Acosta, Andrés

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.

Background: Endoscopic sleeve gastroplasty (ESG) is a safe and effective obesity treatment. The individualized metabolic score (IMS) is a validated score that uses preoperative variables predicting T2D remission (DR) in bariatric surgery. Objectives: We evaluated the applicability of using the IMS score to predict DR in patients after ESG. Design/Methods: We performed a retrospective review of patients with obesity and T2D who underwent ESG. We calculated DR, IMS score, and severity, and divided patients based on IMS category. Results: The cohort comprised 20 patients: 25% (5) mild, 55% (11) moderate, and 20% (4) severe IMS stages. DR was achieved in 60%, 45.5%, and 0% of patients with mild, moderate, and severe IMS scores ( p = 0.08), respectively. IMS score was significantly associated with DR ( p = 0.03), with the area under the curve of the receiver operating characteristic for predicting DR 0.85. Conclusion: These pilot data demonstrate that the IMS score appears to be useful in predicting DR after ESG.

Abstract Over the past few decades, there has been a global surge in the prevalence of obesity, rendering it a globally recognized epidemic. Contrary to simply being a medical condition, obesity is an intricate disease with a multifactorial aetiology. Understanding the precise cause of obesity remains a challenge; nevertheless, there seems to be a complex interplay among biological, psychosocial and behavioural factors. Studies on the genetic factors of obesity have revealed several pathways in the brain that play a crucial role in food intake regulation. The best characterized pathway, thus far, is the leptin–melanocortin pathway, from which disruptions are responsible for the majority of monogenic obesity disorders. The effectiveness of conservative lifestyle interventions in addressing monogenic obesity has been limited. Therefore, it is crucial to complement the management strategy with pharmacological and surgical options. Emphasis has been placed on developing drugs aimed at replacing the absent signals, with the goal of restoring the pathway. In both monogenic and polygenic forms of obesity, outcomes differ across various interventions, likely due to the multifaceted nature of the disease. This underscores the need to explore alternative therapeutic strategies that can mitigate this heterogeneity. Precision medicine can be regarded as a powerful tool that can address this concern, as it values the understanding of the underlying abnormality triggering the disease and provides a tailored treatment accordingly. This would assist in optimizing outcomes of the current therapeutic approaches and even aid in the development of novel treatments capable of more effectively managing the global obesity epidemic.

Abstract Objective To compare weight loss response and changes in cardiometabolic risk markers in postmenopausal women using semaglutide with and without menopause hormone therapy (HT) use. Methods Retrospective cohort study of postmenopausal women treated with semaglutide for overweight or obesity for ≥3 months. Endpoints: total body weight loss percentage (TBWL%) at 3, 6, 9, and 12 months after semaglutide initiation; and percentage of women achieving ≥5% and ≥10% TBWL and changes in cardiometabolic risk markers (glucose, blood pressure, and lipids) at 12 months. Results There were 16 women on HT and 90 on no-HT; mean age 56 ± 8 vs 59 ± 8 yr, P = 0.2 and mean BMI 36 ± 5 vs 39 ± 8 kg/m2, P = 0.1; respectively. Among women on no-HT, White race, dyslipidemia, and depression were more prevalent. Women on HT had a higher TBWL% at 3, 6, 9, and 12 months: 7 ± 3% vs 5 ± 4%, P = 0.01; 13 ± 6% vs 9 ± 5%, P = 0.01; 15 ± 6% vs 10 ± 6%, P = 0.02; and 16 ± 6% vs 12 ± 8%, P = 0.04; respectively. After adjusting for potential confounders, this association remained significant across time. At 12 months, a greater percentage of women on HT achieved ≥5% and ≥10% TBWL. Both groups experienced an improvement in cardiometabolic risk markers. Conclusion In postmenopausal women with overweight or obesity treated with semaglutide, HT use was associated with an improved weight loss response. This association was maintained when adjusted for confounders. Larger studies should be conducted to confirm these results.

AbstractBackgroundAccelerated gastric emptying (GE) is a trait seen in obesity. Mutations in the hypothalamic leptin‐melanocortin 4 receptor (Leptin‐MC4R) pathway have been associated with obesity. We sought to investigate the association of leptin‐MC4R pathway variants and GE in patients with obesity.MethodsThis is a cross‐sectional study of patients with a history of severe obesity that were genotyped and completed a GE test by scintigraphy. We evaluated the percentage of GE (GE %) at 2 and 4 h between both groups using ANCOVA with weight and sex as covariates. We subdivide patients into carriers based on the location of the identified variants (i.e., upstream or downstream of the Leptin‐MC4R pathway) and compared them with noncarriers using ANOVA. Results are presented as mean and standard deviation (± SD).Key ResultsA total of 95 patients; nine carriers (67% females; 39.78 ± 12.33 years; BMI: 49.14 ± 12.96 kg/m2) and 86 noncarriers (87% female; 49.98 ± 13.74 years; BMI: 40.75 ± 6.29 kg/m2) were included. At 2 and 4 h, carriers had a delayed GE when compared noncarriers (p = 0.03 and p = 0.005, respectively). In carriers, when compared upstream carriers vs. downstream carriers vs. noncarriers by location there was a significant difference in GE among groups at 2 h and at 4 h (p = 0.02 and p = 0.01, respectively).Conclusions & InferencesCarriers of heterozygous variants in the Leptin‐MC4R pathway had a delayed GE compared to noncarriers. These findings point the important relationship between the Leptin‐MC4R pathway and gastric motility.

