Detection Of Insulin Resistance Research Articles

A retrospective study utilized MIMIC-IV database to explore the potential association between triglyceride-glucose index and mortality in critically ill patients with sepsis

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.

Insulin resistance and sarcopenia: a prognostic longitudinal link to stroke risk in middle-aged and elderly Chinese population

BackgroundStroke is the leading cause of death in middle-aged and elderly people in China. Insulin resistance (IR) and sarcopenia are both closely associated with metabolic diseases. However, the relationship between these two indicators and stroke has not been fully investigated. The aim of this study was to investigate the relationship between IR and sarcopenia and the risk of new-onset stroke.MethodsUsing longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018, Cox proportional hazards models were used to determine the association between IR surrogate indicators and sarcopenia status with stroke incidence.ResultsIn the present study, during a median 7 years of follow-up, we included 7009 middle-aged and elderly residents, of whom 515 presented with stroke incidence. After adjustment for potential confounders, both baseline IR surrogates and sarcopenia independently predicted stroke risk. In addition, co-morbidities had a higher risk of stroke than other groups. The positive association between TyG-WC and sarcopenia on stroke risk was particularly significant [HR (95% CI): 2.03 (1.52, 2.70)]. In subgroups of different ages and sexes, the combination of IR and sarcopenia is associated with the highest risk of stroke.ConclusionsWe found that IR and sarcopenia synergistically increase the incidence of stroke in older adults. This finding provides new perspectives for stroke detection and intervention and highlights the importance of early detection and management of IR and sarcopenia in older adults.

Biomarkers and Data Visualization of Insulin Resistance and Metabolic Syndrome: An Applicable Approach.

Type 2 diabetes, prediabetes, and insulin resistance (IR) are widespread yet often undetected in their early stages, contributing to a silent epidemic. Metabolic Syndrome (MetS) is also highly prevalent, increasing the chronic disease burden. Annual check-ups are inadequate for early detection due to conventional result formats that lack specific markers and comprehensive visualization. The aim of this study was to evaluate low-budget biochemical and hematological parameters, with data visualization, for identifying IR and MetS in a community-based laboratory. In a cross-sectional study with 1870 participants in Patras, Greece, blood samples were analyzed for key cardiovascular and inflammatory markers. IR diagnostic markers (TyG-Index, TyG-BMI, Triglycerides/HDL ratio, NLR) were compared with HOMA-IR. Innovative data visualization techniques were used to present metabolic profiles. Notable differences in parameters of cardiovascular risk and inflammation were observed between normal-weight and obese people, highlighting BMI as a significant risk factor. Also, the inflammation marker NHR (Neutrophils to HDL-Cholesterol Ratio) Index was successful at distinguishing the obese individuals and those with MetS from normal individuals. Additionally, a new diagnostic index of IR, combining BMI (Body Mass Index) and NHR Index, demonstrated better performance than other well-known indices. Lastly, data visualization significantly helped individuals understand their metabolic health patterns more clearly. BMI and NHR Index could play an essential role in assessing metabolic health patterns. Integrating specific markers and data visualization in routine check-ups enhances the early detection of IR and MetS, aiding in better patient awareness and adherence.

Development of a preliminary clinical approach for detecting insulin resistance for normoglycemic control in canine diabetes

Development of a preliminary clinical approach for detecting insulin resistance for normoglycemic control in canine diabetes

Assessing the Utility of the Metabolic Score for Insulin Resistance (METS-IR) in Evaluating Metabolic Risk Among Individuals Undergoing Master Health Checkups in a Tertiary Care Hospital in South India: A Retrospective Cohort Study.

