Homeostasis Model Assessment Of Insulin Resistance Research Articles

Association of HOMA-IR with unexpected poor ovarian response in non-obese women in poseidon 1: a retrospective cohort study

BackgroundInsulin resistance (IR) is related with adverse outcomes of in vitro fertilization (IVF) in women with obesity, but little is known about the relationship between IR and unexpected poor ovarian response (uPOR) in non-obese subjects with sufficient ovarian parameters (classified as POSEIDON group 1). This research aims to explore the association between the homeostasis model assessment of insulin resistance (HOMA-IR) and uPOR in non-obese women with normal biomarkers of ovarian reserve.MethodsThe retrospective cohort study was conducted at a fertility center. The main inclusion criteria were age < 35 years, body mass index (BMI) < 28 kg/m2, normal ovarian reserve (anti-Mullerian hormone ≥ 1.2 ng/ml, antral follicle count ≥ 5). Women undergoing the first oocyte retrieval cycle were included consecutively between 2018 until 2023. Patients who have ≤ 9 oocytes retrieved were defined as uPOR. The multivariable logistic model and subgroup analysis were conducted after adjusting confounders.ResultsA total of 6977 cycles were included. The adjusted odds ratio was 1.25 (95% confidence interval [CI], 1.12–1.39) for the increment of Ln HOMA-IR which was taken as a continuous variable. Meanwhile, as a sensitivity analysis, elevated tertile of HOMA-IR exhibited an increase in risk of uPOR for the third tertile (≥ 2.75) when compared with the first tertile (< 1.75) with OR of 1.33 (95%CI, 1.15–1.54). In the subgroup analysis, the positive association remained consistent.ConclusionElevated HOMA-IR values is significantly associated with increased risk of uPOR in non-obese women classified as POSEIDON group 1. Our study provided evidence for the adverse influence of IR on the ovarian response during IVF and shed light on the importance of IR measurement at the time of pre-stimulation among non-obese women.

A Study of Prevalence of Metabolic Syndrome in Premenopausal Women With Female Pattern Hair Loss: A Case-Control Study.

Background and objective Female pattern hair loss (FPHL), also known as androgenetic alopecia (AGA), is a condition where the hair follicles of genetically susceptible women gradually shrink and become thinner, leading to hair loss in a particular pattern. Metabolic syndrome (MS) is a collection of conditions that co-occur, increasing the risk of heart disease, stroke, and type 2 diabetes. This study aims to determine the prevalence of MS in premenopausal women in patients with FPHL. Methods and materials We conducted a case-control, hospital-based observational study at our institution for a period of two years, which included 62 patients, with 31 cases (patients with FPHL) and 31 controls (patients without FPHL). Results In some cases, the mean age was 29.81 years, while in controls, it was 28.84 years. The mean waist circumference (WC) in cases was 81.9+/- 11.75 cm, and in controls, it was 72.65+/- 8.86 cm, with a statistically significant p-value of 0.001. In some cases, the mean body mass index (BMI) was 26.28 +/- 4.09 kg/m2, and in controls, it was 24.52 +/- 2.78 kg/m2, with a statistically significant p-value of 0.013. Between cases and controls, there was no significant difference in the homeostatic model assessment of insulin resistance (HOMA-IR), fasting blood glucose (FBG), fasting triglyceride levels, fasting HDL, and fasting insulin levels. Conclusion The study found a significant association between WC and BMI in patients with FPHL in premenopausal women. This highlights the need for early screening and preventive measures for MS in women presenting with FPHL.

Iron Homeostasis-Related Parameters and Hepcidin/Ferritin Ratio: Emerging Sex-Specific Predictive Markers for Metabolic Syndrome.

