Small glycemic increments (≤0.5 mmol/L) can exert suppressive actions on endogenous glucose production (EGP); however, it is unclear if this is an insulin-dependent or -independent process. Here, we performed a low-rate glucose infusion in control participants without diabetes and in people with type 1 diabetes (T1D) to better understand this phenomenon. Glucose kinetics, hormones, and metabolites were measured during a 1 mg/kg/min glucose infusion (90 min), which rapidly increased glucose by ∼0.3 mmol/L in control participants. Insulin concentrations and secretion quickly increased by ∼20%, resulting in a ∼40% suppression of EGP, while glucose disposal remained unchanged. Free fatty acids (FFAs) and glucagon were gradually suppressed to ∼30% below baseline at 60 min. When repeated under constant basal insulin concentrations in participants with T1D, glucose infusion caused only partial and transient EGP suppression; hence, glucose increased in a near-linear manner, reaching levels ∼2 mmol/L above baseline at 90 min. FFAs and glucagon remained unchanged, while glucose disposal modestly increased. This demonstrates that small glycemic increments exert subtle stimulatory effects on insulin secretion that have potent metabolic actions on the liver and adipose tissue. It is conceivable that subtle increases in glucose could potentially serve as a signal for β-cell adaptation.

Small glycemic increments (≤0.5 mmol/L [≤9 mg/dL]) can suppress endogenous glucose production (EGP), but it is unclear if this depends on insulin. We conducted a low-rate glucose infusion in control participants and people with type 1 diabetes to determine the metabolic impact of minor glucose elevations and their reliance on insulin secretion. Healthy β-cells responded to subtle blood glucose elevations with small, physiologically relevant increases in insulin secretion that suppress EGP and lipolysis without stimulating glucose disposal. Small glycemic increments exerted potent insulin-dependent effects on liver and adipose tissue metabolism and could potentially serve as a β-cell adaptation signal.

Anemia is common in diabetes patients, but its prevalence in pre-diabetes remains under-researched. Therefore, we aimed to investigate the incidence of anemia and potential risk factors in individuals with impaired fasting glucose using health examination data.

A cohort of 7075 participants, all aged over 18 years and free of anemia at baseline, were included in this study to monitor the incidence of anemia through annual routine health check-ups. Cox regression models were used to estimate the age- and sex-adjusted hazard ratios of each risk factor.

The incidence of anemia among patients with impaired fasting glucose was 7.04 (95%CI: 6.08-8.00) per 1000 person-years overall, with a gender-specific incidence of 4.24 (95%CI: 3.37-5.10) and 15.21 (95%CI: 12.45-18.02) per 1000 person-years in men and women. COX regression analysis identified that female, lower levels of TC, LDL-C, ALT, AST, ALB, and alcohol drinking were associated with higher risk of anemia in individuals with impaired fasting glucose.

In individuals with impaired fasting glucose, anemia incidence differed by gender and age, being higher in women than men and surpassing that of the general Chinese population. Furthermore, lower levels of TC, LDL-C, ALT, AST, ALB, and alcohol drinking were associated with higher risk of anemia in individuals with impaired fasting glucose.

Previous studies have mainly explored the effects of body mass index (BMI) and triglyceride-glucose index (TyG index) on cardiovascular disease (CVD) separately or by examining the composite parameter (TyG-BMI) formed by multiplying the two and its association with CVD. However, few studies have investigated the combined effect of BMI categories and the TyG index on CVD. This study aimed to determine the association of BMI categories combined with the TyG index in new-onset CVD. A total of 94,002 participants were included from the Kailuan study. Their BMI combined with the TyG index was categorized into six groups: Low-BMI/Low-TyG, Middle-BMI/Low-TyG, High-BMI/Low-TyG, Low-BMI/High-TyG, Middle-BMI/High-TyG, and High-BMI/High-TyG. A multifactorial Cox proportional hazards model was used to analyze the longitudinal association between BMI combined with the TyG index and new-onset CVD events. During a follow-up period of 15.95 ± 3.59 years, 9791 new CVD events were recorded. After adjusting for confounding factors such as sex, age, smoking, drinking, physical activity, systolic blood pressure, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, uric acid, high-sensitivity C-reactive protein, antihypertensive drugs, hypoglycemic drugs, and lipid-lowering drugs, Cox regression analysis showed that the risk of CVD events was 52% higher in the High-BMI/High-TyG group (HR: 1.52; 95% CI 1.42-1.64) compared to the Low-BMI/Low-TyG group. The combination of high BMI (≥ 28.0) and high TyG index (> 8.58) significantly increases individual CVD risk. This study suggests that the combination of BMI and the TyG index may better help identify individuals at risk of developing CVD.

The increasing prevalence of multiple chronic diseases in aging populations presents a serious public health concern. Hypertension, as one of the most common chronic conditions, is frequently observed alongside other chronic diseases such as diabetes, obesity, and dyslipidemia. Physical activity is widely acknowledged to be associated with the prevention and management of chronic diseases. However, few studies have examined how different Physical activity behaviors are associated with specific multimorbidity patterns involving hypertension. This study aimed to identify the patterns of association between physical activity status and co-occurring chronic conditions among hypertensive individuals in middle-aged and older adults in South Korea, using association rule analysis.

Our study utilized data from the Korean National Health and Nutrition Examination Survey (2016-2021), involving 21,043 participants aged 45 years and older. A total of 25 chronic diseases were included as related variables for the analysis using association rule mining.

In the middle-aged and elderly population in South Korea, hypertension has the highest prevalence among all chronic diseases, with a rate of 45%. Our association rule analysis identified a total of nine chronic conditions as antecedents, with diabetes, obesity, and dyslipidemia being the most frequently observed. Furthermore, a subgroup comparison revealed that the number of association rules identified in the 'physically inactive' group (25 rules) was higher than that in the 'physically active' group (17 rules), and the overall confidence levels in the 'inactive' group were also higher. In terms of the frequency of antecedents, stroke, cardiovascular disease, and arthritis showed the largest increases.

Adequate physical activity is vital for preventing and managing hypertension and reducing its comorbidities, particularly high-mortality conditions like cardiovascular disease and stroke. Promoting lifestyle changes and monitoring metabolic indicators can significantly lower hypertension incidence, improve quality of life, and reduce mortality.

We have reported that a 9SNPs type 1 diabetes (T1D) Genetic Risk Score (GRS) developed from European data had a lower power in Indians to distinguish T1D from type 2 diabetes (T2D). We explore the performance of an improved (67SNPs) T1DGRS and also the potential reasons for lower discriminative ability to classify types of diabetes in Indians.

We studied the discriminative ability of a 67SNPs European T1DGRS in 611 clinically diagnosed T1D and 1153 T2D patients, and 321 non-diabetic controls, using receiver operating characteristic (ROC) area under the curve (AUC). We also compared the frequency and effect sizes of HLA risk haplotypes between Indians and Europeans.

The T1DGRS was discriminative of T1D from T2D and controls. However, the ability is lower in Indians than Europeans (AUC, Europeans 0.92, Indians all T1D 0.83, AA-positive 0.86). The T1DGRS was higher in AA-positive than in AA-negative persons [13.01 (12.79-13.23) vs. 12.09 (11.64-12.56)], p < 0.0001. The association of common HLA-DQA1 ~ HLA-DQB1 haplotypes was broadly similar; however, important differences were noted in the frequency, direction and magnitude of effect for some haplotypes between Indians and Europeans.

