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ABSTRACT Objectives: To validate the homeostasis model assessment (HOMA) of insulin resistance (IR) as a surrogate to the hyperglycemic clamp to measure IR in both pubertal and postpubertal adolescents, and determine the HOMA-IR cutoff values for detecting IR in both pubertal stages. Subjects and methods: The study sample comprised 80 adolescents of both sexes (aged 10-18 years; 37 pubertal), in which IR was assessed with the HOMA-IR and the hyperglycemic clamp. Results: In the multivariable linear regression analysis, adjusted for sex, age, and waist circumference, the HOMA-IR was independently and negatively associated with the clamp-derived insulin sensitivity index in both pubertal (unstandardized coefficient - B = −0.087, 95% confidence interval [CI] = −0.135 to −0.040) and postpubertal (B = −0.101, 95% CI, −0.145 to −0.058) adolescents. Bland-Altman plots showed agreement between the predicted insulin sensitivity index and measured clamp-derived insulin sensitivity index in both pubertal stages (mean = −0.00 for pubertal and postpubertal); all P > 0.05. The HOMA-IR showed a good discriminatory power for detecting IR with an area under the receiver operator characteristic curve of 0.870 (95% CI, 0.718-0.957) in pubertal and 0.861 (95% CI, 0.721-0.947) in postpubertal adolescents; all P < 0.001. The optimal cutoff values of the HOMA-IR for detecting IR were > 3.22 (sensitivity, 85.7; 95% CI, 57.2-98.2; specificity, 82.6; 95% CI, 61.2-95.0) for pubertal and > 2.91 (sensitivity, 63.6; 95% CI, 30.8-89.1, specificity, 93.7; 95%CI, 79.2-99.2) for postpubertal adolescents. Conclusion: The threshold value of the HOMA-IR for identifying insulin resistance was > 3.22 for pubertal and > 2.91 for postpubertal adolescents.
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Objective:To investigate the effects of preoperative oral high glucose solution on postoperative recovery, homeostasis model assessment-insulinresistance and high sensitivity C-reactive protein level in patients with gastric cancer.Methods:A total of 83 patients with gastric cancer diagnosed and treated in Hefei Hospital of Anhui Medical University from Jan. 2018 to Jun. 2020 were selected and divided into study group (42 cases) and control group (41 cases) according to whether or not they were given oral glucose solution before operation. In the first 4 hours, 500 ml of 10% glucose solution (glucose solution, GS) was taken orally, and the control group did not take it before surgery. The postoperative recovery (time of first exhaust after operation, time of first defecation, length of hospitalization after operation) , postoperative complications, HOMA-IR and serum hsCRP levels between the two groups were observed and compared.Results:The two groups had very small differences in general information such as gender, age, BMI, TNM staging, and surgical methods ( P>0.05) . In comparison of HOMA-IR index, before treatment, the difference of HOMA-IR index between the two groups was small ( P>0.05) ; after treatment, the difference of HOMA-IR index between the two groups increased (1.80±0.45 vs 5.65±1.46 for the study group before and after treatment, 1.92±0.43 vs 11.70±3.05 for the control group before and after treatment) , and the HOMA-IR index of the control group was higher than that of the study group ( P<0.05) . In comparison of hsCRP levels, before treatment, there was little difference in hsCRP levels between the two groups ( P>0.05) ; after treatment, hsCRP levels in the two groups increased (1.23±0.90 vs 40.40±27.05 for the study group before and after treatment, and 1.40±1.15 vs 80.05±38.85 for the control group before and after treatment) , and the hsCRP level of the control group was higher than that of the study group ( P<0.05) . In terms of postoperative recovery, the study group’s first exhaust time, first defecation time, and postoperative hospital stay were significantly shorter than those of the control group [ (3.35±0.50, 4.05±0.50, 14.65±1.90) vs (4.30±0.90, 5.70±1.15, 16.15±2.05) , P<0.05]. In comparison with postoperative complications, the total incidence of postoperative gastric bleeding, anastomotic leakage, intestinal obstruction, and other complications was 11.9% for the study group and the total incidence of complications was 14.63% in the control group ( P>0.05) . Conclusions:After operation, oral GS can reduce insulin resistance and inflammation in patients with gastric cancer. It has positive significance to promote postoperative rehabilitation.
