Obesity and type 2 diabetes mellitus (T2DM) are among the most urgent global public health challenges, yet differ markedly in recognition and management across medical, social, infrastructure, and policy domains. T2DM is supported by clear diagnostic criteria, defined treatment targets, and broad acceptance as a chronic disease. In contrast, obesity is assessed using imprecise metrics like body mass index, lacks standardized treatment goals, and is often misunderstood as a lifestyle issue rather than a chronic, relapsing disease. This misconception contributes to stigma, discrimination, and unrealistic patient expectations. T2DM receives substantial research funding, comprehensive clinical guidelines, and structured medical education, with strong support from large professional societies and multidisciplinary care models. Obesity care remains underfunded, inconsistently delivered, and underrepresented in medical training. Public health and policy efforts strongly favor T2DM, providing coordinated programs, insurance coverage, and regulatory oversight. Conversely, obesity is marginalized, with limited policy influence and a largely unregulated commercial weight-loss industry. Bridging these disparities requires adopting lessons from T2DM management—such as evidence-based guidelines, improved provider training, expanded insurance coverage, and public health strategies—to enhance obesity care and recognize it as a chronic disease requiring long-term, structured management.
Background Although some studies suggest a positive association between ultra-processed food (UPF) intake and type 2 diabetes mellitus (T2DM), little is known about the exact shape and risks associated with different units (percentage of g/day, absolute g/day, serving/day) of UPF intake and whether the association is independent of diet quality, total energy intake, and body mass index (BMI).
Methods Prospective studies published through January 2024 were identified by searching PubMed, Embase, and Web of Science. Summary relative risks (RRs) and 95% confidence intervals (CIs) were estimated using random-effects models. A nonlinear dose-response meta-analysis was conducted using restricted cubic spline analysis.
Results After screening 569 publications, a total of 12 prospective cohort studies were included. Comparing the highest vs. lowest categories of intake, summary RR for T2DM risk was 1.48 (95% CI, 1.36 to 1.61). Higher summary RRs were observed among studies from Europe and North America. Among individual UPF subgroups, processed meats (summary RR, 1.34; 95% CI, 1.16 to 1.54) were positively associated, whereas ultra-processed cereals and breads (0.98; 95% CI, 0.97 to 0.99) and packaged savory snacks (0.92; 95% CI, 0.88 to 0.95) were inversely associated. The summary RRs associated with every 10% (of g/day), 100-g/day, and 1-serving/day increase in UPF intake were 1.14 (95% CI, 1.11 to 1.17), 1.05 (95% CI, 1.03 to 1.06), and 1.04 (95% CI, 1.03 to 1.05), respectively. The dose-response curve for absolute g/d intake suggested nonlinearity, showing a steeper risk increase approximately at >300 g/day. The associations persisted after adjustment for diet quality, energy intake, or BMI.
Conclusion Our data suggest that UPF intake increases diabetes risk, with a potential threshold effect at 300 g/day.
Background This study aimed to assess the efficacy of an initial combination therapy of statin and ezetimibe compared with statin monotherapy on major cardiovascular outcomes in individuals with diabetes.
Methods In this population-based cohort study using National Health Insurance Service data (2010–2020), we included adults with diabetes who had not previously used any lipid-lowering medications. Those initiating statin monotherapy were matched 1:1 using propensity scores with patients starting combination therapy with a lower-potency statin and ezetimibe. This matching process resulted in 21,458 individuals in the primary prevention cohort and 10,094 in the secondary prevention cohort, respectively. The primary endpoint was a composite of myocardial infarction, stroke, and cardiovascular death. Hospitalizations for heart failure, angina, and all-cause mortality were analyzed. The impact of ezetimibe maintenance on the primary endpoint was analyzed, and other hospitalizations were categorized as adverse events.
Results Compared with statin monotherapy, statin-ezetimibe combination significantly reduced the incidence of the primary endpoint (4.85 vs. 3.25 per 1,000 person-years: hazard ratio [HR], 0.67; 95% confidence interval [CI], 0.56 to 0.81 in the primary cohort; and 19.5 vs. 15.7 per 1,000 person-years: HR, 0.80; 95% CI, 0.70 to 0.91 in the secondary cohort) and myocardial infarction (HR, 0.64; 95% CI, 0.46 to 0.82 in the primary cohort; and HR, 0.73; 95% CI, 0.60 to 0.89 in the secondary cohort). A longer maintenance period of ezetimibe was significantly related to better efficacy in the composite cardiovascular outcomes. High-intensity statin monotherapy was associated with an elevated risk of liver, muscle, and diabetes-related hospitalization in the primary prevention cohort.
