scholarly journals Insulin Sensitivity Is Associated with Lipoprotein Lipase (LPL) and Catenin Delta 2 (CTNND2) DNA Methylation in Peripheral White Blood Cells in Non-Diabetic Young Women

2019 ◽  
Vol 20 (12) ◽  
pp. 2928 ◽  
Author(s):  
Ana Arpón ◽  
José L. Santos ◽  
Fermín I. Milagro ◽  
Luis Rodrigo Cataldo ◽  
Carolina Bravo ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Insulin Secretion ◽  
Insulin Sensitivity ◽  
Lipoprotein Lipase ◽  
Blood Cells ◽  
White Blood Cells ◽  
Sensitivity Index ◽  
Insulin Sensitivity Index ◽  
Intravenous Glucose ◽  
Peripheral White Blood Cells

Hyperglycaemia and type 2 diabetes (T2D) are associated with impaired insulin secretion and/or insulin action. Since few studies have addressed the relation between DNA methylation patterns with elaborated surrogates of insulin secretion/sensitivity based on the intravenous glucose tolerance test (IVGTT), the aim of this study was to evaluate the association between DNA methylation and an insulin sensitivity index based on IVGTT (calculated insulin sensitivity index (CSi)) in peripheral white blood cells from 57 non-diabetic female volunteers. The CSi and acute insulin response (AIR) indexes, as well as the disposition index (DI = CSi × AIR), were estimated from abbreviated IVGTT in 49 apparently healthy Chilean women. Methylation levels were assessed using the Illumina Infinium Human Methylation 450k BeadChip. After a statistical probe filtering, the two top CpGs whose methylation was associated with CSi were cg04615668 and cg07263235, located in the catenin delta 2 (CTNND2) and lipoprotein lipase (LPL) genes, respectively. Both CpGs conjointly predicted insulin sensitivity status with an area under the curve of 0.90. Additionally, cg04615668 correlated with homeostasis model assessment insulin-sensitivity (HOMA-S) and AIR, whereas cg07263235 was associated with plasma creatinine and DI. These results add further insights into the epigenetic regulation of insulin sensitivity and associated complications, pointing the CTNND2 and LPL genes as potential underlying epigenetic biomarkers for future risk of insulin-related diseases.

scholarly journals Influence of Tacrolimus on Glucose Metabolism before and after Renal Transplantation: A Prospective Study

2001 ◽  
Vol 12 (3) ◽  
pp. 583-588 ◽  
Author(s):  
ELLY M. VAN DUIJNHOVEN ◽  
JOHANNES M. M. BOOTS ◽  
MAARTEN H. L. CHRISTIAANS ◽  
BRUCE H. R. WOLFFENBUTTEL ◽  
JOHANNES P. VAN HOOFF
Keyword(s):  
Insulin Resistance ◽  
Insulin Secretion ◽  
Insulin Sensitivity ◽  
Glucose Metabolism ◽  
Sensitivity Index ◽  
Intravenous Glucose ◽  
Prospective Longitudinal Study ◽  
C Peptide ◽  
Before And After ◽  
Prospective Longitudinal

Abstract. Most studies concerning the influence of tacrolimus on glucose metabolism have been performed either in animals or after organ transplantation. These clinical studies have largely been transversal with patients who were using steroids. Therefore, this prospective, longitudinal study investigated the influence of tacrolimus on glucose metabolism before and after transplantation. Eighteen Caucasian dialysis patients underwent an intravenous glucose tolerance test before and 5 d after the start of tacrolimus. Insulin sensitivity index (kG), insulin resistance (insulin/glucose ratio and homeostasis model assessment), and C-peptide and insulin secretion were calculated. Trough levels of tacrolimus were measured. After transplantation, the occurrence of posttransplantation diabetes mellitus (PTDM) was prospectively monitored. Statistical analysis was performed using the Wilcoxon signed ranks test and Spearman's rho for correlation. Before tacrolimus, kG was indeterminate in three patients. During tacrolimus, kG decreased in 16 of 18 patients, from a median of 1.74 mmol/L per min to 1.08 mmol/L per min (P < 0.0001). The correlation between C-peptide and insulin data was excellent. Insulin secretion decreased from 851.0 mU × min/L to 558.0 mU × min/L (P = 0.014), whereas insulin resistance did not change. Insulin sensitivity correlated negatively with tacrolimus trough level. After transplantation, three patients developed PTDM; before tacrolimus, two had an indeterminate and one a low normal kG. During tacrolimus administration, kG decreased in almost all patients as a result of a diminished insulin secretion response to a glucose load, whereas insulin resistance did not change. Patients with an abnormal or indeterminate kG seem to be at risk of developing PTDM while on tacrolimus.

