/day; p = 0.018), due to lower carbohydrate (464 ± 76 vs. 818 ± 73 kcal/day; p = 0.002) and fat intake (479 ± 76 vs. 697 ± 73 kcal/day; p = 0.036); absolute protein intake did not differ. However, protein comprised a greater proportion of energy intake in PLI (26.8 ± 1.6%) than SLI (19.8 ± 1.5%; p = 0.003), and dairy protein contributed more to total energy in PLI (6.8 ± 0.8% vs. 3.7 ± 0.7%; p = 0.004). Conclusions: PLI was associated with lower energy intake, mainly due to reduced carbohydrate and fat intake, and a higher relative contribution of protein, consistent with phenotype-based recommendations rather than macronutrient prescriptions. These findings suggest a potential role for personalized dietary approaches in obesity management. However, the non-randomized design does not allow causal inferences.

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

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.

Abstract Aims To compare weight loss outcomes between patients starting semaglutide who had previously been on another anti‐obesity medication (AOM) compared to those who were AOM‐naïve. Materials and Methods We performed a retrospective study in patients with overweight or obesity taking semaglutide for weight loss for a duration of 3 to 12 months. Our primary endpoint was assessment of percentage of total body weight loss (TBWL) in patients who started semaglutide as their first AOM (AOM‐naïve) compared to those who started semaglutide and had previously taken another AOM (non‐AOM‐naïve). The secondary outcome was a comparison of the proportions of patients achieving ≥5%, ≥10%, ≥15% and ≥20% TBWL between the groups. Our endpoints were analysed using independent t ‐tests and ANOVA/ANCOVA for continuous variables and Pearson's test for categorical variables. Results This study included 305 patients. Outcomes of semaglutide treatment were superior in AOM‐naïve patients ( n = 231) compared to non‐AOM‐naïve patients ( n = 74) at 3 (6.3% vs. 3.8%), 6 (10.6% vs. 6.7%), 9 (14.0% vs. 9.1%) and 12 months (14.3% vs. 10.6%; p < 0.0001 at 3, 6 and 9 months, and p = 0.01 at 12 months). A greater proportion of patients in the AOM‐naïve group achieved a TBWL ≥ 15% (48% vs 21%; p = 0.02) and ≥20% (27% vs 4% p < 0.01) at 12 months. Conclusion The use of semaglutide in patients with previous intake of other AOMs was associated with inferior weight loss outcomes in comparison to patients who were AOM‐naïve.

Goals: We aim to describe the weight loss outcomes of patients with celiac disease (CeD) taking antiobesity medications (AOMs) and compare it with the weight loss outcomes of patients without CeD taking AOMs. Background: Increasing rates of obesity and obesity-associated comorbidities have been previously reported in patients with CeD on a gluten-free diet. The effectiveness of AOMs in this population has not been previously described. Methods: In our retrospective cohort study, we matched 39 patients with treated CeD to 78 patients without CeD based on sex and AOM. We assessed the weight loss outcomes at 3, 6, and 12 months after starting the AOM in both cohorts and analyzed if there was a differential response when comparing by type of AOM [injectable glucagon-like peptide 1 (GLP-1) receptor agonists vs. oral non-GLP-1 AOMs]. Results: Both cohorts had similar baseline demographic and anthropometric characteristics. At 12 months, the CeD cohort had a nonsignificantly inferior total body weight loss percentage compared with the cohort without CeD (6.5% vs. 9.5%, P=0.13). The CeD cohort had a similar proportion of patients achieving a total body weight loss percentage of ≥5% than the cohort without CeD (72.7% vs. 72.1%, P=1.00). No significant difference was observed when comparing the weight loss outcomes of injectables (GLP-1 receptor agonists) to oral AOMs. The proportion of patients reporting side effects was similar for both groups, regardless of the type of AOM. Conclusion: Patients with CeD taking AOMs had similar weight loss outcomes to patients without CeD. Hence, AOMs can be a safe and effective therapy for weight management in patients with CeD.