We confirm broad applicability of European 67SNPs T1DGRS to Indian T1D persons. However, differences in HLA allele frequencies, magnitude and directional differences reduced the predictive value. Our results stress the need to generate ancestry-specific GRS, which we plan to do in the near future.

To examine the relationship between body mass index (BMI) growth rates, body composition, and cardiometabolic markers in preschool children.

Three-year-old children were recruited for this cohort study. BMI and body composition measurements were obtained at enrollment, with multiple BMI measurements spanning ages 1 month to 3 years extracted from medical records. Levels of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, non-high-density lipoprotein cholesterol (non-HDL-C), remnant cholesterol (RC), uric acid (UA), and fasting plasma glucose were measured at 3 years. Data analyses employed piecewise linear mixed models and logistic regression models.

Out of 3822 children recruited, 3015 were included in the analysis. The accelerated BMI z-score growth rate between 6 and 24 months was positively correlated with high TG and LDL-C levels, with sex, birthweight, and size for gestational age disparities. Obesity increased the risks of high TG level and the highest RC quartile in boys. Fat mass index and percentage of fat mass were linked with high UA level and dyslipidemia, particularly high TG and non-HDL-C levels, in boys. Fat-free mass index showed negative associations with high levels of TC and non-HDL-C in boys and high LDL-C level in girls (P < .05).

This study underscores the significant impact of BMI growth rates and body composition on cardiometabolic markers in 3-year-old children. The effects of BMI growth rates in specific periods varied by sex, birthweight, and size for gestational age, and boys exhibited a higher susceptibility to adverse outcomes.

To evaluate the effect of impaired fasting glucose (IFG) and various anti-diabetic agents on the risk of incident major cardiovascular events (MACE) in patients with inflammatory arthritis (IA) including rheumatoid arthritis (RA) and psoriatic arthritis (PsA).

This was a population-based retrospective cohort study. Patient identification and data retrieval were conducted using a big data platform (The Hospital Authority Data Collaboration Lab) in Hong Kong. Patients with IA were recruited from Jan 2006 to Dec 2015 and followed up until the end of 2018. Time-dependent Cox proportional hazards regression models were used to analyze the association between fasting glucose (FG) levels and anti-diabetic drug use with MACE in IA patients.

A total of 13,905 patients (12,233 RA and 1,672 PsA) were included. 934 patients (6.7%) developed the first MACE after a total of 119,571 patient-years of follow-up. More patients in the MACE group had IFG (FG 5.6-6.9 mmol/l) (19.4% vs. 15.2%, p < 0.001) and FG ≥ 7 mmol/l (17.6% vs. 8.1%, p < 0.001) at baseline. In the subgroup of patients who were not taking any anti-diabetic medications, a prediabetic state was found to be independently associated with a higher risk of MACE (HR 2.43, 95%CI 1.97-2.99 in CRP model and HR 2.54, 95%CI 1.50-7.71 in ESR model). On the other hand, in patients with diabetes, sulfonylurea use increased the risk of MACE development by 55% (HR 1.55, 95%CI 1.14-2.09) after adjusting for other covariates.

In a large cohort of patients with IA, IFG and sulfonylureas use were found to be independently associated with an increased risk of incident MACE.

To investigate the association between the cumulative exposure to triglyceride-glucose index (cumTyG index) and fragility fractures in the general population.

This prospective cohort study analyzed active and retired employees of Kailuan Group who participated in three consecutive health examinations in 2006, 2008 and 2010, and were followed up until 31st December 2022. The cohort comprised 55,824 participants who met the inclusion and exclusion criteria and were grouped using the cumTyG index quartiles. The outcome event was onset fragility fracture. The cumulative incidence of fragility fracture in each group was calculated by the Kaplan-Meier method, and the incidence curve was plotted. Between-group comparisons were performed using the log-rank test. A Cox regression model was used to analyze the hazard ratio (HR) and 95 % confidence interval (CI) of fragility fractures.

Nine-hundred fragility fractures occurred during a mean follow-up of 11.35 years. After multivariate Cox regression analysis and adjustment for confounders (full model), the HR (95 % CI) of the group with the highest cumTyG index compared with the group with the lowest cumTyG index was 1.30 (1.04-1.61). The risk of fragility fracture was higher in men (HR 1.37, 95 % CI 1.06-1.77) and those taking antihypertensive drugs (HR 2.47, 95 % CI 1.25-4.86). There was a linear association between the cumTyG index and the risk of fragility fracture.

A high cumTyG index is a risk factor for fragility fracture and should be considered in the management of patients with high blood sugar and high cholesterol concentrations.

Impaired fasting glucose (IFG) is a precursor to type 2 diabetes and is influenced by dietary factors. This cross-sectional study assessed the association between major dietary patterns and IFG in the baseline phase of PERSIAN Kavar cohort study (PKCS).

The study included 3,144 participants aged 35-70 years. After assessing dietary intakes by a food frequency questionnaire, principal component analysis was used to identify dietary patterns. Logistic regression model was applied to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for the association between dietary patterns and IFG.

Three major dietary patterns were identified: healthy, Western-like, and CarnFat (Carnivorous-fat). In the fully adjusted model, individuals in the highest tertile of the healthy dietary pattern had a lower likelihood of IFG compared to those in the lowest tertile (OR = 0.68, 95% CI: 0.53-0.88). The second tertile of the healthy pattern was also associated with lower odds of IFG (OR = 0.77, 95% CI: 0.62-0.96). No significant associations were found for the Western-like and CarnFat dietary patterns.

A healthy dietary pattern characterized by high intakes of fruits, vegetables, low-fat dairy, nuts, seeds, olive oil, legumes, fish, and whole grains was associated with a lower risk of IFG. These findings highlight the importance of promoting healthy dietary patterns for the prevention of prediabetes and type 2 diabetes.

Introduction: In 2021, 10.5% of people aged 20-79 had diabetes, projected to rise to 12.2% by 2045, causing early deaths and straining healthcare systems. Musculoskeletal (MS) pain is common, affecting many workers and the general population. Prediabetes, notably impaired fasting glucose (IFG), is linked to increased MS pain risk. Objective: This study aims to assess IFG's impact on MS pain and specific pain sites to aid prevention strategies. Methods: This cross-sectional study used the '2023 Employee Occupational Safety and Health Management Database' from a Taichung hospital. It included health checks, demographics, living and work data, and MS pain surveys. Out of 2369 staff members contacted, 1039 valid responses were analyzed, excluding incomplete data, diabetes history, or fasting blood glucose levels above 125 mg/dL. Data on sex, age, marital status, coffee and alcohol consumption, sleep duration, exercise habits, height, weight, chronic diseases, profession, work hours, shift work, and education level were collected. Fasting blood glucose was verified using American Diabetes Association criteria (100-125 mg/dL). The Nordic Musculoskeletal Questionnaire (NMQ) measured MS pain frequency and severity, creating a pain degree index. Results: Overall, 21.17% had IFG. Participants were mostly female (85.18%), averaging 37.50 years. Neck and shoulder pain risk was linked to sex, coffee and alcohol consumption, sleep, exercise, chronic diseases, work hours, and IFG. Ankle pain risk was linked to coffee and alcohol consumption. IFG, coffee, alcohol, sleep under 6 h, chronic diseases, and work hours were independent risk factors for neck and shoulder pain. IFG was a risk factor for those without overweight or obesity. A mediation model tested IFG's indirect effect on neck and shoulder pain among overweight or obese individuals, showing that IFG mediates the relationship between being overweight or obese and increased neck and shoulder pain risk. Conclusions: Among female-dominated healthcare workers, IFG, daily coffee, recent alcohol consumption, less than 6 h of sleep, chronic diseases (excluding diabetes), and longer work hours are independent risk factors for neck and shoulder pain. IFG mainly affects these areas, increasing pain risk regardless of body weight. Healthy blood glucose levels are associated with a lack of musculoskeletal pain, suggesting a novel prevention approach needing further study.

