Phenotype tailored lifestyle intervention on weight loss and cardiometabolic risk factors in adults with obesity: a single-centre, non-randomised, proof-of-concept study

Long-term hair cortisone and perceived stress are associated with long-term hedonic eating tendencies in patients with obesity

INTRODUCTION

Long-term biological stress, reflected in hair cortisol and cortisone levels, predicts future weight gain and metabolic deterioration. This is likely at least partially mediated by glucocorticoid-induced increases in hedonic overeating. Yet, the relationship between long-term biological stress and long-term hedonic eating tendencies remains to be elucidated.

METHODS

We included N=108 adults with lifestyle-induced obesity (91 women, median body-mass-index=38.4 kg/m2) for our primary analysis investigating cross-sectional associations between long-term biological stress (hair cortisol and cortisone measured in the first 3 cm of scalp hair using liquid chromatography tandem mass spectrometry) and self-reported long-term hedonic eating tendencies (emotional and external eating, 'Dutch Eating Behavior Questionnaire', and trait food craving, 'Food Craving Questionnaire-Trait'). In secondary analyses, we investigated the moderating role of long-term psychological stress (Perceived Stress Scale-14 score) on the relation between hair glucocorticoid levels and hedonic eating tendencies.

RESULTS

Higher hair cortisone levels, but not higher hair cortisol levels, were associated with more food cravings after adjustment for sex and age (p<0.05). The association remained significant after additional adjustment for psychological stress (p<0.05). Psychological stress correlated positively with food craving and hedonic eating (p<0.05), and, in trend, with external eating (p<0.1). Stratification of stress groups (high vs. low psychological stress in addition to high vs. low biological stress) showed food cravings and emotional eating to be highest in the group with both high psychological-stress and high hair-cortisone (p<0.05), suggesting potential additive effects of different stress measures.

CONCLUSION

Long-term psychological and biological stress correlate with hedonic eating tendencies with potentially adverse additive effects on weight management and clinical features of obesity.

Comparative effectiveness of Roux-en-Y gastric bypass and sleeve gastrectomy in achieving diabetes remission in patients with diabetes-related vascular diseases: A multicentred study

Metabolic and bariatric surgeries (MBS), including Roux-en-Y Gastric Bypass (RYGB) and Sleeve Gastrectomy (SG), have proven effective in promoting long-term diabetes remission among patients with type-2 diabetes (T2D). In this multicentre retrospective cohort study, we investigated the effectiveness of RYGB and SG in achieving diabetes remission, specifically among patients with T2D and vascular complications, while accounting for similar baseline diabetes severity. Although various scores predict diabetes remission after bariatric surgery, they do not consider diabetes-related vascular complications, which can influence outcomes even in patients with similar baseline T2D severity. We collected preoperative data on microvascular (retinopathy, nephropathy, neuropathy) and macrovascular comorbidities (coronary artery disease, cerebrovascular accidents, peripheral artery disease) to compare the efficacy of RYGB and SG. Among 961 patients analysed, those with vascular complications showed higher remission rates with RYGB (OR: 1.97) compared to SG, despite similar baseline diabetes severity. Notably, RYGB patients with microvascular complications had a significant advantage in achieving T2D remission (OR: 2.95). However, no significant differences in remission were observed in patients with macrovascular complications. These findings suggest that RYGB may be more effective than SG in specific patient populations, particularly those with microvascular complications, emphasizing the need for personalized treatment strategies.

Deep phenotyping obesity using EHR data: Promise, Challenges, and Future Directions

Obesity affects approximately 34% of adults and 15-20% of children and adolescents in the U.S, and poses significant economic and psychosocial burdens. Due to the multifaceted nature of obesity, currently patient responses to any single anti-obesity medication (AOM) vary significantly, highlighting the need for developing approaches to obesity deep phenotyping and associated precision medicine. While recent advancement in classical phenotyping-guided pharmacotherapies have shown clinical value, they are less embraced by healthcare providers within the precision medicine framework, primarily due to their operational complexity and lack of granularity. From this perspective, several recent review articles highlighted the importance of obesity deep phenotyping for personalized precision medicine. In view of the established role of electronic health record (EHR) as an important data source for clinical phenotypings, we offer an in-depth analysis of the commonly available data elements from obesity patients prior to pharmacotherapy. We also experimented with a multi-modal longitudinal deep autoencoder to explore the feasibility, data requirements, clustering patterns, and challenges associated with EHR-based obesity deep phenotyping. Our analysis indicates at least nine clusters, among which five have distinct explainable clinical relevance. Further research within larger independent cohorts to validate the reproducibility, uncover more detailed substructures and corresponding treatment response is warranted.