Conclusion Initial therapy with a statin-ezetimibe combination is associated with a reduced risk of cardiovascular events and fewer adverse events compared to statin monotherapy in individuals with diabetes, over a mean follow-up of 5.5 years (up to 9 years).
Background Diabetes often leads to microvascular complications, including nephropathy, neuropathy, and retinopathy. Understanding the impact of early-life factors like birth weight and modifiable behaviors such as cardiovascular health (CVH) is essential for preventing these complications.
Methods We included 11,515 participants with diabetes but without microvascular complications at baseline from the UK Biobank Study. CVH was evaluated using the Life’s Essential 8 score. Independent and joint associations of birth weight and CVH with microvascular complications were analyzed using Cox proportional hazard models. Two-sample Mendelian randomization (MR) analyses estimated unconfounded associations between birth weight and microvascular complications.
Results Over a median follow-up of 13.1 years, 3,010 microvascular complications occurred. Compared with normal birth weight (2.5–4.0 kg), low birth weight (LBW; <2.5 kg) was associated with 15% higher risk of diabetic nephropathy (hazard ratio [HR], 1.15; 95% confidence interval [CI], 1.01 to 1.31), but not with neuropathy and retinopathy. High birth weight (>4.0 kg) was not associated with the risk of diabetic microvascular complications. MR analysis confirmed the association between LBW and nephropathy. Adherence to high CVH was associated with a reduced risk of microvascular complications compared to low CVH, regardless of birth weight. The HRs were 0.70 (95% CI, 0.59 to 0.84) for the LBW group and 0.74 (95% CI, 0.68 to 0.80) for the group with birth weight ≥2.5 kg (P for interaction=0.69).
Conclusion LBW was an independent risk factor for nephropathy among diabetic patients. However, the detrimental effects of LBW might be mitigated by improvement in CVH.
Background Interleukin 33 (IL33) drives liver fibrosis, and individuals with type 2 diabetes mellitus are more likely advanced to liver fibrosis. However, the role of IL33 in diabetic liver fibrosis remains unclear, prompting our investigation.
Methods We developed a diabetes model in wild-type, IL33−/−, and suppression of tumorigenicity 2 (ST2−/−, IL33 receptor) mice. Furthermore, wild-type diabetic mice were injected with IL33 neutralizing antibody (αIL33). We also co-cultured human liver endothelial cells and human hepatic stellate cells to identify the role of IL33 in high palmitic acid and high glucose conditions.
Results Hepatic collagen deposition was increased in diabetic mice, which was alleviated by IL33 knockout, ST2 knockout, or administration of αIL33. Also, αIL33 treatment blunted liver sinusoidal endothelial cell (LSEC) dysfunction and inflammation during diabetic liver fibrosis progression. Recombinant IL33 (rIL33) treatment aggravated autophagy disruption in the presence of palm acid and high glucose in LSECs, which was blunted by autophagy agonist rapamycin administration and ERK/MAPK inhibitor PD98059 treatment. Hepatic stellate cell line LX-2 co-cultured with rIL33-pretreated LSECs displayed augmented activation, which was also attenuated by rapamycin or PD98059 pretreated.
Conclusion IL33 drives LSEC dysfunction and promotes diabetic hepatic fibrosis, thus a potential therapeutic target for diabetic liver fibrosis.
Background The prevalence of type 2 diabetes mellitus (T2DM) increases with age, and cellular senescence of pancreatic β-cells plays a key role in T2DM pathogenesis. As canagliflozin and acarbose have been shown to increase lifespan in mice, we investigated the effect of sodium-glucose cotransporter 2 (SGLT2) inhibitor, α-glucosidase inhibitor or both on the cellular senescence of β-cells in a T2DM mouse model.
Methods Enavogliflozin (0.3 mg/kg), acarbose (10 mg/kg), or vehicle was orally administered daily to db/db mice for 6 weeks. The levels of senescence markers (p16, p21, and p53) in the pancreas and kidney were measured through real-time polymerase chain reaction (PCR), immunofluorescence staining, and Western blot. In an in vitro analysis, isolated pancreatic islets were exposed to H2O2 to induce cellular senescence, then treated with β-hydroxybutyrate (β-HB), and subsequently assessed for levels of senescent markers.
