Lifestyle changes can effectively prevent diabetes onset in individuals with prediabetes. Although nurse-led interventions have proven to be cost-effective and feasible in the management of diabetes and hypertension in primary care, low-intensity lifestyle interventions for people with prediabetes led by nurses remain poorly evaluated.

To assess whether a low-intensity nurse-led telephone lifestyle intervention is effective in reducing fasting plasma glucose levels in individuals with prediabetes.

A two-arm, parallel, randomized controlled clinical.

Five Primary Care Centres in the Balearic Islands, Spain.

A total of 206 participants were enrolled, 103 in each group.

Consenting participants aged 25-75 years, with fasting plasma glucose levels of 100-125 mg/dL, and body mass index ≥27 and < 40 kg/m2 were randomly assigned (1:1) to either a 9-month nurse-led telephone lifestyle intervention (intervention) or short text messages with general lifestyle advice (control). Research staff and the statistician were masked to group allocation. The primary outcome was fasting plasma glucose at 9-month follow-up, analyzed per protocol and by intention-to-treat.

Among the 206 participants (103 in each group), 189 (91·8 %; n = 91 in the intervention group, n = 98 in the control group) completed the 4-month follow-up and 181 (87·9 %; n = 87 in the intervention group, n = 94 in the control group) completed the 9-month follow-up. Among the 206 randomized participants, 52.9 % were women, 73.8 % were obese, and 69.4 % were of Spanish nationality. Differences in fasting plasma glucose between groups at 9-months were not statistically significant (Intervention group n = 85 mean 103·4 mg/dL [SD 9·6] vs Control group n = 91 mean 104·8 mg/dL [SD 9·7]; adjusted mean difference 1·1 mg/dL [95 % CI -1·6 to 3·8]; p-value = 0·43). Difference in waist circumference at 9 months were statistically significant (Intervention group n = 85 mean 100.6 cm [SD 10.2] vs Control group n = 91 mean 104.0 cm [SD 10.2]; adjusted mean difference 1.9 cm [95 % CI 0.6 to 3.3]; p-value <0.01). At 9-month follow-up, diet quality improved in the intervention group (intervention group n = 86 mean 8.4 points [SD 2.0] vs control group n = 93 mean 7.5 points [SD 2.1], adjusted mean difference - 1.3 points [95 CI -1.7 to -0.7]; p-value <0.01). Likewise, sedentary behavior presented statistically significant differences at 9-month follow-up (intervention group n = 86 mean 5.4 H/d [SD 1.8] vs control group n = 93 mean 6.3 H/d [SD 1.9], adjusted mean difference 1.0 H/d [95 CI 0.5 to 1.4]; p-value <0.01).

These results do not support the effectiveness of a low-intensity nurse-led telephone lifestyle intervention in reducing fasting plasma glucose in individuals with prediabetes, although changes in diet quality and sedentary behavior were observed.

https://clinicaltrials.gov/study/NCT04735640?term=prediphone&rank=1NCT04735640. Registered 03/02/2021, first recruitment 13/04/2021.

A nurse-led phone intervention had no significant benefits on glucose levels in patients with prediabetes. @GlobalHealth_rg.

Early detection and intervention are vital for managing type 2 diabetes mellitus (T2DM) effectively. However, it's still unclear which risk factors for T2DM onset are most significant. This study aimed to use cluster analysis to categorize individuals based on six known risk factors, helping to identify high-risk groups requiring early intervention to prevent T2DM onset.

This study comprised 7402 Korean Genome and Epidemiology Study individuals aged 40 to 69 years. The hybrid hierarchical k-means clustering algorithm was employed on six variables normalized by Z-score-age, triglycerides, total cholesterol, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol and C-reactive protein. Multivariable Cox proportional hazard regression analyses were conducted to assess T2DM incidence.

Four distinct clusters with significantly different characteristics and varying risks of new-onset T2DM were identified. Cluster 4 (insulin resistance) had the highest T2DM incidence, followed by Cluster 3 (inflammation and aging). Clusters 3 and 4 exhibited significantly higher T2DM incidence rates compared to Clusters 1 (healthy metabolism) and 2 (young age), even after adjusting for covariates. However, no significant difference was found between Clusters 3 and 4 after covariate adjustment.

Clusters 3 and 4 showed notably higher T2DM incidence rates, emphasizing the distinct risks associated with insulin resistance and inflammation-aging clusters.

The role of Lactobacillus murinus as a potential probiotic is being explored. Our objectives were to explore the effects of Lactobacillus murinus on insulin resistance and the underlying mechanism.

Insulin resistance animal models were applied to study the effect of L. murinus and the underlying mechanism by six weeks of treatment. Metformin was administered in vitro to analyze the growth and metabolites of L. murinus. Serum metabolites were further analyzed after L. murinus administration. The effect of L-citrulline and the underlying mechanism in alleviating insulin resistance were evaluated.

L. murinus not only reduced body weight gain and postprandial blood glucose (PBG) but improved impaired glucose tolerance (IGT) and insulin resistance. Moreover, L. murinus inhibited the secretion of pro-inflammatory factors (IL-1β, IL-6 and TNF-α) while promoted the secretion of anti-inflammatory factor (IL-10). Further, L. murinus promoted the expression of carnitine palmitoyl transferase 1 (CPT1) while inhibited phosphoenolpyruvate carboxykinase (PCK) and glucose-6-phosphatase (G6Pase). A total of 147 metabolites of L. murinus were identified, in which the content of L-citrulline increased to 7.94 times after metformin regulation. Further, the serum concentration of L-citrulline significantly increased after L. murinus administration. Similarly, L-citrulline reduced body weight gain and PBG, improved IGT and insulin resistance. Additionally, L-citrulline improved inflammation, promoted CPT1 while inhibited PCK and G6Pase.

L. murinus mediated by L-citrulline alleviated insulin resistance via promoting fatty acid oxidation and inhibiting gluconeogenesis, suggesting that supplementation of L. murinus could be a potential therapeutic approach for type 2 diabetes related to insulin resistance.

Coffee consumption has been shown to be protective against diabetes, but the effects of coffee with additives, such as condensed milk in Vietnam, remain underexplored. This cross-sectional study aimed to examine the associations of coffee consumption with prediabetes, diabetes, and markers of glucose metabolism among 3,000 middle-aged rural residents in Vietnam.

Multinomial logistic regression was used to examine the associations of coffee consumption (0, 0.1-0.9, 1-1.9, or ≥ 2 cups/day) with prediabetes and diabetes, adjusting for demographics, lifestyle factors, dietary intake, comorbidities, and use of additives. Associations with insulin resistance and insulin secretion (as assessed by homeostatic model assessment of insulin resistance (HOMA-IR) and homeostatic model assessment of β-cell function (HOMA-β)) were examined using linear regression.

Adjusted odds ratios (95% confidence interval) for prediabetes were 1.02 (0.78-1.32), 1.18 (0.91-1.52), 0.60 (0.35-1.03) for 0.1-0.9, 1-1.9, or ≥ 2 cups/day, respectively, compared to non-coffee drinkers (p for trend = 0.84). For diabetes, the corresponding figures were 1.74 (1.14-2.67), 1.43 (0.92-2.20), 0.59 (0.22-1.59) (p for trend = 0.50). No significant associations were observed for HOMA-IR (p for trend = 0.41) or HOMA-β (p for trend = 0.44).

The present study among rural residents in Vietnam did not find clear associations of coffee consumption with prediabetes, diabetes, or markers of glucose metabolism, including the effects of coffee with additives, underscoring the complexity of these associations and the need for further research to confirm the findings in rural Vietnam.

