scholarly journals A Chinese Herbal Decoction, Dang Gui Bu Xue Tang, Prepared from Radix Astragali and RadixAngelicae sinensis, Ameliorates Insulin Resistance Induced by A High-Fructose Diet in Rats

2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
I-Min Liu ◽  
Thing-Fong Tzeng ◽  
Shorong-Shii Liou

Dang Gui Bu Xue Tang (DBT), a Chinese medicinal decoction contains RadixAngelicae sinensis(Danggui) and Radix Astragali (Huangqi) at a ratio of 1 : 5, is used commonly for treating women's ailments. This study was conducted to explore the effects of this preparation on insulin resistance in rats fed with 6-week diet containing 60% fructose. Similar to the action of rosiglitazone (4 mg kg-1per day by an oral administration), repeated oral administration of DBT (2.5 g kg-1per day) for 14 days was found to significantly alleviate the hyperglycemia but made no influence on plasma lipid profiles nor weight gain in fructose chow-fed rats. Also, the higher degree of insulin resistance as measured by homeostasis model assessment of basal insulin resistance in fructose chow-fed rats was significantly decreased by repeated DBT treatment. DBT displays the characteristic of rosiglitazone by increasing the whole-body insulin sensitivity in fructose chow-fed rats after 2-week treatment, as evidenced by the marked elevation of composite whole-body insulin sensitivity index during the oral glucose tolerance test. DBT improves insulin sensitivity through increased post-receptor insulin signaling mediated by enhancements in insulin receptor substrate-1-associated phosphatidylinositol 3-kinase step and glucose transporter subtype 4 translocation in soleus muscles of animals exhibiting insulin resistance. DBT is therefore proposed as potentially useful adjuvant therapy for patients with insulin resistance and/or the patients who wish to increase insulin sensitivity.

Author(s):  
Malgorzata Malczewska-Malec ◽  
Iwona Wybranska ◽  
Iwona Leszczynska-Golabek ◽  
Lukasz Partyka ◽  
Jadwiga Hartwich ◽  
...  

AbstractThis study analyzes the relationship between risk factors related to overweight/obesity, insulin resistance, lipid tolerance, hypertension, endothelial function and genetic polymorphisms associated with: i) appetite regulation (leptin, melanocortin-3-receptor (MCR-3), dopamine receptor 2 (D2R)); ii) adipocyte differentiation and insulin sensitivity (peroxisome proliferator-activated receptor-γThe 122 members of 40 obese Caucasian families from southern Poland participated in the study. The genotypes were analyzed by restriction fragment length polymorphism-polymerase chain reaction (RFLP-PCR) or by direct sequencing. Phenotypes related to obesity (body mass index (BMI), fat/lean body mass composition, waist-to-hip ratio (WHR)), fasting lipids, glucose, leptin and insulin, as well as insulin during oral glucose tolerance test (OGTT) (4 points within 2 hours) and during oral lipid tolerance test (OLTT) (5 points within 8 hours) were assessed. The insulin sensitivity indexes: homeostasis model assessment of insulin resistance, whole body insulin sensitivity index, hepatic insulin sensitivity and early secretory response to an oral glucose load (HOMA-IR, ISI-COMP, ISI-HOMA and DELTA) were calculated.The single gene mutations such as CWe conclude that the polymorphisms we investigated were weakly correlated with obesity but significantly modified the risk factors of the metabolic syndrome.


2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 350-351
Author(s):  
Hector H Salgado ◽  
Aline Remus ◽  
Marie-Pierre Letourneau-Montminy ◽  
Candido Pomar

Abstract Growing pigs’ body composition variation can be associated with differences in insulin sensitivity given the insulin anabolic effect on protein and lipid synthesis. The objective of this study was to elucidate this association by relating the individual insulin response to the oral glucose tolerance test (OGTT) with the body composition of growing pigs. Thirty 95 kg jugular vein catheterized pigs received an oral dose of 1.75 g of glucose/kg of BW after 18 hours of fasting. Blood samples were collected at -20, -10, 5, 10, 15, 20, 25, 30, 45, 60, 90, 120, 150, 180, 210, 240, 300 and 360 min following glucose ingestion. Insulin sensitivity indexes were calculated and analyzed. Body lipids (LB, %) and protein (PB, %) composition were estimated by dual X-ray densitometry. Association between body composition and insulin sensitivity were studied by using partial least squares and correlations. Average LB and PB were 19.7% (CV = 7.6 %) and 16.2% (CV = 2.2%), respectively. Basal insulin blood concentration and area-under-the-curve (AUC) CV (51.9 % and 26.9 %, respectively) were larger than those for basal glucose and AUC (5.52 and 5.48 %, respectively). Additionally, insulin sensitivity (%S), steady-state beta cell function (%B), and insulin resistance (HOMA-IR) estimated with the Homeostasis Model Assessment (HOMA 2) and whole-body insulin sensitivity index (ISI) were highly variable between pigs which CV ranged from 30.1 % to 54.5 %. These results can indicate an early stage of insulin resistance in an important part of the studied pig population. LB and PB were affected by insulin sensitivity indexes (P < 0.05) which accounted, respectively, for 48% and 44% of the observed variation. In conclusion, lower insulin sensitivity was associated with higher body fat in growing pigs raised under similar conditions.