Background The metabolic score for insulin resistance (METS-IR) is a neoteric score for assessing insulin resistance that has been used as a non-insulin-based, objectively measured method. It is an easily accessible tool that can be used on a large scale to detect insulin resistance in a community. Methods We conducted a retrospective cohort study to explore the utility of this score in identifying metabolic risk in those individuals attending a master health checkup in a tertiary care setting. Data were collected from 254 individuals between October and December 2023. Results According to the univariate regression analysis, METS-IR had a strong correlation in predicting cardiovascular health risks, as evidenced by its positive linear association with an increase in age (β=0.186, p=0.003), weight (β=0.534, p<0.001), waist circumference (β=0.405, p<0.001), and body mass index (BMI; β=0.635, p<0.001). This explained the value of this score in depicting adiposity and insulin resistance. Lab parameters that showed a significant association were fasting blood sugar (β=0.176, p=0.005) and fasting triglycerides (β=0.175, p=0.005). According to the multivariate regression analysis, METS-IR had a significant positive association with fasting blood sugar (B=0.489, p<0.001) and fasting triglycerides (B=0.022, p=0.003), implicating its importance in cardiovascular health. High-density lipoprotein cholesterol (HDL-c; B=-0.168, p=0.005) confirmed its protective role with its negative association in higher quartile groups. An increase in serum albumin levels (B=-0.168, p=0.005) and raised gamma-glutamyl transpeptidase (GGT) (B=0.059, p=0.022) portrays its due diligence in liver health. METS-IR had a weak association with the estimated glomerular filtration rate (eGFR) with Pearson's correlation coefficient of 0.020 (p=0.756) and Spearman's rho of 0.021 (p=0.739). However, raised serum creatinine had a significant association in higher quartile groups, with a p-value of 0.018. Conclusions METS-IR is useful as a screening tool for predicting cardiovascular disease. However, the complex interplay of other confounding factors in identifying renal dysfunction has yet to be explored when considering this score in our study population.

The undervalued league of insulin resistance testing: uncovering their importance.

Type 2 diabetes, obesity, and several other metabolic diseases are all largely attributed to the problem known as insulin resistance. Diagnosing insulin resistance promptly and accurately is essential for adequately managing and intervening in metabolic disorders. Several diagnostic methods have been developed to assess insulin resistance. However, each method has advantages and disadvantages. The most precise test is the hyperinsulinemic-euglycemic clamp, which examines the direct impact of insulin on glucose uptake by tissues. However, it is primarily utilized in research due to its complexity and intrusiveness. Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) and the Quantitative Insulin Sensitivity Check Index (QUICKI) are the second most used Insulin resistance tests in the clinical setup. These tests are based on measuring the fasting glucose and insulin levels. The Oral Glucose Tolerance Test (OGTT), Insulin tolerance test, and the Matsuda Index are further diagnostic procedures that shed light on insulin sensitivity. The improved techniques, such as the insulin suppression test and the minimal model analysis, provide substitutes for unique clinical circumstances. Additionally, including extra measurements with these tests, like waist circumference, lipid profiles, and inflammatory markers, can improve the evaluation of insulin resistance. In summary, identifying insulin resistance is essential for the early detection and treatment of various metabolic illnesses. To make educated judgments and improve patient care, healthcare workers should be aware of thedifferent available diagnostic tests and how they are used in each situation. Insulin resistance detection and monitoring will require further study to improve current diagnostic approaches and create novel, less invasive techniques.

The U-shape relationship between insulin resistance-related indexes and chronic kidney disease: a retrospective cohort study from National Health and Nutrition Examination Survey 2007–2016