The hemoglobin glycation index (HGI) represents the difference between the observed and predicted values of haemoglobin A1c (HbA1c). However, the association between HGI and prognosis of heart failure (HF) is not completely clarified yet and requires more investigation. This study aimed to explore the connection between HGI and mortality in HF patients.

The data for the study were derived from the MIMIC-IV database from 2008 to 2019, a publicly available clinical database in intensive care. A linear regression equation between HbA1c and fasting blood glucose (FBG) was established to calculate predicted HbA1c. The endpoints were 30-day and 365-day all-cause mortality. Kaplan-Meier analysis was utilized to compare survival rates across groups differentiated by their HGI levels. The Cox regression models and restricted cubic spline (RCS) analysis were utilized to analyze the association between HGI and mortality.

The study collected a total of 2846 patients with HF (40.1% male), of whom 305 patients (10.7%) died within 30 days and 954 patients (33.5%) died within 365 days. Kaplan-Meier curves revealed patients with higher HGI had significantly higher mortality risks (log-rank P < 0.001). A high HGI was significantly associated with 30-day mortality (adjusted HR [aHR]: 2.36, 95% CI: 1.74-3.20, P < 0.001) and 365-day mortality (aHR: 1.40, 95% CI: 1.16-1.68, P < 0.001) after adjustment for potential confounders. Likewise, each unit increase in the HGI correlated with a 1.42-fold higher risk of 30-day mortality (aHR: 1.42, 95% CI: 1.28-1.57, P < 0.001) and 1.19-fold higher risk of 365-day mortality (aHR: 1.19, 95% CI: 1.11-1.68, P < 0.001). RCS analysis suggested an L-shaped nonlinear association between HGI and clinical endpoints (P for nonlinearity < 0.001), with an inflection point value of - 1.295. Subgroup analysis and sensitivity analysis revealed that the correlation between HGI and 30-day and 365-day all-cause mortality remained consistent.

In ICU-admitted HF patients, HGI was independently associated with increased risks of 30-day and 365-day mortality and the identification of high HGI (> 0.709) provided a valuable tool for clinicians to detect high-risk populations. Integrating HGI into routine clinical practice might strengthen the prognosis-based decision making improve HF patient outcomes.

This study aimed to explore the influence of percent body fat (PBF) on the risk of developing prediabetes among Chinese individuals, given the limited evidence on this relationship. We conducted a retrospective cohort study involving 185,586 Chinese adults. We applied Cox proportional hazards regression models, cubic spline functions, and smooth curve fitting to analyze the relationship between initial PBF and the likelihood of prediabetes, focusing on its nonlinear connection. We conducted various sensitivity and subgroup analyses to strengthen our results. After adjusting for covariates, we found a positive correlation between PBF and the risk of prediabetes (HR = 1.13, 95% CI: 1.12-1.15, p < 0.0001). Moreover, a nonlinear correlation was identified between PBF and the likelihood of prediabetes, with a turning point at 29.5. On the left side of the turning point, the hazard ratio was 1.01 (95% CI: 0.99-1.03, p = 0.4128), while on the right side, it was 1.52 (95% CI: 1.45-1.59, p < 0.0001). Furthermore, sensitivity and subgroup analyses reaffirmed the robustness of these findings. Our research identified a nonlinear relationship between PBF and the development of prediabetes in the Chinese population, marked by a turning point at 29.5. Lowering PBF below 29.5 may reduce the risk of developing prediabetes.

Background and Objectives: Neuropeptide Y (NPY) family peptides and dipeptidyl peptidase-4 (DPP-4) are involved in gastrointestinal regulation and may contribute to obesity and type 2 diabetes mellitus (T2DM) pathophysiology. This study investigates their expression in jejunal muscular tissue and associations with gastrointestinal symptoms in patients with obesity, with (OB+/DM+) and without T2DM (OB+/DM-). Materials and Methods: This cross-sectional study includes forty-four patients undergoing laparoscopic Roux-en-Y gastric bypass divided based on T2DM status. Gastrointestinal symptoms were assessed using the Gastrointestinal Symptom Rating Scale (GSRS) questionnaire, and jejunal tissue samples were analyzed for DPP-4, NPY, peptide YY (PYY), and pancreatic polypeptide (PP) mRNA and protein levels. Results: DPP-4, NPY, PYY, and PP gene expression in jejunal muscular tissue was similar between groups. In the OB+/DM+ group, PP protein was higher, while DPP-4 and PYY were lower compared to the OB+/DM- group. Significant positive correlations between DPP-4 and NPY, PYY, and PP were found in the OB+/DM- group, while only DPP-4 and PYY correlated in the OB+/DM+ group. Gastrointestinal symptoms in the OB+/DM- group showed positive correlations with PP (abdominal pain), DPP-4 (indigestion), and NPY (constipation). Conclusions: The study demonstrates significant differences in DPP-4, PYY, and PP protein expression between patients with obesity, with or without T2DM. Peptide correlations with gastrointestinal symptoms in non-diabetic patients suggest distinct regulatory mechanisms, warranting further research.

Diabetic retinopathy (DR) is associated with abnormal lipid metabolism and inflammation. However, a single lipid or inflammatory parameter cannot accurately predict the prognosis of DR independently, because it is prone to be affected by various confounding factors. This study aimed to explore the relationship between the inflammation-lipid indicator C-reactive protein (CRP)/high-density lipoprotein cholesterol (HDL-C) and DR occurrence in subjects with type 2 diabetes mellitus (T2DM).

This hospital-based retrospective study included 784 T2DM patients. Diabetic retinopathy was diagnosed by nonmydriatic fundus photography and/or fundus examination apparatus. T2DM patients were divided into non-DR and DR groups. Demographics variables, clinical history and serum biochemical indicators of the subjects were collected. We also calculated the CRP/HDL-C ratio. The association between the CRP/HDL-C and DR was assessed using multivariate logistic regression analyses.

A total of 784 participants, 612 without DR and 172 with DR, were included in the final sample analysis. Compared with non-DR participants, the DR diagnostic group had significantly higher CRP/HDL-C (4.03 ± 1.67 vs. 2.66 ± 0.97; p < 0.001). Then, the patients were grouped based on the quartiles of CRP/HDL-C, there was a gradual increase in the prevalence of DR was noted in T2DM patients along with the increased quartile of the CRP/HDL-C ratio (Q1: 7.65%; Q2: 15.31%; Q3: 19.90%; Q4: 44.90%; p = 0.028). After adjustment for the impact of various covariates, the odds ratio (OR) of the third and fourth vs. the first quartile of CRP/HDL-C were 2.905 (95% confidence interval [CI]: 1.372 ~ 6.152, p = 0.005) and 9.938 (95% CI: 4.987 ~ 19.804, p < 0.001), respectively. Further, multivariate logistic regression model showed that the CRP/HDL-C ratio (OR 3.176, 95% CI: 1.280 ~ 7.877, p = 0.013) was identified as risk factor for DR. Moreover, the area under the curve (AUC) to evaluate the predictive value of CRP/HDL-C for the risk of DR occurrence was 0.752 (95% CI: 0.711 ~ 0.794).