Metabolic syndrome (MetS) is a worldwide public health challenge. Accumulating evidence implicates elevated serum ferritin and disruptions in iron metabolism as potential elements linked to an increased risk of MetS. This study investigates the relationship between iron homeostasis-including hepcidin levels, serum iron concentration, unsaturated iron-binding capacity (UIBC), and the hepcidin/ferritin (H/F) ratio-and MetS. In this descriptive cross-sectional study, 209 participants aged 24-70 were categorized into two groups: 103 with MetS and 106 without MetS. All participants underwent medical assessment, including anthropometric measures, indices of glycemic control, lipid profiles, and iron-related parameters. Participants were further stratified by the Homeostasis Model Assessment-Insulin Resistance index into three subgroups: insulin-sensitive (IS) (<1.9), early insulin resistance (EIR) (>1.9 to <2.9), and significant insulin resistance (SIR) (>2.9). Notable increments in serum ferritin and hepcidin were observed in the SIR group relative to the IS and EIR groups, with a significant association between metabolic parameters. The UIBC and serum ferritin emerged as significant predictors of MetS, particularly in men, with an area under the curve (AUC) of 0.753 and 0.792, respectively (p ≤ 0.001). In contrast, hepcidin was notably correlated with MetS in women, with an AUC of 0.655 (p = 0.007). The H/F ratio showed superior predictive capability for MetS across both sexes (at cutoff level = 0.67). Among women, this ratio had an AUC of 0.639 (p = 0.015), and for men, it had an AUC of 0.792 (p < 0.001). Hypertension proved an independent risk factor for MetS, affirming its role in metabolic dysregulation. The findings highlight a significant interconnection between iron homeostasis parameters and MetS, with sex-specific variations underscoring the importance of personalized diagnostic criteria. The crucial role of the H/F ratio and the UIBC as emerging predictive markers for MetS indicates their potential utility in identifying at-risk individuals. Further longitudinal research is essential to establish causality and explore the interplay between these biomarkers and MetS.

Adiposity modifies the association between heart failure risk and glucose metabolic disorder in older individuals: a community-based prospective cohort study

BackgroundGlucose metabolic disorder is associated with the risk of heart failure (HF). Adiposity is a comorbidity that is inextricably linked with abnormal glucose metabolism in older individuals. However, the effect of adiposity on the association between glucose metabolic disorder and HF risk, and the underlying mechanism remain unclear.MethodsA total of 13,251 participants aged ≥ 60 years from a cohort study were categorized into euglycemia, prediabetes, uncontrolled diabetes, and well-controlled diabetes. Adiposity was assessed using body mass index (BMI), waist-to-hip ratio (WHR), and visceral fat area (VFA). Adiposity-associated metabolic activities were evaluated using adiponectin-to-leptin ratio (ALR), homeostatic model assessment of insulin resistance (HOMA-IR), and triglyceride-glucose index (TyG). The first occurrence of HF served as the outcome during the follow-up period.ResultsA total of 1,138 participants developed HF over the course of an average follow-up period of 10.9 years. The rate of incident HF occurrence was higher in prediabetes, uncontrolled diabetes, and well-controlled diabetes participants compared to that in euglycemia participants. However, the high rates were significantly attenuated by BMI, VFA, and WHR. For WHR in particular, the hazard ratio for incident HF was 1.18 (95% confidence interval (CI): 1.03, 1.35, Padj.=0.017) in prediabetes, 1.59 (95% CI: 1.34, 1.90, Padj.<0.001) in uncontrolled diabetes, and 1.10 (95% CI: 0.85, 1.43, Padj.=0.466) in well-controlled diabetes. The population attributable risk percentage for central obesity classified by WHR for incident HF was 30.3% in euglycemia, 50.0% in prediabetes, 48.5% in uncontrolled diabetes, and 54.4% in well-controlled diabetes. Adiposity measures, especially WHR, showed a significant interaction with glucose metabolic disorder in incident HF (all Padj.<0.001). ALR was negatively associated and HOMA-IR and TyG were positively associated with BMI, WHR, VFA, and incident HF (all Padj.<0.05). ALR, HOMA-IR, and TyG mediated the associations for BMI, WHR and VFA with incident HF (all Padj.<0.05).ConclusionsAdiposity attenuated the association of glucose metabolic disorder with incident HF. The results also showed that WHR may be an appropriate indicator for evaluating adiposity in older individuals. Adiposity-associated metabolic activities may have a bridging role in the process of adiposity attenuating the association between glucose metabolic disorder and incident HF.Trial registrationretrospectively registered number: ChiCTR-EOC-17,013,598.

Asprosin in nonalcoholic fatty liver disease and hypothyroidism: a case-control study

