The genetics of obesity: from discovery to biology

Stochastic neuropeptide signals compete to calibrate the rate of satiation

Neuropeptides have important roles in neural plasticity, spiking and behaviour1. Yet, many fundamental questions remain regarding their spatiotemporal transmission, integration and functions in the awake brain. Here we examined how MC4R-expressing neurons in the paraventricular nucleus of the hypothalamus (PVHMC4R) integrate neuropeptide signals to modulate feeding-related fast synaptic transmission and titrate the transition to satiety2-6. We show that hunger-promoting AgRP axons release the neuropeptide NPY to decrease the second messenger cAMP in PVHMC4R neurons, while satiety-promoting POMC axons release the neuropeptide αMSH to increase cAMP. Each release event is all-or-none, stochastic and can impact multiple neurons within an approximately 100-µm-diameter region. After release, NPY and αMSH peptides compete to control cAMP-the amplitude and persistence of NPY signalling is blunted by high αMSH in the fed state, while αMSH signalling is blunted by high NPY in the fasted state. Feeding resolves this competition by simultaneously elevating αMSH release and suppressing NPY release7,8, thereby sustaining elevated cAMP in PVHMC4R neurons throughout a meal. In turn, elevated cAMP facilitates potentiation of feeding-related excitatory inputs with each bite to gradually promote satiation across many minutes. Our findings highlight biochemical modes of peptide signal integration and information accumulation to guide behavioural state transitions.

Early life factors that affect obesity and the need for complex solutions

The prevalence of obesity increases with age but is apparent even in early life. Early childhood is a critical period for development that is known to influence future health. Even so, the focus on obesity in this phase, and the factors that affect the development of obesity, has only emerged over the past two decades. Furthermore, there is a paucity of iterative work in this area that would move the field forward. Obesity is a complex condition involving the interplay of multiple influences at different levels: the individual and biological level, the sociocultural level, and the environmental and system levels. This Review provides a brief overview of the evidence for these factors with a focus on aspects specific to early life. By spotlighting the complex web of interactions between the broad range of influences, both causal and risk markers, we highlight the complex nature of the condition. Much work in the early life field remains observational and many of the intervention studies are limited by a focus on single influences and a disjointed approach to solutions. Yet the complexity of obesity necessitates coordinated multi-focused solutions and joined-up action across the first 2,000 days from conception, and beyond.

Rare Variant Association Studies: Significance, Methods, and Applications in Chronic Pain Studies

Rare genetic variants, characterized by their low frequency in a population, have emerged as essential components in the study of complex disease genetics. The biology of rare variants underscores their significance, as they can exert profound effects on phenotypic variation and disease susceptibility. Recent advancements in sequencing technologies have yielded the availability of large-scale sequencing data such as the UK Biobank whole-exome sequencing (WES) cohort empowered researchers to conduct rare variant association studies (RVASs). This review paper discusses the significance of rare variants, available methodologies, and applications. We provide an overview of rare variant association studies, emphasizing their relevance in unraveling the genetic architecture of complex diseases with special focus on chronic pain and Arthritis. Additionally, we discuss the strengths and limitations of various rare variant association testing methods, outlining a typical pipeline for conducting rare variant association. This pipeline encompasses crucial steps such as quality control of WES data, rare variant annotation, and association testing. It serves as a comprehensive guide for researchers in the field of chronic pain diseases interested in rare variant association studies in large-scale sequencing datasets like the UK Biobank WES cohort. Lastly, we discuss how the identified variants can be further investigated through detailed experimental studies in animal models to elucidate their functional impact and underlying mechanisms.

Reallocating Time Between 24-h Movement Behaviors for Obesity Management Across the Lifespan: A Pooled Data Meta-Analysis of More Than 9800 Participants from Seven Countries

BACKGROUND

The distribution of time across physical activity, sedentary behaviors, and sleep appears to be essential for the management of obesity. However, the impact of reallocating time among these behaviors, collectively known as 24-h movement behaviors, remains underexplored.

OBJECTIVE

This study examines the theoretical effects of reallocating time between 24-h movement behaviors on obesity indicators across different age groups.

METHODS

We performed a pooled data meta-analysis of 9818 participants from 11 observational and experimental studies. To estimate the time spent in movement behaviors, we reprocessed and harmonized individual-level raw accelerometer-derived data. Isotemporal substitution models estimated theoretical changes in body mass index (BMI) and waist circumference (WC) associated with time reallocation between movement behaviors. We performed the analysis separately for children, adolescents, adults, and older adults.

RESULTS

Even minor reallocations of 10 min led to significant changes in obesity indicators, with pronounced effects observed when 30 min were reallocated. The most substantial adverse effects on BMI and WC occurred when moderate-to-vigorous physical activity (MVPA) was reallocated to other movement behaviors. For 30-min reallocations, the largest increase in BMI (or BMI z-score for children) occurred when MVPA was reallocated to light-intensity physical activity (LPA) in children (0.26 units, 95% confidence interval [CI] 0.15, 0.37) and to sedentary behavior (SB) in adults (0.72 kg/m2, 95% CI 0.47, 0.96) and older adults (0.73 kg/m2, 95% CI 0.59, 0.87). The largest increase in WC was observed when MVPA was substituted with LPA in adults (2.66 cm, 95% CI 1.42, 3.90) and with SB in older adults (2.43 cm, 95% CI 2.07, 2.79). Conversely, the highest magnitude of the decrease in obesity indicators was observed when SB was substituted with MVPA. Specifically, substituting 30 min of SB with MVPA was associated with a decrease in BMI z-score by - 0.15 units (95% CI - 0.21, - 0.10) in children and lower BMI by - 0.56 kg/m2 (95% CI - 0.74, - 0.39) in adults and by - 0.52 kg/m2 (95% CI - 0.61, - 0.43) in older adults. Reallocating time away from sleep and LPA showed several significant changes but lacked a consistent pattern. While the predicted changes in obesity indicators were generally consistent across age groups, inconsistent findings were observed in adolescents, particularly for reallocations between MVPA and other behaviors.

CONCLUSIONS

This investigation emphasizes the crucial role of MVPA in mitigating obesity risk across the lifespan, and the benefit of substituting SB with low-intensity movement behaviors. The distinct patterns observed in adolescents suggest a need for age-specific lifestyle interventions to effectively address obesity. Emphasizing manageable shifts, such as 10-min reallocations, could have significant public health implications, promoting sustainable lifestyle changes that accommodate individuals with diverse needs, including those with severe obesity.

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.

ABHD6 loss-of-function in mesoaccumbens postsynaptic but not presynaptic neurons prevents diet-induced obesity in male mice

α/β-hydrolase domain 6 (ABHD6) is a lipase linked to physiological functions affecting energy metabolism. Brain ABHD6 degrades 2-arachidonoylglycerol and thereby modifies cannabinoid receptor signalling. However, its functional role within mesoaccumbens circuitry critical for motivated behaviour and considerably modulated by endocannabinoids was unknown. Using three viral approaches, we show that control of the nucleus accumbens by neuronal ABHD6 is a key determinant of body weight and reward-directed behaviour in male mice. Contrary to expected outcomes associated with increasing endocannabinoid tone, loss of ABHD6 in nucleus accumbens, but not ventral tegmental area, neurons completely prevents diet-induced obesity, reduces food- and drug-seeking and enhances physical activity without affecting anxiodepressive behaviour. These effects are explained by attenuated inhibitory synaptic transmission onto medium spiny neurons. ABHD6 deletion in nucleus accumbens neurons and dopamine ventral tegmental area neurons produces contrasting effects on effortful responding for food. Intraventricular infusions of an ABHD6 inhibitor also restrain appetite and promote weight loss. Together, these results reveal functional specificity of pre- and post-synaptic mesoaccumbens neuronal ABHD6 to differentially control energy balance and propose ABHD6 inhibition as a potential anti-obesity tool.

Cell-penetrating anti-sense peptide nucleic acids targeting sulfatase 2 inhibit adipogenesis in human mesenchymal stem cells

Targeting the genes regulate the lineage commitment of human mesenchymal stem cells (hMSCs) to adipocytes provides a promising strategy for addressing obesity. In this study, we investigated the therapeutic potential of cell-penetrating anti-sense peptide nucleic acids (PNAs) designed to enhance solubility and hybridization properties, specifically targeting sulfatase 2 (SULF2), a potential reciprocal regulator of adipocyte and osteoblast differentiation in hMSCs. Cell-penetrating modified PNA oligomers effectively inhibit SULF2 gene transcription, leading to significant reductions in adiponectin protein synthesis and intracellular lipid droplet accumulation during adipogenesis in human bone marrow-derived MSCs (hBM-MSCs). Notably, PNA oligomer compound 5 exhibited the most potent anti-adipogenic activity, with an IC50 value of 0.28 μM. These findings show the potential of SULF2-targeting cell-penetrating PNA oligomers as novel therapeutic agents for obesity-related metabolic diseases.