The ratio of C-reactive protein (CRP) to high-density lipoprotein cholesterol (HDL-C) is associated with DR in patients with T2DM, and CRP/HDL-C may be an effective marker to help identify the risk of DR in patients with T2DM.

Posttransplantation diabetes mellitus (PTDM) is a form of diabetes developed after solid organ or stem cell transplantation. This condition shares physiopathological traits with type 2 diabetes, including insulin resistance and β-cells dysfunction and its prevalence varies significantly based on the diagnostic criteria used. Immunosuppressive drugs directly contribute to PTDM risk through intricate impacts on glucose regulation, insulin secretion, and inflammation. In addition, modifiable and non-modifiable environmental risk factors are associated with the onset of this condition. This review aims to provide a comprehensive overview of the multifactorial nature of PTDM in order to highlight candidate genes and variants for pharmacogenetic research. An extensive literature search was conducted to identify studies on pharmacological and genetic factors influencing PTDM development. This review stresses the importance of understanding these interactions for improving PTDM management and underscores the need for further research to refine preventive approaches, ultimately enhancing patient outcomes post-transplantation.

Proper nutrition and correct habits and behaviours are crucial elements in the treatment and prevention of hypertension or atherosclerosis. This study aims to assess the nutritional knowledge, dietary habits, and nutritional status of cardiology patients, particularly those with hypertension and atherosclerosis.

The study was conducted at St. Barbara Regional Specialized Hospital No. 5 in Sosnowiec from January to June 2021. It included 301 patients, 51.2% women (N = 154) and 48.8% men (N = 147), who were assessed for Body Mass Index, Nutritional Risk Score, and morphological and biochemical test results. Their knowledge and dietary habits were examined using a questionnaire and rating scale designed by the authors. While the study encompassed all cardiology patients, a subgroup analysis specifically examined individuals diagnosed with hypertension and/or atherosclerosis.

80% of the respondents showed above-normal body weight, while there were no significant differences in the risk of malnutrition according to the Nutritional Risk Score. The diet analysis revealed insufficient intake of fruits, vegetables, legumes, dairy, whole grains, and fish, while the consumption of salty snacks, sweetened beverages, energy drinks, and alcohol was low. Analysis of morphology and biochemistry results showed no significant differences between patients with atherosclerosis, hypertension, and others.

The study reveals insufficient nutritional knowledge and poor dietary habits among cardiology patients, highlighting the need for targeted education to improve dietary behaviours and reduce cardiovascular risks. Implementing nutrition-focused interventions in cardiology care could enhance patient outcomes. Future research should explore the long-term effects of dietary education and identify effective strategies for behavioural change in this population.

The global burden of diabetes is rising sharply, with a significant proportion of cases emerging in low- and middle-income countries (LMICs). Prediabetes, a condition characterized by elevated blood glucose levels that do not yet meet the threshold for diabetes, serves as a crucial stage for intervention and prevention. Despite its importance, comprehensive data on prediabetes prevalence in LMICs are sparse. Thus, we conducted a systematic review and meta-analysis to ascertain the prevalence of prediabetes in LMICs. We systematically reviewed studies on prediabetes in Low- and Middle-Income Countries (LMICs) from 1st January 2003 and 31st July 2024 using PubMed, Scopus, and Web of Science databases. The NIH study quality assessment tool assessed bias, and pooled prevalence was determined via a random-effects model. We examined publication bias through funnel plot analysis and Begg's and Egger's tests. The prevalence of prediabetes estimated from 164 studies conducted in LMICs was 13.1% (95% CI: 11.7%, 14.5%) based on the World Health Organization (WHO) criteria, and 27.0% (95% CI: 24.5%, 29.5%) based on the American Diabetes Association (ADA) criteria. The pooled prevalence did not significantly differ between males and females for both diagnostic criterias and by study design. The analysis indicated a noteworthy degree of heterogeneity in the pooled estimates (I2 > 70%; p < 0.05). The findings from this study indicated a higher burden of prediabetes within LMICs with regional variations.

The prognostic significance of hemoglobin glycation index (HGI) on acute ischemic stroke (AIS) patients treated with endovascular thrombectomy (EVT) remained unclear. This study aimed to investigate the association between HGI and the risk of poor outcome after EVT.

We retrospectively enrolled AIS patients with large vessel occlusion in the anterior circulation treated with EVT from a multicenter study. Poor outcome was defined as a modified Rankin scale score > 2 points at 90 days after EVT. We used multivariable logistic regression models to investigate the association between HGI and poor outcome. We employed the restricted cubic spline curve to visualize the association between HGI and the risk of poor outcome after EVT.

Among the 403 enrolled patients (median age, 72 years; 63.8% male), a total of 198 (49.1%) patients had poor outcome at 90 days. The restricted cubic spline curve showed that there was a U-shape relationship between HGI and the risk of poor outcome (P for non-linearity < 0.001). After divided patients into three groups based on HGI tertiles, HGI (tertile 1 vs. 2) was significantly associated with poor outcome [odds ratio (OR), 3.84; 95% confidence interval (CI), 2.08-7.22; P < 0.001] and early neurological deterioration (OR, 3.11; 95% CI, 1.55-6.44; P = 0.002) in multivariable analyses. Adding HGI into models improved the discriminative ability for poor outcome (P < 0.001).

In conclusion, our study identified a U-shaped relationship between HGI and poor outcome, with low HGI levels significantly associated with poor outcome after EVT.

Precise and timely forecasting of blood glucose levels is essential for effective diabetes management. While extensive research has been conducted on Type 1 diabetes mellitus, Type 2 diabetes mellitus (T2DM) presents unique challenges due to its heterogeneity, underscoring the need for specialized blood glucose forecasting systems. This study introduces a novel blood glucose forecasting system, applied to a dataset of 100 patients from the ShanghaiT2DM study. Our study uniquely integrates knowledge-driven and data-driven approaches, leveraging expert knowledge to validate and interpret the relationships among diabetes-related variables and deploying the data-driven approach to provide accurate forecast blood glucose levels. The Bayesian network approach facilitates the analysis of dependencies among various diabetes-related variables, thus enabling the inference of continuous glucose monitoring (CGM) trajectories in similar individuals with T2DM. By incorporating past CGM data including inference CGM trajectories, dietary records, and individual-specific information, the Bayesian structural time series (BSTS) model effectively forecasts glucose levels across time intervals ranging from 15 to 60 minutes. Forecast results show a mean absolute error of mg/dL, a root mean square error of mg/dL, and a mean absolute percentage error of , for a 15-minute prediction horizon. This study makes the first application of the ShanghaiT2DM dataset for glucose level forecasting, considering the influences of diabetes-related variables. Its findings establish a foundational framework for developing personalized diabetes management strategies, potentially enhancing diabetes care through more accurate and timely interventions.

