Genetics and epigenetics in obesity

Deciphering the shared genetic architecture between bipolar disorder and body mass index

BACKGROUND

The comorbidity between bipolar disorder (BD) and high body mass index (BMI) is well-documented, but their shared genetic architecture remains unclear. Our study aimed to explore this genetic correlation and potential causality.

METHODS

Utilizing large-scale genome-wide association study (GWAS) summary statistics, we quantified global and local genetic correlations between BD and BMI using linkage disequilibrium score regression (LDSC) and Heritability Estimation from Summary Statistics. Stratified LDSC characterized genetic overlap across functional categories. Cross-trait meta-analyses identified shared risk single nucleotide polymorphisms (SNPs), followed by colocalization analysis using Coloc. Bi-directional Mendelian randomization (MR) assessed causality, while tissue-level SNP heritability enrichment for BD and BMI was evaluated using LDSC-specific expressed genes and Multi-marker Analysis of Genomic Annotation.

RESULTS

We found a genetic correlation between BD and BMI, especially in localized genomic regions. Cross-trait meta-analysis identified 46 significant SNPs shared between BD and BMI, including three novel shared risk SNPs. Colocalization analysis verified two novel SNPs with shared causal variants linked to ITIH1 and TM6SF2 genes. MR analysis demonstrated a causal effect of BD on BMI, but not the reverse. Gene expression data revealed genetic correlation enrichment in five specific brain regions.

CONCLUSION

This study comprehensively analyzes the genetic correlation between BD and BMI, uncovering shared genetic architecture and identifying novel risk loci. These findings provide new insights into the interplay between BD and BMI, informing the development of diagnostic tools and therapeutic strategies.

Chromatin landscape in paired human visceral and subcutaneous adipose tissue and its impact on clinical variables in obesity

BACKGROUND

Obesity is a global health challenge and adipose tissue exhibits distinct depot-specific characteristics impacting differentially on the risk of metabolic comorbidities.

METHODS

Here, we integrate chromatin accessibility (ATAC-seq) and gene expression (RNA-seq) data from intra-individually paired human subcutaneous (SAT) and omental visceral adipose tissue (OVAT) samples to unveil depot-specific regulatory mechanisms.

FINDINGS

We identified twice as many depot-specific differentially accessible regions (DARs) in OVAT compared to SAT. SAT-specific regions showed enrichment for adipose tissue enhancers involving genes controlling extracellular matrix organization and metabolic processes. In contrast, OVAT-specific regions showed enrichment in promoters linked to genes associated with cardiomyopathies. Moreover, OVAT-specific regions were enriched for bivalent transcription start site and repressive chromatin states, suggesting a "lingering" regulatory state. Motif analysis identified CTCF and BACH1 as most significantly enriched motifs in SAT and OVAT-specific DARs, respectively. Distinct gene sets correlated with important clinical variables of obesity, fat distribution measures, as well as insulin, glucose, and lipid metabolism.

INTERPRETATION

We provide an integrated analysis of chromatin accessibility and transcriptional profiles in paired human SAT and OVAT samples, offering new insights into the regulatory landscape of adipose tissue and highlighting depot-specific mechanisms in obesity pathogenesis.

FUNDING

SS received EU-Scientia postdoctoral Fellowship and project funding from the European Union's Horizon 2020 Research and Innovation program under the Marie Skłodowska-Curie Grant, (agreement No. 801133). LlCP and TR were supported by Helse Sør-Øst grants to Y.B (ID 2017079, ID 278908). MB received funding from grants from the DFG (German Research Foundation)-Projekt number 209933838-SFB 1052 (project B1) and by Deutsches Zentrum für Diabetesforschung (DZD, Grant: 82DZD00601).

Associations between children's dietary patterns, excessive weight gain, and obesity risk: cohort study nested to a randomized field trial

OBJECTIVE

To identify the critical period of excessive weight gain (EWG) in childhood and the dietary patterns associated with it.

METHODS

A cohort study nested to a randomized field trial with mother-child pairs interviewed by home visits at ages six months, 12 months, three years, and six years. We selected 715 pregnant women from 20 healthcare centers in southern Brazil. EWG was considered as a change in body mass index-for-age (BMI-for-age) z-score >0.67. Two 24-hour recalls were used to determine the dietary patterns by exploratory factor analysis. The effect of dietary patterns on EWG was assessed by logistic regressions using Generalized Estimating Equations.

RESULTS

The critical period for EWG was from six to 12 months (46.5% BMI variation >0.67; n=228; p≤0.001). Dietary patterns at six months associated with EWG were baby bottles of cow´s milk added to baby cereal flours and added sugar (relative risk - RR 1.43; 95% confidence interval - 95%CI 1.15-1.79; p≤0.001 and RR 1.59; 95%CI 1.28-1.97, p≤0.001); fruit juice and creamy dessert (RR 1.39; 95%CI 1.08-1.33; p≤0.001) and sweet beverages (RR 1.19; 95%CI 1.02-1.38; p=0.024).

CONCLUSIONS

The second semester of life was the most critical period for EWG in childhood, influenced mostly by the consumption of cow's milk added with baby cereal flour and sugar, fruit juice, creamy desserts, and sweet beverages. These findings emphasize the importance of early dietary interventions to promote healthier food choices and prevent EWG during infancy.

SKIN COLOR DIFFERENCES AND HEALTH-RELATED QUALITY OF LIFE PERCEPTION AFTER GASTRIC BYPASS ROUX-EN-Y: A CROSS-SECTIONAL STUDY

BACKGROUND

Differences in skin color have socioeconomic and health implications; however, gaps persist in understanding health-related quality of life (HRQoL) perception.

AIMS

To examine whether skin color differences influence HRQoL in obese patients undergoing Roux-en-Y gastric bypass surgery.

METHODS

Cross-sectional study with participants of both genders, aged 18 to 60, and three to six months postoperatively. Data were collected from October 2018 to July 2019 at a bariatric clinic in Salvador, Bahia. Skin color, Moorehead-Ardelt II Quality of Life Questionnaire (MAQOL-II) scores, anthropometric measurements, socioeconomic status, physical activity, and body image perceptions were recorded.

RESULTS

Of 196 patients, 67.35% were Black. "Self-esteem" in MAQOL-II demonstrated the most significant post-surgical improvement, with 62.8% reporting "much better" outcomes. Adjusted residuals associated "much better" and "unchanged" responses with skin color. The overall MAQOL-II score indicated lower HRQoL scores (M=1.65; standard deviation - SD=0.98) for individuals with black skin compared to those with white skin. Analyzing questionnaire responses, both racial groups exhibited equal percentages (45.3%) reporting "much better" and "better" post-surgery progress. However, no statistically significant differences in HRQoL were observed when comparing skin color.

CONCLUSIONS

Skin color appears not to significantly impact the HRQoL of obese patients undergoing Roux-en-Y gastric bypass.

Significantly higher rates of KIDINS220 polymorphisms in patients with obesity and end-stage renal disease

Background

Kinase D-interacting substrate of 220 kDa ("KIDINS220") is an integral plasma membrane protein essential to signaling throughout the body; abnormalities are linked to a variety of disorders, including obesity, but have never been directly linked to chronic- or end-stage renal disease.

Methods

Retrospective chart review identified patients with severe obesity who presented for pre-kidney transplant weight management. 20 individuals met criteria for testing for genetic causes of obesity. A χ2 test of independence was utilized to compare genetic mutation rates in this cohort to all individuals tested nationally.

Results

This case series presents a cohort of patients with severe obesity and end-stage renal disease who were subsequently found to have a significantly higher rate of KIDINS220 mutations (20 %, χ2 = 27.8, p < 0.0001) compared to the national positivity rate of all individuals tested for genetic causes of obesity.

Conclusions

Mutations within KIDINS220 may play a modulatory role in the progression of chronic kidney disease in patients with obesity, as evidenced by this small retrospective study. The relationship between KIDINS200, kidney disease, and obesity is complex and requires further study, but may represent a potential therapeutic target in the future.

Artificial intelligence in the management of metabolic disorders: a comprehensive review

This review explores the significant role of artificial intelligence (AI) in managing metabolic disorders like diabetes, obesity, metabolic dysfunction-associated fatty liver disease (MAFLD), and thyroid dysfunction. AI applications in this context encompass early diagnosis, personalized treatment plans, risk assessment, prevention, and biomarker discovery for early and accurate disease management. This review also delves into techniques involving machine learning (ML), deep learning (DL), natural language processing (NLP), computer vision, and reinforcement learning associated with AI and their application in metabolic disorders. The following study also enlightens the challenges and ethical considerations associated with AI implementation, such as data privacy, model interpretability, and bias mitigation. We have reviewed various AI-based tools utilized for the diagnosis and management of metabolic disorders, such as Idx, Guardian Connect system, and DreaMed for diabetes. Further, the paper emphasizes the potential of AI to revolutionize the management of metabolic disorders through collaborations among clinicians and AI experts, the integration of AI into clinical practice, and the necessity for long-term validation studies. The references provided in the paper cover a range of studies related to AI, ML, personalized medicine, metabolic disorders, and diagnostic tools in healthcare, including research on disease diagnostics, personalized therapy, chronic disease management, and the application of AI in diabetes care and nutrition.

