Young-onset type 2 diabetes mellitus - implications for morbidity and mortality

Type 2 diabetes disease and management patterns across a large, diverse healthcare system: Issues and opportunities for guideline-directed therapies

BACKGROUND

The prevalence, chronicity and clinical impact of type 2 diabetes (T2D) defines this disease state as a critical determinant in morbidity and mortality, as encountered by individuals, health care systems, and public health in general. The need to understand and optimize T2D identification and management is now further heightened by the advent of medications with established cardiovascular (CV) and kidney benefits in such patients, namely sodium-glucose cotransporter 2 inhibitors (SGLT2i) and glucagon-like peptide 1 receptor agonists (GLP-1 RA). Prescription rates for these agents have remained low despite guidelines incorporating and emphasizing their use. Better understanding T2D disease and management patterns, including percentage of patients meeting guideline indications, is necessary to address undertreatment, improve patient management, and enable better strategies. We evaluated such issues, including eligibility for and utilization of SGLT2i and GLP-1 RA, in a large health system caring for over 1.5 million patients annually.

METHODS

The electronic health record (EHR) at a large health network in the Northeastern United States was queried to identify patients 18 years of age or older with T2D and at least 1 hemoglobin A1c (HbA1c) between January 1, 2020 and January 1, 2023, examining those with T2D and 1) atherosclerotic CV disease (ASCVD), 2) an estimated 10-year ASCVD risk score ≥ 10% without known ASCVD, 3) heart failure (HF), and/or 4) chronic kidney disease (CKD) based on EHR listed comorbidities. Demographics, medications, comorbidities, and indications for SGLT2i and/or GLP-1 RA therapy were assessed by 1 or more of the 4 indications above as outlined in society guidelines.

RESULTS

Of the 147,338 patients who met inclusion criteria, 47% were female, 28% were non-white, and 14% with a non-English language preference. Of those, 121,508 (83%) had an indication for either SGLT2i or GLP-1 RA based on guideline recommendations: 17% were prescribed an SGLT2i, 22% were prescribed GLP-1 RA, and 6% of patients were prescribed both medications. Only 33% of all eligible patients were prescribed therapy. Of patients eligible for either an SGLT2i or GLP-1 RA therapy not currently receiving either therapy, 49% had 10-year ASCVD risk ≥ 10% without known ASCVD, 42% had ASCVD, 52% had CKD, and 14% had HF.

CONCLUSIONS

More than 4 out of 5 patients with T2D had a CV or kidney indication for either SGLT2i or GLP-1 RA. However, uptake of SGLT2i/GLP-1 RA in these high-risk populations remains low (just 32%) across this health network. Future studies are needed to identify better strategies to overcome provider, patient, and system-level barriers to the uptake and dissemination of guideline-concordant T2D therapies.

Rising tide: the growing global burden and inequalities of early-onset type 2 diabetes among youths aged 15-34 years (1990-2021)

BACKGROUND

Type 2 diabetes mellitus (T2DM) is increasingly affecting people aged 15-34, posing a serious public health challenge due to its faster progression and higher complication risks. This study examines the global, regional, and national burden of early-onset T2DM from 1990 to 2021, emphasizing trends and disparities across different sociodemographic contexts.

METHODS

Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, we analyzed incidence, prevalence, mortality, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) in people aged 15-34. Stratifications included age, sex, and the Socio-Demographic Index (SDI). Joinpoint regression significant temporal shifts, and decomposition analysis attributed changes in T2DM burden to factors such as prevalence, population growth, aging, and case fatality rates. Inequality was assessed with the Slope Index of Inequality and Concentration Index.

RESULTS

From 1990 to 2021, early-onset T2DM incidence and prevalence rose significantly worldwide, especially in high-SDI regions. Although global mortality and DALYs appeared relatively stable, low-SDI regions showed worrisome increases. Rising T2DM prevalence was the principal driver of mortality and DALYs, notably in low- and middle-SDI regions. Inequality analyses indicated widening disparities, with higher incidence and prevalence in high-SDI countries and more severe outcomes in low-SDI countries.

CONCLUSIONS

The global burden of early-onset T2DM among youths is escalating, with significant disparities across different sociodemographic levels. The findings underscore the urgent need for targeted public health interventions. Future research should focus on the underlying factors driving these trends and explore strategies for effective prevention and management of early-onset T2DM.

Cardiovascular abnormalities already occurred in newly-diagnosed patients with early-onset type 2 diabetes

BACKGROUND

The prevalence of early-onset type 2 diabetes (EOD) is rapidly increasing. This study intends to screen for early cardiovascular abnormalities in patients newly diagnosed with EOD and evaluate the cardiovascular risk across cluster phenotypes.

METHOD

A total of 400 patients ≤ 40 years old with newly diagnosed type 2 diabetes were enrolled from the START cohort (the Study of The newly diAgnosed eaRly onset diabeTes). Cluster classification was performed using the K-means method based on age, BMI, HbA1c, HOMA2-β, HOMA2-IR, and GAD antibodies. Echocardiography and carotid ultrasound were performed within 3 months of diabetes diagnosis. Carotid ultrasound abnormalities included intimal thickening and plaque formation, while echocardiography assessed changes in cardiac structure and systolic/diastolic function. Cluster-specific partitioned polygenic scores (pPS) were used to validate our findings from a genetic perspective.

RESULT

Carotid artery abnormalities were detected in 26.3% of patients, and echocardiography abnormalities were observed in 20.0%. Patients with severe insulin resistant diabetes (SIRD) had the highest incidence of carotid artery abnormality (40.0%). After adjusting for relevant risk factors, fasting C-peptide levels were significantly associated with a 1.247-fold increase in the risk of carotid artery abnormalities. Left atrial enlargement was more prevalent in the SIRD (16.7%) and mild obesity-related diabetes (MOD) (18.5%) classifications. A high proportion of patients with SIRD had abnormal left ventricular geometry (36.1%). Increases in BMI, fasting C-peptide level and HOMA2IR were accompanied by a further increase in left atrial enlargement risk by 1.136-, 1.781- and 1.687-fold respectively. The pPS for lipodystrophy was higher in the EOD group with plaque formation, and showed a significant linear correlation with the ratio of the left atrial anteroposterior diameter to body surface area (LAAP/BSA) (R = 0.344, p < 0.001).

CONCLUSION

Heart and carotid artery abnormalities are common in patients with early-onset T2DM at the time of diagnosis. Patients with obesity and insulin resistance are at higher risk for cardiovascular abnormalities. Cluster classification based on clinical characteristics enables more accurate identification of patients at increased risk of cardiovascular complications at an early stage.

Using normalisation process theory to understand implementation of effective early-onset type 2 diabetes treatment and care within England: a qualitative study

BACKGROUND

Despite increasing prevalence, early-onset type 2 diabetes (EOT2D) has received little clinical and qualitative research attention within England. This qualitative study aimed to explore and understand the unmet needs of people living with early-onset type 2 diabetes (PEOT2D) and their diabetes care within England.

METHODS

Using semi-structured interviews, data was collected, transcribed and analysed from 25 PEOT2D and 25 healthcare professionals (HCPs). Taking an abductive approach, data for both cohorts were analysed and interpreted according to four constructs of Normalisation Process Theory (NPT): coherence (sense-making), cognitive participation (engagement), collective action (enactment) and reflexive monitoring (formal and informal appraisal).

RESULTS

Our findings revealed several unmet needs in current treatment and care for PEOT2D. The main unmet need was access to specialist care. Having GP (general practitioner) practices as their main caregivers presented a significant barrier to this population successfully carrying out their diabetes self-care. HCPs in specialist roles expressed similar views and were keen to see PEOT2D receive access to holistic and specialist care via a multidisciplinary team. Data interpretation according to the four constructs of NPT found that implementation of this approach would involve fostering an environment of support that allowed HCPs across the primary and secondary interface to do the following: (1) provide consultations incorporating person-centred care, shared decision-making, and non-judgemental and non-stigmatising behaviours and (2) work in an integrated and synchronous manner using streamlined referrals, interprofessional collaborations and team-based learning. Provision of tailored financial, human (additional staffing) and learning resources was found to be integral to allow creation of tailored multidisciplinary teams, and individual and collective skill enhancement of both specialist and primary care providers.

CONCLUSION

Although both PEOT2D and specialist care providers are keen for young adults with EOT2D to receive access to specialist and holistic care, there are several resource barriers that must be addressed to allow implementation of their desired approach to treatment and care. Further qualitative research with primary care providers (for example, GPs and practice nurses) involved in EOT2D care is needed to understand if (and how) their views and experiences differ from those providing specialist care.

Exploring the shared genetic landscape of diabetes and cardiovascular disease: findings and future implications

Diabetes is a rapidly growing global health concern projected to affect one in eight adults by 2045, which translates to roughly 783 million people. The profound metabolic alterations often present in dysglycaemia significantly increase the risk of cardiovascular complications. While genetic susceptibility plays a crucial role in diabetes and its vascular complications, identifying genes and molecular mechanisms that influence both diseases simultaneously has proven challenging. A key reason for this challenge is the pathophysiological heterogeneity underlying these diseases, with multiple processes contributing to different forms of diabetes and specific cardiovascular complications. This molecular heterogeneity has limited the effectiveness of large-scale genome-wide association studies (GWAS) in identifying shared underlying mechanisms. Additionally, our limited knowledge of the causal genes, cell types and disease-relevant states through which GWAS signals operate has hindered the discovery of common molecular pathways. This review highlights recent advances in genetic epidemiology, including studies of causal associations that have uncovered genetic and molecular factors influencing both dysglycaemia and cardiovascular complications. We explore how disease subtyping approaches can be critical in pinpointing the unique molecular signatures underlying both diabetes and cardiovascular complications. Finally, we address critical research gaps and future opportunities to advance our understanding of both diseases and translate these discoveries into tangible benefits for patient care and population health.

Association between waist-to-hip ratio and testosterone in Chinese men with young-onset type 2 diabetes: a cross-sectional study

BACKGROUND

Low testosterone levels is associated with higher cardiovascular risk in men with diabetes. However, there are few studies on testosterone levels and the factors affecting them in patients with young-onset diabetes (YOD). The objective of this study was to investigate the correlation between waist-to-hip ratio (WHR) and testosterone levels in men diagnosed with YOD.

