Obesity

Preconception weight loss by metabolic-bariatric surgery (MBS) improves maternal-fetal outcomes, but little is known about its impact on offspring growth and health. The preconception bariatric surgery and child health outcomes (POSIT) study aims to estimate the effects of maternal MBS-induced preconception weight loss on infant and childhood body size, growth, and related outcomes. This report presents the methods used to construct the POSIT cohort and its baseline characteristics. This retrospective cohort study sampled members from a United States healthcare system aged 18 and older with a singleton, live birth to create three study groups: 1) a treatment group including women who underwent preconception MBS and subsequently became pregnant (n=1,374); 2) a control group matched to the MBS pre-surgery body mass index (BMI) (pre-surgery controls, n=13,740); and 3) a second control group matched to the MBS post-surgical, pre-pregnancy BMI (pre-pregnancy controls, n=13,740). MBS and pre-surgery BMI controls showed slight imbalances in that pre-surgery BMI controls were on average ~6 months younger, had 0.6 lower BMI (44.5 kg/m2) at the time of their pregnancy and were more likely to have become pregnant in earlier years than the MBS group prior to surgery. MBS and pre-pregnancy controls had comparable age (mean {+/-} SD 33 {+/-} 5 years), pre-pregnancy BMI (33 {+/-} 6 kg/m2), and year of delivery. Following matching, the MBS group had similar socioeconomic and health disparities as the pre-surgery control group, and both were worse than pre-pregnancy control group. Pregestational maternal comorbidity index improved after MBS and matched the pre-pregnancy controls. Upon extraction of offspring growth patterns and mediation analyses of maternal weight loss and metabolic responses to MBS, study findings will investigate effects of preconception weight loss by MBS on short- and long-term child health outcomes. Results will guide future studies focusing on improving maternal preconception weight and maternal-fetal outcomes.

Objective: To investigate the effects of breaking up prolonged sedentary behavior (SB) on daily movement behavior and energy balance in adults with overweight/obesity. Methods: Thirty participants (16F/14M; 34.2+-7.3y; 29.5+-3.2kg/m2) were randomized to either BREAK (nine hourly 5-min brisk walking bouts) or a duration-matched intervention, ONE (45-min brisk walking), both performed 5 days/week for 6 weeks. Pre- and post-intervention, daily SB and physical activity (PA; accelerometry), body composition (doubly labeled water [DLW]), total daily energy expenditure (TDEE; DLW), appetite, and fasting leptin were measured. Linear-mixed effects models tested time effects and time-by-group interactions. Results: Only BREAK reduced prolonged SB (-8%; interaction: p=0.043). Both groups shifted SB-PA composition toward greater moderate-to-vigorous PA with proportional reductions in SB and light PA (time: all p<0.012), which were associated with increases in TDEE (+0.67 MJ/d; time: p=0.040). Body and fat mass increased in ONE only (interaction: p=0.061 and p=0.055). No differences were noted in energy intake, appetite, or leptin levels. Conclusions: Spreading short PA bouts throughout the day increases MVPA and TDEE to the same extent as a traditional continuous PA bout. Future studies should investigate whether minor differences in body composition are driven by distinct behavioral/physiological compensations influenced by the daily pattern of PA/SB.

ObjectiveBMI alone does not capture obesity-related health heterogeneity. The Edmonton Obesity Staging System (EOSS) grades obesity severity based on comorbidities and functional impairment, whereas the Lancet Commission Diagnostic Model for Obesity (DMO) distinguishes preclinical from clinical obesity based on organ dysfunction. We assessed whether both frameworks identify overlapping phenotypes and how they classify obesity severity. MethodsA modified EOSS and DMO were applied to the UK Biobank (N {approx} 411,000). Stage distributions, cross-classification, and the impact of combining BMI with fat distribution on obesity categorization were analyzed. ResultsAbout one quarter of participants were classified with obesity under both frameworks. Most were assigned to advanced stages, with high concordance for established disease. Differences were most pronounced in early stages: DMO captured a broader spectrum of mild/subclinical organ dysfunction, whereas EOSS emphasized established disease with prognostic relevance. Discrepancies reflected differences in operationalization of e.g. metabolic, cardiovascular, and mental health. Obesity thresholds influenced classification, with [~]50% reclassified when BMI was combined with different fat distribution parameters, highlighting sensitivity of early-stage assignment. ConclusionEOSS and DMO provide complementary perspectives on obesity severity. Integrating EOSSs prognostic granularity with DMOs multidimensional approach may improve risk stratification and identify individuals most suitable for intensive interventions. STUDY IMPORTANCEO_ST_ABSWhat is already known?C_ST_ABSO_LIBMI alone poorly reflects obesity-related health risk; comorbidities, organ dysfunction, and functional impairments are crucial for precise staging. C_LIO_LITwo major frameworks exist: EOSS focuses on prognostic severity, while DMO identifies early/preclinical obesity--but their agreement and clinical implications were unclear. C_LI What does this study add?O_LIDemonstrates that EOSS emphasizes established disease and prognostic severity, whereas DMO captures a broader spectrum of early or subclinical organ dysfunction, revealing distinct phenotypes within the same BMI-defined population. C_LIO_LIHighlights that combining BMI with anthropometric measures can reclassify up to [~]50% of individuals, illustrating the sensitivity of early-stage assignment to diagnostic thresholds. C_LI How might these results change the direction of research or the focus of clinical practice?O_LIIntegrating EOSSs prognostic detail with DMOs broad, multidimensional approach enables targeted intervention, helping clinicians prioritize patients for intensive obesity management or treatment. C_LIO_LIProvides evidence for harmonizing obesity classification beyond BMI, emphasizing the need for multidimensional assessment in both research cohorts and routine clinical practice. C_LI