ABSTRACT Purpose The present study aimed to determine the serum level of asprosin, a novel glucogenic and orexigenic hormone, in NAFLD and hypothyroidism patients. Methods This is a case–control study that included three groups of age and sex-matched subjects: hypothyroid patients with NAFLD (n = 26), hypothyroid patients without NAFLD (n = 25) and normal control subjects (n = 27). A detailed clinical history was obtained, and an examination was performed. Laboratory tests included fasting plasma glucose and insulin, lipid profile, TSH, free T4, AST, ALT, albumin, and asprosin. The homeostatic model assessment of insulin resistance (HOMA-IR) score was calculated. Abdominal ultrasonography was performed to calculate the hepatorenal index and define participants with NAFLD. The data were statistically analyzed. Results There was a statistically significant difference between the three groups regarding serum asprosin concentration (p < 0.01). Serum asprosin levels were significantly higher in the patients with hypothyroidism and NAFLD compared to both other groups [2.70 ng/mL (2.17–4.10), 1.26 ng/mL (0.96–2.50), and 1.72 ng/mL (1.41–2.12), respectively]. There was no significant difference between the other two groups. There was a significant positive correlation of moderate strength between asprosin and HOMA-IR, BMI, and waist circumference. Asprosin and HOMA-IR were significantly higher in patients with NAFLD compared to subjects with normal liver (p < 0.001). Conclusion The coexistence of NAFLD and hypothyroidism is more strongly associated with increased asprosin than is the presence of hypothyroidism alone. This could be due to increased insulin resistance as a possible link.

Effects of Nicotinamide Mononucleotide Supplementation on Muscle and Liver Functions Among the Middle-Aged and Elderly: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Nicotinamide Mononucleotide (NMN) has gained attention as a precursor to Nicotinamide Adenine Dinucleotide (NAD+) in recent years, commonly utilized in anti-aging therapies. The anti-aging effects of NMN on muscle and liver functions in middleaged and elderly people are still unclear. Based on available randomized controlled trials, we conducted a meta-analysis to evaluate the impact of NMN on muscle and liver functions in middle-aged and elderly individuals. We conducted searches on three electronic databases (PubMed, Embase, Web of Science) for randomized controlled trials involving NMN interventions in middle-aged and elderly populations. Through the Cochrane Handbook, we assessed the specific methodological quality. All statistical analyses were obtained by Stata15, and statistical significance was set as P<0.05. There were 412 participants from 9 studies in this meta-analysis. Based on changes in gait speed (SMD: 0.34 m/s, 95%CI [0.03, 0.66] p = 0.033), NMN had significant effects on muscle mass. Moreover, NMN had a better effect on ALT (SMD: -0.29 IU/L, 95%CI [-0.55, -0.03] p = 0.028). Subgroup analysis indicated that administering a small dose of NMN exerted the most prominent impact on Homeostasis Model Assessment-Insulin Resistance (HOMA-IR). NMN has positive efficacy in enhancing muscle function, reducing insulin resistance and lowering aminotransferase levels in middle-aged and elderly individuals. NMN is an encouraging and considerable drug for anti-aging treatment.

Therapeutic effect of fenugreek supplementation on type 2 diabetes mellitus: A systematic review and meta-analysis of clinical trials

IntroductionNumerous clinical trials have investigated the effects of fenugreek, a traditional herbal medicine, on type 2 diabetes mellitus (T2DM). However, the results from these studies have been inconsistent. Therefore, we aimed to perform a meta-analysis on the effects of fenugreek supplementation on weight, body mass index (BMI), lipid profile, and glycemic indices in patients with T2DM. MethodsWe searched PubMed, Scopus, Embase, ISI Web of Science, and Cochrane Library databases to identify clinical trial studies until October 2023. The data were analyzed using a random-effects model and presented as the weighted mean difference (WMD) along with the associated 95 % confidence interval (CI). ResultsA total of 19 studies were included in the meta-analysis. The results indicated a significant impact of fenugreek supplementation on lowering fasting plasma glucose (FPG) (WMD: 20.32 mg/dl; 95 % CI: 26.65 to −13.99), hemoglobin A1C (HbA1c) (WMD: 0.54 %; 95 % CI: 0.80 to −0.28), homeostatic model assessment of insulin resistance (HOMA-IR) (WMD: 0.36; 95 % CI: 0.67 to −0.05), total cholesterol (TC) (WMD: 33.10 mg/dL; 95 % CI: 64.31 to −1.88), low-density lipoprotein cholesterol (LDL-C) (WMD: 29.14 mg/dL; 95 % CI: 55.45 to −2.83), BMI (WMD: 0.73 kg/m2; 95 % CI: 1.40 to −0.07), and increasing the high-density lipoprotein cholesterol (HDL-C) (WMD: 5.68 mg/dL; 95 % CI: 3.51 to 7.85). However, the effect on fasting insulin, triglycerides, and weight was not significant. ConclusionsFenugreek supplementation has been shown to improve FPG, HbA1C, HOMA-IR, TC, LDL-C, HDL-C, and BMI in patients with T2DM. The overall results suggest that fenugreek may have protective and therapeutic effects on T2DM parameters.