Results Enavogliflozin alone or combined with acarbose effectively lowered blood glucose levels in db/db mice. The combined treatment resulted in the greatest increase in β-cell function calculated using insulinogenic index and homeostasis model assessment of β-cell function compared to the vehicle. Additionally, the combined treatment significantly reversed the increase in p16, with a similar trend observed in p21 and p53 in the islets. Treatment increased circulating β-HB and in vitro analysis suggested the activation of nuclear factor erythroid 2-related factor 2 (Nrf2) by β-HB in reducing senescence in the islets.
Conclusion The combined administration of enavogliflozin and acarbose significantly reduced blood glucose, improved β-cell function, and reduced senescent β-cells in db/db mice. This combination therapy holds potential as a senotherapeutic strategy for managing T2DM.
Background In this study, we aimed to determine the metabolic characteristics and changes in the early stages of young-onset type 2 diabetes mellitus (YOD) in Koreans.
Methods From the Anam Diabetes Observational Study cohort (2017–2023), the characteristics of newly diagnosed YOD (<40 years of age, n=39) and later-onset (≥40 years of age) type 2 diabetes mellitus (LOD, n=178) were compared at diagnosis and 1 year later. All participants underwent an oral glucose tolerance test at diagnosis and annually thereafter. β-Cell function was determined using the disposition index (DI), calculated as the insulinogenic index×Matsuda insulin sensitivity index (ISI). Insulin sensitivity was determined using ISI and homeostasis model assessment of insulin resistance (HOMA2-IR).
Results Mean (±standard deviation) age of individuals with YOD was 29.8±6.4 years, and 76.9% were male. YOD patients had higher body mass index (29.8 kg/m2 vs. 27.2 kg/m2, P=0.020), fat mass (30.5 kg vs. 24.1 kg, P=0.011), fatty liver index (65.4 vs. 49.2, P=0.005), and glycosylated hemoglobin (HbA1c) level at diagnosis (9.3% vs. 7.7%, P<0.001) compared with LOD patients. YOD patients exhibited lower insulin sensitivity (ISI: 2.79 vs. 3.26, P=0.008; HOMA2-IR: 2.72 vs. 1.83, P<0.001) and β-cell function (DI) at diagnosis (0.41 vs. 0.72, P=0.003) than LOD patients. Following 1 year of treatment, DI improved by 94% in YOD along with improvement in HbA1c; however, it was still significantly lower than that of LOD (0.64 vs. 0.90, P=0.017).
Conclusion Individuals with YOD have unfavorable metabolic characteristics, substantially reduced insulin sensitivity, and decompensated β-cell function at disease onset, which persist even after treatment.
Background Remnant cholesterol (remnant-C) has been linked to the risk of various vascular diseases, but the association between remnant-C and end-stage renal disease (ESRD) in patients with type 2 diabetes mellitus (T2DM) remains unclear.
Methods Using a nationwide cohort, a total of 2,537,149 patients with T2DM without ESRD, who had participated in the national health screening in 2009, were enrolled and followed up until 2020. Low-density lipoprotein cholesterol (LDL-C) levels were assessed by the Martin-Hopkins method, and remnant-C was calculated as total cholesterol–LDL-C–high-density lipoprotein cholesterol.
Results During a median follow-up period of 10.3 years, 26,246 patients with T2DM (1.03%) developed ESRD. Participants in the upper quartile of remnant-C had a higher risk of ESRD, with hazard ratios of 1.12 (95% confidence interval [CI], 1.08 to 1.17), 1.20 (95% CI, 1.15 to 1.24), and 1.33 (95% CI, 1.26 to 1.41) in the second, third, and fourth quartile, compared with the lowest quartile, in multivariable-adjusted analyses. The positive association between remnant-C and ESRD remained consistent, irrespective of age, sex, presence of pre-existing comorbidities, and use of anti-dyslipidemic medications. The increased risk of ESRD was more pronounced in high-risk subgroups, including those with hypertension, chronic kidney disease, obesity, and a longer duration of diabetes.
Conclusion These findings suggest that remnant-C profiles in T2DM have a predictive role for future progression of ESRD, independent of traditional risk factors for renal dysfunction.
Background The rising global incidence of type 2 diabetes mellitus (T2DM) underscores the need for predictive models that enhance early detection and prevention across diverse populations. This study aimed to identify predictors of incident T2DM within a Han Chinese population, assess their impact across various age and sex demographics, and explore their applicability to European populations.
Methods Using data from about 65,000 participants in the Taiwan Biobank (TWB), we developed a predictive model, achieving an area under the receiver operating characteristic curve of 90.58%. Key predictors were identified through LASSO regression within the TWB cohort and validated using over 4 million records from Taiwan’s Adult Preventive Healthcare Services (APHS) program and the UK Biobank (UKB).