We estimate the difference in direct healthcare costs of individuals diagnosed with diabetes depending on their glucose level, considering different timespans and subgroups. Using data from administrative registers of 285,450 individuals in Catalonia from 2013 to 2017, we used a fuzzy regression discontinuity design to estimate the causal effect of being diagnosed with diabetes at a given timespan (based on an average glucose value equal to or above 6.5%, the treated group) vs. not (having an average glucose level below the threshold, the control group) on healthcare costs across different timespans (6, 9, 12, 15, 18, 21, and 24 months after the first laboratory test) and distances, in days, between the laboratory test and the doctor's diagnosis. When average glucose level was the only independent parameter and the time until diagnosis was 30 days or less, at the cut-off value (6.5%) healthcare costs were between €3,887 and €5,789 lower for the treated group compared to the control group. Smaller differences were reported as the delay in diagnosis increased, even when additionally controlling for sociodemographic characteristics and health status. Our results highlight the importance of prompt diagnosis and might open the debate about the usefulness of the 6.5% reference value in the blood glucose level as the main diagnostic tool in diabetes.

Magnolol isolated from Magnolia (Magnolia sp.) flowers are used to support the treatment of diabetes. The aim of this study was to investigate the effects of magnolol on the liver antioxidant status in rats with type 2 diabetes and assess oxidative stress parameters at both biochemical and molecular levels.

Mature male Wistar rats with high-fat diet (HFD) and streptozotocin (STZ)-induced type 2 diabetes were administered magnolol at doses of 5 or 25 mg/kg body weight po for 4 weeks. Then, the activities of superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPx), the concentrations of advanced protein oxidation products (AOPPs) and malondialdehyde (MDA), the total antioxidant response (TAR), and the total oxidative status (TOS) were assessed using commercially available colorimetric kits according to the manufacturers' protocols. The mRNA levels of the cytochrome P450 family 1 subfamily A member 2 (CYP1A2), cytochrome P450 family 2 subfamily E member 1 (CYP2E1), nuclear factor erythroid 2-related factor 2 (NFE2L2), and Kelch like ECH-associated protein 1 (KEAP1) genes were determined using real-time quantitative reverse transcription-polymerase chain reaction (RT‒qPCR). All parameters were analyzed in liver samples.

Compared with 5 mg/kg magnolol, 25 mg/kg magnolol had a more beneficial effect on several indicators of oxidative stress in the liver observed as significant decreases in the activity of SOD and CAT, as well as decreased MDA concentrations. Further, significant increases in the concentrations of AOPPs and native thiols were observed. The gene encoding CYP2E1 was upregulated in diabetic rats compared with control rats. Moreover, compared with diabetic rats, diabetic rats treated with 25 mg/kg magnolol presented increased expression of the KEAP1 gene.

The induction of diabetes is known to disturb redox homeostasis. The administration of magnolol at the higher dose used in this study, might counteract the changes in the liver antioxidant status at both the molecular and biochemical levels. Owing to the positive alterations in some oxidative stress parameters, after further in-depth study, magnolol may be considered a promising compound that could be used to complement diabetes treatment.

There was a lack of studies on the relationship between the presence or absence of echocardiography and the prognosis of type 2 diabetes mellitus (DM) patients. Therefore, we used the Medical Information Mart for Intensive Care (MIMIC)-IV database to explore the relationship between them.

The patient information was obtained from the MIMIC-IV database. Taking age, BMI, sex, race, and marital status as scoring items, Propensity Score Matching was carried out according to the ratio of 1: 1. Generalized linear regression, multivariate logistic regression and hierarchical analysis were used to analyze the correlation between echocardiography and prognosis in type 2 DM patients.

A total of 9140 patients were enrolled in this study. There were differences in body mass index, days of type 2 DM, estimation of glomerular filtration rate, length of stay, survival time, readmission, marital status, family history of type 2 DM, drinking, smoking, metformin, coronary heart disease, heart failure, arrhythmia, hypertension, hyperlipidemia, cardiomyopathy, myocardial infarction, atherosclerosis, epilepsy, and thyroid diseases between patients with echocardiography and those without echocardiography. Echocardiography was independently related to survival time and readmission in type 2 DM patients. Besides, echocardiography was related to the survival time of patients with type 2 DM without complications.

We found for the first time that echocardiography was independently associated with the survival time of type 2 DM patients without complications.

To investigate alterations in brain activity in patients with Type 2 Diabetes and explore the relationship between altered regions and neuropsychological performances.

A total of 36 patients with Type 2 Diabetes and 40 age- and education-matched healthy controls were recruited for this case-control study. All participants underwent resting-state functional magnetic resonance imaging (Resting-state fMRI) and neuropsychological tests. The neuropsychological scales included the Auditory Verbal Learning Test (AVLT), Shape Trajectory Test B (STT-B), Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), and Boston Naming Test (BNT), Symbol Digit Modality Test (SDMT), Regional homogeneity (ReHo) and the amplitude of low-frequency fluctuations (ALFF) were used to assess differences in spontaneous regional brain activity. For functional connectivity (FC) analyses, the differences identified among the groups were selected as seed regions. Then, the correlations between neuropsychological scale scores (AVLT, HAMA, HAMD, STT-B, BNT, and SDMT) and ALFF/ReHo values were specifically analyzed in the focal regions that exhibited significant alterations between the T2DM and control groups, as detailed in Tables 2 and 3.

Patients with Type 2 Diabetes exhibited significantly higher ALFF values in the superior lobe of the cerebellum, specifically in the left cerebellar crus I (Cerebellum_Crus I_L), left cerebellar lobule VI (Cerebellum_6_L), and left cerebellar lobule IV-V (Cerebellum_4_5_L). Additionally, they exhibited elevated ReHo values in the Cerebellum_Crus I_L and Cerebellum_6_L. The findings were statistically significant with a family-wise error-corrected, cluster-level p-value of less than 0.05. However, the FC analysis was not significant. AVLT scores were significantly lower in the diabetes group. The correlation analysis demonstrated a negative association between ALFF values of the Cerebellum_6_L and AVLT scores (R2 = 0.1375, P < 0.001). The ReHo values within the Cerebellum_6_L also exhibited a negative association with AVLT scores (R2 = 0.0937, P = 0.007).

Patients with Type 2 Diabetes showed abnormal neural activities in diverse cerebellar regions mainly related to cognitive functions. This provides supplementary information to deepen our insight into the neural mechanisms by which Type 2 Diabetes affects the functional activity of the brain's posterior circulation, as well as the potential association of these changes with cognitive impairment.

Natriuretic peptide concentrations are inversely associated with risk of diabetes mellitus and may be protective from metabolic dysfunction.

We studied associations of N-terminal pro-B-type natriuretic peptide (NT-proBNP) with incident diabetes, metabolic syndrome (MetS), and MetS components.

A total of 2899 participants with baseline (2003-2007) and follow-up (2013-2016) examinations and baseline NT-proBNP measurement in the REasons for Geographic And Racial Differences in Stroke study. Logistic regression models were fitted to incident MetS, MetS components, and diabetes; covariates included demographics, risk and laboratory factors. Incident diabetes was defined as fasting glucose ≥126 mg/dL, random glucose ≥200 mg/dL, or use of insulin or hypoglycemic drugs at follow-up but not baseline. Incident MetS was defined as participants with ≥3 harmonized criteria at follow-up and <3 at baseline.

A total of 310 participants (2364 at risk) developed diabetes and 361 (2059 at risk) developed MetS over a mean 9.4 years of follow-up. NT-proBNP was inversely associated with odds of incident diabetes (fully adjusted OR per SD higher log NT-proBNP 0.80, 95% CI 0.69-0.93) and MetS in the highest vs lowest quartile only (fully adjusted OR 0.59, 95% CI 0.37-0.92); the linear association with incident MetS was not statistically significant. NT-proBNP was inversely associated with incident dysglycemia in all models (fully adjusted OR per SD log NT-proBNP 0.65, 95% CI 0.53-0.79), but not with other MetS components. Effect modification by sex, race, age, or body mass index was not observed.

