Clustering of insulin resistance, total and central abdominal fat: same genes or same environment?

Twin Research ◽  
1999 ◽  
Vol 2 (3) ◽  
pp. 218-225 ◽  
Author(s):  
Katherine Samaras ◽  
Tuan V Nguyen ◽  
Arthur B Jenkins ◽  
John A Eisman ◽  
Gabrielle M Howard ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Insulin Secretion ◽  
Environmental Factors ◽  
Genetic Factors ◽  
Intraclass Correlation ◽  
Model Fitting ◽  
Genetic Influences ◽  
Model Assessment ◽  
Central Fat ◽  
Total Fat

AbstractObesity, insulin resistance and disturbed glucose metabolism cluster within the Insulin Resistance Syndrome (IRS). Whether this reflects shared genetic or environmental factors detectable in ‘normal’ populations (not selected for IRS features) is unknown. This study estimated (i) genetic influences on IRS traits and (ii) shared and specific genetic and environmental factors on the relationships between these traits in healthy female twins. Fasting insulin, glucose, total and central fat were measured in 59 monozygotic (MZ) and 51 dizygotic (DZ) female twin pairs aged ( ± SD) 52 ± 13 years. Body fat was measured by dual-energy X-ray absorptiometry, insulin resistance and secretion by a modified homeostasis model assessment. Using intraclass correlation coefficients and univariate model-fitting analyses, genetic influences were found in total fat, central fat, insulin resistance, fasting glucose and insulin secretion, with genetic factors explaining 64, 57, 59, 75 and 68% of their variance, respectively, using the latter technique. In matched analysis intra-pair differences in total and central fat related to intra-pair differences in insulin resistance (r2 = 0.19, P < 0.001). Multivariate model-fitting showed a close genetic relationship between total and central fat (r = 0.88). The genetic correlation between IR and central fat (0.41) was significantly greater than that for total fat (0.24), suggesting that central fat is not only a predictor of, but shares considerable genetic influence with, insulin resistance. In Cholesky analysis, these genetic influences were separate from those shared between central and total fat. In conclusion, both shared and specific genetic factors regulate components of the IRS in healthy females. However, there were discrete genetic influences on -cell insulin secretion, not shared with other IRS components, suggesting that a separate genetic propensity exists for Type2 diabetes. These findings suggest we may understand the genetic and environmental influences on IRS from the study of the normal population.

scholarly journals Independent Genetic Factors Determine the Amount and Distribution of Fat in Women after the Menopause1

1997 ◽  
Vol 82 (3) ◽  
pp. 781-785
Author(s):  
K. Samaras ◽  
T. D. Spector ◽  
T. V. Nguyen ◽  
K. Baan ◽  
L. V. Campbell ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Body Fat ◽  
Genetic Factors ◽  
Central Body ◽  
Strong Predictor ◽  
Model Fitting ◽  
Genetic Influence ◽  
Central Adiposity ◽  
Central Fat ◽  
Total Fat

Abstract Central adiposity is a strong predictor of cardiovascular disease in women. We studied postmenopausal twins to explore the strength and the relationship between genetic influences on body fat and its distribution in a group where cardiovascular disease is the major cause of mortality. Healthy twin women were recruited from a national media campaign. One hundred nineteen monozygotic (MZ) and 97 dizygotic twin pairs were studied (mean ± se age 60 ± 0.3 yr, 10 ± 0.4 yr post menopausal). Total and central body fat were measured by dual-energy x-ray absorptiometry. Intrapair resemblance was significantly greater in MZ pairs for total fat (MZ vs. dizygotic, r = 0.70 ± 0.05 vs. r = 0.46 ± 0.08, P = 0.005) and central fat (r = 0.62 ± 0.06 vs. r = 0.35 ± 0.09, P = 0.005), suggesting a strong genetic influence on these traits. Model-fitting analysis indicated that genetic factors contribute up to 60% of total population variance in both total and central body fat. The heritability of central fat remained, after adjustment for the heritability of total fat, suggesting an independent genetic influence on fat distribution. These results were unchanged after adjusting for the effects of estrogen replacement and smoking. In conclusion, total adiposity and central abdominal fat mass in normal postmenopausal women are under strong genetic influence. The data suggest that some of the genes responsible for central adiposity and its metabolic sequelae will be different from those responsible for total adiposity.