Insights into the neurobiology of weight loss after bariatric surgery and GLP-1R agonists

Obesity and its related complications are growing in prevalence worldwide, with increasing impact to individuals and healthcare systems alike. Currently, the leading treatment approaches for effective and sustained weight loss are bariatric surgery and gut peptide therapeutics. At a high level, both treatment strategies work by hijacking gut-brain axis signaling to reduce food intake. However, we predict that each modality has distinct neuronal mechanisms that are responsible for their success and complications. This review compares the neurobiology of feeding behavior between these two weight loss strategies via a discussion of both clinical and pre-clinical data. The most compelling evidence points to signaling within the hindbrain, hypothalamus, and reward circuits contributing to weight loss. Considerations for treatment, including differing complications between the two treatment approaches, will also be discussed. Based on the data, we pose the hypothesis that these two interventions are acting via distinct mechanisms to induce weight loss. Both interventions have variable degrees of weight loss across the patient population, thus, understanding these distinct mechanisms could help drive individualized medicine to optimize weight loss.

Association of DNA methylation of RASSF1A and SHOX2 with lung cancer risk: A systematic review and meta-analysis

BACKGROUND

This study estimates the research upon the potential worth of Ras association domain family member 1 A (RASSF1A) and short stature homeobox 2 (SHOX2) DNA methylation in lung cancer (LC) diagnosis.

METHODS

Open-published research was searched through PubMed, EMBASE, the Cochrane Library, Web of Science, China National Knowledge Infrastructure, and Chinese Biology Medicine Literature Database. Data on true positives, false positives, false negatives, and true negatives were extracted.

RESULTS

This meta-analysis included 22 studies encompassing 4109 subjects (2427 LC patients and 1682 controls). The combined sensitivity, specificity, and area under the curve for RASSF1A and SHOX2 DNA methylation were 0.77 (95% CI: 0.71-0.81), 0.90 (95% CI: 0.87-0.92), and 0.92 (95% CI: 0.87-0.92), respectively. The pooled positive likelihood ratio and negative likelihood ratio were 7.5 (5.9-9.7) and 0.26 (0.21-0.32). The combined diagnostic odds ratio was 29 (95% CI: 20-41).

CONCLUSION

RASSF1A and SHOX2 DNA methylation may emerge as potential diagnostic biomarkers for early-stage LC.

Body mass as a result of psychological, lifestyle and genetic determinants. A pilot study involving overweight/obese and normal weight women in their early adulthood

AIM

The causes of obesity and overweight are complex and depend on mutually interrelated groups of lifestyle, psychological and genetic factors. Among 46 identified point mutations known within FTO gene, mutation SNP rs9939609 has the strongest effect on an increase in body weight. Therefore, the study aimed to assess psychological, lifestyle and genetic factors (expressed by the frequency of the FTO SNP rs-9939609 gene variant) and their association with body weight in young adult women.

METHODS

We genotyped FTO rs9939609 SNP in cheek swabs collected from 49 women aged 18-35, equally with and without overweight and obesity. Eating behaviour was defined based on the Questionnaire of Eating-Related Behaviors (QERB) and physical activity by the International Physical Activity Questionnaire (IPAQ). Classical anthropometric indices and the body composition analysis results measured by bioelectrical impedance were used to characterise nutritional status.

RESULTS

Overweight/obese participants had significantly higher body composition parameters than normal-weight participants, along with lower physical activity levels and more time spent sitting. Overweight/obese women presented significantly higher scores in emotional overeating, habitual overeating, and dietary restrictions, indicating more problematic eating behaviors compared to normal-weight individuals. No significant differences were observed in BMI, lifestyle factors, or eating behaviors across FTO gene variants (AA, AT, and TT). However, the TT and AT FTO gene variant groups showed significant positive correlations between habitual overeating and key measures of body weight (BMI, WC, and FM). In contrast, the AA variant group exhibited fewer associations between psychological and lifestyle factors with body weight.

CONCLUSIONS

Psychological and lifestyle factors, particularly overeating behaviors, were more strongly associated with increased body weight in women with the TT and AT variants of the FTO SNP rs-9939609 gene, highlighting the potential influence of genetic predisposition on eating habits and weight status in this population. Proper eating habits and high physical activity play an important role in preventing overweight and obesity regardless of the genotype that poses a potential risk of weight gain. The study's findings bring practical implications for health education and health psychology.

Investigating genetic variants in early-onset obesity through exome sequencing: A retrospective cohort study

OBJECTIVE

This study aimed to examine clinical data and analyze exome sequencing (ES) findings in children diagnosed with early-onset obesity.

METHODS

We screened children presenting with severe (body mass index-standard deviation score >3) and early-onset (<7 years) obesity using ES. Participants were categorized into either the "no variant identified" group or the "variant identified" group, facilitating the exploration of correlations between clinical-demographic characteristics and genetic mutations linked to early-onset obesity. The functional implications of identified variants were assessed through in silico analyses.

RESULTS

Of the patients, 32 (35.5 %) possessed one or more mutations in pathways associated with obesity, all of which were heterozygous and patients with more than two obesity-associated variants were more obese. This cohort included 29 novel mutations distinct to our study population, 7 previously reported pathogenic variants, two instances of uniparental disomy, and one mitochondrial hotspot mutation. Variants in the SH2B1 gene emerged as a prevalent genetic determinant of obesity within our group, accounting for 16.6 % of cases. Statistical evaluations showed no significant differences in demographic attributes between the two groups.

CONCLUSION

Exome sequencing proves to be an instrumental approach for uncovering new variants and broadening the spectrum of mutations in early-onset obesity among children. Concurrently, further functional studies, both in vitro and in vivo, are crucial to elucidate the contributions of these variants to obesity's pathogenesis.

Effects of the dyadic FirstStep2Health intervention on parents' behaviour and anthropometric outcomes: a secondary analysis of a cluster randomised trial

OBJECTIVES

This study aimed to examine the preliminary efficacy of the FirstStep2Health versus usual care control on improving parents' lifestyle behaviours (moderate to vigorous physical activity, screen time, fruit/vegetable and fibre intake, skin carotenoids), nutrition and physical activity knowledge, self-efficacy, support, parenting style, feeding practices, home environment, anthropometric outcomes (body mass index, % body fat) and blood pressure from baseline to postintervention after adjusting for random cluster effects.

DESIGN

A cluster randomised controlled trial with 10 Head Start daycare centres (five intervention, five control) was conducted using computer-generated randomisation after baseline data collection.

SETTING

US Head Start daycare centres.

PARTICIPANTS

95 parent-child dyads (53 intervention, 42 control).

INTERVENTIONS

The 16-week, dyadic, FirstStep2Health intervention included: (1) a daycare-based child programme on healthy mindful eating and physical activity, (2) child letters to parents to connect school learning with home practice, (3) social media-based parent programme to assist parents to promote healthy eating and physical activity at home, (4) virtual group parent meetings via Zoom on topics related to healthy eating and physical activity and (5) weekly motivational messages to increase parental motivation to build a healthy home environment.

RESULTS

Mixed-effect models were used to examine intervention effects, adjusting for baseline outcome and cluster effects at the daycare and classroom levels. Intervention parents engaged in more moderate to vigorous physical activity (B=0.49, p=0.874) postintervention than controls, although not significantly. However, intervention parents showed significantly higher nutrition knowledge (B=0.87, p=0.009), physical activity knowledge (B=0.95, p=0.049), nutrition self-efficacy (B=0.74, p=0.025) and physical activity self-efficacy (B=0.86, p=0.013) compared with controls at postintervention. Fibre intake was also significantly higher (B=2.99, p=0.049), and intervention parents had lower % body fat (B=-2.56, p=0.005) and systolic blood pressure (B=-10.98, p=0.005) postintervention. No significant effects were found for fruits/vegetables intake, parental support for healthy behaviours, home physical activity environment or authoritative parenting style.

CONCLUSIONS

Future endeavours to proactively engage parents in a dyadic childhood obesity prevention approach such as the FirstStep2Health intervention are warranted to improve outcomes among both children and parents.

TRIAL REGISTRATION NUMBER

NCT04164277.

Whole Exome Sequencing Revealed Paternal Inheritance of Obesity-related Genetic Variants in a Family with an Exclusively Breastfed Infant

Objective

Obesity is a serious health problem that progressively affects individuals’ lives with comorbidities, such as heart disease, stroke, and diabetes mellitus. Since its prevalence has increased, particularly in children less than five years old, its genetic and environmental causes should be determined for prevention and control of the disease. The aim of this study was to detect underlying genetic risk factors in a family with an exclusively breastfed obese infant.

