Environmental pollution is recognized as a critical contributor to pregnancy loss. However, there is currently a paucity of evidence concerning the potential impact of perchlorate, thiocyanate and nitrate, which are known as sodium iodine symporter inhibitors. This study was therefore designed to investigate the potential association between urinary perchlorate, thiocyanate and nitrate concentration and the risk of pregnancy loss. Based on the National Health and Nutrition Examination Survey 2001-2002 and 2005-2020 cycles, a total of 3249 reproductive-aged women were enrolled, of whom 1729 (53.22 %) had a history of pregnancy loss encompassing miscarriages, stillbirths, ectopic pregnancies, or abortions. Logistic regression analyses revealed that urinary perchlorate levels were significantly associated with increased pregnancy loss prevalence. In the weighted quantile sum and Bayesian kernel machine regression models, co-exposure to three anions were also significantly associated with higher pregnancy loss odds, with perchlorate identified as the primary contributor. Additionally, the mediation analysis suggested that insulin resistance, represented by the triglyceride-glucose index, accounted for 6.08 % of the perchlorate-associated risk. In summary, our study revealed a potential role of perchlorate exposure in pregnancy loss. Further prospective studies are needed to confirm our findings and elucidate the underlying causative mechanistic links.

Using the Triglyceride-Glucose (TyG) index to categorize patients and to compare the effects of different oils on metabolic biomarkers among diabetic patients.

A total of 98 diabetic patients were included in this retrospective hospital-based study of which data were obtained from medical and dietary records. The participants were divided into soybean oil groups or olive oil groups according to the dietary packages they chose during hospitalization, which merely differed in the kinds of cooking oil (olive oil vs. soybean oil). After being matched based on propensity scores in a 1:1 ratio with a 0.2 caliber width, 70 subjects were finally included in the analysis.

Compared to admission, blood pressure, lipids, and postprandial blood glucose were decreased at discharge in both groups. Grip strength levels of both hands increased in the olive oil group, while no statistical differences were found for these measures in the soybean oil group. In both the soybean oil and olive oil groups, metabolic biomarkers showed broader improvements at discharge for participants with high TyG levels compared to those with low TyG levels. Additionally, patients with high TyG levels in the olive oil group experienced the greatest benefits in terms of blood glucose, lipids, blood pressure, and handgrip strength before and after hospitalization.

Olive oil may have more advantages in improving metabolic risk factors among diabetic patients. The TyG index can be a valuable tool for clinically screening and categorizing patients for personalized precision treatment.

To investigate the potential correlation between the triglyceride-glucose (TyG) index and overactive bladder (OAB) symptoms within the female population.

This study used data from 7941 individuals obtained from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 dataset. The following equation is used to calculate the TyG index: TyG = Ln [fasting triglycerides (mg/dL) * fasting glucose (mg/dL)/2]. The symptoms of OAB were based on individuals' self-reported comprehensive score. Weighted logistic regression models, encompassing both univariable and multivariable analyses, were employed to evaluate the relationship between the TyG index and OAB in women.

After conducting extensive modifications, the multivariable logistic regression model revealed a significant correlation between the TyG index and mild OAB among American female adults (OR 1.36, 95% CI 1.09-1.70, P = 0.006). Upon categorizing the TyG index into 4 grades (Q1-Q4), a positive increase in OR values corresponding to higher TyG index grades can be observed.

In this study, our findings reveal a significantly positive relationship between elevated TyG index values and an increased prevalence of mild OAB among female adults. These findings suggest that metabolic dysregulation may drive early-stage OAB, while severe OAB symptoms may be more dependent on non-metabolic pathological changes. Further investigation is warranted to elucidate the underlying mechanisms in female adults.

This study aimed to investigate the association of dietary patterns (DPs) with risk of T2DM, emphasizing the intermediary role of HOMA or TyG indices among a Chinese adult population.

Directed acyclic graphs combined with propensity score matching were used to minimize confounding, resulting in 1330 subjects for final analysis. Principal component analysis and reduced rank regression, applied to eleven food groups. Multivariable logistic regression and restricted cubic spline regression models were used to assess associations between there DPs with prevalent T2DM, as well as insulin resistance and β-cell function (HOMA-TyG). Mediation analyses were conducted to evaluate whether the HOMA-TyG index mediated the relationship between DPs and T2DM.

The DP1, characterized by high intakes of poultry, meat, and preserved foods, was associated with elevated body mass index, triglycerides, and hemoglobin A1c. Both PCA-DP1(ORQ4VsQ1 = 2.15, 95% CI: 1.53-3.03) and RRR-DP1 (ORQ4VsQ1 = 1.69, 95% CI: 1.82-3.58) were significantly positively correlated with T2DM. RRR-DP1 additionally demonstrated a dose-dependent relationship with HOMA-insulin resistance and TyG. Furthermore, the TyG index mediated approximately 19.51% of the relationship between RRR-DP1 and T2DM.

These findings indicate that glucose-lipid metabolism-related dietary pattern, notably high in animal fat, exacerbates insulin resistance and heightens T2DM risk. Tailoring dietary interventions to modify this pattern may be an effective strategy for preventing and managing T2DM.

Diabetic retinopathy (DR) is a major contributor to vision loss and blindness among working-age adults worldwide. While the relationship between the triglyceride glucose (TyG) index and DR in hospitalized patients has been demonstrated, research on the correlation between the triglyceride glucose (TyG) index and DR in ambulatory type 2 diabetes mellitus (T2DM) patients is still relatively limited.

A cohort of 398 middle-aged and elderly T2DM patients who underwent outpatient physical examinations at the First People's Hospital of Hefei City between 2012 and 2017 were included in this study. They were categorized into either the nondiabetic retinopathy group (296 cases in the NDR group) or the diabetic retinopathy group (102 cases in the DR group) based on the results of dilated fundus examinations. One-way logistic regression and LR backward multifactorial logistic regression analyses were utilized to identify the risk factors associated with the development of diabetic retinopathy in T2DM patients. Furthermore, the predictive value of the TyG index for diabetic retinopathy in middle-aged and elderly ambulatory T2DM patients was evaluated through stratified regression to adjust for other factors, along with receiver operating characteristic (ROC) curve analysis.

Multivariate logistic regression analysis indicated that the TyG index was identified as an independent risk factor for diabetic retinopathy (DR) in middle-aged and elderly patients with type 2 diabetes mellitus (T2DM) (P < 0.05). The receiver operating characteristic (ROC) curve analysis revealed that the area under the curve (AUC) was 0.585 [95% CI (0.524, 0.646)] (P = 0.011), with an optimal cut-off value of 9.115, corresponding to a sensitivity of 82.4% and specificity of 36.1%.

The TyG index serves as an independent risk factor for diabetic retinopathy (DR) in middle-aged and elderly ambulatory type 2 diabetes mellitus (T2DM) patients, and it is recommended that this index be used as a reference index in the comprehensive assessment of DR.

Non-ST-segment elevation acute coronary syndrome (NSTE-ACS) has a significant impact on cardiovascular mortality in elderly patients. Identification of high-risk patients is essential to optimize clinical management. This study investigates the relationship between the TyG index and CAD complexity, as measured by the SYNTAX score, in elderly patients with NSTE-ACS.

We performed a retrospective analysis of 216 patients aged >65 years undergoing coronary angiography stratified according to tertiles of the TyG index and the SYNTAX score (SYNTAX score ≤ 22 versus SYNTAX score > 22).