RESEARCH DESIGN AND METHODS

This cross-sectional study involved 547 male patients with type 2 diabetes mellitus (T2DM) from the Endocrinology Department of the Affiliated Hospital of Jining Medical University. The participants were divided into two groups: a young-onset diabetes (YOD) group and a late-onset diabetes (LOD) group. Anthropometric measurements, including height, weight, waist circumference, and hip circumference, were recorded. Additionally, fasting blood samples were collected to assess various parameters, such as sex hormone levels and lipid profiles. The association between WHR and testosterone levels was analyzed by univariate linear regression and multivariable linear regression analysis.

RESULTS

Five hundred forty-seven patients with type 2 diabetes and aged 50.3 ± 12.1 years were enrolled in the study. One hundred ninety-three patients were assigned to the YOD group based on a diagnosis age of 40 years or younger, while the remaining 354 patients were assigned to the LOD group. The testosterone was significantly lower in the YOD group compare to the LOD group (P = 0.049), and the WHR had an independent effect on testosterone in men with the YOD group (β=-4.67, P = 0.0251), but there was no evidence of such an association in the LOD group (β =-1.13, P = 0.4608).

CONCLUSIONS

According to our results, male patients with YOD exhibited lower testosterone levels compared to those with LOD. Furthermore, their testosterone levels were significantly negatively correlated with WHR. These findings indicate that it is more necessary to screen for testosterone in obese patients with YOD and that improving obesity, especially abdominal obesity, may help to interrupt the vicious cycle of low testosterone-obesity-insulin resistance-hyperglycemia-low testosterone.

The research progress and future directions in the pathophysiological mechanisms of type 2 diabetes mellitus from the perspective of precision medicine

Type 2 diabetes mellitus (T2DM) is a complex metabolic disorder characterized by pathophysiological mechanisms such as insulin resistance and β-cell dysfunction. Recent advancements in T2DM research have unveiled intricate multi-level regulatory networks and contributing factors underlying this disease. The emergence of precision medicine has introduced new perspectives and methodologies for understanding T2DM pathophysiology. A recent study found that personalized treatment based on genetic, metabolic, and microbiome data can improve the management of T2DM by more than 30%. This perspective aims to summarize the progress in T2DM pathophysiological research from the past 5 years and to outline potential directions for future studies within the framework of precision medicine. T2DM develops through the interplay of factors such as gut microbiota, genetic and epigenetic modifications, metabolic processes, mitophagy, NK cell activity, and environmental influences. Future research should focus on understanding insulin resistance, β-cell dysfunction, interactions between gut microbiota and their metabolites, and the regulatory roles of miRNA and genes. By leveraging artificial intelligence and integrating data from genomics, epigenomics, metabolomics, and microbiomics, researchers can gain deeper insights into the pathophysiological mechanisms and heterogeneity of T2DM. Additionally, exploring the combined effects and interactions of these factors may pave the way for more effective prevention strategies and personalized treatments for T2DM.

Incidence and Risk Factors of Diagnosed Young-Adult-Onset Type 2 Diabetes in the U.S.: The National Health Interview Survey 2016-2022

OBJECTIVE

To estimate the incidence and identify risk factors for diagnosed type 2 diabetes (T2D) among young U.S. adults.

RESEARCH DESIGN AND METHODS

We analyzed 142,884 adults aged 18-79 years with self-reported diabetes type from the cross-sectional National Health Interview Survey in 2016-2022, representing the noninstitutionalized U.S. civilian population. Incidence of diagnosed T2D was calculated for three age groups: young-adult onset (18-44 years), middle-age onset (45-64 years), and older-adult onset (65-79 years); the latter two groups were included to highlight the distinct risk factor profile of young-adult-onset T2D. Multivariable logistic regressions were used to identify risk factors for young-adult-onset T2D.

RESULTS

The estimated incidence of diagnosed young-adult-onset T2D was 3.0 per 1,000 adults (95% CI 2.6-3.5). Minority groups, socioeconomically disadvantaged individuals, and people with cardiometabolic diseases or psychological conditions had a higher incidence of diagnosed young-adult-onset T2D compared with their counterparts. Lipid-lowering medication use (adjusted odds ratio [aOR] 13.15, 95% CI 8.85-19.55), antihypertensive medication use (aOR 11.89, 95% CI 7.97-17.73), and obesity (BMI ≥30 vs. <25 kg/m2, aOR 10.89, 95% CI 6.69-17.7) were the strongest risk factors for young-adult-onset T2D; these risk factors, along with hypertension, hyperlipidemia, and coronary heart disease, were more strongly associated with young-adult-onset T2D compared with later-onset T2D, with up to 4.5 times higher aORs.

CONCLUSIONS

This study quantified the incidence of diagnosed young-adult-onset T2D in U.S. adults and identified its distinct risk factor profile. Targeted prevention strategies for young-adult-onset T2D are needed for minority and socioeconomically disadvantaged people and those with cardiometabolic diseases.

Correlation Between Triglyceride-Glucose Index and Microvascular Complications in Patients With Early- Onset of Type 2 Diabetes Mellitus

OBJECTIVE

This study aimed to explore the potential correlation between the triglyceride-glucose (TyG) index and diabetic nephropathy (DN) and diabetic retinopathy (DR) in patients with early-onset type 2 diabetes mellitus (T2DM).

DESIGN

This cross-sectional study statistically analysed TyG index levels across DN and DR stages in patients with early-onset and non-early-onset T2DM.

PATIENTS

A total of 1530 T2DM patients were enrolled between January 2017 and August 2023 at Tianjin Fourth Central Hospital in Tianjin.

MEASUREMENTS

Correlation analysis and logistic regression were used to examine the association between the TyG index and microvascular complications. Kaplan-Meier plots and Cox regression analyses were employed to evaluate the effects of the TyG index on DN incidence. TyG index's diagnostic ability for DN was explored using the area under the receiver operating characteristic curve.

RESULTS

In patients with early-onset T2DM, the TyG index gradually decreased with DR aggravation and gradually increased with DN aggravation, showing a negative correlation with DR and a positive correlation with DN in patients with early-onset T2DM; logistic regression analysis suggested that the TyG index was an independent risk factor for DN (OR = 1.623, 95% CI = 1.175-2.242). The Cox regression analysis and Kaplan-Meier plots suggested that higher TyG was associated with an earlier incidence of DN in patients with early-onset T2DM.

CONCLUSION

In patients with early-onset T2DM, the TyG index could be used to evaluate the risk of microvascular complications, with elevated TyG levels potentially indicating high risk of insulin- resistance related renal injury.

Truncated Arctangent Rank Minimization and Double-Strategy Neighborhood Constraint Graph Inference for Drug-Disease Association Prediction

Accurately identifying new therapeutic uses for drugs is essential to advancing pharmaceutical research and development. Graph inference techniques have shown great promise in predicting drug-disease associations, offering both high convergence accuracy and efficiency. However, most existing methods fail to sufficiently address the issue of numerous missing information in drug-disease association networks. Moreover, existing methods are often constrained by local or single-directional reasoning. To overcome these limitations, we propose a novel approach, truncated arctangent rank minimization and double-strategy neighborhood constraint graph inference (TARMDNGI), for drug-disease association prediction. First, we calculate Gaussian kernel and Laplace kernel similarities for both drugs and diseases, which are then integrated using nonlinear fusion techniques. We introduce a new matrix completion technique, referred to as TARM. TARM takes the adjacency matrix of drug-disease heterogeneous networks as the target matrix and enhances the robustness and formability of the edges of DDA networks by truncated arctangent rank minimization. Additionally, we propose a double-strategy neighborhood constrained graph inference method to predict drug-disease associations. This technique focuses on the neighboring nodes of drugs and diseases, filtering out potential noise from more distant nodes. Furthermore, the DNGI method employs both top-down and bottom-up strategies to infer associations using the entire drug-disease heterogeneous network. The synergy of the dual strategies can enhance the comprehensive processing of complex structures and cross-domain associations in heterogeneous graphs, ensuring that the rich information in the network is fully utilized. Experimental results consistently demonstrate that TARMDNGI outperforms state-of-the-art models across two drug-disease datasets, one lncRNA-disease dataset, and one microbe-disease dataset.

Advances in Oral Biomacromolecule Therapies for Metabolic Diseases

Metabolic diseases like obesity and diabetes are on the rise, and therapies with biomacromolecules (such as proteins, peptides, antibodies, and oligonucleotides) play a crucial role in their treatment. However, these drugs are traditionally injected. For patients with chronic diseases (e.g., metabolic diseases), long-term injections are accompanied by inconvenience and low compliance. Oral administration is preferred, but the delivery of biomacromolecules is challenging due to gastrointestinal barriers. In this article, we introduce the available biomacromolecule drugs for the treatment of metabolic diseases. The gastrointestinal barriers to oral drug delivery and strategies to overcome these barriers are also explored. We then discuss strategies for alleviating metabolic defects, including glucose metabolism, lipid metabolism, and energy metabolism, with oral biomacromolecules such as insulin, glucagon-like peptide-1 receptor agonists, proprotein convertase subtilisin/kexin type 9 inhibitors, fibroblast growth factor 21 analogues, and peptide YY analogues.

Incidence of early-onset type 2 diabetes and sociodemographic predictors of complications: A nationwide registry study

AIMS

Early-onset type 2 diabetes (T2DM) (18-45 years) is rising globally, yet complication incidence in this group remains unclear. We investigated the incidence of early-onset T2DM, the incidence of micro- and macrovascular complications, and how comorbidities (e.g., severe mental illness) and sociodemographic factors (e.g., education level) influence complication risk and timing in Denmark.

METHODS

Using nationwide registers, we followed 8,129,005 individuals from 1996 to 2020 to estimate the incidence rate (IR) of early-onset T2DM. 49,850 individuals with early-onset T2DM were followed to calculate IRs for microvascular (nephropathy, retinopathy) and macrovascular (cardiovascular disease, amputation) complications. Incidence rate ratios (IRRs) assessed associations between comorbidities, sociodemographic factors, and complications. Poisson regression models calculated IRs and IRRs.