Methods

A three-generation family was recruited to be evaluated for obesity. Detailed examinations along with body mass index (BMI) calculations were performed on available family members. Whole exome sequencing (WES) was performed on a 7-month-old obese infant. Bioinformatic analyses were performed on the Genomize SEQ platform with variant filtering at minor allele frequencies <1% for all normal populations. Sanger sequencing was applied in variant confirmation and family segregation.

Results

Neuro-motor developmental features were normal and genetic syndromes were excluded from the index. Early-onset severe obesity (+4.25 standard deviation score weight-for-height) was evident in index case; his father and grandmother were also obese (BMIs 38.1 kg/m2 and 31.3 kg/m2, respectively). WES analysis revealed deleterious variants in SH2B1, PDE11A, ADCY3, and CAPN10 genes previously associated with obesity. All variants were evaluated as novel candidates for obesity, except PDE11A, and family segregation confirmed paternal inheritance.

Conclusion

This study confirmed the paternal inheritance of all potentially deleterious obesity-related variants. The cumulative effect of individual variants might explain the obesity phenotype in this family. The infant is recommended to be followed up periodically due to increased risk for later childhood obesity.

Interactions between Polygenic Risk of Obesity and Dietary Factors on Anthropometric Outcomes: A Systematic Review and Meta-Analysis of Observational Studies

BACKGROUND

Diet is an important determinant of health and may moderate genetic susceptibility to obesity, but meta-analyses of available evidence are lacking.

OBJECTIVES

This study aimed to systematically review and meta-analyze evidence on the moderating effect of diet on genetic susceptibility to obesity, assessed with polygenic risk scores (PRS).

METHODS

A systematic search was conducted using MEDLINE, EMBASE, Web of Science, and the Cochrane Library to retrieve observational studies that examined PRS-diet interactions on obesity-related outcomes. Dietary exposures of interest included diet quality/dietary patterns and consumption of specific food and beverage groups. Random-effects meta-analyses were performed for pooled PRS- healthy eating index (HEI) interaction coefficients on body mass index (BMI) (on the basis of data from 4 cohort studies) and waist circumference (WC) (on the basis of data from 3 cohort studies).

RESULTS

Out of 36 retrieved studies, 78% were conducted among European samples. Twelve out of 21 articles examining dietary indices/patterns, and 16 out of 21 articles examining food/beverage groups observed some significant PRS-diet interactions. However, within many articles, findings are inconsistent when testing different combinations of obesity PRS-dietary factors and outcomes. Nevertheless, higher HEI scores and adherence to plant-based dietary patterns emerged as the more prominent diet quality/patterns that moderated genetic susceptibility to obesity, whereas higher consumption of fruits and vegetables, and lower consumption of fried foods and sugar-sweetened beverages emerged as individual food/beverage moderators. Results from the meta-analysis suggest that a higher HEI attenuates genetic susceptibility on BMI (pooled PRS∗HEI coefficient: -0.08; 95% confidence interval (CI): -0.15, 0.00; P = 0.0392) and WC (-0.37; 95% CI: -0.60, -0.15; P = 0.0013).

CONCLUSIONS

Current observational evidence suggests a moderating role of overall diet quality in polygenic risk of obesity. Future research should aim to identify genetic loci that interact with dietary exposures on anthropometric outcomes and conduct analyses among diverse ethnic groups.

TRIAL REGISTRATION NUMBER

This study was registered at the International Prospective Register of Systematic Reviews as CRD42022312289.

Are weight loss and metabolic outcomes of bariatric surgery influenced by candidate glucocorticoid receptor gene polymorphisms? A prospective study

BACKGROUND

Bariatric surgery is the most effective treatment for severe obesity. There can be variation in the degree of weight reduction following bariatric surgery. It is unknown whether single nucleotide polymorphisms (SNPs) in the glucocorticoid receptor locus (GRL) affect postoperative weight loss and metabolic outcomes.

MATERIALS/METHODS

We studied the association between selected candidate SNPs and postoperative weight loss and metabolic outcomes in patients with severe obesity undergoing bariatric surgery. The polymorphisms rs41423247 (Bcl1), rs56149945 (N363S) and rs6189/rs6190 (ER22/23EK) were analysed.

RESULTS

The 139 participants included 95 women (68.3%) and had a median (interquartile range) age of 53.0 (46.0-60.0) years and mean (SD) weight of 140.8 (28.8) kg and body mass index of 50.3 (8.6) kg/m2. At baseline, 59 patients had type 2 diabetes (T2D), 60 had hypertension and 35 had obstructive sleep apnoea syndrome treated with continuous positive airway pressure (CPAP). 84 patients (60.4%) underwent gastric bypass and 55 (39.6%) underwent sleeve gastrectomy. There were no significant differences in weight loss, glycated haemoglobin (HbA1c) or lipid profile categorized by genotype status, sex or median age. There was significant weight reduction after bariatric surgery with a postoperative BMI of 34.1 (6.8) kg/m2 at 24 months (p < 0.001).

CONCLUSION

While GRL polymorphisms with a known deleterious effect on adipose tissue mass and function may have a small, additive effect on the prevalence of obesity and related metabolic disorders in the population, we suggest that the relatively weak biological influence of these SNPs is readily overcome by bariatric surgery.

Variant reclassification over time decreases the level of diagnostic uncertainty in monogenic obesity: Experience from two centres

BACKGROUND

The diagnosis of monogenic obesity is burdened by frequent variants of uncertain significance (VUS). We describe our real-life approach of variant reassessment over time and we assess whether inconclusive variants are decreasing in monogenic obesity.

METHODS

We tested for monogenic obesity (genes: LEPR, POMC, ADCY3, PCSK1, CARTPT, SIM1, MRAP2, LEP, NTRK2, BDNF, KSR2, MAGEL2, SH2B1, MC4R, MC3R) in 101 children/adolescents (11.7 [7.3-13.7] years, 3.6 [3.3-4.0] z-BMI) in Verona and 183 (11.3 [8.4-12.2] years, 3.2 [2.7-3.9] z-BMI) in Naples from January 2020 to February 2023. In March-July 2024 we reassessed the baseline variants by updated software interpretation and literature renavigation.

RESULTS

We initially found 20 VUS, 4 Likely Pathogenic (LP), 5 Likely Benign (LB) and 1 benign variant in 33 individuals. At follow-up, 6 VUS were reclassified as benign/LB, one LP as pathogenic and 3 LB as benign. Overall, 10/30 variants (6/18 in Verona, 3/11 in Naples and a variant found in both centres) were reclassified, leading to a less uncertain report for 13 of 33 variant-carrying patients. Monogenic obesity was diagnosed in 3 probands in Verona and 4 in Naples, carrying variants at MC4R or NTRK2.

CONCLUSION

Our variant reassessment was effective to improve classification certainty for the 39% of patients and suggested that the molecular diagnosis of monogenic obesity is becoming more accurate over time.

Rheumatic diseases and metabolism: where centre and periphery meet

Over the past few decades, the connection between metabolism and various inflammatory and rheumatic diseases has been an area of active investigation. Nonetheless, the precise mechanisms underlying these relationships remain a topic of ongoing debate, owing in part to conflicting data. This discrepancy can be attributed to the predominant focus on peripheral mechanisms in research into the metabolic consequences of rheumatic diseases. However, a wealth of evidence supports the notion that the central nervous system, specifically the hypothalamus, has an important influence on metabolic homeostasis. Notably, links have been established between crucial hypothalamic mechanisms responsible for regulating energy balance (including food intake, thermogenesis, and glucose and lipid metabolism), such as AMP-activated protein kinase, and the pathophysiology of rheumatoid arthritis. This Review aims to comprehensively examine the current understanding of central metabolic control in rheumatic diseases and explore potential therapeutic options that target this pathophysiological mechanism.

Epigenetic alterations in patients with anorexia nervosa-a systematic review

Anorexia nervosa (AN) is a complex metabolic and psychological disorder that is influenced by both heritable genetic components and environmental factors. Exposure to various environmental influences can lead to epigenetically induced changes in gene expression. Epigenetic research in AN is still in its infancy, and studies to date are limited in determining clear, valid links to disease onset and progression are limited. Therefore, the aim of this systematic review was to compile and critically evaluate the available results of epigenetic studies specifically in AN and to provide recommendations for future studies. In accordance with the PRISMA guidelines, a systematic literature search was performed in three different databases (PubMed, Embase, and Web of Science) through May 2023. Twenty-three original papers or conference abstracts on epigenetic studies in AN were collected. Epigenome-wide association studies (EWASs), which analyze DNA methylation across the genome in patients with AN and identify potential disease-relevant changes in promoter/regulatory regions of genes, are the most promising for future research. To date, five EWASs on AN have been published, suggesting a potential reversibility of malnutrition-induced epigenetic changes once patients recover. Hence, determining differential DNA methylation levels could serve as a biomarker for disease status or early diagnosis and might be involved in disease progression or chronification. For future research, EWASs with a larger sample size, longitudinal study design and uniform methods should be performed to contribute to the understanding of the pathophysiology of AN, the development of individual interventions and a better prognosis for affected patients.