NT-proBNP was inversely associated with odds of diabetes, MetS, and the MetS dysglycemia component. The metabolic implications of B-type natriuretic peptides appear important for glycemic homeostasis.

Global evidence has shown rising trends in the prevalence of cardiometabolic risk factors. Whether the same trends are observed according to body mass index (BMI) cut-offs is unknown, though critical to focus on specific BMI populations.

We conducted a pooled analysis of national health surveys in Peru, grouped into three-year periods (2015-17 [n = 97,079], 2018-20 [n = 98,540], 2021-23 [n = 94,850]). BMI (kg/m²) was classified into four categories: normal weight (18-24.9), overweight (25-29.9), obesity I (30-34.9), and obesity II (≥35). For each period-BMI category, we computed the age-sex-standardized prevalence of cardiometabolic risk factors: raised blood pressure with and without self-reported antihypertensive treatment, self-reported diabetes with and without treatment, daily smoking, alcohol consumption in the last month, and fruits/vegetables consumption in the last week.

The proportion of people with raised blood pressure increased in the overweight and obesity groups, with the largest increase observed in the obesity II group (22 % relative increase). Diabetes prevalence rose substantially among normal weight (89 %) and overweight individuals (58 %). Smoking, alcohol, and fruit/vegetable consumption showed no major changes across BMI categories.

The prevalence of raised blood pressure has increased between 2015 and 17 and 2020-23, with greater increases observed in the overweight and obesity groups; conversely, the prevalence of self-reported diabetes has increased across BMI categories. These findings highlight the need for tailored interventions targeting both overweight/obese individuals and normal weight populations with diabetes risk.

The influence of duration of type 2 diabetes mellitus (T2DM) on the likelihood of developing new-onset dementia in post-stroke population is not well understood. Therefore, we aimed to clarify the relationship between the duration of T2DM and the risk of developing dementia in the post-stroke population.

Leveraging the Korean National Health Insurance Database, this study included 118,790 individuals with a history of stroke but no previous dementia diagnosis. We classified diabetes status into five categories: normoglycemia, impaired fasting glucose (IFG), newly diagnosed T2DM, and established T2DM with durations of less than 5 years and 5 years or more. The primary endpoint was the incidence of all-cause dementia.

Among 118,790 participants (average age 64.26 ± 9.95 years, 48% male), 16.7% developed dementia during an average follow-up of 7.3 ± 2.3 years. Participants with a history of T2DM for less than five years at cohort entry had a 26.7% higher risk of developing all-cause dementia compared to those with normoglycemia. Those with T2DM for five years or longer had a 46.7% increased risk, with an adjusted hazard ratio (aHR) of 1.466 (95% confidence interval [CI], 1.408-1.527). Specifically, the risk of developing Alzheimer's disease (AD) and vascular dementia (VaD) rose by 43.4% and 51.4%, respectively, for individuals with T2DM lasting more than five years (aHR 1.434, 95% CI 1.366-1.505; aHR 1.514, 95% CI 1.365-1.679, respectively).

Our findings demonstrated a significant association between an extended duration of T2DM and an increased risk of developing all-cause dementia, including AD and VaD in post-stroke population. These results emphasize proactive dementia prevention approaches in stroke survivors, particularly those with longstanding T2DM.

The atherogenic index of plasma (AIP) and systematic inflammation, as measured by high-sensitivity C-reactive protein (hsCRP), are predictors of diabetes, but their combined impacts on incident diabetes are poorly understood. Using a nationally representative cohort in China, we aimed to investigate the association of AIP and hsCRP with incident diabetes among middle-aged and elderly adults.

This cohort comprised 9,112 participants aged at least 45 years from 125 cities in the China Health and Retirement Longitudinal Study who were free of diabetes at baseline in 2011. Of these, 5,048 participants were followed up until 2015. The AIP was calculated as Log10[TG (mg/dL)/HDL-C(mg/dL)]. Multivariate logistic regression and linear mixed-effect (LME) models were performed to evaluate the associations of AIP, hsCRP, and incident diabetes as well as glycemic biomarkers. Receiver operating characteristic (ROC) curves were used to evaluate their diagnostic values. We conducted a mediation analysis to assess the direct and indirect associations between AIP and hsCRP with diabetes.

489 (9.7%) cases developed diabetes during four years. Higher levels of AIP and hsCRP were independently associated with diabetes. Compared to the lowest quartile of AIP or hsCRP, the highest quartile of AIP (adjusted odds ratio, aOR 2.53, 95% CI: 1.90-3.38) and hsCRP (aOR 2.38, 1.79-3.16) was significantly associated with incident diabetes. The joint effects showed that participants with higher levels of AIP and hsCRP had significantly higher aOR of 2.76 (2.13-3.57). The LME models showed AIP and hsCRP were related to an increased level of fasting blood glucose and glycated hemoglobin. The combination of AIP and hsCRP has better predictive efficacy (area under the curve, AUC: 0.628, 0.601-0.654) for incident diabetes than alone. Mediation analyses showed that high AIP significantly mediated 25.4% of the association between hsCRP and diabetes, and hsCRP simultaneously mediated 5.7% of the association between AIP and diabetes.

This cohort suggests combined effects and mutual mediation between the AIP and hsCRP on incident diabetes in China. Our findings provide clinical implications for monitoring and managing AIP and hsCRP levels to mitigate the development of diabetes.

Sarcopenia, characterized by loss of muscle mass and strength, has been linked to various health outcomes, including diabetes mellitus. This study aims to investigate the association of sarcopenia index, based on serum creatinine and cystatin C levels, with incident diabetes mellitus in middle-aged and older adults in China.

This study extracted data from 2015 to 2020 China Health and Retirement Longitudinal Study (CHARLS), including age ≥ 45-year adults without diabetes mellitus at baseline. Sarcopenia index was calculated based on serum creatinine and cystatin C levels, and incident diabetes mellitus was assessed through follow-up surveys. Cox proportional hazards regression models were used to analyze the association between sarcopenia index and incident diabetes mellitus, adjusting for potential confounders, with hazard ratio (HR) with 95% confidence interval (95% CI) reported.

During a mean follow-up period of 5.0 years, a total of 501 new cases of diabetes were recorded. A total of 7718 participants were included in the analysis. The median age was 60 years, and 46.2% were male. During a mean follow-up period of 5.0 years, 501 cases of incident diabetes mellitus were identified. After adjusting for covariates, Compared with participants in the lowest quartile, the corresponding diabetes HRs (95% CIs) for participants in the second, third, and fourth quartiles were 0.930 (95% CI 0.724-1.193; P = 0.567); 0.892 (95% CI 0.685-1.162; P = 0.398), 0.869 (95% CI 0.657-1.150; P = 0.327). Restricted cubic spline curves revealed that incident rate decreased with increase in sarcopenia index.

This study provides national longitudinal evidence in China on the association of sarcopenia index, based on serum creatinine and cystatin C levels, with incident diabetes mellitus in middle-aged and older adults. Our findings suggest that sarcopenia index may be a useful biomarker for predicting the risk of diabetes mellitus in this population.