scholarly journals A Genetic Analysis of Coffee Consumption in a Sample of Dutch Twins

2009 ◽  
Vol 12 (2) ◽  
pp. 127-131 ◽  
Author(s):  
Jaqueline M. Vink ◽  
Annemieke S. Staphorsius ◽  
Dorret I. Boomsma
Keyword(s):  
Environmental Factors ◽  
Genetic Factors ◽  
Model Fitting ◽  
Coffee Consumption ◽  
Genetic Influences ◽  
Psychoactive Substance ◽  
Twin Registry ◽  
Genetic And Environmental Factors ◽  
Dutch Twins ◽  
Twin Resemblance

AbstractCaffeine is by far the most commonly used psychoactive substance. Caffeine is consumed regularly as an ingredient of coffee. Coffee consumption and coffee preference was explored in a sample of 4,495 twins (including 1,231 pairs) registered with the Netherlands Twin Registry. Twin resemblance was assessed by tetrachoric correlations and the influence of both genetic and environmental factors was explored with model fitting analysis in MX. Results showed moderate genetic influences (39%) on coffee consumption. The remaining variance was explained by shared environmental factors (21%) and unique environmental factors (40%). The variance in coffee preference (defined as the proportion of coffee consumption relative to the consumption of coffee and tea in total) was explained by genetic factors (62%) and unique environmental factors (38%).

scholarly journals A Reevaluation of the 1990 “Minnesota Study of Twins Reared Apart” IQ Study

2022 ◽  
Author(s):  
Jay Joseph
Keyword(s):  
Cognitive Ability ◽  
Genetic Factors ◽  
Model Fitting ◽  
Monozygotic Twin ◽  
Cohort Effects ◽  
Genetic Influences ◽  
Control Group ◽  
Dizygotic Twin ◽  
Full Sample ◽  
Iq Scores

In 1990, Thomas J. Bouchard, Jr. and colleagues published the widely cited 1990 “Minnesota Study of Twins Reared Apart” (MISTRA) Science IQ study. To arrive at the conclusion that “IQ is strongly affected by genetic factors,” Bouchard and colleagues omitted their control group reared-apart dizygotic twin (“DZA”) IQ-score correlations. Near-full-sample correlations published after the study’s 2000 endpoint show that the reared-apart monozygotic twin (“MZA”) and DZA group IQ correlations did not differ at a statistically significant level, suggesting that the study failed the first step in determining that IQ scores are influenced by heredity. After bypassing the model-fitting technique they used in most non-IQ MISTRA studies, the researchers assumed that the MZA group IQ-score correlation alone “directly estimates heritability.” This method was based on unsupported assumptions by the researchers, and they largely overlooked the confounding influence of cohort effects. Bouchard and colleagues then decided to count most environmental influences they did recognize as genetic influences. I conclude that the MISTRA IQ study failed to discover genetic influences on IQ scores and cognitive ability across the studied population, and that the study should be evaluated in the context of psychology’s replication problem.

scholarly journals Fasting Blood Glucose Predicts Incidence of Hypertension Independent of HbA1c Levels and Insulin Resistance in Middle-Aged Japanese: The Saku Study

2019 ◽  
Vol 32 (12) ◽  
pp. 1178-1185 ◽  
Author(s):  
Yukako Tatsumi ◽  
Akiko Morimoto ◽  
Kei Asayama ◽  
Nao Sonoda ◽  
Naomi Miyamatsu ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Blood Pressure ◽  
Insulin Secretion ◽  
Blood Glucose ◽  
Fasting Blood Glucose ◽  
Model Assessment ◽  
Middle Aged ◽  
Impaired Insulin Secretion ◽  
Impaired Insulin ◽  
Hba1c Levels