RESULTS

From 1996 to 2020, the IR of early-onset T2DM more than doubled in men and tripled in women, with women dominating younger age groups. During follow-up (7.9-9.8 years), 37.6 % developed complications. Higher complication IRs were observed in men, those with sociodemographic disadvantages, and individuals with comorbidities. Early complications (≤5 years) were more common among the unemployed, single individuals, and those with comorbidities.

CONCLUSIONS

The rising IR of early-onset T2DM in younger women, and complications disproportionately affecting men and those with comorbidities or sociodemographic disadvantages, highlight the need for targeted interventions.

Ahmedabad declaration: A framework to combat growing epidemic of young-onset type 2 diabetes in Asia

AIM

Rising prevalence of Type 2 Diabetes (T2D) among young Asians has emerged as a public health crisis that threatens the long-term health, economic stability, and productivity of nations across Asia (1). Early-onset T2D poses unique challenges, including higher rates of undiagnosed cases, more aggressive disease progression, an increased risk of chronic complications and higher mortality (2). Hyperglycemia during the reproductive age especially among the female population can potentially have transgenerational impact through epigenetic changes.

METHODS

A comprehensive search was conducted on PubMed with a combination of relevant keywords. A preliminary draft prepared after review of literature was electronically circulated among a panel of 64 experts from various parts of the region and representatives of the participating organizations - Diabetes India (www.diabetesindia.org.in) and the Diabetes Asia Study Group (DASG, www.da-sg.org).

RESULTS

This Ahmedabad Declaration outlines the scale of the problem, its root causes, and a comprehensive action plan for Asian populations. The objectives of this declaration include raising awareness, addressing systemic barriers, and advocating for evidence-based policies and interventions, limited to people with T2D. Through collaborative efforts, we aim to mitigate the growing burden of diabetes in young Asians and secure a healthier future.

Global, regional and national burdens of chronic kidney disease due to T1DM and T2DM among adolescents and young adults aged 10-35 years from 1990-2021: A trend analysis based on the global burden of disease study 2021

BACKGROUNDS

Chronic kidney disease (CKD) is a major complication of diabetes, which is rising among adolescents and young adults worldwide, but data on the trends of these diseases are sparse. This study examined the burden of CKD due to type 1 diabetes (CKD-T1D) and type 2 diabetes (CKD-T2D) among those aged 10-35 from 1990 to 2021 on global, regional, and national levels.

METHODS

Using Global Burden of Disease 2021 data, joinpoint regression analysis and decomposition analysis were employed to identify significant changes in CKD-T1D and CKD-T2D trends, including incidence, prevalence, mortality, and disability-adjusted life years (DALYs).

RESULTS

Globally, CKD-T1D incidence rose until 2019 before declining, while CKD-T2D incidence declined initially, then increased after 2019. Males generally had higher values of all indicators, except for CKD-T1D prevalence, which was higher in females. Central Latin America saw the largest mortality increase, while Oceania had the highest mortality rates. Oceania countries reported the highest DALYs for both CKD types in 2021.

CONCLUSION

The burden of CKD-T1D and CKD-T2D showed a pandemic-related shift. Middle-SDI countries face high incidence and mortality, while high-SDI countries report lower mortality but higher prevalence. Public health interventions are especially needed in low and middle-SDI countries and island nations.

Cardiovascular and Respiratory Measures in Adults With Early-onset Type 2 Diabetes Mellitus Compared With Matched Controls

OBJECTIVES

The aim of the study was to compare cardiac and respiratory function at rest in participants with early-onset type 2 diabetes and a control group without diabetes, matched for age, sex, and body mass index (BMI).

METHODS

This study included 18 participants with early-onset type 2 diabetes (12 men and 6 women, age 34.9±6 years, diabetes duration 3.1±3.0 years) and 14 control participants without diabetes, matched for age, sex, and BMI (9 men and 5 women, age 32.9±5.2 years). Participants underwent resting echocardiography and pulmonary function tests. Fasting blood samples were analyzed for glycated hemoglobin, glucose, C-reactive protein, insulin, free fatty acids, and N-terminal pro-B-type natriuretic peptide.

RESULTS

Significant differences between groups were observed in left ventricular diastolic function at rest. Compared with controls, the group with early-onset type 2 diabetes had lower E/A (ratio between early [E] and late [A] ventricular filling velocity) (p=0.002), higher E/e' (representing left ventricular filling pressure) (p=0.017), lower e' (early myocardial relaxation velocity) (p<0.001), and lower diffusing capacity of the lung for carbon monoxide (p=0.003).

CONCLUSIONS

Subclinical left ventricular diastolic dysfunction and lower lung diffusing capacity were detected in participants with early-onset type 2 diabetes when compared with matched controls.

Plasma Proteomics of Diabetic Kidney Disease Among Asians With Younger-Onset Type 2 Diabetes

CONTEXT

Patients with younger onset of type 2 diabetes (YT2D) have increased risk for kidney failure compared to those with late onset. However, the mechanism of diabetic kidney disease (DKD) progression in this high-risk group is poorly understood.

OBJECTIVE

This work aimed to identify novel biomarkers and potential causal proteins associated with DKD progression in patients with YT2D.

METHODS

Among YT2D (T2D onset age <40 years), 144 DKD progressors (cases) were matched for T2D onset age, sex, and ethnicity with 292 nonprogressors (controls) and divided into discovery and validation sets. DKD progression was defined as decline of estimated glomerular filtration rate (eGFR) of 3 mL/min/1.73 m2 or greater or 40% decline in eGFR from baseline. A total of 1472 plasma proteins were measured through a multiplex immunoassay that uses a proximity extension assay technology. Multivariable logistic regression was used to identify proteins associated with DKD progression. Mendelian randomization (MR) was used to evaluate causal relationship between plasma proteins and DKD progression.

RESULTS

Forty-two plasma proteins were associated with DKD progression, independent of traditional cardiorenal risk factors, baseline eGFR, and urine albumin-to-creatinine ratio. The proteins identified were related to inflammatory and remodeling biological processes. Our findings suggest angiogenin as one of the top signals (odds ratio = 5.29; 95% CI, 2.39-11.73; P = 4.03 × 10-5). Furthermore, genetically determined plasma angiogenin level was associated with increased odds of DKD progression.

CONCLUSION

Large-scale proteomic analysis identified novel proteomic biomarkers for DKD progression in YT2D. Genetic evidence suggest a causal role of plasma angiogenin in DKD progression.

Cardiometabolic Aspects of Congenital Adrenal Hyperplasia

Treatment of classic congenital adrenal hyperplasia (CAH) is directed at replacing deficient hormones and reducing androgen excess. However, even in the era of early diagnosis and lifelong hormonal substitution, the presence of CAH is still associated with numerous complications and also with increased mortality. The aim of this article was to create an authoritative and balanced review concerning cardiometabolic risk in patients with CAH. The authors searched all major databases and scanned reference lists of all potentially eligible articles to find relevant articles. The risk was compared with that in other forms of adrenal insufficiency. The reviewed articles, most of which were published recently, provided conflicting results, which can be partially explained by differences in the inclusion criteria and treatment, small sample sizes, and gene-environment interactions. However, many studies showed that the presence of CAH is associated with an increased risk of weight gain, worsening of insulin sensitivity, high blood pressure, endothelial dysfunction, early atherosclerotic changes in the vascular wall, and left ventricular diastolic dysfunction. These complications were more consistently reported in patients with classic than nonclassic CAH and were in part related to hormonal and functional abnormalities associated with this disorder and/or to the impact of overtreatment and undertreatment. An analysis of available studies suggests that individuals with classic CAH are at increased cardiometabolic risk. Excess cardiovascular and metabolic morbidity is likely multifactorial, related to glucocorticoid overtreatment, imperfect adrenal hormone replacement therapy, androgen excess, and adrenomedullary failure. Cardiometabolic effects of new therapeutic approaches require future targeted studies.

Oxidative stress in diabetes mellitus and its complications: From pathophysiology to therapeutic strategies

ABSTRACT

Oxidative stress due to aberrant metabolism is considered as a crucial contributor to diabetes and its complications. Hyperglycemia and hyperlipemia boost excessive reactive oxygen species generation by elevated mitochondrial respiration, increased nicotinamide adenine dinucleotide phosphate oxidase activity, and enhanced pro-oxidative processes, including protein kinase C pathways, hexosamine, polyol, and advanced glycation endproducts, which exacerbate oxidative stress. Oxidative stress plays a significant role in the onset of diabetes and its associated complications by impairing insulin production, increasing insulin resistance, maintaining hyperglycemic memory, and inducing systemic inflammation. A more profound comprehension of the molecular processes that link oxidative stress to diabetes is crucial to new preventive and therapeutic strategies. Therefore, this review discusses the mechanisms underlying how oxidative stress contributes to diabetes mellitus and its complications. We also summarize the current approaches for prevention and treatment by targeting the oxidative stress pathways in diabetes.

Joint association of the inflammatory marker and cardiovascular-kidney-metabolic syndrome stages with all-cause and cardiovascular disease mortality: a national prospective study

BACKGROUND

Cardiovascular-kidney-metabolic (CKM) syndrome and systemic inflammation significantly contribute to mortality. However, the joint associations of CKM stages and systemic inflammation with all-cause and cardiovascular disease (CVD) mortality remain unclear. This study aimed to evaluate the independent and joint associations of CKM stages and systemic inflammation with all-cause and CVD mortality in a representative cohort of United States adults.

METHODS

We analyzed data from 29,459 adults aged ≥ 20 years from the National Health and Nutrition Examination Survey (1999-2018). CKM stages were classified based on metabolic risk factors, CVD, and chronic kidney disease. Systemic inflammation was assessed using multiple indicators, and time-dependent ROC analysis identified the systemic inflammatory response index (SIRI) as the most effective inflammatory marker. The associations of CKM stages and SIRI with mortality were evaluated.