ObjectiveTo evaluate the association between excessive gestational weight gain (GWG) and obstetric and perinatal outcomes among women with pre-pregnancy excess weight attending a public hospital in Lima, Peru. MethodsWe conducted a retrospective cohort study using routinely collected institutional records from Hospital Maria Auxiliadora. Women with singleton pregnancies and pre-pregnancy body mass index (BMI) [&ge;]25 kg/m{superscript 2} who delivered between January 2024 and August 2025 were included. Excessive versus non-excessive GWG was defined according to national guidelines. The primary outcome was a composite obstetric-perinatal outcome. Crude and adjusted relative risks (RRs) were estimated using Poisson regression with robust variance. Effect modification by pre-pregnancy BMI and maternal short stature was evaluated. ResultsOf 6082 records, 3118 met the eligibility criteria; 31.0% had excessive GWG. In adjusted analyses, excessive GWG was associated with a small increase in the risk of the composite outcome (aRR = 1.05; 95% CI: 1.01-1.09), but not with overall obstetric outcomes (aRR = 1.04; 95% CI: 0.99-1.09) or overall perinatal outcomes (aRR = 0.99; 95% CI: 0.85-1.15). The association varied according to pre-pregnancy BMI, with higher relative risks observed among women with obesity (classes I-III). ConclusionsAmong women with pre-pregnancy excess weight, excessive gestational weight gain was associated with a small increase in the risk of composite obstetric-perinatal outcomes but not with obstetric or perinatal outcomes analysed separately. The magnitude of the association differed across BMI categories, with stronger associations in higher obesity classes. These findings emphasise the importance of pre-pregnancy nutritional status when interpreting the potential impact of gestational weight gain on pregnancy outcomes.

Obesity prevalence continues to rise in the United States, with a disproportionate burden falling to West Virginia. To investigate the metabolic effects of region-specific dietary patterns, we developed the West Virginia Obesogenic Diet (WV-OD), a compositionally defined rodent diet based on nutritional analyses of meals consumed by obese individuals in the state. The WV-OD closely mirrors the macronutrient profile of the average American diet while incorporating regional features such as a greater sodium level and significantly less fiber. We compared the metabolic effects of the WV-OD to a matched control diet (WV-CD) and to a widely used high-fat diet (HFD, 60% of calories derived from fat) in male and female C57BL/6J mice. After 19 weeks, WV-OD-fed males exhibited weight gain and adiposity comparable to HFD-fed counterparts, along with glucose intolerance and hepatic triglyceride accumulation confirming the obesogenic and metabolically disruptive properties of the WV-OD. Unlike HFD-fed mice, WV-OD-fed males also displayed elevated circulating cholesterol and cholesterol esters without corresponding increases in hepatic total cholesterol. When compared to the HFD, the WV-OD did not increase uric acid or xanthine oxidoreductase (XOR) content of liver or circulation; however, both males and females on the WV-OD demonstrated trends towards elevated plasma uric acid. Interestingly, while exhibiting a similar caloric intake on either diet, the WV-OD females did not demonstrate significant fat accretion or metabolic dysfunction compared to females subjected to the 60% HFD. In toto, these findings: 1) establish the WV-OD as a regionally-grounded, yet broadly representative tool for modeling diet-induced obesity and metabolic dysfunction, 2) offer a physiologically relevant alternative to extreme-fat dietary models in preclinical research and 3) highlight sex-based differences in response to diet-induced obesity.

