Diabetes, Obesity and Metabolism

Abstract Background: Many adults with type 2 diabetes mellitus (T2DM) in India have a thin fat body type, with low skeletal muscle mass for their body mass index. Muscle is the main site of glucose disposal after a meal. Fasting blood sugar (FBS) mostly reflects glucose output from the liver, whereas postprandial blood sugar (PPBS) depends more on insulin driven glucose uptake by muscle. Objective: To show how the association between sarcopenia risk and postprandial glycemic excursion would be tested in older adults with T2DM and controlled fasting glucose. Methods: A cross sectional design is planned for adults aged 50 years or more with T2DM, FBS between 90 and 130 mg/dL and a stable oral regimen. Sarcopenia risk is measured with the SARC F questionnaire. Glycemic excursion (BG) is PPBS minus FBS. The method was applied to a dataset of 300 patients collected over an OPD setting. Groups were compared with Welchs t test, the relationship between SARC F score BG was tested with Pearsons correlation, and multiple linear regression adjusted for age, diabetes duration, FBS and drug regimen. Results: In the patient dataset (mean age 67.6 +/ 6.8 years), 64 patients (21.3%) had a high risk SARC F score. BG was 119.4 +/ 29.1 mg/dL in the high risk group and 74.8 +/ 22.8 mg/dL in the low risk group (difference 44.6 mg/dL, 95% CI 36.8 to 52.5; p<0.0001). SARC F score and BG were positively correlated (r = 0.777, p<0.0001). After adjustment, each 1 point rise in SARC F score was linked to a 10.2 mg/dL higher BG (95% CI 8.6 to11.7). The high risk group was about 6 years older, and age and diabetes duration explained part of the crude difference. Conclusion: The analysis plan can detect and quantify a link between SARC F score and post meal glucose rise while accounting for age, diabetes duration, FBS and drug regimen. Clinical treatment algorithms must shift from exclusively targeting insulin secretion to restoring the mechanical glucose sink through resistance training and age appropriate pharmacological adjustments

Objective: This 16-week, real-world retrospective cohort study of a behavioral weight management program evaluated the efficacy of a lower dose of compounded semaglutide on weight loss. Methods: Weight loss was compared among Noom Weight (NW) users, Noom Microdose GLP-1 Rx Program (NMGP) users prescribed a low dose of compounded semaglutide (up to 0.6mg/weekly), and Noom GLP-1 Rx Program (NGP) users prescribed a dose up to 1.2mg/weekly of compounded semaglutide via multiple-group latent growth curve models for the full sample and propensity score matched cohort. Users were matched on demographic characteristics, Area Deprivation Index, baseline Body Mass Index, and urbanicity. Results: In the full sample, participants (N = 29,788) were mostly middle-aged, urban-dwelling females. At 16 weeks, NW users lost 2.6%, NMGP users lost 8.3%, and NGP users lost 8.6% of their baseline weight (all comparisons p [&le;] .001). In the matched cohort (N = 3,657; n= 1,219 per group), participant characteristics were similar. At 16 weeks, NW users lost 2.6%, NMGP users lost 8.3%, and NGP users lost 9.1% of their initial weight (all comparisons p < .001). Conclusions: This large, retrospective cohort reports lower doses of compounded semaglutide alongside a behavioral companion achieve 91% of the weight loss of a higher dose of compounded semaglutide in the first 16 weeks.

Glucagon-like peptide-1 (GLP-1) receptor agonists produce less weight loss in people with type 2 diabetes than without, and higher compensatory doses are limited by gastrointestinal adverse events and lean-mass loss--leaving patients with obesity, type 2 diabetes, and metabolic dysfunction-associated steatohepatitis (MASH) inadequately treated. We tested whether linafexor, a pulsatile farnesoid X receptor (FXR) agonist, could augment the weight-loss efficacy of low-dose semaglutide in this population while preserving tolerability. In this multicenter, randomized, double-blind, placebo-controlled, phase 2 trial, 62 adults with obesity (body-mass index, 30-45 kg/m2), treatment-naive type 2 diabetes, and MASH (MRI-PDFF [&ge;]10%) were assigned to linafexor (4 mg orally once daily) or placebo, each with semaglutide (0.5 mg once weekly), for 16 weeks. The primary outcome was the percentage change in body weight at week 16. Adding linafexor more than doubled weight loss (-6.17% vs. -2.91%; treatment difference, -3.26%; 95% CI, -5.35 to -1.18; P=0.003), and more participants achieved at least 5% weight loss (53.3% vs. 28.1%; P=0.046). Consistent with this, combination therapy further reduced visceral adipose tissue (treatment difference, -13.85 cm2; P=0.035), the liver enzymes alanine aminotransferase and {gamma}-glutamyl transferase, and serum bile acids, whose changes correlated with weight and liver-enzyme improvements--associations absent with monotherapy. Gastrointestinal adverse events were comparable (23.3% vs. 18.8%), with no treatment-related serious adverse events or discontinuations. Thus, in a population with blunted GLP-1 responses, adding linafexor to low-dose semaglutide enhanced weight loss and improved body composition and hepatic measures while preserving tolerability--a dose-sparing, mechanism-complementary strategy (ClinicalTrials.gov number, NCT06492330).