Genetic-by-age interaction analyses on complex traits in UK Biobank and their potential to identify effects on longitudinal trait change

BACKGROUND

Genome-wide association studies (GWAS) have identified thousands of loci for disease-related human traits in cross-sectional data. However, the impact of age on genetic effects is underacknowledged. Also, identifying genetic effects on longitudinal trait change has been hampered by small sample sizes for longitudinal data. Such effects on deteriorating trait levels over time or disease progression can be clinically relevant.

RESULTS

Under certain assumptions, we demonstrate analytically that genetic-by-age interaction observed in cross-sectional data can be indicative of genetic association on longitudinal trait change. We propose a 2-stage approach with genome-wide pre-screening for genetic-by-age interaction in cross-sectional data and testing identified variants for longitudinal change in independent longitudinal data. Within UK Biobank cross-sectional data, we analyze 8 complex traits (up to 370,000 individuals). We identify 44 genetic-by-age interactions (7 loci for obesity traits, 26 for pulse pressure, few to none for lipids). Our cross-trait view reveals trait-specificity regarding the proportion of loci with age-modulated effects, which is particularly high for pulse pressure. Testing the 44 variants in longitudinal data (up to 50,000 individuals), we observe significant effects on change for obesity traits (near APOE, TMEM18, TFAP2B) and pulse pressure (near FBN1, IGFBP3; known for implication in arterial stiffness processes).

CONCLUSIONS

We provide analytical and empirical evidence that cross-sectional genetic-by-age interaction can help pinpoint longitudinal-change effects, when cross-sectional data surpasses longitudinal sample size. Our findings shed light on the distinction between traits that are impacted by age-dependent genetic effects and those that are not.

Reverse-engineering the Venus figurines: An eco-life-course hypothesis for the aetiology of obesity in the Palaeolithic

Evolutionary perspectives on obesity have been dominated by genetic frameworks, but plastic responses are also central to its aetiology. While often considered a relatively modern phenomenon, obesity was recorded during the Palaeolithic through small statuettes of the female form (Venus figurines). Even if the phenotype was rare, these statuettes indicate that some women achieved large body sizes during the last glacial maximum, a period of nutritional stress. To explore this paradox, we develop an eco-life-course conceptual framework that integrates the effects of dietary transitions with intergenerational biological mechanisms. We assume that Palaeolithic populations exposed to glaciations had high lean mass and high dietary protein requirements. We draw on the protein leverage hypothesis, which posits that low-protein diets drive overconsumption of energy to satisfy protein needs. We review evidence for an increasing contribution of plant foods to diets as the last glacial maximum occurred, assumed to reduce dietary protein content. We consider physiological mechanisms through which maternal overweight impacts the obesity susceptibility of the offspring during pregnancy. Integrating this evidence, we suggest that the last glacial maximum decreased dietary protein content and drove protein leverage, increasing body weight in a process that amplified across generations. Through the interaction of these mechanisms with environmental change, obesity could have developed among women with susceptible genotypes, reflecting broader trade-offs between linear growth and adiposity and shifts in the population distribution of weight. Our approach may stimulate bioarchaeologists and paleoanthropologists to examine paleo-obesity in greater detail and to draw upon the tenets of human biology to interpret evidence.

gnas Knockdown Induces Obesity and AHO Features in Early Zebrafish Larvae

GNAS (Guanine Nucleotide-Binding Protein, Alpha Stimulating) is a complex gene that encodes the alpha subunit of the stimulatory G protein (Gsα), critical for signaling through various G protein-coupled receptors. Inactivating genetic and epigenetic changes in GNAS, resulting in Gsα deficiency, cause different variants of pseudohypoparathyroidism, which may manifest features of Albright hereditary osteodystrophy (AHO, a syndrome characterized by early-onset obesity and other developmental defects). Recent findings have linked Gsα deficiency with isolated, severe, early-onset obesity, suggesting it as a potential, underrecognized cause of monogenic, non-syndromic obesity. This study was prompted by identifying several GNAS variants of uncertain significance (VUSs) in pediatric patients presenting with unexplained, severe, early-onset obesity at Sidra Medicine in Qatar. To functionally characterize these variants, we developed the first zebrafish model of Gsα deficiency, offering numerous advantages over other model systems. This was achieved by knockdown of the ortholog through microinjection of translation-blocking Morpholino antisense oligonucleotides into the yolks of 1-8-cell-stage zebrafish embryos. The morphant larvae displayed an obese phenotype, marked by significantly enlarged yolk sacs, increased neutral lipid accumulation, and reduced metabolic rates, among other developmental abnormalities resembling those in AHO. This zebrafish model lays the foundation for efficient functional characterization of GNAS VUSs and paves the way for enhancing our understanding of Gsα deficiency-associated early-onset obesity.

UBTF haploinsufficiency associated with UBTF-related global developmental delay and distinctive facial features without neuroregression

BACKGROUND

The Upstream Binding Transcription Factor (UBTF) gene encodes two nucleolar proteins, UBTF1 and UBTF2. UBTF1 regulates rRNA transcription by RNA polymerase I, while UBTF2 regulates mRNA transcription by RNA polymerase II. A recurrent de novo dominant mutation c.628G>A (p.Glu210Lys) has been identified as a gain-of-function mutation associated with childhood onset neurodegeneration with brain atrophy (CONDBA). Evidence from large-scale population databases and Ubtf+/- mouse models indicates that UBTF haploinsufficiency is not tolerated.

METHODS

Three unrelated patients with global developmental delay and distinctive facial features were recruited for the study. Whole exome sequencing (WES) was performed to identify potential genetic abnormalities. Additionally, copy number variation analysis was conducted based on the WES data.

RESULTS

All three patients exhibited intellectual disabilities, social challenges and developmental delays in language and gross motor skills. Distinctive facial features included a wide forehead, sparse eyebrows, hypertelorism, narrow palpebral fissures, single-fold eyelids, a flat nasal bridge, anteverted nares, a long philtrum and a thin upper lip. Additionally, patient C presented with more severe language delay, recurrent hepatic dysfunction and an atrial septal defect. Patient A was found to have a nonsense variant, c.1327C>T (p.R443Ter), in the exon 13 of UBTF. Patients B and C both carried a heterozygous deletion encompassing the UBTF gene.

CONCLUSION

In this study, we analysed the detailed phenotypes associated with UBTF haploinsufficiency, which, to our knowledge, have not been previously reported. We propose that UBTF haploinsufficiency-related global developmental delay and distinctive facial features, without neuroregression, constitute a new syndrome distinct from CONDBA.

The complement system in lipid-mediated pathologies

The complement system, a coordinator and facilitator of the innate immune response, plays an essential role in maintaining host homeostasis. It promotes clearance of pathogen- and danger-associated molecular patterns, regulates adaptive immunity, and can modify various metabolic processes such as energy expenditure, lipid metabolism, and glucose homeostasis. In this review, we will focus on the intricate interplay between complement components and lipid metabolism. More precisely, we will display how alterations in the activation and regulation of the complement system affect pathological outcome in lipid-associated diseases, such as atherosclerosis, obesity, metabolic syndrome, age-related macular degeneration, and metabolic dysfunction-associated steatotic liver disease. In addition to that, we will present and evaluate underlying complement-mediated physiological mechanisms, observed both in vitro and in vivo. Our manuscript will demonstrate the clinical significance of the complement system as a bridging figure between innate immunity and lipid homeostasis.

The relationships between sleep and adiposity amongst multi-ethnic Asian populations: a cross-sectional analysis of the Health for Life in Singapore (HELIOS) study

BACKGROUND

Short sleep duration and poor sleep quality have been associated with obesity. Asian populations report shorter sleep duration compared to other groups. We therefore aimed to explore the relationships between sleep duration, sleep quality, dozing, daytime napping, snoring, insomnia and adiposity in a multi-ethnic Asian population, and investigate the potential contribution of disturbed sleep to the risk of obesity amongst Asian populations.

METHODS

We studied 8876 participants of the HELIOS study, a multi-ethnic population-based cohort comprising Chinese, Malay, and Indian Asian men and women living in Singapore. Sleep traits and psychological symptoms were assessed using validated tools which included the Pittsburg Sleep Quality Index, Generalised Anxiety Disorder-7, and Patient Health Questionnaire-9. We employed multivariable regression models to examine the associations between sleep and adiposity, while also conducting sub-group and sensitivity analyses to strengthen the reliability of our results.