Abstract BACKGROUND Relationships between blood glucose (BG) levels and insulin action, and incidence of hypertension have not been well known epidemiologically. This study aimed to investigate the association between indices of diabetes and the incidence of hypertension and compare the predictive powers of these indices in middle-aged Japanese. METHODS This 5-year cohort study included 2,210 Japanese aged 30–64 years without hypertension. Hazard ratios of high fasting blood glucose (FBG) levels, high post-loaded BG levels, high glycated hemoglobin (HbA1c) levels, insulin resistance (defined by homeostasis model assessment of insulin resistance [HOMA-IR]) and impaired insulin secretion at baseline for the incidence of hypertension were estimated using multivariable-adjusted Cox proportional hazard models. Hypertension was defined as blood pressure ≥ 140/90 mm Hg or receiving antihypertensive treatment. RESULTS During the follow-up, 456 participants developed hypertension. After adjustment for HbA1c and HOMA-IR, FBG was independently and significantly associated with hypertension. The hazard ratio of participants with FBG ≥ 7.0 mmol/l was 1.79 compared with those with FBG < 5.6 mmol/l. Even among those with HbA1c < 6.5%, HOMA-IR < 2.5, body mass index < 25 kg/m2, age < 55 years old, blood pressure < 130/80 mm Hg or non- and moderate drinking, the results were similar. High 120-minute BG level and impaired insulin secretion did not increase the risk for hypertension. CONCLUSIONS FBG was a predictable index for future incidence of hypertension in middle-aged Japanese men and women. This is the first study comparing predictive powers of indices of diabetes for the incidence of hypertension.

scholarly journals Decreased Plasma Maresin 1 Concentration Is Associated with Diabetic Foot Ulcer

2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Tian Miao ◽  
Bangliang Huang ◽  
Niexia He ◽  
Lihua Sun ◽  
Guangsheng Du ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Insulin Secretion ◽  
Diabetic Foot ◽  
Foot Ulcer ◽  
Diabetic Foot Ulcer ◽  
Model Assessment ◽  
Homeostasis Model Assessment

Aims. To assess the maresin 1 (MaR1) contents in type 2 diabetic patients with or without diabetic foot ulcer and to analyze the association of MaR1 concentrations with several metabolism-related parameters. Methods. Plasma MaR1 concentrations were analyzed in 96 subjects with normal glucose tolerant (NC, n=43), type 2 diabetes (T2DM, n=40), or diabetic foot ulcer (DFU, n=13). The intravenous glucose tolerance test (IVGTT) and biochemical parameters were measured in all participants. Results. Plasma MaR1 concentrations were significant decreased in type 2 diabetes patient with or without DFU compared with NC (both P<0.001) and were lowest in DFU patients among these 3 groups. (DFU vs. T2DM, P<0.05). Plasma MaR1 concentrations were negatively correlated with BMI, waist circumference (Wc), waist hip ratio (WHR), systolic blood pressure (SBP), diastolic blood pressure (DBP), LDL-c, FPG, 2hPG, HbA1c, and homeostasis model assessment for insulin resistance (HOMA-IR) (all P<0.05) and were positively correlated with HDL-c, acute insulin response (AIR), area under the curve of the first-phase (0-10 min) insulin secretion (AUC), and homeostasis model assessment for beta-cell function (HOMA-β) (all P<0.05). After adjusting for age and sex, Wc, WHR, TG, FPG, 2hPG, HbA1c, HOMA-IR, AIR, AUC, and HOMA-β remain statistically significant (all P<0.05). Conclusions. Plasma MaR1 concentration were decreased in T2DM with or without DFUs and were the lowest in DFU patients. The decreased plasma MaR1 strongly associated with obesity, impaired glucose and lipid metabolism, reduced first-phase of glucose-stimulated insulin secretion, and enhanced insulin resistance.

scholarly journals Estimates of Insulin Secretory Function in Apparently Healthy Volunteers Vary as a Function of How the Relevant Variables Are Quantified

2011 ◽  
Vol 57 (4) ◽  
pp. 627-632 ◽  
Author(s):  
Barry R Johns ◽  
Fahim Abbasi ◽  
Gerald M Reaven
Keyword(s):  
Insulin Resistance ◽  
Insulin Secretion ◽  
Plasma Glucose ◽  
Insulin Action ◽  
Cell Function ◽  
Model Assessment ◽  
Pancreatic Β Cell ◽  
Homeostasis Model Assessment ◽  
Β Cell ◽  
Β Cell Function