Abstract Objective. To determine whether glucagon-like peptide 1 receptor agonist (GLP-1 RA) initiation is associated with excess skeletal muscle loss on repeat whole-body MRI. Research Design and Methods. In the German National Cohort, 58 adults with diabetes who initiated a GLP-1 RA between whole-body MRI examinations 4.6 years apart were matched on sex, age, BMI, and interval to 130 never-exposed controls with diabetes. Deep-learning-segmented tissue volumes were compared within matched sets. Results. Skeletal muscle volume declined 2.75 percentage points more in initiators (95% CI -4.51 to -0.99; P = 0.003), with 2.54 percentage points greater weight loss (P = 0.021). Adipose tissue differences (-4.8% internal torso, -3.2% subcutaneous) were nonsignificant. Conclusions. In this first population-based comparison of whole-body MRI before and after GLP-1 RA initiation with matched unexposed controls, initiators lost roughly 60% more muscle. Skeletal muscle loss is a measurable component of GLP-1 RA weight loss in routine care.

Background: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have rapidly expanded from primarily glucose-lowering agents for type 2 diabetes (T2D) to therapies used across diabetes, obesity, and cardiometabolic disease. Prescribing has risen sharply since 2018, especially with the broader uptake of semaglutide-based products. Still, real-world initiation patterns remain incompletely characterized in older adults with varying levels of cognitive vulnerability and frailty. Methods: We analyzed treatment patterns of GLP-1RA use in a retrospective cohort of adults aged >=65 years with T2D in a regional healthcare system from 2018 to 2026. We describe the demographic and clinical characteristics of new initiators of GLP-1RAs compared with initiators of alternative therapies, including sodium-glucose cotransporter-2 inhibitors (SGLT2i) and dipeptidyl peptidase-4 inhibitors (DPP-4i). We analyzed a sub-cohort of patients to identify the prevalence of baseline cognitive concerns using a large language model (LLM). We used a LASSO logistic regression to identify important predictors of GLP-1RA initiation compared to other therapies. Results: Of 58,754 adults aged 65 years or older with T2D, 5,095 initiated GLP-1RA, 5,483 initiated a SGLT2 inhibitor, and 1,516 initiated a DPP-4 inhibitor. GLP-1RA initiators were younger (mean 75.2 [SD 4.9] vs 77.7 [6.0] and 79.5 [7.1] years) and less often aged 80 years or older (17.7% vs 35.0% and 47.6%). The largest difference across groups was adiposity: mean BMI was 33.8 (6.2) vs 29.7 (5.7) and 28.6 (5.6) kg/m2 (SMD 0.592), with a BMI of 30 kg/m2 or higher in 72.1% vs 41.9% and 34.0%. Glycemic control was similar (mean HbA1c 7.46% vs 7.38% and 7.70%; SMD 0.165). GLP-1RA initiators were younger; more likely to be overweight; had lower average comorbidity index; and less dementia, heart failure, and renal disease than those initiating alternative therapies. GLP-1RA initiators had fewer hospitalizations 1-year prior to drug initiation. In a LASSO model, BMI greater than 27 kg/m2 was the strongest predictor of GLP-1RA initiation (positive), followed by baseline congestive heart failure (negative) and baseline hospitalization (negative). Conclusion: In this cohort of older adults, those with T2D who initiated GLP-1RAs were younger and had less comorbidities at baseline compared to initiators of other T2D therapies. Overweight BMI was the strongest predictor of GLP-1RAs initiation, whereas baseline HbA1c was similar across groups, suggesting that the decision to start GLP1-RA is more influenced by adiposity than glycemic control. Our analysis of real-world prescribing patterns appear to be in alignment with guidelines for Type II diabetes treatment1, which recommend GLP-1RA treatment for glucose lowering and weight management and SGLT2 treatment in those with risk of cardiovascular disease or heart failure.