Background

Obesity affects approximately 40% of adults and 15-20% of children and adolescents in the U.S, and poses significant economic and psychosocial burdens. Currently, patient responses to any single anti-obesity medication (AOM) vary significantly, making obesity deep phenotyping and associated precision medicine important targets of investigation.

Objective

To evaluate the potential of EHR as a primary data source for obesity deep phenotyping, we conduct an in-depth analysis of the data elements and quality available from obesity patients prior to pharmacotherapy, and apply a multi-modal longitudinal deep autoencoder to investigate the feasibility, data requirements, clustering patterns, and challenges associated with EHR-based obesity deep phenotyping.

Methods

We analyzed 53,688 pre-AOM periods from 32,969 patients with obesity or overweight who underwent medium- to long-term AOM treatment. A total of 92 lab and vital measurements, along with 79 ICD-derived clinical classifications software (CCS) codes recorded within one year prior to AOM treatment, were used to train a gated recurrent unit with decay based longitudinal autoencoder (GRU-D-AE) to generate dense embeddings for each pre-AOM record. principal component analysis (PCA) and gaussian mixture modeling (GMM) were applied to identify clusters.

Results

Our analysis identified at least nine clusters, with five exhibiting distinct and explainable clinical relevance. Certain clusters show characteristics overlapping with phenotypes from traditional phenotyping strategy. Results from multiple training folds demonstrated stable clustering patterns in two-dimensional space and reproducible clinical significance. However, challenges persist regarding the stability of missing data imputation across folds, maintaining consistency in input features, and effectively visualizing complex diseases in low-dimensional spaces.

Conclusion

In this proof-of-concept study, we demonstrated longitudinal EHR as a valuable resource for deep phenotyping the pre-AOM period at per patient visit level. Our analysis revealed the presence of clusters with distinct clinical significance, which could have implications in AOM treatment options. Further research using larger, independent cohorts is necessary to validate the reproducibility and clinical relevance of these clusters, uncover more detailed substructures and corresponding AOM treatment responses.

Glucagon-like Receptor-1 agonists for obesity: Weight loss outcomes, tolerability, side effects, and risks

Background

This review investigates the side effects of glucagon-like peptide-1 receptor agonists (GLP-1RAs) like liraglutide, semaglutide, and tirzepatide, medications known for their efficacy in promoting weight loss among individuals with obesity. The rationale is rooted in understanding the balance between their therapeutic benefits and associated risks.

Methods

This was a comprehensive clinical review, including systematic reviews, meta-analyses, randomized controlled trials (RCTs), and cohort studies. Data were extracted from databases such as PubMed, Scopus, Embase, MEDLINE, and Google Scholar, focusing on the tolerability, severity, and risks of these medications.

Results

GLP-1RAs demonstrated significant weight loss outcomes. In clinical trials, liraglutide showed a placebo-corrected weight loss of around 5 %, semaglutide 12 %, and tirzepatide 18 %. Common side effects were predominantly gastrointestinal, including nausea, diarrhea, constipation, and vomiting. Rare serious adverse events included gallbladder disorders and acute pancreatitis. In, addition, multiple studies identify new risks associated with GLP-1RAs including increased aspiration risk during anesthesia due to delayed gastric emptying and challenges with bowel preparation for colonoscopies.

Conclusion

While GLP-1RAs are effective in managing obesity, their use is associated with gastrointestinal side effects and rare but serious adverse events. The findings underscore the importance of individualized dosing and thorough patient assessment. Continuous research and vigilant monitoring are essential to optimize their safe use. Further studies are needed to refine guidelines, particularly regarding new concerns such as delayed gastric emptying and its implications for anesthesia.

Precision Medicine in Bariatric Procedures

Obesity is a multi-factorial disease that is influenced by genetic, epigenetic, and environmental factors. Precision medicine is a practice wherein prevention and treatment strategies take individual variability into account. It involves using a variety of factors including deep phenotyping using clinical, physiologic, and behavioral characteristics, 'omics assays (eg, genomics, epigenomics, transcriptomics, and microbiomics among others), and environmental factors to devise practices that are individualized to subsets of patients. Personalizing the therapeutic modality to the individual can lead to enhanced effectiveness and tolerability. The authors review advances in precision medicine made in the field of bariatrics and discuss future avenues and challenges.

The Use of Semaglutide in Patients With Renal Failure-A Retrospective Cohort Study

OBJECTIVE

Semaglutide, a glucagon-like peptide-1 receptor agonist is approved for weight loss and diabetes treatment, but limited literature exists regarding semaglutide use in patients with advanced chronic kidney disease (CKD). Therefore, this project assessed the safety and efficacy of semaglutide among patients with estimated glomerular filtration rate (eGFR) 15-29 mL/min/1.73 m2 (CKD stage 4), eGFR<15 mL/min/1.73 m2 (CKD stage 5) or on dialysis.