To characterize sleeping posture, behaviour, and environment in healthy pregnant participants and their bed partners across multiple nights in the home setting during late pregnancy, we completed a manual review of overnight video recordings from a four-night, in-home, level 3 sleep apnea study. Sleeping postures were scored according to a thirteen-posture classification system to determine the cumulative time per night spent in each sleeping posture. Additional aspects of sleeping posture, behaviour, and environment were also assessed. Forty-one pregnant participants and 36 bed partners completed the study, contributing 168 nights of video. Significant differences were found between the pregnant participants and bed partners in cumulative time spent in each posture as well as frequency and duration of episodes spent in each posture. Pregnancy status, side of the bed, and presence of a pregnancy pillow, bed partner, shared bed sheets, and pets in the sleeping space had various effects on the time spent in each posture. Pregnant participants spent more time in transition postures (going-to-sleep, waking-to-void, returning-to-bed, and waking-in-the-morning) than bed partners. There was a moderately positive correlation in posture changes between pregnant participants and their bed partners. Pets significantly increased the number of posture changes per night for both groups. Pregnant participants had more absences and time absent from bed. Sleep in late pregnancy is characterized by an increased frequency and duration of episodes spent in a restricted number of sleeping postures and is impacted by the sleep environment. Modifying the sleeping environment may improve comfort, minimize disturbances, and benefit sleep. Statement of SignificanceSubjectively-recalled supine going-to-sleep posture in late pregnancy is associated with stillbirth and fetal growth restriction. Sleeping posture, however, is dynamic, and few studies provide comprehensive analyses of sleeping posture in pregnancy using objective measurements. This novel study used a gold-standard objective measure of sleeping posture, was conducted across multiple nights in the participants own homes, and accounts for usual sleeping behaviours and environment by including the participants bed partner. A critical remaining knowledge gap is whether an individuals nightly sleeping posture varies significantly across the third trimester. Future work should use nightly, continuous, and objective methods to measure sleeping posture across the entire third trimester to bridge this gap and investigate the relationship between sleeping posture and pregnancy outcomes.

This updated systematic review and network meta-analysis evaluated the efficacy and safety of obesity management medications (OMMs) in terms of reducing body weight and obesity related complications. Medline and Embase were searched up to 21 November 2025 for randomized controlled trials comparing OMMs versus placebo or active comparators in adults. The primary endpoint was percentage total body weight loss (TBWL%) at the end of the study. Secondary endpoints were TBWL% at 1, 2 and 3 years, anthropometric, metabolic, mental health and quality of life outcomes, cardiovascular morbidity and mortality, remission of obesity related complications, serious adverse events and all cause mortality. Sixty six RCTs (66 comparisons) were identified: orlistat (22), semaglutide (18), liraglutide (11), tirzepatide (8), naltrexone/bupropion (5) and phentermine/topiramate (2), enrolling 63,909 patients (34,861 and 29,048 with active compound and placebo, respectively). All OMMs showed significantly greater TBWL% versus placebo; tirzepatide and semaglutide exceeded 10% TBWL and showed the most favourable glycaemic effects. Semaglutide reduced major adverse cardiovascular events and all cause mortality. In dedicated complication specific trials, semaglutide and tirzepatide showed benefit on heart failure related outcomes; tirzepatide was associated with improved obstructive sleep apnoea syndrome and semaglutide with knee osteoarthritis pain remission. Tirzepatide and semaglutide were associated with improvements in metabolic dysfunction-associated steatohepatitis remission, and semaglutide with improvement in liver fibrosis. No OMMs were associated with an increased risk of serious adverse events. These updated results reinforce the need to individualize OMMs selection according to weight loss efficacy, complication profile and safety.

Background: The timing of energy intake could be important in the development of obesity. However, most observational evidence stems from adults, anthropometric defined obesity outcomes, single meal timing phenotyping, and traditional regression modeling. Objective: We aimed to describe meal timing patterns in adolescents and determine if they associated with fat mass by modeling the median and all other percentiles of the frequency distribution. Methods: We analyzed data from the Sleep and Growth Study 2 (S-Grow2, N=286, 12-13y). Participants completed 3-day 24-hour dietary recalls and time stamped eating occasions were used to define 8 meal timing traits, with aide from self-reported wake and bed timing. Principal component analysis (PCA) identified multi-dimensional meal timing patterns. Fat mass index (FMI) was estimated using dual energy X-ray absorptiometry. Quantile regression assessed if there were associations between meal timing traits and FMI across the entire FMI frequency distribution. Results: The typical first and last eating occasions were 8:00am (40 minutes after waking) and 8:00pm (2.7 hours before sleep), respectively, thus the eating period typically lasted 11.5 hours per day. The typical eating period midpoint was 2:15pm, and the timing when 50% of energy intake was consumed typically occurred at 3:15pm. PCA revealed three meal timing patterns: 1) Delayed Start, Condensed Eating Period (43% of variance; shorter eating period and delayed timing of first eating); 2) Late, Sleep Proximal Eating (30% of variance; later timing of last eating and extended eating period), and 3) Later Energy Intake (10% of variance; delayed energy intake midpoint). Higher scores for the Delayed Start, Condensed Eating Period pattern associated with higher body mass index and FMI at the upper tails of their distributions. Conclusions: Distinct multidimensional meal timing patterns emerged in early adolescence, with the delayed start, condensed eating period pattern potentially associated with higher adiposity.