BackgroundThere is ongoing debate on the correlation between chronic kidney disease (CKD) and insulin resistance (IR)-related indices. Our objective was to explore the prognostic ability of IR-related indexes for the prevalence of CKD, as well as the mortality from all causes and cardiovascular disease (CVD) in CKD patients.MethodsThe data used in this study came from the National Health and Nutrition Examination Survey (NHANES). Binary logistic regression analysis, Cox proportional hazards model, and restricted cubic spline (RCS) were used to analyze the relationship between IR-related indexes, including metabolic score of IR (METS-IR), homeostatic model assessment for IR (HOMA-IR), triglyceride glucose index (TyG), triglyceride glucose-waist-to-height ratio (TyG-WHtR), triglyceride glucose-body mass index (TyG-BMI), with CKD and its all-cause mortality and CVD mortality. Subgroup analysis was performed to test the stability of the results. Finally, the predictive power of IR-related indexes for CKD was tested by the receiver operating characteristic (ROC) curve.ResultsAmong the recruited 10,660 participants, 15.42% were CKD patients. All IR-related indexes were found to be nonlinearly correlated to the prevalence of CKD in the study. When the TyG index was higher than 9.05, it was positively associated with CKD (OR: 1.77, 95% CI 1.44–2.18). Moreover, increased TyG-WHtR level was correlated with a greater prevalence of CKD when it was higher than 4.3 (OR: 1.31, 95% CI 1.19–1.45). Other IR-related indexes (METS-IR, HOMA-IR, and TyG-BMI) showed fewer notable correlations with CKD. The association of IR-related indexes and the prevalence of CKD remained consistent in most subgroups (P for interactions > 0.05). TyG-WHtR was also the predictor of all-cause mortality in CKD patients (HR: 1.34, 95% CI 1.14–1.58), while other IR-related indexes were not correlated with the all-cause mortality or CVD mortality in CKD patients (P > 0.05). Otherwise, ROC curves showed that TyG-WHtR had more robust diagnostic efficacy than other IR-related indexes (METS-IR, HOMA-IR, TyG, and TyG-BMI) in predicting CKD (area under the curve: 0.630, 95% CI 0.615–0.644).ConclusionsIR-related biomarkers (METS-IR, HOMA-IR, TyG, and TyG-BMI) were positively correlated with the prevalence of CKD. Moreover, TyG-WHtR enhanced CKD and its all-cause mortality prediction. In patients with elevated levels of IR-related indexes, the early detection and intervention of IR may reduce the occurrence of CKD and the prognosis of CKD patients.

Comparison of Triglyceride–Glucose (TyG) Index and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) Index in Prediction of Male Hypogonadism

Several studies have shown the association between decreased insulin sensitivity and the risk of male hypogonadism. Homeostatic model assessment of insulin resistance (HOMA-IR) is a well-established marker of decreased insulin sensitivity. The triglyceride–glucose index (TyG), calculated as ln fasting triglyceride mg/dL× fasting glucose mg/dL/2, was recently suggested to be a cheaper and a reliable surrogate marker to detect insulin resistance (IR). Our aim was to compare the performance of those two indexes in the prediction of male hypogonadism. The data on 192 men from infertile couples (18–50 years; sperm concentration &lt;20 x 106/mL) and 199 population-based matched controls collected during the years 2009–2012 (baseline) were evaluated retrospectively. Half of these subjects (72 subfertile men and 122 controls) were reinvestigated 5–10 years later (median year (range): 7 (5–10)). The patients receiving any hormonal therapy were excluded. Hypogonadism was defined as fasting, morning serum testosterone below 12 nmol/L. In receiver operating characteristic curve analysis, the optimal diagnostic cutoff values for baseline HOMA-IR and TyG to predict MetS at re-examination were 2.68 (Area Under Curve (AUC) = 0.886, p &lt; 0.001) and 8.60 (AUC = 0.816, p &lt;0.001), respectively. Moreover, in binary logistic regression analysis performed on the whole cohort using these thresholds for high values of HOMA-IR and high TyG, the odds-ratios (ORs) for hypogonadism were 6.48 (95% Confidence Interval (CI): 3.77–11.2; p &lt;0.001) and 3.58 (95% CI: 2.17–5.94; p &lt;0.001), respectively. Even though high HOMA-IR levels provided better risk estimates, high TyG was also highly related to the risk of hypogonadism. These markers can be utilized to identify men being at high risk of hypogonadism.

Comparison of Two Estimated Glucose Disposal Rate Methods for Detecting Insulin Resistance in Adults with Type 1 Diabetes Mellitus.