BACKGROUND Several surrogate estimates have been used to define relationships between insulin action and pancreatic β-cell function in healthy individuals. Because it is unclear how conclusions about insulin secretory function depend on specific estimates used, we evaluated the effect of different approaches to measurement of insulin action and secretion on observations of pancreatic β-cell function in individuals whose fasting plasma glucose (FPG) was &lt;7.0 mmol/L (126 mg/dL). METHODS We determined 2 indices of insulin secretion [homeostasis model assessment of β-cell function (HOMA-β) and daylong insulin response to mixed meals], insulin action [homeostasis model assessment of insulin resistance (HOMA-IR) and steady-state plasma glucose (SSPG) concentration during the insulin suppression test], and degree of glycemia [fasting plasma glucose (FPG) and daylong glucose response to mixed meals] in 285 individuals with FPG &lt;7.0 mmol/L. We compared the relationship between the 2 measures of insulin secretion as a function of the measures of insulin action and degree of glycemia. RESULTS Assessment of insulin secretion varied dramatically as a function of which of the 2 methods was used and which measure of insulin resistance or glycemia served as the independent variable. For example, the correlation between insulin secretion (HOMA-β) and insulin resistance varied from an r value of 0.74 (when HOMA-IR was used) to 0.22 (when SSPG concentration was used). CONCLUSIONS Conclusions about β-cell function in nondiabetic individuals depend on the measurements used to assess insulin action and insulin secretion. Viewing estimates of insulin secretion in relationship to measures of insulin resistance and/or degree of glycemia does not mean that an unequivocal measure of pancreatic β-cell function has been obtained.

scholarly journals Improved indices of insulin resistance and insulin secretion for use in genetic and population studies of type2 diabetes mellitus

Twin Research ◽  
2000 ◽  
Vol 3 (3) ◽  
pp. 148-151 ◽  
Author(s):  
Arthur B Jenkins ◽  
Katherine Samaras ◽  
David GP Carey ◽  
Paul Kelly ◽  
Lesley V Campbell
Keyword(s):  
Insulin Resistance ◽  
Insulin Secretion ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Statistical Modelling ◽  
Model Assessment ◽  
Fasting Plasma ◽  
Significant Heritability ◽  
A Minor ◽  
Direct Measures

AbstractHomeostasis model assessment (HOMA) provides indices of insulin secretion (β) and insulin resistance (R) derived from fasting plasma glucose (FPG) and fasting plasma insulin (FPI) levels. However, these indices could not account for a significant heritability of fasting plasma glucose (FPG) (h2 = 0.75, P < 0.01) in a group of 214 female twins. This result is consistent with a misclassification between effects due to insulin secretion and resistance in the HOMA indices. We report here evidence of such misclassification in the HOMA indices and describe a minor modification to the model which corrects it. Direct measures of insulin resistance (euglycaemic clamp) and secretion (i.v. glucose bolus) were obtained in 43 non-diabetic subjects. Heritability was estimated by statistical modelling of genetic and environmental influences in data from 214 non-diabetic female subjects. Modified HOMA (HOMA′) indices were obtained from β′ = (Ln(FPI)–c)/FPG and R′ = (Ln(FPI)–c)* FPG where c is a constant derived from regression analysis of Ln(FPI) vs FPG. Indices from both models correlated with the direct measures similarly (r = 0.63 (R), 0.49 (R′), 0.45 (β), 0.39 (β′), all P < 0.01). Directly measured insulin resistance and secretion were not significantly correlated (r = 0.13, P = 0.21). However, unmodified HOMA- and R were strongly related (r = 0.78, P < 0.0001 vs 0.13) demonstrating substantial misclassification. The relationship between β′ and R′ (r = 0.13) was not different from that between the two direct measures and significant heritability of β′ (h2 = 0.68, P < 0.01) and R′ (h2 = 0.59, P < 0.05) was evident in the twin data. The proposed modification to HOMA significantly reduces misclassification and reveals separate components of insulin resistance and insulin secretion in the heritability of FPG. Twin Research (2000) 3, 148–151.

scholarly journals Sustained Decrease of Early-Phase Insulin Secretion in Japanese Women with Gestational Diabetes Mellitus who Developed Impaired Glucose Tolerance and Impaired Fasting Glucose Postpartum