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Background: The true prevalence of both NAFLD and NASH are elusive but estimates based on imaging and autopsy studies suggest that about 20-30% of the adults in United States and western countries have excess fat accumulation in the liver. About 10% of these, strictly speaking about 2-3% of the adult population fulfils the criteria of NASH. True prevalence of NAFLD in Indian patients is not known. So, this study was planned to look for current trend of NAFLD in Indian patients.Methods: This prospective observational study was conducted in the Department of Medicine on 65 patients with ultra-sonography finding of fatty liver disease with no history of alcohol, in one year study duration.Results: It is observed that maximum patients are of middle age from age 31-60 years comprising 76% of patients. Out of total patients, 34% and 66% were males and females respectively. Out of 65 patients, 45(69%) had obesity and maximum number of the patients had waist hip ratio and neck circumference more than the cut off value. Out of 65 patients, 19(29%) had hypercholesterolemia and 42(65%) had hyper-triglyceridemia. Out of 65 patients, 32(49%) had higher alanine transaminase (ALT) level and 17(29%) patients had higher AST level. Out of 65 patients, 29(45%) had the homeostasis model assessment of insulin resistance (HOMA-IR) less than cut off value (less than 2.25) and remaining 36(55%) were having HOMA-IR more than 2.25. The sensitivity for the cut off value for HOMA-IR is 72.7% and specificity is 49.1%.Conclusions: Obesity, neck circumference, and waist hip ratio are higher than its cut off value for both sex, insulin resistance evaluated through HOMA- IR directly relates to the causation of NAFLD but at some extents higher triglyceride levels are also associated but the values of ALT and AST levels did not give any clue in these cases of NAFLD.
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Objective To study the diagnostic value of glycosylated hemoglobin(HbA1c)combined with ho-meostasis model assessment of insulin resistance( HOMA-IR)in obese children with prediabetes. Methods Five hundred and ninety-five obese children diagnosed at Outpatient Department of Pediatrics,Tianjin Medical University General Hospital were enrolled in the study from October 2012 to March 2016. Oral glucose tolerance test(OGTT)and HbA1c test were performed after fasting 8 to 10 hours for all the subjects. According to the World Health Organization (WHO)criteria,the obese children were divided into non-prediabetes group(483 cases)and prediabetes group(112 cases). The levels of HOMA-IR and HbA1c were compared between 2 groups. The receiver operating characteristic (ROC)curve was drawn for screening prediabetes,and the diagnosis value of area under curve( AUC)and different cutoff value were calculated. Logistic regression model was used to analyze the combined diagnosis of prediabetic AUC with preserved probability as a single variable and ROC curve. Z test was used to compare the statistical differences of each AUC. Results The levels of HbA1c and HOMA-IR of the prediabetes obese children group[(5. 65 ± 0. 36)%and 11. 60 ± 8. 86]were all higher than those of the non-prediabetes obese children group[(5. 47 ± 0. 32)% and 6. 49 ± 4. 61],and there were significant differences between 2 groups(all P<0. 01). The AUC of HbA1c ROC for prediabetes was 0. 633. When the cutoff was 5. 585%,the sensitivity and specificity were 0. 584 and 0. 601,respective-ly. The AUC of HOMA-IR ROC for prediabetes was 0. 758. When the cutoff was 7. 244,the sensitivity and specificity were 0. 779 and 0. 669,respectively. When combined with HOMA-IR and HbA1c,the AUC was 0. 764. Compared with HbA1c,there were significant differences in AUC of ROC curve between HOMA-IR alone or HOMA-IR com-bined with HbA1c in the diagnosis of prediabetes mellitus(all P<0. 01). There was no significant difference in AUC of ROC curve between HOMA-IR alone and HOMA-IR combined with HbA1c in the diagnosis of prediabetes melli-tus(P>0. 05). Conclusions Only HOMA-IR or HOMA-IR combined with HbA1c may be the optimal indexes for diagnosing obese children with prediabetes.
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Objective@#To explore the relationship between insulin resistance and plasma hypersensitive reactive protein (hs-CRP) in patients with chronic schizophrenia.@*Methods@#A total of 247 inpatients with chronic schizophrenia (patient group) and 166 cases of normal individuals(control group) were enrolled.Their general demographic and clinical data were collected, fasting blood glucose, hs-CRP, c-peptide and insulin indexes were tested, and insulin resistance index (HOMA-IR) was calculated.The insulin resistance level of the patients group and the control group was compared by Mann-Whitney U test, and the relationship between insulin-resistance and hs-CRP in patients group was analyzed using Spearman correlation analysis.@*Results@#(1)The levels of C-peptide (2.53(2.06, 3.23)ng/ml vs 2.24(1.89, 2.87)ng/ml), insulin (7.68(4.66, 11.97)μIU/ml vs 7.02(4.31, 9.59)μIU/ml) and HOMA-IR (1.75(1.09, 3.07) vs 1.57(0.97, 2.22)) in the patient group were significantly higher than those in the control group(all P<0.05). (2) The levels of HOMA-IR( 1.91(1.21, 3.74) vs 1.70(1.02, 2.72)) in patients with high hs-CRP(≥3 mg/L) was higher than those in the patients with low hs-CRP(<3 mg/L)(P<0.05). (3)Spearman correlation analysis showed that HOMA-IR was positively correlated with plasma hs-CRP level in the patient group (r=0.139, P<0.05). (4)After logarithmic transformation of related variables, multivariate linear regression analysis showed that HOMA-IR was linearly correlated with hs-CRP level and boy weight index.@*Conclusion@#The hs-CRP level in chronic schizophrenia has a positive predictive effect on insulin resistance.Detection of hs-CRP level in schizophrenic patients is helpful to assess metabolic risk of insulin.