Lipids as key biomarkers in unravelling the pathophysiology of obesity-related metabolic dysregulation

Background and objective

Obesity is intricately linked with metabolic disturbances. The comprehensive exploration of metabolomes is important in unravelling the complexities of obesity development. This study was aimed to discern unique metabolite signatures in obese and lean individuals using liquid chromatography-mass spectrometry quadruple time-of-flight (LC-MS/Q-TOF), with the goal of elucidating their roles in obesity.

Methods

A total of 160 serum samples (Discovery, n = 60 and Validation, n = 100) of obese and lean individuals with stable Body Mass Index (BMI) values were retrieved from The Malaysian Cohort biobank. Metabolic profiles were obtained using LC-MS/Q-TOF in dual-polarity mode. Metabolites were identified using a molecular feature and chemical formula algorithm, followed by a differential analysis using MetaboAnalyst 5.0. Validation of potential metabolites was conducted by assessing their presence through collision-induced dissociation (CID) using a targeted tandem MS approach.

Results

A total of 85 significantly differentially expressed metabolites (p-value <0.05; -1.5 < FC > 1.5) were identified between the lean and the obese individuals, with the lipid class being the most prominent. A stepwise logistic regression revealed three metabolites associated with increased risk of obesity (14-methylheptadecanoic acid, 4'-apo-beta,psi-caroten-4'al and 6E,9E-octadecadienoic acid), and three with lower risk of obesity (19:0(11Me), 7,8-Dihydro-3b,6a-dihydroxy-alpha-ionol 9-[apiosyl-(1->6)-glucoside] and 4Z-Decenyl acetate). The model exhibited outstanding performance with an AUC value of 0.95. The predictive model underwent evaluation across four machine learning algorithms consistently demonstrated the highest predictive accuracy of 0.821, aligning with the findings from the classical logistic regression statistical model. Notably, the presence of 4'-apo-beta,psi-caroten-4'-al showed a statistically significant difference between the lean and obese individuals among the metabolites included in the model.

Conclusions

Our findings highlight the significance of lipids in obesity-related metabolic alterations, providing insights into the pathophysiological mechanisms contributing to obesity. This underscores their potential as biomarkers for metabolic dysregulation associated with obesity.

Transfer Learning Prediction of Early Exposures and Genetic Risk Score on Adult Obesity in Two Minority Cohorts

Due to ethnic heterogeneity in genetic architecture, genetic risk score (GRS) constructed within the European population generally possesses poor portability in underrepresented non-European populations, but substantial genetic similarity exists across diverse ancestral groups. We here explore the prediction performance of early exposures and GRS on body mass index (BMI) through leveraging genetic similarity knowledge acquired from Europeans into non-Europeans. We present a linear mixed prediction model for BMI in three distinct UK Biobank cohorts under the transfer learning framework, where we consider Asians (n = 7487) and Africans (n = 7533) as target samples and Europeans (n = 280,575) as informative auxiliary samples. Besides environmental and behavior exposures, we incorporate multiple BMI-related variants, by which the GRS is constructed via transfer machine learning techniques informed by genetic similarity shared across target and auxiliary samples. The use of GRS gained more predictive odds for BMI than the model with traditional risk factors alone in the Asian and African cohorts, leading to an approximately 3.6% and 0.7% accuracy improvement in each target population. After borrowing genetic similarity from Europeans via transfer learning, the R2 increased to 0.270 for Asians and 0.302 for Africans, enhanced by 21.1% and 7.5%, respectively, compared to the early exposure-only models. We also provided evidence for the well-known conclusion that GRS constructed in the European population behaved poorly in non-Europeans. Prediction accuracy is greatly elevated in racial minority or underrepresented populations via the transfer learning method by leveraging shared genetic similarity from informative auxiliary populations.

A novel human specific lncRNA MEK6-AS1 regulates adipogenesis and fatty acid biosynthesis by stabilizing MEK6 mRNA

BACKGROUND

Obesity is becoming one of the major non-communicable diseases with increasing incidence and risks that cannot be ignored. However effective and safe clinical treatment strategies still need to be deeply explored. Increased number and volume of adipocytes lead to overweight and obesity. The aim of our work is to identify lncRNAs that have important regulatory in differentiation of human mesenchymal stem cells (MSCs) into adipocytes, and to provide effective targets for clinical prevention and treatment of obesity and related metabolic disorders.

METHODS

We extracted primary MSCs from human adipose tissue, and conducted expression profile analysis of lncRNAs during adipogenic differentiation of MSCs to screen changed lncRNAs. Characteristics of lncRNA were revealed mainly by RACE and RNA FISH. Loss- and gain-of function experiments in vivo and in vitro were used to analyze effects of lncRNA. Targeted metabolomics was utilized to detect levels of free fatty acids. RNA pull-down, mRNA stability tests, etc. were employed to explore mechanisms of lncRNA.

RESULTS

Human-specific lncRNA, we named it MEK6-AS1, was the most up-regulated transcript during adipogenic differentiation of MSCs. MEK6-AS1 was highly expressed in adipose tissue samples from individuals with BMI ≥ 25 and positively correlated with adipogenic marker genes in these samples. Knocking down lncRNA inhibited expression of adipogenic differentiation markers and ectopic adipogenesis, reducing contents of various free fatty acids, as well as promoting osteogenic differentiation. Overexpression of lncRNA had the opposite effects to the above processes. We also found that MEK6-AS1 was elevated during hepatic steatosis organoid generation. Mechanistically, MEK6-AS1 worked partially through stabilization of MEK6 mRNA by NAT10.

CONCLUSIONS

We have identified a human-specific lncRNA (MEK6-AS1) with position information in the genomic database but has not been extensively reported. We demonstrated that MEK6-AS1 as a novel lncRNA involved in adipogenic differentiation and adipogenesis, fatty acid metabolism, and osteogenic differentiation. We found that MEK6-AS1 may exert its effect by enhancing MEK6 mRNA stability through NAT10. Our study may provide insights into implication of lncRNAs in stem cell biology and offer a new potential therapeutic target for the prevention and treatment of obesity and other related disease.

Cerebellocerebral connectivity predicts body mass index: a new open-source Python-based framework for connectome-based predictive modeling

BACKGROUND

The cerebellum is one of the major central nervous structures consistently altered in obesity. Its role in higher cognitive function, parts of which are affected by obesity, is mediated through projections to and from the cerebral cortex. We therefore investigated the relationship between body mass index (BMI) and cerebellocerebral connectivity.

METHODS

We utilized the Human Connectome Project's Young Adults dataset, including functional magnetic resonance imaging (fMRI) and behavioral data, to perform connectome-based predictive modeling (CPM) restricted to cerebellocerebral connectivity of resting-state fMRI and task-based fMRI. We developed a Python-based open-source framework to perform CPM, a data-driven technique with built-in cross-validation to establish brain-behavior relationships. Significance was assessed with permutation analysis.

RESULTS

We found that (i) cerebellocerebral connectivity predicted BMI, (ii) task-general cerebellocerebral connectivity predicted BMI more reliably than resting-state fMRI and individual task-based fMRI separately, (iii) predictive networks derived this way overlapped with established functional brain networks (namely, frontoparietal networks, the somatomotor network, the salience network, and the default mode network), and (iv) we found there was an inverse overlap between networks predictive of BMI and networks predictive of cognitive measures adversely affected by overweight/obesity.

CONCLUSIONS

Our results suggest obesity-specific alterations in cerebellocerebral connectivity, specifically with regard to task execution. With brain areas and brain networks relevant to task performance implicated, these alterations seem to reflect a neurobiological substrate for task performance adversely affected by obesity.

Narrative and obesity: Managing weight stigma associated with bariatric surgery

The present study examined how individuals who have been clinically diagnosed as obese explain their decision to undergo bariatric surgery and how they deal with the stigmatization that such a decision may entail. A total of 23 participants (15 women and 8 men) who were awaiting bariatric surgery within the Spanish healthcare system, were interviewed about their weight trajectory and their decision to undergo this surgery. In order to examine the participants' stories, a narrative analysis of the interviews was conducted, with attention to both content (what they told) and structure (how they told) and examining the stories in line with the socially and culturally available narratives that they had access to, and the context in which the stories were produced. The participants explained their weight trajectory through the origin of their weight, the failure to control it, and their decision to have surgery to solve the weight problem. The narrative of a sick body that needs to be restored appeared to function as a schema or script through which participants attempted to defend themselves from anti-fat narratives that assume personal failure while at the same time presenting themselves as deserving to be operated on. Through their narratives, they positioned themselves as undeserving of stigma but did not challenge the stigma itself.

Click Reaction Inspired Enzyme Inhibitors in Diabetes Care: An Update in the Field of Chronic Metabolic Disorder

Diabetes is a chronic metabolic disorder that impacts all age groups and affects a large population worldwide. Humans receive glucose from almost every food source, and after absorption from the gut, it reaches the liver, which functions as the distribution center for it. The insulin-responsive glucose transporter type 4 (GLUT-4) is a major carrier of glucose to the various cells (majorly expressed in myocytes, adipocytes, and cardiomyocytes) in a well-fed state. In fasting periods, the glucose supply is maintained by glycogenolysis and gluconeogenesis. In diabetes, the distribution of glucose is hampered due to several reasons. Furthermore, to treat this disorder, several drugs have been synthesized, and click chemistry plays an important role. A more recent concept for producing pharmaceuticals with a click chemistry approach makes any reaction more practical and stereospecific, along with a higher yield of products and a smaller number of by-products. This approach comprises a compiled study of the activity of numerous compelling antidiabetic drugs containing 1,2,3-triazole derivatives supported by click chemistry. In this review, we discuss the synthetic antidiabetic drugs made via click chemistry and their commendable role in improving diabetes care.