RESULTS

The 8876 participants were 69.3% Chinese, 12.5% Malays, and 18.2% Indians, with mean age: 51.7 ± 11.8 years (standard deviation). Malays had the shortest sleep duration, while Chinese had the best sleep quality. Short sleep duration, poor sleep quality, and snoring were associated with higher BMI and waist circumference, independent of age, sex, ethnicity, and various confounding factors (education, household income, current smoking, regular alcohol drinking status, presence of diabetes and hypertension, and markers for anxiety and depression; P < 0.005). The estimated population attributable fraction for short sleep and snoring as contributors to obesity were 6.6% (95% CI: 2.5-10.6%) and 18.6% (95% CI: 17.0-20.2%), respectively.

CONCLUSION

Sleep duration, sleep quality, and snoring are associated with adiposity in a multi-ethnic Asian population of Chinese, Malays, and Indians. Our findings suggest that a substantial portion of obesity in Asian populations could be averted through public health interventions aimed at improving sleep duration and quality.

The extracellular vesicle transcriptome provides tissue-specific functional genomic annotation relevant to disease susceptibility in obesity

We characterized circulating extracellular vesicles (EVs) in obese and lean humans, identifying transcriptional cargo differentially expressed in obesity. Since circulating EVs may have broad origin, we compared this obesity EV transcriptome to expression from human visceral adipose tissue derived EVs from freshly collected and cultured biopsies from the same obese individuals. Using a comprehensive set of adipose-specific epigenomic and chromatin conformation assays, we found that the differentially expressed transcripts from the EVs were those regulated in adipose by BMI-associated SNPs from a large-scale GWAS. Using a phenome-wide association study of the regulatory SNPs for the EV-derived transcripts, we identified a substantial enrichment for inflammatory phenotypes, including type 2 diabetes. Collectively, these findings represent the convergence of the GWAS (genetics), epigenomics (transcript regulation), and EV (liquid biopsy) fields, enabling powerful future genomic studies of complex diseases.

Association between diet protein score comprising plants to animal protein ratio and body composition in an Iranian population

Obesity is increasingly recognized as a leading cause of death and is associated with various comorbidities. This study evaluates the relationship between protein score, characterized by the plant-to-animal protein ratio (PAR) and total protein per calorie (Pro%), and body composition: fat percentage (FATP), fat mass (FATM), and fat-free mass (FFM). We categorized 4512 individuals (55.2% female) into tertiles based on their protein score and its components. Male participants in the highest and middle protein score tertiles exhibited significantly greater FFM in both adjusted and crude models, and lower FATP and FATM in adjusted model 2. FFM was elevated in the top (P < 0.001) and middle (P = 0.002) Pro% tertiles in males in both adjusted models and only in the top tertile of all models in females (P = 0.003). The analysis of male participants revealed significantly lower FATP and FATM in the highest tertiles of Pro% in adjusted models. Among female participants, only the highest PAR tertile was associated with significantly lower FATM in adjusted model 1 (P = 0.042). Our findings indicate that protein score and its components are associated with favorable body composition differences. Health administrators may leverage these insights to refine dietary guidelines.

Integrating Genetic Insights, Technological Advancements, Screening, and Personalized Pharmacological Interventions in Childhood Obesity

Childhood obesity is a significant global health challenge with rising prevalence over the past 50 years, affecting both immediate and long-term health outcomes. The increase in prevalence from 0.7% to 5.6% in girls and 0.9% to 7.8% in boys highlights the urgency of addressing this epidemic. By 2025, it is estimated that 206 million children and adolescents aged 5-19 years will be living with obesity. This review explores the complex interplay of genomics and genetics in pediatric obesity, transitioning from monogenic and polygenic obesity to epigenetics, and incorporating advancements in omics technologies. The evolutionary purpose of adiposity, systemic evaluation of hyperphagia, and the role of various genetic factors are discussed. Technological advancements in genotyping offer new insights and interventions. The integration of genetic screening into clinical practice for early identification and personalized treatment strategies is emphasized.

The evolution of the understanding of obesity over the last 100 years

The definition of obesity has evolved significantly over the last century, from a simplistic view of excessive eating and laziness to a complex, multifactorial disease with profound health and societal implications. As science progresses, it is essential that we keep improving our knowledge about obesity, taking into consideration, factors like genetics, metabolism, body composition, and the social determinants of health. This article explores how our understanding of this condition has been shaped over the last 100 years considering historical and scientific factors. The history and usefulness of the body mass index (BMI), the development of other anthropometric markers and the evolution in the incorporation of body composition into clinical practice, among other aspects related to the definition of obesity, are discussed. The challenges posed by obesity can be better addressed and more effective strategies for prevention and treatment can be developed adopting a more personalized and holistic approach. Obesity is not only a matter of individual responsibility but a multifaceted public health problem that requires a multidisciplinary and inclusive strategy to address its complexities.

Integrative analysis of transcriptome and proteome wide association studies prioritized functional genes for obesity

BACKGROUND

Genome-wide association studies have identified dozens of genomic loci for obesity. However, functional genes and their detailed genetic mechanisms underlying these loci are mainly unknown. In this study, we conducted an integrative study to prioritize plausibly functional genes by combining information from genome-, transcriptome- and proteome-wide association analyses.

METHODS

We first conducted proteome-wide association analyses and transcriptome-wide association analyses for the six obesity-related traits. We then performed colocalization analysis on the identified loci shared between the proteome- and transcriptome-association analyses. Finally, we validated the identified genes with other plasma/blood reference panels. The highlighted genes were assessed for expression of other tissues, single-cell and tissue specificity, and druggability.

RESULTS

We prioritized 4 high-confidence genes (FASN, ICAM1, PDCD6IP, and YWHAB) by proteome-wide association studies, transcriptome-wide association studies, and colocalization analyses, which consistently influenced the variation of obesity traits at both mRNA and protein levels. These 4 genes were successfully validated using other plasma/blood reference panels. These 4 genes shared regulatory structures in obesity-related tissues. Single-cell and tissue-specific analyses showed that FASN and ICAM1 were explicitly expressed in metabolism- and immunity-related tissues and cells. Furthermore, FASN and ICAM1 had been developed as drug targets.

CONCLUSION

Our study provided novel promising protein targets for further mechanistic and therapeutic studies of obesity.

Influence of the Interaction between Genetic Factors and Breastfeeding on Children's Weight Status: A Systematic Review

Breastfeeding may interact with other risk factors and have a combined influence on child growth. This systematic review aimed to examine the interaction between genetic factors and breastfeeding and how their combination is associated with children weight status. Four databases were searched until August 2024, and 8 eligible studies were identified. The fat mass and obesity associated (FTO) and peroxisome proliferator-activated receptor γ2 (PPARG2) genes were the most examined genes. Although the results of interactions between breastfeeding and genetics factors on children's weight status were inconsistent, some of studies reported that breastfeeding or exclusive breastfeeding attenuated the disadvantageous association between the risk alleles of the genes (higher obesity-specific genetic risk score for a multiple-gene study) and overdevelopment of children's body weight. These findings support the WHO recommendations for prolonged breastfeeding and further suggest breastfeeding interventions to prevent childhood obesity may be more effective in populations with a disadvantageous genetic predisposition. This review was registered in PROSPERO as CRD42023448365.

Novel genomic variants related to visceral adiposity index (VAI) and body adiposity index (BAI) in Indian sib-pairs

BACKGROUND

Obesity is among the leading public health threats globally. Over the last few years, visceral adiposity index (VAI), and body adiposity index (BAI), derived from anthropometric, and biochemical measures, have gained importance as a measure of obesity. However, unlike other common indices like body mass index, and waist circumference, the genetic predisposition of VAI, and BAI under-examined.

METHODS

2265 sib-pairs from Indian Migration Study were used for examining the association of genetic variants from the Cardio-Metabochip array with VAI, and BAI. Mixed linear regression models were run, and all inferences were based on the within-sib component of the Fulker's association models. Gene-environment/lifestyle interaction analyses were also undertaken.

RESULTS

rs6659428 at LOC400796 | SEC16B (β = 0.26, SE = 0.05), and rs7611535 at DRD3 | LOC645180 (β = 0.18, SE = 0.04) were associated with VAI at suggestive significance value of <8.21 × 10-6. For BAI, rs73300702 at JAZF1-AS1 (β = 0.27, SE = 0.06), was the top hit at p value < 8.21 × 10-6. Further, rs6659428 showed marginal effect modification with rural/urban location (β = 0.26, SE = 0.13, p value = 0.047), and rs73300702 with physical activity (β = -0.29,SE = 0.14, p value = 0.034).

CONCLUSION

We report three novel genetic loci for VAI, and BAI in Indians that are important indicators of adiposity. These findings need to be replicated and validated with larger samples from different ethnicities. Further, functional studies for understanding the biological mechanisms of these adiposity indices need to be undertaken to understand the underlying pathophysiology.