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BACKGROUND: Insulin resistance syndrome is recognized as a risk factor for cardiovascular disease (CVD) and type 2 diabetes mellitus (DM). Even though early management and prevention during the pre-DM stage is emphasized, few studies have investigated the risk of insulin resistance and CVD in individuals with normal blood glucose. This study investigates the effectiveness of the high sensitivity C-reactive protein (hs-CRP) test as a preventative measure by examining the relationship between hs-CRP and a homeostasis model assessment of insulin resistance (HOMA-IR) in adult men without DM.METHODS: Our study included 1,924 men who were ≥20 years of age, from the 2015 Korean National Health and Nutrition Examination Survey. Based on fasting glucose levels, subjects were divided into two categories: normal and impaired fasting glucose (IFG).RESULTS: Student's t-test was used to compare the means of the normal and IFG categories, and hs-CRP and HOMA-IR showed significantly lower values for all variations, except height and smoking, at a significance level of 0.001. All subjects were classified into quadrant groups according to hs-CRP values, and ANCOVA was performed to compare the HOMA-IR average of each group. The mean IR did not significantly differ between cohorts, except for in the IFG category of one group.CONCLUSION: In adult men without DM, hs-CRP did not significantly correlate with HOMA-IR, except in the IFG category. This indicates that the risk of CVD increases continuously in the normal blood sugar range. Further studies are needed to improve the usefulness of the high sensitivity hs-CRP test.
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Adult , Humans , Male , Blood Glucose , C-Reactive Protein , Cardiovascular Diseases , Cohort Studies , Diabetes Mellitus, Type 2 , Fasting , Glucose , Homeostasis , Insulin Resistance , Insulin , Nutrition Surveys , Risk Factors , Smoke , SmokingABSTRACT
BACKGROUND: This study aimed to identify the gender-specific characteristics of the surrogate measures of insulin resistance and to establish valid cut-off values for metabolic abnormalities in a representative sample in Korea. METHODS: Data were collected from the datasets of the Korean National Health and Nutrition Examination Survey between 2007 and 2010. The total number of eligible participants was 10,997. We used three measures of insulin resistance: the homeostasis model assessment-insulin resistance (HOMA-IR), McAuley index, and triglyceride and glucose (TyG) index. The estimated cut-off values were determined using the highest score of the Youden index. RESULTS: The area under the curve (AUC) of the HOMA-IR, McAuley index, and TyG index were 0.737 (95% confidence interval [CI], 0.725–0.750), 0.861 (95% CI, 0.853–0.870), and 0.877 (95% CI, 0.868–0.885), respectively. The cut-off values of the HOMA-IR were 2.20 in men, 2.55 in premenopausal women, and 2.03 in postmenopausal women, and those of the McAuley index were 6.4 in men and 6.6 in premenopausal and postmenopausal women. For the TyG index, the cut-off values were 4.76 in men and 4.71 in premenopausal and postmenopausal women. CONCLUSION: In conclusion, the present study provides the valid cut-off values of the indirect surrogate measures of insulin sensitivity. These values may be used as reference for insulin sensitivity in a clinical setting and may provide a simple and supplementary method for identifying populations at risk of insulin resistance.
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Female , Humans , Male , Dataset , Glucose , Homeostasis , Insulin Resistance , Insulin , Korea , Methods , Nutrition Surveys , Population Characteristics , TriglyceridesABSTRACT
<p><b>Objective</b>To investigate the influence of insulin resistance on male reproductive hormones and semen quality.</p><p><b>METHODS</b>Using the electrochemiluminescence method, we measured the levels of follicle stimulating hormone (FSH), luteinizing hormone (LH), prolactin (PRL), estradiol (E2) and testosterone (T) in the serum of 83 infertile males. We detected the levels of fasting plasma glucose (FPG) and fasting insulin (FINS) and calculated the insulin resistance index presented as homeostasis model assessment of insulin resistance (HOMA-IR). Based on HOMA-IR, we divided the patients into three tertile groups, T1 (HOMA-IR 0.36－0.55, n = 27), T2 (HOMA-IR 0.56－0.80, n = 28) and T3 (HOMA-IR 0.81－1.97, n = 28), obtained their semen parameters by computer-assisted semen analysis (CASA) and analyzed the correlation of HOMA-IR with male reproductive hormone levels and semen parameters.