METHODS

This is a retrospective electronic medical record based analysis of consecutive patients with advanced CKD (defined as CKD 4 or greater) who were started on semaglutide (injectable or oral). Data was collected between January 2018 and January 2023. Investigators verified CKD diagnosis and manually extracted data. Data were analyzed using Fisher's exact test, paired t test, linear mixed effects models and Wilcoxon signed rank test.

RESULTS

Seventy-six patients with CKD 4 or greater who initiated semaglutide were included. Most patients had a history of type 2 diabetes mellitus (96.0%), and most were males (53.9%). The mean age was 66.8 y (SD 11.5) with the mean body mass index was 36.2 (SD 7.5). The initial doses were 3 mg orally and 0.25 mg by injection. Maximum prescribed dose was 1 mg (injectable) in 28 (45.2%) patients and 14 mg (orally) in 2 (14.2%) patients. Patients received semaglutide for a median duration of 17.4 (IQR 0.43, 48.8) months. Forty-eight (63.1%) patients reported no adverse effects associated with the therapy. Mean weight decreased from 106.2 (SD 24.2) to 101.3 (SD 27.3) kg (P < .001). Eight patients (16%) with type 2 diabetes mellitus T2DM discontinued insulin after starting semaglutide. Mean hemoglobin A1c (HbA1c) decreased from 8.0% (SD 1.7) to 7.1% (SD 1.3) (P < .001). Adverse effects were the primary reason for semaglutide discontinuation (37.0%), with nausea, vomiting, and abdominal pain being the most common complaints.

CONCLUSIONS

Based on this retrospective study semaglutide appears to be tolerated by most individuals with CKD 4 or greater despite associated gastrointestinal side effects similar to those observed in patients with better kidney function and leads to an improvement of glycemic control and insulin discontinuation in patients with T2DM. Modest weight loss (approximately 4.6% of the total body weight) was observed on the prescribed doses. Larger prospective randomized studies are needed to comprehensively assess the risks and benefits of semaglutide in patients with CKD 4 or greater and obesity.

Precision medicine for obesity: current evidence and insights for personalization of obesity pharmacotherapy

Obesity is a chronic and complex disease associated with increased morbidity, mortality, and financial burden. It is expected that by 2030 one of two people in the United States will have obesity. The backbone for obesity management continues to be lifestyle interventions, consisting of calorie deficit diets and increased physical activity levels, however, these interventions are often insufficient to achieve sufficient and maintained weight loss. As a result, multiple patients require additional interventions such as antiobesity medications or bariatric interventions in order to achieve clinically significant weight loss and improvement or resolution of obesity-associated comorbidities. Despite the recent advances in the field of obesity pharmacotherapy that have resulted in never-before-seen weight loss outcomes, comorbidity improvement, and even reduction in cardiovascular mortality, there is still a significant interindividual variability in terms of response to antiobesity medications, with a subset of patients not achieving a clinically significant weight loss. Currently, the trial-and-error paradigm for the selection of antiobesity medications results in increased costs and risks for developing side effects, while also reduces engagement in weight management programs for patients with obesity. The implementation of a precision medicine framework to the selection of antiobesity medications might help reduce heterogeneity and optimize weight loss outcomes by identifying unique subsets of patients, or phenotypes, that have a better response to a specific intervention. The detailed study of energy balance regulation holds promise, as actionable behavioral and physiologic traits could help guide antiobesity medication selection based on previous mechanistic studies. Moreover, the rapid advances in genotyping, multi-omics, and big data analysis might hold the key to discover additional signatures or phenotypes that might respond better to a certain intervention and might permit the widespread adoption of a precision medicine approach for obesity management.

TIGAR exacerbates obesity by triggering LRRK2-mediated defects in macroautophagy and chaperone-mediated autophagy in adipocytes

Obesity is one of the most common metabolic diseases around the world, which is distinguished by the abnormal buildup of triglycerides within adipose cells. Recent research has revealed that autophagy regulates lipid mobilization to maintain energy balance. TIGAR (Trp53 induced glycolysis regulatory phosphatase) has been identified as a glycolysis inhibitor, whether it plays a role in the metabolism of lipids is unknown. Here, we found that TIGAR transgenic (TIGAR+/+) mice exhibited increased fat mass and trended to obesity phenotype. Non-target metabolomics showed that TIGAR caused the dysregulation of the metabolism profile. The quantitative transcriptome sequencing identified an increased levels of LRRK2 and RAB7B in the adipose tissue of TIGAR+/+ mice. It was confirmed in vitro that TIGAR overexpression increased the levels of LRRK2 by inhibiting polyubiquitination degradation, thereby suppressing macroautophagy and chaperone-mediated autophagy (CMA) while increasing lipid accumulation which were reversed by the LRRK2 inhibitor DNL201. Furthermore, TIGAR drove LRRK2 to interact with RAB7B for suppressing lysosomal degradation of lipid droplets, while the increased lipid droplets in adipocytes were blocked by the RAB7B inhibitor ML282. Additionally, fat-specific TIGAR knockdown of TIGAR+/+ mice alleviated the symptoms of obesity, and adipose tissues-targeting superiority DNL201 nano-emulsion counteracted the obesity phenotype in TIGAR+/+ mice. In summary, the current results indicated that TIGAR performed a vital function in the lipid metabolism through LRRK2-mediated negative regulation of macroautophagy and CMA in adipocyte. The findings suggest that TIGAR has the potential to serve as a viable therapeutic target for treating obesity and its associated metabolic dysfunction.