Early diagnosis and timely treatment of diabetes are critical for effective disease management and the prevention of complications. Undiagnosed diabetes can lead to an increased risk of several health issues. Although numerous machine learning (ML) models have been designed to detect diabetes, many exhibit unsatisfactory performance, are not publicly available, and lack validation on external datasets. To address these limitations, we have developed REMED-T2D, an advanced ensemble ML approach that enhances predictive accuracy and robustness through the integration of diverse ML algorithms. Our approach involves a rigorous data preprocessing process and systematic evaluation of 20 different algorithms, encompassing both conventional ML and deep learning for diabetes prediction. Firstly, we applied an under-sampling approach to an imbalanced Pima Indian Diabetes dataset and generated five balanced datasets. Using these datasets, we investigated various computational strategies to select the optimal model for accurate diabetes classification. Our results demonstrate that REMED-T2D outperformed state-of-the-art methods on the training dataset, with notable improvements in ACC (1.40-4.60%) and MCC (3.50-9.80%). Extensive external validations revealed that the model trained on a five-feature subset achieved ACC of 92.61 % and 92.26 % on the RTML1 and Pabna datasets, respectively. Moreover, a model based on a seven-feature subset improved ACC by 2.80 % and MCC by 13.27 % on the RTML2 dataset. These results suggest the potential of REMED-T2D to predict diabetes in Asian females. Notably, this is the first study to conduct such a comprehensive analysis using the Pima dataset, incorporating a diverse set of ML algorithms. Furthermore, we have developed a publicly accessible web server (https://balalab-skku.org/REMED-T2D/) to facilitate self-monitoring and timely medical interventions. We believe REMED-T2D will assist healthcare professionals in detecting diabetes earlier and implementing preventive measures, ultimately improving health outcomes for those at risk.

The world is experiencing a sudden surge in urban population, especially in developing Asian and African countries. Consequently, the global burden of cardio-metabolic disease (CMD) is also rising owing to gut microbiome dysbiosis due to urbanization factors such as mode of birth, breastfeeding, diet, environmental pollutants, and soil exposure. Dysbiotic gut microbiome indicated by altered Firmicutes to Bacteroides ratio and loss of beneficial short-chain fatty acids-producing bacteria such as Prevotella, and Ruminococcus may disrupt host-intestinal homeostasis by altering host immune response, gut barrier integrity, and microbial metabolism through altered T-regulatory cells/T-helper cells balance, activation of pattern recognition receptors and toll-like receptors, decreased mucus production, elevated level of trimethylamine-oxide and primary bile acids. This leads to a pro-inflammatory gut characterized by increased pro-inflammatory cytokines such as tumour necrosis factor-α, interleukin-2, Interferon-ϒ and elevated levels of metabolites or metabolic endotoxemia due to leaky gut formation. These pathophysiological characteristics are associated with an increased risk of cardio-metabolic disease. This review aims to comprehensively elucidate the effect of urbanization on gut microbiome-driven cardio-metabolic disease. Additionally, it discusses targeting the gut microbiome and its associated pathways via strategies such as diet and lifestyle modulation, probiotics, prebiotics intake, etc., for the prevention and treatment of disease which can potentially be integrated into clinical and professional healthcare settings.

The aim of this study is to estimate the causally attributable one-year healthcare costs for individuals getting a type 2 diabetes diagnosis compared to a matched sample and show the incurred costs of medication and in primary and secondary healthcare.

Causal estimation using a difference-in-differences design to estimate the one-year health care costs attributable to type 2 diabetes. Danish registry data consisting of the entire population in years 2016-2019. Newly diagnosed individuals with type 2 diabetes in 2018 were identified using a validated method. Sociodemographic and historical health data were used to identify a matched control group. Individuals were followed for two years before and one year after the date of diagnosis using. Three cost components were analysed: medication and primary and secondary healthcare costs.

A total of 18,133 individuals were diagnosed with type 2 diabetes in 2018 and matched successfully 1:1 to a control group. The total attributable one-year cost of type 2 diabetes was EUR 1316. The main cost component was hospital care (EUR 1004) and primary care (EUR 167). The total attributable cost of incident diabetes in Denmark in 2018 was approx. EUR 24 million.

The majority of the first year health care cost of incident diabetes is incurred at the hospital level followed by primary care and medication. Our yearly cost estimate per newly diagnosed is considerably lower than estimates from the US and Australia.

Evaluate quantitative leakage parameters on ultrawidefield fluorescein angiography (UWF-FA) images and explore their association with Diabetic Retinopathy Severity Scale (DRSS), predominantly peripheral lesions (PPLs), visual acuity, and clinical characteristics.

A post hoc analysis of baseline UWF-FA images in the DRCR Retina Network observational study Protocol AA.

A total of 575 eyes from 384 adults across 38 sites in the United States and Canada with gradable UWF-FA.

A machine learning-enhanced feature extraction platform provided initial leakage segmentation of UWF-FA images sequentially reviewed and corrected by 2 certified readers for segmentation accuracy. Ultrawidefield fluorescein angiography leakage was measured in 5 retinal zones: panretinal (entire retina), central macular (3-disc diameter fovea-centered circle), posterior pole (6-disc diameter fovea-centered circle), peripheral (outside 6-disc diameter circle), and widefield far peripheral (outside 9-disc diameter circle); associations with clinical factors were evaluated with marginal beta regression models.

Ultrawidefield fluorescein angiography leakage index, calculated as the area with leakage divided by the analyzable retinal area.

The mean quantitative leakage index was 3.5% for panretinal, 6.6% for macular, 4.8% for posterior pole, 3.3% for peripheral, and 2.8% for widefield far peripheral retinal zones. Panretinal leakage was associated with DRSS (mean 2.2% for no to mild nonproliferative diabetic retinopathy [NPDR], 3.4% for moderate NPDR, 4.2% for moderately severe NPDR, 4.8% for severe NPDR, and 5.1% for proliferative diabetic retinopathy; P < 0.001), hemoglobin A1C (HbA1c) (3.2% for HbA1c < 8% vs. 3.8% for HbA1c ≥ 8%; P = 0.01 for continuous HbA1c), visual acuity (3.3% for 20/25 or better vs. 4.7% for 20/32 or worse; continuous P < 0.001), and UWF-FA-PPL types of intraretinal microvascular abnormality (4.3% vs. 3.3%; P = 0.005) or new vessels elsewhere (5.7% vs. 3.4%; P = 0.003). Diabetic retinopathy severity was also statistically significant for leakage within all retinal zones (P < 0.001); eyes with noncentral diabetic macular edema (DME) versus no DME had higher mean leakage in the central macular (11.2% vs. 5.9%; P = 0.005) and posterior pole regions (9.2% vs. 4.2%; P = 0.002).

Quantitative UWF-FA leakage analysis identified associations between leakage and DRSS, visual acuity, and presence of DME. In the future, quantitative UWF-FA leakage parameters may be explored as potential biomarkers for disease progression risk.

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

To identify, describe, and critically evaluate the effects of various interventions on diabetes management outcomes among Arabs with diabetes.

A systematic review.

The search was conducted across three databases: PubMed, CINAHL and the Cochrane Collaboration in December 2023.

Screening involved randomised controlled trials and nonrandomised studies that focused on the effects of interventions on diabetes management among Arab with diabetes. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist guided the review process. Two researchers independently applied eligibility criteria. Data extraction captured key study details, and methodological quality was assessed using Downs and Black's checklist. This review is registered with the International Prospective Register of Systematic Reviews (PROSPERO; registration number CRD42024555668).

Thirty-five articles were reviewed, yielding 65 outcomes. Effective interventions included personalised care, patient-centred education and direct patient contact through lifestyle modifications, advice, feedback, motivational conversations and calls. These approaches improved haemoglobin A1c, fasting blood glucose, physical activity and medication adherence. Conversely, nonpersonalised remote monitoring and social media interventions showed no significant improvements. Notably, tailored nutritional and physical activity advice positively impacted body mass index and systolic blood pressure among Arab women with diabetes.

The findings underscore the effectiveness of personalised care and direct patient contact in optimising diabetes management among Arabs with diabetes.

This review highlights the importance of prioritising direct patient contact over remote methods such as social media in interventions on diabetes management among Arabs with diabetes. It emphasises the need for culturally sensitive approaches, particularly for women.

No patient or public contribution, as this study constitutes a review of existing research.