BackgroundThis study was designed to investigate the relationship between visceral fat metabolic score (METS-VF), lipid accumulation product (LAP), visceral adiposity index (VAI) and thyroid function. MethodsUtilizing data from the National Health and Nutrition Examination Survey (NHANES) 2007-2012, participants were excluded if they lacked data on METS-VF, LAP, VAI or thyroid function, or were under 18 years of age. Multiple linear regression, smooth curve fitting, and subgroup analyses were performed to determine the independent relationship between lipid accumulation and thyroid function. ResultsAfter full covariate adjustment, all three visceral adiposity indices showed significant positive associations with FT3 (LAP: {beta}=0.028, VAI: {beta}=0.024, METS-VF: {beta}=0.026; all P<0.001), FT3/FT4 ratio, TT3, TT4, and TgAb. LAP and VAI demonstrated inverse associations with FT4 ({beta}=-0.218 and -0.183, respectively; both P<0.001), while VAI and METS-VF were positively associated with TSH ({beta}=0.149, P=0.041; {beta}=0.167, P=0.025). Quartile analyses confirmed dose-dependent relationships, with Q4 participants showing elevated FT3, FT3/FT4, TT3, TT4, and reduced FT4 compared to Q1. RCS analyses revealed distinct non-linear patterns: LAP exhibited non-linearity with FT3, TSH, TT3, and TT4 (all P-nonlinear<0.05) but linear inverse associations with FT4. VAI displayed reverse L-shaped curves for FT3, TSH, and TT3 with plateaus at higher levels, while TT4 showed an inverted U-shape. METS-VF demonstrated non-linear increases for FT3 and TT3, linear associations with TSH and TT4, and an inverted U-curve for FT4. Stratified analyses identified age, race, and smoking as consistent modifiers of FT3/FT4 associations across all indices (interaction P<0.05), with stronger effects in younger/older adults, males, White participants, and high-income groups. TT3 and TT4 modification patterns varied by index. Thyroid autoantibodies showed minimal associations across all indices. ConclusionVisceral lipid accumulation is closely associated with thyroid dysfunction, and this association exhibits significant non-linear characteristics, which are modulated by factors such as age, race, and lifestyle habits. These findings provide new perspectives for the early identification and intervention of obesity-related thyroid dysfunction.

Objectives To estimate population-level eligibility for glucagon-like peptide-1 receptor agonist (GLP-1RA) medications among adults in Australia, according to Therapeutic Goods Administration (TGA) approved indications for chronic weight management and secondary prevention of cardiovascular disease. Design Cross-sectional analysis of data from the Australian Bureau of Statistics 2022 National Health Survey. Setting, Participants Non-pregnant adults [&ge;] aged 18 years who are usual residents of Australia and living in a private dwelling. Main outcome measures Total number of adults who are eligible for GLP-1RA medications according to TGA approved indications for chronic weight management and secondary prevention of cardiovascular disease, across subgroups defined by body mass index, weight-related comorbidities, and/or socio-demographic factors. Results In total, 39.7% (95% CI 38.4 - 41.0%) of adults in Australia are eligible for GLP-1RA use for chronic weight management, accounting for 7.8 million (95% CI, 7.6 - 8.1 million) individuals. Among those eligible under this indication, 2.9 million (95% CI 2.7 - 3.1 million) adults had no weight-related comorbidities, 3.3 million (95% CI 3.1 - 3.4 million) adults had at least 1 weight-related comorbidity, and 1.7 million (95% CI 1.6 - 1.8 million) adults had at least 2 weight-related comorbidities. The proportion of adults eligible under this indication varied across clinical and sociodemographic factors. Among those eligible under the chronic weight management indication, up to 338.9 thousand (95% CI 271.3 - 406.5 thousand) adults also meet the indication for secondary prevention of cardiovascular disease. Conclusions More than one third of Australian adults are eligible to access GLP-1RAs for chronic weight management, with 3.7-4.3% of adults also qualifying according to the indication for established cardiovascular disease. This study provides a valuable reference to allow policy makers to understand the number of adults in Australia that may benefit from access to GLP-1RA medications under a range of coverage scenarios.