The association between previous use of anti-obesity medication and semaglutide weight loss outcomes

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.

Cumulative effect of obesity phenotypes on body weight and body mass index

BACKGROUND

Obesity originates from an imbalance between energy intake and expenditure. Changes in energy intake components (satiation, postprandial satiety, emotional eating) and energy expenditure have been linked to obesity and are referred to as obesity phenotypes. We aim to study if these obesity phenotypes have a cumulative effect on body weight and body mass index (BMI).

SUBJECT/METHODS

This is a cross-sectional study of adult patients with obesity (BMI > 30 kg/m2) who completed the validated tests to measure the obesity phenotypes. A total of 464 were included in this study.

INTERVENTIONS/METHODS

We defined higher calories to fullness during an ad libitum meal as abnormal satiation, accelerated time to half gastric emptying with scintigraphy as abnormal postprandial satiety, higher anxiety score on the Hospital Anxiety and Depression Scale as hedonic eating behavior, and decreased percentage of measured resting energy expenditure as abnormal energy expenditure. The primary analysis was done on the number of phenotypes ( ≤ 1 and ≥ 2) with body weight and BMI using an independent t-test.

RESULTS

Our cohort included 464 patients (mean [SD] age 42.0 [10.9] years, 79% females, weight 111.2 [22.9] kg, BMI 38.9 [7.0] kg/m2). There were 294 patients who had ≤ 1 phenotype, and 170 patients with ≥ 2 phenotypes with no baseline demographical differences (i.e., age and sex). Having ≥ 2 phenotypes was associated with higher body weight (115 [25] kg vs. 109 [21] kg; p = 0.004), BMI (40 [8] kg/m2 vs. 38 [7] kg/m2; p = 0.02) and waist (118 [15] cm vs. 115 [13] cm; p = 0.04) and hip (129 [14] cm vs. 125 [13] cm; p = 0.01) circumferences compared to ≤ 1 phenotype.

CONCLUSION

Obesity phenotypes are associated with an additive effect on the body weight and BMI. Patients who have multiple obesity phenotypes may require a more aggressive approach to enhance weight loss.

Weight loss outcomes with semaglutide based on diabetes severity using the individualized metabolic surgery score

Background

Semaglutide demonstrated inferior weight loss responses in patients with type 2 diabetes (T2D) compared to patients with obesity without T2D. The individualized metabolic surgery (IMS) score was validated to predict T2D remission after bariatric surgery. The parameters of the IMS are HbA1c (<7%), insulin use, T2D medications and T2D duration. We aim to assess weight loss outcomes of semaglutide based on IMS score in patients with obesity and T2D.

Methods

This is a retrospective multicentered cohort study of patients with T2D and BMI≥ 27 kg/m2 taking ≥1 mg of semaglutide recruited from January 2020 to December 2022. We excluded patients with a history of bariatric surgery or taking other anti-obesity medications. IMS was calculated at baseline and patients weight change was recorded at baseline, 3, 6, 9 and 12 months. IMS was classified as mild (0-24.9 points), moderate (25-94.9 points), and severe (95-180 points). Analysis was performed based on IMS score quartiles and combination of Mild-Moderate vs Severe categories. We performed mixed linear regression models including age, sex, and baseline weight to assess associations between IMS categories with total body weight loss percentage (TBWL%).

Findings

We included 297 patients (42% female, mean age 62 ± 12 years) in the analysis. At 12 months, there was a stepwise decrease in weight loss outcomes when comparing patients by IMS quartiles (LS mean TBWL%± SE): 8.8 ± 0.8% vs 6.9 ± 0.8% vs 5.7 ± 0.9% vs 5.0 ± 0.8%. In the mixed linear model, patients in the mild-moderate category achieved significantly superior weight loss outcomes (LS mean TBWL± SE: -8.3 ± 0.7%) than patients in the severe category (-5.5 ± 0.6%; difference: -2.9, 95% CI: -5.2 to -0.5, p = 0.006) at 12 months. There was no significant difference in glycemic improvement regardless of IMS severity at baseline.