Background & Aims: Dysglycemia is associated with increased risk for hepatic features, including steatosis and fibrosis. Yet, the associations of dynamic measures of glycemia with hepatic features among individuals without diabetes remain understudied. Methods: We included participants from the Framingham Heart Study (FHS) Third Generation cohorts without diabetes who underwent assessment for hepatic steatosis (controlled attenuation parameter [CAP]) and fibrosis (liver stiffness measurement ([LSM]), using vibration-controlled transient elastography, had [&ge;]3 days of continuous glucose monitor data (blinded Dexcom G6 Pro CGM) and completed a mixed meal tolerance test, containing a total of 600 kcal, 75 g carbohydrate, 21 g fat, and 29 g protein (MMTT, 2022-2025). We performed multivariable linear and logistic regression to investigate the associations of standardized 2-h postprandial glucose (2-h PPG) following MMTT, as well as CGM-derived measures, with CAP and log-transformed LSM, as well as hepatic steatosis (CAP[&ge;]274ndB/m) and fibrosis (LSM[&ge;]8.2 kPa), adjusting for confounders. Results: In 1071 FHS participants (58.3% female, 56.4% normoglycemia), mean age was 60.2 years and BMI 28.2 kg/m2. Higher 2-h MMTT-PPG and CGM summary measures of glycemic burden (e.g., % time >140 mg/dL) were associated with 23-36% higher odds of steatosis and higher CAP. Similarly, CGM summary measures of glycemic burden (e.g., % time >140 mg/dL) and glycemic variability (e.g., coefficient of variation) were associated with 28-59% higher odds of hepatic fibrosis but not log-LSM. Conclusion: Measures of postprandial and continuous glucose dynamics are associated with hepatic features among individuals without diabetes.

Introduction The aim of this study was to compare patient-reported outcomes (PROs) related to hypoglycemia recovery with FLO23011, a glucose/beta-hydroxybutyrate Multi-Energy Substrate for Hypoglycemia (MESH) treatment, versus standard glucose gel in adults with type 1 diabetes, and to explore associations between by continuous glucose monitoring-derived metrics and perceived and objective treatment response. Research Design and Methods In a randomized, open-label, crossover study, 12 adults with type 1 diabetes used either FLO23011 or glucose gel to treat hypoglycemia during two 6-week periods, with continuous glucose monitoring throughout. PROs were assessed using 14-domain questionnaires and exit interviews. CGM analyses from a broader discovery analysis examined patient-relevant recovery signals: glucose-band exposure versus psychological PRO scores, and baseline glycemic variability versus time-in-range response. Results FLO23011 was rated more favorably than glucose gel in 13/14 domains, with statistically significant in 10. Differences included speed of action (8.0 vs. 7.3; P = 0.025), after-effects reduction (8.0 vs. 6.2; P = 0.014), ease-of-use (8.9 vs. 4.9; P = 0.002), and overall management ability (8.5 vs. 7.4; P = 0.019). Interviews described faster cognitive recovery, reduced disruption, and greater confidence. Reduced Level 1 hypoglycemia exposure was associated with higher reduced-worry and management-ability ratings (n=5; {rho} = 0.90; P = 0.037). Higher baseline coefficient of variation was associated with greater time-in-range improvement with FLO23011 (n=9; {rho} = 0.917; P = 0.0005). Conclusions FLO23011 showed more favorable patient-reported recovery than glucose gel. Initial CGM-PRO analyses findings suggest perceived benefit may align with reduced Level 1 hypoglycemia, while baseline variability may identify greater objective response. Results support integrating patient-reported and glycemic outcomes to evaluate hypoglycemia treatments, warranting confirmation in larger blinded studies.

Background: Early postoperative weight loss may help predict later outcomes, but its reliability for longer-term weight loss and regain remains unclear. We assessed whether the percentage total weight loss (%TWL) 3 months after metabolic/bariatric surgery predicted later %TWL weight change/regain. Methods: This retrospective observational cohort study included 216 patients from a prospectively pre-recruited multicentre bariatric surgery cohort who underwent sleeve gastrectomy or Roux-en-Y gastric bypass and had 3-month %TWL and at least one later outcome. Linear regression assessed associations between 3-month %TWL and later %TWL plus weight change/regain outcomes. Adjusted incremental R2 quantified the additional variance explained by 3-month %TWL. Secondary procedure-stratified, diabetes-stratified, and baseline BMI comparator analyses are reported in the Supplementary Material. Results: Greater 3-month %TWL was associated with higher 1-year and 2-year %TWL in adjusted models (both p < 0.001) but not longer-term %TWL (p = 0.078). Incremental R2 was 38.23% for 1-year, 11.75% for 2-year %TWL and 2.25% for long-term %TWL. Greater 3-month %TWL was also associated with greater recurrent weight gain from 1 to 2 years and from 1 year to long-term follow-up. In secondary analyses, findings were broadly consistent across procedure and diabetes subgroups, while 3-month %TWL explained more additional variance in 1-year %TWL than baseline BMI Conclusion: 3-month %TWL predicted 1-year and 2-year outcomes but not longer-term %TWL, supporting its value as an early marker of postoperative weight trajectory. Heterogeneity in recurrent weight stability may contribute to weaker long-term prediction and warrants further study to determine whether early weight-loss patterns can identify patients requiring closer long-term weight management support.