After adjustment for confounders, the TyG index was identified as an independent predictor of moderate/high scores (SYNTAX score > 22). As a continuous variable, it was significantly associated with moderate/high SYNTAX scores in both diabetic ( P  = 0.003) and nondiabetic groups ( P  = 0.004). When presented as a categorical variable, the TyG index remained a significant predictor after adjustment for sex, hypertension, BMI, and glomerular filtration rate. Compared with the T1 group, the risk of a moderate/high SYNTAX score was 5.410-fold (95% CI: 1.034-28.315; P  = 0.046) and 7.774-fold (95% CI: 1.836-32.916; P  = 0.005) higher in the T2 and T3 groups, respectively. The TyG index showed superior predictive ability for CAD complexity with an AUC of 0.747 compared with the AUC of 0.624 for HbA1c ( P  = 0.005).

This study showed that the TyG index is an independent predictor of moderate/high SYNTAX scores in elderly patients with NSTE-ACS, demonstrating superior predictive performance compared to HgA1c and highlighting its potential as a valuable tool for assessing CAD severity in this population.

Insulin resistance is a major risk factor for cardiovascular disease. Thus, early identification of insulin resistance is important for classifying individuals at high cardiovascular risk. All the tools commonly used in epidemiological studies and clinical practice to assess insulin resistance require measuring insulin levels, which is a limitation. Hence, simpler methods have been proposed to overcome these limitations. One of the most promising is the triglyceride-glucose index. Therefore, this narrative review focuses on the most significant epidemiological findings concerning the relationship between the triglyceride-glucose index and cardiovascular risk. Furthermore, it also highlights this new tool's strengths, limitations, and perspectives for assessing cardiovascular risk.

Even though the assessment of this index is relatively recent, there are numerous papers on this topic, and their number is constantly increasing. Observational studies have shown a substantial positive association between the triglyceride-glucose index and cardiovascular risk, although some conflicting results have been observed.

The index is strongly associated with cardiovascular mortality and cardiovascular risk factors. However, some gaps need to be addressed.

The triglyceride-glucose (TyG) index has emerged as a validated and cost-effective indicator of insulin resistance (IR). Given the significant association between visceral obesity and IR, this study aimed to investigate the utility of the TyG index in estimating visceral obesity in patients with gastric cancer (GC).

The visceral fat area (VFA), subcutaneous fat area (SFA), and VFA-to-SFA ratio (VSR) were determined through the analysis of CT images at the lumbar 3 level. The definition of visceral obesity was established as VFA ≥ 100 cm2. The association between the TyG index and visceral obesity was assessed using logistic regression analysis and restricted cubic splines. The diagnostic performance for identifying visceral obesity was evaluated by calculating the area under the Receiver Operating Characteristics curve (AUC).

The cross-sectional study enrolled a total of 314 patients with GC, among whom 159 (50.64%) were identified as having visceral obesity. The TyG index was positively correlated with VFA (r = 0.45, p < 0.001), SFA (r = 0.23, p < 0.001), and VSR (r = 0.35, p < 0.001). However, subsequent multivariate linear regression analysis demonstrated that the TyG index was significantly associated with VFA and VSR, but not SFA. After adjusting for potential confounding factors, the TyG index remained independently associated with visceral obesity (OR = 2.54, 95% CI: 1.32-4.89, p = 0.005) and demonstrated a significantly positive linear correlation with visceral obesity in patients with GC (p-value for non-linearity = 0.116). TyG-BMI, the combination index of TyG and BMI, showed the highest predictive power in identifying visceral obesity in GC patients (AUC = 0.849, 95% CI: 0.807-0.890, p < 0.001). The subgroup analysis revealed a significantly stronger positive association between the TyG index and visceral obesity in patients with BMI ≥ 25 kg/m2 (p for interaction = 0.049).

The TyG index exhibited a significant association with visceral obesity and proved to be a valuable predictor for visceral obesity when combined with BMI in patients with GC.

The cardiovascular kidney metabolic (CKM) syndrome is a dynamic geriatric condition that has received limited research attention regarding its potential associations with the triglyceride glucose (TyG) index. This study aims to explore the potential association between the TyG index and advanced CKM syndrome. Data for this cross-sectional study were obtained from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018. The association between the TyG index and the risk of advanced CKM syndrome was investigated using multivariable logistic regression models. Additionally, a restricted cubic spline (RCS) analysis was employed to assess the dose-response relationship between the TyG index and the risk of advanced CKM syndrome. A total of 7904 participants were included in this study, with a mean TyG index of 5.04 ± 0.41. The prevalence of advanced CKM syndrome among the participants was 14.85%. Our findings indicated that as the TyG index quartiles increased, the risk of advanced CKM syndrome also increased. The results from the three regression analysis models indicated a positive association between the continuous TyG index and advanced CKM syndrome. Furthermore, the quartiles of the TyG index were significantly associated with an increased prevalence of advanced CKM syndrome in the fully adjusted models (TyG index Q4 vs. Q1, OR = 1.94, 95% CI 1.37-2.75, P < 0.001). The results of the RCS analysis indicated a linear and positive association between the TyG index and advanced CKM syndrome. The results indicated that elevated TyG index is associated with an increased prevalence of advanced CKM syndrome. This suggests that the TyG index may be a useful tool for assessing the risk of advanced CKM syndrome.

The Triglyceride-glucose (TyG) index represents a simple, cost-effective, and valid proxy for insulin resistance. This surrogate marker has also been proposed as a predictor of metabolic and cardiovascular disease (CVD). In this descriptive review, we aimed to assess the utility of the TyG index as a predictive biomarker of cardiometabolic diseases.

A search was conducted in PubMed, and Web of Science to identify cross-sectional and more importantly prospective studies examining the use of the TyG index as a predictive biomarker. The following terms were utilized in addition to the TyG index: "insulin resistance", "metabolic syndrome", "diabetes"; "cardiovascular diseases".

This descriptive review included thirty prospective studies in addition to cross-sectional studies. Following adjustment for confounding variables, an elevated TyG index was associated with a significantly increased risk for the development of Metabolic Syndrome (MetS), Type 2 Diabetes, hypertension, and CVD. Also in limited studies, the TyG index was associated with endothelial dysfunction, increased oxidative stress and a pro-inflammatory phenotype.

Overall, our findings support the use of the TyG index as a valid biomarker to assess the risk of developing MetS, T2DM, as well as atherosclerotic cardiovascular disease.