Interpretation

In our cohort, lower IMS severity was associated with more weight loss in patients with obesity and T2D. Further studies are needed to understand T2D severity and its effect on semaglutide outcomes.

Funding

Beyond payment to the research staff by Mayo Clinic, this research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Effects of dietary fibre on metabolic health and obesity

Obesity and metabolic syndrome represent a growing epidemic worldwide. Body weight is regulated through complex interactions between hormonal, neural and metabolic pathways and is influenced by numerous environmental factors. Imbalances between energy intake and expenditure can occur due to several factors, including alterations in eating behaviours, abnormal satiation and satiety, and low energy expenditure. The gut microbiota profoundly affects all aspects of energy homeostasis through diverse mechanisms involving effects on mucosal and systemic immune, hormonal and neural systems. The benefits of dietary fibre on metabolism and obesity have been demonstrated through mechanistic studies and clinical trials, but many questions remain as to how different fibres are best utilized in managing obesity. In this Review, we discuss the physiochemical properties of different fibres, current findings on how fibre and the gut microbiota interact to regulate body weight homeostasis, and knowledge gaps related to using dietary fibres as a complementary strategy. Precision medicine approaches that utilize baseline microbiota and clinical characteristics to predict individual responses to fibre supplementation represent a new paradigm with great potential to enhance weight management efficacy, but many challenges remain before these approaches can be fully implemented.

The melanocortin-4 receptor pathway and the emergence of precision medicine in obesity management

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.

The association between microvascular and macrovascular diseases and diabetes remission after bariatric surgery

BACKGROUND

Type-2 diabetes mellitus (T2DM) results in detrimental vascular complications including both microvascular and macrovascular diseases. Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) are effective weight-loss therapies that enhance T2DM remission. However, limited data are present regarding the association between diabetes-associated diseases before RYGB and SG with T2DM remission.

METHODS

This is a retrospective cohort study in patients with T2DM who underwent RYGB or SG. We collected data on preoperative microvascular (i.e., retinopathy, nephropathy, and neuropathy) and macrovascular (coronary artery disease, cerebrovascular accidents, and peripheral artery disease) diabetes-associated diseases. Our end points included assessment of association and cumulative effect of diabetes-associated diseases and disease remission. We also performed a multivariate logistic regression to evaluate the parameters associated with T2DM remission.

RESULTS

A total of 536 patients (67% female, 94% White) were included in this study. Patients without diabetes-associated diseases had an OR of 2.72 (95% CI 1.92 to 3.88) to achieve T2DM remission compared to patients with diabetes-associated diseases (27.9% vs 59.4%; p < 0.001). Importantly, there was an additive effect of the number of diabetes-associated diseases on the T2DM remission (p < 0.001). We demonstrate a significant association between HbA1c (p < 0.001), number of diabetes medications (p < 0.001), T2DM duration (p < 0.001), surgery type (p = 0.009), and insulin use (p = 0.04) with T2DM remission.

CONCLUSION

Patients with presurgical diabetes-associated diseases had a lower remission rate after RYGB and SG. Not only do these complications represent a more practical and consistent variable to predict T2DM remission, but also help planning a multidisciplinary management of patients with more severe T2DM.

Type-2 diabetes mellitus remission prediction models after Roux-En-Y gastric bypass and sleeve gastrectomy based on disease severity scores

AIM

Metabolic and bariatric surgery (MBS) is considered one of the most effective interventions for weight loss and associated type-2 diabetes mellitus (T2DM) remission. Multiple scores including the Individualized Metabolic Surgery (IMS), DiaRem, advanced DiaRem, and Robert et al. scores, have been developed predict T2DM remission after MBS. We aim to validate each of these scores in our cohort of patients undergoing MBS with long-term follow-up and assess their efficacy based on procedure type and preoperative BMI.

METHODS

We conducted a multicenter cohort study including patients with T2DM undergoing either Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG). Areas under the receiver operating characteristics (ROC) curve (AUC) were calculated to assess the discriminatory ability of the four models to detect T2DM remission.

RESULTS

A total of 503 patients (67 % females, mean age 53.5 [11] years, BMI 46.2 [8.8] kg/m2) with T2DM were included. The majority (78 %) underwent RYGB, while the rest (28 %) had SG. All four scores predicted T2DM remission in our cohort with an ROC AUC of 0.79 for IMS, 0.78 for both DiaRem and advanced-DiaRem, and 0.75 for Robert et al. score. Specific subgroups for each of these scores demonstrated higher T2DM remission rates after RYGB compared to SG.

CONCLUSION

We demonstrate the ability of the IMS, DiaRem, advanced-DiaRem and Robert et al. scores to predict T2DM remission in patients undergoing MBS. T2DM remission rates was demonstrated to decrease with more severe IMS, DiaRem and advanced-DiaRem scores and lower Robert et al. scores.