Background & Aims: Childhood obesity is a complex, heterogeneous disease. Children with obesity are often grouped into metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO) phenotypes, although this classification may oversimplify the underlying metabolic diversity. We aimed to characterise the metabolic profiles associated with the conventional MHO/MUO classification and to identify data-driven metabolic profiles in 267 children and adolescents with obesity. Methods: In this cross-sectional study, we used serum 1H-NMR spectroscopy to quantify lipoproteins, glycoproteins, low-molecular-weight metabolites, and lipid fractions. Univariate comparisons and partial least squares discriminant analysis (PLS-DA) were used to characterise NMR-derived variables associated with MHO and MUO groups. We applied unsupervised k-means clustering based on principal component scores to identify data-driven metabolic profiles independent of the predefined clinical phenotypes. Results: Forty-one NMR-derived variables differed between MUO and MHO (FDR q-value < 0.05), predominantly in the triglyceride-rich lipoprotein and glycoprotein profiles, of which 31 were elevated in MUO. PLS-DA discriminated between MHO and MUO (AUC = 0.84, Q2 = 0.33; permutation p < 0.001). Unsupervised clustering identified two data-driven metabotypes that only partially overlapped with the clinical phenotypes: 27% of children with MHO clustered within the adverse metabolic profile (Cluster 2), characterised by a triglyceride-rich and inflammation-associated profile, whereas 41% of children with MUO were assigned to the comparatively favourable profile (Cluster 1). Clustering further revealed additional differences in lipoprotein subclasses and lipid composition that the MHO/MUO classification did not capture. Conclusions: The conventional MHO/MUO classification captures an important component of metabolic variation in childhood obesity but does not fully capture cardiometabolic heterogeneity. Quantitative 1H-NMR metabolomics identified putative metabotypes characterised by differences in lipoprotein composition and cholesterol distribution beyond clinical phenotypes. These findings support the potential value of metabolomic profiling to refine cardiometabolic risk stratification in children with obesity; however, the relevance of these data-driven metabotypes requires confirmation in independent cohorts and longitudinal follow-up studies.

Objectives. To evaluate the impact of reimbursement restrictions for glucagon-like peptide-1 receptor agonists (GLP-1RAs) for type 2 diabetes, introduced in Denmark in November 2024, on injectable semaglutide (Ozempic) utilization patterns and subsequent HbA1c changes among discontinuers. Design. Nationwide registry-based cohort study. Setting. Denmark. Participants. Adults treated with injectable semaglutide for diabetes (January 2018 to December 2025). Main outcome measures. We described temporal patterns in injectable semaglutide use before and after the policy change. Among semaglutide continuers after the policy change, we assessed whether continuation met a key criterion in the new policy: non-feasibility of sodium-glucose cotransporter 2 inhibitor use and high cardiovascular risk. We characterized semaglutide discontinuers around the policy implementation (March 2024 to November 2024) and subsequent treatment switches. Among discontinuers, we evaluated HbA1c changes and performed interrupted time series (ITS) analyses. Results. Following the policy change, use of injectable semaglutide declined modestly before subsequently increasing. Among 61,120 individuals classified as semaglutide continuers, 27,143 (44%) were already using an SGLT2i. Of the remaining 33,977 (56%), only 1,862 (5.5%) met a key reimbursement criterion (i.e., non-feasibility of SGLT2i use and high cardiovascular risk). Among 79,305 individuals with a semaglutide fill between March 2024 and November 2024, 22,096 (28%) were classified as discontinuers. Within six months, ~40% of discontinuers switched to other glucose-lowering therapies, most commonly SGLT2is (24%). 37% of discontinuers later reinitiated semaglutide. Among individuals with an on-treatment HbA1c measurement (within 12 months before their last semaglutide fill) and an off-treatment HbA1c measurement (6-12 months after their last semaglutide fill) (n=13,017), mean HbA1c increased from 49 to 57 mmol/mol (mean change +7.4 mmol/mol, 95% CI 7.2-7.6). ITS analysis showed that HbA1c increased by 5.9 mmol/mol (95% CI 5.1-6.7) at six months post-discontinuation, which attenuated to 3.1 mmol/mol (95% CI 2.2-4.1) at 12 months; raw monthly means (not included in the ITS model) suggested this persisted through 18 months. Conclusions. Following the policy change, population-level use of injectable semaglutide declined modestly before increasing again. Most discontinuers did not initiate another glucose-lowering therapy and experienced an increase in HbA1c that did not fully return to pre-discontinuation levels during follow-up.