2016 ◽  
Vol 62 (9) ◽  
pp. 1211-1219 ◽  
Author(s):  
Katharina Paulmichl ◽  
Mensud Hatunic ◽  
Kurt Højlund ◽  
Aleksandra Jotic ◽  
Michael Krebs ◽  
...  

Abstract BACKGROUND The triglyceride-to–HDL cholesterol (TG/HDL-C) ratio was introduced as a tool to estimate insulin resistance, because circulating lipid measurements are available in routine settings. Insulin, C-peptide, and free fatty acids are components of other insulin-sensitivity indices but their measurement is expensive. Easier and more affordable tools are of interest for both pediatric and adult patients. METHODS Study participants from the Relationship Between Insulin Sensitivity and Cardiovascular Disease [43.9 (8.3) years, n = 1260] as well as the Beta-Cell Function in Juvenile Diabetes and Obesity study cohorts [15 (1.9) years, n = 29] underwent oral-glucose-tolerance tests and euglycemic clamp tests for estimation of whole-body insulin sensitivity and calculation of insulin sensitivity indices. To refine the TG/HDL ratio, mathematical modeling was applied including body mass index (BMI), fasting TG, and HDL cholesterol and compared to the clamp-derived M-value as an estimate of insulin sensitivity. Each modeling result was scored by identifying insulin resistance and correlation coefficient. The Single Point Insulin Sensitivity Estimator (SPISE) was compared to traditional insulin sensitivity indices using area under the ROC curve (aROC) analysis and χ2 test. RESULTS The novel formula for SPISE was computed as follows: SPISE = 600 × HDL-C0.185/(TG0.2 × BMI1.338), with fasting HDL-C (mg/dL), fasting TG concentrations (mg/dL), and BMI (kg/m2). A cutoff value of 6.61 corresponds to an M-value smaller than 4.7 mg · kg−1 · min−1 (aROC, M:0.797). SPISE showed a significantly better aROC than the TG/HDL-C ratio. SPISE aROC was comparable to the Matsuda ISI (insulin sensitivity index) and equal to the QUICKI (quantitative insulin sensitivity check index) and HOMA-IR (homeostasis model assessment–insulin resistance) when calculated with M-values. CONCLUSIONS The SPISE seems well suited to surrogate whole-body insulin sensitivity from inexpensive fasting single-point blood draw and BMI in white adolescents and adults.


2013 ◽  
Vol 304 (4) ◽  
pp. R313-R320 ◽  
Author(s):  
Fatima L. C. Sardinha ◽  
Flavia S. Fernandes ◽  
Maria G. Tavares do Carmo ◽  
Emilio Herrera

Prenatal and early postnatal nutritional status may predispose offspring to impaired glucose tolerance and changes in insulin sensitivity in adult life. The long-term consequences of changes in maternal dietary fatty acid composition were determined in rats. From day 1 until day 12 of pregnancy, rats were given isocaloric diets containing 9% nonvitamin fat based on soybean, olive, fish (FO), linseed, or palm oil. Thereafter, they were maintained on the standard diet; offspring were studied at different ages. Body weight at 4, 8, and 12 mo and lumbar adipose tissue and liver weights at 12 mo did not differ between females on the different diets, whereas in males the corresponding values were all lower in the offspring from the FO group compared with the other dietary groups. Plasma glucose concentrations (both basal and after an oral glucose load) did not change with sex or dietary group, but plasma insulin concentrations were lower in females than in males and, in males, were lowest in the FO group. Similar relations were found with both the homeostasis model assessment of insulin resistance and insulin sensitivity index. In conclusion, the intake of more n–3 fatty acids (FO diet) during early pregnancy reduced both fat accretion and age-related decline in insulin sensitivity in male offspring but not in females. It is proposed that the lower adiposity caused by the increased n–3 fatty acids during the intrauterine life was responsible of the lower insulin resistance in male offspring.


2015 ◽  
Vol 172 (4) ◽  
pp. 423-432 ◽  
Author(s):  
Christian Herder ◽  
D Margriet Ouwens ◽  
Maren Carstensen ◽  
Bernd Kowall ◽  
Cornelia Huth ◽  
...  