Obesity is a major contributor to cardiometabolic disease, and pharmacological therapies such as semaglutide are increasingly used to induce weight loss. However, the commonly used diet-induced obesity model in C57BL/6J mice is limited by relative resistance to weight gain in females, complicating the study of sex-specific effects. Here, we used leptin-deficient ob/ob mice, which develop severe early-onset obesity in both sexes, to investigate sex-specific responses to semaglutide on skeletal muscle mass, function, and mitochondrial metabolism. The ob/ob mice were treated daily with semaglutide or vehicle for three weeks, followed by assessments of body composition, muscle and organ mass, muscle contractile function, and mitochondrial efficiency. Semaglutide induced comparable reductions in body weight and food intake in both sexes but elicited distinct sex-specific changes in body composition. Male mice exhibited losses in both skeletal muscle and organ mass, whereas female mice preferentially lost fat and organ mass while preserving skeletal muscle. Despite these divergent structural adaptations, muscle force generation remained intact in both sexes. Collectively, these findings reveal pronounced sexual dimorphism in skeletal muscle and metabolic remodeling during pharmacologically induced weight loss, highlighting the importance of considering biological sex when evaluating the metabolic and therapeutic effects of anti-obesity interventions. Article HighlightO_LIC57BL/6J mice are limited by relative resistance to weight gain in females, complicating the study of sex-specific effects. So, we wanted to determine the sex-specific effect of semaglutide on skeletal muscle function, and mitochondrial metabolism in ob/ob mice. C_LIO_LIWe assessed body composition and ex-vivo muscle force following the treatment and found that the female ob/ob mice are protected from semaglutide-induced skeletal muscle mass loss. C_LIO_LIThese findings demonstrate sex-specific effects of semaglutide, highlighting the need to consider biological sex in GLP-1RA-based therapies. C_LI

BackgroundEmerging research indicates that light exposure may influence sleep quality. Identifying key light-exposure behaviours associated with poor sleep quality in athletes may allow practitioners to efficiently screen for sleep difficulties and prioritise athletes for further assessment. Translating these findings into a practical screening tool could enhance willingness of high-performance professionals to monitor sleep and light exposure in athletes. HypothesisKey predictor variables identified by feature reduction techniques will lead to higher predictive accuracy in determining which light behaviours are associated with poor sleep quality in athletes. Study DesignCross-sectional study. Level of EvidenceLevel 3. Methods121 athletes from varying competitive levels completed questionnaires, including the Light Exposure Behaviour Assessment (LEBA) and Pittsburgh Sleep Quality Index (PSQI). Poor sleep quality was defined using the PSQI cut-off >5. Least absolute shrinkage and selection operator (LASSO) regression identified light exposure variables from the LEBA questionnaire most strongly associated with good and poor sleep quality in athletes. Three models were compared: a full-variable model (23 items), a factor-specific model (Factor 3: screen/device use), and a feature-reduced model (LASSO-selected items). ResultsPhone use before bed, checking phone/watch during the night, were identified as variables of greatest association with poor sleep quality and used for reduced feature set modelling. On an independent test set, the feature-reduced model achieved area under the curve (AUC) 0.83, sensitivity 0.70, and specificity 0.92. ConclusionsOur findings report that phone-related behaviours before and in bed are associated with a higher likelihood of poor sleep quality. These behaviours, combined with the developed nomogram, provide a preliminary, low-burden screening tool to identify athletes who may be experiencing sleep difficulties. The high specificity indicates that athletes flagged by the tool are likely to have genuine poor sleep quality, warranting further assessment to identify underlying causes and appropriate interventions. Clinical RelevanceEducation and interventions focused on light exposure factors were identified as most influencing sleep quality in a multifaceted athletic population and could be prioritised to optimise sleep quality. The developed sleep quality nomogram may be useful as a decision-making tool to improve sleep monitoring practice among practitioners.

Background: Ethnic minorities and socioeconomically disadvantaged populations in the UK are at increased risk of obesity. We modelled longitudinal body mass index (BMI) trajectories through infancy, childhood, and adolescence to identify at-risk groups and modifiable risk factors. Methods: This cohort sampled 10,350 White and South Asian children born in Leicestershire, 1985-1997. We included 5,571 participants with [&ge;]3 BMI measurements between 0-18 years collected from healthcare records, questionnaires, and study visits. We used Group-Based Trajectory Modelling of BMI, separately by sex and ethnicity, and combined. We identified at-risk groups and modifiable risk factors using multinomial logistic regression, with inverse probability weighting to reduce selection bias. Results: We identified similar five BMI trajectories across sex and ethnicity: stable normal BMI (47%); persistent low BMI (30%); early overweight resolving (8%); childhood onset obesity (4%); and adolescent onset overweight (11%). Childhood onset obesity deviated from stable normal BMI at 2-4 years of age, adolescent onset overweight at 4-6 years. South Asians were at higher risk of childhood onset obesity (aOR: 1.66 [95%CI 1.08-2.53]) and adolescent onset overweight (1.29 [0.98-1.71]) than Whites. Children from deprived backgrounds (1.66 [0.92-2.82], most vs least deprived quintile) and those with less educated parents (1.67 [1.08-2.63], compulsory vs higher education) were at increased risk of childhood onset obesity. Smoking during pregnancy (1.50 [0.88-2.54]) and absence of breastfeeding (1.56 [1.07-2.29]) increased risk of childhood onset obesity. Physical activity decreased risk of childhood onset obesity (0.64 [0.44-0.93], [&ge;]4 vs 0-3 hours/week) and adolescent onset overweight (0.75 [0.59-0.94]). Conclusion: BMI trajectories diverge as early as age 2 years, revealing ethnic and social inequalities. Obesity strategies in the UK should intervene during critical windows in early life and prioritise South Asian children and those from socioeconomically deprived backgrounds.

