scholarly journals Serum Interleukin 2 Levels in Patients with Rheumatoid Arthritis and Correlation with Insulin Sensitivity

2002 ◽  
Vol 30 (4) ◽  
pp. 386-390 ◽  
Author(s):  
O Öncül ◽  
C Top ◽  
S Özkan ◽  
Ş Çavuşlu ◽  
M Danaci
Keyword(s):  
Rheumatoid Arthritis ◽  
Insulin Resistance ◽  
Insulin Sensitivity ◽  
Interleukin 2 ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Peripheral Insulin Resistance ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

Interleukin 2 (IL-2), a Th1 lymphocyte-derived cytokine, is thought to play an important role in the pathogenesis of type 2 diabetes and rheumatoid arthritis (RA). The aim of our study was to evaluate changes in serum IL-2 levels and their correlation with glucose metabolism abnormalities, such as insulin resistance, in patients with RA. Thirty-six subjects with varying degrees of disease activity and 20 healthy age-, sex- and body mass index-matched control individuals were evaluated. Patients with any causes of peripheral insulin resistance were excluded. After a 12-h overnight fast, fasting insulin levels, homeostatic model assessment-insulin resistance (HOMA-IR) estimated insulin sensitivity, and serum IL-2 levels were significantly higher in all patients with RA than in the control individuals. Fasting insulin, HOMA-IR scores and IL-2 levels were correlated in the RA group. This study showed that patients with RA have altered IL-2 regulation, and that there was a significant correlation between serum IL-2 levels and insulin sensitivity.

scholarly journals The Relationship between Insulin Resistance and the Cardiovascular Biomarker Growth Differentiation Factor-15 in Obese Patients

2011 ◽  
Vol 57 (2) ◽  
pp. 309-316 ◽  
Author(s):  
Greisa Vila ◽  
Michaela Riedl ◽  
Christian Anderwald ◽  
Michael Resl ◽  
Ammon Handisurya ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Gastric Bypass ◽  
Insulin Sensitivity ◽  
Oral Glucose ◽  
Model Assessment ◽  
Obese Patients ◽  
Growth Differentiation Factor 15 ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model ◽  
The Relationship

BACKGROUND Growth differentiation factor-15 (GDF-15) is a stress-responsive cytokine linked to obesity comorbidities such as cardiovascular disease, inflammation, and cancer. GDF-15 also has adipokine properties and recently emerged as a prognostic biomarker for cardiovascular events. METHODS We evaluated the relationship of plasma GDF-15 concentrations with parameters of obesity, inflammation, and glucose and lipid metabolism in a cohort of 118 morbidly obese patients [mean (SD) age 37.2 (12) years, 89 females, 29 males] and 30 age- and sex-matched healthy lean individuals. All study participants underwent a 75-g oral glucose tolerance test; 28 patients were studied before and 1 year after Roux-en-Y gastric bypass surgery. RESULTS Obese individuals displayed increased plasma GDF-15 concentrations (P < 0.001), with highest concentrations observed in patients with type 2 diabetes. GDF-15 was positively correlated with age, waist-to-height ratio, mean arterial blood pressure, triglycerides, creatinine, glucose, insulin, C-peptide, hemoglobin A1c, and homeostatic model assessment insulin resistance index and negatively correlated with oral glucose insulin sensitivity. Age, homeostatic model assessment index, oral glucose insulin sensitivity, and creatinine were independent predictors of GDF-15 concentrations. Roux-en-Y gastric bypass led to a significant reduction in weight, leptin, insulin, and insulin resistance, but further increased GDF-15 concentrations (P < 0.001). CONCLUSIONS The associations between circulating GDF-15 concentrations and age, insulin resistance, and creatinine might account for the additional cardiovascular predictive information of GDF-15 compared to traditional risk factors. Nevertheless, GDF-15 changes following bariatric surgery suggest an indirect relationship between GDF-15 and insulin resistance. The clinical utility of GDF-15 as a biomarker might be limited until the pathways directly controlling GDF-15 concentrations are better understood.