Poly-Agonist Pharmacotherapies for Metabolic Diseases: Hopes and New Challenges

The use of glucagon-like peptide-1 (GLP-1) receptor-based multi-agonists in the treatment of type 2 diabetes and obesity holds great promise for improving glycaemic control and weight management. Unimolecular dual and triple agonists targeting multiple gut hormone-related pathways are currently in clinical trials, with recent evidence supporting their efficacy. However, significant knowledge gaps remain regarding the biological mechanisms and potential adverse effects associated with these multi-target agents. The mechanisms underlying the therapeutic efficacy of GLP-1 receptor-based multi-agonists remain somewhat mysterious, and hidden threats may be associated with the use of gut hormone-based polyagonists. In this review, we provide a critical analysis of the benefits and risks associated with the use of these new drugs in the management of obesity and diabetes, while also exploring new potential applications of GLP-1-based pharmacology beyond the field of metabolic disease.

Maladaptive Eating Behaviours, Generalised Anxiety Disorder and Depression Severity: A Comparative Study between Adult Women with Overweight, Obesity, and Normal Body Mass Index Range

(1) Background: Causes of obesity are multifactorial and include genetic predisposition as well as behavioural, psychological, social, and hormonal influences. We aimed to compare adult women with normal weight, overweight, and obesity, with a focus on maladaptive eating behaviours, the presence of generalised anxiety disorder, and the severity of depression. Additionally, we explored the context of anti-obesity pharmacotherapy and the status of bariatric surgery. (2) Methods: The sample was composed of 1105 adult women. The following measures, through the Computer-Assisted Web Interview (CAWI), were used in the present study: the Three Factor Eating Questionnaire (TFEQ-R18), the 7-item Generalised Anxiety Disorders Scale (GAD-7), and the 9-item Patient Health Questionnaire (PHQ-9). (3) Results: All domains of the TFEQ-R18 had correlations with Body Mass Index (BMI). There was a weak negative association between BMI and Cognitive Restraint (r = -0.172, p < 0.001) and a weak positive relationship between BMI and Uncontrolled as well as Emotional Eating (r = 0.165, p < 0.001; r = 0.191, p < 0.001, respectively). Women who screened positive for anxiety scored lower in the Cognitive Restraint domain (10.11 ± 3.58, p = 0.042) and higher in the Uncontrolled Eating (12.69 ± 6.04, p < 0.001) and Emotional Eating (5.29 ± 2.75, p < 0.001) domains. Similarly, women screening positive for depression had lower scores in Cognitive Restraint (9.88 ± 3.61, p < 0.001) and higher scores in Uncontrolled Eating (12.64 ± 6.09, p < 0.001) and Emotional Eating (5.31 ± 2.71, p < 0.001). A significant association between liraglutide and semaglutide administration and Cognitive Restraint was observed. (4) Conclusions: Individualised treatment for obesity should consider the existing and confirmed association between maladaptive eating behaviours and generalised anxiety disorder, as well as the severity of depression influencing the BMI altogether. The use of anti-obesity pharmacotherapy needs further exploration because the evidence for the use of liraglutide and semaglutide in terms of positive associations with eating behaviours is encouraging.

Obesity: A Review of Pathophysiology and Classification

Obesity is a chronic, multifactorial, and morbid disease. In the United States, 69% of adults are overweight or have obesity, and the global prevalence of obesity is increasing. Obesity is influenced by genetic, neurologic, metabolic, enteric, and behavioral processes. It remains a key modifiable risk factor for many comorbid diseases, including cardiovascular disease, diabetes mellitus, and cancer. Whereas there are recent and significant advances in obesity therapy, including diets, lifestyle modifications, pharmacotherapies, endoscopic procedures, and bariatric surgeries, there is an immense need for a better understanding of the heterogeneity in the pathophysiologic process of obesity and outcomes. Here we review salient pathophysiologic mechanisms underlying the development and morbidity of obesity as well as pathophysiologically based classification systems that inform current obesity management and may inform improved and individualized management in the future.

The New Zealand eating behavior questionnaire - Validation study for a novel assessment tool to describe actionable eating behavior traits