scholarly journals PACAP stimulates insulin secretion but inhibits insulin sensitivity in mice

1998 ◽  
Vol 274 (5) ◽  
pp. E834-E842 ◽  
Author(s):  
Karin Filipsson ◽  
Giovanni Pacini ◽  
Anton J. W. Scheurink ◽  
Bo Ahrén
Keyword(s):  
Insulin Secretion ◽  
Insulin Sensitivity ◽  
Elimination Rate ◽  
Insulin Response ◽  
Area Under The Curve ◽  
Glucose Disposal ◽  
Sensitivity Index ◽  
Maximal Effect ◽  
Intravenous Glucose

Although pituitary adenylate cyclase-activating polypeptide (PACAP) stimulates insulin secretion, its net influence on glucose homeostasis in vivo has not been established. We therefore examined the action of PACAP-27 and PACAP-38 on insulin secretion, insulin sensitivity, and glucose disposal as derived from the minimal model of glucose disappearance during an intravenous glucose tolerance test in anesthetized mice. PACAP-27 and PACAP-38 markedly and equipotently potentiated glucose-stimulated insulin secretion, with a half-maximal effect at 33 pmol/kg. After PACAP-27 or PACAP-38 (1.3 nmol/kg), the acute (1–5 min) insulin response was 3.8 ± 0.4 nmol/l (PACAP-27) and 3.3 ± 0.3 nmol/l (PACAP-38), respectively, vs. 1.4 ± 0.1 nmol/l after glucose alone ( P < 0.001), and the total area under the curve for insulin (AUCinsulin) was potentiated by 60% ( P < 0.001). In contrast, PACAP-27 and PACAP-38 reduced the insulin sensitivity index (SI) [0.23 ± 0.04 10−4min−1/(pmol/l) for PACAP-27 and 0.29 ± 0.06 10−4min−1/(pmol/l) for PACAP-38 vs. 0.46 ± 0.02 10−4min−1/(pmol/l) for controls ( P < 0.01)]. Furthermore, PACAP-27 or PACAP-38 did not affect glucose elimination determined as glucose half-time or the glucose elimination rate after glucose injection or the area under the curve for glucose. Moreover, glucose effectiveness and the global disposition index (AUCinsulin times SI) were not affected by PACAP-27 or PACAP-38. Finally, when given together with glucose, PACAP-27 did not alter plasma glucagon or norepinephrine levels but significantly increased plasma epinephrine levels. We conclude that PACAP, besides its marked stimulation of insulin secretion, also inhibits insulin sensitivity in mice, the latter possibly explained by increased epinephrine. This complex action explains why the peptide does not enhance glucose disposal.

scholarly journals Dynamic insulin sensitivity index: importance in diabetes

2010 ◽  
Vol 298 (3) ◽  
pp. E440-E448 ◽  
Author(s):  
Gianluigi Pillonetto ◽  
Andrea Caumo ◽  
Claudio Cobelli
Keyword(s):  
Insulin Sensitivity ◽  
Glucose Tolerance ◽  
Insulin Action ◽  
Glucose Tolerance Test ◽  
Tolerance Test ◽  
Diabetic Patients ◽  
Sensitivity Index ◽  
Insulin Sensitivity Index ◽  
Intravenous Glucose ◽  
Glucose Tolerant

The classical minimal model (MM) index of insulin sensitivity, SI, does not account for how fast or slow insulin action takes place. In a recent work, we proposed a new dynamic insulin sensitivity index, SID, which is able to take into account the dynamics of insulin action as well. The new index is a function of two MM parameters, namely SI and p2, the latter parameter governing the speed of rise and decay of insulin action. We have previously shown that in normal glucose tolerant subjects SID provides a more comprehensive picture of insulin action on glucose metabolism than SI. The aim of this study is to show that resorting to SID rather SI is even more appropriate when studying diabetic patients who have a low and slow insulin action. We analyzed insulin-modified intravenous glucose tolerance test studies performed in 10 diabetic subjects and mixed meal glucose tolerance test studies exploiting the triple tracer technique in 14 diabetic subjects. We derived both SI and SID resorting to Bayesian and Fisherian identification strategies. The results show that SID is estimated more precisely than SI when using the Bayesian approach. In addition, the less labor-intensive Fisherian approach can still be used to obtain reliable point estimates of SID but not of SI. These results suggest that SID yields a comprehensive, precise, and cost-effective assessment of insulin sensitivity in subjects with impaired insulin action like impaired glucose tolerant subjects or diabetic patients.