Exploring the role of genetic variability and exposure to bisphenols and parabens on excess body weight in Spanish children

Gene-environment interaction studies are emerging as a promising tool to shed light on the reasons for the rapid increase in excess body weight (overweight and obesity). We aimed to investigate the influence of several polymorphisms on excess weight in Spanish children according to a short- and long-term exposure to bisphenols and parabens, combining individual approach with the joint effect of them. This case-control study included 144 controls and 98 cases children aged 3-12 years. Thirty SNPs in genes involved in obesity-related pathways, xenobiotic metabolism and hormone systems were genotyped using the GSA microchip technology and qPCRs with Taqman® probes. Levels of bisphenols and parabens in urine and hair were used to assess short- and long-term exposure, respectively, via UHPLC-MS/MS system. LEPR rs9436303 was identified as a relevant risk variant for excess weight (ORDom:AAvsAG+GG=2.65, p<0.001), and this effect persisted across exposure-stratified models. For long-term exposure, GPX1 rs1050450 was associated with increased excess weight at low single paraben exposure (ORGvsA=2.00, p=0.028, p-interaction=0.016), whereas LEPR rs1137101 exhibited a protective function at high co-exposure (ORDom:AAvsAG+GG=0.17, p=0.007, p-interaction=0.043). ESR2 rs3020450 (ORDom:GGvsAG+AA=5.17, p=0.020, p-interaction=0.028) and CYP2C19 rs4244285 (ORDom:GGvsAG+AA=3.54, p=0.039, p-interaction=0.285) were identified as predisposing variants at low and high co-exposure, respectively. In short-term exposure, higher odds were observed for INSIG2 rs7566605 at high bisphenol exposure (ORCvsG=2.97, p=0.035, p-interaction=0.017) and for GSTP1 rs1695 at low levels (ORDom:AAvsAG+GG=5.38, p=0.016, p-interaction=0.016). At low and medium co-exposure, SH2B1 rs7498665 (ORAvsG=0.17, p=0.015, p-interaction=0.085) and MC4R rs17782313 (ORAvsG=0.10, p=0.023, p-interaction=0.045) displayed a protective effect, whereas ESR2 rs3020450 maintained its contributing role (ORGvsA=3.12, p=0.030, p-interaction=0.010). Our findings demonstrate for the first time that understanding the genetic variation in excess weight and how the level of exposure to bisphenols and parabens might interact with it, is crucial for a more in-depth comprehension of the complex polygenic and multifactorial aetiology of overweight and obesity.

Is Family History for the Management of Cardiovascular Health in Youth Still Relevant in Clinical Practice?

PURPOSE OF REVIEW

Family history of premature cardiovascular disease is a strong predictor of individual cardiovascular risk. However, family history is not always available and not always reliable. Roughly 80% of health outcomes are influenced not by genetic risk but by societal factors, including adverse health behaviors and environment. Furthermore, in the present age of genetic testing, laboratory evaluations, and imaging, a key question remains: What is the contemporary relevance of family history screening in the management of cardiovascular disease in youth?

RECENT FINDINGS

Knowledge of an individual's family history can help clinicians identify not only inherited risk but also familial clustering of unhealthy behaviors and environmental adversity contributing to enhanced cardiovascular disease risk in youth. For those at greatest risk, prevention strategies can be applied sooner and more conservatively. Integrating family history into clinical practice is crucial for cardiovascular risk assessment and for optimizing outcomes, but, in some cases, is more reflective of social factors.

NK2R control of energy expenditure and feeding to treat metabolic diseases

The combination of decreasing food intake and increasing energy expenditure represents a powerful strategy for counteracting cardiometabolic diseases such as obesity and type 2 diabetes1. Yet current pharmacological approaches require conjugation of multiple receptor agonists to achieve both effects2-4, and so far, no safe energy-expending option has reached the clinic. Here we show that activation of neurokinin 2 receptor (NK2R) is sufficient to suppress appetite centrally and increase energy expenditure peripherally. We focused on NK2R after revealing its genetic links to obesity and glucose control. However, therapeutically exploiting NK2R signalling has previously been unattainable because its endogenous ligand, neurokinin A, is short-lived and lacks receptor specificity5,6. Therefore, we developed selective, long-acting NK2R agonists with potential for once-weekly administration in humans. In mice, these agonists elicit weight loss by inducing energy expenditure and non-aversive appetite suppression that circumvents canonical leptin signalling. Additionally, a hyperinsulinaemic-euglycaemic clamp reveals that NK2R agonism acutely enhances insulin sensitization. In diabetic, obese macaques, NK2R activation significantly decreases body weight, blood glucose, triglycerides and cholesterol, and ameliorates insulin resistance. These findings identify a single receptor target that leverages both energy-expending and appetite-suppressing programmes to improve energy homeostasis and reverse cardiometabolic dysfunction across species.

Impact of Exercise Training at Maximal Fat Oxidation Intensity on Metabolic and Epigenetic Parameters in Patients with Overweight and Obesity: Study Protocol of a Randomized Controlled Trial

Background: Exercise is an essential pillar for human health, as it contributes to physical, mental, and emotional well-being. Well-recognized international organizations, such as the World Health Organization, advocate for integrating exercise into healthy lifestyles, recognizing its importance in disease prevention and improving quality of life. However, despite the consensus on its value, there is no universal agreement on specific prescriptions for vulnerable groups, highlighting the need for personalized approaches that consider the unique characteristics and needs of everyone. Emerging studies have demonstrated that exercise training performed at the intensity that elicits maximal fat oxidation improves insulin sensitivity, cardiorespiratory fitness, and body composition in patients with obesity, making it a highly effective strategy for long-term weight management and metabolic health in this specific population. Methods: The present study protocol settles the basis for a 16-week randomized clinical trial based on exercise prescription at the maximal fat oxidation rate combined with resistance training in young individuals with overweight and obesity. Expected Results: This study will elucidate how FatMax, with or without resistance exercises, can enhance metabolic flexibility, increase fat oxidation, and improve body composition, evaluating changes in biochemical parameters (cholesterol, glucose, triglycerides, and inflammatory markers), metabolic biomarkers (determination of fat and carbohydrate utilization rates during rest and exercise), and epigenetic indicators (focusing on microRNAs associated with adipogenesis, inflammation, and fat metabolism). ClinicalTrials.gov identification number: NCT06553482 (FatMax Training on Metabolic and Epigenetic Parameters).

Characterization and potential health benefits of millet flour and banana peel mixtures on rats fed with a high-fat diet

Millet (M) and banana peel (Bp) possess significant nutritional qualities and have been shown to reduce obesity resulting from a high-fat diet (HFD). The present research assessed the effect of millet flour and banana peel mixtures on lipid profiles, liver and kidney functions, and characterized food products derived from these mixtures. Thirty-five male albino rats were allocated into five groups for a biochemical analysis. The control group (n = 7) received a basal diet, while the remaining 28 rats were fed a high-fat diet (HFD) for 8 weeks to induce obesity. These rats were then separated into four sub-groups (n = 7 each): sub-group 1 as the positive control (+ve) receiving only HFD, while sub-groups 2, 3, and 4 were administered HFD supplemented with millet flour and banana peel mixtures (M90+Bp10 %, M80+Bp20 %, and M70+Bp30 %), respectively for an additional 8 weeks. The chemical composition analysis showed that banana peel (Bp) has higher levels of fat, ash, fiber, magnesium, and potassium, while millet flour is richer in carbohydrates. Bp also had superior antioxidant activity and total phenol content (13.32 % and 10.54 mg/100g) compared to millet flour (3.75 % and 4.55 mg/100g). Biochemical tests on the HFD plus (M70+Bp30 %) group revealed improved lipid profiles, leptin, antioxidant enzymes, and kidney and liver functions. Glucose levels were higher in the HFD group (137.33 mg/dl) than in the control (85.70 mg/dl), but these levels were reduced with millet and banana peel treatment. The histology of liver tissues confirmed the biochemical results. Sensory evaluation of pancakes and toast from the (M70+Bp30 %) mixture by forty panelists showed high acceptability, aligning with the biochemical outcomes. This study suggests that a banana peel and millet flour mixture could help reduce obesity.

Associations of Phthalate Exposure With Adiposity and Metabolic Syndrome in US Adolescents and Adults, NHANES 2013 to 2018

Context

Phthalates are ubiquitous endocrine-disrupting chemicals and suspected obesogens. However, the associations with fat distribution and associated cardiometabolic complications remain unclear.

Objective

We examined the associations between phthalate exposure, body fat (total and distribution patterns), and metabolic syndrome (MetS) among US adolescents and adults.