Globally, obesity trends are a serious public health concern. Adolescent obesity is associated with cardiometabolic risk and metabolic disorders in adolescence and may persist into adulthood. The current study was designed to explore the Dietary Approaches to Stop Hypertension (DASH) in adolescents and its relationship with obesity, insulin resistance, metabolic syndrome (MetS), and some inflammatory biomarkers.

A total of 90 adolescents with obesity and 90 adolescents with normal weight, participated in the study. Data from a validated 168-item semi-quantitative food frequency questionnaire were used to calculate the DASH score. The association of DASH score with cardiometabolic risk factors was estimated using multivariable logistic regression models. To assess the correlation between the DASH score and dietary factor, the Pearson correlation coefficient (r) was used.

Adolescents with a high DASH score had significantly higher intakes of potassium, magnesium, vitamin C, and vitamin K and lower intakes of sodium compared with those with a low DASH score (P < 0.05 ). There were no significant differences in the DASH score and its components between adolescents with and without metabolic syndrome. Adolescents with metabolic syndrome had significantly higher concentrations of triglycerides, low HDL-C, and high blood pressure compared with those without metabolic syndrome (P < 0.05). There were no significant associations between DASH score and MetS and other cardiometabolic risk factors in crude and multivariate-adjusted models. In addition, the DASH score was positively associated with potassium, magnesium, sodium, vitamins D and C, docosahexaenoic acid, and soluble fiber (P < 0.05).

In the current study, there was no significant association between adherence to the DASH diet and odds of metabolic syndrome, and other cardiometabolic risk factors in adolescent. Further prospective studies are needed to confirm these findings.

Ethics approval was obtained from the research ethics committee of Tabriz University of Medical Sciences (IR.TBZMED.REC.1397.179.).

This study aimed to assess the prevalence of IH and diabetes, as well as insulin secretion, insulin sensitivity, and related curve patterns in subjects with different glucose tolerance categories according to the diagnostic criteria established by the American Diabetes Association (ADA) and the more recently published International Diabetes Federation (IDF) guidelines.

We used data of 5,387 adult participants from the Shanghai High-risk Diabetic Screen (SHiDS) study. All participants underwent a five-point 75 g oral glucose tolerance test (OGTT). Glycemic states were then classified according to the ADA/IDF diagnostic criteria, while OGTT-derived indices were employed to evaluate insulin secretion and sensitivity.

Overall, 3,729 subjects were diagnosed consistently under ADA/IDF criteria; while 941 and 717 subjects exhibited inconsistencies in the diagnostic classification for diabetes and IH, respectively. Notably, all of these individuals with discrepant diagnoses displayed β-cell dysfunction and/or insulin resistance compared to the NGT/NGT group.

The ADA criteria can identify individuals with elevated haemoglobinA1c (HbA1c) levels when the 1-hour plasma glucose (1-h PG) stay within the normal range, while the IDF criteria can identify subjects with impaired insulin sensitivity and secretion when fasting plasma glucose (FPG), 2-hour plasma glucose (2-h PG) and HbA1c values are in the normal range.

This study evaluated the ability of the triglyceride (TG) to high-density lipoprotein cholesterol (TG/HDL-C) ratio to identify individuals at risk of type 2 diabetes mellitus (T2DM) in the non-alcoholic fatty liver disease (NAFLD) population. We retrospectively studied 4,769 patients with NAFLD from the Affiliated Hospital of Hangzhou Normal University (2020-2023). Binary logistic regression models were used to evaluate the association between the TG/HDL-C ratio and lipid parameters with T2DM. TG/HDL-C ratio was positively associated with T2DM in patients with NAFLD, with an odds ratio (OR) of 2.72 (95% confidence interval, 2.23-3.31, p < 0.001) for T2DM in the highest TG/HDL-C ratio quartile compared with the lowest one after adjusting for known confounders. The OR for the TG/HDL-C ratio had a stronger predictive value than those of TG, total cholesterol, HDL-C, and low-density lipoprotein cholesterol, indicating that the TG/HDL-C ratio could be a better discriminator of T2DM. The TG/HDL-C ratio better identifies potential risks of T2DM in individuals with NAFLD than individual lipid parameters. Therefore, clinicians should pay attention to individuals with high TG and low HDL-C levels during T2DM risk assessment in NAFLD cohorts.

Inflammation is a critical driver of the early stages of diabetic retinopathy (DR) and offers an opportunity for therapeutic intervention before irreversible damage and vision loss associated with later stages of DR ensue. Nonsteroidal anti-inflammatory drugs (NSAIDs) have shown mixed efficacy in slowing early DR progression, notably including severe adverse side effects likely due to their nonselective inhibition of all downstream signaling intermediates. In this study, we investigated the role of prostanoids, the downstream signaling lipids whose production is inhibited by NSAIDs, in promoting inflammation relevant to early-stage DR in two human retinal cell types: Müller glia and retinal microvascular endothelial cells. When cultured in multiple conditions modeling distinct aspects of systemic diabetes, Müller glia significantly increased production of prostaglandin E2 (PGE2), whereas retinal endothelial cells significantly increased production of prostaglandin F2α (PGF2α). Müller glia stimulated with PGE2 or PGF2α increased proinflammatory cytokine levels dose-dependently. These effects were blocked by selective antagonists to the EP2 receptor of PGE2 or the FP receptor of PGF2α, respectively. In contrast, only PGF2α stimulated adhesion molecule expression in retinal endothelial cells and leukocyte adhesion to cultured endothelial monolayers, effects that were fully prevented by FP receptor antagonist treatment. Together these results identify PGE2-EP2 and PGF2α-FP signaling as novel, selective targets for future studies and therapeutic development to mitigate or prevent retinal inflammation characteristic of early-stage DR.

Lifestyle intervention prevents or delays type 2 diabetes (T2D) in subjects at a high risk of T2D. However, it is not known whether genetic variants modify the effect on incident T2D during lifestyle intervention.

To investigate whether a low or high genetic risk has effects on incident T2D in a group-based lifestyle intervention study.

The T2D-GENE trial involved 973 men from the Metabolic Syndrome in Men (METSIM) cohort, aged 50-75 years, body mass index ≥25 kg/m2, fasting plasma glucose 5.6-6.9 mmol/L, hemoglobin A1c < 48 mmol/mol, and either a low or high genetic risk score for T2D. There were 2 intervention groups, a low (n = 315) and high genetic risk for T2D (n = 313). They were provided with a 3-year group-based intervention with access to a web portal focused on healthy diet and physical activity. There were also corresponding population-based control groups at low (n = 196) and high (n = 149) genetic risk for T2D who had two laboratory visits (0 and 3 years) and general health advice as a part of their METSIM cohort protocol. The primary outcome was incident T2D, and a secondary outcome was glycemia.

The intervention significantly lowered the risk of T2D among the participants with a high genetic risk for T2D [hazards ratio (HR) 0.30, 95% confidence interval (CI) 0.16-0.56, P < .001) whereas in the low genetic risk group the effect was not significant (HR 0.69, 95% CI 0.36-1.32, P = .262). The intervention effect was not significantly different between the high and low genetic risk groups (P = .135). The intervention significantly ameliorated the worsening of glycemia and decreased weight both in the low and high genetic risk groups.