</p><p><b>RESULTS</b>With the elevation of HOMA-IR, the patients of the T1, T2 and T3 groups showed significant decreases in the serum T level (［14,26 ± 4.27］ vs ［14.75 ± 5.00］ vs ［11.62 ± 3.68］ nmol/L, P <0.05) and the percentage of progressively motile sperm (PMS) (［51.04 ± 15.10］% vs ［48.04 ± 16.24］% vs ［37.84 ± 18.23］%, P <0.05). HOMA-IR was correlated negatively with the serum T level (r = －0.333, P = 0.002), semen volume (r = －0.23, P = 0.029) and PMS (r = －0.27, P = 0.015), and so was FINS with the serum T level (r = －0.327, P = 0.003) and PMS (r = －0.315, P = 0.004), while the semen volume was correlated positively with the levels of serum T (r = 0.221, P = 0.048) and FSH (r = 0.222, P = 0.047). Multivariate linear regression analysis showed that HOMA-IR was an independent influencing factor for PMS and the body mass index (BMI) was that for the semen volume and total sperm count.</p><p><b>CONCLUSIONS</b>Insulin resistance may reduce semen quality by changing the levels of male reproductive hormones.</p>
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OBJECTIVES: This study was conducted to examine the association of serum Vitamin D with insulin resistance and β-cell function in Korean health checkup examinees. METHODS: This study subjects were 374 healthy adults (199 males, 175 females) over the age of 20, who visited a general hospital medical center located in Haenam-gun, Jeollanam-do. To find the association of Vitamin D with HOMA-IR and HOMA-β, the used statistical analysis were ANOVA and ANCOVA. RESULTS: Of the study subjects, the level of serum Vitamin D defined by deficient group, insufficient group and sufficient group was 38.5%, 48.1% and 13.4%, respectively. According to the level of serum Vitamin D, the mean values of HOMA-IR were 1.92±1.08 in sufficient group, 1.99±1.04 in the insufficient group and 2.91±1.05 in deficient group and there were statistically significant different(p<0.001). The mean values of HOMA-β were 84.69±1.07 in sufficient group, 78.41±1.04 in the insufficient group and 80.48±1.04 in deficient group, and there were not significant. As a result of ANCOVA, adjusted mean of HOMA-IR were statistically significant different (p<0.001), but those of HOMA-β were not statistically significant according to the level of serum Vitamin D. CONCLUSIONS: The insufficient level of serum Vitamin D was relatively high in healthy adults who live in rural area, and it was found that HOMA-IR significantly increased when Vitamin D was deficient. To prevent insulin resistance or diabetes, it is necessary to provide sufficient information related to sufficient production of Vitamin D such as Vitamin D supplement, sun exposure, food intake and etc.
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Adult , Humans , Male , Eating , Hospitals, General , Insulin Resistance , Insulin , Solar System , Vitamin D , VitaminsABSTRACT
BACKGROUND: The effect of pravastatin on insulin resistance (IR) is controversial and poorly studied in prediabetes. METHODS: This study was performed in hyperglycemic patients at Saint Carollo Hospital from January 1, 2013 to December 31, 2015. Among them, we selected 40 patients (24 prediabetes and 16 new onset diabetes [NOD]) who had been treated with pravastatin 20 mg daily for 2 or 4 months and in whom fasting insulin and fasting glucose had been measured before and after administration of pravastatin. IR was defined as a fasting insulin level ≥ 12.94 µU/mL, homeostasis model for IR (HOMA-IR) ≥ 3.04 or quantitative insulin sensitivity check index (QUICKI) ≤ 0.32. RESULTS: Pravastatin treatment decreased total cholesterol and low-density lipoprotein cholesterol levels by 25.2% and 32.3% respectively (P = 0.000 for all), but did not affect fasting insulin level, HOMA-IR, or QUICKI in total, prediabetes, and NOD groups. Prevalence of IR was significantly different between prediabetes and NOD groups both before and after pravastatin treatment (0% versus 37.5%, P = 0.001), but pravastatin treatment did not affect the prevalence of IR in the prediabetes or NOD group. Fasting glucose level was not significantly different before and after pravastatin treatment in prediabetes (106.8 ± 6.4 mg/dL versus 103.8 ± 8.4 mg/dL, P = 0.223) but was significantly different in the NOD group (171.5 ± 70.1 mg/dL versus 124.4 ± 26.7 mg/dL, P = 0.017). CONCLUSION: Pravastatin treatment did not affect IR or fasting glucose level in hyperglycemic patients. Therefore, we suggest pravastatin can be prescribed to hypercholesterolemic patients with hyperglycemia.