Objective Multiple scores validate long-term type-2 diabetes mellitus (T2DM) remission after metabolic and bariatric surgery (MBS). However, studies comparing Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) have not adequately controlled for certain parameters, which may influence procedure selection. Methods We conducted a multicenter retrospective review of patients with T2DM who underwent RYGB or SG between 2008 and 2017. Data on demographics, clinical, laboratory, and metabolic values were collected annually for up to 14 years. Each eligible RYGB patient was individually matched to an eligible SG patient based on diabetes severity, weight loss, and follow-up duration. Results Among 1149 T2DM patients, 467 were eligible for matching. We found 97 matched pairs who underwent RYGB or SG. RYGB showed significantly higher T2DM remission rates (46.4%) compared to SG (33.0%) after matching. SG patients had higher insulin usage (35.1%) than RYGB patients (20.6%). RYGB patients also experienced greater decreases in HbA1c levels and diabetes medication usage than SG patients. Conclusions RYGB demonstrates higher efficacy for T2DM remission compared to SG, regardless of baseline characteristics, T2DM severity, weight loss, and follow-up duration. Further studies are needed to understand the long-term metabolic effects of MBS and the underlying pathophysiology of T2DM remission after MBS.

Background: The role of body adiposity on metabolic dysregulation in subjects with normal body mass index (BMI) is still under debate with limited population-based evidence. Hypothesis: Body adiposity measured by dual x-ray absorptiometry (DEXA) is associated with metabolic disorders in normal-weight individuals. Methods: We evaluated a sample of adults aged 20-65 who underwent DEXA in the US National Health and Nutrition Examination Surveys from 1999-2006 and 2011-2018. We excluded those with history of cardiovascular disease, cancer, and chronic obstructive pulmonary disease. Weighted logistic regression was performed to test the association between body fat percentage (BF%) and metabolic disorders [e.g., insulin resistance (IR), metabolic syndrome (MS), dyslipidemia, type 2 diabetes mellitus (DM), hypertension]. Models were adjusted for potential confounders while considering complex survey design and were further stratified by sex and BF% as tertiles in normal-weight individuals. IR was tested as a secondary analysis to evaluate the effect on the predicted risk. Results: We included 20,613 individuals (51.5% men, 65.4% non-Hispanic whites), mean age ± SE was 39.42±0.22 years, and 6,424 were normal weight by BMI and represented our study sample. The overall BF% in these subjects measured by DEXA was 28.41±0.19%. In our cohort, metabolic disorders were prevalent in 2.1% to 40.4% of patients (Table 1). Every 10-unit % increase in total BF% was associated with a higher risk for IR, MS, dyslipidemia in the normal weight BMI group (Table 1). Metabolic disorders were associated with BF% tertiles (Figure 1). IR was significantly associated with body fat across all BF% tertiles for men and highest tertiles for women (Figure 2). Conclusion(s): Less than 1/3 of subjects in a representative national sample had a normal BMI. Even in these “normal weight” subjects, increases in body adiposity are significantly associated with increased cardiometabolic disease burden.

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.

AbstractBackgroundFood intake is regulated by homeostatic and hedonic systems that interact in a complex neuro‐hormonal network. Dysregulation in energy intake can lead to obesity (OB) or anorexia nervosa (AN). However, little is known about the neurohormonal response patterns to food intake in normal weight (NW), OB, and AN.Material & MethodsDuring an ad libitum nutrient drink (Ensure®) test (NDT), participants underwent three pseudo‐continuous arterial spin labeling (pCASL) MRI scans. The first scan was performed before starting the NDT after a > 12 h overnight fast (Hunger), the second after reaching maximal fullness (Satiation), and the third 30‐min after satiation (postprandial fullness). We measured blood levels of ghrelin, cholecystokinin (CCK), glucagon‐like peptide (GLP‐1), and peptide YY (PYY) with every pCASL‐MRI scan. Semiquantitative cerebral blood flow (CBF) maps in mL/100 gr brain/min were calculated and normalized (nCBF) with the CBF in the frontoparietal white matter. The hypothalamus (HT), nucleus accumbens [NAc] and dorsal striatum [DS] were selected as regions of interest (ROIs).ResultsA total of 53 participants, 7 with AN, 17 with NW (body‐mass index [BMI] 18.5–24.9 kg/m2), and 29 with OB (BMI ≥30 kg/m2) completed the study. The NW group had a progressive decrease in all five ROIs during the three stages of food intake (hunger, satiation, and post‐prandial fullness). In contrast, participants with OB showed a minimal change from hunger to postprandial fullness in all five ROIs. The AN group had a sustained nCBF in the HT and DS, from hunger to satiation, with a subsequent decrease in nCBF from satiation to postprandial fullness. All three groups had similar hormonal response patterns with a decrease in ghrelin, an increase in GLP‐1 and PYY, and no change in CCK.ConclusionConditions of regulated (NW) and dysregulated (OB and AN) energy intake are associated with distinctive neurohormonal activity patterns in response to hunger, satiation, and postprandial fullness.