Background: The presence of insulin resistance (IR) in patients with type 1 diabetes mellitus (T1DM) is a significant indicator of all chronic diabetic complications, independent of other risk factors. The estimated glucose disposal rate (eGDR) is a practical method that can be easily used in daily practice to determine IR. This study aimed to determine the cutoff values for two eGDR methods and compare their diagnostic value for determining IR in adult T1DM patients with metabolic syndrome (MetS). Methods: This cross-sectional study was performed on 184 adults admitted to the endocrinology outpatient clinic diagnosed with T1DM. Demographic characteristics, anthropometric measurements, and the presence of hypertension (HT) were recorded. The eGDR of all patients was calculated using two formulas based on HbA1c level, presence of HT, waist-to-hip ratio (WHR), or waist circumference (WC). Diagnostic cutoff values for both eGDRs were defined using receiver operating characteristic (ROC) analysis. Patients were divided into two groups according to the cutoff values. The accuracy of the diagnostic cutoffs for eGDRwhr and eGDRwc was compared using a Bland-Altman plot. Results: The cutoff value for eGDRwhr was 7.37 mg/(kg·min) with 83.3% specificity and 86.7% sensitivity [area under the curve (AUC) = 0.901; P < 0.001; 95% confidence interval (CI), 0.824-0.977] and for eGDRwc 7.50 mg/(kg·min) with 79.8% specificity and 83.3% sensitivity (AUC = 0.895; P < 0.001; 95% CI, 0.817-0.972) for the presence of MetS. Further ROC analysis showed that the difference between the two AUCs (0.901 and 0.895) was not significant (P = 0.923). Conclusion: Assessment of eGDR would lead to early prevention of diabetic complications. eGDR is measured using either WHR or WC. This study is the first to compare WHR and WC in calculating eGDR in adults. WHR and WC are not superior to each other for calculating eGDR in determining IR in T1DM.

Association between the cumulative average triglyceride glucose-body mass index and cardiovascular disease incidence among the middle-aged and older population: a prospective nationwide cohort study in China

BackgroundFindings from earlier research have established that insulin resistance (IR) is implicated in atherosclerosis progression, representing a noteworthy risk factor for cardiovascular disease (CVD). Recently, the triglyceride glucose-body mass index (TyG-BMI) has been introduced as a straightforward and robust alternative indicator for early detection of IR. Nevertheless, there is a scarcity of studies that have examined the capability of TyG-BMI for predicting incident CVD. Consequently, the core objective of this study was to determine whether the cumulative average TyG-BMI correlated with CVD incidence.MethodsAll data was sourced from the China Health and Retirement Longitudinal Study (CHARLS). The exposure was the cumulative average TyG-BMI, determined by the average of TyG-BMI values for the baseline and follow-up investigations (Wave 1 in 2011, Wave 3 in 2015, respectively). The calculation of TyG-BMI involved a combination of triglyceride, fasting blood glucose, and body mass index. The primary outcome was incident CVD. Logistic regression analyses as well as restricted cubic spline (RCS) regression analyses were performed for examining the association between the cumulative average TyG-BMI and CVD incidence.ResultsIn all, 5,418 participants were enrolled in our analysis, with 2,904 (53.6%) being female, and a mean (standard deviation, SD) age of 59.6 (8.8) years. The mean (SD) cumulative average TyG-BMI among all participants was 204.9 (35.7). Totally, during a 4-year follow-up, 543 (10.0%) participants developed CVD. The fully adjusted logistic regression analysis revealed a significant association between the cumulative average TyG-BMI and incident CVD [odds ratio (OR), 95% confidence interval (CI): 1.168, 1.040–1.310, per 1 SD increase]. The RCS regression analysis displayed a positive, linear association of the cumulative average TyG-BMI with CVD incidence (P for overall = 0.038, P for nonlinear = 0.436).ConclusionsOur study revealed a noteworthy correlation between the cumulative average TyG-BMI and incident CVD among the middle-aged and older population. The cumulative average TyG-BMI emerges as a valuable tool that may enhance the primary prevention and treatment of CVD.

Altered Vitamin D Status and Bone Mineral Density in Obese and Non-obese Patients With Polycystic Ovary Syndrome: A Cross-Sectional Study in Turkey.