Methods

We analyzed cross-sectional data from 829 adolescents and 3905 adults in the 2013 to 2018 National Health and Nutrition Examination Survey. Total percentage body fat (%BF), visceral adipose tissue (VAT) mass, and android to gynoid (A/G) ratio were determined using dual-energy x-ray absorptiometry. Associations between molar sums of low molecular weight (∑LMW), high molecular weight (∑HMW), and di(2-ethylhexyl) phthalate (∑DEHP) metabolites, and adiposity indicators and MetS were analyzed with multivariable linear and logistic regressions. Models included sex interaction terms, were stratified by age group, and adjusted for relevant covariates.

Results

∑HMW and ∑DEHP exposures were positively associated with %BF in males, and all phthalate groups were associated with greater VAT mass and A/G ratio in adolescent males. Five-fold increases in ∑HMW and ∑DEHP metabolites were associated with 21.7% (95% CI, 10.5-33.9) and 18.0% (95% CI, 7.72-29.2) greater VAT mass among adolescent males, respectively. Sex modified the relationship between ∑HMW exposure and A/G ratio among adolescents (interaction P value = .0185). Phthalates were not associated with odds of MetS. When assessing individual MetS components, phthalates were associated with hyperglycemia in adult males.

Conclusion

Greater exposure to phthalates was associated with greater %BF in all males, and with fat distribution in adolescent males; however, phthalates were not linked to MetS.

Advancements in genetic research by the Hispanic Community Health Study/Study of Latinos: A 10-year retrospective review

The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) is a multicenter, longitudinal cohort study designed to evaluate environmental, lifestyle, and genetic risk factors as they relate to cardiometabolic and other chronic diseases among Hispanic/Latino populations in the United States. Since the study's inception in 2008, as a result of the study's robust genetic measures, HCHS/SOL has facilitated major contributions to the field of genetic research. This 10-year retrospective review highlights the major findings for genotype-phenotype relationships and advancements in statistical methods owing to the HCHS/SOL. Furthermore, we discuss the ethical and societal challenges of genetic research, especially among Hispanic/Latino adults in the United States. Continued genetic research, ancillary study expansion, and consortia collaboration through HCHS/SOL will further drive knowledge and advancements in human genetics research.

Systemic analysis of lipid metabolism from individuals to multi-organism systems

Lipid metabolism is recognised as being central to growth, disease and health. Lipids, therefore, have an important place in current research on globally significant topics such as food security and biodiversity loss. However, answering questions in these important fields of research requires not only identification and measurement of lipids in a wider variety of sample types than ever before, but also hypothesis-driven analysis of the resulting 'big data'. We present a novel pipeline that can collect data from a wide range of biological sample types, taking 1 000 000 lipid measurements per 384 well plate, and analyse the data systemically. We provide evidence of the power of the tool through proof-of-principle studies using edible fish (mackerel, bream, seabass) and colonies of Bombus terrestris. Bee colonies were found to be more like mini-ecosystems and there was evidence for considerable changes in lipid metabolism in bees through key developmental stages. This is the first report of either high throughput LCMS lipidomics or systemic analysis in individuals, colonies and ecosystems. This novel approach provides new opportunities to analyse metabolic systems at different scales at a level of detail not previously feasible, to answer research questions about societally important topics.

Genetic Variations in AMPK, FOXO3A, and POMC Increase the Risk of Extreme Obesity

Objective: Genetic variability significantly impacts metabolism, weight gain, and feeding behaviors, predisposing individuals to obesity. This study explored how variations in key genes related to obesity-FOXO3A (forkhead box O3), AMPK (protein kinase AMP-activated), and POMC (proopiomelanocortin)-are associated with extreme obesity (EOB). Methods: We conducted a case-control study with 251 EOB patients and 212 healthy controls with a body mass index (BMI) of less than 25 kg/m2. We genotyped 10 single nucleotide variants (SNVs) using TaqMan-based assays. Results: Four SNVs-rs1536057 in FOXO3A, rs103685 in AMPK, rs934778, and rs6545975 in POMC-were associated with an increased risk of EOB. The strongest association was observed with rs934778 (POMC), which had a maximum odds ratio (OR) of 5.26 (95% CI: 2.86-9.09). While these genetic variations are closely linked to EOB, they do not affect serum glucose, triglycerides, HDL, LDL, BMI, or waist circumference. Conclusions: These findings indicate that factors beyond traditional metabolic pathways, potentially related to feeding behavior or hormonal regulation, may also link these genetic variations to obesity. Further research in a larger sample is essential to validate these findings and explore their potential to guide clinical interventions and public health strategies.

Exploring the Interplay of Genetics and Nutrition in the Rising Epidemic of Obesity and Metabolic Diseases

Background: Obesity has become a significant global health issue. This multifaceted condition is influenced by genetic, environmental, and lifestyle factors, significantly influenced by nutrition. Aim: The study's objective is to elucidate the relationship between obesity-related genes, nutrient intake, and the development of obesity and the importance of other metabolic diseases. Methods: A comprehensive literature review spanning the past two decades was conducted to analyze the contributions of genetic variants-including FTO, MC4R, and LEPR-and their associations with dietary habits, highlighting how specific nutrients affect gene expression and obesity risk and how the coexistence of metabolic diseases such as type 2 diabetes and osteoporosis may modulate these factors. Moreover, the role of epigenetic factors, such as dietary patterns that encourage the development of obesity, was explored. Discussion and Conclusions: By understanding the intricate relationships among genetics, nutrients, and obesity development, this study highlights the importance of personalized dietary strategies in managing obesity. Overall, an integrated approach that considers genetic predispositions alongside environmental influences is essential for developing effective prevention and treatment methodologies, ultimately contributing to better health outcomes in diverse populations.

Nutrigenomics-guided lifestyle intervention programmes: A critical scoping review with directions for future research

Genetic testing is increasingly used in clinical practice to provide personalized information and recommendations about health risks and lifestyle habits at a relatively low cost. Research on the effectiveness of nutrigenomics-guided lifestyle interventions is growing. A scoping review approach was adopted to identify pertinent published studies on nutrigenomics-guided intervention programmes from 2007 to 2023. The review shows that despite the growing interest in nutrigenomics-guided lifestyle interventions, there are still few empirically supported studies, primarily based on developed countries. Furthermore, the findings on the impact of personalised genetic advice are mixed, leaving the field unclear. Existing studies have some empirical strength, contributing to further understanding of the relationship between food and gene expression. However, some limitations that affect the robustness of findings exist, such as a small sample size, insufficient monitoring of the data collection process, and a short follow-up period. Future research needs to address reliability concerns and provide more robust practical evidence.

Genetic Variants of Obesity in Malaysia: A Scoping Review

BACKGROUND

Obesity is a pressing public health issue in Malaysia, involving not only excess weight but also complex metabolic and physiological changes. Addressing these complexities requires comprehensive strategies, including understanding the population-level differences in obesity susceptibility. This review aims to compile the genetic variants studied among Malaysians and emphasize their implications for obesity risk.

METHODS

Relevant articles published up to March 2024 were extracted from the Scopus, PubMed, and ScienceDirect databases. The review process was conducted in accordance with the PRISMA-ScR guidelines. From an initial pool of 579 articles, 35 of these were selected for the final review.

RESULTS

The identified gene variants, including LEPR (K656N), LEP (G2548A-Indian only), ADIPOQ (rs17366568), UCP2 (45bp-I/D), ADRB3 (rs4994), MC3R (rs3827103), PPARγ (pro12Ala-Malay only), IL1RA (intron 2 VNTR), NFKB1 (rs28362491), and FADS1 (rs174547-Indian only), showed significant associations with obesity as measured by the respective studies.

CONCLUSIONS

Overall, more intensive genetic research is needed, starting with population-based profiling of genetic data on obesity, including among children. Sociocultural contexts and environmental factors influence variations in genetic elements, highlighting the need for targeted interventions to mitigate the impacts of obesity in the population.

Role of Planetary Health Diet in the association between genetic susceptibility to obesity and anthropometric measures in adults

BACKGROUND/OBJECTIVE

The roles of overall diet quality in linking genetic background with anthropometric measures are unclear, particularly regarding the recently developed Planetary Health Diet (PHD). This study aims to determine if the PHD mediates or moderates the relationship between genetic susceptibility to obesity and anthropometric measures.

SUBJECTS/METHODS

The study involved 2942 individuals from a Finnish population-based cohort (54% women, mean age 53 (SD ± 13) years). Habitual diet was assessed using a validated 130-item food frequency questionnaire, and the PHD Score (total score range 0-13 points) was adapted for Finnish food culture to evaluate diet quality. Genetic susceptibility to obesity was evaluated with a polygenic risk score (PRS) based on one million single nucleotide polymorphisms associated with body mass index (BMI). Baseline anthropometrics included weight, height, waist circumference (WC), and body fat percentage, with changes in these measures tracked over 7 years. A five-step multiple linear regression model and multivariable logistic regression with interaction terms were used to assess the mediating and moderating effects of the PHD. These analyses were also replicated in another Finnish cohort study (2 834 participants).