High-Intensity Interval Training Decreases Circulating HMGB1 in Individuals with Insulin Resistance; Plasma Lipidomics Identifies Associated Cardiometabolic Benefits.

Background: Exercise is a fundamental primary standard of care for cardiometabolic health. Body Weight (BW) High-Intensity Interval Training (HIIT) is an effective strategy for reducing cardiometabolic markers in individuals with insulin resistance and Type-2 diabetes (T2D). High-mobility group box 1 (HMGB1), a ubiquitous nuclear factor, plays an ample role beyond an alarmin in T2D development and progression. Our group has described this novel role previously, showing the beneficial effect of whole body HMGB1 silencing in decreasing hyperglycemia in diabetic mice. In the present study we tested the hypothesis that BW-HIIT as an effective exercise training modality will decrease cardiometabolic risk with a concomitant decrease in circulating HMGB1 more prominently in insulin resistant individuals compared to non-insulin resistant individuals contrasting to what we can evidence in a preclinical murine model of insulin resistance; Methods: Human and mouse pre- and post-exercise serum/plasma samples were analyzed for Lipidomics as well as Metabolic and Cytokine Multiplex assays. Standard of care, as well as cardiometabolic parameters, was also performed in human subjects; Results: insulin resistant individuals had the most positive effect, primarily with a decrease in the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR). as an index of insulin resistance as well as decreased HMGB1 post-exercise. Lipidomic analysis illustrated the highly beneficial effect of exercise training using a modified HIIT program, showing an enhanced panel of circulating lipids post-exercise exclusively in insulin resistant individuals. Plasma multiplex revealed significant translational heterogeneity in our studies with distinct metabolic hormone responses to exercise conditioning with a decrease in inflammatory markers in insulin resistant individuals; Conclusions: The current study demonstrated that 6-week BW-HIIT training improves cardiometabolic, anti-inflammatory markers, metabolic hormones, and insulin sensitivity in humans, strongly associated with decreased circulating HMGB1. Overall, these experiments reinforce the potential of HMGB1 as a marker of changes in insulin resistance and the positive effect of exercise training on insulin resistance possibly preventing the development of T2D and associated complications.

The different associations of serum gamma-glutamyl transferase and alanine aminotransferase with insulin secretion, β-cell function, and insulin resistance in non-obese Japanese

The present study investigated the associations of serum gamma-glutamyl transferase (GGT), a marker of fatty liver and oxidative stress, and ALT/AST, a marker of fatty liver, with percentage trunk fat and postload glucose, insulin resistance, and β-cell function in middle-aged Japanese individuals, whose BMI averaged < 23.0 kg/m2. Pancreatic β-cell function was assessed using the disposition index calculated by a product of the insulinogenic index (IGI) and Matsuda insulin sensitivity index, a biomarker of early-phase glucose-stimulated insulin secretion and whole-body insulin sensitivity, respectively. Multivariate linear regression analyses revealed that the disposition index was associated inversely with GGT independently of percentage trunk fat, homeostasis model assessment insulin resistance (HOMA-IR), a marker of insulin resistance, and Matsuda index. When IGI was included instead of the disposition index, IGI (inversely) and HOMA-IR were associated with GGT independently of percentage trunk fat and Matsuda index. When the area under the glucose concentration curve (AUCg) during an oral glucose tolerance test was included instead of the disposition index, AUCg and HOMA-IR emerged as independent determinants of GGT. ALT/AST was associated with HOMA-IR alone. Results suggest a different pathophysiologic basis between GGT and ALT/AST in predicting diabetic risk in non-obese Japanese.

Development of a comprehensive risk prediction model for arterial stiffness assessment in individuals with obesity.