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Humans , Cholesterol , Fasting , Glucose , Homeostasis , Hyperglycemia , Insulin Resistance , Insulin , Lipoproteins , Pravastatin , Prediabetic State , Prevalence , SaintsABSTRACT
BACKGROUND: The original homeostasis model assessment (HOMA1) and the updated HOMA model (HOMA2) have been used to evaluate insulin resistance (IR) and β-cell function, but little is known about the usefulness of HOMA2 for the prediction of diabetes in Koreans. The aim of this study was to demonstrate the usefulness of HOMA2 as a predictor of type 2 diabetes mellitus in Koreans without diabetes. METHODS: The study population consisted of 104,694 Koreans enrolled at a health checkup program and followed up from 2001 to 2012. Participants were divided into a normal glucose tolerance (NGT) group and a pre-diabetes group according to fasting glucose and glycosylated hemoglobin levels. Anthropometric and laboratory data were measured at the baseline checkup, and HOMA values were calculated at the baseline and follow-up checkups. The hazard ratios (HRs) of the HOMA1 and HOMA2 values and the prevalence of diabetes at follow-up were evaluated using a multivariable Cox proportional hazards model and Kaplan-Meier analysis. RESULTS: After adjusting for several diabetes risk factors, all of the HOMA values except 1/HOMA1-β and 1/HOMA2-β in the NGT group were significant predictors of the progression to diabetes. In the NGT group, there was no significant difference in HOMA1-IR (HR, 1.09; 95% confidence interval [CI], 1.04 to 1.14) and HOMA2-IR (HR, 1.11; 95% CI, 1.04 to 1.19). However, in the pre-diabetes group, 1/HOMA2-β was a more powerful marker (HR, 1.29; 95% CI, 1.26 to 1.31) than HOMA1-IR (HR, 1.23; 95% CI, 1.19 to 1.28) or 1/HOMA1-β (HR, 1.14; 95% CI, 1.12 to 1.16). In the non-diabetic group (NGT+pre-diabetes), 1/HOMA2-β was also a stronger predictor of diabetes (HR, 1.27; 95% CI, 1.25 to 1.29) than HOMA1-IR (HR, 1.14; 95% CI, 1.12 to 1.15) or 1/HOMA1-β (HR, 1.13; 95% CI, 1.11 to 1.14). CONCLUSION: HOMA2 is more predictive than HOMA1 for the progression to diabetes in pre-diabetes or non-diabetic Koreans.
Subject(s)
Diabetes Mellitus, Type 2 , Fasting , Follow-Up Studies , Glucose , Glycated Hemoglobin , Homeostasis , Insulin Resistance , Kaplan-Meier Estimate , Prevalence , Proportional Hazards Models , Risk FactorsABSTRACT
Aims: To find out role of insulin, homeostasis model assessment for insulin resistance (HOMA-IR) with lipid profile test in evaluation of cardiovascular disease risk in thyroid disorder patients. Study Design: An analytical case control study. Place and Duration of Study: Department of Biochemistry, School of Health and Allied Sciences, Pokhara University, between November 2013 and February 2014. Methodology: The study encompassed of 90 subjects; 30 randomly selected healthy volunteers and 30 Hypothyroid and 30 Hyperthyroid subjects selected from different Hospital of Pokhara. The participants were identified as hypothyroid and hyperthyroid relying in serum FT3, FT4 and TSH levels, clinical history and medication. The participants were asked to fill the questionnaire, 5 ml of the venous blood was collected the measurement of thyroid hormones (FT3, FT4 and TSH), serum lipid profile (TC, TG, HDL, LDL, VLDL) and serum Insulin. Results: The mean value of FT3, FT4, TSH of control subjects were 2.5±0.63 (pg/ml), 1.39±0.28 (ng/dl), 2.82±1.75 (umol/ml), hyperthyroid subjects were 2.18±0.88 (pg/ml), 0.96±0.32 (ng/dl), 24.28±19.8 (umol/ml) and hypothyroid subjects were 4.52±1.72 (pg/ml), 3.36±3.61 (ng/dl), 0.156±0.14 (umol/ml) respectively. The mean value of serum total cholesterol (TC), triglyceride (TG), high density lipoprotein (HDL), low density lipoprotein LDL cholesterol and vary low density lipoprotein (VLDL) were greatly increased in hypothyroid subjects 240 (mg/dl), 194.7(mg/dl), 49.63, 151.51 and 38.78 (mg/dl) respectively as compared to control 166.59 (mg/dl), 151.07 (mg/dl), 50.23, 86.05 and 30.21 (mg/dl) respectively and hyperthyroid subjects 62.13 (mg/dl), 131.61(mg/dl), 45.o7, 90.75 and 26.32 (mg/dl) respectively. An increase in serum insulin level is in both hypothyroid 32.78 (uIU/mL) and hyperthyroid 30.08 (uIU/mL). HOMA-IR was significantly associated with TC, TG and LDL. Spearman’s correlation analysis of insulin with TC, LDL Cholesterol, TG and VLDL that of HOMA-IR with TC and LDL while insulin with TC /HDL ratio, LDL Cholesterol and TC also HOMA-IR with TC /HDL and LDL Cholesterol shows significant correlation. Conclusion: Thyroid dysfunction has a great impact on lipid profile as well as a number of other cardiovascular disease (CVD) risk factors. There is a close relation between IR and thyroid hormones. The insulin resistance in present in hypo and hyperthyroid patients and thyroid dysfunctions induce significant changes in lipid profile. Therefore estimation of traditional lipid profile along with some additional parameters like serum insulin, IR helps to assess the thyroid status. Lipid profile test along with insulin and HOMA-IR can also help in the early evaluation of possible risk of CVD in thyroid disorder patients.