Triglyceride-glucose (TyG) index has emerged as a novel biomarker for detecting insulin resistance (IR) and has been proven to be associated with various diseases. However, its correlation with the prognosis of severe sepsis remains unraveled. This retrospective cohort study utilized patient records from the Medical Information Mart for Intensive Care (MIMIC-IV, version 2.2) to examine the outcomes of patients with sepsis. The primary outcomes were hospital mortality and intensive care unit (ICU) mortality. The correlation between the TyG index and outcomes was evaluated through the Kaplan-Meier method, the Log-rank test, and univariate and multivariate Cox regression analyses. Additionally, restricted cubic spline (RCS) regression analysis was employed to delve into the nonlinear relationship between baseline TyG index and outcomes, with trend significance assessed through quartile levels. Subgroup analyses were conducted to evaluate the consistency of the TyG index's prognostic value across various influencing factors. The study included 1,742 patients with sepsis requiring intensive care. The in-hospital mortality rate was 19.75% (344/1,742), and the ICU mortality rate was 14.75% (257/1,742). Cox regression analysis revealed that, in comparison to the first quartile (Q1), patients in the fourth quartile (Q4) had a 63% higher risk of in-hospital mortality (HR 1.63 [95% CI 1.22 to 2.18], P < 0.01) and a 79% higher risk of ICU mortality (HR 1.79 [95% CI 1.28 to 2.51], P < 0.001). Model 3 showed that ICU mortality risks for Q4, Q3, and Q2 were 240%, 75%, and 33% higher, respectively (HR 3.40 [95% CI 2.24 to 5.16], P < 0.001; HR 1.75 [95% CI 1.16 to 2.63], P = 0.007; HR 1.33 [95% CI 1.20 to 1.53], P < 0.001). RCS regression analysis identified a nonlinear association between the TyG index and mortality (overall P < 0.001; P for nonlinearity < 0.001, with an inflection point at 8.9). Subgroup analysis showed that the effect size and direction were consistent across different subgroups, suggesting the stability of the results. This study demonstrates that a higher TyG index is significantly associated with increased in-hospital and ICU mortality risk in critically ill sepsis patients, with evidence of non-linear correlation. Therefore, the TyG index helps identify the mortality prognosis of sepsis patients in the ICU.

In this editorial, we commented on two articles published online in August and September 2024 in the World Journal of Diabetes, which focused on modifying the gut microbiota (GM) to prevent or delay the progression of diabetes mellitus (DM) and DM-related complications. Numerous studies, many of which are animal studies, have indicated the potential role of GM in the pathogenesis of DM. However, the detailed causality and mechanisms between GM and DM have not been fully clarified. Although there have been some reports of a potential role of modifying the GM in treating DM, most lack long-term observations and are not mechanistic. Additionally, the GM and its role in DM might vary among individuals; therefore, GM-targeted interventions should be individualized to realize their therapeutic potential.

The triglyceride-glucose (TyG) index, recognized for its cost-efficiency and simplicity, serves as an accessible indicator of insulin resistance. Yet, its correlation with the risk of prediabetes and diabetes (Pre-DM/DM) in the Chinese demographic remains uncertain. Consequently, our study explored the association between the TyG index and the development of Pre-DM/DM within the Chinese population.

The retrospective cohort study was carried out utilizing data from a health screening initiative. The study included 179541 adults over 20 who underwent medical examinations at the Rich Healthcare Group over a period spanning from 2010 to 2016. The correlation between the TyG index and Pre-DM/DM risk was investigated using Cox regression analysis. Furthermore, Cox proportional hazards regression with cubic spline functions and smooth curve fitting was incorporated to explore their non-linear connection.

The mean age of study participants was 41.18 ± 12.20 years old, and 95255 (53.05%) were male. During a median follow-up of 3.01 years, 21281 (11.85%) participants were diagnosed with Pre-DM/DM. After adjusting the potential confounding factors, the results showed that the TyG index was positively correlated with incident Pre-DM/DM (HR: 1.67, 95%CI: 1.62-1.71, P< 0.001). Additionally, a non-linear association was observed between the TyG index and the onset of Pre-DM/DM, with an inflection point identified at 8.73. Hazard ratios (HR) to the left and right of this inflection point were 1.95 (95%CI: 1.86-2.04) and 1.34 (95%CI: 1.27-1.42), respectively. Furthermore, sensitivity analyses confirmed the stability of these findings.

The TyG index exhibited a non-linear positive relationship with the risk of Pre-DM/DM. These findings imply that maintaining the TyG index at a lower, specified threshold may be beneficial in mitigating the onset of Pre-DM/DM.

The correlation between visceral obesity index (VAI) and diabetes and accuracy of early prediction of diabetes are still controversial.

This study aims to review the relationship between high level of VAI and diabetes and early predictive value of diabetes.

The databases of PubMed, Cochrane, Embase, and Web of Science were searched until October 17, 2023.

After adjusting for confounding factors, the original study on the association between VAI and diabetes was analyzed.

We extracted odds ratio (OR) between VAI and diabetes management after controlling for mixed factors, and the sensitivity, specificity, and diagnostic 4-grid table for early prediction of diabetes.

Fifty-three studies comprising 595 946 participants were included. The findings of the meta-analysis elucidated that in cohort studies, a high VAI significantly increased the risk of diabetes mellitus in males (OR = 2.83 [95% CI, 2.30-3.49]) and females (OR = 3.32 [95% CI, 2.48-4.45]). The receiver operating characteristic, sensitivity, and specificity of VAI for early prediction of diabetes in males were 0.64 (95% CI, .62-.66), 0.57 (95% CI, .53-.61), and 0.65 (95% CI, .61-.69), respectively, and 0.67 (95% CI, .65-.69), 0.66 (95% CI, .60-.71), and 0.61 (95% CI, .57-.66) in females, respectively.

VAI is an independent predictor of the risk of diabetes, yet its predictive accuracy remains limited. In future studies, determine whether VAI can be used in conjunction with other related indicators to early predict the risk of diabetes, to enhance the accuracy of prediction of the risk of diabetes.

Insulin resistance (IR) is a pivotal pathogenesis characteristic of type 2 diabetes mellitus (T2DM). The current study aimed to explore the association between triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-c), triglyceride-glucose (TyG), and triglyceride glucose-body mass index (TyG-BMI), and T2DM incidence.

A total of 116,855 Chinese adults aged over 20 without diabetes were included. Multivariate Cox regression analysis and restricted cubic spine were utilized to investigate the association between IR indicators and T2DM. The T2DM risk across different quartiles of IR parameters was compared using Kaplan-Meier curves. The receiver operating characteristic analysis was used to investigate the predictive potential of each IR indicator for future T2DM.

A total of 2685 participants developed T2DM during a median follow-up of 2.98 years. The adjusted hazard ratios (HR) of incident T2DM were 1.177, 2.766, and 1.1018 for TG/HDL-c, TyG, and TyG-BMI, respectively. There were significant increasing trends of T2DM across the quartiles of TG/HDL-c, TyG, and TyG-BMI. The HRs of new-onset T2DM in the highest quartiles versus the lowest quartile of TG/HDL-c, TyG, and TyG-BMI were 3.298, 8.402, and 8.468. RCS revealed the nonlinear relationship between IR and T2DM risk. The correlations between IR and T2DM were more pronounced in subjects aged <40. TyG-BMI had the highest predictive value for incident T2DM (AUC = 0.774), with a cut-off value of 213.289.

TG/HDL-c, TyG, and TyG-BMI index were all significantly positively associated with higher risk for future T2DM. Baseline TyG-BMI level had high predictive value for the identification of T2DM.

The present umbrella review aims to collate and summarize the findings from previous meta-analyses on the Triglyceride and Glucose (TyG) Index, providing insights to clinicians, researchers, and policymakers regarding the usefulness of this biomarker in various clinical settings.

A comprehensive search was conducted in PubMed, Scopus, and Web of Science up to April 14, 2024, without language restrictions. The AMSTAR2 checklist assessed the methodological quality of the included meta-analyses. Statistical analyses were performed using Comprehensive Meta-Analysis (CMA) software.