Individualised management of obesity remains challenging and, to date, most treatment is based on clinical judgement. This study aimed to develop and validate a novel questionnaire-based tool to identify three pre-defined eating behavior (EB) traits, emotional eating, reduced satiety (constant hunger) and reduced satiation (feasters) that may predict selective medication response given their targeted actions. We recruited 977 individuals from a tertiary academic diabetes clinic to participate in this two-phase validation study. Participants self-reported weight management activities and were asked to self-assess their EB characteristics. The initial questionnaire included 42 visual analogue scale questions. In Phase I, 729 participants completed the questionnaire, including Māori (11.8%) and Pacific peoples (19.3%). After random division of the study sample, Exploratory Factor Analysis (EFA) confirmed a three-factor model as the best fit. Stepwise removal of items with inadequate factor loading retained 27 of 42 items, which accounted for 96% of the variance. Confirmatory Factor Analysis (CFA), performed on the second half of the sample, demonstrated good model fit with the final 27-item questionnaire. Internal consistency was high for factor (α = 0.82-0.95) and demographic subgroups, and similar to those obtained in the EFA. Test-retest reliability in a subset of 399 participants who repeated the questionnaire after a four-week interval (Phase II) showed moderate to good reliability. Participants classified into one of three EB types based on the highest median score among the factors. Test-retest reliability was robust for emotional eaters (71.25%) and constant hunger (68.9%). The correlation between aggregate EB score (sum of three EB scores) and BMI was significant (Spearman rho = 0.314, P = .0005). The questionnaire reliably identified three distinct EB traits, which may be informative for precision medicine applications for obesity management.

The Impact of Artificial Sweeteners on Human Health and Cancer Association: A Comprehensive Clinical Review

Artificial sweeteners are sugar substitutes that provide high sweetening power associated with low accompanied calories. In this study, we aim to review the data on the use, benefits, side effects, and cancer risks of artificial sweeteners. We reviewed data in the PubMed, MEDLINE, Google Scholar, Embase, and Scopus databases to search for studies about artificial sweeteners from the inception of the database to July 20, 2023, published in the English language. We discuss systematic reviews and meta-analyses, randomized clinical trials, and observational cohort studies that address the use of artificial sweeteners and their effect on health. In our review, we show that artificial sweeteners have been shown to impact various functions of the gastrointestinal system. Other studies have demonstrated an association with neurologic symptoms such as headache and taste alteration. Moreover, recent studies have established an association between artificial sweeteners and cardiovascular risk and diabetes. Importantly, the majority of research data show no link between the use of artificial sweeteners and cancer risk. Although most studies show that there is no established link between these products and cancer risk, artificial sweeteners are associated with multiple diseases. Hence, more studies are needed to better characterize the effect of artificial sweeteners on human health.

Precision medicine of obesity as an integral part of type 2 diabetes management - past, present, and future

Obesity is a complex and heterogeneous condition that leads to various metabolic complications, including type 2 diabetes. Unfortunately, for some, treatment options to date for obesity are insufficient, with many people not reaching sustained weight loss or having improvements in metabolic health. In this Review, we discuss advances in the genetics of obesity from the past decade-with emphasis on developments from the past 5 years-with a focus on metabolic consequences, and their potential implications for precision management of the disease. We also provide an overview of the potential role of genetics in guiding weight loss strategies. Finally, we propose a vision for the future of precision obesity management that includes developing an obesity-centred multidisease management algorithm that targets both obesity and its comorbidities. However, further collaborative efforts and research are necessary to fully realise its potential and improve metabolic health outcomes.

Precision gestational diabetes treatment: a systematic review and meta-analyses

BACKGROUND

Gestational Diabetes Mellitus (GDM) affects approximately 1 in 7 pregnancies globally. It is associated with short- and long-term risks for both mother and baby. Therefore, optimizing treatment to effectively treat the condition has wide-ranging beneficial effects. However, despite the known heterogeneity in GDM, treatment guidelines and approaches are generally standardized. We hypothesized that a precision medicine approach could be a tool for risk-stratification of women to streamline successful GDM management. With the relatively short timeframe available to treat GDM, commencing effective therapy earlier, with more rapid normalization of hyperglycaemia, could have benefits for both mother and fetus.

METHODS

We conducted two systematic reviews, to identify precision markers that may predict effective lifestyle and pharmacological interventions.

RESULTS

There was a paucity of studies examining precision lifestyle-based interventions for GDM highlighting the pressing need for further research in this area. We found a number of precision markers identified from routine clinical measures that may enable earlier identification of those requiring escalation of pharmacological therapy (to metformin, sulphonylureas or insulin). This included previous history of GDM, Body Mass Index and blood glucose concentrations at diagnosis.

CONCLUSIONS

Clinical measurements at diagnosis could potentially be used as precision markers in the treatment of GDM. Whether there are other sensitive markers that could be identified using more complex individual-level data, such as omics, and if these can feasibly be implemented in clinical practice remains unknown. These will be important to consider in future studies.

Phenotyping the obesities: reality or utopia?