Patients with diabetes are considered to be at high surgical risk due to the potential occurrence of cardiovascular and diabetes-related complications. Limited research exists on the cardiovascular risk profiles of patients with prediabetes and undiagnosed diabetes in noncardiac surgery. In this population-based cohort study, we investigated different glycated hemoglobin levels and their associated postoperative cardiovascular risks.

In this perioperative cohort study, participants were categorized into four groups: nondiabetes, prediabetes, undiagnosed diabetes, and diagnosed diabetes. The primary endpoint was the occurrence of major adverse cardiovascular events (MACE) at 30 days postoperatively, with secondary outcomes assessed at 90 days. The association between various groups and postoperative MACE was evaluated using Cox proportional hazards models and Kaplan-Meier curves. Subgroup analyses and sensitivity analyses were also performed.

We enrolled 13 207 eligible patients undergoing noncardiac surgeries, among whom 3841 (29.08%) had prediabetes and 1521 (11.52%) had undiagnosed diabetes. In the 30-day postoperative period, the prediabetes group (hazard ratio [HR] [95% CI]: 1.70 [1.15, 2.52]), undiagnosed diabetes group (HR [95% CI]: 2.36 [1.15, 3.68]), and diagnosed diabetes group (HR [95% CI]: 2.33 [1.54, 3.53]) exhibited increased risks of MACE compared to the nondiabetes group. Similar findings were observed for the 90-day postoperative MACE. Further subgroup analysis revealed a significant interaction between sex and states of glycemic regulation (P for interaction < 0.005).

In this cohort, a notable proportion of patients with prediabetes or undiagnosed diabetes were found to be undergoing noncardiac surgeries. They were associated with an increased risk of developing postoperative MACE.

To improve upon the estimation of 10-year cardiovascular disease (CVD) event risk for individuals without prior CVD or diabetes mellitus in the Asia-Pacific region by systematic recalibration of the SCORE2 risk algorithm.

The sex-specific and competing risk-adjusted SCORE2 algorithms were systematically recalibrated to reflect CVD incidence observed in four Asia-Pacific risk regions, defined according to country-level World Health Organization age- and sex-standardized CVD mortality rates. Using the same approach as applied for the original SCORE2 models, recalibration to each risk region was completed using expected CVD incidence and risk factor distributions from each region.

Risk region-specific CVD incidence was estimated using CVD mortality and incidence data on 8 405 574 individuals (556 421 CVD events). For external validation, data from 9 560 266 individuals without previous CVD or diabetes were analysed in 13 prospective studies from 12 countries (350 550 incident CVD events). The pooled C-index of the SCORE2 Asia-Pacific algorithms in the external validation datasets was .710 [95% confidence interval (CI) .677-.744]. Cohort-specific C-indices ranged from .605 (95% CI .597-.613) to .840 (95% CI .771-.909). Estimated CVD risk varied several-fold across Asia-Pacific risk regions. For example, the estimated 10-year CVD risk for a 50-year-old non-smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and high-density lipoprotein cholesterol of 1.3 mmol/L, ranged from 7% for men in low-risk countries to 14% for men in very-high-risk countries, and from 3% for women in low-risk countries to 13% for women in very-high-risk countries.

The SCORE2 Asia-Pacific algorithms have been calibrated to estimate 10-year risk of CVD for apparently healthy people in Asia and Oceania, thereby enhancing the identification of individuals at higher risk of developing CVD across the Asia-Pacific region.

Diabetes remains one of the most prevalent chronic diseases globally, significantly impacting mortality ratetables. The development of effective treatments for controlling glucose level in blood is critical to improve the quality of life of patients with diabetes. In this sense, smart optical sensors using hydrogels, responsive to external stimuli, have emerged as a revolutionary approach to diabetes care. In this study, changes in the optical properties of a hydrogel are employed for monitoring α-glucosidase activity, a critical enzyme involved in diabetes mellitus type II due to its role in breaking terminal α-glycosidic bonds, releasing α-glucose. The enzyme is encapsulated within a triazine-based hydrogel that exhibits intrinsic blue fluorescence. Upon hydrolysis of the substrate p-nitrophenyl-α-D-glucopyranoside (p-NPG) by α-glucosidase, the fluorescence is quenched due to the release of p-nitrophenol (PNP). However, when exposed to potential antidiabetic drugs, the enzyme's activity is inhibited, and the hydrogel's fluorescence remains intact. This ON/OFF fluorescence-based assay enables rapid screening of drug candidates by evaluating their ability to inhibit α-glucosidase enzymatic activity. Sensor optimization involves conducting swelling studies, fluorescent assays, reusability tests and a trial with a real antidiabetic drug. This innovative approach holds potential for enhancing antidiabetic drug screening and management, offering a more accessible and efficient solution compared to traditional biosensors.

Chronic kidney disease (CKD) due to type 2 diabetes mellitus (T2DM) has emerged as a significant global health burden, with rising incidence and prevalence rates observed over the past decades.

We utilized the latest data from the Global Burden of Disease Study (GBD) 2021. Firstly, we reported the number of incidence, prevalence, deaths, and Disability-Adjusted Life Years (DALYs) attributed to CKD due to T2DM, accompanied by their respective Age-Standardized Rates (ASRs), for the year 2021. This analysis encompassed a global perspective and was further stratified by various subtypes. Moreover, we examined trends globally and within specified sub-types to investigate the temporal dynamics of the ASRs. We estimated the percentage change in ASRs, providing a quantitative measure of the rate of change in the burden over the study period. Moreover, we utilized the Bayesian age-period-cohort (BAPC) model to forecast the future burden.

Globally, the ASRs of CKD due to T2DM all have witnessed a notable rise except for age-standardized prevalence rate (ASPR). The trends observed in both sexes and nearly all age groups were found to be congruent with those of the overall population. The increase in disease burden being greatest in the middle and lower SDI regions. The predicted results showed that the ASRs would still increase from 2022 to 2036.

This study highlights the critical importance of addressing the growing burden of T2DM-related CKD on global health. Effective prevention and management strategies, including improvements in diabetes care, renal health promotion, and access to healthcare services, are urgently needed to mitigate the future impact of T2DM-related CKD.

The preservation of islet β-cell function in elderly patients with type 2 diabetes mellitus (T2DM) is a top priority for diabetic control.

To assess the preservation of islet β-cell function among elderly Chinese patients with T2DM after different anti-diabetic treatments.

In this longitudinal observational study, elderly patients with T2DM treated with insulin, oral antidiabetic drugs or a combination of both were enrolled to disclose their islet β-cell function between baseline and follow-up. Islet β-cell function was determined by the plasma Homeostasis Model for β-cell function (HOMA-β), C-peptide and area under the curve (AUC) based on oral glucose tolerance test. Changes in β-cell function (decrement or increment from baseline) between different therapy groups were the outcomes.

In total, 745 elderly patients (≥ 60 years) with T2DM [insulin monotherapy, n = 105; oral anti-diabetic drugs (OAD) monotherapy, n = 321; insulin plus OAD, n = 319] had their baseline and follow-up β-cell function assessed during a median observation period of 4.5 years (range, 3.0-7.2 years). Overall, islet β-cell function (HOMA-β, fasting C-peptide, fasting insulin, AUCc-pep, AUCins, AUCc-pep/AUCglu, AUCins/AUCglu) consistently deteriorated over time regardless of the three different antidiabetic treatments. No statistical differences in decrement were observed among the three groups regarding the islet β-cell function indices. All three groups showed an increased ratio of delayed insulin secretion response after 4.5 years of observation.

In Chinese elderly patients with T2DM, islet β-cell function progressively declines regardless of insulin supplement or insulin plus OAD treatments.