A total of 32 studies were finally included. The results revealed significant associations between the TyG index and various health outcomes. For kidney outcomes, a high TyG index was significantly associated with an increased risk of contrast-induced nephropathy (CIN) (OR = 2.24, 95% CI: 1.82-2.77) and chronic kidney disease (CKD) (RR = 1.46, 95% CI: 1.32-1.63). High TyG index was significantly associated with an increased risk of type 2 diabetes mellitus (T2DM) (RR = 3.53, 95% CI: 2.74-4.54), gestational diabetes mellitus (GDM) (OR = 2.41, 95% CI: 1.48-3.91), and diabetic retinopathy (DR) (OR = 2.34, 95% CI: 1.31-4.19). Regarding metabolic diseases, the TyG index was significantly higher in patients with obstructive sleep apnea (OSA) (SMD = 0.86, 95% CI: 0.57-1.15), metabolic syndrome (MD = 0.83, 95% CI: 0.74-0.93), and non-alcoholic fatty liver disease (NAFLD) (OR = 2.36, 95% CI: 1.88-2.97) compared to those without these conditions. In cerebrovascular diseases, a higher TyG index was significantly associated with an increased risk of dementia (OR = 1.14, 95% CI: 1.12-1.16), cognitive impairment (OR = 2.31, 95% CI: 1.38-3.86), and ischemic stroke (OR = 1.37, 95% CI: 1.22-1.54). For cardiovascular outcomes, the TyG index showed significant associations with an increased risk of heart failure (HF) (HR = 1.21, 95% CI: 1.12-1.30), atrial fibrillation (AF) (SMD = 1.22, 95% CI: 0.57-1.87), and hypertension (HTN) (RR = 1.52, 95% CI: 1.25-1.85).

The TyG index is a promising biomarker for screening and predicting various medical conditions, particularly those related to insulin resistance and metabolic disorders. However, the heterogeneity and methodological quality of the included studies suggest the need for further high-quality research to confirm these findings and refine the clinical utility of the TyG index.

Experimental studies indicate a role for galectin-1 and galectin-3 in metabolic disease, but clinical evidence from larger populations is limited.

We measured circulating levels of galectin-1 and galectin-3 in the Prospective investigation of Obesity, Energy and Metabolism (POEM) study, participants (n = 502, all aged 50 years) and characterized the individual association profiles with metabolic markers, including clinical measures, metabolomics, adipose tissue distribution (Imiomics) and proteomics.

Galectin-1 and galectin-3 were associated with fatty acids, lipoproteins and triglycerides including lipid measurements in the metabolomics analysis adjusted for body mass index (BMI). Galectin-1 was associated with several measurements of adiposity, insulin secretion and insulin sensitivity, while galectin-3 was associated with triglyceride-glucose index (TyG) and fasting insulin levels. Both galectins were associated with inflammatory pathways and fatty acid binding protein (FABP)4 and -5-regulated triglyceride metabolic pathways. Galectin-1 was also associated with several proteins related to adipose tissue differentiation.

The association profiles for galectin-1 and galectin-3 indicate overlapping metabolic effects in humans, while the distinctly different associations seen with fat mass, fat distribution, and adipose tissue differentiation markers may suggest a functional role of galectin-1 in obesity.

Waist circumference (WC) and fasting plasma glucose (FPG) have been demonstrated as risk factors for type 2 diabetes mellitus (T2DM). Evidence is limited regarding the association of the combination of WC and FPG (WyG) with the risk of T2DM. The primary aim of the study was to investigate the relationship between WyG and T2DM.

The current study was a population-based cohort study using data from the NAGALA database. Participants were divided into tertiles based on WyG. Cox proportional hazard regression model was applied to identify the association of WyG with T2DM.

During a median follow-up of 6.19 years in the normoglycemia group and 5.58 years in the prediabetes group, respectively, 88 and 285 individuals in the two groups received a diagnosis of T2DM. After full adjustment, risk of T2DM increased in step-wise fashion with increasing tertiles of WyG. For a per-SD increase in WyG, the hazard ratios for T2DM were 3.05 (95% CI 2.64 - 3.51) in all populations, 1.94 (95% CI 1.46 - 2.58) in the normoglycemia group and 1.63 (95% CI 1.40 - 1.90) in the prediabetes group. The interaction between WyG and fatty liver on T2DM was statistically significant in the prediabetes group (P for interaction = 0.034).

Elevated WyG was independently associated with incident T2DM in Japan. Baseline WyG help identify individuals at high risk of T2DM and implement effective preventive measures.

Introduction The present study aimed to evaluate the associations between the clinical and biochemical characteristics of women with gestational diabetes (GDM) and the incidence of large for gestational age (LGA) babies. Methods This cohort study included data collected during prenatal follow-up of GDM women from January 2008 to August 2022. Clinical and biochemical variables were compared among small (SGA), adequate (AGA), or large for gestational age (LGA) babies. Associations of the main variables with the incidence of LGA were determined by multiple regression analysis. Results Out of 659 women, 56 had LGA, 547 had AGA, and 56 had SGA babies. We observed differences in the means of age, pregestational body mass index (BMI), high-density lipoproteins-cholesterol (HDL-C) levels, gestational weight gain (GWG), and gestational age at birth according to LGA, AGA, and SGA (p < 0.05). All other variables were not different between the groups. The frequencies (%) and relative risk (RR) of LGA babies were evaluated according to HDL-C in the first tertile and/or obesity, with 12.2% and risk ratio (RR)=2.77 (95% confidence interval (CI) 1.35-5.69, p=0.005) if the women had obesity and HDL in the first tertile, 11.3% and RR=2.27 (95% CI 1.03-5.03, p=0.042) if only HDL in the first tertile was present, 10.9% and RR=2.68 (95% CI 1.31-5.48, p=0.007) if the women had only obesity, using as a reference group those women without obesity or HDL-C in the first tertile (4.6% and RR=1) adjusted for age, age at birth and GWG. Conclusion In women with GDM, lower levels of HDL-cholesterol during pregnancy, as well as pregestational obesity, seem to be good predictors of the occurrence of LGA babies.

Triglyceride-glucose (TyG) index is an emerging marker of adverse cardiometabolic conditions such as cardiovascular disease and type 2 diabetes. The long-term relevance of TyG index to chronic kidney disease (CKD) is uncertain. We aimed to assess the association of TyG index with CKD risk and its utility in risk prediction in a prospective study. The TyG index was calculated using fasting triglycerides and fasting plasma glucose (FPG) levels measured in 2362 men aged 42-61 years with normal kidney function using the formula: Ln (fasting triglycerides [mg/dL] × FPG [mg/dL]/2). Multivariable adjusted hazard ratios (HRs) (95% confidence intervals, CIs) were estimated for CKD. Correction for within-person variability was made using data from repeat measurements of triglycerides and FPG taken 11 years after baseline. Over a median follow-up duration of 17.5 years, 223 CKD cases were recorded. The age-adjusted regression dilution ratio for the TyG index was 0.54 (95% CI, 0.48-0.60). The risk of CKD increased continuously with increasing TyG index across the range 9.3 to 11.6 (p value for nonlinearity<.001). In analysis adjusted for established risk factors, a unit higher TyG index was associated with an increased risk of CKD (HR 1.59, 95% CI 1.24-2.05). Comparing extreme tertiles of the TyG index, the corresponding adjusted HR (95% CI) for CKD was 1.61 (1.15-2.27). Addition of the TyG index to a CKD risk prediction model containing established risk factors improved risk discrimination and reclassification (p value for difference in -2 log likelihood<.001; NRI=47.66%, p=.014; IDI=0.0164, p<.001). Higher TyG index is associated with an increased risk of CKD and improves the prediction and classification of CKD beyond established risk factors. Using single baseline estimations of the TyG index to investigate its association with CKD risk could considerably under-estimate the true association.