Background Polycystic ovary syndrome (PCOS) is the most common endocrinological disease in women of reproductive age. In addition to providing the basis for comorbidities such as metabolic and cardiovascular diseases, it also affects bone metabolism. This study aimed to determine whether there is a relationship between bone mineral density (BMD), vitamin D status, insulin resistance, sex hormones, and calcium metabolism disorders in women with PCOS. Methodology Fifty-six non-obese women with PCOS, 67 obese women with PCOS, and 45 normal weight controls participated in the study. Circulating levels of gonadotropins, estradiol, prolactin, dehydroepiandrosterone sulfate, total testosterone, thyroid stimulating hormone, sex hormone-binding globulin, insulin, glucose, and calcium metabolism parameters were assessed. We used the Homeostatic Model Assessment-Insulin Resistance Index to detect insulin resistance. BMD values in the various body regions were measured by dual X-ray absorptiometry. Results Women with PCOS had significantly lower vitamin D values and lumbar spine BMD than controls (p <0.001 and p <0.05, respectively). Among the patients with PCOS subgroups, vitamin D deficiency (VDD) was more frequent in obese PCOS patients (67.1%) than in non-obese patients (58.9%). We found significantly lower BMD at all sites only in the subgroup of the non-obese PCOS women than in controls (p <0.001). Conclusions VDD is prevalent in PCOS women in those with obesity and hyperandrogenemia. Non-obese PCOS women have significantly lower BMD measurements than healthy controls, but obese PCOS women have BMD values comparable with normal-weight eumenorrheic controls. Body mass index is the most important factor determining BMD in women with PCOS.

Dual Tracer Test to Measure Tissue-Specific Insulin Action in Individual Mice Identifies InVivo Insulin Resistance Without Fasting Hyperinsulinemia.

The ability of metabolically active tissues to increase glucose uptake in response to insulin is critical to whole-body glucose homeostasis. This report describes the Dual Tracer Test, a robust method involving sequential retro-orbital injection of 14C-2-deoxyglucose (14C-2DG) alone, followed 40 min later by injection of 3H-2DG with a maximal dose of insulin to quantify both basal and insulin-stimulated 2DG uptake in the same mouse. The collection of both basal and insulin-stimulated measures from a single animal is imperative for generating high-quality data since differences in insulin action may be misinterpreted mechanistically if basal glucose uptake is not accounted for. The approach was validated in a classic diet-induced model of insulin resistance and a novel transgenic mouse with reduced GLUT4 expression that, despite ubiquitous peripheral insulin resistance, did not exhibit fasting hyperinsulinemia. This suggests that reduced insulin-stimulated glucose disposal is not a primary contributor to chronic hyperinsulinemia. The Dual Tracer Test offers a technically simple assay that enables the study of insulin action in many tissues simultaneously. By administering two tracers and accounting for both basal and insulin-stimulated glucose transport, this assay halves the required sample size for studies in inbred mice and demonstrates increased statistical power to detect insulin resistance, relative to other established approaches using a single tracer. The Dual Tracer Test is a valuable addition to the metabolic phenotyping toolbox.

Insulin Resistance-Induced Platelet Hyperactivity and a Potential Biomarker Role of Platelet Parameters: A Narrative Review.

Insulin has an inhibitory effect on platelets; however, this is compromised in circumstances of Insulin Resistance (IR), leading to platelet hyperactivity. Platelet parameters such as mean platelet volume, platelet count, and platelet distribution width are simple and accessible potential biomarkers for the early diagnosis and prognosis of IR. Therefore, the aim of this review is to provide insight on the current status of knowledge regarding IR-induced platelet hyperactivation and the potential biomarker role of platelet parameters. This narrative review included articles published in the English language. Searches were carried out at the electronic databases PubMed and Google Scholar. The search strategy was done by combining key words and related database-specific subject terms (Mesh terms) with the appropriate Boolean operators. Increasing insulin sensitivity in insulin resistant patients would possibly cause substantial reduction in platelet activation, which in turn reduce complications related with platelet hyperactivation. The standard methods to measure IR are not frequently employed in clinical practice due to their expensiveness and complexity. Thus, early detection of IR using a simple and more widely available biomarkers such as mean platelet volume, platelet count and platelet distribution width would be beneficial. Particularly in developing countries where resource scarcity is a major constraint of the health sector, utilizing such easy and affordable biomarkers may have a crucial role.