2015 ◽  
Vol 6 ◽  
pp. JCM.S32743 ◽  
Author(s):  
Hiroko Katayama ◽  
Daisuke Tachibana ◽  
Akihiro Hamuro ◽  
Takuya Misugi ◽  
Koka Motoyama ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Insulin Secretion ◽  
Glucose Tolerance ◽  
Plasma Glucose Level ◽  
Fasting Glucose ◽  
Japanese Women ◽  
Insulinogenic Index ◽  
Model Assessment ◽  
Homeostasis Model Assessment

Objective The aim of this study was to compare glucose intolerance in the antenatal and the postpartum periods using a 75-g oral glucose tolerance test (OGTT) in the Japanese women with gestational diabetes mellitus (GDM) using a retrospective design. Patients and Methods Data were obtained from 85 Japanese women with GDM who delivered from April 2011 through April 2015 and who underwent an OGTT 6–14 weeks postpartum. The women were divided into two groups based on the results of the postpartum OGTT: one group with normal glucose tolerance (NGT) and the other with impaired glucose tolerance (IGT) as well as impaired fasting glucose (IFG). We analyzed the associations between postpartum IGT–IFG and various factors. Results Antenatally, a significant difference was observed between the groups only in the 1-hour plasma glucose level of the 75-g OGTT. Postpartum results of plasma glucose level were significantly higher at 0.5, 1, and 2 hours in the IGT–IFG group than those in the NGT group. Moreover, a significant decrease in the levels of 0.5-hour immunoreactive insulin and insulinogenic index was observed in the IGT–IFG group compared to those in the NGT group. Homeostasis model assessment-insulin resistance and homeostasis model assessment β-cell function of both groups were found to significantly decrease in the postpartum period; however, there was no significant change in the insulinogenic index of either group. Conclusions Our study clearly showed that the postpartum IGT and IFG levels of Japanese women with GDM are affected by impaired early-phase insulin secretion; however, insulin resistance promptly improves.

scholarly journals Plasma Asprosin Concentrations Are Increased in Individuals with Glucose Dysregulation and Correlated with Insulin Resistance and First-Phase Insulin Secretion

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Yuren Wang ◽  
Hua Qu ◽  
Xin Xiong ◽  
Yuyang Qiu ◽  
Yong Liao ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Insulin Secretion ◽  
Plasma Glucose ◽  
Cell Function ◽  
Insulin Response ◽  
Glucose Regulation ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Intravenous Glucose ◽  
Glucose Dysregulation

Background. Adipokines are reported to participate in many common pathologic processes of glucose dysregulation, such as insulin resistance, β-cell dysfunction, and chronic inflammation. Objective. To detect the concentrations of plasma asprosin in subjects with impaired glucose regulation (IGR) and newly diagnosed type 2 diabetes (nT2DM) and its relationship to parameters of glucose and lipid metabolism, insulin resistance, and pancreatic β-cell function. Methods. 143 eligible participants were included and were divided into three groups including normal glucose regulation (NGR, n=52), IGR (n=40), and nT2DM group (n=51). The intravenous glucose tolerance test (IVGTT) and clinical and biochemical parameters were measured in all participants. Results. Plasma asprosin levels were higher in IGR (82.40 ± 91.06 ng/mL, P<0.001) and nT2DM (73.25 ± 91.69 ng/mL, P<0.001) groups compared with those in the NGR (16.22 ± 9.27 ng/mL) group, especially in IGR subjects. Correlation analysis showed that plasma asprosin levels were positively correlated with waist circumference (Wc), fasting plasma glucose (FPG), postchallenge plasma glucose (2hPG), HbA1c, triglyceride (TG), and homeostasis model assessment for insulin resistance (HOMA-IR) and negatively correlated with homeostasis model assessment for β-cell function (HOMA-β), area under the curve of the first-phase (0–10 min) insulin secretion (AUC), acute insulin response (AIR), and glucose disposition index (GDI) (all P<0.05). Multiple logistical regression analyses revealed that plasma asprosin concentrations were significantly correlated with IGR and nT2DM after controlling for age, sex, BMI, and WHR. Conclusions. Circulating asprosin might be a predictor of early diagnosis in DM and might be a potential therapeutic target for prediabetes and T2DM.

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