 Early detection of type 2 diabetes mellitus (T2DM) is imperative to prevent the complications associated with the disease. Current guidelines for diagnosis rely on the assessment of serum glucose (fasting and post-prandial) and glycosylated hemoglobin (HbA1c) levels. Insulin resistance, a phenomenon associated with T2DM, has been observed before the changes in these metrics. The homeostatic model assessment for insulin resistance (HOMA-IR) has been widely used to assess the degree of insulin resistance. The triglyceride-fasting glucose (TyG) index is a newer marker of insulin resistance that merits further study.  Aim: The study aimed to assess the validity of the TyG index and HOMA-IR as markers for the development of T2DM in non-obese individuals.  Materials and methods: One hundred eight non-obese patients without T2DM were included in this prospective cohort study and followed up for eight years. Anthropometric and biochemical parameters, including fasting glucose levels, HbA1c, fasting serum insulin, low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglycerides (TG), were measured at enrolment and eight years follow-up, and HOMA-IR and TyG index were calculated.  Results: Twenty participants out of 108 (18.5%) developed T2DM over eight years. On performing the area under the curve (AUC)-receiver operating characteristic curve analysis, TyG of >8.61 and HOMA-IR of >1.5 had the highest validity (ability) to predict new-onset T2DM in the study population (TyG: AUC: 0.612 (95% CI: 0.514-0.705); HOMA-IR: AUC: 0.529 (95% CI: 0.431-0.626)); however, this was not statistically significant.  Conclusion: At an eight-year follow-up, TyG and HOMA-IR were unreliable predictors of the development of T2DM in non-obese individuals.

Type 2 diabetes, a metabolic disease that involves extended treatment, is rapidly increasing in humans and animals worldwide.

This study aimed to compare monotherapy and combined therapy of exenatide, empagliflozin, and quercetin in 67 Wistar Albino male rats.

The animals were divided into the following seven groups: healthy control, diabetes control, diabetes + sham, diabetes + exenatide (10 μg/kg), diabetes + empagliflozin (50 mg/kg), diabetes + quercetin (50 mg/kg), and diabetes + combination treatment. The treatments were continued for 8 weeks.

At the end of the experiment, glucose and HbA1c levels decreased with all monotherapy treatments and the combination treatments, while insulin levels increased with exenatide and combined treatments. Adiponectin levels increased with empagliflozin, quercetin, and combined treatments, while leptin levels decreased only with combined treatments. All monotherapies caused an increase in total antioxidant levels. Exenatide and quercetin treatments reduced low-density lipoprotein (LDL) levels; therewithal, exenatide and combined treatments increased high-density lipoprotein (HDL) levels. Triglyceride levels decreased in all treatment groups. The homeostatic model assessment for insulin resistance (HOMA-IR) level decreased with the combined treatment; on the contrary, the homeostatic model assessment for β-cell activity (HOMA-β) level increased with empagliflozin, exenatide, and combined treatments.

In conclusion, the antidiabetic effects of exenatide were more pronounced than empagliflozin and quercetin, however, the combined treatment had better antidiabetic and antihyperlipidemic effects than monotherapies. Quercetin could be a supportive or food supplement antidiabetic agent. The exenatide treatment can be recommended for monotherapy in type 2 patients, and the combination of empagliflozin, exenatide, and quercetin may be effective in diabetic patients who need combined therapy.

Emerging publications indicate that diabetes predisposes patients with COVID-19 to more severe complications, which is partly attributed to inflammatory condition. In the current review, we reviewed recent published literature to provide evidence on the role of insulin resistance (IR) in diabetes, the association between diabetes and COVID-19 severity and mortality, the impact of COVID-19 infection on incident new-onset diabetes, mechanisms responsible for IR in COVID-19 patients, and the predictive value of different surrogates of IR in COVID-19.

The literature search performs to find out studies that have assessed the association between IR surrogates and morbidity and mortality in patients with COVID-19.

We showed that there is a bulk of evidence in support of the fact that diabetes is a potent risk factor for enhanced morbidity and mortality in COVID-19 patients. COVID-19 patients with diabetes are more prone to remarkable dysglycemia compared to those without diabetes, which is associated with an unfavourable prognosis. Furthermore, SARS-COV2 can make patients predispose to IR and diabetes via activating ISR, affecting RAAS signaling pathway, provoking inflammation, and changing the expression of PPARɣ and SREBP-1. Additionally, higher IR is associated with increased morbidity and mortality in COVID-19 patients and different surrogates of IR can be utilized as a prognostic biomarker for COVID-19 patients.

Different surrogates of IR can be utilized as predictors of COVID-19 complications and death.

Metabolic syndrome (MetS) is a cluster of risk factors related to diabetes and cardiovascular disease (CVD). Given that early identification of MetS might decrease CVD risk, it is imperative to establish a simple and cost-effective method to identify individuals at risk of MetS. The purpose of this study was to explore the relationships between several atherogenic indices (including AIP, TyG index, non-HDL-C, LDL-c/HDL-c, and TC/HDL-c) and MetS, and to assess the ability of these indices to predict MetS.

The present cross-sectional study was conducted using baseline data from 9809 participants of the Hoveyzeh Cohort Study (HCS). MetS was defined based on the International Diabetes Federation (IDF). To examine the discriminatory abilities of each atherogenic indices in the identification of MetS, a receiver-operating characteristic curve was conducted. Logistic regression analysis was also performed to evaluate the relationship between atherogenic indices and MetS.

All of the atherogenic indices including the TyG index, AIP, non-HDL-C, TC/HDL-c, and LDL-c/HDL-c were significantly higher in participants with MetS than in those without MetS. According to the ROC curve analysis, the TyG index revealed the highest area under the curve (0.79 and 0.85 in men and women, respectively), followed by the AIP (0.76 and 0.83 in men and women, respectively). The best cutoff values for the TyG index and AIP were 8.96 and 0.16 for men and 8.84 and 0.05 for women, respectively. The TyG index and AIP were also strongly associated with MetS.

Among the 5 atherogenic indices evaluated, the TyG index and AIP were strongly related to MetS. The TyG index also demonstrated superior discriminative ability compared to other atherogenic indices in predicting MetS.

Numerous meta-analyses have explored the association between the triglyceride-glucose (TyG) index and diverse health outcomes, yet the comprehensive assessment of the scope, validity, and quality of this evidence remains incomplete. Our aim was to systematically review and synthesise existing meta-analyses of TyG index and health outcomes and to assess the quality of the evidence.

A thorough search of PubMed, EMBASE, and Web of Science databases was conducted from their inception through to 8 April 2024. We assessed the quality of reviews using A Measurement Tool to Assess Systematic Reviews (AMSTAR) and the certainty of the evidence using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system. This study was registered with PROSPERO (CRD: 42024518587).