BackgroundHigher-quality diets have been associated with lower levels of ectopic fat deposited in the viscera and liver, which is hypothesized to be mediated in part by the gut microbiota. ObjectivesWe tested this hypothesis in a multi-ethnic imaging study using global (microbiome-wide) testing as well as a high-dimensional multiple-mediators regression framework to identify bacterial genera in the human gut that mediate the association between diet quality and ectopic adiposity. MethodsWe analyzed the cross-sectional data of 1,400 older adults (age 60-77) from five racial/ethnic groups in the Multiethnic Cohort Adiposity Phenotype Study (2013-2016). Overall diet quality was defined by adherence to the MIND diet. The relative abundance of 151 bacterial genera was quantified from 16S rRNA gene sequencing of the stool samples. Visceral fat, liver fat, and the presence of MASLD (metabolic dysfunction-associated steatotic liver disease) were determined based on magnetic resonance imaging (MRI). We used high-dimensional mediation analysis (HDMA) to estimate gut microbial mediation in the linear regression of visceral fat or liver fat, or in logistic regression of MASLD, on the MIND adherence score, adjusted for potential confounders. ResultsHigher diet quality was associated with lower ectopic adiposity: 12% less visceral fat area, 23% less liver fat, and a 49% less likelihood of having MASLD, comparing the highest to the lowest quartile of the MIND score. Using a distance-based global test, we confirmed overall significant microbial mediation of the inverse diet-ectopic fat association. From HDMA, four bacterial genera were identified as mediating the protective association with visceral fat, with the largest mediation conferred by Lachnospiraceae UCG.001 (12.2%). Two genera (Lachnoclostridium, Weissella) were shown to mediate the MIND association with both liver fat and MASLD. In particular, Lachnoclostridium mediated 13.6% of the liver fat association and 10.8% of the MASLD association, and Lachnospiraceae UCG.001 additionally mediated 12.1% of the liver fat association. ConclusionsOur results support the hypothesis that the gut microbiota contributes to conveying the effect of diet quality on preferred body fat distribution, e.g., involving bacteria that are known to produce short-chain fatty acids (Lachnospiraceae) or secondary bile acids (Lachnoclostridium).

We completed a video-based, four-night, in-home, level 3 sleep apnea study of healthy, low-risk pregnant participants and their bed partners in order to characterize sleep physiology in the third trimester of pregnancy. Demographic, anthropometric, and baseline sleep health characteristics were recorded, and the NightOwl home sleep apnea test device was used to measure sleep breathing, posture, and architecture parameters. Symptoms of restless legs syndrome were elicited in the exit interview. Forty-one pregnant participants and 36 bed partners completed the study. Bed partners had a significantly higher prevalence of sleep apnea than their pregnant co-sleepers (31% vs. 5.9%). Bed partners also had more severe sleep apnea than their pregnant co-sleepers, and this persisted on an adjusted analysis for baseline differences in factors known to increase risk of sleep apnea. In pregnant participants, increasing gestational age was found to be protective against mild respiratory events but not more severe events. While the correlation between STOP-Bang score and measures of sleep apnea severity was weak, an affirmative response to the witnessed apneas item on the STOP-Bang questionnaire was a strong predictor of more severe sleep apnea for all participants. Smoking history also increased sleep apnea risk. Pregnant participants had lower sleep efficiency and longer self-reported sleep onset latency. Restless legs syndrome was experienced by 39.5% of the pregnant participants but no bed partners. From a sleep breathing perspective, people with healthy, low-risk pregnancies have better sleep than their bed partners despite lower sleep efficiency and higher rates of restless legs syndrome.