The risk factors for type 2 diabetes mellitus (T2DM) have been increasingly researched, but the lack of systematic identification and categorization makes it difficult for clinicians to quickly and accurately access and understand all the risk factors, which are categorized in this paper into five categories: Social determinants, lifestyle, checkable/testable risk factors, history of illness and medication, and other factors, which are discussed in a narrative review. Meanwhile, this paper points out the problems of the current research, helps to improve the systematic categorisation and practicality of T2DM risk factors, and provides a professional research basis for clinical practice and industry decision-making.

This study examines the causal relationship between type 2 diabetes (T2D) and peripheral artery disease (PAD) and their potential mechanisms based on the analysis of the Gene Expression Omnibus database and 2-sample Mendelian randomization (MR). The first part involved a 2-sample MR study and a comprehensive meta-analysis. Differences in the results were assessed using inverse-variance weighting. Heterogeneity was examined using the Cochrane Q statistical test. The leave-one-out method was applied for sensitivity analysis. The potential horizontal pleiotropic effect was assessed using the MR-Egger intercept technique. The second part involved differential gene analysis and weighted gene coexpression network analysis. Subsequently, we overlapped and consolidated the results from the 2 parts to identify the key genes between them. MR analysis results suggested a statistically significant correlation between the incidence of PAD and T2D (odds ratio: 1.22, 95% confidence interval: 1.13-1.32, P = 3.74e-07). We anticipated a pivotal role for TCF7L2 in PAD and T2D. T2D was significantly associated with PAD risk. Simultaneously, the study deepened our understanding of the underlying mechanisms of both diseases, proposing TCF7L2 as a promising target.

Early prediabetes screening holds immense significance in decreasing the incidence of diabetes. Therefore, we aimed to evaluate the association of hepatic enzymes with prediabetes and diabetes in the Azar cohort population in Iran.

This cross-sectional study utilized data from the Azar cohort study, initiated in 2014, with 14,865 participants aged 35-70 years. This study defines prediabetes, according to the American Diabetes Association (ADA), as fasting blood sugar (FBS) of 100-125 mg/dl. An FBS ≥ 126 mg/dL or a history of diabetes indicates diabetes. Serum liver enzymes including alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transferase (GGT), and alkaline phosphatase (ALP) were measured, and associations with prediabetes and diabetes were analyzed using binary logistic regression.

In a study of 14,865 participants, 16% had prediabetes and 14.1% had diabetes. The serum levels of ALT, AST, GGT, and ALP were significantly higher (P < 0.05) in the prediabetic and diabetic patients. The adjusted logistic regression model showed a dose-response increase for all hepatic enzymes, with the highest ORs in the fourth quartile for both prediabetes and diabetes. The highest OR for prediabetes and diabetes was in the fourth GGT quartile.

Our findings suggest that serum ALT, GGT, and ALP levels are strongly associated with prediabetes and diabetes. These hepatic enzymes may be considered easy and valuable early indicators of diabetes risk, prompting timely interventions to slow disease progression.

According to the IDF Diabetes Atlas regularly published by International Diabetes Federation, the prevalence of diabetes and impaired glucose tolerance (IGT), diabetes-related mortality and health expenditure are becoming serious eventually at the global, regional and national level. While the data alarm people, the exact cause remains unknown. It is widely accepted that glucose metabolism can be impaired by circadian rhythms disruption and sleep disturbances, both closely linked to exposure to light at night. However, there is little direct experiment on primates to study the precise extent of how serious bright sleeping environment at night impairs glucose metabolism, what the relationship is between nocturnal brightness and the development of diabetes and IGT, any difference between male and female, and whether aging and weight are involved. This study aims to address these questions in monkeys.

In a reduced daytime bright condition resembling human living rooms, 197 Cynomolgus (130 male, 67 female) were exposed to three distinct light intensities (13, 35, 75Lux) at night for consecutive ten months. Animals were retrospectively divided into four groups according to glucose metabolic status by the end of the experimental session, spontaneous diabetes mellitus (SDM, N=11), light-induced diabetes (LID, N=83), impaired fasting glucose tolerance (IFG, N=36), and normal glucose tolerance (NGT, N=67). Data pertaining to the glucose metabolism such as concentrations of fasting glucose, glycosylated hemoglobin, plasma insulin and C-peptide were collected monthly and analyzed.

1) Bright night exasperated glucose metabolism in individuals with pre-existing diabetes, led to premature death; 2) Stronger white light intensity-dependently induced diabetes and IFG in previous healthy monkeys: the brighter the light, the quicker the metabolism disturbance and IFG developed, and also the higher morbidity of LID and IFG; 3) Exposure to nocturnal light had a synergistic impairing effect on glucose metabolism with aging and weight. 4) Female were more susceptible to night brightness.

Light in sleeping environment exacerbates glucose metabolism in individuals with pre-existing diabetes, leads to IFG and diabetes in healthy primates. Moreover, the harmful effects of bright night on glucose metabolism are synergistic with aging and weight.

Diabetes mellitus (DM) and its various complications, including diabetic nephropathy, retinopathy, neuropathy, cardiovascular disease, and ulcers, pose significant challenges to global health. This review investigates the potential of procyanidins (PCs), a natural polyphenolic compound, in preventing and managing diabetes and its complications. PCs, recognized for their strong antioxidant, anti-inflammatory, and anti-hyperglycemic properties, play a crucial role in reducing oxidative stress and enhancing endothelial function, which are essential for managing diabetic complications. This review elucidates the molecular mechanisms by which PCs improve insulin sensitivity and endothelial health, thereby providing protection against the various complications of diabetes. The comprehensive analysis underscores the promising therapeutic role of PCs in diabetes care, indicating the need for further clinical studies to confirm and leverage their potential in comprehensive diabetes management strategies.

Human height prediction based on genetic factors alone shows positive correlation, but predictors developed for one population perform less well when applied to population of different ancestries. In this study, we evaluated the utility of incorporating non-genetic factors in height predictors for the Han Chinese population in Taiwan. We analyzed data from 78,719 Taiwan Biobank (TWB) participants and 40,641 Taiwan Precision Medicine Initiative (TPMI) participants using genome-wide association study and multivariable linear regression least absolute shrinkage and selection operator (LASSO) methods to incorporate genetic and non-genetic factors for height prediction. Our findings establish that combining birth year (as a surrogate for nutritional status), age at measurement (to account for age-associated effects on height), and genetic profile data improves the accuracy of height prediction. This method enhances the correlation between predicted and actual height and significantly reduces the discrepancies between predicted and actual height in both males and females.

We aimed to analyze the presence and extent of coronary artery disease in patients with newly detected diabetes mellitus.

Clinical health examinations of asymptomatic community-dwelling adults between 2008 and 2018 at a medical center in Taiwan were reviewed. Coronary computed tomography angiography was performed in 444 participants, of which 338, 54, and 52 were categorized as 'without diabetes mellitus', 'newly detected diabetes mellitus', and 'known diabetes mellitus', respectively.

Prevalence of significant coronary artery disease (≥ 50% stenosis) was higher in participants with newly detected diabetes mellitus than in participants without diabetes mellitus (40.7% vs. 20.1%, p < 0.0001). Among those with coronary artery stenosis, the number of coronary vessels with significant obstruction (0.72 vs. 0.42, p = 0.0147) was also higher in participants with newly detected diabetes mellitus. Using multiple logistic regression analysis, new detection of diabetes mellitus was identified as an independent risk factor for significant coronary artery disease (odds ratio: 2.153, 95% confidence interval: 1.112-4.166).

Asymptomatic patients with newly detected diabetes mellitus had higher prevalence and greater extent of coronary artery disease than those without diabetes mellitus. More attention should thus be paid to the assessment of coronary artery disease in patients with newly detected diabetes mellitus.