Obesity in adults is a known risk factor for cardiovascular events and is associated with a decline in arterial elasticity. This study aims to evaluate the utility of pulse wave analysis (PWA) parameters in routine clinical practice for the primary prevention of cardiovascular events by developing a prediction model for arterial stiffness among obese and overweight individuals. The study enrolled 84 adult patients, aged 18 to 85 years, with varying degrees of weight status, including optimal weight, overweight, and obesity. The lifestyle habits, the personal and family history of cardiometabolic diseases, as well the clinical evaluation that included BMI (body mass index), WHR (waist-to-hip ratio), WC (waist circumferance) were performed. PWA evaluation was conducted using the Mobil-O-Graph device, assessing the following parameters: pulse wave velocity (PWV), augmentation index (AIx), heart rate (HR), central pulse pressure (cPP), peripheral and central blood pressure (SBP, DBP, cSBP, cDBP). Body composition analysis was performed using the TANITA BC-418 body analyzer. Laboratory results from the past 3 months were also collected during initial nutritional consultations for each patient. Family history of cardiovascular events showed positive correlations with all PWA parameters, while diabetes history only with PWV and family history of obesity with PWV, DBP, and cSBP. Insufficient sleep duration showed positive associations with all arterial stiffness parameters except cDBP. Smoking status correlated with significantly elevated PWV and Aix values, while insufficient physical activity was associated solely with PWV. Positive correlations were showed between current weight and PWV, while WC demonstrated positive associations with PWV, SBP, and cSBP. Body composition analysis revealed significant associations between trunk adipose tissue mass (%) and PWV, SBP, and cSBP. Hydration status (%) emerged as an independent predictor for PWV, exhibiting an inverse relationship. HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) showed a strong positive correlation with PWV. Negative associations were observed with HDL-c and vitamin D. Threshold values for age, cDBP and Cardiac Index providing positive diagnostic for vascular impairment. The assessment of arterial stiffness can be considered a reliable approach to prevent obesity-related cardiovascular events and facilitate the comprehensive management of such pathologies.

Associations of urinary biomarkers of phthalates, phenols, parabens, and organophosphate esters with glycemic traits in pregnancy: The Healthy Start Study

BackgroundCertain endocrine-disrupting chemicals (EDCs) are widespread in consumer products and may alter glucose metabolism. However, the impact of EDC exposures on glucose and insulin regulation during pregnancy is incompletely understood, despite potential adverse consequences for maternal and infant health. We estimated associations between 37 urinary biomarkers of EDCs and glucose-insulin traits among pregnant women. MethodsSeventeen phthalate or phthalate substitute metabolites, six environmental phenols, four parabens, and ten organophosphate ester metabolites were quantified in mid-pregnancy urine from 298 participants in the Healthy Start Study. Fasting blood glucose, insulin, and hemoglobin A1c were assessed concurrently, and Homeostasis Model Assessment 2-Insulin Resistance (HOMA2-IR) was calculated. Gestational diabetes diagnoses and screening results were obtained from medical records for a subset of participants. We estimated associations between each EDC and outcome separately using linear and robust Poisson regression models and analyzed EDC mixture effects. ResultsThe EDC mixture was positively associated with glucose, insulin, and HOMA2-IR, although overall associations were attenuated after adjustment for maternal BMI. Two mixture approaches identified di(2-ethylhexyl) phthalate (DEHP) metabolites as top contributors to the mixture's positive associations. In single-pollutant models, DEHP metabolites were positively associated with fasting glucose, fasting insulin, and HOMA2-IR even after adjustment for maternal BMI. For example, each interquartile range increase in log2-transformed mono(2-ethyl-5-oxohexyl) phthalate was associated with 2.4 mg/dL (95% confidence interval (CI): 1.1, 3.6) higher fasting glucose, 11.8% (95%CI: 3.6, 20.5) higher fasting insulin, and 12.3% (95%CI: 4.2, 21.1) higher HOMA2-IR. Few EDCs were associated with hemoglobin A1c or with a combined outcome of impaired glucose tolerance or gestational diabetes. DiscussionExposures to phthalates and particularly DEHP during pregnancy are associated with altered glucose-insulin regulation. Disruptions in maternal glucose metabolism during pregnancy may contribute to adverse pregnancy outcomes including gestational diabetes and fetal macrosomia, and associated long-term consequences for maternal and child health.

Mitigating diabetes-related complications: Empowering metformin with cholecalciferol and taurine supplementation in type 2 diabetic rats.

Type 2 diabetes is one of the most prevalent chronic diseases worldwide, significantly impacting patients' quality of life. Current treatment options like metformin (MET) effectively counteract hyperglycemia but fail to alleviate diabetes-associated complications such as retinopathy, neuropathy, nephropathy, hepatopathy, and cardiovascular diseases. To propose the supplementation of cholecalciferol (CHO) and taurine (TAU) to enhance MET efficacy in controlling diabetes while minimizing the risk of associated complications. The study involved sixty rats, including ten non-diabetic control rats and fifty experimental rats with type 2 diabetes induced by streptozotocin. The experimental rats were further subdivided into positive control and treatment subgroups. The four treatment groups were randomly allocated to a single MET treatment or MET combined with supplements either CHO, TAU, or both. Diabetic rats exhibited elevated levels of glucose, insulin, Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), glycated hemoglobin%, lipid markers, aspartate aminotransferase, and malondialdehyde, along with reduced levels of antioxidant enzymes (catalase and superoxide dismutase). The administration of CHO and TAU supplements alongside MET in diabetic rats led to a noticeable recovery of islet mass. The antioxidative, anti-inflammatory, and anti-apoptotic properties of the proposed combination therapy significantly ameliorated the aforementioned abnormalities. The supplementation of CHO and TAU with MET showed the potential to significantly improve metabolic parameters and protect against diabetic complications through its antioxidative, anti-inflammatory, and anti-apoptotic effects.