Serum Triglyceride to High-Density Lipoprotein Ratio as a Marker of Insulin Resistance Among 5-15-Year-Old Sri Lankan Children in an Urban Setting.

Objective: Prevalence of insulin resistance (IR) among South Asian populations is relatively high. It increases with the obesity epidemic. Since determining IR is costly, triglyceride to high-density lipoprotein (TG/HDL) ratio has shown to be a good proxy marker for IR in adults. However, it is not yet well established in children. This study aimed to assess TG/HDL ratio as a marker of IR in 5-15-year-old children in Colombo District of Sri Lanka. Methods: A cross-sectional descriptive study was conducted among 309 school children 5-15 years of age, selected using two-stage probability-proportionate-to-size cluster sampling technique. Sociodemographic data, and anthropometric and biochemical parameters were obtained. After a 12-hr overnight fast, blood was taken for biochemical investigations. Results: Three hundred nine children (173 girls) were recruited. Mean age of girls was 9.9 years and boys 10.3 years. Based on body mass index (BMI) z-score, 15.3% were overweight and 6.1% were obese. Metabolic syndrome was present in 2.3% of children and IR based on Homeostasis Model Assessment for Insulin Resistance (HOMA-IR) ≥2.5 in 7.5%. Mean TG/HDL ratio, waist circumference (WC), hip circumference (HC), BMI, waist-to-height-ratio (WHtR), and body fat percentage were significantly higher (P < 0.01) among children with IR compared with non-IR children. TG/HDL ratio significantly correlated with BMI, % fat mass, WC, HC, WHtR, and HOMA-IR. TG/HDL ratio is an independent risk factor in determining IR. The cutoff value of TG/HDL ratio ≥3 had higher specificity (89.8%) but lower sensitivity (47.8%) for detection of IR. TG/HDL ratio >1.5 had a higher sensitivity (82.6%) but lower specificity (47.7%). Conclusions: TG/HDL ratio is a good proxy marker of IR among 5-15-year-old children. A cutoff value of ≥1.5 had satisfactory sensitivity and specificity.

TDAG51 Attenuates Impaired Lipid Metabolism and Insulin Resistance in Gestational Diabetes Mellitus Through SREBP-1/ANGPTL8 Pathway.

T-cell death-associated gene 51 (TDAG51) belongs to the transcription factor family and is involved in the energy homeostasis of the liver through the regulation of lipogenesis. To evaluate the role of T-cell death-associated gene 51 in gestational diabetes mellitus. Experimental study. A total of 30 patients with GDM were enrolled in the study. TDAG51 expression in patients with gestational diabetes mellitus was assessed by Western blotting and quantitative reverse-transcription polymerase chain reaction. A high-fat and high-sugar diet was used to establish a Gestational diabetes mellitus model. gestational diabetes mellitus mice were injected with lentivirus-mediated overexpression of TDAG51. Blood glucose was measured using a glucometer, and glucose and insulin tolerance tests were performed to detect insulin resistance. Liver and adipose tissues were subjected to hematoxylineosin staining. Cell apoptosis was detected by TUNEL staining. Human villous trophoblast cells (HTR-8/SVneo) were treated with a high-glucose medium to induce gestational diabetes mellitus. TDAG51 was downregulated in gestational diabetes mellitus and high glucose-induced HTR-8/SVneo. TDAG51 overexpression reduced the level of blood glucose, enhanced serum insulin, and attenuated glucose and insulin tolerance in gestational diabetes mellitus mice. TDAG51 overexpression also ameliorated impaired lipid metabolism and alleviated adipocyte hypertrophy and hepatic lipid droplets in gestational diabetes mellitus mice. The expressions of SREBP-1 and ANGPTL8 were upregulated in gestational diabetes mellitus and showed a negative correlation with TDAG51 in patients with gestational diabetes mellitus. TDAG51 increased the expressions of SREBP-1 and ANGPTL8 in gestational diabetes mellitus mice. TDAG51 overexpression reduced cell apoptosis and enhanced cell viability of high glucose-induced HTR-8/SVneo. Ectopic expression of ANGPTL8 attenuated the TDAG51-induced increase in cell viability and decrease in apoptosis in high glucose-induced HTR-8/SVneo. TDAG51 alleviated impaired lipid metabolism and insulin resistance in gestational diabetes mellitus via downregulation of SREBP 1/ANGPTL8 pathway.