RESULTS

Over a median follow-up of 109 months, 5,583 all-cause deaths and 1,843 CVD-specific deaths occurred. Both advanced CKM stages and elevated SIRI were associated with higher risks of all-cause and CVD mortality. Individuals with advanced CKM stages (Stages 3-4) and elevated SIRI (> 0.81) had the highest risks of all-cause (HR: 1.84, 95% CI: 1.65-2.05) and CVD mortality (HR: 2.50, 95% CI: 2.00-3.12). These associations were particularly pronounced in adults aged < 60 years (P for interaction < 0.001).

CONCLUSIONS

Advanced CKM stages and elevated SIRI are associated with increased risks of all-cause and CVD mortality, particularly in younger adults. These findings highlight the significance of targeted interventions to address systemic inflammation and CKM progression, potentially improving long-term outcomes in high-risk populations.

The association of isocarbophos and isofenphos with different types of glucose metabolism: The role of inflammatory cells

To investigate the associations between isocarbophos and isofenphos with impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM), and to assess the mediation roles of inflammation cells. There were 2701 participants in the case-control study, including 896 patients with T2DM, 900 patients with IFG, 905 subjects with NGT. Plasma isocarbophos and isofenphos concentrations were measured using gas chromatography and triple quadrupole tandem mass spectrometry. Generalized linear models were used to calculate the relationships between plasma isofenphos and isocarbophos levels with inflammatory factor levels and T2DM. Inflammatory cell was used as mediators to estimate the mediating effects on the above associations. Isocarbophos and isofenphos were positively related with T2DM after adjusting for other factors. The odds ratio (95% confidence interval) (OR (95%CI)) for T2DM was 1.041 (1.015, 1.068) and for IFG was 1.066 (1.009, 1.127) per unit rise in ln-isocarbophos. The prevalence of T2DM increased by 6.4% for every 1 unit more of ln-isofenphos (OR (95% CI): 1.064 (1.041, 1.087)). Additionally, a 100% rise in ln-isocarbophos was linked to 3.3% higher ln-HOMA2IR and a 0.029 mmol/L higher glycosylated hemoglobin (HbA1c) (95% CI: 0.007, 0.051). While a 100% rise in ln-isofenphos was linked to increase in ln-HOMA2 and ln-HOMA2IR of 5.8% and 3.4%, respectively. Furthermore, white blood cell (WBC) and neutrophilic (NE) were found to be mediators in the relationship between isocarbophos and T2DM, and the corresponding proportions were 17.12% and 17.67%, respectively. Isofenphos and isocarbophos are associated with IFG and T2DM in the rural Chinese population, WBC and NE have a significant role in this relationship.

Graves' Disease and the Risk of Type 2 Diabetes: A Korean Population-Based Study

Background: Several meta-analyses have found no association between Graves' disease (GD) and an increased risk of incident diabetes; however, the intricate relationship between thyroid dysfunction and diabetes remains underexplored. In this study, we aimed to evaluate the risk of incident type 2 diabetes (T2DM) in a population newly diagnosed with GD, focusing on different treatment methods and treatment duration. Methods: This was a retrospective population-based study utilizing data from the Korean National Health Insurance database. We included 36,243 patients with GD and 36,243 controls, matched with age and sex. We calculated the incidence of T2DM among patients and controls based on treatment methods, such as medical therapy, radioactive iodine therapy (RAIT), and surgery. We examined the cumulative dose and duration of antithyroid drug (ATD) use for each patient. Results: The majority of patients (34,867, 96.2%) were treated with ATDs, followed by RAIT (1093 patients, 3%), and surgery (283 patients, 0.8%). After adjusting for age; sex; income; comorbidities, including hypertension, dyslipidemia, and cancer; body mass index; smoking; drinking; and exercise, patients with GD exhibited a higher risk of developing diabetes (hazard ratio [HR] = 1.13 [95% confidence interval 1.06-1.21]) than controls (5.1% vs. 4.5%, respectively). While the risk was the highest within the first six months after GD diagnosis (HR = 3.21), it was significant between six months and two years (HR = 1.36) and was comparable with the controls two years after GD diagnosis (HR = 0.93). A longer duration of ATD treatment and a higher cumulative dose were associated with an increased risk of diabetes. However, the risks for T2DM did not differ according to treatment modality or clinical outcomes, which was probably related to the small number of patients in each subgroup. Conclusions: Our findings highlight the negative impact of GD on the development of T2DM. Patients newly diagnosed with GD can be considered for diabetes screening to facilitate early detection and intervention.

Brain Iron Deposition Alterations in Type 2 Diabetes Mellitus Patients With Mild Cognitive Impairment Based on Quantitative Susceptibility Mapping

BACKGROUND

Iron is one of the most important elements in brain that may has a direct impact on the stability of central nervous system. The current study devoted to explore the alterations of iron distribution across the whole brain in type 2 diabetes mellitus (T2DM) patients with mild cognitive impairment (MCI).

METHODS

The quantitative susceptibility mapping (QSM) technique was used to quantify the intracranial iron content of 74 T2DM patients with MCI and 86 T2DM patients with normal cognition (NC). The group comparison was performed by a voxel-based analysis. Then we evaluated the relationships between cognitive indicators and magnetic susceptibility value (MSV) measured by QSM of the significant brain areas, which were set as the regions of interest (ROIs). In addition, we analyzed the moderation effects of grey matter volume (GMV) of the related brain areas and several metabolic and cerebrovascular factors on the associations between MSV of ROIs and cognitive characteristics.

RESULTS

T2DM patients with MCI exhibited a lower MSV in the right middle temporal gyrus (MTG) compared to NC group. And in the MCI group, there were significantly negative correlations between MSV of the right MTG and several memory indexes. Furthermore, the moderation effects of GMV of the whole brain and the bilateral MTG on the relationship between MSV of the right MTG and scores of list recognition were significant.

CONCLUSIONS

T2DM patients with MCI had a temporary decreased iron content in the right MTG, which may partially compensate for cognitive impairment.

TRIAL REGISTRATION

The study was registered at Clinicaltrials.gov (NCT02738671).

Risk factors for diabetic retinopathy in young and middle-aged patients: a retrospective study

AIMS/INTRODUCTION

To investigate the related risk factors of retinopathy in young and middle-aged diabetic patients in order to improve the prognosis of patients.

MATERIALS AND METHODS

Using clinical practice data from a cohort study at our two research centers, we developed a bivariate logistic regression model to investigate the frightening risk factors potentially for retinopathy in young and middle-aged patients with diabetes, including diabetes type, physical activity level, treatment-related characteristics and laboratory tests.

RESULTS

A total of 453 patients with diabetes were investigated, 197 (43.5%) developed retinopathy. The risk of retinopathy was closely related to place of residence (OR: 0.275, 95% CI: 0.093-0.814), education level (OR: 0.522, 95% CI: 0.363-0.749), medical payment method (OR: 2.152, 95% CI: 1.308-3.539), BMI (OR: 1.187, 95% CI: 1.091-1.291), disease course (OR: 1.072, 95% CI: 1.028-1.118), hyperlipidemia (OR: 2.547, 95% CI: 1.260-5.150), physical activity level (OR: 0.312, 95% CI: 0.220-0.443), and dietary compliance (OR 0.871, 95% CI: 0.806-0.940). The area under the receiver operator characteristic curve was 0.915. Goodness of fit (Hosmer-Lemeshow) was 0.658.

CONCLUSIONS

The risk of young and middle-aged patients with increased as a result of certain patient characteristics and complications, especially lower dietary compliance and physical activity level.

The Burden of Type 2 Diabetes in Adolescents and Young Adults in China: A Secondary Analysis from the Global Burden of Disease Study 2021

Background: Early-onset type 2 diabetes (T2D) is an increasingly serious public health issue, particularly in China. This study aimed to analyze the characteristics of disease burden, secular trend, and attributable risk factors of early-onset T2D in China. Methods: Using data from the Global Burden of Disease (GBD) 2021, we analyzed the age-standardized rate (ASR) of incidence, disability-adjusted life years (DALYs), and mortality rates of T2D among individuals aged 15 to 39 years in China from 1990 to 2021. Joinpoint regression analysis was employed to analyze secular trend, calculating the average annual percent change (AAPC). We also examined changes in the proportion of early-onset T2D within the total T2D burden and its attributable risk factors. Results: From 1990 to 2021, the ASR of incidence of early-onset T2D in China increased from 140.20 [95% uncertainty interval (UI): 89.14 to 204.74] to 315.97 (95% UI: 226.75 to 417.55) per 100,000, with an AAPC of 2.67% (95% CI: 2.60% to 2.75%, P < 0.001). DALYs rose from 116.29 (95% UI: 78.51 to 167.05) to 267.47 (95% UI: 171.08 to 387.38) per 100,000, with an AAPC of 2.75% (95% CI: 2.64% to 2.87%, P < 0.001). Mortality rates slightly decreased from 0.30 (95% UI: 0.24 to 0.38) to 0.28 (95% UI: 0.23 to 0.34) per 100,000, with an AAPC of -0.22% (95% CI: -0.33% to -0.11%, P < 0.001). The 15 to 19 years age group showed the fastest increase in incidence (AAPC: 4.08%, 95% CI: 3.93% to 4.29%, P < 0.001). The burden was consistently higher and increased more rapidly among males compared to females. The proportion of early-onset T2D within the total T2D burden fluctuated but remained higher than global levels. In 2021, high body mass index (BMI) was the primary attributable risk factor for DALYs of early-onset T2D (59.85%, 95% UI: 33.54% to 76.65%), and its contribution increased substantially from 40.08% (95% UI: 20.71% to 55.79%) in 1990, followed by ambient particulate matter pollution (14.77%, 95% UI: 8.24% to 21.24%) and diet high in red meat (9.33%, 95% UI: -1.42% to 20.06%). Conclusion: The disease burden of early-onset T2D in China is rapidly increasing, particularly among younger populations and males. Despite a slight decrease in mortality rates, the continued rapid increase in incidence and DALYs indicates a need for strengthened prevention and management strategies, especially interventions targeting younger age groups. High BMI and environmental pollution emerge as primary risk factors and should be prioritized in future interventions.