The expanding landscape of genetic causes of obesity

Obesity and weight regulation disorders are determined by the combined effects of genetics and environment. Polygenic obesity results from the combination of common variants in several genes which predisposes the individual to obesity and its related complications. In contrast, monogenic obesity results from changes in single genes, especially those in leptin-melanocortin pathway, and presents with early onset severe obesity, with or without other syndromic features. Rare variants in melanocortin 4 receptor are the commonest form of monogenic obesity. In addition, structural variation in small or large segments of chromosomes may also present with syndromic forms of obesity. Prader-Willi Syndrome, caused by imprinting errors in chromosome 15q11-13, is the most prevalent genetic cause of severe hyperphagia and obesity. With the advances in technologies, the past decade has witnessed a revolution in the identification of novel genetic causes of obesity, primarily in genes related to the leptin melanocortin pathway. The availability of safe melanocortin analogs holds the potential for targeted therapies for some of these disorders. This review summarizes known and novel rare genetic forms of obesity, along with approaches for the clinical investigation of copy number and sequence variants. The goal is to provide a reference for practicing clinicians to encourage genetic testing in obesity. IMPACT: What does this article add to the existing literature? Genetic obesity is an expanding frontier with potential to change management. Here, we summarize current information on the genetic causes of obesity and provide guidance for genetic testing. Emerging treatments may provide targeted precise treatment and change management practices.

The prevalence of metabolically healthy obesity and its transition into the unhealthy state: A 5-year follow-up study

People with metabolically healthy obesity (MHO) are at risk of developing cardiometabolic diseases. We investigated the prevalence of MHO and factors influencing its transition into a metabolically unhealthy state (MUS). This study was conducted as part of the Kerman Coronary Artery Disease Risk Factor Study (KERCADRS). From 2014 to 2018, 9997 people were evaluated. The obesity and metabolic status of the MHO participants were re-examined after 5 years of their initial participation in the study. Out of 347 MHO, 238 individuals were accessed at follow-up. Twenty-nine (12.2%) had metabolic unhealthy normal weight (MUNW), 169 (71.0%) had metabolic unhealthy obesity (MUO), and the others had healthy metabolic state. Among age, total cholesterol, diastolic blood pressure and triglyceride (TG) variables, the baseline serum TG level was associated with a significant increase in the risk of developing MUS during 5 years (p <.05). The TG level optimal cut-off point for predicting the development into MUS was 107 mg/dL with 62.1% sensitivity and 77.5% specificity (AUC = 0.734, p <.001). A high percentage of MHO people transit into MUS during 5 years. A TG level higher than 107 mg/dL can help to identify people at a higher risk of developing into MUS.

Oct-B: A derivative of L-BAIBA significantly alleviating high-fat diet-induced obesity in mice

The rising prevalence of obesity is a global health concern. Supplementation with (S)-β-aminoisobutyric acid (L-BAIBA) has shown potential in preventing obesity and related metabolic disorders induced by high-fat diets. However, developing effective and low-toxicity BAIBA derivatives remains a challenging yet promising field. In this study, we introduce Oct-B, a novel BAIBA ester compound, which exhibits 80-fold greater efficacy than L-BAIBA in alleviating obesity in high-fat diet-fed mice. Our results demonstrate that Oct-B significantly reduces serum TG, TC, LDL-C, and the activities of ALT and AST, and also reduces TG and TC in liver, surpassing the effects of L-BAIBA. Histological analysis shows that Oct-B significantly decreases lipid accumulation in liver tissues, normalizes mast cells in white adipose tissue, and upregulates the expression of UCP1 protein in white adipose tissue. The qRT-PCR results indicated Oct-B alleviates obesity by downregulating lipogenic genes (PPARγ, ACC1, FAS), upregulating lipolysis related genes (PPARα, HSL) and thermogenic gene UCP1. Additionally, quantitative mass spectrometry reveals a marked increase in L-BAIBA levels in white fat, brown fat, serum, and muscle following Oct-B administration. These findings suggest that Oct-B is an efficient L-BAIBA substitute, offering a promising therapeutic approach for preventing and treating high-fat diet-induced obesity.

Visceral fat distribution: Interracial studies

Visceral adipose tissue, a type of abdominal adipose tissue, is highly involved in lipolysis. Because increased visceral adiposity is strongly associated with the metabolic complications related with obesity, such as type 2 diabetes and cardiovascular disease, there is a need for precise, targeted, personalized and site-specific measures clinically. Existing studies showed that ectopic fat accumulation may be characterized differently among different populations due to complex genetic architecture and non-genetic or epigenetic components, ie, Asians have more and Africans have less visceral fat vs Europeans. In this review, we summarize the effects of multiple non-genetic and genetic factors on visceral fat distribution across races. Non-genetic factors include diet, socioeconomic status, sex hormones and psychological factors, etc. We examine genetic factors of racial differences in visceral fat content as well as possible regulatory pathways associated with interracial visceral fat distribution. A comprehensive understanding of both genetic and non-genetic factors that influence the distribution of visceral fat among races, leads us to predict risk of abdominal obesity and metabolic diseases in ethnic groups that enables targeted interventions through accurate diagnosis and treatment as well as reduced risk of obesity-associated complications.

A systematic review of obesity burden in Saudi Arabia: Prevalence and associated co-morbidities

Introduction

Saudi Arabia has experienced an increasing trend in obesity prevalence in the last three decades; obesity is a significant risk factor for non-communicable diseases, which may cause healthcare and economic burdens. In this systematic review, we aim to explore the obesity prevalence, obesity-related complications (ORCs), and the economic burden of obesity in Saudi Arabia.

Methods

Literature searches for relevant local studies across Saudi Arabia spanning 2012 to 2022 were performed in PubMed and EMBASE, along with supplementary searches for relevant congress abstracts. Only studies that discussed obesity prevalence in Saudi Arabia in relation to any gender or age group, the prevalence of ORCs in Saudi Arabia for any gender or age group, and/or the economic burden of obesity and how it impacts the healthcare system in Saudi Arabia, and were published in the English language, were selected for inclusion. No age or gender restrictions were imposed.

Results

The prevalence of obesity in Saudi Arabia ranged from 20% to 39% and up to 19.4% among adults and adolescents, respectively. The most reported ORCs were hypertension (67.6%), type 2 diabetes (60.7%), and hypercholesterolaemia (51.3%), and an association between obesity and ORCs was established, showing an increased risk with increasing body mass index. The economic burden of obesity across Saudi Arabia was estimated to be 6.4 billion US dollars (USD) for treatment and management.

Conclusion

Obesity affects a substantial proportion of the Saudi general population and is a significant burden on individuals, as demonstrated by the prevalence of ORCs. Multifaceted, short- and long-term approaches involving interventions that operate at multiple levels and target both individuals and communities are urgently needed; there is a particular need for a national strategy and a specific, systems-based policy. Further research will help increase awareness of obesity and its management, which will be crucial for transforming the healthcare system under Vision 2030.

High-fat diet impact on prostate gland from adiponectin knockout mice: Morphometric, metabolic and inflammatory cytokines analyses

AIMS

Obesity is a global public health issue, and some studies have linked it to an increased risk of prostatic diseases. This study aimed to evaluate the effects of a high-fat diet on metabolic parameters and prostate morphology in wild-type (WT) and adiponectin knockout (KO) mice.

MAIN METHODS

Male WT and KO mice were fed a control diet (CD) or high-fat diet (HFD) for 6 months. Serum metabolic parameters, inflammatory cytokines in epididymal fat tissue, dorsal prostatic lobe morphometry and histopathology were analyzed.

KEY FINDINGS

CD WT and CD KO mice did not exhibit altered metabolic or prostatic parameters. However, HFD WT mice showed altered glucose and insulin tolerance even without excessive weight gain. On the other hand, HFD KO mice developed obesity, with an increase in low-density lipoprotein (11.8 ± 5.1 vs. 31.4 ± 3.6 mg/dL), high-density lipoprotein (73.4 ± 7.4 vs. 103.4 ± 2.5 mg/dL), and total cholesterol levels (126.2 ± 16.1 vs. 294.6 ± 23.2 mg/dL), a decrease in insulin levels (28.7 ± 12.2 vs. 4.6 ± 2.3 μIU/mL), and glucose and insulin resistance. We also observed that HFD KO animals display an increase in inflammatory cytokines, such as IL6, IL1β, and IL1RA. The dorsal prostate from HFD KO animals also presented significant increases in the mast cells (1.9 ± 0,7 vs. 5,3 ± 1.5 cells/field) and Ki67 index (2.91 ± 0.6 vs. 4.7 ± 0.4 %).