Painful diabetic neuropathy (PDN) is one of the most common complications of diabetes. Recent studies suggested that gut microbiota dysbiosis contributes to the development of PDN, but underlying mechanisms remain elusive. In this study, we found decreased probiotics generating bacteria such as Lactobacillus and Bifidobacterium strains in the PDN rats. Supplementation with multiple probiotics for 12 weeks alleviated pain, reversed nerve fiber lesions, and restored neuronal hyperexcitability. Probiotics administration effectively attenuated intestinal barrier impairment, reduced serum lipopolysaccharide and proinflammatory cytokines, and mitigated disruptions in the blood-nerve barrier. Furthermore, probiotics treatment inhibited the activation of the TLR4/MyD88/NF-κB signaling pathway and reduced proinflammatory cytokines in the sciatic nerve of the PDN rats. Together, our findings suggest that gut microbiota dysbiosis participates in PDN pathogenesis, and probiotics offer therapeutic potential via modulating the microbiota-gut-nerve axis.

Intracerebral haemorrhage (ICH) accounts for approximately 28% of all strokes worldwide. ICH has a high case fatality, and only few survivors recover to independent living. Over the past decades, demographic changes, and changes in prevalence and management of risk factors may have influenced incidence. Widespread implementation of stroke units and improved care in general may have affected case fatality and outcome. We aimed to update the evidence on incidence, case fatality, and functional outcome of ICH, according to age, sex, and country income level.

We systematically searched PubMed and Embase from 2008 to April 2023 for prospective population-based studies on incidence, case fatality, or functional outcome of first-ever ICH. We excluded studies in which less than 80% of cases was confirmed with imaging or autopsy. Quality of the studies was assessed based on the used case finding methods. We used inverse variance-based random-effects meta-analyses to pool the crude incidence, case fatality at 1 month, and the percentage of patients with good functional outcome after 3, 6, or 12 months, as defined by the authors of the individual studies. Time trends were assessed using weighted linear meta-regression. Funnel plots were constructed to study publication bias. The review was registered on PROSPERO (CRD42023413314).

We identified 70 eligible studies, describing 19,470 ICH patients from 26 different countries. Of these, 62 studies reported on crude incidence, 41 on case fatality, and 10 on functional outcome. Overall crude incidence was 29.2 per 100,000 person-years (95% CI 23.3-36.4; I2 = 100%). Incidence was lower in women than in men and increased with age. Incidence was highest in lower-middle income countries, followed by high and upper-middle income countries. Case fatality at 1 month was 35.5% (95% CI 32.3-38.9; I2 = 90%). The percentage of patients with good functional outcome (mRS 0-2 in nine studies, mRS 0-3 in one) after 3-12 months was 31.2% (95% CI 24.7-38.6; I2 = 76%). We found no time trends in incidence, case fatality, or functional outcome.

Our results demonstrate the persistently high burden and devastating consequences of ICH, stressing the need for better preventive strategies and acute treatments.

None.

Type 2 diabetes mellitus (T2DM) remains one of the major causes of morbidity and mortality worldwide, including Bangladesh. SIRT1, an NAD-dependent deacetylase, is involved in energy homeostasis and protects β-cells of the pancreas from oxidative stress. Single nucleotide polymorphisms (SNPs) in the SIRT1 gene have been found to be associated with T2DM in several populations, however, with conflicting results. The aim of this present case-control study, along with the meta-analysis, was to elucidate the association of rs3758391 polymorphism with the susceptibility to T2DM in Bangladeshi population.

72 T2DM patients and 90 healthy controls were enrolled in our study and polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was employed for genotyping the SNP. Odds ratio (OR) with 95% confidence interval (95% CI) was used to represent the association of SIRT1 polymorphism with T2DM. For the meta-analysis six studies were included and pooled odds ratio with 95% CI were calculated for six genetic models using the random effects model. Heterogeneity and publication bias was also calculated for each study.

A significant association was found between rs3758391 polymorphism and increased risk of T2DM under codominant TT versus CC (OR = 3.88, 95% CI = 1.34-11.25, p = 0.012), recessive TT versus CC + CT (OR = 2.83, 95% CI = 1.12-7.09, p = 0.027) and allelic T versus C (OR = 1.67, 95% CI = 1.07-2.60, p = 0.024) genetic models. However, no significant association between rs3758391 and other biochemical and anthropometric parameters were found. Our meta-analysis showed no statistically significant association of this polymorphism.

We conclude that, polymorphism at rs3758391 of SIRT1 gene conferred an increased risk of T2DM in Bangladeshi population.

The decline in human reproductive and metabolic health over the past 50 years is associated with exposure to complex mixtures of anthropogenic environmental chemicals (ECs). Real-life EC exposure has varied over time and differs across geographical locations. Health-related issues include declining sperm quality, advanced puberty onset, premature ovarian insufficiency, cancer, obesity, and metabolic syndrome. Prospective animal studies with individual and limited EC mixtures support these observations and provide a means to investigate underlying physiological and molecular mechanisms. The greatest impacts of EC exposure are through programming of the developing embryo and/or fetus, with additional placental effects reported in eutherian mammals. Single-chemical effects and mechanistic studies, including transgenerational epigenetic inheritance, have been undertaken in rodents. Important translational models of human exposure are provided by companion animals, due to a shared environment, and sheep exposed to anthropogenic chemical mixtures present in pastures treated with sewage sludge (biosolids). Future animal research should prioritize EC mixtures that extend beyond a single developmental stage and/or generation. This would provide a more representative platform to investigate genetic and underlying mechanisms that explain sexually dimorphic and individual effects that could facilitate mitigation strategies.

Pregnancy zone protein (PZP) is an antiprotease-resistant immunosuppressant belonging to the α-macroglobulin (αM) protein family. PZP is secreted by the liver and was found to be upregulated in plasma during pregnancy. α-2-macroglobulin (Α2M) shares 71 % serial homology with PZP, but low PZP levels do not lead to increased A2M levels in pregnancy. PZP can interact with several factors such as low-density lipoprotein receptor-associated protein (LRP), transforming growth factor-β (TGF-β), 78 kDa glucose-regulated protein (GRP78), and glycoside A (GdA). PZP is involved in the development of glycolipid metabolism disorders, bronchiectasis, Alzheimer's disease (AD), rheumatoid arthritis (RA), myocardial infarction (MI) and inflammatory bowel disease (IBD). PZP is also associated with the progression of tumorigenesis such as breast cancer (BC), homologyepatocellular carcinoma (HCC), lung adenocarcinoma (LAC), and colorectal cancer (CRC). Therefore, this review analyzes the role of PZP in pathophysiology of various diseases.

Although laser refractive surgeries and multifocal intraocular lens implantation are generally avoided in patients with diabetic retinopathy, a substantial proportion of well-glycaemic-controlled type 2 diabetes mellitus patients are considered for these procedures. Pupil dynamics play a significant role in determining postoperative satisfaction in these patients.

To evaluate pupillary dynamics in patients with and without diabetes following uneventful phacoemulsification surgery.

This retrospective study involved 86 patients with type-2 diabetes and 41 non-diabetic patients undergoing phacoemulsification. Pupillary measurements were performed using the Sirius Topographer (CSO, Firenze, Italy) preoperatively and at the 1-month and 3-month postoperatively. Diabetic patients were categorised into non-diabetic retinopathy (without diabetic retinopathy), non-proliferative diabetic retinopathy (NPDR), and proliferative diabetic retinopathy (PDR) subgroups based on the presence and severity of diabetic retinopathy. Baseline and postoperative pupillometric values were then evaluated for all groups.

Preoperatively, baseline scotopic, mesopic, and photopic pupil diameters, and pupil redilation velocity were smaller in the NPDR and PDR subgroups compared to the control group (p < 0.05, for all). At 1-month postoperatively, pupil diameters in all lighting conditions significantly decreased in both the control and non-diabetic retinopathy groups (p < 0.05, for all), while pupil dilation rate increased (p = 0.011 and p = 0.002, respectively). In the PDR group, a significant increase in photopic pupil diameter was observed at 1 and 3 months postoperatively (p = 0.018 and p = 0.030, respectively). The PDR and NPDR groups showed a significant decrease in postoperative first- and third-month scotopic pupil diameter (p < 0.05, for all).