scholarly journals β-Cell function or insulin resistance was associated with the risk of type 2 diabetes among women with or without obesity and a history of gestational diabetes

2020 ◽  
Vol 8 (1) ◽  
pp. e001060
Author(s):  
Yuxin Fan ◽  
Leishen Wang ◽  
Huikun Liu ◽  
Shuang Zhang ◽  
Huiguang Tian ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Diabetes Risk ◽  
Model Assessment ◽  
Β Cell ◽  
Cell Dysfunction ◽  
Homeostatic Model Assessment ◽  
History Of ◽  
Postpartum Diabetes ◽  
Homeostatic Model

IntroductionTo evaluate the single association of postpartum β-cell dysfunction and insulin resistance (IR), as well as different combinations of postpartum β-cell dysfunction, IR, obesity, and a history of gestational diabetes mellitus (GDM) with postpartum type 2 diabetes risk.Research design and methodsThe study included 1263 women with prior GDM and 705 women without GDM. Homeostatic model assessment was used to estimate homeostatic model assessment of β-cell secretory function (HOMA-%β) and homeostatic model assessment of insulin resistance (HOMA-IR).ResultsMultivariable-adjusted ORs of diabetes across quartiles of HOMA-%β and HOMA-IR were 1.00, 1.46, 2.15, and 6.25 (ptrend <0.001), and 1.00, 2.11, 5.59, and 9.36 (ptrend <0.001), respectively. Women with IR only had the same diabetes risk as women with β-cell dysfunction only. Obesity, together with IR or β-cell dysfunction, had a stronger effect on diabetes risk. This stronger effect was also found for a history of GDM with IR or β-cell dysfunction. Women with three risk factors, including obesity, a history of GDM and β-cell dysfunction/IR, showed the highest ORs of diabetes.Conclusionsβ-cell dysfunction or IR was significantly associated with postpartum diabetes. IR and β-cell dysfunction, together with obesity and a history of GDM, had the highest ORs of postpartum diabetes risk.

scholarly journals Significance and role of homeostatic model assessment in the evaluation of glucose regulation mechanisms

2017 ◽  
Vol 70 (5-6) ◽  
pp. 155-161
Author(s):  
Stanislava Nikolic ◽  
Nikola Curic ◽  
Romana Mijovic ◽  
Branislava Ilincic ◽  
Damir Benc
Keyword(s):  
Insulin Resistance ◽  
Insulin Sensitivity ◽  
Glucose Tolerance Test ◽  
Tolerance Test ◽  
Glucose Regulation ◽  
Oral Glucose ◽  
Model Assessment ◽  
Oral Glucose Tolerance ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

Introduction. Mathematical formulas, such as homeostatic model assessment indexes, proved to be useful for the estimation of insulin resistance. Nevertheless, numerous published results point to a considerable variability of their reference values. The aim of this study was to use homeostatic model assessment indexes and evaluate levels of insulin resistance in nondiabetic patients. Material and Methods. The study included 486 individuals (mean age 36.84 ? 12.86; 17% of males and 83% of females). Blood sampling was performed in order to determine glucose and insulin plasma levels, at the 0th and 120th minute of the oral glucose tolerance test. The indexes were calculated by the use of homeostatic model assessment 2 calculator, homeostatic model assessment of insulin resistance, homeostatic model assessment of insulin sensitivity, and homeostatic model assessment of ?-cells function. The results were statistically analyzed using a Data Analysis programme. Results. In the examined population, the average glycemic values of the oral glucose tolerance test were within the euglycemic scope (Gluc 0 = 4.76 ? 0.45 mmol/L; Gluc 120 = 5.24 ? 1.17 mmol/L), while the average values of calculated homeostatic model assessment indexes were: insulin resistance - 1.41 ? 0.82; ?-cells function - 131.54 ? 49.41%, and insulin sensitivity - 91.94 ? 47.32%. According to study cut-off values, homeostatic model assessment of insulin resistance was less than 2. We found 84 (17.28%) individuals with increased insulin resistance. Also, we set the lowest reference value for homeostatic model assessment of insulin sensitivity at less than 50%. With the probability of 66.67% (x? ? 1SD), basal insulin level under 11.9 mIU/L can be considered to correspond to physiologic level of insulin resistance. Conclusion. The follow-up of increased insulin resistance and altered secretion of pancreatic ?-cells, at early stages of glucose regulation disturbances, may be useful in assessing dynamics and level of glucose regulation disturbances and their appropriate treatment. <br><br><font color="red"><b> This article has been corrected. Link to the correction <u><a href="http://dx.doi.org/10.2298/MPNS1708202E">10.2298/MPNS1708202E</a><u></b></font>