SIGNIFICANCE

The above findings highlight the complex interactions between adiponectin, metabolism, malnutrition, and prostate health. Metabolic deregulation combined with adipose inflammation potentially induces a proliferative and inflammatory microenvironment in the prostate gland under conditions of low adiponectin production, potentially impairing prostate morphophysiology in the context of obesity and aging.

Hesperidin and Fecal Microbiota Transplantation Modulate the Composition of the Gut Microbiota and Reduce Obesity in High Fat Diet Mice

Introduction

Obesity, which is associated with gut microbiota dysbiosis, low-grade chronic inflammation and intestinal barrier dysfunction, can cause a variety of chronic metabolic diseases. Phytochemical flavonoids have a variety of biological activities, among which there may be safe and effective anti-obesity solutions.

Methods

We tested a plant-derived flavonoid hesperidin and fecal microbiota transplantation (FMT) to alleviate diet-induced obesity. High-fat diet (HFD)-fed mice were treated with hesperidin (100 and 200 mg/kg BW) and FMT.

Results

Results indicated that hesperidin had the effects of reducing obesity as indicated by reduction of body weight, fat accumulation and blood lipids, reducing inflammation as indicated by reduction of pro-inflammation factors including TNFα, IL-6, IL-1βand iNOS, and improving gut integrity as indicated by increasing colon length, reducing plasma gut permeability indicators iFABP and LBP, increased mRNA expression of mucus protein Muc2, tight junction p Claudin 2, Occludin and ZO-1 in the HFD-fed mice. The anti-obesity effects of hesperidin treatment have a dose-dependent manner. In addition, 16S rRNA-based gut microbiota analysis revealed that hesperidin selectively promoted the growth of Lactobacillus salivarius, Staphylococcus sciuri and Desulfovibrio C21_c20 while inhibiting Bifidobacterium pseudolongum, Mucispirillum schaedleri, Helicobacter ganmani and Helicobacter hepaticus in the HFD-fed mice. Horizontal feces transfer from the normal diet (ND)-fed mice to the HFD-fed mice conferred anti-obesity effects and transmitted some of the HFD-modulated microbes.

Conclusion

We concluded that hesperidin and FMT both affect the reduction of body weight and improve HFD-related disorders in the HFD-fed mice possibly through modulating the composition of the gut microbiota.

Identification of BAF60b as a Chromatin-Remodeling Checkpoint of Diet-Induced Fatty Liver Disease

Overnutrition has gradually become the primary causative factor in nonalcoholic fatty liver disease (NAFLD). However, how nutritional signals are integrated to orchestrate the transcriptional programs important for NAFLD progression remains poorly understood. We identified hepatic BAF60b as a lipid-sensitive subunit of the switch/sucrose nonfermentable chromatin-remodeling complex that is negatively associated with liver steatosis in mice and humans. Hepatic BAF60b deficiency promotes high-fat diet (HFD)-induced liver steatosis in mice, whereas transgenic expression of BAF60b in the liver attenuates HFD-induced obesity and NAFLD, both accompanied by a marked regulation of peroxisome proliferator-activated receptor γ (PPARγ) expression. Mechanistically, through motif analysis of liver assay for transposase-accessible chromatin sequencing and multiple validation experiments, we identified C/EBPβ as the transcription factor that interacts with BAF60b to suppress Pparγ gene expression, thereby controlling hepatic lipid accumulation and NAFLD progression. This work identifies hepatic BAF60b as a negative regulator of liver steatosis through C/EBPβ-dependent chromatin remodeling.

ARTICLE HIGHLIGHTS

Aging reveals a sex-dependent susceptibility of sarcospan-deficient mice to cardiometabolic disease

Numerous genes including sarcospan (SSPN) have been designated as obesity-susceptibility genes by human genome-wide association studies. Variants in the SSPN locus have been linked with sex-dependent obesity-associated traits; however, this association has not been investigated in vivo. To delineate the role SSPN plays in regulating metabolism with potential to impact cardiac function, we subjected young and aged global SSPN-deficient (SSPN-/-) male and female mice to obesogenic conditions (60% fat diet). We hypothesized that loss of SSPN combined with metabolic stress would increase susceptibility of mice to cardiometabolic disease. Baseline and end-point assessments of several anthropometric parameters were performed including weight, glucose tolerance, and fat distribution of mice fed control (CD) and high-fat (HFD) diet. Doppler echocardiography was used to monitor cardiac function. White adipose and cardiac tissues were assessed for inflammation by histological, gene expression, and cytokine analysis. Overall, SSPN deficiency protected both sexes and ages from diet-induced obesity, with a greater effect in females. SSPN-/- HFD mice gained less weight than wild-type (WT) cohorts, while SSPN-/- CD groups increased weight. Furthermore, aged SSPN-/- mice developed glucose intolerance regardless of diet. Echocardiography showed preserved systolic function for all groups; however, aged SSPN-/- males exhibited significant increases in left ventricular mass (CD) and signs of diastolic dysfunction (HFD). Cytokine analysis revealed significantly increased IL-1α and IL-17Α in white adipose tissue from young SSPN-/- male mice, which may be protective from diet-induced obesity. Overall, these studies suggest that several sex-dependent mechanisms influence the role SSPN plays in metabolic responses that become evident with age.NEW & NOTEWORTHY Young and aged sarcospan (SSPN)-deficient mice were examined to assess the role of SSPN in obesity and cardiometabolic disease. Both sexes displayed a "leaner" phenotype in response to high-fat diet (HFD). Notably, several sex differences were identified in aged SSPN-deficient mice: 1) females developed glucose intolerance (control and HFD) and 2) males exhibited increased left ventricular mass (control) and diastolic dysfunction (HFD). Therefore, we conclude that SSPN exerts a sex-dependent influence on obesity-associated diseases.

Childhood adversity, accelerated GrimAge, and associated health consequences

Childhood adversity is linked to psychological, behavioral, and physical health problems, including obesity and cardiometabolic disease. Epigenetic alterations are one pathway through which the effects of early life stress and adversity might persist into adulthood. Epigenetic mechanisms have also been proposed to explain why cardiometabolic health can vary greatly between individuals with similar Body Mass Index (BMIs). We evaluated two independent cross-sectional cohorts of adults without known medical illness, one of which explicitly recruited individuals with early life stress (ELS) and control participants (n = 195), and the other a general community sample (n = 477). In these cohorts, we examine associations between childhood adversity, epigenetic aging, and metabolic health. Childhood adversity was associated with increased GrimAge Acceleration (GAA) in both cohorts, both utilizing a dichotomous yes/no classification (both p < 0.01) as well as a continuous measure using the Childhood Trauma Questionnaire (CTQ) (both p < 0.05). Further investigation demonstrated that CTQ subscales for physical and sexual abuse (both p < 0.05) were associated with increased GAA in both cohorts, whereas physical and emotional neglect were not. In both cohorts, higher CTQ was also associated with higher BMI and increased insulin resistance (both p < 0.05). Finally, we demonstrate a moderating effect of BMI on the relationship between GAA and insulin resistance where GAA correlated with insulin resistance specifically at higher BMIs. These results, which were largely replicated between two independent cohorts, suggest that interactions between epigenetics, obesity, and metabolic health may be important mechanisms through which childhood adversity contributes to long-term physical and metabolic health effects.

The complex web of obesity: from genetics to precision medicine

INTRODUCTION

Obesity is a growing public health concern affecting both children and adults. Since it involves both genetic and environmental components, the management of obesity requires both, an understanding of the underlying genetics and changes in lifestyle. The knowledge of obesity genetics will enable the possibility of precision medicine in anti-obesity medications.

AREAS COVERED

Here, we explore health complications and the prevalence of obesity. We discuss disruptions in energy balance as a symptom of obesity, examining evolutionary theories, its multi-factorial origins, and heritability. Additionally, we discuss monogenic and polygenic obesity, the converging biological pathways, potential pharmacogenomics applications, and existing anti-obesity medications - specifically focussing on the leptin-melanocortin and incretin pathways. Comparisons between childhood and adult obesity genetics are made, along with insights into structural variants, epigenetic changes, and environmental influences on epigenetic signatures.

EXPERT OPINION

With recent advancements in anti-obesity drugs, genetic studies pinpoint new targets and allow for repurposing existing drugs. This creates opportunities for genotype-informed treatment options. Also, lifestyle interventions can help in the prevention and treatment of obesity by altering the epigenetic signatures. The comparison of genetic architecture in adults and children revealed a significant overlap. However, more robust studies with diverse ethnic representation is required in childhood obesity.

Does machine learning have a high performance to predict obesity among adults and older adults? A systematic review and meta-analysis

AIM

Machine learning may be a tool with the potential for obesity prediction. This study aims to review the literature on the performance of machine learning models in predicting obesity and to quantify the pooled results through a meta-analysis.