The effects of laser acupuncture on metabolic syndrome in obese postmenopausal women: a randomized controlled study

To study the laser acupuncture (LA) effects on postmenopausal obese women’s metabolic syndrome. Randomized controlled trial. Benha university hospital. Thirty postmenopausal women were randomized into two equal groups. Group A received a diet regimen and Group B received LA treatment for 30 min three times a week for two months beside the diet regimen. Included weight (W), body mass index (BMI), waist (WC), hip (HC), waist-hip ratio (WHR), systolic blood pressure (SBP), diastolic blood pressure (DBP), serum level of total cholesterol (TC), triglycerides (TG), high density lipoprotein (HDL), low density lipoprotein (LDL), fasting blood glucose (FBG), fasting blood insulin (FBI), homeostatic model assessment-insulin resistance (HOMA-IR) before and after the end of treatment. The study’s findings showed that both groups experienced a highly statistically significant decrease in the post-testing mean value of W, BMI, WC, HC, WHR, SBP, DBP, TC, TG, LDL, FBG, FBI, and HOMA-IR, while both groups experienced a significant increase in the post-treatment mean value of HDL (p 0.0001). The posttreatment SBP, DBP, TC, TG, LDL, FBS, FBI and insulin resistance were significantly lower while HDL was significantly higher in women who received combined LA and diet regimen compared to those who received dietary regimen only. LA beside the nutritional intervention is a physical therapy technique that may be used safely, easily, and effectively to minimize metabolic syndrome features during menopause.

Leptin/Ghrelin Axis and Antibodies Reactive to Both Hormones in Relation to Metabolic Syndrome Components in Mexican Children.

Background: Metabolic syndrome (MetS) in children is a rising health issue that is strongly associated with cardiovascular diseases and type 2 diabetes mellitus development. Low-affinity antibodies reactive to leptin and ghrelin are suggested to regulate hormone stability and function; nevertheless, the role of the leptin/ghrelin axis and antibodies reactive to both hormones in relation to MetS or its components in the pediatric population remains unknown. Methods: Fifty-eight children (7-12 years) were included and categorized according to the presence of one or more criteria for the diagnosis of MetS or according to body mass index. Body composition, biochemical variables, and metabolic risk indexes were determined. Antibodies reactive to leptin and ghrelin were quantified by an in-house enzyme-linked immunosorbent assay test. Ratios of leptin/ghrelin hormones and anti-leptin/anti-ghrelin immune complexes were obtained. Results: The biochemical variables glucose (P = 0.0009), insulin (P = 0.0001), leptin (P = 0.0036), HOMA-IR (homeostatic model assessment for insulin resistance) (P < 0.0001), and plasma atherogenic index (P < 0.0001) were significantly higher in children with two or three components of MetS (MetS 2-3) in comparison to children with none or one component (MetS 0-1). Ratios of leptin/ghrelin (P = 0.0307) and anti-leptin/anti-ghrelin immune complexes (P = 0.0338) were higher in MetS 2-3 group versus MetS 0-1 group. In MetS 2-3 group, both insulin (r = 0.4361, P = 0.0293) and HOMA-IR (r = 0.4761, P = 0.0161) were positively correlated with the leptin/ghrelin hormone ratio. Conclusions: The higher leptin/ghrelin hormone ratio scores observed in MetS 2-3 group, along with their correlation with insulin levels and HOMA-IR, highlight the role of leptin and ghrelin on insulin sensitivity and metabolic regulation. An increased ratio of anti-leptin/anti-ghrelin immune complexes suggests affinity changes in these antibodies that may lead to alterations in hormone function.