Brachial-Ankle Pulse Wave Velocity as a Predictor of Diabetes Development: Elevated Risk Within Normal Range Values in a Low-Risk Population

BACKGROUND

Recent studies have suggested that increased brachial-ankle pulse wave velocity (baPWV) is a risk factor for diabetes. Exploring its relationship with insulin resistance is of interest, necessitating further studies across different sexes and age groups.

METHODS AND RESULTS

This cohort study involved 119 170 Korean adults with an average age of 39.8 years, none of whom had diabetes at baseline. As part of a health screening, baPWV measurements were taken. Over a median follow-up period of 5.6 years, fasting blood glucose, glycated hemoglobin, insulin levels, and questionnaire responses were collected. The risk of developing diabetes was evaluated using a flexible parametric proportional hazards model with data stratified by sex and age group (<40 versus ≥40 years). During the follow-up period, diabetes was diagnosed in 5966 participants (5.0%). A fully adjusted model found that the hazard ratios for diabetes onset associated with baPWV quartiles Q2 (1171.0-1270.5 cm/s), Q3 (1271.0-1376.0 cm/s), and Q4 (≥1376.5 cm/s) compared with Q1 (<1171.0 cm/s) were 1.06 (95% CI, 0.96-1.17), 1.25 (1.14-1.38), and 1.48 (1.34-1.62), respectively (P for trend <0.001). A significant sex-based interaction was noted in this association, with women showing a higher risk of diabetes development. Furthermore, higher baPWV quartiles were associated with an increased risk of developing insulin resistance, defined as the homeostatic model assessment of insulin resistance.

CONCLUSIONS

These findings highlight the importance of arterial stiffness, as measured by elevated baPWV, in the development of diabetes and insulin resistance. Notably, this study highlighted a strong association, particularly among women.

Trends in the incidence of young-adult-onset diabetes by diabetes type: a multi-national population-based study from an international diabetes consortium

BACKGROUND

Population-based incidence data on young-adult-onset type 1 diabetes and type 2 diabetes are limited. We aimed to examine secular trends in the incidence of diagnosed type 1 diabetes and type 2 diabetes with an age of onset between 15 and 39 years.

METHODS

In this multicountry aggregate data analysis, we assembled eight administrative datasets from high-income jurisdictions and countries (Australia, Denmark, Finland, Hungary, Japan, Scotland, South Korea, and Spain [Catalonia]) that had appropriate data available from an international diabetes consortium (GLOBODIAB) describing incidence by diabetes type among people aged 15-39 years from 2000 to 2020. We modelled type 1 diabetes and type 2 diabetes incidence rates using Poisson regression including age and calendar time by sex.

FINDINGS

During the years 2000-20, there were 349 591 incident diabetes (both types) cases from 346 million person-years of follow-up among people aged 15-39 years. Over time, there was no statistically significant change in the incidence of type 1 diabetes in Hungary and Japan. The incidence of type 1 diabetes significantly increased in Australia, Denmark, Finland, Scotland, South Korea, and Spain, with annual changes ranging from 0·5% to 6·0%. The incidence of type 2 diabetes significantly increased in four of eight jurisdictions (Denmark, Finland, Japan, and South Korea), with annual increases from 2·0% to 8·5%. The magnitude of increase in incidence of type 2 diabetes was greater in Asian than non-Asian jurisdictions. There was no statistically significant change in type 2 diabetes incidence in Australia and Hungary. The incidence of type 2 diabetes significantly decreased in Scotland and Spain, with annual changes of -0·7% and -1·5%, respectively.

INTERPRETATION

There is variability in the trajectory of the incidence of young-adult-onset type 2 diabetes among high-income countries or jurisdictions, with a greater evidence of increase in Asian than non-Asian countries. Evolving trends in the incidence of type 1 and type 2 diabetes in young adults call for the ongoing surveillance of diabetes incidence and a greater research focus on this population.

FUNDING

US Centers for Disease Control and Prevention, Diabetes Australia Research Programme, and Victoria State Government Operational Infrastructure Support Programme.

Interventions and behaviour change techniques for improving physical activity level in working-age people (18-60 years) with type 2 diabetes: A systematic review and network meta-analysis

BACKGROUND

The escalating prevalence of type 2 diabetes within the working-age population (18-60 years) imposes a substantial societal burden. Whilst physical activity is crucial for diabetes management, limited evidence exists to inform optimal strategies for promoting physical activity in this population. We aimed to evaluate and compare the effect of interventions for increasing physical activity in working-age adults with type 2 diabetes.

METHODS

We searched Web of Science, the Cochrane Library, Medline, Embase, PsycINFO, ClinicalTrials.gov, and ICTRP from inception to April 30, 2023. Randomised controlled trials that reported the effect of interventions (education, training or behavioural) to promote physical activity (either self-reported or objective) in people aged 18-60 years were included. Two independent reviewers conducted summary data extraction and quality assessment. Pairwise random-effects, Frequentist network meta-analyses, and subgroup analysis were used to obtain pooled effects.

RESULTS

A total of 52 trials were included in this systematic review. Compared to control group, the physical activity interventions demonstrated statistically significant effects on objectively measured physical activity (SMD 0.77, 95 % CI 0.27-1.27), self-reported physical activity (SMD 0.88, 95 % CI 0.40-1.35), and overall physical activity (SMD 0.82, 95 % CI 0.48-1.16); a statistically and clinically meaningful reduction on glycated haemoglobin A1c (HbA1c) was also identified (MD -0.50 %, 95 % CI -0.66, -0.35). In terms of intervention types, education interventions exerted the largest effect on objectively measured physical activity; however, psychological interventions had the largest effects on overall physical activity compared to other intervention types. Four behaviour change techniques were related to statistically significant reduction in HbA1c: goal setting (outcome), information about health consequences, demonstration of the behaviour, and prompts/cues. Subgroup analysis showed that delivery mode, intervention setting, and facilitator were associated with statistically significant effect on physical activity and HbA1c.

CONCLUSIONS

Psychologically modelled education incorporating behaviour change techniques may be the most beneficial way to promote physical activity and glycaemic control in working-age adults with type 2 diabetes. Delivery mode, intervention setting, and facilitator type should be considered when designing interventions for improving physical activity level in working-age people with type 2 diabetes.

Risk factors for rapid kidney function decline in diabetes patients

Diabetic nephropathy, as a severe microvascular complication of diabetes, manifests in four clinical types: classic, albuminuria regression, a rapid decline in kidney function (RDKF), and non-proteinuric or non-albuminuric DKD. Rapidly progressive diabetic nephropathy advances to end-stage renal disease more swiftly than the typical form, posing significant risks. However, a comprehensive understanding of rapidly progressive diabetic nephropathy is currently lacking. This article reviewed latest developments in genetic and clinical risk factors associated with rapidly progressive diabetic nephropathy, aiming to broad perspectives concerning the diagnosis and interventions of this condition.

Preventing type 2 diabetes among Indigenous youth: A systematic review of community-based interventions

A systematic review was conducted to assess evidence on effectiveness of community-based interventions promoting wellbeing and prevention of type 2 diabetes (T2D) among Indigenous youth. A convergent, segregated, mixed methods approach was used, with six databases and four grey literature sites searched from inception to May 2022. Articles selected for inclusion were about community-based interventions related to T2D prevention with Indigenous youth that evaluated effectiveness or youth experience published in English. Reference lists were also searched for relevant sources. Seven quantitative research articles met the inclusion and quality assessment criteria. No qualitative articles were identified. The results were synthesised through narrative analysis, while meta-analysis was not possible due to heterogenous study designs. Common foci across interventions included promoting physical wellness, improving physical activity and healthy eating patterns, enhancing knowledge, and psychosocial wellness. Interventions deemed effective addressed multiple areas, were school-based, and operated for at least a year. Findings support multi-strategy, community-based interventions implemented over longer periods of time. However, gaps in research and reporting included the extent to which interventions are culturally informed and based on community-driven priorities. Future research should include Indigenous, mixed and qualitative methods and Indigenous-driven measures of success to better understand effectiveness in alignment with Indigenous worldviews.

Younger-onset compared with later-onset type 2 diabetes: an analysis of the UK Prospective Diabetes Study (UKPDS) with up to 30 years of follow-up (UKPDS 92)

BACKGROUND

Younger-onset type 2 diabetes is associated with accelerated complications. We assessed whether complications and mortality rates differed for younger age compared with older age at diagnosis over 30 years of follow-up.

METHODS

In this study, we used data from the UKPDS, collected between 1977 and 2007, of participants aged 25-65 years with newly diagnosed type 2 diabetes with younger-onset (younger than 40 years) or later-onset (40 years or older), and without diabetes autoantibodies. We analysed standardised mortality ratios (SMR) using UK general population data, and incidence rates of prespecified outcomes by 10-year age intervals at diagnosis.

FINDINGS

Of 4550 participants testing negative to all measured autoantibodies, 429 (9·4%) had younger-onset type 2 diabetes. 2704 (59·4%) were male, and mean HbA1c was 76 mmol/mol (SD 24·6). The median follow-up was 17·5 years (IQR 12·7-20·8). SMR for younger-onset type 2 diabetes was higher (3·72 [95% CI 2·98-4·64]) compared with later-onset type 2 diabetes (1·54 [1·47-1·61]). The incidence rate was higher for all outcomes in later-onset type 2 diabetes, except for microvascular disease (younger-onset 14·5 (11·9-17·7) vs later-onset 12·1 (11·3-13·0) per 1000 person-years). However, at any given age, the 5-year incidence of any diabetes-related endpoint, all-cause mortality, microvascular disease, and myocardial infarction was higher with younger age at diagnosis. Annual mean HbA1c was higher in the first 20 years in younger-onset compared with later-onset type 2 diabetes. Among participants randomised to intensive versus conventional glycaemic control, we observed no interactions by subgroup of younger-onset versus later-onset type 2 diabetes for any outcome.

INTERPRETATION

The risk of dying relative to the general population is even greater for people diagnosed with type 2 diabetes at younger ages. The increased risk of complications and poorer glycaemic control in younger-onset type 2 diabetes calls for the development of services to identify and manage these individuals.