DATA SYNTHESIS

A systematic review and meta-analysis were conducted, including studies that used machine learning to predict obesity. Searches were conducted in October 2023 across databases including LILACS, Web of Science, Scopus, Embase, and CINAHL. We included studies that utilized classification models and reported results in the Area Under the ROC Curve (AUC) (PROSPERO registration: CRD42022306940), without imposing restrictions on the year of publication. The risk of bias was assessed using an adapted version of the Transparent Reporting of a multivariable prediction model for individual Prognosis or Diagnosis (TRIPOD). Meta-analysis was conducted using MedCalc software. A total of 14 studies were included, with the majority demonstrating satisfactory performance for obesity prediction, with AUCs exceeding 0.70. The random forest algorithm emerged as the top performer in obesity prediction, achieving an AUC of 0.86 (95%CI: 0.76-0.96; I2: 99.8%), closely followed by logistic regression with an AUC of 0.85 (95%CI: 0.75-0.95; I2: 99.6%). The least effective model was gradient boosting, with an AUC of 0.77 (95%CI: 0.71-0.82; I2: 98.1%).

CONCLUSION

Machine learning models demonstrated satisfactory predictive performance for obesity. However, future research should utilize more comparable data, larger databases, and a broader range of machine learning models.

The role of FGF19 in metabolic regulation: insights from preclinical models to clinical trials

Fibroblast growth factor 19 (FGF19) is a hormone synthesized in enterocytes in response to bile acids. This review explores the pivotal role of FGF19 in metabolism, addressing the urgent global health concern of obesity and its associated pathologies, notably type 2 diabetes. The intriguing inverse correlation between FGF19 and body mass or visceral adiposity, as well as its rapid increase following bariatric surgery, emphasizes its potential as a therapeutic target. This article meticulously examines the impact of FGF19 on metabolism by gathering evidence primarily derived from studies conducted in animal models or cell lines, using both FGF19 treatment and genetic modifications. Overall, these studies demonstrate that FGF19 has antidiabetic and antiobesogenic effects. A thorough examination across metabolic tissues, including the liver, adipose tissue, skeletal muscle, and the central nervous system, is conducted, unraveling the intricate interplay of FGF19 across diverse organs. Moreover, we provide a comprehensive overview of clinical trials involving an FGF19 analog called aldafermin, emphasizing promising results in diseases such as nonalcoholic steatohepatitis and diabetes. Therefore, we aim to foster a deeper understanding of FGF19 role and encourage further exploration of its clinical applications, thereby advancing the field and offering innovative approaches to address the escalating global health challenge of obesity and related metabolic conditions.

Maternal-child overweight relationship, assessment of maternal perception of child weight status and feeding behaviours

BACKGROUND

Parents play a key role in constructing children' behaviours. We studies maternal-child overweight relationship and compared maternal perception of child weight status and feeding behaviours between groups of normal-weight and overweight children.

METHODS

The cross-sectional study was conducted on 192 girls aged 10-13 years and their mothers. They were divided to two groups of overweight (n = 94) and normal-weight (n = 98) children. Anthropometric characteristics were measured for children and mothers. Logistic regression analysis was used to examine the association between child overweight and tertiles of maternal body mass index (BMI). Maternal perception of child's weight status and her engagement in promoting child's healthy behaviours was assessed.

RESULTS

BMI and waist circumference was significantly higher in children (P < 0.001) and mothers (P < 0.01) of overweight compared to normal-weight group. There was a significant relationship between children's overweight and tertiles of maternal BMI, which remained significant after adjusting for potential confounders. Mothers of overweight children were more concerned for their child's overeating and overweight, and for compelling the child to diet to maintain a desirable weight (P < 0.001). In contrast, mothers of normal-weight children restricted sugar-sweetened drinks (P = 0.008), offered fruit and vegetables (P = 0.035), and helped their children to get enough physical activity (P = 0.022) and night sleep (P = 0.001) more than mothers in other group.

CONCLUSIONS

This study showed a strong relationship between children and mothers' overweight. Despite being more concerned about their child weight status, mothers of overweight children reported behaviours which were less encouraging the children for healthy eating and lifestyle than mothers of normal-weight children.

Intuitive eating in the COVID-19 era: a study with university students in Brazil

BACKGROUND

The recurrence of weight gain is attributed to the homeostatic regulation of hunger and satiety signals, influenced by metabolic state, nutrient availability, and non-homeostatic mechanisms shaped by reinforced consequences from experiences. In response, Evelyn Tribole and Elyse Resch proposed Intuitive Eating (IE) in 1980, countering restrictive diets. IE, inversely correlated with Body Mass Index (BMI), binge eating, and anxiety/depression symptoms, fosters mind-body-food harmony by recognizing hunger and satiety cues. IE encourages meeting physiological, not emotional, needs, permitting unconditional eating, and relying on internal signals for food decisions. Amidst university students' stress, exacerbated during the COVID-19 pandemic, understanding their eating behavior, particularly intuitive eating levels, becomes crucial.

OBJECTIVE

This study aimed to assess the IE level of Brazilian students during the COVID-19 pandemic.

METHODS

This cross-sectional study, the first to analyze the Intuitive Eating of students in Brazil during the pandemic, was conducted using an online questionnaire.

RESULTS

The sample comprised 1335 students, most of whom were women (82.17%), with a mean age of 26.12 ± 7.9 years, and a healthy nutritional status (57.58%). The mean IE score was 3.2 ± 0.6. A significant association was found between the confinement situation, the type of housing unit, and the IE subscale-Unconditional Permission to Eat (p = 0.043). However, there was no association between the other subscales and the total IE scale. Regarding self-reported mental and eating disorders, the most frequent were anxiety (21.2%), depression (6.5%), and binge eating disorder (BED) (4.7%). IE was negatively associated with BED (B =  - 0.66; p < .001), bulimia nervosa (B =  - 0.58; p < .001), body mass index (BMI) (p < .001) and self-reported anxiety (B =  - .102; p = 0.16). The male sex showed a higher IE score compared with the female sex (p < .001).

CONCLUSION

While no significant association was found between IE and the confinement situation, a significant association was found between housing type and the Unconditional Permission to Eat subscale.

Dual Regulation Mechanism of Obesity: DNA Methylation and Intestinal Flora

Obesity is a multifactorial chronic inflammatory metabolic disorder, with pathogenesis influenced by genetic and non-genetic factors such as environment and diet. Intestinal microbes and their metabolites play significant roles in the occurrence and development of obesity by regulating energy metabolism, inducing chronic inflammation, and impacting intestinal hormone secretion. Epigenetics, which involves the regulation of host gene expression without changing the nucleotide sequence, provides an exact direction for us to understand how the environment, lifestyle factors, and other risk factors contribute to obesity. DNA methylation, as the most common epigenetic modification, is involved in the pathogenesis of various metabolic diseases. The epigenetic modification of the host is induced or regulated by the intestinal microbiota and their metabolites, linking the dynamic interaction between the microbiota and the host genome. In this review, we examined recent advancements in research, focusing on the involvement of intestinal microbiota and DNA methylation in the etiology and progression of obesity, as well as potential interactions between the two factors, providing novel perspectives and avenues for further elucidating the pathogenesis, prevention, and treatment of obesity.

Association of parental obesity with the profile of metabolic-bariatric surgery patients: a cohort study of the German StuDoQ|MBE registry

OBJECTIVES

To investigate the association of parental obesity (PO) with onset of obesity, pre-surgical disease duration and body mass index (BMI) at the time of surgery in patients undergoing metabolic-bariatric surgery (MBS).

DESIGN

This is a cohort study of the German StuDoQ registry for metabolic-bariatric diseases. All surgical cases from initiation of the registry in September 2015 until August 2020 were screened for pertinent information.

SETTING

The registry is based on participating German hospitals of various sizes.

PARTICIPANTS

A total of 11 891 patients were included in this analysis, 74.2% of which were females and 25.8% males. Roux-en-Y gastric bypass was performed in 5652 (47.5%) cases, sleeve gastrectomy in 4618 (38.8%) cases and one-anastomosis gastric bypass in 1621 (13.6%) cases.

RESULTS

One-sided and two-sided PO are independently associated with early-onset obesity (OR 1.61, [95% CI, 1.47 to 1.76], p<0.001 and OR 2.45, [95% CI, 2.22 to 2.71], p<0.001) and prolonged pre-surgical disease duration (regression coefficient 2.39, [95% CI, 1.93 to 2.83], p<0.001 and regression coefficient 4.27, [95% CI, 3.80 to 4.75], p<0.001). Unlike one-sided PO, two-sided PO had a significant association with BMI at the time of surgery (regression coefficient 0.49, [95% CI, 0.14 to 0.85], p=0.006). Age at the onset of obesity and disease duration had a negative association with BMI at the time of surgery (regression coefficient -0.13, [95% CI, -0.14 to -0.11], p<0.001 and regression coefficient -0.05, [95% CI, -0.07 to -0.04], p<0.001).

CONCLUSIONS

This study established a clear association between PO status of patients undergoing MBS and their pre-surgical patient profile as well as known risk factors for poor postoperative response.

Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity

Obesity reflects excessive fat deposits. At-risk individuals are guided by healthcare professionals to eat fewer calories and exercise more, often using body mass index (BMI; weight/height2) thresholds for screening and to guide progress and prognosis. By conducting a mini-narrative review of original articles, websites, editorials, commentaries, and guidelines, we sought to place BMI in the context of its appropriate use in population health, clinical screening, and monitoring in clinical care. The review covers studies and publications through 2023, encompassing consensus reviews and relevant literature. Recent consensus reviews suggest that BMI is a valuable tool for population surveys and primary healthcare screening but has limitations in predicting the risk of chronic diseases and assessing excess fat. BMI can guide nutritional and exercise counseling, even if it is inadequate for reliable individual risk prediction. BMI cut-offs must be reconsidered in populations of varying body build, age, and/or ethnicity. Since BMI-diagnosed overweight persons are sometimes physically and physiologically fit by other indicators, persons who are overweight on BMI should be more fully evaluated, diagnosed, and monitored with combined anthropometric and performance metrics to better clarify risks. The use of combined anthropometric and performance metrics involves integrating measurements of body composition with assessments of physical function and fitness to provide a more comprehensive evaluation of an individual's health and fitness status. Eligibility for bariatric surgery or semaglutide satiety/appetite-reduction medications should not be determined by BMI alone. Awareness of the advantages and limitations of using BMI as a tool to assess adult obesity can maximize its appropriate use in the context of population health and in rapid clinical screening and evaluation.

Hedonic hunger, eating behavior, and food reward and preferences 1 year after initial weight loss by diet or bariatric surgery

OBJECTIVE

The objective of this study was to investigate changes in hedonic hunger, eating behavior, and food reward and preferences at 1-year (1Y) follow-up after an initial weight loss (WL) induced by a 10-week, very low-energy diet alone (controls) or in combination with bariatric surgery.

METHODS

Patients scheduled for sleeve gastrectomy or Roux-en-Y gastric bypass and controls were recruited. Body weight/composition, hedonic hunger (Power of Food Scale), eating behavior traits (Dutch Eating Behavior Questionnaire and Three-Factor Eating Questionnaire), and food reward and preferences (computerized behavioral task) were measured at baseline, 11 weeks, and 1Y follow-up.

RESULTS

Changes in anthropometric variables were comparable across groups in the initial phase (week 11), and hedonic hunger decreased overall. The bariatric-surgery groups continued to lose body weight and fat mass, whereas weight regain was seen in controls at 1Y follow-up. Decreases in emotional eating, hunger, disinhibition, and food reward and increases in dietary restraint were seen at 1Y follow-up in the bariatric-surgery groups only.

CONCLUSIONS

Continued WL with bariatric surgery is paralleled by favorable changes in eating behavior and food reward and preferences. By contrast, controls experienced weight regain at 1Y follow-up and no changes in eating behavior. These striking differences are likely to be important in the long-term WL management of individuals with severe obesity.

Variability of polygenic prediction for body mass index in Africa

BACKGROUND

Polygenic prediction studies in continental Africans are scarce. Africa's genetic and environmental diversity pose a challenge that limits the generalizability of polygenic risk scores (PRS) for body mass index (BMI) within the continent. Studies to understand the factors that affect PRS variability within Africa are required.

METHODS

Using the first multi-ancestry genome-wide association study (GWAS) meta-analysis for BMI involving continental Africans, we derived a multi-ancestry PRS and compared its performance to a European ancestry-specific PRS in continental Africans (AWI-Gen study) and a European cohort (Estonian Biobank). We then evaluated the factors affecting the performance of the PRS in Africans which included fine-mapping resolution, allele frequencies, linkage disequilibrium patterns, and PRS-environment interactions.

RESULTS

Polygenic prediction of BMI in continental Africans is poor compared to that in European ancestry individuals. However, we show that the multi-ancestry PRS is more predictive than the European ancestry-specific PRS due to its improved fine-mapping resolution. We noted regional variation in polygenic prediction across Africa's East, South, and West regions, which was driven by a complex interplay of the PRS with environmental factors, such as physical activity, smoking, alcohol intake, and socioeconomic status.

CONCLUSIONS

Our findings highlight the role of gene-environment interactions in PRS prediction variability in Africa. PRS methods that correct for these interactions, coupled with the increased representation of Africans in GWAS, may improve PRS prediction in Africa.

Trend in the Prevalence of Overweight and Obese Adults in São Paulo, Brazil: Analysis between the Years 2006 and 2019

The aim of this study was to investigate the trend in the prevalence of overweight and obese adults in São Paulo, Brazil, between 2006 and 2019 across chronic diseases and the domains of physical activity. A descriptive retrospective study was carried out on the trend in the prevalence of 26.612 overweight and obese adults (10.150 men and 16.462 women). All data analyzed were based on information from the national system for monitoring risk factors called Protective and Risk Factors for Chronic Diseases by Telephone Survey-VIGITEL. The variables obese and overweight were analyzed in general and stratified by sex, age group, education level, each type of physical activity domain (yes or no), presence of hypertension and diabetes (yes or no), and smoking (yes or no). The prevalence of obesity significantly increased from 11.1% in 2006 to 19.8% in 2019, regardless of age, sex, physical activity practice, and presence of diabetes or hypertension, except for people aged 55-64 y, working people, and smokers. The total prevalence of overweight adults significantly increased overall (from 30.5% in 2006 to 33.4% in 2019) but it significantly increased only in females, in people aged 18-24 y, those who are non-white, those with an education level of 9-11 y, those who are not working, those who are non-smokers, those who did not have diabetes or hypertension, and those who were not physically active during leisure time but physically active at work and at home. There was a significant increase in the prevalence of overweight adults and especially of obese adults living in the city of São Paulo (Brazil) between 2006 and 2019, the latter being observed in nearly every analyzed sub-category, regardless of age, sex, physical activity practice, and presence of diabetes or hypertension.

miRNAs as Interconnectors between Obesity and Cancer

Obesity and cancer are a concern of global interest. It is proven that obesity may trigger the development or progression of some types of cancer; however, the connection by non-coding RNAs has not been totally explored. In the present review, we discuss miRNAs and lncRNAs dysregulation involved in obesity and some cancers, shedding light on how these conditions may exacerbate one another through the dysregulation of ncRNAs. lncRNAs have been reported as regulating microRNAs. An in silico investigation of lncRNA and miRNA interplay is presented. Our investigation revealed 44 upregulated and 49 downregulated lncRNAs in obesity and cancer, respectively. miR-375, miR-494-3p, miR-1908, and miR-196 were found interacting with 1, 4, 4 and 4 lncRNAs, respectively, which are involved in PPARγ cell signaling regulation. Additionally, miR-130 was found to be downregulated in obesity and reported as modulating 5 lncRNAs controlling PPARγ cell signaling. Similarly, miR-128-3p and miR-143 were found to be downregulated in obesity and cancer, interacting with 5 and 4 lncRNAs, respectively, associated with MAPK cell signaling modulation. The delicate balance between miRNA and lncRNA expression emerges as a critical determinant in the development of obesity-associated cancers, presenting these molecules as promising biomarkers. However, additional and deeper studies are needed to reach solid conclusions about obesity and cancer connection by ncRNAs.

Clinically Effective Molecules of Natural Origin for Obesity Prevention or Treatment

The prevalence and incidence of obesity and the comorbidities linked to it are increasing worldwide. Current therapies for obesity and associated pathologies have proven to cause a broad number of adverse effects, and often, they are overpriced or not affordable for all patients. Among the alternatives currently available, natural bioactive compounds stand out. These are frequently contained in pharmaceutical presentations, nutraceutical products, supplements, or functional foods. The clinical evidence for these molecules is increasingly solid, among which epigallocatechin-3-gallate, ellagic acid, resveratrol, berberine, anthocyanins, probiotics, carotenoids, curcumin, silymarin, hydroxy citric acid, and α-lipoic acid stand out. The molecular mechanisms and signaling pathways of these molecules have been shown to interact with the endocrine, nervous, and gastroenteric systems. They can regulate the expression of multiple genes and proteins involved in starvation-satiety processes, activate the brown adipose tissue, decrease lipogenesis and inflammation, increase lipolysis, and improve insulin sensitivity. This review provides a comprehensive view of nature-based therapeutic options to address the increasing prevalence of obesity. It offers a valuable perspective for future research and subsequent clinical practice, addressing everything from the molecular, genetic, and physiological bases to the clinical study of bioactive compounds.

The Potential Effects of Dietary Antioxidants in Obesity: A Comprehensive Review of the Literature

Obesity has become a global health concern, with its prevalence steadily increasing in recent decades. It is associated with numerous health complications, including cardiovascular diseases, diabetes, and certain types of cancer. The aetiology of obesity is multifactorial, involving genetic, environmental, and lifestyle factors. In recent years, oxidative stress has emerged as a potential contributor to obesity and its related metabolic disorders. Dietary antioxidants, which can counteract oxidative stress, have gained significant attention for their potential role in preventing and managing obesity. This comprehensive review aims to explore the impact of dietary antioxidants on obesity and its associated metabolic dysregulations, discussing the underlying mechanisms and highlighting the potential therapeutic implications.