Associations of adipose insulin resistance index with pancreatic β cell function (inverse) and glucose excursion (positive) in young Japanese women

The relationship of adipose tissue insulin resistance (AT-IR, a product of fasting insulin and free fatty acids) and homeostasis-model assessment-insulin resistance (HOMA-IR) to β-cell function was studied cross-sectionally in the setting of subtle glucose dysregulation. Associations of AT-IR and HOMA-IR with fasting and post-glucose glycemia and β-cell function inferred from serum insulin kinetics during a 75 g oral glucose tolerance test were studied in 168 young female Japanese students. β-cell function was evaluated by disposition index calculated as a product of the insulinogenic index (IGI) and Matsuda index. AT-IR, not HOMA-IR, showed positive associations with post-glucose glycemia and area under the glucose response curve although both indices were associated with fasting glycemia. HOMA-IR, not AT-IR, was associated positively with log IGI whereas both indices were inversely associated with Matsuda index. AT-IR, not HOMA-IR, showed inverse associations with log disposition index. Associations of adipose tissue insulin resistance with β-cell function (inverse) and glucose excursion in young Japanese women may suggest that lipotoxicity to pancreatic β-cells for decades may be associated with β cell dysfunction found in Japanese patients with type 2 diabetes. Positive association of HOMA-IR with insulinogenic index may be associated with compensatory increased insulin secretion.

The impact of consuming different types of high-caloric fat diet on the metabolic status, liver, and aortic integrity in rats

Consumption of high-caloric diets contributes to the alarming number of overweight and obese individuals worldwide, which in turn leads to several diseases and multiple organ dysfunction. Not only has the number of calories taken per day but also the type of fat in the diet has an important impact on health. Accordingly, the purpose of the current study was to examine the impact of different types of high-caloric fat diets on the metabolic status and the integrity of the liver and aorta in albino rats. Adult male albino rats were divided into 6 groups: Control group, long chain-saturated fat group (SFD), long chain-monounsaturated fat (MUFAs) group, long chain-polyunsaturated fat (PUFAs) group, medium-chain fat (MCFAs) group, and short-chain fat (SCFAs) group. Body mass index (BMI), Lee index, and visceral fat amount were reported. Serum levels of insulin, liver transaminases, lipid profile, and different oxidative stress and inflammatory markers were evaluated. Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), and adiponectin/leptin ratio were also calculated. Histopathological examinations of liver and aorta with Masson’s trichrome stain, and immune-staining for Nuclear Factor Erythroid-2-Related Factor-2 (Nrf2) were also done. SFD group showed significantly elevated liver transaminases, inflammatory markers, HOMA-IR, dyslipidemia, reduced adiponectin, and deficient anti-oxidative response compared to other groups together with disturbed hepatic and aortic architecture. Other treated groups showed an improvement. PUFAs group showed the highest level of improvement. Not all high-fat diets are hazardous. Diets rich in PUFAs, MUFAs, MCFAs, or SCFAs may protect against the hazards of high caloric diet.

The correlation between HOMA-IR and cardiometabolic risk index among different metabolic adults: a cross-sectional study.

This study aimed to explore the correlation between homeostasis model assessment of insulin resistance(HOMA-IR)and cardiometabolic risk index(CMRI) among different metabolic adults to evaluate the value of HOMA-IR in predicting cardiometabolic risk. This cross-sectional study was conducted over 18 months (from August 1, 2020 to February 18, 2022) and included 1550 participants divided into non-metabolic syndrome (non-MetS) group (n = 628) and metabolic syndrome (MetS) group (n = 922) in three centers of China. Logistic regression analysis was employed to investigate the correlation between HOMA-IR, body fat percentage, BMI (body mass index), visceral fat index, waist-to-hip ratio, vitamin D, and CMRI. Further analysis was conducted to evaluate the ability of HOMA-IR in diagnosing high CMRI within different metabolic, gender, and age groups to predict the risk of cardiovascular disease (CVD). HOMA-IR was significantly higher in the MetS group compared with the non-MetS group (P < 0.05). CMRI was significantly higher in the MetS group compared to the non-MetS group (P < 0.05). According to ROC curve analysis, HOMA-IR can predict cardiovascular risk (CVR) in the general population, non-MetS individuals, and MetS people. Logistic regression analysis revealed that BMI, visceral fat index, waist-to-hip ratio, and HOMA-IR are independent risk indicators of high CVR, whereas vitamin D may exert a protective role. HOMA-IR was an independent risk factor for increased CVR in MetS patients. Moreover, HOMA-IR elevates the risk of CVD regardless of MetS and thus can be used for screening the general population. The study was registered at the Chinese Clinical Trial Registry (Registration Number: ChiCTR2100054654).