Results Our analysis highlighted 13 significant predictors, including established factors like glycosylated hemoglobin (HbA1c) and blood glucose levels, and less conventionally considered variables such as peak expiratory flow. Notable differences in the effects of HbA1c levels and polygenic risk scores between the TWB and UKB cohorts were observed. Additionally, age and sex-specific impacts of these predictors, detailed through APHS data, revealed significant variances; for instance, waist circumference and diagnosed mixed hyperlipidemia showed greater impacts in younger females than in males, while effects remained uniform across male age groups.
Conclusion Our findings offer novel insights into the diagnosis and management of diabetes for the Han Chinese and potentially for broader East Asian populations, highlighting the importance of ethnic and demographic diversity in developing predictive models for early detection and personalized intervention strategies.
Diabetic kidney disease (DKD) is a leading cause of end-stage kidney disease and significantly increases cardiovascular risk and mortality. Despite conventional therapies, including renin-angiotensin-aldosterone system inhibitors, substantial residual risk remains. The emergence of sodium-glucose cotransporter 2 (SGLT2) inhibitors and glucagon-like peptide-1 (GLP-1) receptor agonists has reshaped DKD management. Beyond glycemic control, these agents provide distinct and complementary cardiorenal benefits through mechanisms such as hemodynamic modulation, anti-inflammatory effects, and metabolic adaptations. Landmark trials, including CREDENCE, DAPA-CKD, EMPA-KIDNEY, and FLOW, have demonstrated their efficacy in preserving kidney function and reducing adverse outcomes. SGLT2 inhibitors appear more effective in mitigating glomerular hyperfiltration and lowering heart failure risk, whereas GLP-1 receptor agonists are particularly beneficial in reducing albuminuria and atherosclerotic cardiovascular events. Although indirect comparisons suggest that SGLT2 inhibitors may offer greater protection against kidney function decline, direct head-to-head trials are lacking. Combination therapy holds promise, however further studies are needed to define optimal treatment strategies. This review synthesizes current evidence, evaluates comparative effectiveness, and outlines future directions in DKD management, emphasizing precision medicine approaches to enhance clinical outcomes. The integration of these therapies represents a paradigm shift in diabetes care, expanding treatment options for people with diabetes mellitus at risk of kidney failure.
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Special Issue “Molecular Therapeutics for Diabetes and Related Complications” Kota V. Ramana International Journal of Molecular Sciences.2025; 26(12): 5585. CrossRef
Extracellular vesicles (EVs) are lipid bilayer-enclosed particles carrying bioactive cargo, including nucleic acids, proteins, and lipids, facilitating intercellular and interorgan communication. In addition to traditional mediators such as hormones, metabolites, and cytokines, increasing evidence suggests that EVs are key modulators in various physiological and pathological processes, particularly influencing metabolic homeostasis and contributing to the progression of cardiometabolic diseases. This review provides an overview of the most recent insights into EV-mediated mechanisms involved in the pathogenesis of obesity, insulin resistance, diabetes mellitus, steatotic liver disease, atherosclerosis, and cardiovascular disease. EVs play a critical role in modulating insulin sensitivity, glucose homeostasis, systemic inflammation, and vascular health by transferring functional molecules to target cells. Understanding the EV-mediated network offers potential for identifying novel biomarkers and therapeutic targets, providing opportunities for EV-based interventions in cardiometabolic disease management. Although many challenges remain, this evolving field highlights the need for further research into EV biology and its translational applications in cardiovascular and metabolic health.
Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have emerged as blockbuster drugs for treating metabolic diseases. Glucagon-like peptide-1 (GLP-1) plays a pivotal role in glucose homeostasis by enhancing insulin secretion, suppressing glucagon release, delaying gastric emptying, and acting on the central nervous system to regulate satiation and satiety. This review summarizes the discovery of GLP-1 and the development of GLP-1RAs, with a particular focus on their central mechanisms of action. Human neuroimaging studies demonstrate that GLP-1RAs influence brain activity during food cognition, supporting a role in pre-ingestive satiation. Animal studies on hypothalamic feed-forward regulation of hunger suggest that cognitive hypothalamic mechanisms may also contribute to satiation control. We highlight the brain mechanisms of GLP-1RA-induced satiation and satiety, including cognitive impacts, with an emphasis on animal studies of hypothalamic glucagon-like peptide-1 receptor (GLP-1R) and GLP-1R-expressing neurons. Actions in non-hypothalamic regions are also discussed. Additionally, we review emerging combination drugs and oral GLP-1RA formulations aimed at improving efficacy and patient adherence. In conclusion, the dorsomedial hypothalamus (DMH)—a key GLP-1RA target—mediates pre-ingestive cognitive satiation, while other hypothalamic GLP-1R neurons regulate diverse aspects of feeding behavior, offering potential therapeutic targets for obesity treatment.