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Objective To investigate the relationship and the influence between pre-diabetes mellitus (PDM) and hyperuricemia (HUA).Methods 157 PDM patients,aged 20 to 75 years old were selected from the Second Clinical Medical College of Harbin Medical University,from 2009 February to 2010 February and were divided into HUA group (76 cases) and NUA group (81 cases).All the patients had not been on thiazide drugs.T-test and Pearson correlation analysis were used to calculate the differences and correlation between uric acid and biochemical indicators.Results In the HUA group,BMI was (27.74 ± 2.88) kg/m2,waist to height ratio (WSR) was (0.55 ± 0.41),TC was (6.61 ± 0.73) mmol/L,TG was (3.94 ± 1.97) mmol/L,LDL-C was (3.60 ± 0.45) mmol/L and homeostasis model assessment-insulin resistance index (HOMA-IR) was (3.09± 1.20).There were significant differences noticed in BMI,TG,TC,LDL-C,HOMA-IR at higher level in the HUA group than those in the NUA group.Pre-diabetes uric acid levels were positively correlated with TG,TC,LDL-C while HOMA-1R (TG:r=0.29,TC:r=0.33,LDL-C:r=0.49,HOMA-IR:r=0.51,P＜0.05)was negatively correlated (r=－0.30,P＜0.05) with the HbAlc.Conclusion The levels of PDM uric acid might both be related with TC,TG,LDL-C and HOMA-IR.The High level of uric acid status in vivo appeared closely related to HOMA-IR,which could further promote the progress of pre-diabetic patients to diabetes and causing dyslipidemia.Our findings suggested that the levels of pre-diabetes uric acid levels should be under concern.
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Insulin resistance (IR) is now considered as a chronic and low level inflammatory condition. It is closely related to altered glucose tolerance, hypertriglyceridemia, abdominal obesity, and coronary heart disease. IR is accompanied by the increase in the levels of inflammatory cytokines like interleukin-1 and 6, tumor necrosis factor-alpha. These inflammatory cytokines also play a crucial part in pathogenesis and progression of insulin resistance. Periodontitis is the commonest of oral diseases, affecting tooth investing tissues. Pro-inflammatory cytokines are released in the disease process of periodontitis. Periodontitis can be attributed with exacerbation of IR. Data in the literature supports a "two way relationship" between diabetes and periodontitis. Periodontitis is asymptomatic in the initial stages of disease process and it often escapes diagnosis. This review presents the blurred nexus between periodontitis and IR, underlining the pathophysiology of the insidious link. The knowledge of the association between periodontitis and IR can be valuable in planning effectual treatment modalities for subjects with altered glucose homeostasis and diabetics. Presently, the studies supporting this association are miniscule. Further studies are mandatory to substantiate the role of periodontitis in the deterioration of IR.
Subject(s)
Aluminum Hydroxide , Carbonates , Coronary Disease , Cytokines , Diabetes Mellitus, Type 2 , Glucose , Homeostasis , Hypertriglyceridemia , Insulin , Insulin Resistance , Interleukin-1 , Obesity, Abdominal , Periodontitis , Resin Cements , Tooth , Tumor Necrosis Factor-alpha , United NationsABSTRACT
ObjectiveTo compare the sensitivity and specificity of a new index of insulin resistance (IR) derived from plasma triglyceride and glucose with homeostasis model assessment for insulin resistance index ( HOMA-IR) and insulin sensitivity index from frequent sampling intravenous glucose tolerance test (FSIGT-ISI).Methods A total of 1024 subjects (240 normal control,335 with obesity,312 impaired glucose regulation,and 137 type 2 diabetes mellitus) were included in the present study.Standard oral glucose tolerance test,insulin release test,lipid profiles,and other biochemical markers were measured. Among them 540 subjects were selected to undertake FSIGT.TyG index is derived from plasma triglyceride and fasting glucose.TyG2 index is derived from plasma triglyceride and postprandial 2 plasma glucose.ResultsPearson correlation coefficient between TyG and HOMA-IR or FSIGT-ISI was 0.427 ( P＜0.01 ) and -0.100 ( P=0.024 ),respectively,and that between TyG2 and HOMA-IR or FSIGT-ISI was 0.455 ( P＜0.01 ) and - 0.162 ( P＜0.01 ),respectively.The sensitivity and specificity of TyG index for diagnosis of IR was 68.5％ and 63.5％ compared with HOMA-IR,and 68.5％ and49.5％ compared with FSIGT-ISI.For TyG2 index,the slightly higher sensitivity ( 81.7％ with HOMA-IR,75.7％ with FSIGT-ISI),but lower specificity (51.5％ with HOMA-IR,48.2％ with FSIGT-ISI) were found.ConclusionsBothTyGandTyG2 indices could be used as a surrogate for assessing IR in Chinese subjects.However,considering its moderately high sensitivity but low specificity,these two indices are limited in the use of large-scale epidemiological screening.