Chronic stress from adolescence to adulthood increases adiposity and anxiety in rats with decreased expression of Krtcap3

We previously identified Keratinocyte-associated protein 3, Krtcap3, as a novel adiposity gene, but subsequently found that its impact on adiposity may depend on environmental stress. To more thoroughly understand the connection between Krtcap3, adiposity, and stress, we exposed wild-type (WT) and Krtcap3 knock-out (KO) rats to chronic stress then measured adiposity and behavioral outcomes. We found that KO rats displayed lower basal stress than WT rats under control conditions and exhibited metabolic and behavioral responses to chronic stress exposure. Specifically, stress-exposed KO rats gained more weight, consumed more food when socially isolated, and displayed more anxiety-like behaviors relative to control KO rats. Meanwhile, there were minimal differences between control and stressed WT rats. At study conclusion stress-exposed KO rats had increased corticosterone (CORT) relative to control KO rats with no differences between WT rats. In addition, KO rats, independent of prior stress exposure, had an increased CORT response to removal of their cage-mate (psychosocial stress), which was only seen in WT rats when exposed to chronic stress. Finally, we found differences in expression of the glucocorticoid receptor, Nr3c1, in the pituitary and colon between control and stress-exposed KO rats that were not present in WT rats. These data support that Krtcap3 expression affects stress response, potentially via interactions with Nr3c1, with downstream effects on adiposity and behavior. Future work is necessary to more thoroughly understand the role of Krtcap3 in the stress response.

A comprehensive review of genetic causes of obesity

BACKGROUND

Obesity is a multifactorial chronic disease with a high, increasing worldwide prevalence. Genetic causes account for 7% of the cases in children with extreme obesity.

DATA SOURCES

This narrative review was conducted by searching for papers published in the PubMed/MEDLINE, Embase and SciELO databases and included 161 articles. The search used the following search terms: "obesity", "obesity and genetics", "leptin", "Prader-Willi syndrome", and "melanocortins". The types of studies included were systematic reviews, clinical trials, prospective cohort studies, cross-sectional and prospective studies, narrative reviews, and case reports.

RESULTS

The leptin-melanocortin pathway is primarily responsible for the regulation of appetite and body weight. However, several important aspects of the pathophysiology of obesity remain unknown. Genetic causes of obesity can be grouped into syndromic, monogenic, and polygenic causes and should be assessed in children with extreme obesity before the age of 5 years, hyperphagia, or a family history of extreme obesity. A microarray study, an analysis of the melanocortin type 4 receptor gene mutations and leptin levels should be performed for this purpose. There are three therapeutic levels: lifestyle modifications, pharmacological treatment, and bariatric surgery.

CONCLUSIONS

Genetic study technologies are in constant development; however, we are still far from having a personalized approach to genetic causes of obesity. A significant proportion of the affected individuals are associated with genetic causes; however, there are still barriers to its approach, as it continues to be underdiagnosed. Video Abstract (MP4 1041807 KB).

Epigenetic Network in Immunometabolic Disease

Although a large amount of data consistently shows that genes affect immunometabolic characteristics and outcomes, epigenetic mechanisms are also heavily implicated. Epigenetic changes, including DNA methylation, histone modification, and noncoding RNA, determine gene activity by altering the accessibility of chromatin to transcription factors. Various factors influence these alterations, including genetics, lifestyle, and environmental cues. Moreover, acquired epigenetic signals can be transmitted across generations, thus contributing to early disease traits in the offspring. A closer investigation is critical in this aspect as it can help to understand the underlying molecular mechanisms further and gain insights into potential therapeutic targets for preventing and treating diseases arising from immuno-metabolic dysregulation. In this review, the role of chromatin alterations in the transcriptional modulation of genes involved in insulin resistance, systemic inflammation, macrophage polarization, endothelial dysfunction, metabolic cardiomyopathy, and nonalcoholic fatty liver disease (NAFLD), is discussed. An overview of emerging chromatin-modifying drugs and the importance of the individual epigenetic profile for personalized therapeutic approaches in patients with immuno-metabolic disorders is also presented.

Invasively measured and estimated central blood pressure using the oscillometric algorithm Antares in patients with and without obesity

BACKGROUND

Obesity is a global health concern and risk factor for cardiovascular disease. The assessment of central blood pressure (cBP) has been shown to improve prediction of cardiovascular events. However, few studies have investigated the impact of obesity on cBP in adults, and invasive data on this issue are lacking. This study aimed to evaluate cBP differences between patients with and without obesity, identify cBP determinants, and evaluate the accuracy of the algorithm Antares for non-invasive cBP estimation.

METHODS

A total of 190 patients (25% female; 39% with BMI ≥30kg/m2; age: 67±12 years) undergoing elective cardiac catheterization were included. cBP was measured invasively and simultaneously estimated non-invasively using the custo screen 400 device with integrated Antares algorithm.

RESULTS

No significant cBP differences were found between obese and non-obese patients. However, females, especially those with obesity, had higher systolic cBP compared to males (P<0.05). Multiple regression analysis showed that brachial mean arterial pressure, pulse pressure, BMI, and heart rate predicted cBP significantly (adjusted R2 = 0.82, P<0.001). Estimated cBP correlated strongly with invasive cBP for systolic, mean arterial, and diastolic cBP (r = 0.74-0.93, P<0.001) and demonstrated excellent accuracy (mean difference <5 and SD <8 mmHg).

CONCLUSIONS

This study discovered no significant difference in cBP between obese and non-obese patients. However, it revealed higher cBP values in women, especially those with obesity, which requires further investigation. Additionally, the study highlights Antares' effectiveness in non-invasively determining cBP in obese individuals. This could improve the diagnosis and treatment of hypertension in this special patient population.

Ginsenoside Rc: A potential intervention agent for metabolic syndrome

Ginsenoside Rc, a dammarane-type tetracyclic triterpenoid saponin primarily derived from Panax ginseng, has garnered significant attention due to its diverse pharmacological properties. This review outlined the sources, putative biosynthetic pathways, extraction, and quantification techniques, as well as the pharmacokinetic properties of ginsenoside Rc. Furthermore, this study explored the pharmacological effects of ginsenoside Rc against metabolic syndrome (MetS) across various phenotypes including obesity, diabetes, atherosclerosis, non-alcoholic fatty liver disease, and osteoarthritis. It also highlighted the impact of ginsenoside Rc on multiple associated signaling molecules. In conclusion, the anti-MetS effect of ginsenoside Rc is characterized by its influence on multiple organs, multiple targets, and multiple ways. Although clinical investigations regarding the effects of ginsenoside Rc on MetS are limited, its proven safety and tolerability suggest its potential as an effective treatment option.

Sex and Race Differences in Obesity-Related Genetic Susceptibility and Risk of Cardiometabolic Disease in Older US Adults

Importance

The fat mass and obesity-associated gene (FTO) is associated with obesity phenotypes, but the association is inconsistent across populations. Within-population differences may explain some of the variability observed.

Objective

To investigate sex differences in the association between FTO single-nucleotide variants (SNVs) and obesity traits among self-identified non-Hispanic Black and non-Hispanic White US adults, to examine whether the SNVs were associated with cardiometabolic diseases, and to evaluate whether obesity mediated the association between FTO SNVs and cardiometabolic diseases.

Design, Setting, and Participants

This cross-sectional study used data from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, a US population-based cohort study with available genetic data (assayed in 2018) and phenotypic data at baseline (enrolled 2003-2007). Participants were aged 45 to 98 years at baseline. Data were analyzed from October 2021 to October 2022.

Exposures

Eleven SNVs in the FTO gene present among both Black and White participants.

Main Outcomes and Measures

Objectively measured obesity indicators (body mass index and waist-to-height ratio), objectively measured and/or self-reported cardiometabolic diseases (hypertension, stroke history, heart disease, and diabetes), and self-reported social-economic and psychosocial status.

Results

A total of 10 447 participants (mean [SD] age, 64.4 [9.7] years; 5276 [55.8%] women; 8743 [83.7%] Black and 1704 [16.3%] White) were included. In the White group, 11 FTO SNVs were significantly associated with obesity, hypertension, and diabetes using linear models (eg, body mass index: β = 0.536; 95% CI, 0.197-0.875), but none of the FTO SNVs were associated with obesity traits in the Black group. White males had a higher risk of obesity while White females had a higher risk of hypertension and diabetes. However, 1 FTO SNV (rs1121980) was associated with a direct increase in the risk of heart disease in Black participants not mediated by obesity (c' = 0.145 [SE, 0.0517]; P = .01).

Conclusions and Relevance

In this cross-sectional study of obesity phenotypes and their association with cardiometabolic diseases, the tested FTO SNVs reflected sex differences in White participants. Different patterns of associations were observed among self-identified Black participants. Therefore, these results could inform future work discovering risk alleles or risk scores unique to Black individuals or further investigating genetic risk in all US residents.

Polygenic risk of obesity and BMI trajectories over 36 years: A longitudinal study of adult Finnish twins

OBJECTIVE

This study investigated 36-year BMI trajectories in twins whose BMI in young adulthood was below, within, or above their genetically predicted BMI, with a focus on twin pairs with large intrapair BMI differences (within-pair ΔBMI ≥ 3 kg/m2 ).

METHODS

Together, 3227 like-sexed twin pairs (34% monozygotic) were examined at age ~30 years in 1975 and followed up in 1981, 1990, and 2011. An individual's observed BMI in 1975 was considered within (±2.0), below (<-2.0), or above (>+2.0) genetically predicted BMI, measured by a polygenic risk score of 996,919 single nucleotide polymorphisms.

RESULTS

In monozygotic and dizygotic twin pairs with large intrapair BMI differences, the co-twin with a higher observed BMI in 1975 deviated above predicted BMI more frequently (~2/3) than the co-twin with a lower BMI deviated below prediction (~1/3). Individuals below, within, and above prediction in 1975 reached, respectively, normal weight, overweight, and obesity by 2011, with a mean BMI increase of 4.5 (95% CI: 4.3-4.8).