Acute enhancement of insulin secretion by FFA in humans is lost with prolonged FFA elevation

1999 ◽  
Vol 276 (6) ◽  
pp. E1055-E1066 ◽  
Author(s):  
André Carpentier ◽  
Steven D. Mittelman ◽  
Benoǐt Lamarche ◽  
Richard N. Bergman ◽  
Adria Giacca ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Insulin Secretion ◽  
Insulin Sensitivity ◽  
Cell Function ◽  
Peak Plasma ◽  
Sensitivity Index ◽  
Β Cell ◽  
Intravenous Glucose ◽  
Hyperglycemic Clamp

The in vivo effect of elevated free fatty acids (FFA) on β-cell function in humans remains extremely controversial. We examined, in healthy young men, the acute (90 min) and chronic (48 h) effects of an approximately twofold elevation of plasma FFA vs. control on glucose-stimulated insulin secretion (GSIS). GSIS was studied in response to a graded intravenous glucose infusion (peak plasma glucose, ∼10 mmol/l, n = 8) and a two-step hyperglycemic clamp (10 and 20 mmol/l, n = 8). In the acute studies, GSIS was significantly higher, insulin sensitivity index (SI) was lower, and disposition index (DI = insulin sensitivity × insulin secretion) was unchanged with elevated FFA vs. control [2-step clamp: DI = 8.9 ± 1.4 × 10−3l2 ⋅ kg−1 ⋅ min−2in control vs. 10.0 ± 1.9 × 10−3l2 ⋅ kg−1 ⋅ min−2with high FFA, P = nonsignificant (NS)]. In the chronic studies, there was no difference in absolute GSIS between control and high FFA studies, but there was a reduction in SI and a loss of the expected compensatory increase in insulin secretion as assessed by the DI (2-step clamp: DI = 10.0 ± 1.2 × 10−3l2 ⋅ kg−1 ⋅ min−2in control vs. 6.1 ± 0.7 × 10−3l2 ⋅ kg−1 ⋅ min−2with high FFA, P = 0.01). In summary, 1) acute and chronic FFA elevation induces insulin resistance; 2) with acute FFA elevation, this insulin resistance is precisely countered by an FFA-induced increase in insulin secretion, such that DI does not change; and 3) chronic FFA elevation disables this β-cell compensation.

scholarly journals Origins and History of the Minimal Model of Glucose Regulation

2021 ◽  
Vol 11 ◽  
Author(s):  
Richard N. Bergman
Keyword(s):  
Mathematical Modeling ◽  
Insulin Secretion ◽  
Insulin Sensitivity ◽  
African Americans ◽  
Minimal Model ◽  
Human Populations ◽  
Sensitivity Index ◽  
Intravenous Glucose ◽  
Endogenous Glucose ◽  
Glucose Output

It has long been hoped that our understanding of the pathogenesis of diabetes would be helped by the use of mathematical modeling. In 1979 Richard Bergman and Claudio Cobelli worked together to find a “minimal model” based upon experimental data from Bergman’s laboratory. Model was chosen as the simplest representation based upon physiology known at the time. The model itself is two quasi-linear differential equations; one representing insulin kinetics in plasma, and a second representing the effects of insulin and glucose itself on restoration of the glucose after perturbation by intravenous injection. Model would only be sufficient if it included a delay in insulin action; that is, insulin had to enter a remote compartment, which was interstitial fluid (ISF). Insulin suppressed endogenous glucose output (by liver) slowly. Delay proved to be due to initial suppression of lipolysis; resultant lowering of free fatty acids reduced liver glucose output. Modeling also demanded that normalization of glucose after injection included an effect of glucose itself on glucose disposal and endogenous glucose production – these effects were termed “glucose effectiveness.” Insulin sensitivity was calculated from fitting the model to intravenous glucose tolerance test data; the resulting insulin sensitivity index, SI, was validated with the glucose clamp method in human subjects. Model allowed us to examine the relationship between insulin sensitivity and insulin secretion. Relationship was described by a rectangular hyperbola, such that Insulin Secretion x Insulin Sensitivity = Disposition Index (DI). Latter term represents ability of the pancreatic beta-cells to compensate for insulin resistance due to factors such as obesity, pregnancy, or puberty. DI has a genetic basis, and predicts the onset of Type 2 diabetes. An additional factor was clearance of insulin by the liver. Clearance varies significantly among animal or human populations; using the model, clearance was shown to be lower in African Americans than Whites (adults and children), and may be a factor accounting for greater diabetes prevalence in African Americans. The research outlined in the manuscript emphasizes the powerful approach by which hypothesis testing, experimental studies, and mathematical modeling can work together to explain the pathogenesis of metabolic disease.