scholarly journals Metabolomics Identifies Distinctive Metabolite Signatures for Measures of Glucose Homeostasis: The Insulin Resistance Atherosclerosis Family Study (IRAS-FS)

2018 ◽  
Vol 103 (5) ◽  
pp. 1877-1888 ◽  
Author(s):  
Nicholette D Palmer ◽  
Hayrettin Okut ◽  
Fang-Chi Hsu ◽  
Maggie C Y Ng ◽  
Yii-Der Ida Chen ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Fatty Acids ◽  
Insulin Sensitivity ◽  
Glucose Homeostasis ◽  
Cell Function ◽  
Insulin Response ◽  
Model Assessment ◽  
Homeostatic Model Assessment ◽  
Β Cell Function ◽  
Homeostatic Model

Abstract Context Metabolomics provides a biochemical fingerprint that, when coupled with clinical phenotypes, can provide insight into physiological processes. Objective Survey metabolites associated with dynamic and basal measures of glucose homeostasis. Design Analysis of 733 plasma metabolites from the Insulin Resistance Atherosclerosis Family Study. Setting Community based. Participants One thousand one hundred eleven Mexican Americans. Main Outcome Dynamic measures were obtained from the frequently sampled intravenous glucose tolerance test and included insulin sensitivity and acute insulin response to glucose. Basal measures included homeostatic model assessment of insulin resistance and β-cell function. Results Insulin sensitivity was associated with 99 metabolites (P &lt; 6.82 × 10−5) explaining 28% of the variance (R2adj) beyond 28% by body mass index. Beyond branched chain amino acids (BCAAs; P = 1.85 × 10−18 to 1.70 × 10−5, R2adj = 8.1%) and phospholipids (P = 3.51 × 10−17 to 3.00 × 10−5, R2adj = 14%), novel signatures of long-chain fatty acids (LCFAs; P = 4.49 × 10−23 to 4.14 × 10−7, R2adj = 11%) were observed. Conditional analysis suggested that BCAA and LCFA signatures were independent. LCFAs were not associated with homeostatic model assessment of insulin resistance (P &gt; 0.024). Acute insulin response to glucose was associated with six metabolites; glucose had the strongest association (P = 5.68 × 10−16). Homeostatic model assessment of β-cell function had significant signatures from the urea cycle (P = 9.64 × 10−14 to 7.27 × 10−6, R2adj = 11%). Novel associations of polyunsaturated fatty acids (P = 2.58 × 10−13 to 6.70 × 10−5, R2adj = 10%) and LCFAs (P = 9.06 × 10−15 to 3.93 × 10−7, R2adj = 10%) were observed with glucose effectiveness. Assessment of the hyperbolic relationship between insulin sensitivity and secretion through the disposition index revealed a distinctive signature of polyunsaturated fatty acids (P = 1.55 × 10−12 to 5.81 × 10−6; R2adj = 3.8%) beyond that of its component measures. Conclusions Metabolomics reveals distinct signatures that differentiate dynamic and basal measures of glucose homeostasis and further identifies new metabolite classes associated with dynamic measures, providing expanded insight into the metabolic basis of insulin resistance.