CONCLUSIONS

Categorizing BMI as below, within, or above polygenic risk score-predicted BMI helps identifying individuals who have been resistant or susceptible to weight gain. This may provide new insights into determinants and consequences of obesity.

Familial coaggregation of MASLD with hepatocellular carcinoma and adverse liver outcomes: Nationwide multigenerational cohort study

BACKGROUND & AIMS

Metabolic dysfunction-associated steatotic liver disease (MASLD; formerly NAFLD) is the fastest growing cause of hepatocellular carcinoma (HCC) worldwide. However, whether family members of individuals with MASLD also share an increased risk of developing HCC is unknown.

METHODS

This nationwide multigenerational cohort study involved family members of all Swedish adults diagnosed with biopsy-proven MASLD (1969-2017), and matched general population comparators. Using the Swedish Multi-generation Register, we identified 38,018 first-degree relatives (FDRs: parents, siblings, offspring) and 9,381 spouses of patients with MASLD, as well as 197,303 comparator FDRs and 47,572 comparator spouses. We used Cox proportional hazards models to calculate adjusted hazard ratios (aHRs) for HCC, major adverse liver outcomes (cirrhosis, decompensated liver disease or liver transplantation), liver-related mortality, extrahepatic cancer, and non-liver-related mortality.

RESULTS

Over a median of 17.6 years, the rate of the primary outcome HCC was higher in MASLD FDRs vs. comparator FDRs (13 vs. 8/100,000 person-years [PY]; aHR 1.80, 95% CI 1.36-2.37). The HCC risk was further increased in FDRs of individuals with liver fibrosis/cirrhosis (aHR 2.14, 95% CI 1.07-4.27; PHeterogeneity = 0.03). MASLD FDRs also had higher rates of major adverse liver outcomes (73 vs. 51/100,000 PY; aHR 1.52, 95% CI 1.36-1.69) and liver-related mortality (20 vs. 11/100,000 PY; aHR 2.14, 95% CI 1.67-2.74). MASLD FDRs with any concomitant chronic liver condition experienced accelerated progression of liver disease (aHR 1.47, 95% CI 1.29-1.67). MASLD spouses were at higher risks of major adverse liver outcomes (86 vs. 74/100,000 PY; aHR 1.23, 95% CI 1.01-1.51) and liver-related mortality (25 vs. 19/100,000 PY; aHR 1.93, 95% CI 1.15-3.23), but not of HCC (aHR 1.43, 95% CI 0.87-2.35).

CONCLUSIONS

There is distinct familial clustering of adverse liver-related outcomes in families of individuals with biopsy-proven MASLD, with higher relative risks of HCC, progressive liver disease, and liver-related mortality, but absolute risks are low.

IMPACT AND IMPLICATIONS

Metabolic dysfunction-associated steatotic liver disease (MASLD; formerly termed NAFLD) clusters in families with high genetic susceptibility and shared environmental risk factors, but the risks of developing hepatocellular carcinoma and other major liver-related outcomes in family members of individuals with MASLD are largely unknown. This large nationwide multigenerational cohort study involving family members (first-degree relatives and spouses) of individuals with biopsy-proven MASLD and of matched general population comparators found slightly increased risks of hepatocellular carcinoma in first-degree relatives, and of developing cirrhosis and liver-related mortality in all family members of individuals with biopsy-proven MASLD. The findings of this study provide large-scale evidence to inform clinical practice guidelines for recommendations on the early identification of individuals at higher risk of liver-related morbidity and mortality.

White adipose tissue: Distribution, molecular insights of impaired expandability, and its implication in fatty liver disease

We are far behind the 2025 World Health Organization (WHO) goal of a zero increase in obesity. Close to 360 million people in Latin America and the Caribbean are overweight, with the highest rates observed in the Bahamas, Mexico, and Chile. To achieve relevant progress against the obesity epidemic, scientific research is essential to establish uniform practices in the study of obesity pathophysiology (using pre-clinical and clinical models) that ensure accuracy, reproducibility, and transcendent outcomes. The present review focuses on relevant aspects of white adipose tissue (WAT) expansion, underlying mechanisms of inefficient expandability, and its repercussion in ectopic lipid accumulation in the liver during nutritional abundance. In addition, we highlight the potential role of disrupted circadian rhythm in WAT metabolism. Since genetic factors also play a key role in determining an individual's predisposition to weight gain, we describe the most relevant genes associated with obesity in the Mexican population, underlining that most of them are related to appetite control.

Obesity as a Neuroendocrine Disorder

Obesity is one of the most prevalent diseases in the world. Based on hundreds of clinical and basic investigations, its etiopathogenesis goes beyond the simple imbalance between energy intake and expenditure. The center of the regulation of appetite and satiety lies in the nuclei of the hypothalamus where peripheral signals derived from adipose tissue (e.g., leptin), the gastrointestinal tract, the pancreas, and other brain structures, arrive. These signals are part of the homeostatic control system (eating to survive). Additionally, a hedonic or reward system (eating for pleasure) is integrated into the regulation of appetite. This reward system consists of a dopaminergic circuit that affects eating-related behaviors influencing food preferences, food desires, gratification when eating, and impulse control to avoid compulsions. These systems are not separate. Indeed, many of the hormones that participate in the homeostatic system also participate in the regulation of the hedonic system. In addition, factors such as genetic and epigenetic changes, certain environmental and sociocultural elements, the microbiota, and neuronal proinflammatory effects of high-energy diets also contribute to the development of obesity. Therefore, obesity can be considered a complex neuroendocrine disease, and all of the aforementioned components should be considered for the management of obesity.

FTO: a critical role in obesity and obesity-related diseases

In recent years, obesity is a growing pandemic in the world and has likely contributed to increasing the incidence of obesity-related diseases. Fat mass and obesity-associated gene (FTO) is the first gene discovered which has a close connection with fat. Recent studies suggested that FTO gene has played an important role in the molecular mechanisms of many diseases. Obesity is considered to be a hereditary disease and can evoke many kinds of diseases, including polycystic ovary syndrome (PCOS), type 2 diabetes mellitus (T2DM), cancer, etc., whose exact possible molecular mechanisms responsible for the effect of FTO on obesity and obesity-related diseases remain largely unknown. In this review, we comprehensively discuss the correlation between FTO gene and obesity, cancer, PCOS, T2DM, as well as the molecular mechanism involved in these diseases.

Decoding the Influence of Obesity on Prostate Cancer and Its Transgenerational Impact

In recent decades, the escalating prevalence of metabolic disorders, notably obesity and being overweight, has emerged as a pressing concern in public health. Projections for the future indicate a continual upward trajectory in obesity rates, primarily attributable to unhealthy dietary patterns and sedentary lifestyles. The ramifications of obesity extend beyond its visible manifestations, intricately weaving a web of hormonal dysregulation, chronic inflammation, and oxidative stress. This nexus of factors holds particular significance in the context of carcinogenesis, notably in the case of prostate cancer (PCa), which is a pervasive malignancy and a leading cause of mortality among men. A compelling hypothesis arises from the perspective of transgenerational inheritance, wherein genetic and epigenetic imprints associated with obesity may wield influence over the development of PCa. This review proposes a comprehensive exploration of the nuanced mechanisms through which obesity disrupts prostate homeostasis and serves as a catalyst for PCa initiation. Additionally, it delves into the intriguing interplay between the transgenerational transmission of both obesity-related traits and the predisposition to PCa. Drawing insights from a spectrum of sources, ranging from in vitro and animal model research to human studies, this review endeavors to discuss the intricate connections between obesity and PCa. However, the landscape remains partially obscured as the current state of knowledge unveils only fragments of the complex mechanisms linking these phenomena. As research advances, unraveling the associated factors and underlying mechanisms promises to unveil novel avenues for understanding and potentially mitigating the nexus between obesity and the development of PCa.

Unveiling the future of metabolic medicine: omics technologies driving personalized solutions for precision treatment of metabolic disorders

Metabolic disorders are increasingly prevalent worldwide, leading to high rates of morbidity and mortality. The variety of metabolic illnesses can be addressed through personalized medicine. The goal of personalized medicine is to give doctors the ability to anticipate the best course of treatment for patients with metabolic problems. By analyzing a patient's metabolomic, proteomic, genetic profile, and clinical data, physicians can identify relevant diagnostic, and predictive biomarkers and develop treatment plans and therapy for acute and chronic metabolic diseases. To achieve this goal, real-time modeling of clinical data and multiple omics is essential to pinpoint underlying biological mechanisms, risk factors, and possibly useful data to promote early diagnosis and prevention of complex diseases. Incorporating cutting-edge technologies like artificial intelligence and machine learning is crucial for consolidating diverse forms of data, examining multiple variables, establishing databases of clinical indicators to aid decision-making, and formulating ethical protocols to address concerns. This review article aims to explore the potential of personalized medicine utilizing omics approaches for the treatment of metabolic disorders. It focuses on the recent advancements in genomics, epigenomics, proteomics, metabolomics, and nutrigenomics, emphasizing their role in revolutionizing personalized medicine.