Astragaloside IV-mediated inhibition of oxidative stress by upregulation of ghrelin in type 2 diabetes-induced cognitive impairment.

This study is to observe the upregulation effect of astragaloside IV on ghrelin in diabetic cognitive impairment (DCI) rats and to investigate the pathway in prevention and treatment by reducing oxidative stress. The DCI model was induced with streptozotocin (STZ) in conjunction with a high-fat and high-sugar diet and divided into three groups: model, low-dose (40mg/kg), and high-dose (80mg/kg) astragaloside IV. After 30days of gavage, the learning and memory abilities of rats, as well as their body weight and blood glucose levels, were tested using the Morris water mazeand then detection of insulin resistance, SOD activity, and serum MDA levels. The whole brain of rats was sampled for hematoxylin-eosin and Nissl staining to observe pathological changes in the hippocampal CA1 region. Immunohistochemistry was used to detect ghrelin expression in the hippocampal CA1 region. A Western blot was used to determine changes in GHS-R1α/AMPK/PGC-1α/UCP2. RT-qPCR was used to determine the levels of ghrelin mRNA. Astragaloside IV reduced nerve damage, increased superoxide dismutase (SOD) activity, decreased MDA levels, and improved insulin resistance. Ghrelin levels and expression increased in serum and hippocampal tissues, and ghrelin mRNA levels increased in rat stomach tissues. According to Western blot, it increased the expression of the ghrelin receptor GHS-R1α and upregulated the mitochondrial function associated-protein AMPK-PGC-1α-UCP2. Astragaloside IV increases ghrelin expression in the brain to reduce oxidative stress and delay diabetes-induced cognitive impairment. It may be related to the promotion of ghrelin mRNA levels.

Inhibiting NLRP3 Inflammasome Activation by CY-09 Helps to Restore Cerebral Glucose Metabolism in 3×Tg-AD Mice

The reduction of the cerebral glucose metabolism is closely related to the activation of the NOD-like receptor protein 3 (NLRP3) inflammasome in Alzheimer's disease (AD); however, its underlying mechanism remains unclear. In this paper, 18F-flurodeoxyglucose positron emission tomography was used to trace cerebral glucose metabolism in vivo, along with Western blotting and immunofluorescence assays to examine the expression and distribution of associated proteins. Glucose and insulin tolerance tests were carried out to detect insulin resistance, and the Morris water maze was used to test the spatial learning and memory ability of the mice. The results show increased NLRP3 inflammasome activation, elevated insulin resistance, and decreased glucose metabolism in 3×Tg-AD mice. Inhibiting NLRP3 inflammasome activation using CY-09, a specific inhibitor for NLRP3, may restore cerebral glucose metabolism by increasing the expression and distribution of glucose transporters and enzymes and attenuating insulin resistance in AD mice. Moreover, CY-09 helps to improve AD pathology and relieve cognitive impairment in these mice. Although CY-09 has no significant effect on ferroptosis, it can effectively reduce fatty acid synthesis and lipid peroxidation. These findings provide new evidence for NLRP3 inflammasome as a therapeutic target for AD, suggesting that CY-09 may be a potential drug for the treatment of this disease.

Waist Circumference Is an Essential Factor in Predicting Insulin Resistance and Early Detection of Metabolic Syndrome in Adults.