ObjectiveReduced circulating omentin levels have been reported in obesity and type 2 diabetes, but data were mostly derived from univariate analyses in small study samples. This study aimed to investigate the relationship between omentin, abnormal glucose tolerance and related metabolic factors in a large population-based cross-sectional study.Design and methodsSerum omentin was measured by ELISA in 1092 participants of the German KORA F4 survey (2006–2008). Associations between omentin serum levels, glucose tolerance (assessed with an oral glucose tolerance test) and diabetes-related factors were estimated using logistic and linear regression models respectively.ResultsSerum levels of omentin were not related to categories of glucose tolerance. However, serum omentin was positively associated with whole-body insulin sensitivity index (ISI (composite)) and HDL cholesterol and showed inverse associations with 2-h post-load glucose, fasting insulin, homeostasis model assessment-estimated insulin resistance, BMI and triglycerides (all P≤0.03 after adjustment for age, sex and lifestyle factors). Further adjustment for BMI and/or serum lipids attenuated the associations with parameters of glucose metabolism, whereas adjustment for serum adiponectin virtually abolished all aforementioned associations. In contrast, adjustment for omentin had no effect on the positive association between adiponectin levels and ISI (composite).ConclusionsThe data from this large population-based cohort show that circulating omentin levels are associated with insulin sensitivity. Our observations further suggest that omentin acts via upregulation of adiponectin, which in turn affects lipid metabolism and thereby also indirectly enhances insulin sensitivity, but mechanistic studies are required to corroborate this hypothesis.


2018 ◽  
Vol 124 (4) ◽  
pp. 1062-1070
Author(s):  
Lisa Chu ◽  
Katherine M. Morrison ◽  
Michael C. Riddell ◽  
Sandeep Raha ◽  
Brian W. Timmons

Existing methods for diagnosing diabetes and for identifying risk of diabetes development are completed under resting conditions and based on adult data. Studying additional methods to identify metabolic risk in children is warranted. Our objective was to examine the validity and reliability of a metabolic flexibility (MetFlex) test for screening glycemia and insulin resistance (IR) in children. We hypothesized higher MetFlex during exercise would be correlated with lower fasting glucose and homeostasis model assessment of insulin resistance (HOMA-IR) and higher whole body insulin sensitivity index (WBISI) and insulin secretion-sensitivity index-2 (ISSI-2). Thirty-four children with obesity (14 boys, 20 girls) attended two visits. At visit 1, an oral glucose tolerance test (OGTT) was followed by anthropometric and aerobic fitness (V̇o2max) assessments. Insulin and glucose during the OGTT were used to calculate HOMA-IR, WBISI, and ISSI-2. At visit 2, a 13C-enriched carbohydrate drink was ingested before 60 min of exercise at 45% V̇o2max. Breath measurements were collected to calculate area under the curve exogenous carbohydrate to measure MetFlex. Pearson’s r correlation showed no significant association between MetFlex during exercise with fasting glucose ( r = −0.288, P = 0.110). MetFlex was associated with log-HOMA-IR ( r = −0.597, P = 0.024), log-WBISI ( r = 0.575, P = 0.051), and log-ISSI-2 ( r = 0.605, P = 0.037) in boys but not girls. When repeated ( n = 18), MetFlex was deemed a reliable test (intraclass correlation coefficient = 0.692). MetFlex during exercise was negatively associated with IR and β-cell function in boys. Further research is required to explore clinical utility of the MetFlex test and explain the lack of association in girls. NEW & NOTEWORTHY This study is the first to investigate the validity and reliability of a novel noninvasive metabolic flexibility (MetFlex) test for identifying insulin resistance in children with obesity. MetFlex was measured during exercise using [13C]glucose stable isotope methodology. Findings showed that MetFlex was negatively associated with insulin resistance in boys but not in girls with obesity. Future work is required to investigate these sex differences. MetFlex test results were deemed reliable when repeated on a separate day.


2020 ◽  
Vol 318 (3) ◽  
pp. E381-E391 ◽  
Author(s):  
Julie Lacombe ◽  
Omar Al Rifai ◽  
Lorraine Loter ◽  
Thomas Moran ◽  
Anne-Frédérique Turcotte ◽  
...  