Body mass index (BMI) alone may underestimate clinically relevant obesity because it does not capture central fat distribution. We compared obesity prevalence in Mexico using BMI-only criteria, adiposity-confirmed criteria, and the clinical obesity definition proposed by the Lancet Diabetes and Endocrinology Commission. We conducted a population-based, cross-sectional study of 13,160 adults aged 18 years or older who participated in the 2018-2019 Mexican National Health and Nutrition Survey (ENSANUT). Obesity prevalence was estimated through survey-weighted analyses that accounted for the complex sampling design. The weighted prevalence of obesity based on BMI was 34.5% (95% CI, 33.1-35.9), while 30.9% (95% CI, 29.6-32.2) met criteria for clinical obesity. One quarter of individuals with clinical obesity had a BMI under 30 kg/m2, a phenotype more common among older adults. Half of adults with a BMI under 30 kg/m2 showed elevated central adiposity. BMI alone underestimates clinically relevant obesity in Mexican adults. Adding waist-based measurements could improve the identification of individuals with excess fat and metabolic risk, both in clinical settings and population monitoring.

Objective: To estimate how often remission of type 2 diabetes is recorded in routine care, how long it lasts, and what ends it, separating a return of hyperglycemia from a restart of treatment. Research design and methods: We studied 136,781 adults aged 18 years or older with laboratory confirmed type 2 diabetes in the Protege linked electronic health record (EHR) and claims database. The 96,817 adults with glucose-lowering treatment recorded at or before cohort entry formed the primary (previously treated) cohort; 39,964 adults with no treatment recorded at entry were analyzed in parallel. Remission required two HbA1c values <6.5%, 90 to 365 days apart, the first at least 3 months after all glucose-lowering drugs were discontinued, with no therapy recorded between them. After remission we followed glycemic relapse (HbA1c over 6.5%) and treatment restart (a new outpatient prescription or dispensed fill) separately, with death as a competing event (Aalen Johansen). Results: Remission was documented in 4.33% of previously treated adults cohort and 15.57% in the cohort of untreated adults at entry. Five-year cumulative incidence (Aalen Johansen) was 3.82% (95% CI 3.69 ;3.93) and 13.27% (12.90;13.59) in each cohort, respectively. Remission was less common with greater baseline treatment burden: exploratory adjusted 5-year incidence was 4.65% in adults with 1 glucose-lowering class with a treatment episode recorded at or before entry, 3.62% with two, 2.69% with three, and 2.02% with four or more such drugs.. The Median Kaplan Meier duration of first remission was 226 days (IQR 93 to 855) in previously treated adults and 371 days (166 to 1,027) in adults untreated at entry; 37.9% (treated cohort) and 23.1% (untreated cohort) of episodes had ended by 152 days. Among remission episodes that had ended, median duration was 159 days (71 to 362) and 265 days (129 to 565) for the treated and untreated at entry cohort, respectively. Within 5 years of remission in previously treated adults, the first event ending remission was glycemic relapse in 31.94%, treatment restart in 47.83%, and death in 4.65%.Treatment restart was about 1.5 times as common as glycemic relapse as the first event ending remission. A second remission followed within 5 years in 19.53% of previously treated and 24.10% of untreated remitters. Conclusions: Recorded remission was uncommon and short-lived, and it ended more often with a treatment restart than with a rise in HbA1c. Studies of remission in real-world data should report relapse and restart separately and state how they confirm remission and establish that treatment stopped.