Metabolic syndrome (Met-S) is considered one of the most important health problems of the 21st century. It includes a group of metabolic disorders that increase the risk of cardiovascular diseases such as overweight and obesity, elevated lipid profile and blood pressure and insulin resistance (IR). Based on the information mentioned above in which there seems to be a relationship between IR and Met-S, the objective of this work was twofold: on the one hand, to assess the relationship between the values of different insulin resistance risk scales and Met-S determined with three different scales, and on the other, to determine whether any of the components of Met-S predispose more to the appearance of IR. A descriptive cross-sectional study of 418,343 workers. Waist circumference was measured and evaluated together with six formulas to assess the insulin resistance index. Categorical variables were evaluated by calculating the frequency and distribution of each one. For quantitative variables, mean and standard deviation were determined, and Student's t-test was applied, while for qualitative variables, the chi-square test was performed. The usefulness of the different risk scales for insulin resistance for predicting metabolic syndrome was evaluated using ROC curves, the area under the curve (AUC), as well as their cut-off points for sensitivity, specificity, and the Youden index. People with metabolic syndrome applying any criteria had higher values in the IR risk scales. The different IR scales made it possible to adequately classify people with metabolic syndrome. Of the three definitions of Met-S, the one that showed the greatest relationship with IR was IDF. Most risk scales for insulin resistance enable the presence of metabolic syndrome to be adequately classified, finding the best ones if the International Diabetes Federation (IDF) criteria are applied. Of the elements included in the Met-S, the one that seems to increase the risk of presenting IR the most is waist circumference; hence, the Met-S definition that is most related to IR is that of the IDF, which is the only one of the three in which a high value of waist circumference is necessary to be able to diagnose Met-S. Waist circumference can be considered the central essential component for detecting insulin resistance and, therefore, the early detection of metabolic syndrome.

An update of the consensus statement on insulin resistance in children 2010.

In our modern society, where highly palatable and calorie-rich foods are readily available, and sedentary lifestyle is common among children and adolescents, we face the pandemic of obesity, nonalcoholic fatty liver disease, hypertension, atherosclerosis, and T2D. Insulin resistance (IR) is known to be the main underlying mechanism of all these associated health consequences; therefore, the early detection of IR is fundamental for preventing them.A Consensus Statement, internationally supported by all the major scientific societies in pediatric endocrinology, was published in 2010, providing all the most recent reliable evidence to identify the definition of IR in children, its measurement, its risk factors, and the effective strategies to prevent and treat it. However, the 2010 Consensus concluded that further research was necessary to assess some of the discussed points, in particular the best way to measure insulin sensitivity, standardization of insulin measurements, identification of strong surrogate biomarkers of IR, and the effective role of lifestyle intervention and medications in the prevention and treatment of IR.The aim of this review is to update each point of the consensus with the most recent available studies, with the goal of giving a picture of the current state of the scientific literature regarding IR in children, with a particular regard for issues that are not yet fully clarified.

Evaluation of Insulin Resistance and Glutathione-S-transferase in Iraqi Patients with Type 2 Diabetes Mellitus and Diabetic Peripheral Neuropathy

Diabetes mellitus type 2 (T2DM) is a metabolic disorder that influences above 450 million individuals around the world. Type 2 diabetes is a lack of insulin due to pancreatic β-cell malfunction and insulin resistance. This study aimed to detect insulin resistance using homeostasis model assessment (HOMA IR) and determined the correlation with glutathione-s-transferase (GST) activity in T2DM and neuropathy patients as a predictor of oxidative stress, which occurs when the oxidation-antioxidant equilibrium is disrupted. Reactive oxygen species causes vascular injury and a series of inflammation. In the present study, the results show there is no significant difference in diabetic patients (DM) and neuropathy patients (NU) versus healthy people in insulin resistance (p&gt; 0.05). GST activity significantly differs between the patients and healthy groups (p≤0.05). Moreover, this study has reported an improvement in insulin resistance and high activity of GST in the patient's group as a warning sign of excessive oxidative stress. There was no evidence revealing a link between insulin resistance and GST. The present study has demonstrated that HOMA-IR had a positive relationship with fasting blood sugar and insulin in the neuropathy group and diabetic group and a negative relationship with high-density lipoprotein (HDL).