In this thematic issue on phenotyping the obesities, prominent international experts offer an insightful and comprehensive collection of articles covering the current knowledge in the field. In order to actually capture all the polyhedral determinants of the diverse types of obesity, the granularity of the phenotypic information acquired must be expanded in the context of a personalized approach. Whilst the use of precision medicine has been successfully implemented in areas like cancer and other diseases, health care providers are more reluctant to embrace detailed phenotyping to guide diagnosis, treatment and prevention in obesity. Given its multiple complex layers, phenotyping necessarily needs to go beyond the multi-omics approach and incorporate all the diverse spheres that conform the reality of people living with obesity. Potential barriers, difficulties, roadblocks and opportunities together with their interaction in a syndemic context are analyzed. Plausible lacunae are also highlighted in addition to pointing to the need of redefining new conceptual frameworks. Therefore, this extraordinary collection of state-ofthe-art reviews provides useful information to both experienced clinicians and trainees as well as academics to steer clinical practice and research in the management of people living with obesity irrespective of practice setting or career stage.

The role of diabetes severity scores in predicting disease remission in patients with BMI > 50 kg/m2 undergoing Roux-En-Y gastric bypass and sleeve gastrectomy: a multi-centered study

BACKGROUND

Roux-En-Y gastric bypass (RYGB) and Sleeve Gastrectomy (SG) have shown to be two of the most effective interventions to enhance weight loss and associated type-2 diabetes mellitus (T2DM) remission. However, a significant number of patients, particularly with BMI ≥ 50 kg/m2, do not achieve T2DM remission after bariatric surgeries. The individualized metabolic surgery (IMS) and Robert et al. scores are two scores that characterize T2DM severity and predict disease remission after bariatric surgeries. We aim to assess the validity of these scores in predicting T2DM remission in our cohort of patients with BMI ≥ 50 kg/m2 with long-term follow-up.

METHODS

This is a retrospective cohort study of all patients with T2DM, have a BMI ≥ 50 kg/m2, and underwent RYGB or SG in two different US bariatric surgery centers of excellence. The study endpoints included validating the IMS and Robert et al. scores in our cohort and evaluating the presence of any significant differences between RYGB and SG in terms of T2DM remission predicted by each of these scores. Data are presented as mean (standard deviation).

RESULTS

A total of 160 patients (66.3% females, mean age 51.0 [11.8] years) had IMS score and 238 patients (66.4% females, age 50.8 [11.4] years) had Robert et al. score data. Both scores predicted T2DM remission in our patients with BMI ≥ 50 kg/m2 with ROC AUC 0.79 for the IMS score and 0.83 for Robert et al. score. Patients with lower IMS scores and higher Robert et al. scores had higher T2DM remission rates. RYGB and SG had similar T2DM remission rates over the long-term follow-up.

CONCLUSION

We demonstrate the ability of the IMS and Robert et al. scores to predict T2DM remission in patients with BMI ≥ 50 kg/m2. T2DM remission was shown to decrease with more severe IMS scores and lower Robert et al. scores.

The DECON pilot project investigates predictive markers for successful bariatric surgery

Obesity is a chronic, multifactorial disease which is linked to a number of adverse endocrinological and metabolic conditions. Currently, bariatric surgery is one of the most effective treatments for individuals diagnosed with severe obesity. However, the current indications for bariatric surgery are based on inadequate metrics (i.e., BMI) which do not account for the complexity of the disease, nor the heterogeneity among the patient population. Moreover, there is a lack of understanding with respect to the biological underpinnings that influence successful and sustained weight loss post-bariatric surgery. Studies have implicated age and pre-surgery body weight as two factors that are associated with favorable patient outcomes. Still, there is an urgent medical need to identify other potential factors that could improve the specificity of candidate selection and better inform the treatment plan of patients with obesity. In this report, we present and describe the cohort of the DECON pilot project, a multicenter study which aims to identify predictive biomarkers of successful weight loss after bariatric surgery.

Polymorphisms of Fat Mass and Obesity-Associated Gene in the Pathogenesis of Child and Adolescent Metabolic Syndrome

Childhood metabolic syndrome (MetS) is prevalent around the world and is associated with a high likelihood of suffering from severe diseases such as cardiovascular disease later in adulthood. MetS is associated with genetic susceptibility that involves gene polymorphisms. The fat mass and obesity-associated gene (FTO) encodes an RNA N6-methyladenosine demethylase that regulates RNA stability and molecular functions. Human FTO contains genetic variants that significantly contribute to the early onset of MetS in children and adolescents. Emerging evidence has also uncovered that FTO polymorphisms in intron 1, such as rs9939609 and rs9930506 polymorphisms, are significantly associated with the development of MetS in children and adolescents. Mechanistic studies reported that FTO polymorphisms lead to aberrant expressions of FTO and the adjacent genes that promote adipogenesis and appetite and reduce steatolysis, satiety, and energy expenditure in the carriers. The present review highlights the recent observations on the key FTO polymorphisms that are associated with child and adolescent MetS with an exploration of the molecular mechanisms underlying the development of increased waist circumference, hypertension, and hyperlipidemia in child and adolescent MetS.