Background Type 2 diabetes mellitus (T2DM) requires stringent glycemic control from an early stage to prevent complications. The most effective treatment regimen for early T2DM remains unclear. The study aimed to compare the efficacy and safety of monotherapies and combination therapies for early T2DM.
Methods A systematic review and network meta-analysis were conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Randomized controlled trials focused on glycemic control, body weight, and adverse events were included. The primary outcomes were changes in glycosylated hemoglobin (HbA1c) and odds of achieving the target HbA1c after 6 months.
Results All combination therapies were more effective than monotherapy. Metformin+glucagon-like peptide-1 receptor agonists (GLP-1RA) (weighted mean difference [WMD] –1.50%; 95% confidence interval [CI] –2.04 to –0.96) and metformin+dipeptidyl peptidase-4 inhibitors (WMD –1.46%; 95% CI, –1.96 to –0.95) were the most effective for change in HbA1c. GLP-1RA and sodium- glucose cotransporter-2 inhibitors led to weight reduction. Apart from the increased risk of hypoglycemia with sulfonylureas, no significant differences in adverse events were observed across regimens.
Conclusion Early combination therapy effectively improved glycemic control in patients with early T2DM without significantly increasing adverse risks. Future studies should explore new combinations, including potent GLP-1RA.
Background This study aims to identify the status of continuous glucose monitoring (CGM) use among individuals with type 1 diabetes mellitus (T1DM) in South Korea and to investigate whether age-related disparities exist.
Methods Individuals with T1DM receiving intensive insulin therapy were identified from the Korean National Health Insurance Cohort (2019–2022). Characteristics of CGM users and non-users were compared, and the prescription rates of CGM and sensor- augmented pump (SAP) or automated insulin delivery (AID) systems according to age groups (<19, 19–39, 40–59, and ≥60 years) were analyzed using chi-square tests. Glycosylated hemoglobin (HbA1c) levels and coefficients of variation (CV) among CGM users were also examined.
Results Among the 56,908 individuals with T1DM, 10,822 (19.0%) used CGM at least once, and 6,073 (10.7%) used CGM continuously. Only 241 (0.4%) individuals utilized either SAP or AID systems. CGM users were younger than non-users. The continuous prescription rate of CGM was highest among individuals aged <19 years (37.0%), followed by those aged 19–39 years (15.8%), 40–59 years (10.7%), and ≥60 years (3.9%) (P<0.001 for between-group differences). Among CGM users, HbA1c levels decreased from 8.7%±2.4% at baseline to 7.2%±1.2% at 24 months, and CV decreased from 36.6%±11.9% at 3 months to 34.1%±12.7% at 24 months.
Conclusion Despite national reimbursement for CGM devices, the prescription rates of CGM remain low, particularly among older adults. Given the improvements in HbA1c and CV following CGM initiation, more efforts are needed to increase CGM utilization and reduce age-related disparities.
Background Previous research has linked solitary living to various adverse health outcomes, but its association with diabetic complications among individuals with type 2 diabetes mellitus (T2DM) remains underexplored. We examined the risk of endstage kidney disease (ESKD) in individuals with diabetes living alone (IDLA).
Methods This population-based cohort study used the National Health Information Database of Korea, which included 2,432,613 adults with T2DM. Household status was determined based on the number of registered family members. IDLA was defined as continuously living alone for 5 years or more. A multivariable Cox proportional hazards model was used to evaluate the association between living alone and the risk of developing ESKD.
Results During a median follow-up of 6.0 years, 26,691 participants developed ESKD, with a higher incidence observed in the IDLA group than in the non-IDLA group. After adjusting for confounding variables, the hazard ratio for ESKD in the IDLA group was 1.10 (95% confidence interval, 1.06 to 1.14). The risk of ESKD was particularly elevated in younger individuals, those without underlying chronic kidney disease, with longer durations of living alone, and with low household income. Adherence to favorable lifestyle behaviors (no smoking, no alcohol consumption, and engaging in regular exercise) was associated with a significantly lower risk of ESKD, with a more pronounced effect in the IDLA group.
Conclusion Living alone was associated with a higher risk of ESKD in individuals with T2DM. Tailored medical interventions and social support for IDLA are crucial for the prevention of diabetic complications.