Background: Heat-inactivated postbiotics derived from Lactiplantibacillus plantarum have been proposed to support weight management and metabolic health by acting on the gut-metabolic axis, including endogenous glucagon-like peptide-1 (GLP-1) signaling. resM is an orally delivered formulation combining heat-inactivated L. plantarum RSB11 (RSB11-HI) with vitamin D3, vitamin B12, chromium picolinate, white mulberry (Morus alba) leaf, and fenugreek (Trigonella foenum-graecum) seed extracts. We tested the effects of resM on body weight and a panel of metabolic outcomes in adults with overweight or obesity. Methods: In a randomized, double-blind, placebo-controlled, parallel-group trial (NCT06911073), 80 adults with overweight or obesity were allocated 1:1 to oral resM or matched placebo for 8 weeks. The trial was conducted in a fully remote, direct-to-consumer setting. The primary outcome was absolute change in body weight at the final scheduled weekly assessment, Week 7, corresponding to completion of the 8-week intervention. Secondary outcomes included body-mass index; fasting insulin, HbA1c, and HOMA-IR; serum active GLP-1; strain-specific stool quantitative PCR for L. plantarum RSB11; food cravings measured using the Food Craving Questionnaire-Trait-reduced; depressive symptoms measured using the PHQ-9; safety laboratory measures; and adverse-event surveillance. Between-group differences were evaluated using independent-samples t-tests and baseline-adjusted ANCOVA, and within-group changes were evaluated using paired tests. Results: Body weight decreased by 2.6 kg, or 3.0%, in the resM group and increased by 0.5 kg, or 0.6%, in the placebo group. Food-craving scores fell by 15.1 points within the resM arm during the 8-week intervention (p<0.001), as did depression scores. Active GLP-1 approximately doubled among participants treated with resM and increased more than in the placebo group. Serum GLP-1 levels correlated with L. plantarum RSB11 levels in stool samples in the resM arm. Safety laboratory values remained within reference ranges, gastrointestinal symptoms were reported more frequently with placebo than with resM, and no serious adverse events were reported in either group. Conclusions: Over 8 weeks, resM produced clinically meaningful weight loss within the intervention group and compared with placebo, together with reductions in food cravings and depression scores and an approximately two-fold increase in active GLP-1. Larger and longer-duration trials are needed to confirm the persistence and generalizability of these findings.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major cause of chronic liver disease, with weight loss as the pivotal therapeutic strategy. However, the metabolic and molecular adaptations underlying rapid weight loss remain incompletely defined. In this pilot study, women with obesity and MASLD but without diabetes consumed a very low-calorie diet (VLCD) for 8 weeks. Clinical parameters, hepatic steatosis measured by controlled attenuation parameter (CAP), circulating metabolites, and microRNAs (miRs) were assessed before and after the dietary intervention. Integrated correlation and hierarchical clustering analyses were performed to identify molecular networks associated with clinical improvement. VLCD was well tolerated, resulting in significant weight loss (~11%) with ~80% adherence. Significant improvements in metabolic parameters were observed, including fat mass, waist circumference, blood pressure, insulinemia, HOMA-IR, HbA1c, and triglycerides, with unchanged liver enzymes. Hepatic steatosis decreased markedly, as indicated by a reduction in CAP, while stiffness remained unchanged. Metabolomic profiling revealed elevated ketone bodies and broad reductions in amino acid levels, consistent with enhanced fatty acid oxidation and a catabolic metabolic state. Correlation analysis identified distinct metabolite signatures associated with hepatic steatosis, with changes in CAP positively associated with changes in amino acids and inversely associated with changes in ketone bodies and tricarboxylic acid cycle intermediates. Circulating miRs underwent selective rather than global remodeling, with only a limited subset showing strong associations with clinical parameters, including CAP and HOMA-IR. Specifically, VLCD altered the circulating levels of miR-148a-3p, miR-140-3p, miR-10b-5p, and miR-345-5p. Integration of metabolomic and miR datasets identified coordinated metabolite-miR modules involving glucose metabolism, branched-chain amino acid catabolism, mitochondrial metabolism, purine metabolism, microbial metabolites, and cellular redox pathways. These findings demonstrate that improvement in hepatic steatosis during VLCD-induced weight loss is accompanied by coordinated remodeling of circulating metabolite-miR networks. Integrated multi-omics analysis identifies candidate molecular signatures associated with metabolic adaptation and highlights circulating miR-metabolite modules as potential biomarkers of therapeutic response in MASLD.

Background: Tirzepatide is conventionally initiated at 2.5 mg weekly and titrated to approved maintenance doses. Evidence describing weight change at injectable starting doses below 2.5 mg/week is limited. Methods: We conducted a retrospective, single-organization observational study of adults documented as new GLP-1 starts, with baseline body mass index (BMI) [&ge;]27 kg/m2, who initiated compounded injectable tirzepatide at a microdose of 1 or 2 mg/week (below the standard 2.5 mg/week starting dose). Source records were reviewed for baseline validity, prior treatment, weight consistency, and treatment exposure. The main descriptive analysis selected the latest eligible measurement per patient within observation windows of 14-35, 36-59, and 60-89 days of adjudicated treatment exposure, excluding observations after escalation above 2 mg/week. All 93 eligible measurements were included in a supporting random-intercept model. Analyses were retrospective and hypothesis-generating; no formal sample-size calculation was performed. Results: Sixty patients contributed 93 eligible follow-up measurements, of which 84 were selected for patient-window summaries. Mean age was 47.3 years, 81.7% were female, and mean baseline BMI was 33.3 kg/m2. Mean body-weight loss was 2.18% (95% CI 1.61-2.76; n=57) in the 14-35-day window at a median 21 days, 3.58% (95% CI 2.43-4.72; n=19) in the 36-59-day window at a median 48 days, and 6.10% (95% CI 4.60-7.60; n=8) in the 60-89-day window at a median 65.5 days. The adjusted model estimated 2.16 percentage points greater loss per 30 days of treatment exposure (95% CI 1.69-2.63). Conclusions: Weight loss was observed within the 14-35-, 36-59-, and 60-89-day observation windows among evaluable adults initiating compounded injectable tirzepatide at 1-2 mg/week. These uncontrolled findings are hypothesis-generating; the 36-59- and 60-89-day estimates are particularly limited by sparse follow-up.