Multi-dimensional comparison of abdominal obesity indices and insulin resistance indicators for assessing NAFLD

BackgroundThe prevalence of non-alcoholic fatty liver disease (NAFLD) keeps increasing annually worldwide. Non-invasive assessment tools for evaluating the risk and severity of the disease are still limited. Insulin resistance (IR) and abdominal obesity (ABO) are closely related to NAFLD.MethodsA retrospective large-scale, population-based study was conducted based on the data from the 2017–2018 cycle of the National Health and Nutrition Examination Survey (NHANES). Three ABO indices, namely lipid accumulation product (LAP), visceral obesity index (VAI), waist circumference-triglyceride index (WTI), and three IR indices, including triglyceride glucose index (TyG), homeostasis model assessment of insulin resistance (HOMA-IR) and metabolic score for insulin resistance (METS-IR), were analyzed and compared for their relationships with NAFLD based on weighted multivariable logistic regression, spearman correlation heatmap, smooth curve fittings. The area under the curve (AUC) of receiver-operating characteristic (ROC) curve was used to evaluate the diagnostic capability of these indices for NAFLD. Differences among the AUCs were calculated and compared by Delong test.ResultsIn total, 3095 participants were included in our study among which 1368 adults were diagnosed with NAFLD. All six indices presented positive associations with NAFLD. There was a claw-shaped curve between HOMA-IR, VAI, LAP and NAFLD while a smooth semi-bell curve was observed in TyG, METS-IR and WTI. LAP and HOMA-IR had the best diagnostic capability for NAFLD (LAP: AUC = 0.8, Youden index = 0.48; HOMA-IR: AUC = 0.798, Youden index = 0.472) while VAI (AUC = 0.728, Youden index = 0.361) showed the lowest predictive value. The correlation heat map indicated positive correlations between all six indices and liver function, hepatic steatosis and fibrosis severity. In the NAFLD group, IR indicators presented a stronger association with alanine aminotransferase (ALT) compared with ABO indices.ConclusionsAll six indices can screen NAFLD withLAP and HOMA-IR being possibly optimal predictors. IR indices may be more sensitive to identify acute hepatic injury in NAFLD patients than ABO indices.

Insulin-based or non-insulin-based insulin resistance indicators and risk of long-term cardiovascular and all-cause mortality in the general population: A 25-year cohort study

ObjectiveAlthough insulin resistance (IR) has been recognized to be a causal component in various diseases, current information on the relationship between IR and long-term mortality in the general population is limited and conclusions varied among different IR indicators and different populations. We aimed to assess associations between different measurements of IR with long-term all-cause mortality and cardiovascular mortality risk for the general population. Research design and methodsWe included 13,909 individuals from the Third National Health and Nutrition Examination Survey. Mortality was identified via National Death Index information until December 31, 2019. IR was measured using fasting insulin, homeostasis model assessment of IR (HOMA-IR), homeostasis model assessment of β-cell function, quantitative insulin sensitivity check index (QUICKI), insulin-to-glucose ratio (IGR), triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), and hypertriglyceridemic-waist phenotype. ResultsDuring median 25-year follow-up, 5,306 all-cause mortality events occurred. After multivariate adjustment, variables significantly associated with elevated all-cause mortality risk were (hazard ratio [95 % confidence interval]): higher insulin (1.07 [1.02;1.13]); HOMA-IR (1.08 [1.03;1.13]); IGR (1.05 [1.00;1.11]); TyG (1.07 [1.00;1.14]); TyG-BMI (1.24 [1.02;1.51]); lower QUICKI (0.91 [0.86–0.96]). After stratification by diabetes status, higher insulin, HOMA-IR, TyG-BMI and lower QUICKI were significantly associated with increased risk of all-cause mortality in both diabetes and non-diabetes populations (all P for interaction > 0.05). Higher TyG (adjusted HR 1.17 [1.09;1.26], P for interaction = 0.018) and hypertriglyceridemic-waist phenotype (adjusted HR 1.26 [1.08;1.46], P for interaction = 0.047) were significantly associated with increased risk of all-cause mortality in patients with diabetes, however, these associations could not be seen in people without diabetes. Similar results were observed between the above-mentioned IR indicators and cardiovascular death. ConclusionsFasting insulin, HOMA-IR, TyG-BMI, and QUICKI may indicate mortality risk in diabetes and non-diabetes populations, with TyG and the hypertriglyceridemic-waist phenotype showing particular relevance for individuals with diabetes. Further studies are needed to validate these findings and determine their broader applicability.

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.