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Objective21 -hydroxylase deficiency ( 21-OHD) patients are at high risk of developing metabolic syndrome.Low dose of glucocorticoid is crucial in the treatment.This study is to investigate the effect of glucocorticoid therapy on potential metabolic disorders.Methods Thirty-two treated and 31 untreated 21-OHD patients were recruited.The components of metabolic syndrome were investigated in both groups.Results Serum testosterone [ (0.61 ±0.12 vs 4.10±0.66) ng/ml,P＜0.01 ],17-(OH) progesterone[ 17-OHP,( 14.83±3.48 vs 48.52±4.72 )ng/ml,P＜0.01 ],dehydroepiandrosterone sulfate[ DHEAS,(55.7±23.6 vs 405.2±65.7 ) μg/dl,P＜0.01 ],and ACTH[ ( 105.8±44.7 vs 617.4± 163.3 ) pg/ml,P＜0.01 ] levels were significantly reduced,whereas body mass index [ ( 23.2±0.9 vs 21.1 ±0.5 ) kg/mz,P＜0.05 ],systolic blood pressure [ ( 120.5 ± 1.3 vs 115.5 ± 1.8 ) mm Hg,P＜0.05,1 mm Hg =0.133 kPa ],serum triglyceride [ ( 1.8±0.2 vs 1.1 ±0.1 ) mmol/L,P＜0.05 ],and homeostasis model assessment for insulin resistance [ HOMA-IR,( 2.07 ± 0.27 vs 1.16 ± 0.12 ),P ＜ 0.01 ] were markedly increased in glucocorticoid treated group.Multivariates regression analysis showed that body mass index was the most important risk factor for HOMA-IR.The correlation of glucocorticoid replacement and HOMA-IR was not observed after adjustment of age and body mass index.ConclusionGlucocorticoid treatment increases body weights,which leads to insulin resistance and metabolic disorders for 21-OHD patients.More attention should be paid to control BMI and metabolic disturbances in 21-OHD patients.
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Objective To explore the association between risk factors of cardiovascular diseases (CVD) and insulin resistance in a cross-sectional study.Methods An investigation on risk factors of CVD was carried out using stratified-random sampling method among 1475 participants in Beijing.Homeostasis model assessment index(HOMA) was calculated to assess the insulin resistance in 1359 non-diabetic subjects aged 25-64 years.Insulin resistance was defined as HOMA index (fasting glucose in mmol/L×fasting insulin in mU/L/22.5) in the top quartile of the studied population.Results The degree of correlation between risk factors and natural logarithm of HOMA index in descending order were glucose,body mass index (BMI),triglyceride ( TG ),waist circumstance,high density lipoprotein- cholesterol (HDL-C),uric acid,diastolic blood pressure,systolic blood pressure and total cholesterol(TC) (all P＜0.01 ).After adjusting factors as sex and age,glucose (r=0.49),BMI(r=0.44),TG (r=0.44),waist circumstance (r=0.41),uric acid (r=0.33) and HDL-C (r=-0.32),the systolic blood pressure (r=0.20),diastolic blood pressure (r=0.18) and TC (r=0.16) were independently correlated with HOMA index (P＜0.001).Sex(OR=1.75) ,low HDL-C(OR= 1.80),hyperuricemia(OR=2.11 ),high TG(OR=2.14) and central obesity(OR=2.68)appeared to be independently correlated to insulin resistance in multiple logistic regression analysis.Conclusion The risk factors of CVD as low HDL-C,high TG,central obesity and hyperuricemia were independently correlated to insulin resistance.
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OBJECTIVE: To investigate cut-off values for HOMA1-IR and HOMA2-IR to identify insulin resistance (IR) and metabolic syndrome (MS), and to assess the association of the indexes with components of the MS. METHODS: Nondiabetic subjects from the Brazilian Metabolic Syndrome Study were studied (n = 1,203, 18 to 78 years). The cut-off values for IR were determined from the 90th percentile in the healthy group (n = 297) and, for MS, a ROC curve was generated for the total sample. RESULTS: In the healthy group, HOMA-IR indexes were associated with central obesity, triglycerides and total cholesterol (p < 0.001). The cut-off values for IR were: HOMA1-IR > 2.7 and HOMA2-IR > 1.8; and, for MS were: HOMA1-IR > 2.3 (sensitivity: 76.8 percent; specificity: 66.7 percent) and HOMA2-IR > 1.4 (sensitivity: 79.2 percent; specificity: 61.2 percent). CONCLUSION: The cut-off values identified for HOMA1-IR and HOMA2-IR indexes have a clinical and epidemiological application for identifying IR and MS in Westernized admixtured multi-ethnic populations.