Importance: Glucagon like peptide 1 receptor agonists (GLP 1 RAs) and dual glucose dependent insulinotropic polypeptide/glucagon like peptide 1 receptor agonists have demonstrated what may be considered transformative efficacy in recent randomized clinical trials for the treatment of obesity, yielding substantial weight loss in a majority of participants. However, the extent to which these trial results translate into routine clinical practice particularly within the rapidly expanding direct to consumer (DTC) telehealth sector serving self pay populations remains insufficiently characterized. As access to and affordability of these therapies broaden beyond traditional insurance based care models, evaluating real world effectiveness, safety, and patient engagement among individuals shouldering the full financial cost of treatment is essential for informing future models of obesity care delivery. Objective:To assess long term medication specific weight loss outcomes, including gender specific responses and discrepancies, and explore usage trends in a real world, self pay telehealth cohort receiving GLP 1 RA therapy, using an Observational study design (Retrospective data analysis). Setting and Participants:Retrospective data of patients enrolled in electronic health records (EHR) from Carevalidate, a national US telehealth platform provider for Online TeleHealth companies. The data collected ranged for a total of 703 days from January 12, 2024, to December 15, 2025. The analysis included 572 adults with overweight or obesity diagnosis who initiated treatment with semaglutide or tirzepatide and completed a minimum of 9 months of active follow up. Patients with insufficient follow up or those utilizing insurance coverage were excluded to isolate the self pay phenotype. Exposures: Prescription of semaglutide or tirzepatide (injectable or oral formulations) via synchronous or asynchronous telehealth consultations, titrated according to standard clinical protocols adapted for patient tolerance and financial sustainability. Main Outcomes and Measures: The primary outcome was percentage total body weight loss (%TBWL) from baseline to the last recorded encounter. Secondary outcomes included categorical responder rates (5%, 10%, 15%, >20% weight loss), weight loss velocity analysis, and telehealth utilization metrics (frequency of encounters and visit intervals) including gender differences in approaching the telehealth program. Results: The final analytical cohort included 572 patients (79.2% female; 20.8% male). Overall, 95.8% (548/572) achieved weight loss, while 3.7% experienced weight gain. At 12 months, the mean %TBWL was 13.8% for the semaglutide cohort (n=450) and 12.5% for the tirzepatide cohort (n=122), with no statistically significant difference between the two medications (P >.05), contrary to standard clinical trial data suggesting tirzepatide superiority. A significant gender difference was observed: females were significantly more in number comprising 80% of the cohort and were likely to be "major responders" (>20% weight loss) compared to males (29.8% vs 5.9%; P <.001). Conversely, males demonstrated significantly higher utilisation rates, attending more frequent encounters (mean 13.5 vs 12.7; P =.028) with shorter intervals between visits (35.6 vs 44.1 days; P =.009) compared to females. Weight loss velocity for both medications peaked during months 1 to 3 (~1.07 lbs/week) and declined substantially by months 12 to 15, indicating a plateau effect independent of the specific agent used. Conclusions and Relevance: Telehealth-managed GLP 1 treatment in a self pay population demonstrates high efficacy comparable to clinical trials for semaglutide. However, tirzepatide outcomes fell short of trial benchmarks, likely due to economic barriers preventing optimal dose titration and lower sample size. The study identifies a discrepancy where females approach the telehealth based self pay system more but males engage more frequently with the digital platform which could be due to inferior physiological outcomes ( less weight loss and more non responders) compared to females.This suggests that while telehealth is a viable model for long term obesity care, the "one size fits all" approach may be insufficient for under responders, who may require distinct titration strategies or tailored behavioral interventions to overcome baseline genetic and biological resistance.

Selectively bred diet-induced obesity-prone (DIO-P) rats have defective nutrient sensing prior to obesity onset. We hypothesized that glial inflammation in the arcuate nucleus (ARC) impairs hypothalamic responses to dietary clues, thereby promoting obesity development in genetically susceptible animals. This study established a timeline of inflammatory events in male and female DIO-P and diet-resistant (DR) rats fed either a low fat chow or exposed to a high energy diet (HED; 32% fat, 25% sucrose) for three days or four weeks. On chow diet, DIO-P rats of both sexes displayed elevated astrocyte density and increased expression of pro-inflammatory markers in the ARC, alongside reduced microglial content, compared to DR rats. Three days of HED transiently amplified most MBH pro-inflammatory markers in DIO-P rats. Four weeks of HED decreased GFAP expression in DIO-P rats while Iba1 density remained unchanged, whereas, DR rats showed a reduction in Iba1with no change in GFAP or cytokine expression. To determine whether mediobasal hypothalamus (MBH) astrocyte inflammation contributes to the development and maintenance of an obesity, astrocytic IKK{beta} was depleted before or after HED exposure. Prophylactic MBH astrocyte-specific IKK{beta} knockdown prevented subsequent body weight gain, improved glucose tolerance and decreased leptin levels in DIO-P rats to levels comparable to DR rats, with no effect in the latter. In contrast, MBH IKK{beta} astrocytic depletion in already obese DIO-P rats had no effect on energy homeostasis. Together, these findings validate the DIO-P rat as a polygenic model of obesity predisposition and demonstrate that preventing ARC astrogliosis is sufficient to HED-induced body weight gain and obesity development in genetically susceptible animals, highlighting MBH inflammation as a marker and driver of obesity predisposition. HighlightsO_LIChow-fed DIO-P rats present heightened ARC astrogliosis and cytokine expression preceding HED-induced obesity. C_LIO_LIInhibition of IKK{beta} in MBH astrocytes prevents DIO-P rats from becoming obese. C_LIO_LIOnce obese, inhibition of IKK{beta} in MBH astrocytes is not sufficient to reverse the obese phenotype. C_LI