Background: Cardio-kidney-metabolic (CKM) diseases share risk factors, but their shared and distinct risk factors for disease progression remain unclear. We examined whether classical risk factors predict baseline CKM indicators and their longitudinal changes in a population-based German National Cohort (NAKO) sample. Methods: In 2,650 NAKO-IMMEDIATE participants selected for deep-phenotyping, baseline values and 5-year changes in glycated hemoglobin (HbA1c), systolic blood pressure (SBP), pulse wave velocity (PWV), and estimated glomerular filtration rate (eGFR) were linearly regressed on age, sex, education, alcohol and tobacco consumption, body mass index (BMI), and residuals of BMI-adjusted waist circumference (WC) with mutual adjustment. Results: Baseline values for HbA1c were 34.6{+/-}5.8 mmol/mol, for PWV 8.3{+/-}1.5 m/s, for SBP 128.0{+/-}15.7 mmHg and for eGFR 96.0{+/-}14.6 ml/min/1.73 m2. Cross-sectionally, all risk factors were associated with one or more of the CKM indicators, with age and BMI being associated with all four indicators. Over 5 years, HbA1c (1.2{+/-}4.2 mmol/mol), PWV (0.5{+/-}1.2 m/s) and SBP (0.6{+/-}14.2 mmHg) increased, whereas eGFR (-2.3{+/-}9.5 ml/min/1.73 m2) decreased. Age (0.03 m/s per 5 year, 95% CI 0.01, 0.06 m/s) was associated with higher and BMI (-0.02 m/s per 1kg/m2, -0.03, -0.01) with lower PWV changes. No other risk factors were associated with CKM indicator changes. Conclusion: Classical risk factors were more frequently related to baseline CKM indicators than to their 5-year changes. Within longitudinal analyses, only age and BMI were related to PWV 5-year changes. Keywords: Cardio-kidney-metabolic function, risk factors, longitudinal studies

Purpose: To evaluate whether initiation of GLP-1 receptor agonists (GLP-1RAs) is associated with anti-VEGF treatment burden in type 2 diabetes patients with diabetic macular edema (DME) in the IRIS(R) Registry (Intelligent Research in Sight). Methods: Incident GLP-1RA initiators were matched 1:1 with controls via Mahalanobis distance matching (9,896 pairs; N=19,792) on sociodemographics, DME risk factors, and factors influencing GLP-1RA prescription including hypertension, obesity, chronic kidney disease. A longitudinal mixed-effects event-study model evaluated monthly anti-VEGF injection frequency over a 36-month window (12 months before through 24 months after initiation), adjusting for DME duration. Visual acuity (VA) and central subfield thickness (CST) were secondary outcomes. Results: Following GLP-1RA initiation, anti-VEGF injection trajectories did not significantly differ between the matched GLP-1RA and control cohorts (interaction coefficients -0.18 to 1.59, P>0.05). Likewise, no differences in VA were observed between cohorts (-0.05 to 0.04 logMAR, P>0.05) or CST (-14.12 to 33.58 {micro}m, P>0.05). Conclusion: In these matched cohorts, GLP-1RA initiation was not associated with the trajectory of anti-VEGF use or changes in VA or CST. Precis We used the American Academy of Ophthalmology IRIS(R) Registry (Intelligent Research in Sight) to identify patients with DME. In 19,792 matched patients, there was no significant reduction in injection frequency post GLP1-RA initiation and no significant change in VA or CST.