Our results showed that individuals with a high genetic risk for T2D benefitted from a low-cost group-based intervention focusing on healthy diet and physical activity. Therefore, all individuals at risk of T2D should be encouraged to make lifestyle changes regardless of genetic risk.

Surface-enhanced Raman scattering (SERS) has been extensively applied to detect complex analytes due to its ability to enhance the fingerprint signals of molecules around nanostructured metallic surfaces. Thus, it is essential to design SERS-active nanostructures with abundant electromagnetic hotspots in a probed volume according to the dimensions of the analytes, as the analytes must be located in their hotspots for maximum signal enhancement. Herein, we demonstrate a simple method for detecting robust SERS signals from multi-scaled bioanalytes, regardless of their dimensions in the liquid state, through a photothermally driven co-assembly with colloidal plasmonic nanoparticles as signal enhancers. Under resonant light illumination, plasmonic nanoparticles and analytes in the solution quickly assemble at the focused surface area by convective movements induced by the photothermal heating of the plasmonic nanoparticles without any surface modification. Such collective assemblies of plasmonic nanoparticles and analytes were optimized by varying the optical density and surface charge of the nanoparticles, the viscosity of the solvent, and the light illumination time to maximize the SERS signals. Using these light-induced co-assemblies, the intrinsic SERS signals of small biomolecules can be detected down to nanomolar concentrations based on their fingerprint spectra. Furthermore, large-sized biomarkers, such as viruses and exosomes, were successfully detected without labels, and the complexity of the collected spectra was statistically analyzed using t-distributed stochastic neighbor embedding combined with support vector machine (t-SNE + SVM). The proposed method is expected to provide a robust and convenient method to sensitively detect biologically and environmentally relevant analytes at multiple scales in liquid samples.

Metabolic syndrome is a major public health problem worldwide and an independent predictor of cardiovascular disease in patients with type 2 diabetes (T2DM). This study aimed to determine the prevalence of metabolic syndrome and its individual components among Jordanian patients with T2DM. A cross-sectional design was conducted among T2DM patients at the National Center for Diabetes, Endocrinology and Genetics in Jordan. Data were collected using a structured questionnaire and clinical data extracted from medical records. The National Cholesterol Education Program-Adult Treatment Panel III (ATP III) and International Diabetes Federation (IDF) diagnostic criteria were used to define metabolic syndrome. Among 1017 participants aged between 22 and 90 years, the overall prevalence of IDF defined metabolic syndrome was 84.2% (72.5% and 96.2% among males and females, respectively). Using ATP III criteria, overall prevalence was 79.1% (77.4% and 80.8% among males and females, respectively). Advancing age, female gender, nonadherence to a diet regimen, sedentary lifestyle or insufficient physical activity, and duration of diabetes ≥10 years were significantly associated with increased odds of metabolic syndrome, regardless of the definition used. Current smoking status and family history of cardiovascular diseases were significantly associated with increased likelihood of ATP III defined metabolic syndrome. The prevalence of metabolic syndrome among Jordanian patients with T2DM is extremely high. The main modifiable risk factors of metabolic syndrome among these patients include nonadherence to a diet regimen, insufficient physical activity, being overweight/obese and smoking. It is recommended that healthcare providers counsel patients on the importance of maintaining physical activity, smoking cessation, and adherence to a diet regimen.

Flavonoids may play a role in mitigating atherosclerotic cardiovascular diseases, with evidence suggesting effects may differ between vascular beds. Studies examining associations with subclinical markers of atherosclerosis between subpopulations with different underlying risks of atherosclerosis are lacking.

Among 5599 participants from the MESA (Multi-Ethnic Study of Atherosclerosis), associations between dietary flavonoid intakes (estimated from a food frequency questionnaire) and subclinical measures of atherosclerosis (ankle-brachial index, carotid plaques and intima-media thickness, and coronary artery calcification) were examined using repeated measures models. Exposures and outcomes were measured at exam 1 (2000-2002) and exam 5 (2010-2011). Stratified analyses and interaction terms were used to explore effect modification by time, sex, race/ethnicity, and smoking status.

In the analytic population, at baseline, ≈46% were men with a median age of 62 (interquartile range, 53-70) years and total flavonoid intakes of 182 (interquartile range, 98-308) mg/d. After multivariable adjustments, participants with the highest (quartile 4) versus lowest (quartile 1) total flavonoid intakes had 26% lower odds of having an ankle-brachial index <1 (odds ratio, 0.74 [95% CI, 0.60-0.92]) and 18% lower odds of having a carotid plaque (odds ratio, 0.82 [95% CI, 0.69-0.99]), averaged over exams 1 and 5. Moderate (quartile 3) to high (quartile 4) intakes of flavonols, flavanol monomers, and anthocyanins were associated with 19% to 34% lower odds of having an ankle-brachial index <1 and 18% to 20% lower odds of having carotid plaque. Participants with the highest intakes of anthocyanins (quartile 4) at baseline had a marginally slower rate of carotid plaque progression than those with moderate intakes (quartiles 2 and 3). There were no significant associations with intima-media thickness or coronary artery calcification. Observed associations did not differ by sex, race/ethnicity, or smoking status.

In this multi-ethnic population, higher dietary flavonoid intakes were associated with lower odds of peripheral and carotid artery atherosclerosis. Increasing intakes of healthy, flavonoid-rich foods may protect against atherosclerosis in the peripheral and carotid arteries.

Animal models indicate that hepatic insulin resistance (IR) promotes cholesterol gallstone disease (GSD). We sought to determine whether hepatic and whole-body IR is associated with incident GSD.

At baseline, 450 Southwestern Indigenous American adults without GSD were included. Participants had a 2-step hyperinsulinemic-euglycemic clamp with glucose tracer at submaximal and maximal insulin stimulation (240 and 2,400 pmol/m 2 /min) for whole-body IR (M-low and M-high) and hepatic glucose production (HGP) before and during submaximal insulin infusion (HGP-basal and HGP-insulin). Incident GSD was identified during follow-up visits conducted at ∼2-year intervals. The associations of HGP (basal, insulin, and % suppression), M-low, and M-high with risk of GSD were assessed by Cox regression models adjusted for age, sex, body fat (%), glucose, and insulin.

Sixty participants (13%) developed GSD (median follow-up: 11.6 years). Participants who developed GSD were of similar age and whole-body IR as those who did not ( P 's > 0.07) but were more likely to be female; have higher body fat, higher HGP-basal, and HGP-insulin; and lower % suppression of HGP ( P 's < 0.02). In separate adjusted models, higher HGP-insulin and lower % suppression of HGP were associated with increased risk for GSD (hazard ratio [HR] per SD: HR 1.38, 95% CI 1.12-1.69, P = 0.002; HR 1.41, 95% CI 1.16-1.72, P = 0.0007). HGP-basal, M-low, and M-high were not associated with GSD in adjusted models ( P 's > 0.22).

Resistance to insulin suppression of HGP increases risk for GSD. Hepatic IR is a link between GSD and other conditions of the metabolic syndrome.