Overall, a total of 95 associations from 29 meta-analyses were included, investigating associations between TyG index and 30 health outcomes. Of these, 83 (87.4%) associations were statistically significant (P < 0.05) according to the random effects model. Based on the AMSTAR tool, 16 (55.2%) meta-analyses were high quality and none was low quality. The certainty of the evidence, assessed by the GRADE framework, showed that 6 (6.3%) associations were supported by moderate-quality evidence. When compared with the lowest category of the TyG index, the risk of contrast-induced nephropathy (CIN) [relative risk (RR) = 2.25, 95%CI 1.82, 2.77], the risk of stroke in patients with diabetes mellitus (RR = 1.26, 95%CI 1.18, 1.33) or with acute coronary syndrome disease (RR = 1.56, 95%CI 1.06, 2.28), the prognosis of coronary artery disease (CAD)-non-fatal MI (RR = 2.02, 95%CI 1.32, 3.10), and the severity of CAD including coronary artery stenosis (RR = 3.49, 95%CI 1.71, 7.12) and multi-vessel CAD (RR = 2.33, 95%CI 1.59, 3.42) increased with high TyG index.

We found that the TyG index was positively associated with many diseases including the risk of CIN and stroke, the prognosis of CAD, and the severity of CAD which were supported by moderate-quality evidence. TyG index might be useful to identify people at high-risk for developing these diseases.

We explored the role of the triglyceride-glucose (TyG) index as an early and superior predictor of type 2 diabetes mellitus (T2DM) in individuals with normal glucose tolerance (NGT) using a community-based Korean cohort over 18 years.

We retrospectively examined 6,072 adults with NGT from the Korean Genome and Epidemiology Study. Cox proportional hazard regression models were employed to evaluate the risk of incidence of T2DM and receiver operating characteristic analysis was used to calculate the area under the curve (AUC).

At baseline, the TyG index correlated with the homeostasis model assessment of insulin resistance (HOMA-IR) and the composite insulin sensitivity index (ISI) (β: 0.045, p < 0.001; β: -0.105, p < 0.001, respectively). Over the 18-year follow-up period, 999 individuals developed T2DM. An increase in the TyG quartile independently predicted the incidence of T2DM [hazard ratio, 2.36 (1.9-2.93) for Q4]. The AUC value of the TyG index was 0.642, the highest value among HOMA-IR and OGTT-derived insulin sensitivity and secretion markers.

The TyG index is associated with HOMA-IR and composite ISI even with NGT. The TyG index demonstrated independent predictability for T2DM incidence in individuals with NGT, better than OGTT-derived insulin sensitivity and secretion markers.

The triglycerides and glucose (TyG) index is a reliable biomarker for estimating insulin resistance; however, evidence regarding the use of the TyG index in individuals with metabolically healthy obesity (MHO) is scarce. Thus, we examined the association between the TyG index and the MHO phenotype.

Apparently healthy men and women aged 18 years or more with obesity (body mass index [BMI] ≥ 30 kg/m2) were allocated into the following groups: MHO and metabolically unhealthy obesity (MUO). The MHO phenotype was defined by obesity and the absence of the following metabolic disorders: elevated triglyceride concentrations, elevated glucose levels, elevated blood pressure, and low HDL-C. The MUO was defined by individuals with obesity and at least one of the aforementioned cardiovascular risk factors.

A total 827 individuals, 605 (73.1%) women and 222 (26.9%) men were enrolled and allocated into the MHO (n = 104) and MUO (n = 723) groups. The adjusted regression analysis by age, sex, BMI, and waist circumference showed that fasting glucose (OR = 0.90; 95% CI: 0.88-0.93), and triglycerides (OR = 0.97; 95% CI: 0.96-0.98), as well as the triglycerides/HDL-C (OR = 0.18; 95% CI: 0.13-0.26), lipid accumulation product (OR = 0.95; 95% CI: 0.93-0.96), visceral adipose index (OR = 0.38; 95% CI: 0.31-0.46), and TyG index (OR = 0.001; 95% CI: 0.000-0.004) are inversely associated with the MHO, while the HDL-C (OR = 1.10; 95% CI: 1.07-1.12) had a direct association.

Our results show that the TyG index is more strongly associated with the MHO phenotype than the lipid and obesity indices.

Colorectal polyps (CPs) are frequently occurring abnormal growths in the colorectum, and are a primary precursor of colorectal cancer (CRC). The triglyceride-glucose (TyG) index is a novel marker that assesses metabolic health and insulin resistance, and has been linked to gastrointestinal cancers.

To investigate the potential association between the TyG index and CPs, as the relation between them has not been documented.

A total of 2537 persons undergoing a routine health physical examination and colonoscopy at The First People's Hospital of Kunshan, Jiangsu Province, China, between January 2020 and December 2022 were included in this retrospective cross-sectional study. After excluding individuals who did not meet the eligibility criteria, descriptive statistics were used to compare characteristics between patients with and without CPs. Logistic regression analyses were conducted to determine the associations between the TyG index and the prevalence of CPs. The TyG index was calculated using the following formula: Ln [triglyceride (mg/dL) × glucose (mg/dL)/2]. The presence and types of CPs was determined based on data from colonoscopy reports and pathology reports.

A nonlinear relation between the TyG index and the prevalence of CPs was identified, and exhibited a curvilinear pattern with a cut-off point of 2.31. A significant association was observed before the turning point, with an odds ratio (95% confidence interval) of 1.70 (1.40, 2.06), P < 0.0001. However, the association between the TyG index and CPs was not significant after the cut-off point, with an odds ratio (95% confidence interval) of 0.57 (0.27, 1.23), P = 0.1521.

Our study revealed a curvilinear association between the TyG index and CPs in Chinese individuals, suggesting its potential utility in developing colonoscopy screening strategies for preventing CRC.

Body mass index (BMI) and fasting plasma glucose (FPG) are known risk factors for type 2 diabetes mellitus (T2DM), but data on the prospective association of the combination of BMI and FPG with T2DM are limited. This study sought to characterize the association of the combination of BMI and FPG (ByG) with T2DM.

The current study used the NAGALA database. We categorized participants by tertiles of ByG. The association of ByG with T2DM was expressed with hazard ratios (HRs) with 95% confidence intervals (CIs) after adjustment for potential risk factors.

During a median follow-up of 6.19 years in the normoglycemia cohort and 5.58 years in the prediabetes cohort, the incidence of T2DM was 0.75% and 7.79%, respectively. Following multivariable adjustments, there were stepwise increases in T2DM with increasing tertiles of ByG. After a similar multivariable adjustment, the risk of T2DM was 2.57 (95% CI 2.26 - 2.92), 1.97 (95% CI 1.53 - 2.54) and 1.50 (95% CI 1.30 - 1.74) for a per-SD change in ByG in all populations, the normoglycemia cohort and the prediabetes cohort, respectively.

ByG was associated with an increased risk of T2DM in Japan. The result reinforced the importance of the combination of BMI and FPG in assessing T2DM risk.

The connection between the triglyceride-glucose index (TyG index) and gestational diabetes mellitus (GDM) is currently debated. Our study aimed to investigate the connection between the TyG index and GDM within the Korean population.

Using publically accessible data in Korea, we performed a secondary study on a sample of 589 pregnant women who were carrying a single fetus. The analysis employed a binary logistic regression model, some sensitivity analyses, and subgroup analysis to investigate the association between the TyG index and the occurrence of GDM. To assess the TyG index's potential to predict GDM, a receiver operating characteristic (ROC) study was also carried out.