Pupil diameter was smaller in diabetic patients compared to controls pre-and postoperatively. Patients with non- diabetic retinopathy and NPDR, who already exhibited smaller pupil diameters in all lighting conditions than the controls (in mesopic condition, 3.54 cf. 3.66, and 3.11 cf. 3.66 mm, respectively), experienced a further reduction in pupil size following phacoemulsification.

The global increase of overweight and obesity in children and adults is one of the most prominent public health threats, often accompanied by insulin resistance, hypertension, and dyslipidemia. The simultaneous occurrence of these health problems is referred to as metabolic syndrome. Various criteria have been proposed to define this syndrome, but no general consensus on the specific markers and the respective cut-offs has been achieved yet. As a consequence, it is difficult to assess regional variations and temporal trends and to obtain a comprehensive picture of the global burden of this major health threat. This limitation is most striking in childhood and adolescence, when metabolic parameters change with developmental stage. Obesity and related metabolic disorders develop early in life and then track into adulthood, i.e., the metabolic syndrome seems to originate in the early life course. Thus, it would be important to monitor the trajectories of cardio-metabolic parameters from early on. We will summarize selected key studies to provide a narrative overview of the global epidemiology of the metabolic syndrome while considering the limitations that hinder us to provide a comprehensive full picture of the problem. A particular focus will be given to the situation in children and adolescents and the risk factors impacting on their cardio-metabolic health. This summary will be complemented by key findings of a pan-European children cohort and first results of a large German adult cohort.

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder that significantly impairs muscle regeneration following injuries, contributing to numerous complications and reduced quality of life. There is an urgent need for therapeutic strategies that can enhance muscle regeneration and alleviate these pathological mechanisms. In this study, we evaluate the therapeutic efficacy of W-GA nanodots, which are composed of gallic acid (GA) and tungstate (W6+), on muscle regeneration in type 2 diabetes mellitus (T2D)-induced muscle injury, with a focus on their anti-inflammatory and antioxidative effects.

This study synthesized ultrasmall W-GA nanodots that were optimized for improved stability and bioactivity under physiological conditions. In vitro assessments included cell viability, apoptosis, reactive oxygen species (ROS) generation, and myotube differentiation in C2C12 myoblasts under hyperglycemic conditions. In vivo, T2D was induced in C57BL/6 mice, followed by muscle injury and treatment with W-GA. Muscle repair, fibrosis, and functional recovery were assessed through histological analysis and gait analysis using the CatWalk system.

The W-GA nanodots significantly enhanced muscle cell proliferation, decreased ROS, and reduced apoptosis in vitro. In vivo, compared with the control group, the W-GA-treated group exhibited notably improved muscle regeneration, decreased fibrosis, and enhanced functional recovery. The treatment notably modulated the inflammatory response and oxidative stress in diabetic muscle tissues, facilitating improved regenerative dynamics and muscle function.

W-GA nanodots effectively counter the pathological mechanisms of diabetic myopathy by enhancing regenerative capacity and reducing oxidative stress and inflammation. This nanomedicine approach offers a promising therapeutic avenue for improving muscle health and overall quality of life in individuals suffering from T2D. However, further studies are needed to explore the clinical applications and long-term efficacy of these nanodots in preventing diabetic complications.

To evaluate time trends in the incidence and prevalence of neovascular age-related macular degeneration (nAMD) and its treatments, associated factors, and effects on vision in Finland during 2000-2017.

We used three nationwide health examination surveys representing the Finnish population aged 30 years or older. All three surveys were linked to the national care register covering nAMD diagnoses and intravitreal injections between 2000 and 2017. All three surveys included a health examination in which distance and near visual acuity (VA) were measured, as well as self-reported and register-based information on socio-demographic status and lifestyle, health care use, co-morbidities, and quality of life. The data included two cross-sectional time points in 2011 and 2017 and two 11 year longitudinal follow-ups during 2000-2011 and 2006-2017.

The incidence and prevalence of nAMD were two times higher in women than in men. The annual prevalence of nAMD increased from 0.51% to 0.70% and from 0.22% to 0.46% in treated nAMD between 2011 and 2017. Treated nAMD patients had an average of 4 intravitreal injections per treatment year. nAMD patients showed significantly poorer distance and near VA than persons without any AMD in 2011 and 2017 (p < 0.001). However, near VA was significantly better in 2017 than in 2011 among nAMD patients (p = 0.036). The duration of nAMD showed weak negative correlation with distance and near VA. After adjusting for age and sex, nAMD patients showed significantly higher univariable odds ratios for lower distance VA, low consumption of vegetables, living in central Finland, a higher number of hospitalisations per year, and older age compared with persons without any AMD.

Since nAMD is an increasing burden for public health with gender discrepancy and a detrimental impact on vision, we should better find patients who have a high risk of developing nAMD and try to optimise their preventive intervention. Once nAMD is developed, we should understand treatment and follow-up demands at the personalised level. The nationwide register data help us in those challenges.

Cardiovascular diseases (CVDs) are the leading cause of death globally. Demographic, behavioral, socioeconomic, health care, and psychosocial variables considered risk factors for CVD are routinely measured in population health surveys, providing opportunities to examine health transitions. Studying the drivers of health transitions in countries where multiple burdens of disease persist (eg, South Africa), compared with countries regarded as models of "epidemiologic transition" (eg, England), can provide knowledge on where best to intervene and direct resources to reduce the disease burden.

The EXPOSE (Explaining Population Trends in Cardiovascular Risk: A Comparative Analysis of Health Transitions in South Africa and England) study analyzes microlevel data collected from multiple nationally representative population health surveys conducted in these 2 countries between 1998 and 2017. Creating a harmonized dataset by pooling repeated cross-sectional surveys to model trends in CVD risk is challenging due to changes in aspects such as survey content, question wording, inclusion of boost samples, weighting, measuring equipment, and guidelines for data protection. This study aimed to create a harmonized dataset based on the annual Health Surveys for England to estimate trends in mean predicted 10-year CVD risk (primary outcome) and its individual risk components (secondary outcome).

We compiled a harmonized dataset to estimate trends between 1998 and 2017 in the English adult population, including the primary and secondary outcomes, and potential drivers of those trends. Laboratory- and non-laboratory-based World Health Organization (WHO) and Globorisk algorithms were used to calculate the predicted 10-year total (fatal and nonfatal) CVD risk. Sex-specific estimates of the mean 10-year CVD risk and its components by survey year were calculated, accounting for the complex survey design.

Laboratory- and non-laboratory-based 10-year CVD risk scores were calculated for 33,628 and 61,629 participants aged 40 to 74 years, respectively. The absolute predicted 10-year risk of CVD declined significantly on average over the last 2 decades in both sexes (for linear trend; all P<.001). In men, the mean of the laboratory-based WHO risk score was 10.1% (SE 0.2%) and 8.4% (SE 0.2%) in 1998 and 2017, respectively; corresponding figures in women were 5.6% (SE 0.1%) and 4.5% (SE 0.1%). In men, the mean of the non-laboratory-based WHO risk score was 9.6% (SE 0.1%) and 8.9% (SE 0.2%) in 1998 and 2017, respectively; corresponding figures in women were 5.8% (SE 0.1%) and 4.8% (SE 0.1%). Predicted CVD risk using the Globorisk algorithms was lower on average in absolute terms, but the pattern of change was very similar. Trends in the individual risk components showed a complex pattern.

Harmonized data from repeated cross-sectional health surveys can be used to quantify the drivers of recent changes in CVD risk at the population level.