Phenanthrene (Phe) is a commonly occurring polycyclic aromatic hydrocarbon (PAH) found in various food sources and drinking water. Previous studies have shown that long-term exposure to Phe in male mice leads to insulin resistance in a dose-dependent manner. However, the effect of Phe on glucose homeostasis in female mice remains unknown. To address this knowledge gap, female Kunming mice were exposed to Phe through their drinking water at concentrations of 0.05, 0.5, and 5 ng/mL. After 270 d of exposure, we surprisingly discovered a low-dose effect of Phe on insulin resistance in female mice, which differed from the effect observed in male mice and showed sexual dimorphism. Specifically, insulin resistance was only observed in the 0.05 ng/mL treatment, and this low-dose effect was also reflected in the concentration of Phe in white adipose tissue (WAT). Differences in metabolic enzyme activities in the liver may potentially explain this effect. The observed sexual dimorphism in Phe exposure could be attributed to variations in estrogen (E2) level and estrogen receptor beta (ERβ) expression in WAT. These findings highlight the association between environmental factors and the development of insulin resistance, emphasizing the pathogenic effect of even low doses of Phe. Moreover, sex dependent-effect should be given more attention when studying the toxic effects of environmental pollutants.

Assessment of knowledge, attitudes, and practices regarding cardiovascular diseases (CVD) and cardiovascular risk factors (CVRF) is critical to inform CVD prevention strategies, but limited community-level data exist from developing countries.

To assess the knowledge, attitudes, and practices regarding CVD and CVRF and acceptability of non-physician health workers and text-message based reminders to guide CVD prevention strategies in India.

We conducted a telephone-based survey nested in the on-going Centre for Cardiometabolic Risk Reduction in South Asia (CARRS) cohort in Delhi and Chennai, India between January 2021 to February 2021. We randomly selected people with CVRF, but no established CVD and those with existing CVD from the CARRS cohort (n = 502 participants) and assessed their 1) knowledge of CVD symptoms and risk factors, 2) attitude towards non-physician health workers (NPHW) facilitated care and text-messages for healthy lifestyle, and 3) practices regarding monitoring of CVRF. We performed logistic regression analyses to investigate the factors associated with KAP.

We interviewed 502 participants (283 with CVRF and 219 with CVD); 45.8 % were female, and mean age (SD) was 48.1 (11.2) years. The knowledge of heart attack symptoms, stroke symptoms, and CVRF (>75 % correct answers) were: 12.9 %, 20.7 %, and 17.3 %, respectively. Individuals with CVRF had 2.5 times lower knowledge of CVD symptoms compared to those with existing CVD. Acceptability of NPHW-facilitated care and text-messages for healthy lifestyle was 60 % and 84 %, respectively.

The knowledge of CVD symptoms and risk factors is below optimal levels, particularly among individuals at high risk of CVD, unskilled workers, those with lower levels of education and income. Innovative use of NPHW along with mHealth tools could potentially offer solutions to reduce the burden of CVD.

This study aimed to understand the potassium voltage-gated channel KQT-like subfamily, member 1 gene polymorphism in a rural elderly population in a county in Guangxi and to explore the possible relationship between its gene polymorphism and blood sugar. The 6 SNP loci of blood DNA samples from 4355 individuals were typed using the imLDRTM Multiple SNP Typing Kit from Shanghai Tianhao Biotechnology Co. The data combining epidemiological information (baseline questionnaire and physical examination results) and genotyping results were statistically analyzed using GMDR0.9 software and SPSS22.0 software. A total of 4355 elderly people aged 60 years and above were surveyed in this survey, and the total abnormal rate of glucose metabolism was 16·11 % (699/4355). Among them, male:female ratio was 1:1·48; the age group of 60-69 years old accounted for the highest proportion, with 2337 people, accounting for 53·66 % (2337/4355). The results of multivariate analysis showed that usually not doing farm work (OR 1·26; 95 % CI 1·06, 1·50), TAG ≥ 1·70 mmol/l (OR 1·19; 95 % CI 1·11, 1·27), hyperuricaemia (OR 1·034; 95 % CI 1·01, 1·66) and BMI ≥ 24 kg/m2 (OR 1·06; 95 % CI 1·03, 1·09) may be risk factors for abnormal glucose metabolism. Among all participants, rs151290 locus AA genotype, A allele carriers (AA+AC) were 0.70 times more likely (0.54 to 0.91) and 0.82 times more likely (0.70 to 0.97) to develop abnormal glucose metabolism than CC genotype carriers, respectively. Carriers of the T allele at the rs2237892 locus (CT+TT) were 0.85 times more likely to have abnormal glucose metabolism than carriers of the CC genotype (0.72 to 0.99); rs2237897 locus CT gene. The possibility of abnormal glucose metabolism in the carriers of CC genotype, TT genotype and T allele (CT + TT) is 0·79 times (0·67-0·94), 0·74 times (0·55-0·99) and 0·78 times (0·66, 0·92). The results of multifactor dimensionality reduction showed that the optimal interaction model was a three-factor model consisting of farm work, TAG and rs2237897. The best model dendrogram found that the interaction between TAG and rs2237897 had the strongest effect on fasting blood glucose in the elderly in rural areas, and they were mutually antagonistic. Environment-gene interaction is an important factor affecting abnormal glucose metabolism in the elderly of a county in Hechi City, Guangxi.

Cardiovascular disease is a leading cause of death worldwide. The increase in patients with obesity and diabetes raises the risk of cardiovascular diseases. Proper eating habits and adequate nutritional knowledge play a key role in preventing and treating these conditions. This study aimed to evaluate the dietary habits, nutritional knowledge, and nutritional status of patients hospitalized in a cardiology department in Poland, including those with obesity or diabetes.

The study was conducted at St. Barbara Regional Specialized Hospital No. 5 in Sosnowiec from January to June 2021, involving 301 patients, 154 women (51.2%) and 147 men (48.8%), aged 29 to 87. Participants were assessed for BMI, NRS 2002 scale, morphology, biochemistry results, blood pressure, and examined for nutritional knowledge and habits using proprietary questionnaires. A proprietary scale was used to assess eating habits.

Most cardiology patients were overweight or obese, with 80% exceeding the normal weight range. No significant gender differences were noted in malnutrition risk on the NRS 2002 scale. The study found patients rarely consumed recommended amounts of vegetables, fruits, legumes, whole grains, fish, and dairy products. Only 26.2% regularly ate a second breakfast, and just 9.3% chose water with meals. However, consumption of salty snacks, energy drinks, and alcohol was low. Biochemical and blood test analysis did not show significant differences between patients with diabetes, obesity, and others.

Most cardiology patients were overweight or obese, which poses a significant risk for further health complications, including cardiovascular diseases. Although patients with diabetes and/or obesity had better nutritional knowledge in some areas, this did not lead to healthier eating habits. The absence of significant differences in biochemical tests suggests that overall lifestyle and diet are crucial to cardiovascular health.

Female healthcare workers have unique occupational stressors and lifestyle factors that may increase their risk of metabolic disorders. This study aimed to investigate the utility of the fatty liver index (FLI) as a predictor of metabolic syndrome among female employees in the healthcare sector.

This cross-sectional study included 450 female healthcare workers aged ≥18 years, employed in various roles at a tertiary healthcare facility in Gujarat. Clinical examination, anthropometric measurements, and biochemical tests were conducted. FLI was calculated, and metabolic syndrome was diagnosed using harmonized criteria. Logistic regression analysis evaluated predictors.