The mean age of the pregnant women was 32.065 ± 3.798 years old, while the mean TyG index was 8.352 ± 0.400. The prevalence rate of GDM was found to be 6.112%. Upon adjusting for potential confounding variables, a positive association was detected between the TyG index and incident GDM (OR = 12.923, 95%CI: 3.581-46.632, p = 0.00009). The validity of this connection was further confirmed by subgroup analysis and sensitivity analyses. With an area under the ROC curve of 0.807 (95%CI: 0.734-0.879), the TyG index showed strong predictive power for GDM. The TyG index's ideal cutoff value for detecting GDM was found to be 8.632, with a sensitivity of 78.7% and a specificity of 72.2%.

The findings of our study provide evidence that an increased TyG index is significantly associated with the occurrence of GDM. Utilizing the TyG index during the 10-14 week gestational period may be a valuable tool in identifying pregnant individuals at a heightened risk for developing GDM. Early detection enables timely and efficacious interventions, thereby enhancing the prognosis of affected individuals.

The impact of triglyceride-glucose (TyG) index variations on chronic kidney disease (CKD) progression remains unexplored. To investigate the effects of the TyG index and its dynamic changes on CKD progression.

This prospective cohort study included data from 8,418 hypertensive participants. The exposure variable in this study was defined as the difference between the TyG index at the last visit from that at baseline. The study's outcome variable was the progression of CKD, defined as follows: for subjects with an estimated glomerular filtration rate (eGFR) ≥60 mL/min, a ≥30% decrease in eGFR with a final follow-up value <60 mL/min; for those with an eGFR <60 mL/min, a ≥50% decrease in eGFR; or terminal renal failure requiring dialysis.

During a median follow-up period of 48 months, 1077 patients were diagnosed with CKD progression. In the fully adjusted Model 3, patients with a change in the TyG index <0 exhibited a significantly decreased 13% risk of CKD progression (HR: 0.87, 95% CI: 0.76-0.98) compared to those with a change in the TyG index≥0 group. Subgroup analyses showed that changes in the TyG index significantly increased the risk of CKD progression only in patients with diastolic blood pressure (DBP) <90mmHg. In the path analysis, baseline TyG was associated with follow-up eGFR (the standard regression coefficient was 1.26 [95% CI, 0.45-2.06]).

Our findings suggest that TyG variability may serve as a useful tool for identifying individuals at risk of CKD progression, particularly hypertensive patients with normal DBP levels.

Thyroid cancer has shown a parallel increase with diabetes in the last few years. This narrative review aims to explain the association between these two entities, focusing on insulin resistance as the mediator and exploring the effects of antidiabetic agents on thyroid cancer incidence and progression.We searched Pubmed for English-written articles on insulin resistance, diabetes, antidiabetic treatments, and thyroid cancer reported from January 2019 to April 2023. Exclusion criteria were preclinical and clinical studies involving a population with thyroid dysfunction, benign nodular goiter, or those that only analyzed thyroid cancer's association with obesity.The results of the narrative literature review revealed 96 articles. Additionally, four studies from a manual search were retrieved. After the exclusion criteria were applied, we included 20 studies. Out of 8 studies on insulin-resistant or Metabolic Syndrome patients, all suggest a positive association with thyroid cancer. At the same time, for diabetes, four out of five publications support a link with thyroid cancer. The seven remaining studies on antidiabetics suggest that metformin might benefit thyroid cancer. In contrast, the evidence for an association between Glucagon-like peptide-1 receptor agonists (GLP-1 RA) and increased thyroid cancer findings is limited.In conclusion, the association between thyroid cancer and diabetes may be explained by insulin resistance, as shown in observational studies. However, the causal role is yet to be defined. Although the wide use of different antidiabetic agents has been related to thyroid cancer prevalence and progression, future research with drugs such as metformin or GLP-1 RA is still needed.

There were seven novel and easily accessed insulin resistance (IR) surrogates established, including the Chinese visceral adiposity index (CVAI), the visceral adiposity index (VAI), lipid accumulation product (LAP), triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC) and TyG-waist to height ratio (TyG-WHtR). We aimed to explore the association between the seven IR surrogates and incident coronary heart disease (CHD), and to compare their predictive powers among Chinese population.

This is a 10-year prospective cohort study conducted in China including 6393 participants without cardiovascular disease (CVD) at baseline. We developed Cox regression analyses to examine the association of IR surrogates with CHD (hazard ratio [HR], 95% confidence intervals [CI]). Moreover, the receiver operating characteristic (ROC) curve was performed to compare the predictive values of these indexes for incident CHD by the areas under the ROC curve (AUC).

During a median follow-up period of 10.25 years, 246 individuals newly developed CHD. Significant associations of the IR surrogates (excepted for VAI) with incident CHD were found in our study after fully adjustment, and the fifth quintile HRs (95% CIs) for incident CHD were respectively 2.055(1.216-3.473), 1.446(0.948-2.205), 1.753(1.099-2.795), 2.013(1.214-3.339), 3.169(1.926-5.214), 2.275(1.391-3.719) and 2.309(1.419-3.759) for CVAI, VAI, LAP, TyG, TyG-BMI, TyG-WC and TyG-WHtR, compared with quintile 1. Furthermore, CVAI showed maximum predictive capacity for CHD among these seven IR surrogates with the largest AUC: 0.632(0.597,0.667).

The seven IR surrogates (excepted for VAI) were independently associated with higher prevalence of CHD, among which CVAI is the most powerful predictor for CHD incidence in Chinese populations.

Triglyceride glucose (TyG) represents a consistent surrogate biomarker and index of insulin resistance (IR), IR has also been linked to skeletal muscle mass loss (SMM-L). Here, we evaluated the association between SMM-L and the TyG index (TyGi).

An analytical cross-sectional study.

Tertiary care hospitals.

36 275 participants who underwent health checks between 1 January 2013 and 31 December 2020.

A bioelectrical impedance analysis was used to assess the body composition, SMM-L was defined as low ASMI (total limb lean mass/height2) and TyGi was calculated as ln(triglycerides (mg/dL)×fasting blood glucose (mg/dL)/2).

A total of 36 275 subjects were included in the study, of which 58.46% were male, with a mean age of 43.74±12.33 years. The prevalence of low skeletal muscle mass (SMM) was 17.7% and the mean TyGi was 8.56±0.64. TyGi was found to be significantly correlated with low SMM in all subjects (OR 1.87, 95% CI 1.75 to 2.00, p<0.001), with higher correlations seen in younger subjects (OR 1.97, 95% CI 1.77 to 2.20, p<0.001), and remaining significant in middle age (OR 1.95, 95% CI 1.77 to 2.14, p<0.001), old age (OR 1.73, 95% CI 1.38 to 1.16, p<0.001), men (OR 1.60, 95% CI 1.46 to 1.76, p<0.001) and women (OR 2.59, 95% CI 2.39 to 2.87, p<0.001).

These data demonstrated a significant independent interaction between TyGi and low SMM in all subjects regardless of sex and age subgroups in the general population.

The triglyceride-glucose (TyG) index is a new, simple, and inexpensive marker of insulin resistance that is becoming increasingly important as a promising predictor of diseases such as atherosclerosis. Atherosclerosis is the main cause of lower extremity arterial disease (LEAD). In this study, we investigated the relationship between TyG index values and LEAD risk in patients with diabetes.

Patients with diabetes hospitalized at the Endocrinology Department of our hospital from June 1, 2021, to May 31, 2022, were retrospectively included. Baseline data, biochemical indicators, and ankle-brachial index values were collected. Statistical methods were used to assess the relationship between TyG index values and the risk of LEAD.