RESULTS

PRS for BMI was positively associated with baseline BMI and changes in anthropometric measures, except waist circumference (p = 0.12). Significant associations were observed for baseline BMI and WC (p < 0.001), changes in BMI and WC (p = 0.01), and body fat percentage change (p = 0.05). However, the PHD (average score 3.8 points) did not mediate or moderate these relationships. These findings were consistent in the replication cohort.

CONCLUSION

Diet quality assessed with the PHD did not mediate or moderate the associations between genetic susceptibility to obesity and anthropometric measures. This lack of effect may be partly due to low adherence to the PHD and the older age of participants ( > 50 years) at baseline.

Opportunities for General Internal Medicine to Promote Equity in Obesity Care

The number and complexity of obesity treatments has increased rapidly in recent years. This is driven by the approval of new anti-obesity medications (AOMs) that produce larger degrees of weight loss than previously approved AOMs. Unfortunately, access to these highly effective therapies and to integrated team-based obesity care is limited by intra-/interpersonal patient, institutional/practitioner, community, and policy factors. We contextualized these complexities and the impact of patients' social drivers of health (SDOH) by adapting the social ecological model for obesity. Without multi-level intervention, these barriers to care will deepen the existing inequities in obesity prevalence and treatment outcomes among historically underserved communities. As General Internal Medicine (GIM) physicians, we can help our patients navigate the complexities of evidence-based obesity treatments. As care team leaders, GIM physicians are well-positioned to (1) improve education for trainees and practitioners, (2) address healthcare-associated weight stigma, (3) advocate for equity in treatment accessibility, and (4) coordinate interdisciplinary teams around non-traditional models of care focused on upstream (e.g., policy changes, insurance coverage, health system culture change, medical education requirements) and downstream (e.g., evidence-based weight management didactics for trainees, using non-stigmatizing language with patients, developing interdisciplinary weight management clinics) strategies to promote optimal obesity care for all patients.

Association between obesity phenotypes and dietary patterns: A two-step cluster analysis based on the China multi-ethnic cohort study

OBJECTIVE

This study aimed to explore obesity phenotypes and investigate their association with dietary patterns.

METHODS

Data were obtained from the baseline survey conducted in the China Multi-Ethnic Cohort Study from July 2018 to August 2019. All participants with a body mass index of at least 24 kg/m2 were enrolled and underwent a questionnaire survey, physical examination, and clinical laboratory tests. A two-step cluster analysis was employed to classify the participants into phenotypes. Dietary information was collected using the food frequency questionnaire, and principal component analysis was conducted to identify distinct dietary patterns.

RESULTS

We analyzed the data of 8757 participants. They were categorized based on demographic characteristics, biochemical indicators, and anthropometric measurements into two distinct clusters identified as metabolically healthy obesity and metabolically unhealthy obesity (MUO). Key predictors included serum uric acid, sex, and diastolic blood pressure. Subgroup analysis by sex identified three distinct clusters within both male and female participants. The MUO group had the highest prevalence of a range of chronic noncommunicable diseases. The analysis uncovered three unique dietary patterns among participants classified as the premium protein, rice-oil-red meat, and oil-salt patterns. Notably, the MUO subgroup demonstrated significantly higher factor scores for both the rice-oil-red meat and oil-salt patterns.

CONCLUSIONS

Obesity phenotypes are closely related to metabolic and demographic characteristics, with serum uric acid being a significant factor in categorizing the metabolic states of obesity. The rice-oil-red meat and oil-salt patterns may be related to the metabolic status of individuals with obesity.

An optimized instrument variable selection approach to improve causality estimation in association studies

Mendelian randomization (MR) is an emerging tool for inferring causality in genetic epidemiology. MR studies suffer bias from weak genetic instrument variables (IVs) and horizontal pleiotropy. We introduce a robust integrative framework strictly adhering with STROBE-MR guidelines to improve causality inference through MR studies. We implemented novel t-statistics-based criteria to improve the reliability of selected IVs followed by various MR methods. Further, we include sensitivity analyses to remove horizontal-pleiotropy bias. For functional validation, we perform enrichment analysis of identified causal SNPs. We demonstrate effectiveness of our proposed approach on 5 different MR datasets selected from diverse populations. Our pipeline outperforms its counterpart MR analyses using default parameters on these datasets. Notably, we found a significant association between total cholesterol and coronary artery disease (P = 1.16 × 10-71) in a single-sample dataset using our pipeline. Contrarily, this same association was deemed ambiguous while using default parameters. Moreover, in a two-sample dataset, we uncover 13 new causal SNPs with enhanced statistical significance (P = 1.06 × 10-11) for liver-iron-content and liver-cell-carcinoma. Likewise, these SNPs remained undetected using the default parameters (P = 7.58 × 10-4). Furthermore, our analysis confirmed previously known pathways, such as hyperlipidemia in heart diseases and gene ME1 in liver cancer. In conclusion, we propose a robust and powerful framework to infer causality across diverse populations and easily adaptable to different diseases.

Genetically Predicted Body Mass Index and Mortality in Chronic Obstructive Pulmonary Disease

Rationale: Body mass index (BMI) is associated with chronic obstructive pulmonary disease (COPD) mortality, but the underlying mechanisms are unclear. The effect of genetic variants aggregated into a polygenic score may elucidate the causal mechanisms and predict risk. Objectives: To examine the associations of genetically predicted BMI with all-cause and cause-specific mortality in COPD. Methods: We developed a polygenic score (PGS) for BMI (PGSBMI) and tested for associations of the PGSBMI with all-cause, respiratory, and cardiovascular mortality in participants with COPD from the COPDGene (Genetic Epidemiology of COPD), ECLIPSE (Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points), and Framingham Heart studies. We calculated the difference between measured BMI and PGS-predicted BMI (BMIdiff) and categorized participants into groups of discordantly low (BMIdiff <20th percentile), concordant (BMIdiff between the 20th and 80th percentiles), and discordantly high (BMIdiff >80th percentile) BMI. We applied Cox models, examined potential nonlinear associations of the PGSBMI and BMIdiff with mortality, and summarized results with meta-analysis. Measurements and Main Results: We observed significant nonlinear associations of measured BMI and BMIdiff, but not PGSBMI, with all-cause mortality. In meta-analyses, a one-standard deviation increase in the PGSBMI was associated with an increased hazard for cardiovascular mortality (hazard ratio [HR], 1.29; 95% confidence interval [CI], 1.12-1.49), but not for respiratory or all-cause mortality. Compared with participants with concordant measured and genetically predicted BMI, those with discordantly low BMI had higher risks for all-cause mortality (HR, 1.57; 95% CI, 1.41-1.74) and respiratory death (HR, 2.01; 95% CI, 1.61-2.51). Conclusions: In people with COPD, a higher genetically predicted BMI is associated with higher cardiovascular mortality but not respiratory mortality. Individuals with a discordantly low BMI have higher all-cause and respiratory mortality rates than those with a concordant BMI.

Polygenic Risk Score, Cardiorespiratory Fitness, and Cardiometabolic Risk Factors: WASEDA'S Health Study

PURPOSE

This study estimated an individual's genetic liability to cardiometabolic risk factors by polygenic risk score (PRS) construction and examined whether high cardiorespiratory fitness (CRF) modifies the association between PRS and cardiometabolic risk factors.

METHODS

This cross-sectional study enrolled 1296 Japanese adults aged ≥40 yr. The PRS for each cardiometabolic trait (blood lipids, glucose, hypertension, and obesity) was calculated using the LDpred2 and clumping and thresholding methods. Participants were divided into low-, intermediate-, and high-PRS groups according to PRS tertiles for each trait. CRF was quantified as peak oxygen uptake (V̇O 2peak ) per kilogram body weight. Participants were divided into low-, intermediate-, and high-CRF groups according to the tertile V̇O 2peak value.

RESULTS

Linear regression analysis revealed a significant interaction between PRS for triglyceride (PRS TG ) and CRF groups on serum TG levels regardless of the PRS calculation method, and the association between PRS TG and TG levels was attenuated in the high-CRF group. Logistic regression analysis revealed a significant sub-additive interaction between LDpred2 PRS TG and CRF on the prevalence of high TG, indicating that high CRF attenuated the genetic predisposition to high TG. Furthermore, a significant sub-additive interaction between PRS for body mass index and CRF on obesity was detected regardless of the PRS calculation method. These significant interaction effects on high TG and obesity were diminished in the sensitivity analysis using V̇O 2peak per kilogram fat-free mass as the CRF index. Effects of PRSs for other cardiometabolic traits were not significantly attenuated in the high-CRF group regardless of PRS calculation methods.

CONCLUSIONS

The findings of the present study suggest that individuals with high CRF overcome the genetic predisposition to high TG levels and obesity.