Oxytocin is a hypothalamic hormone and neuromodulator that has been linked to a variety of different functions, including parturition, social behavior, and cognitive processing. More recently, oxytocin has also been associated with metabolism and energy balance. However, evidence to date in this field has been inconsistent, especially in human research. To address this, we performed a preregistered systematic review and meta-analysis, which synthesized existing literature on the effect of exogenous oxytocin administration compared to a placebo on caloric intake and appetite in humans, using a living meta-analysis approach. Results indicated a significant, reductive effect of oxytocin administration on appetite in participants belonging to certain patient groups (e.g., obesity or type II diabetes; Hedges' g = -0.21). A separate moderator analysis evaluating oxytocin's effect on caloric intake revealed a conditional effect depending on the patient group, with the obesity group showing a significant effect. We did not find any statistically significant effects in healthy participants. However, further analyses revealed that these effects were also not equivalent, indicating that the data are currently too insensitive to draw clear conclusions. Taken together, the results provide some evidence for the role of oxytocin in regulating appetite in an anorexigenic, possibly homeostatic fashion. Future updates in this living meta-analysis may lead to more definitive conclusions.

This study compared the effects of a 25-min nap opportunity and a 10-min non-sleep deep rest (NSDR) condition on perceptual, cognitive, and physical performance in physically active young adults. Sixty participants (26 female, 34 male; 22 {+/-} 4 years) were randomly assigned to one of three groups (nap, NSDR, control; n = 20 each). All groups completed identical assessments immediately, 20 min, and 40 min post-intervention. Mixed-effects models, adjusted for sex, prior-night sleep, and weekly physical activity, revealed a significant Group x Time interaction for sleepiness, fatigue, readiness to perform, and handgrip strength (p < 0.05). At 40 min post-intervention, the nap group reported lower fatigue than control and higher readiness to perform than both control and NSDR (p < 0.05). No significant effects were observed for the NSDR condition on perceptual, cognitive, or physical outcomes (p > 0.05). These findings indicate that a short nap can enhance perceived readiness and reduce fatigue after a brief latency period, whereas NSDR did not elicit significant effects under the present conditions.

PurposeWeight loss is often pursued to improve cardiometabolic health and quality of life. However, rapid weight loss can lead to reductions in lean soft tissue mass and strength to compromise body composition and functional ability. Thus, identifying molecular predictors of muscular strength preservation during weight loss is critical to mitigating these effects. MethodsWe conducted a secondary analysis of the CALERIETM (Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy) trial, a two-year randomized controlled study of caloric restriction (CR) or ad-libitum intake in healthy adults without obesity. Among 198 participants, changes in whole-body mass and knee extensor strength were assessed over the first 12 months of the study which was primarily characterized by weight loss. Transcriptomic profiling was conducted in a subset of 42 participants who provided skeletal muscle samples. Linear regression was used to model the relationship between strength change and gene expression change, while controlling for changes in whole-body mass. Gene set enrichment analysis (GSEA) was performed using Hallmark pathways. Individual-level pathway analysis was performed via gene set variation analysis (GSVA). ResultsWe identified 96 out of 198 individuals (48.5%) who maintained or improved strength relative to body mass during weight loss (i.e. individuals with residuals > 0). Transcriptomics analysis on a subset of 42 individuals revealed 151 genes significantly associated with change in strength after accounting for change in whole-body mass (p < 0.01). Hub genes were identified as HSP90AA1 ({beta} = 34.45, SE = 7.32, p <0.001), EIF3A ({beta} = 36.14, SE = 10.27, p < 0.001), EIF5B ({beta} = 49.94, SE = 11.28, p < 0.001), and H3C1 ({beta} = -15.87, SE = 4.85, p < 0.001). GSEA revealed significant involvement of pathways related to cellular proliferation, immune regulation, protein secretion, and checkpoint control processes. GSVA identified a similar set of pathways. ConclusionsThese findings highlight molecular pathways supporting strength retention during CR-induced weight loss. Heat-shock protein, HSP90AA1, warrants further investigation as a candidate target for preserving muscle strength during interventions aimed at weight reduction.