Importance: Preclinical and human observational studies suggest that metformin may decrease age-related pathology, including frailty. Objective: Determine whether metformin reduces frailty progression and biological age in older adults with glucose intolerance, a population at increased risk of becoming frail. Design, Setting and Participants: Randomized, double-blind, placebo-controlled trial of metformin in 145 non-frail or pre-frail older adults. Participants (72 +/-5 years, 48% female, 94% White, 35% Hispanic) were randomized to metformin vs. placebo for two years. Main Outcomes and Measures: Effect on frailty was primarily determined using generalized estimating equations by change in the Fried frailty phenotype score (based on weight loss, exhaustion, physical activity, gait speed, and grip strength). Because metformin can cause significant weight loss, effects on the Fried score were assessed with and without the weight loss criterion. Frailty also was assessed by change in the frailty index (composite of 95 deficits). Biological age was estimated by DNA methylation-based epigenetic clocks in blood. Results: Metformin led to a non-linear response in the Fried score rate of change, with an upward trajectory in year 1 (0.72 +/-0.22 per year vs. placebo, p=0.0011) and stabilization in year 2 (-0.33 +/-0.17 per year vs. placebo, p=0.056). Metformin led to more weight loss than placebo (-5.7 +/-5.2 vs. -2.3 +/-5.4 kg, p=0.0002); thus, when assessing effect on Fried score without the weight loss criterion, no difference was observed, indicating that weight loss in year 1 accounted for the change in Fried score. Notably, metformin caused a steady improvement in the frailty index (-0.006 +/-0.0026 per year vs. placebo, p=0.0222) that persisted with covariates adjustment including body mass index. Metformin reduced biological age estimated by PC-Horvath2 (-0.40 +/-0.16 per year, p=0.014) and PC-Hannum (-0.33 +/-0.16 per year, p=0.047) clocks. Metformin was well tolerated. Conclusions and Relevance: Metformin halts the progression of the deficit accumulation frailty index and reduces biological age, suggesting potential benefit for extending healthspan. Trial Registration: ClinicalTrials.gov: NCT02570672.

Aims To characterize adults with obesity in a large integrated health system. Methods We created a cross-sectional cohort of adults with at least one body mass index (BMI) value >=30 kg/m2 in the prior 18 months, a recent in-person outpatient visit, and an assigned primary care provider. Electronic health record data were transformed into a patient-level analytic dataset and linked to neighborhood-level social determinants of health. Diagnoses, laboratory values, vital signs, and prescriptions were curated using reproducible phenotype definitions and internally reviewed vocabularies. Results The registry included 284,143 adults, of whom 48% had class I obesity. The cohort was 63% female, 27% black, and 48% lived in areas with high or very high social vulnerability. Common comorbidities included hypertension, type 2 diabetes, depression, and anxiety. HbA1c and cholesterol measurements were absent in more than 40% of the cohort during the prior two years. Overall, 22% of patients received a prescription for at least one weight loss drug in the past 2 years, including 18% who received a GLP-1 agonist approved for weight management. Conclusions This care-engaged obesity cohort was characterized by high representation of women and socially vulnerable populations, substantial cardiometabolic screening gaps, and broad adoption of GLP-1 agonists.

Abstract Background: Randomized trials show substantial weight loss with semaglutide and tirzepatide under structured care, but little is known about whether patients in routine practice continue therapy, reach a maintenance dose, and have their weight measured. Objectives: To describe the first year after initiation of semaglutide or tirzepatide for obesity, including care patterns, maintenance-dose attainment, weight documentation, and total body weight loss (TBWL). Methods: This retrospective cohort study used Epic Cosmos, an electronic health record network of >350 US health systems, to identify adults with obesity and without diabetes who initiated injectable semaglutide or tirzepatide in 2024. Outcomes over 12 months included prescribing persistence, discontinuation, switching, add-on therapy, and reinitiation; attainment of Food and Drug Administration (FDA)-labeled maintenance doses; availability of follow-up weight; and TBWL across progressively restricted populations. Results: Among 743,153 adults (60.1% semaglutide; mean age, 48.5 years; 72.5% female), 12-month prescribing persistence was 29.9% for semaglutide and 35.9% for tirzepatide. FDA-labeled maintenance-dose attainment was 28.3% and 55.0%, respectively, and only 8.8% and 16.4% remained prescribing persistent at a maintenance dose with a recorded weight at 12 months. About half of initiators lacked a 12-month weight. Among all initiators, [&ge;]5% TBWL was documented in 25.6% (semaglutide) and 30.4% (tirzepatide), rising to 51.9% and 61.9% among those with recorded weight, 66.1% and 79.5% among those also prescribing persistent, and 82.9% and 87.3% among those further at a maintenance dose. Conclusions: In routine practice, most patients initiating semaglutide or tirzepatide did not remain on therapy, reach a maintenance dose, and have weight documented through the first year. Documented weight loss was greatest among those completing each step of care, suggesting continuation, dose escalation, and monitoring as targets for improvement.