A total of 1,040 hospitalized patients with diabetes were included, they were divided into the LEAD group with 168 patients and the no LEAD group with 872 patients. TyG index values in the LEAD group were higher than those in the no LEAD group (9.94 ± 0.78 vs. 9.36 ± 0.70, P < 0.001). TyG index values were independently correlated with LEAD risk in patients with diabetes (odds ratio = 3.92, 95% confidence interval (CI): 2.92-5.26, P < 0.001) in multivariate logistic regression analysis after adjusting for different risk factors (all P < 0.05). The area under the receiver operating characteristic curve was 0.72 (95% CI: 0.68-0.76) when TyG index values were used to diagnose LEAD in patients with diabetes. When Youden's index reached the maximum value of 0.34, the optimal TyG index threshold for predicting the onset of diabetic LEAD was 9.56, sensitivity was 71.1%, and specificity was 63.0%.

Increases in TyG index values were associated with the risk of LEAD in patients with diabetes and, thus, may be used as a predictor of LEAD in this patient population, especially in primary care institutions with relatively few resources.

The Triglyceride-glucose (TyG) index has been acknowledged as a convenient, cost-effective, and relatively simple marker for insulin resistance (IR). Meanwhile, prediabetes, described as an asymptomatic, moderately hyperglycemic state, tends to be more prevalent than diabetes. Thus, the objective of this study was to explore the relationship between the TyG index and the prevalence of both prediabetes and diabetes within the U.S. population.

This study utilized a cross-sectional dataset derived from the National Health and Nutrition Survey (NHANES) spanning 1999 to 2018. The subjects were individuals aged 18 years and above, who had available fasting glucose and fasting triglyceride information, permitting a diagnosis of prediabetes or diabetes. The TyG index was computed using laboratory data, and participants were subsequently categorized into quartiles based on this information. The relationship between the TyG index and the prevalence of prediabetes and diabetes was investigated using logistic regression analysis.

Out of the 25,159 participants, 23.88% were found to have prediabetes, while 16.22% were diagnosed with diabetes. After adjusting for confounding factors, a linear increase in relative odds was observed in Q2 (OR: 1.69; 95% CI: 1.52, 1.89), Q3 (OR: 2.57; 95% CI: 2.30, 2.88), and Q4 (OR: 4.88; 95% CI: 4.33, 5.49) groups in comparison to the reference group, Q1. In addition, a non-linear relationship was observed between the TyG index and the prevalence of prediabetes and diabetes. Specifically, patients with a TyG index greater than 8.00 overall exhibited a significantly higher risk of prediabetes and diabetes, confirming that an increase in the TyG index is associated with a corresponding increase in risk. However, this shift showed gender-specific variations; the threshold was observed at 8.00 in males but shifted to 9.00 in females.

The TyG index demonstrated a non-linear positive correlation with both prediabetes and diabetes. This suggests that maintaining the TyG index at a certain, reduced level could potentially aid in preventing the onset of prediabetes and diabetes.

To investigate oral infections in patients suffering in-stent restenosis (ISR) and non-ISR and analyze the possible correlation between the oral infection and triglyceride-glucose (TyG) index, a clinical surrogate indicator of insulin resistance (IR).

A cross-sectional design was used, in which 586 patients with acute coronary syndrome who underwent coronary angiography 6-24 months after coronary stent implantation were recruited. The modified total dental index (TDI) was used to evaluate the status of oral inflammation.

In both univariate analyses, TDI scores [3 (1.5, 4.5) vs. 2.5 (1.5, 4.0), p < 0.01] and a multivariate regression model (OR = 1.202, 95% CI = 1.085-1.333, p < 0.01), the TDI significantly correlated with ISR. The TyG index was positively associated with ISR (OR = 1.766, 95% CI = 1.055-2.957, p < 0.05). Correlation analysis showed that TDI was positively correlated with TyG index (r = 0.190, p < 0.01). Using linear regression analysis, higher TDI scores were significantly associated with IR (95% CI = 0.029-0.063, p < 0.01).

Oral infections and TyG index were independently and positively correlated with ISR in patients with acute coronary syndrome. Oral inflammatory burden assessed by TDI score was associated with IR.

We evaluated the association between the triglyceride-glucose (TG) index, a marker of insulin resistance, and obstructive sleep apnoea (OSA) severity in patients without diabetes mellitus, obesity, and metabolic syndrome.

This retrospective cohort study included 1,527 patients. We used univariate and multivariate analyses to identify the independent predictors associated with OSA.

Most patients were males (81.5%) with a mean age of 43.9 ± 11.1 (15-90) years. Based on the apnoea-hypopnea index (AHI), 353 (23.1%) patients were included in the control group, whereas 32.4%, 23.5%, and 21% had mild, moderate, and severe OSA, respectively. The TG index values demonstrated significant associations with OSA patients compared with the control group (p = 0.001). In addition, the mean values of the oxygen desaturation index (ODI), AHI, minimum oxygen saturation, and total sleep time percentage with saturation below 90% demonstrated statistically significant differences among the TG index groups (p: 0.001; p:0.001; p:0.001; p:0.003). The optimal TG index cutoff value to predict OSA was 8.615 (AUC = 0.638, 95% CI = 0.606-0.671, p = 0.001). In multivariate logistic regression analysis, after adjusting for age, sex, and body mass index, the TG index was independently associated with OSA patients.

The TG index is independently associated with increased risk for OSA. This indicates that this index, a marker for disease severity, can be used to identify severe OSA patients on waiting lists for PSG.

Traditional metabolic syndrome (MetS) criteria have several limitations, which hinder its use in clinical practice. To overcome the limitations, we investigated the association between age- and sex-specific continuous MetS severity score (cMetS-S) and cardiovascular disease (CVD) and mortality beyond MetS components in the framework of the Tehran Lipid and Glucose Study. Participants aged 20-60 years at baseline were included in the study. We excluded participants with CVD, cancer, use of corticosteroids, estimated glomerular filtration rate < 30 ml/min/1.73 m2, and those who were pregnant. We evaluated the association between cMetS-S with CVD and mortality over 18 years of follow-up among 8500 participants with continuous and quantile approaches using the Cox proportional hazard regression model. In addition, the model performance of cMetS-S for predicting CVD events was compared to the conventional MetS criteria. Participants with higher cMetS-S had a significantly increased risk for CVD, coronary (CHD) and non-coronary heart disease (non-CHD), and all-cause, cardiovascular, and sudden cardiac death. Independent of the confounders and MetS components, the cMetS-S had the HRs of 1.67 (95% CI 1.47-1.89), 1.60 (95% CI 1.37-1.86), and 1.88 (95% CI 1.50, 2.35) for CVD, CHD, and non-CHD events upon 1-SD increment, respectively. The risk of mortality was increased for 1-SD of cMetS-S (all-cause mortality, HR 1.24; 95% CI 1.09-1.41; CVD mortality, HR 1.72; 95% CI 1.20-2.45; sudden cardiac death, HR 1.60; 95% CI 1.03-2.49). The model fitness of cMetS-S was superior to the conventional MetS criteria in predicting CVD and mortality. The cMetS-S provided an additional risk for CVD and mortality beyond the individual MetS components. Standardized cMetS-S could be a potential universal measure to define MetS severity while considering the weighted contribution of MetS components and their variations by age, sex, and ethnicity.