Osteocalcin (OCN) is a bone-derived hormone involved in the regulation of glucose metabolism. In serum, OCN exists in carboxylated and uncarboxylated forms (ucOCN), and studies in rodents suggest that ucOCN is the bioactive form of this hormone. Whether this is also the case in humans is unclear, because a reliable assay to measure ucOCN is not available. Here, we established and validated a new immunoassay (ELISA) measuring human ucOCN and used it to determine the level of bioactive OCN in two cohorts of overweight or obese subjects, with or without type 2 diabetes (T2D). The ELISA could specifically detect ucOCN concentrations ranging from 0.037 to 1.8 ng/mL. In a first cohort of overweight or obese postmenopausal women without diabetes ( n = 132), ucOCN correlated negatively with fasting glucose (r = −0.18, P = 0.042) and insulin resistance assessed by the homeostatic model assessment of insulin resistance (r = −0.18, P = 0.038) and positively with insulin sensitivity assessed by a hyperinsulinemic-euglycemic clamp (r = 0.18, P = 0.043) or insulin sensitivity index derived from an oral glucose tolerance test (r = 0.26, P = 0.003). In a second cohort of subjects with severe obesity ( n = 16), ucOCN was found to be lower in subjects with T2D compared with those without T2D (2.76 ± 0.38 versus 4.52 ± 0.06 ng/mL, P = 0.009) and to negatively correlate with fasting glucose (r = −0.50, P = 0.046) and glycated hemoglobin (r = −0.57, P = 0.021). Moreover, the subjects with ucOCN levels below 3 ng/mL had a reduced insulin secretion rate during a hyperglycemic clamp ( P = 0.03). In conclusion, ucOCN measured with this novel and specific assay is inversely associated with insulin resistance and β-cell dysfunction in humans.


2007 ◽  
Vol 157 (4) ◽  
pp. 499-507 ◽  
Author(s):  
Natia Kajaia ◽  
Helge Binder ◽  
Ralf Dittrich ◽  
Patricia G Oppelt ◽  
Bianca Flor ◽  
...  

Background: The aim of the present study is to assess insulin resistance (IR) in women with hyperandrogenic syndrome, which was suggested to replace the term polycystic ovary syndrome by the Androgen Excess Society, and to evaluate whether sex hormone-binding globulin (SHBG) can be used as a predictive marker of IR in hyperandrogenic women. Methods: Clinical, metabolic, and endocrine parameters were measured, and an oral glucose tolerance test was carried out. The women were classified as IR group or non-IR group, in accordance with defined cutoff points for the homeostatic model assessment of IR (HOMA-IR) at ≥2.5, the quantitative insulin sensitivity check index at ≤ 0.33, and the Matsuda insulin sensitivity index (ISI) at ≤ 5. Results: The women classified as having IR had a significantly higher body mass index (BMI) and free androgen index (FAI) and showed significantly lower SHBG and high-density lipoprotein (HDL) levels, regardless of the indices used. However, with the Matsuda ISI, generally more women were diagnosed as having IR, and this group had significantly higher total testosterone and triglyceride values, as well as a higher incidence of hirsutism. Conclusions: Women who were classified as being insulin resistant using insulin sensitivity indices showed significantly higher BMI and FAI values and lower SHBG and HDL levels. However, the Matsuda ISI may be more favorable for identifying IR in hyperandrogenic women. SHBG may serve as a predictive marker of IR in these women, particularly in those who are obese.


2020 ◽  
Vol 4 (4) ◽  
Author(s):  
Riku Klén ◽  
Miikka-Juhani Honka ◽  
Jarna C Hannukainen ◽  
Ville Huovinen ◽  
Marco Bucci ◽  
...  

Abstract Purpose Abnormal lipoprotein and amino acid profiles are associated with insulin resistance and may help to identify this condition. The aim of this study was to create models estimating skeletal muscle and whole-body insulin sensitivity using fasting metabolite profiles and common clinical and laboratory measures. Material and Methods The cross-sectional study population included 259 subjects with normal or impaired fasting glucose or type 2 diabetes in whom skeletal muscle and whole-body insulin sensitivity (M-value) were measured during euglycemic hyperinsulinemic clamp. Muscle glucose uptake (GU) was measured directly using [18F]FDG-PET. Serum metabolites were measured using nuclear magnetic resonance (NMR) spectroscopy. We used linear regression to build the models for the muscle GU (Muscle-insulin sensitivity index [ISI]) and M-value (whole-body [WB]-ISI). The models were created and tested using randomly selected training (n = 173) and test groups (n = 86). The models were compared to common fasting indices of insulin sensitivity, homeostatic model assessment—insulin resistance (HOMA-IR) and the revised quantitative insulin sensitivity check index (QUICKI). Results WB-ISI had higher correlation with actual M-value than HOMA-IR or revised QUICKI (ρ = 0.83 vs −0.67 and 0.66; P < 0.05 for both comparisons), whereas the correlation of Muscle-ISI with the actual skeletal muscle GU was not significantly stronger than HOMA-IR’s or revised QUICKI’s (ρ = 0.67 vs −0.58 and 0.59; both nonsignificant) in the test dataset. Conclusion Muscle-ISI and WB-ISI based on NMR-metabolomics and common laboratory measurements from fasting serum samples and basic anthropometrics are promising rapid and inexpensive tools for determining insulin sensitivity in at-risk individuals.


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