FUNDING

National Institute of Health and Care Research's Biomedical Research Centre.

Age at type 2 diabetes diagnosis and the risk of mortality among US population

To examine the relationship between age at diagnosis of type 2 diabetes (T2DM) with cardiovascular and all-cause mortality in the U.S. population. Data was used from NHANES 1999 ~ 2018, which were screened to include a total of 8,654 participants with a diagnosis of diabetes for the study. We estimated the association between age at diagnosis and cardiovascular and all-cause mortality using weighted multivariate Cox regression analyses. Subgroup analyses and sensitivity analyses were performed to ensure the robustness of the data analysis. The number of participants diagnosed with diabetes at ages < 40, between 40 and 59, and > 60 are 1,492, 3,970, and 3,192, respectively, with median ages of 44.04, 57.59, and 72.24. Among patients diagnosed with T2DM, the relative risk of all-cause mortality increased with younger age at diagnosis: compared to patients with late-onset diabetes (age at type 2 diabetes diagnosis ≥ 60), the hazard ratio for all-cause mortality was 2.72 (95% CI 1.83-4.05) in those with early-onset diabetes (age at type 2 diabetes diagnosis < 40). Similarly, the risk of cardiovascular disease death was observed to be a higher relative risk with younger age at diagnosis. Exposure-effect analysis indicated that younger age at diagnosis is associated with higher risk of all-cause mortality. Subgroup analysis found that the association between age at diagnosis and cardiovascular and all-cause mortality was stronger in the current smokers and hypertensive population. The results of this study suggest that younger age at diagnosis of T2DM is associated with higher risk of death in patients. Younger patients diagnosed with T2DM had a higher risk of cardiovascular and all-cause mortality. These findings strengthen the understanding of the risk of death from T2DM and emphasize the importance of early prevention of diabetes.

Diabetes Duration, Cholesterol Levels, and Risk of Cardiovascular Diseases in Individuals With Type 2 Diabetes

OBJECTIVE

To investigate the association of diabetes duration with cardiovascular disease (CVD) risk and to examine the relationship between lipid levels and CVD risk over the duration.

METHODS

Using the Korean National Health Insurance Service Cohort database, we identified 2 359 243 subjects with type 2 diabetes aged ≥ 20 years in 2015 to 2016. Baseline lipid levels and diabetes duration were evaluated and followed up until December 2020 (mean follow-up, 3.9 years). Subjects were categorized according to diabetes duration (new-onset, < 5 years, 5-9 years, or ≥ 10 years). We analyzed the new-onset diabetes group with low-density lipoprotein cholesterol (LDL-C) < 70 mg/dL as the reference group. The hazard ratios (HRs) and 95% CIs of myocardial infarction (MI) and ischemic stroke (IS) were estimated using a Cox proportional hazards model adjusted for potential confounders.

RESULTS

During follow-up, 45 883 cases of MI and 53 538 cases of IS were identified. The risk of MI or IS began to increase at LDL-C ≥ 160 mg/dL in the new-onset diabetes group, and at LDL-C ≥ 130 mg/dL in the group with diabetes duration < 5 years. Among subjects with diabetes duration of 5 to 9 years, LDL-C levels of 100-129 mg/dL, 130-159 mg/dL, and ≥ 160 mg/dL were significantly associated with the risk of MI (HR [95% CI] 1.13 [1.04-1.22], 1.28 [1.17-1.39], and 1.58 [1.42-1.76], respectively). MI risk in the diabetes duration ≥ 10 years group was increased by 16%, even in the LDL-C 70-99 mg/dL population (HR [95% CI] 1.16 [1.08-1.25]).

CONCLUSION

This population-based longitudinal study revealed that the LDL-C cutoff level for increasing the risk of CVD varied with diabetes duration and that the target LDL-C level should depend on the duration.

Single-cell RNA sequencing reveals a distinct profile of bone immune microenvironment and decreased osteoclast differentiation in type 2 diabetic mice

The pathogenic effects of type 2 diabetes on bone tissue are gaining attention, but the cellular and molecular mechanisms underlying osteoimmunology are still unclear in diabetes-related bone diseases. We delineated the single-cell transcriptome of bone marrow cells from both wide type and type 2 diabetes mice, which provided the first detailed global profile of bone marrow cells and revealed a distinct bone immune microenvironment at the genetic level under type 2 diabetic condition. It was observed that osteoclast activity was inhibited due to a dysregulated cytokine network, which ultimately led to decreased osteoclast formation and differentiation. In type 2 diabetes mice, a specific C d 36 + cluster (cluster 18, monocytes/macrophages 2) was identified as the precursor of osteoclasts with diminished differentiation potential. AP-1 was demonstrated to be the key transcription factor in the underlying mechanism.

Clinical study on prescription used for invigorating spleen, reinforcing kidney and warming yang combined with calcium dobesilate in treatment of senile diabetic nephropathy

OBJECTIVE

To analyze the clinical effect of prescription used for invigorating spleen, reinforcing kidney and warming yang combined with calcium dobesilate to treat senile diabetic nephropathy (DN).

METHODS

The clinical data of 110 elderly patients with DN in our hospital from November 2020 to November 2021 were selected for retrospective analysis, and they were divided into the observation group (OG, n = 55) and the control group (CG, n = 55) according to the principle of random grouping. The CG received conventional therapy and calcium dobesilate, and the OG received conventional therapy, calcium dobesilate and prescription used for invigorating spleen, reinforcing kidney and warming yang to evaluate the clinical value of different treatment programs by comparing their clinical indicators after treatment.

RESULTS

The total effective rate of clinical treatment in the OG was clearly higher than the CG (P < 0.05). The blood glucose indexes, and the levels of ALB and RBP in the OG were visibly lower than the CG after treatment (P < 0.001). After treatment, the average levels of BUN and Cr in the OG were visibly lower than the CG (P < 0.001), while the average eGFR level was significantly higher than the CG (P < 0.001).

CONCLUSION

The prescription used for invigorating spleen, reinforcing kidney and warming yang combined with calcium dobesilate is a reliable method to improve the hemorheology indexes and renal function of DN patients, which benefits patients, and further studies are helpful to establish a better solution for such patients.

Trajectory of haemoglobin A1c and incidence of cardiovascular disease in patients with type 2 diabetes mellitus

AIM

To evaluate the association between changes in haemoglobin A1c (HbA1c) and the concurrent incidence of cardiovascular disease (CVD) in type 2 diabetes mellitus (T2DM) patients.

METHOD

We conducted a retrospective cohort study among T2DM patients with HbA1c measurement after T2DM diagnosis between August 2009 and September 2010. The patients were classified into six subgroups based on baseline HbA1c (<7%; 7%-7.9%; ≥8%) and age (<65; ≥65 years), and then clustered into classes by HbA1c trajectory and CVD incidence over the 12-year follow-up period using joint latent class mixture models. We explored the HbA1c trajectories and CVD incidences in each latent class. Multinomial logistic regression was used to compare the baseline characteristics among different latent classes.

RESULTS

A total of 128 843 T2DM patients were included with a median follow-up period of 11.7 years. Ten latent classes were identified in patients with baseline HbA1c ≥ 8% and age <65 years, while seven classes were identified in the other five groups. Among all the identified latent classes, patients with fluctuating HbA1c trajectories, characterized by alternating periods of increase and decrease, had higher CVD incidences. Male patients, and patients with higher baseline HbA1c and use of antidiabetic drugs were more likely to have a fluctuating HbA1c trajectory. More specifically, patients aged < 65 years with younger age or a smoking habit, and patients aged ≥ 65 years with a longer duration of T2DM were more likely to have a fluctuating HbA1c trajectory.

CONCLUSION

We found that T2DM patients with fluctuating HbA1c trajectories could have a higher CVD risk. Different trajectory-associated characteristics in age subgroups highlight the need for individualized management of T2DM patients.

Association of age at diagnosis of type 2 diabetes mellitus with the risks of the morbidity of cardiovascular disease, cancer and all-cause mortality: Evidence from a real-world study with a large population-based cohort study

AIMS

To investigate the impact of diagnosis age of type 2 diabetes mellitus (T2DM) on subsequent adverse outcomes within the Chinese population.

METHODS

549,959 eligible T2DM patients were included from Ningbo and Jinhua city in Zhejiang province, China. Standardized ratio was used to evaluate the risks of coronary heart disease (CHD), stroke, cancer and all-cause death in different T2DM diagnosis age groups.

RESULTS

For all adverse outcomes, higher excess risks were observed in the youngest age group (30-39) than in the oldest age group (≥80) with T2DM. The standardized incidence ratios (SIR) were 5.93 (95% CI: 3.46, 10.14) for CHD, 5.45 (95% CI: 3.72, 7.99) for stroke and 1.85 (95% CI: 1.38, 2.49) for cancer in the youngest age group, and were 1.32 (95% CI: 1.08, 1.60) for CHD, 1.25 (95% CI: 1.08, 1.44) for stroke, and 0.78 (95% CI: 0.56, 1.09) for cancer, respectively, in the oldest age group. The standardized mortality ratios (SMR) for all-cause death were 3.15 (1.69, 5.84) vs. 1.12 (0.88, 1.43). These excess risks decreased with increasing diagnosis age (all P value < 0.001). Consistent results were observed when individuals were stratified by sex or further excluded with the time from T2DM diagnosis to endpoints less than 1 or 2 years.

CONCLUSIONS

Th earlier the diagnosis of T2DM, the higher the risk for subsequent adverse outcomes. It is imperative to enhance the management and monitoring of early-onset patients during follow-up.

Mediating pathways between attention deficit hyperactivity disorder and type 2 diabetes mellitus: evidence from a two-step and multivariable Mendelian randomization study

AIMS

Type 2 diabetes (T2D) is a global health burden, more prevalent among individuals with attention deficit hyperactivity disorder (ADHD) compared to the general population. To extend the knowledge base on how ADHD links to T2D, this study aimed to estimate causal effects of ADHD on T2D and to explore mediating pathways.