The mean age was 44.2 ± 7.8 years, and the prevalence of metabolic syndrome was 61%. Increasing the FLI category was significantly associated with a worsening metabolic profile. The odds of hypertension, diabetes, metabolic syndrome, and cardiovascular disease progressively increased with higher FLI levels (P < 0.001), denoting a dose-response relationship. FLI demonstrated good diagnostic accuracy for metabolic syndrome with an area under the curve (AUC) of 0.86 (95% CI: 0.81 - 0.89). An FLI cutoff ≥30 provided an optimal balance of sensitivity (71%) and specificity (41%) for predicting metabolic syndrome.

FLI demonstrates a strong association with metabolic syndrome and related comorbidities in a dose-dependent manner. FLI can be a simple, low-cost screening tool to identify high metabolic risk individuals in resource-limited settings.

It is well established that people of South Asian background have a high burden of atherosclerotic cardiovascular disease (ASCVD). However, few studies have comprehensively examined if South Asian adults in the United States (US) develop cardiovascular risk factors at younger ages than adults from other race and ethnic groups.

To compare the prevalence and change in ASCVD risk factors across age strata by race and ethnic group.

We combined data from the Mediators of Atherosclerosis in South Asians Living in America (MASALA) and the Multi-Ethnic Study of Atherosclerosis (MESA) cohort studies. Longitudinal data from all eligible participants at all available exam visits were used to estimate the prevalence of risk factors at ages 45 and 55 years for each race and ethnic group.

Multicenter longitudinal cohort study in 7 field centers across the U.S.

The baseline study sample included individuals free of clinical ASCVD; 554 South Asians, 796 White, 588 Black, 517 Hispanic/Latino, and 245 Chinese adults aged 45-55 years were included.

Self-identified race (Black, Chinese, South Asian, or White) or ethnic group (Hispanic/Latino).

Prevalence of clinical (prediabetes & diabetes, hypertension, dyslipidemia, BMI) and behavioral (diet quality, alcohol use, exercise) ASCVD risk factors at age 45 and age 55.

At age 45, South Asian men and women had the highest prevalence of pre-diabetes and diabetes and higher prevalence of hypertension compared to White, Chinese, and Hispanic/Latino men and women. South Asian men had a higher prevalence of dyslipidemia than White, Chinese, and Black men, and South Asian women had a higher prevalence than Chinese and Black women. All groups had worse diet quality than South Asian men and women at age 45, and most also had higher rates of alcohol use.

We observed significant differences in the prevalence of risk factors for South Asian adults compared to adults from other U.S. race and ethnic groups at age 45 years. Understanding trends and disparities in cardiovascular risk and protective factors across the life course can help equitably improve prevention and treatment strategies for US populations.

Question: Do South Asian adults have a higher burden of cardiovascular risk factors at age 45 years compared adults from other race and ethnic groups?Findings: In this study of 2754 adults from two cohort studies, the prevalence of prediabetes and diabetes at age 45 years was higher among South Asians than in Black, Chinese, Hispanic and White adults; hypertension prevalence was higher among South Asians than all groups except Black adults.Meaning: South Asian adults have a higher prevalence of several clinical cardiovascular risk factors at a younger age.

Metabolic syndrome involves health problems influenced by aging and genetics. The glucokinase regulatory protein (GCKR) rs1260326 polymorphism (Leu446) is associated with metabolic traits. This study explores the impact of the GCKR rs1260326 polymorphism on metabolic traits in older Japanese with focusing on sex-specific differences.

This cross-sectional study from the Bunkyo Health Study in Tokyo, Japan, examined 883 participants aged 65-84 years. Participants were excluded with diabetes, or on drug treatment for diabetes or dyslipidemia. The GCKR P446L polymorphism was analyzed and compared their characteristics of physical activity, dietary intake, body composition, and metabolic parameters.

Study participants with GCKR rs1260326 genotypes (C/C 20.7%, C/T 47.6%, T/T 31.7%) had a median age of 72 years, and 60.4% were women. Men with the T/T genotype, as compared to the C/C genotype, had a lower body weight, body mass index (BMI), and skeletal mass index. This genotype also associated with lower fasting insulin, homeostasis model assessment of insulin resistance index (HOMA-IR), and higher Matsuda index, but not after adjustment for age, BMI, and physical activity. In contrast, women with the T/T genotype, compared to the C/C genotype, showed higher C-reactive protein, fibroblast growth factor 21, and Matsuda index. They also had lower fasting insulin, insulin area under the curve, and HOMA-IR; with these associations being independent of age, BMI, and physical activity.

The GCKR rs1260326 genotype-affected metabolic traits differentially by sex in older Japanese. This highlights the need to consider sex differences in GCKR-related metabolic outcomes.

The incidence of early-onset colorectal cancer (EOCRC), which exhibits differential clinical, pathological, and molecular features compared to late-onset CRC (LOCRC), is rising globally. The potential differential effects of blood glucose on EOCRC compared to LOCRC have not been investigated.

This study analyzed 374,568 participants from the UK Biobank cohort and 172,809 participants from the Kailuan cohort. The linear associations between blood glucose and EOCRC/LOCRC were estimated using Cox regression models. Restricted cubic spline (RCS) analysis and non-linear Mendelian randomization (MR) analysis using a 70-SNPs genetic instrument for fasting glucose were used to explore the potential non-linear associations.

Participants in the highest quintile of blood glucose had higher overall CRC risk compared to the lowest quintile (HR = 1.10 in the UK Biobank cohort, 95% CI: 1.01-1.21, P-trend = 0.012; HR = 1.23 in the Kailuan cohort, 95% CI: 1.01-1.51, P-trend = 0.036). Elevated glucose (>7.0 mmol/L) was more strongly associated with increased risk of EOCRC (HR = 1.61, 95% CI: 1.07-2.44) than with LOCRC (HR = 1.14, 95% CI: 1.02-1.27) in the UK Biobank cohort (P-heterogeneity = 0.014). Elevated glucose (>7.0 mmol/L) was associated with increased risk of LOCRC (HR = 1.25, 95% CI: 1.04-1.65) in the Kailuan cohort as well. There was no evidence for non-linear associations between blood glucose and risks of EOCRC/LOCRC.

This study showed a positive association between blood glucose and CRC risk in a dose-response manner, particularly for EOCRC, suggesting that tighter glucose control should be a priority for younger age groups.

Few studies have assessed the association between weight changes from childhood to adulthood and cardiometabolic factors in adulthood. The aim of this study was to explore the relationships between weight changes from childhood to adulthood and cardiometabolic factors in adulthood using national Chinese data.

We included 649 participants from the China Health and Nutrition Survey from 1989 to 2009 and divided them into four groups by their body mass index from 6 to 37 years of age. They were selected using multistage random cluster sampling from 15 areas with large variations in economic and social development. Poisson regression models assessed associations between weight status changes and cardiometabolic outcomes in adulthood.

The risk of multiple abnormal cardiometabolic outcomes in adulthood was increased in the 126 subjects with normal weight in childhood but overweight or obesity in adulthood and the 28 with obesity at both ages, compared to the 462 with normal weight at both ages. There was insufficient evidence to demonstrate that the 33 who had weight issues as children, but not as adults, had an increased risk.

Being overweight or obese in both childhood and adulthood or during adulthood only increased the risk of abnormal cardiometabolic outcomes in adulthood. Larger studies need to investigate whether weight problems in childhood, but not adulthood, increase the risk.