OBJETIVO: Determinar pontos de corte para os índices HOMA1-IR e HOMA2-IR na identificação de resistência à insulina (RI) e síndrome metabólica (SM), além de investigar a associação de ambos os índices com os componentes da SM. MÉTODOS: Foram avaliados indivíduos não diabéticos (n = 1.203, 18 a 78 anos) participantes do Estudo Brasileiro de Síndrome Metabólica. Os pontos de corte para RI foram determinados com base no percentil 90 do grupo saudável (n = 297) e, para SM, foi construída uma curva receiver operating characteristic (ROC) para toda a amostra. RESULTADOS: No grupo saudável, os índices HOMA-IR associaram-se à obesidade central, aos triglicérides e ao colesterol total (p < 0,001). Os pontos de corte para RI foram: HOMA1-IR > 2,7 e HOMA2-IR > 1,8; e, para SM, foram: HOMA1-IR > 2,3 (sensibilidade: 76,8 por cento; especificidade: 66,7 por cento) e HOMA2-IR > 1,4 (sensibilidade: 79,2 por cento; especificidade: 61,2 por cento). CONCLUSÕES: Os pontos de corte identificados para os índices HOMA1-IR e HOMA2-IR possuem aplicação clínica e epidemiológica na identificação de RI e SM em populações miscigenadas multiétnicas ocidentalizadas.
Subject(s)
Adolescent , Adult , Aged , Female , Humans , Male , Middle Aged , Young Adult , Homeostasis/physiology , Insulin Resistance/physiology , Metabolic Syndrome/diagnosis , Obesity, Abdominal/diagnosis , Body Mass Index , Brazil/epidemiology , Case-Control Studies , Metabolic Syndrome/metabolism , Obesity, Abdominal/epidemiology , Obesity, Abdominal/metabolism , Reference Values , ROC Curve , Young AdultABSTRACT
BACKGROUND/AIMS: Chronic hepatitis C virus (HCV) infection is associated with a higher risk of the development of insulin resistance. If HCV is a causal factor for insulin resistance, then clearance of HCV might decrease insulin resistance. The aim of this study was to elucidate the effects of clearance of HCV on insulin resistance. METHODS: We analyzed 28 patients with HCV infection who received combination treatment of 180 microgram of pegylated interferon alpha-2a and ribavirin at our institution from May 2004 to November 2006. Insulin resistance was calculated according to the homeostasis model assessment of insulin resistance (HOMA-IR) method. RESULTS: Twenty-two patients (78.6%) achieved sustained virologic response (SVR), where the fasting plasma glucose level significantly decreased after antiviral treatment. Fasting serum insulin and HOMA-IR also significantly decreased after antiviral treatment, whereas the BMI value was not significantly affected. For the nonresponders (n=6), no significant changes were evident in BMI, fasting plasma glucose, fasting serum insulin, and HOMA-IR at 6 months after the end of antiviral treatment. Logistic regression analysis indicated that the only independent factor contributing to the reduction of insulin resistance was the complete disappearance of HCV RNA at 6 months after the end of antiviral treatment (SVR). CONCLUSIONS: The clearance of HCV by the combination therapy of pegylated interferon alpha-2a and ribavirin improves insulin resistance by reducing fasting serum insulin and glucose levels.
Subject(s)
Humans , Fasting , Glucose , Hepatitis C, Chronic , Homeostasis , Insulin , Insulin Resistance , Interferons , Logistic Models , Plasma , Ribavirin , RNA , VirusesABSTRACT
OBJECTIVE: Rheumatoid arthritis (RA) is associated with an increased cardiovascular events. These may be related to insulin resistance (IR). We evaluated status of IR and analyzed the relationship between IR and clinical and laboratory characteristics in patients with RA. METHODS: We examined 52 RA patients (43 females) and 52 age and sex matched healthy controls. We measured Homeostasis model assessment (HOMA) IR, calculated according to fasting serum glucose and insulin. RESULTS: In patients, age was 50.8+/-10.2 years old, disease duration was 42.1+/-30.9 months. In controls, HOMA IR was 0.62+/-0.30 and in patients, it was 1.28+/-0.50. This difference was highly significant (p<0.001). Patients with early RA (disease duration is less than 36 months) were 28, and established RA (more than 36 months) were 24. HOMA IR was significantly higher in patients with established RA (1.42+/-0.45) than those with early RA (1.16+/-0.45) (p=0.03), and significantly correlated with disease duration (r=0.36, p=0.01), BMI (r=0.36, p<0.001), total cumulative prednisolon dose (r=0.34, p=0.01). Disease duration and BMI were independent predictors for HOMA IR (p<0.01, p=0.03). CONCLUSION: In patients with RA, IR measured by HOMA IR was more significantly increased than that of healthy control and significantly correlated with disease duration, BMI, and total cumulative prednisolon dose; however, the determinants of HOMA IR in RA patients were disease duration and BMI.