scholarly journals IMPORTANCE OF FASTING INSULIN LEVELS IN INSULIN RESISTANCE AND DIABETES MELLITUS (HOMEOSTATIC MODEL ASSESSMENT)

2016 ◽  
Vol 5 (90) ◽  
pp. 6685-6688
Author(s):  
Irfan Ahamed H B ◽  
Aniruddha Udupa K ◽  
Mohammed Ismail ◽  
Syed Aman Jagirdar ◽  
Naveen Sagar H M
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Insulin Levels ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

scholarly journals The Usefulness of Diagnostic Panels Based on Circulating Adipocytokines/Regulatory Peptides, Renal Function Tests, Insulin Resistance Indicators and Lipid-Carbohydrate Metabolism Parameters in Diagnosis and Prognosis of Type 2 Diabetes Mellitus with Obesity

Biomolecules ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1304
Author(s):  
Katarzyna Komosinska-Vassev ◽  
Olga Gala ◽  
Krystyna Olczyk ◽  
Agnieszka Jura-Półtorak ◽  
Paweł Olczyk
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Regulatory Peptides ◽  
Diabetic Patients ◽  
Model Assessment ◽  
Metformin Treatment ◽  
Obese Patients ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

The quantitative analysis of selected regulatory molecules, i.e., adropin, irisin, and vaspin in the plasma of obese patients with newly diagnosed, untreated type 2 diabetes mellitus, and in the same patients after six months of using metformin, in relation to adropinemia, irisinemia and vaspinemia in obese individuals, was performed. The relationship between plasma concentration of the adipocytokines/regulatory peptides and parameters of renal function (albumin/creatinine ratio—ACR, estimated glomerular filtration rate—eGFR), values of insulin resistance indicators (Homeostatic Model Assessment of Insulin Resistance (HOMA-IR2), Homeostatic Model Assessment of Insulin Sensitivity (HOMA-S), Homeostatic Model Assessment of β-cell function (HOMA-B), quantitative insulin sensitivity check index (QUICKI), insulin), and parameters of carbohydrate-lipid metabolism (fasting plasma glucose—FPG, glycated hemoglobin—HbA1C, estimated glucose disposal rate—eGDR, fasting lipid profile, TG/HDL ratio) in obese type 2 diabetic patients was also investigated. Circulating irisin and vaspin were found significantly different in subjects with metabolically healthy obesity and in type 2 diabetic patients. Significant increases in blood levels of both analyzed adipokines/regulatory peptides were observed in diabetic patients after six months of metformin treatment, as compared to pre-treatment levels. The change in plasma vaspin level in response to metformin therapy was parallel with the improving of insulin resistance/sensitivity parameters. An attempt was made to identify a set of biochemical tests that would vary greatly in obese non-diabetic subjects and obese patients with type 2 diabetes, as well as a set of parameters that are changing in patients with type 2 diabetes under the influence of six months metformin therapy, and thus differentiating patients′ metabolic state before and after treatment. For these data analyses, both statistical measures of strength of the relationships of individual parameters, as well as multidimensional methods, including discriminant analysis and multifactorial analysis derived from machine learning methods, were used. Adropin, irisin, and vaspin were found as promising regulatory molecules, which may turn out to be useful indicators in the early detection of T2DM and differentiating the obesity phenotype with normal metabolic profile from T2DM obese patients. Multifactorial discriminant analysis revealed that irisin and vaspin plasma levels contribute clinically relevant information concerning the effectiveness of metformin treatment in T2D patients. Among the sets of variables differentiating with the highest accuracy the metabolic state of patients before and after six-month metformin treatment, were: (1) vaspin, HbA1c, HDL, LDL, TG, insulin, and HOMA-B (ACC = 88 [%]); (2) vaspin, irisin, QUICKI, and eGDR (ACC = 86 [%]); as well as, (3) vaspin, irisin, LDL, HOMA-S, ACR, and eGFR (ACC = 86 [%]).

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