scholarly journals Family history of diabetes mellitus determines insulin sensitivity and ß cell function in polycystic ovary syndrome

2008 ◽  
pp. 547-553
Author(s):  
J Vrbíková ◽  
T Grimmichová ◽  
K Dvořáková ◽  
M Hill ◽  
S Stanická ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Secretion ◽  
Insulin Sensitivity ◽  
Family History ◽  
Polycystic Ovary ◽  
Sensitivity Index ◽  
Insulin Sensitivity Index ◽  
Ovary Syndrome ◽  
Family History Of Diabetes ◽  
History Of

Objective: To examine the impact of family history of diabetes mellitus 2 (DM 2) on insulin sensitivity and secretion in lean women with polycystic ovary syndrome (PCOS). Thirteen healthy women (C), 14 PCOS without family history of DM 2 (FH-) and 8 PCOS with family history of DM 2 (FH+) were examined using euglycemic hyperinsulinemic clamp and an arginine secretion test (insulin and glucagon at fasting glycemia (AIRFG and AGRFG) and at hyperglycemia (AIR14 and AGR14)). FH+ women were more insulin resistant than FH- with lower insulin sensitivity index corrected per lean body mass (p<0.05). They had significantly higher triglycerides (p<0.05) and lower HDL-cholesterol (p<0.05) than C or FH- women. Concerning insulin secretion, AIRFG was increased in FH+ women comparing FH- women (p<0.05). Disposition indices derived from AIRFG or AIR14 and insulin sensitivity index did not differ between FH+ or FH-. Thus, women with PCOS with the concomitant family history of DM 2 have lower insulin sensitivity than healthy control women. Insulin resistance observed in these women with PCOS is compensated by increased insulin secretion.

scholarly journals Methylome-Wide Association Study in Peripheral White Blood Cells Focusing on Central Obesity and Inflammation

Genes ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 444 ◽  
Author(s):  
Ana Arpón ◽  
Fermín I. Milagro ◽  
Omar Ramos-Lopez ◽  
Maria L. Mansego ◽  
José-Ignacio Riezu-Boj ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Blood Cells ◽  
White Blood Cells ◽  
Roc Curves ◽  
Methylation Pattern ◽  
Visceral Fat Accumulation ◽  
Epigenetic Methylation ◽  
Peripheral White Blood Cells ◽  
Epigenetic Signatures ◽  
The Relationship

Epigenetic signatures such as DNA methylation may be associated with specific obesity traits in different tissues. The onset and development of some obesity-related complications are often linked to visceral fat accumulation. The aim of this study was to explore DNA methylation levels in peripheral white blood cells to identify epigenetic methylation marks associated with waist circumference (WC). DNA methylation levels were assessed using Infinium Human Methylation 450K and MethylationEPIC beadchip (Illumina) to search for putative associations with WC values of 473 participants from the Methyl Epigenome Network Association (MENA) project. Statistical analysis and Ingenuity Pathway Analysis (IPA) were employed for assessing the relationship between methylation and WC. A total of 669 CpGs were statistically associated with WC (FDR < 0.05, slope ≥ |0.1|). From these CpGs, 375 CpGs evidenced a differential methylation pattern between females with WC ≤ 88 and > 88 cm, and 95 CpGs between males with WC ≤ 102 and > 102 cm. These differentially methylated CpGs are located in genes related to inflammation and obesity according to IPA. Receiver operating characteristic (ROC) curves of the top four significant differentially methylated CpGs separated by sex discriminated individuals with presence or absence of abdominal fat. ROC curves of all the CpGs from females and one CpG from males were validated in an independent sample (n = 161). These methylation results add further insights about the relationships between obesity, adiposity-associated comorbidities, and DNA methylation where inflammation processes may be involved.

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