METHODS

We applied a two-step, two-sample Mendelian randomization (MR) design, using single nucleotide polymorphisms to genetically predict ADHD and a range of potential mediators. First, a wide range of univariable MR methods was used to investigate associations between genetically predicted ADHD and T2D, and between ADHD and the purported mediators: body mass index (BMI), childhood obesity, childhood BMI, sedentary behaviour (daily hours of TV watching), blood pressure (systolic blood pressure, diastolic blood pressure), C-reactive protein and educational attainment (EA). A mixture-of-experts method was then applied to select the MR method most likely to return a reliable estimate. We used estimates derived from multivariable MR to estimate indirect effects of ADHD on T2D through mediators.

RESULTS

Genetically predicted ADHD liability associated with 10% higher odds of T2D (OR: 1.10; 95% CI: 1.02, 1.18). From nine purported mediators studied, three showed significant individual mediation effects: EA (39.44% mediation; 95% CI: 29.00%, 49.73%), BMI (44.23% mediation; 95% CI: 34.34%, 52.03%) and TV watching (44.10% mediation; 95% CI: 30.76%, 57.80%). The combination of BMI and EA explained the largest mediating effect (53.31%, 95% CI: -1.99%, 110.38%) of the ADHD-T2D association.

CONCLUSIONS

These findings suggest a potentially causal, positive relationship between ADHD liability and T2D, with mediation through higher BMI, more TV watching and lower EA. Intervention on these factors may thus have beneficial effects on T2D risk in individuals with ADHD.

Association between different stages of cardiovascular-kidney-metabolic syndrome and the risk of all-cause mortality

BACKGROUND AND AIMS

Poor cardiovascular-kidney-metabolic (CKM) health is a major determinant of all-cause mortality, which poses a significant burden on global public health systems and socio-economics. However, the association between different stages of CKM syndrome and the risk of all-cause mortality remains unclear. This study aimed to evaluate the association between different stages of CKM syndrome and risk of all-cause mortality.

METHODS

A total of 97,777 adults from the Kailuan Study were included. Cox proportional hazards regression models were applied to estimate hazard ratios (HRs) and 95 % confidence intervals (CIs) of all-cause mortality according to different stages of CKM syndrome.

RESULTS

Over a median follow-up of 15.0 (14.7-15.2) years, we identified 14,805 all-cause mortality cases. The stage of CKM syndrome was positively associated with the risk of all-cause mortality (p-trend <0.001). Compared with Stage 0, the multivariable-adjusted HRs (95 % CIs) of all-cause mortality were 1.24 (1.06-1.45) for Stage 1, 1.72 (1.48-2.00) for Stage 2, 2.58 (2.22-3.01) for Stage 3 and 3.73 (3.19-4.37) for Stage 4. Moreover, the observed associations were more pronounced in younger adults (aged <60 years) compared with older adults (p for interaction <0.001).

CONCLUSIONS

Our data showed that a higher stage of CKM syndrome was associated with a higher risk of all-cause mortality, with a particularly pronounced association observed in younger adults. The study emphasized the need for targeted public health strategies and clinical management tailored to the stages of CKM syndrome, aiming to alleviate its burden on individuals and healthcare systems.

Association of major candidate protein biomarkers and long-term diabetic kidney disease progression among Asians with young-onset type 2 diabetes mellitus

AIMS

We aim to determine the association of seven major candidate protein biomarkers and diabetic kidney disease (DKD) progression among Asians with young-onset type 2 diabetes mellitus (T2DM).

METHODS

824 T2DM patients (onset ≤ 40 years old) were classified as DKD progressors based on yearly estimated glomerular filtration rate (eGFR) decline of >3 ml/min/1.73 m2 or >40 % from baseline. Plasma leucine-rich α-2-glycoprotein 1 (pLRG1), tumor necrosis factor-receptor 1 (pTNF-R1), pigment epithelium-derived factor (pPEDF), urinary α-1-microglobulin (uA1M), kidney injury molecular 1 (uKIM-1), haptoglobin (uHP) and uromodulin (uUMOD) were measured using enzyme-linked immunoassays.

RESULTS

Over 5.7 years of follow-up, 25.2 % of patients were DKD progressors. Elevated levels of pLRG1, pTNF-R1, pPEDF, uA1M, uKIM-1 and uHP were associated with DKD progression. The association between pTNF-R1 levels and DKD progression persisted after adjusting for clinical covariates (OR 1.84, 95 %CI 1.44-2.34, p < 0.001). The effects of pTNF-R1 were partially mediated through hyperglycemia (8 %) and albuminuria (10 %). Inclusion of pTNF-R1 in a clinical variable-based model improved the area under the receiver operating characteristics curve for predicting DKD progression by 0.02, from 0.72 (95 %CI 0.68-0.76) to 0.74 (95 %CI 0.70-0.78), p = 0.099.

CONCLUSIONS

Among seven major candidate proteins, pTNF-R1, partially mediated through hyperglycemia and albuminuria, robustly predicted DKD progression among Asians with young-onset T2DM.

The use of technology in type 2 diabetes and prediabetes: a narrative review

The increasing incidence of type 2 diabetes, which represents 90% of diabetes cases globally, is a major public health concern. Improved glucose management reduces the risk of vascular complications and mortality; however, only a small proportion of the type 2 diabetes population have blood glucose levels within the recommended treatment targets. In recent years, diabetes technologies have revolutionised the care of people with type 1 diabetes, and it is becoming increasingly evident that people with type 2 diabetes can also benefit from these advances. In this review, we describe the current knowledge regarding the role of technologies for people living with type 2 diabetes and the evidence supporting their use in clinical practice. We conclude that continuous glucose monitoring systems deliver glycaemic benefits for individuals with type 2 diabetes, whether treated with insulin or non-insulin therapy; further data are required to evaluate the role of these systems in those with prediabetes (defined as impaired glucose tolerance and/or impaired fasting glucose and/or HbA1c levels between 39 mmol/mol [5.7%] and 47 mmol/mol [6.4%]). The use of insulin pumps seems to be safe and effective in people with type 2 diabetes, especially in those with an HbA1c significantly above target. Initial results from studies exploring the impact of closed-loop systems in type 2 diabetes are promising. We discuss directions for future research to fully understand the potential benefits of integrating evidence-based technology into care for people living with type 2 diabetes and prediabetes.

Young-onset type 2 diabetes mellitus enhances proteinuria, but not glomerular filtration rate decline: A Japanese cohort study

AIMS/INTRODUCTION

The time course of chronic kidney disease in young-onset type 2 diabetes mellitus remains unclear. We compared the trajectories of proteinuria and estimated glomerular filtration rate (eGFR) decline between young-onset (aged ≤40 years) and late-onset (aged >40 years) type 2 diabetes mellitus in a Japanese multicenter cohort.

MATERIALS AND METHODS

Participants without diabetic kidney disease were divided into two groups according to age at diagnosis: young- and late-onset. The primary endpoint was eGFR <60 mL/min/1.73 m2, proteinuria or both. Multivariable Cox proportional hazards were calculated to estimate incidence.

RESULTS

Among 626 participants with type 2 diabetes mellitus, 78 (12.4%) had young-onset and 548 (87.6%) had late-onset diabetes. The incidence of eGFR <60 mL/min/1.73 m2 was lower (16.7% vs 33.5%, P = 0.003), but that of proteinuria was higher (46.2% vs 28.9%, P = 0.002) in the young-onset type 2 diabetes mellitus group. The Kaplan-Meyer curve showed that young-onset type 2 diabetes mellitus was associated with a decreased hazard ratio (HR) for eGFR <60 mL/min/1.73 m2 and an increased HR for proteinuria compared with late-onset type 2 diabetes mellitus. In the multivariate Cox analysis, young-onset type 2 diabetes mellitus increased the HR (95% confidence interval) of proteinuria (1.53, 95% confidence interval 1.03-2.26), but did not change the eGFR <60 mL/min/1.73 m2 HR.

CONCLUSIONS

Young-onset type 2 diabetes mellitus has a lower HR of eGFR <60 mL/min/1.73 m2 and an increased HR of proteinuria compared with late-onset type 2 diabetes mellitus, indicating that young-onset type 2 diabetes mellitus has a different time course for the development of proteinuria and subsequent eGFR decline.

Changes in the Epidemiological Landscape of Diabetes in South Korea: Trends in Prevalence, Incidence, and Healthcare Expenditures

Diabetes is a serious public health concern that significantly contributes to the global burden of disease. In Korea, the prevalence of diabetes is 12.5% among individuals aged 19 and older, and 14.8% among individuals aged 30 and older as of 2022. The total number of people with diabetes among those aged 19 and older is estimated to be 5.4 million. The incidence of diabetes decreased from 8.1 per 1,000 persons in 2006 to 6.3 per 1,000 persons in 2014, before rising again to 7.5 per 1,000 persons in 2019. Meanwhile, the incidence of type 1 diabetes increased significantly, from 1.1 per 100,000 persons in 1995 to 4.8 per 100,000 persons in 2016, with the prevalence reaching 41.0 per 100,000 persons in 2017. Additionally, the prevalence of gestational diabetes saw a substantial rise from 4.1% in 2007 to 22.3% in 2023. These changes have resulted in increases in the total medical costs for diabetes, covering both outpatient and inpatient services. Therefore, effective diabetes prevention strategies are urgently needed.

Associations between serum 25-hydroxyvitamin D and prognosis of chronic kidney disease: a prospective cohort study

BACKGROUND AND OBJECTIVES

25-hydroxyvitamin D [25(OH)D] deficiency is prevalent in patients with chronic kidney disease (CKD), the associations between serum 25(OH)D levels and mortality in patients with CKD remain unclear, and this study aimed to explore these associations further.

METHODS

4989 participants with CKD were enrolled in the study, and the Cox regression model was used to assess the effects of serum 25(OH)D concentrations on mortality risk. A restricted cubic spline model was used to explore the dose-response relationships, and threshold effect analysis was performed based on inflection points identified by a two-piecewise linear regression model. In addition, subgroup and sensitivity analyses were employed.

RESULTS

1255 participants died during a mean follow-up period of 70 months. Compared with the 25(OH)D-deficient group, the fully adjusted hazard ratios and 95% confidence intervals for the 25(OH)D-adequate group were 0.631 (0.545, 0.730) for all-cause mortality, 0.569 (0.435, 0.743) for cardiovascular mortality, 0.637 (0.461, 0.878) for hypertension mortality, and cancer mortality was 0.596 (0.426, 0.834). The inflection points of serum 25(OH)D concentration affecting all-cause and cardiovascular mortality were 89 nmol/L, and 107 nmol/L, respectively. Subgroup analyses and interaction tests suggested that the effects varied across populations. The results of sensitivity analyses indicated a reliable correlation.

CONCLUSION

We found an association between serum 25(OH)D concentrations and the prognosis of patients with CKD as a reliable predictor of early intervention and intensive care.

Is Web-Based Diabetes Training Effective or Ineffective on the Quality of Life of Individuals with Type 2 Diabetes Mellitus?: A Systematic Review

Diabetes mellitus is called as the "pandemic of the era" due to its rising prevalence. Since it is a disease that affects all spheres of life, it has an impact on the quality of life of individuals. This systematic review aims to examine the effect of web-based diabetes training programmes prepared for individuals with type 2 diabetes mellitus on their quality of life. The PRISMA-P (Preferred Reporting Items for Systematic Review and Meta Analysis Protocols) flowchart was used in the literature search stage. A comprehensive search was performed through the [MeSH] keywords (Web-based Intervention, Randomised Controlled Trial, HRQOL, Type 2 Diabetes) until May 8, 2024 in databases of PubMed, Web of Science, Science Direct, Medline, CINAHL, EBSCO host, Cochrane Library, and Google Scholar. Zotero software program was used to identify duplications of the obtained studies. Seven randomised controlled studies were included in the review. It was found that, most of the studies that were included in review showed that quality of life did not cause any significant difference in the level of quality of life; whereas, improvement was observed in quality-of-life levels in all of the experimental groups. Also, studies conducted for 1.5 to 3 months showed that web-based training was effective in improving the quality of life. Consequently, it is recommended that web-based trainings be long enough to prevent patients from dropping out of training, with possibility of an online individual interview, and follow-up periods of 1.5 to 3 months in order to achieve effective results. PROSPERO Number: CRD42024530777.

The role of microRNAs in pregnancies complicated by maternal diabetes

With the global prevalence of diabetes increasing, more people of reproductive age are experiencing hyperglycaemic pregnancies. Maternal Type 1 (T1DM) or Type 2 (T2DM) diabetes mellitus, and gestational diabetes mellitus (GDM) are associated with maternal cardiovascular and metabolic complications. Pregnancies complicated by maternal diabetes also increase the risk of short- and long-term health complications for the offspring, including altered fetal growth and the onset of T2DM and cardiometabolic diseases throughout life. Despite advanced methods for improving maternal glucose control, the prevalence of adverse maternal and offspring outcomes associated with maternal diabetes remains high. The placenta is a key organ at the maternal-fetal interface that regulates fetal growth and development. In pregnancies complicated by maternal diabetes, altered placental development and function has been linked to adverse outcomes in both mother and fetus. Emerging evidence suggests that microRNAs (miRNAs) are key molecules involved in mediating these changes. In this review, we describe the role of miRNAs in normal pregnancy and discuss how miRNA dysregulation in the placenta and maternal circulation is associated with suboptimal placental development and pregnancy outcomes in individuals with maternal diabetes. We also discuss evidence demonstrating that miRNA dysregulation may affect the long-term health of mothers and their offspring. As such, miRNAs are potential candidates as biomarkers and therapeutic targets in diabetic pregnancies at risk of adverse outcomes.

Metabolic Dysfunction-Associated Steatotic Liver Disease Is Associated with Increased Risk of Kidney Cancer: A Nationwide Study

Background: This study investigated the association between metabolic dysfunction-associated steatotic liver disease (MASLD) and Kidney Cancer Risk, as the incidence of both diseases gradually increases owing to metabolic health issues. Methods: Participants (aged 20-79) undergoing a national health examination between 2009 and 2010 were monitored for new-onset kidney cancer. The MASLD spectrum was classified as non-MASLD, MASLD, or MASLD with increased alcohol uptake (MetALD). Kidney Cancer Risk associated with the MASLD spectrum was estimated using multivariate Cox proportional hazard models. Age- and sex-stratified analyses were also performed. Results: Among 8,829,510 participants (median follow-up 13.3 years), the proportion of non-MASLD, MASLD, and MetALD was 64.9%, 30.3%, and 4.7%, respectively, with newly developed kidney cancer in 17,555 participants. Kidney cancer was significantly increased with MASLD (adjusted hazard ratio [aHR] 1.51, 95% confidence interval [CI] 1.46-1.56) and MetALD (aHR 1.51, 95% CI 1.42-1.61), compared with the non-MASLD group. Kidney Cancer Risk was the highest among young populations (aHR 1.93, 95% CI 1.77-2.11 for MASLD and aHR 1.91, 95% CI 1.65-2.22 for MetALD), according to stratification analysis. Furthermore, the cumulative relationship between metabolic dysfunction and Kidney Cancer Risk was confirmed across all MASLD spectra. Conclusions: Our study highlights the positive association between MASLD and Kidney Cancer Risk, emphasizing a comprehensive approach to metabolic health. This also serves as a call to devote closer attention to the metabolic health of younger patients.

Ambient air fine particulate matter (PM10 and PM2.5) and risk of type 2 diabetes mellitus and mechanisms of effects: a global systematic review and meta-analysis

Type 2 diabetes causes early mortality worldwide. Air pollution's relationship with T2DM has been studied. The association between them is unclear because of inconsistent outcomes. Studies on this topic have been published since 2019, but not thoroughly evaluated. We conducted a systematic review and meta-analysis using relevant data. The study protocol was registered in PROSPIRO and conducted according to MOOSE guidelines. In total, 4510 manuscripts were found. After screening, 46 studies were assessed using the OHAT tool. This meta-analysis evaluated fine particles with T2DM using OR and HR effect estimates. Evaluation of publication bias was conducted by Egger's test, Begg's test, and funnel plot analysis. A sensitivity analysis was conducted to evaluate the influence of several studies on the total estimations. Results show a significant association between PM2.5 and PM10 exposure and T2DM. Long-term exposure to fine air particles may increase the prevalence and incidence of T2DM. Fine air pollution increases the chance of developing T2DM mainly via systemic inflammation, oxidative stress, and endoplasmic reticulum stress.

Association between age at diagnosis and all-cause mortality in type 2 diabetes: the Renal Insufficiency and Cardiovascular Events (RIACE) Italian Multicenter Study

AIMS

It is unclear whether type 2 diabetes diagnosed in young adulthood is associated with increased severity than that occurring later in life beyond longer lifetime exposure to hyperglycemia. This study aimed at assessing the independent association of age at type 2 diabetes diagnosis with all-cause mortality.

METHODS

This prospective cohort study enrolled 15,773 Caucasian patients with type 2 diabetes in 19 Italian centers in 2006-2008. Cardiometabolic risk profile and presence of complications and comorbidities were assessed at baseline and participants were stratified by quartiles of age at diabetes diagnosis. All-cause mortality was verified on 31 October 2015.

RESULTS

Valid information on vital status was retrieved for 15,656 participants (99.3%). Patients in the lowest quartile had the longest diabetes duration, the worst glycemic control and the highest prevalence of insulin treatment, obesity, atherogenic dyslipidemia, and smoking habits. All complications were inversely associated with age at diabetes diagnosis after adjustment for age and sex, but not after further adjustment for diabetes duration. Percentages of death, Kaplan-Meier estimates, and unadjusted hazard ratios and mortality rates increased from the lowest to the highest quartile. In contrast, when adjusting for age and sex, participants falling in the lowest quartile, showed the highest mortality risk [hazard ratio 1.321 (95% confidence interval 1.196-1.460), P < 0.0001]. However, differences among quartiles disappeared after adjustment for diabetes duration, complications/comorbidities, or other cardiovascular risk factors.

CONCLUSIONS

Type 2 diabetes onset in young adulthood is associated with increased mortality that is mainly driven by longer diabetes duration favoring the development of complications.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT00715481, retrospectively registered 15 July, 2008.

The interaction effect between BMI, diabetes and age at diabetes onset on the risk of thyroid cancer: A population-based cohort study in Shanghai, China

AIM

To determine the association of the presence of diabetes and, among persons with diabetes, the age at type 2 diabetes mellitus (T2DM) onset, BMI and the interactive effect with the subsequent thyroid cancer risk.

MATERIALS AND METHODS

We conducted a population register-based longitudinal cohort study in Shanghai, including 428 568 persons with new-onset T2DM matched with the general population. The risk of thyroid cancer among subgroups was calculated based on standardized incidence ratio (SIR), hazard ratio (HR) and Cox proportional hazards models.

RESULTS

In total, 1142 thyroid cancer cases were identified during 8 years of follow-up, with an incidence rate of 59.01/100 000 person-years and a higher risk (SIR = 1.21) compared with the general population. The earlier age at T2DM onset and higher BMI were associated with an increasing risk of thyroid cancer independently (onset age <50, SIR: 1.46; BMI ≥30.0 kg/m2, SIR: 1.93), with the highest risk in patients with both BMI ≥30.0 kg/m2 and onset age <50 years (SIR = 3.91, HR = 3.04). Among patients with T2DM onset age <60 years, SIR increased with higher BMI, while there were no trends when onset age ≥60 years. Among patients with BMI ≥25.0 kg/m2, SIR increased with an earlier onset age, whereas no trends were shown in the BMI <24.9 kg/m2 groups. Obese (BMI ≥30.0 kg/m2) patients had a significantly higher HR of thyroid cancer only when T2DM onset age <60 years.

CONCLUSIONS

Both earlier age of T2DM onset (<50 years) and higher BMI (≥30 kg/m2) contributed to the higher risk of thyroid cancer. Patients with young-onset T2DM and obesity are considered more vulnerable to thyroid cancer development.