scholarly journals Effects of Subacute Exposure of Dibutyl Phthalate on the Homeostatic Model Assessment, Thyroid Function, and Redox Status in Rats

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Khalid Abdul Majeed ◽  
Muhammad Shahbaz Yousaf ◽  
Muhammad Sajid Tahir ◽  
Aamir Riaz Khan ◽  
Suliman Khan ◽  
...  

Dibutyl phthalate is an endocrine disruptor used in a wide range of industrial and agriculture applications. The present study focuses on elucidating the effect of subacute exposure (4-weeks) of DBP on insulin and its sensitivity indexes, oxidative status, thyroid function, energy metabolites, serum biochemistry, and anthropometry in rats. A total of 64 rats were divided into 4 treatment groups as mg DBP/Kg body weight per day: (a) 0 mg/Kg (control), (b) 10 mg/Kg (DBP-10), (c) 50 mg/Kg (DBP-50), and (d) 100 mg/Kg (DBP-100). The rats in each treatment ( n = 16 ) were further divided into male ( n = 8 ) and female ( n = 8 ) rats for studying treatment and gender interactions. Intraperitoneal glucose tolerance test (IPGTT) was performed on the 21st day. Anthropometry, nutritional determinants, fasting plasma glucose, fasting plasma insulin, homeostatic model assessment (HOMA), thyroid hormones, energy metabolites, and oxidative status were studied during the experimental period. Two-way ANOVA was used to analyze the data ( p < 0.05 ). Tukey’s posthoc test was used for pair-wise comparisons. DBP increased body weight gain and feed efficiency in an inverted nonmonotonic U -shaped fashion. Hyperglycemia and increased blood glucose area under the curve were observed in DBP-100 at 120 minutes in IPGTT. The HOMA also showed a linear monotonic contrast. Thyroxin decreased significantly in the DBP-100 rats, whereas malondialdehyde, nonesterified fatty acids, and beta hydroxyl butyrate were increased with the DBP treatments. In conclusion, DBP could be attributed to the development of hyperglycemia and insulin resistance in rats. Further investigations into the lipid peroxidation pathways can improve our understanding of the mechanisms involved in metabolic disruption.

2018 ◽  
Vol 103 (6) ◽  
pp. 2089-2099 ◽  
Author(s):  
Alessia Cozzolino ◽  
Tiziana Feola ◽  
Ilaria Simonelli ◽  
Giulia Puliani ◽  
Carlotta Pozza ◽  
...  

Abstract Context Somatostatin analogs (SSAs) effectively control growth hormone secretion in first- and second-line treatment of acromegaly. Their effect on glucose metabolism is still debated. Objective To address the following questions: (1) Do SSAs affect fasting plasma glucose (FPG), fasting plasma insulin, glycosylated hemoglobin (HbA1c), glucose load (glucose levels after 2-hour oral glucose tolerance test), homeostatic model assessment of insulin resistance (HOMA-I), homeostatic model assessment of pancreatic β-cell function (HOMA-β), triglycerides, weight, or body mass index? (2) Do lanreotide and octreotide affect metabolism differently? (3) Does their effect depend on disease control? Design We performed a meta-analysis of prospective interventional trials treating acromegaly with SSAs. Inclusion criteria: all studies reporting glycometabolic outcomes before and after SSAs with a minimum 6-month follow-up. Results The inclusion criteria were met by 47 studies treating 1297 subjects (631 females). SSA treatment effectively lowered fasting plasma insulin [effect size (ES), −6.67 mU/L; 95% confidence interval (CI), −8.38 to −4.95 mU/L; P &lt; 0.001], HOMA-I (ES, −1.57; CI, −2.42 to −0.72; P &lt; 0.001), HOMA-β (ES, −47.45; CI, −73.15 to −21.76; P &lt; 0.001), and triglycerides (ES, −0.37 mmol/L; CI, −0.47 to −0.27 mmol/L; P &lt; 0.001). SSAs worsened glucose levels after a 2-hour oral glucose tolerance test (ES, 0.59 mmol/L; CI, 0.05 to 1.13 mmol/L; P = 0.032), but not FPG. A mild but significant increase in HbA1c (ES, 0.12%; CI, 0.00% to 0.25%; P = 0.044) was found in subjects treated with octreotide. Conclusions SSA treatment in acromegaly patients, while improving disease control, reduces insulin levels, increases after-load glucose, and, ultimately, increases HbA1c levels without affecting FPG. The findings suggest that clinicians treating acromegaly with SSAs should consider targeting postprandial glucose.


2018 ◽  
Vol 3 (3) ◽  
pp. 104
Author(s):  
Mohammad Hossein Rasoulzadegan ◽  
Hamid Reza Soltani ◽  
Masoud Rahmanian ◽  
Nakisa Amid

Introduction: Insulin resistance has a strong relationship with the incidence of type II diabetes. It also has a direct relationship with other risk factors of diabetes, which together are known as metabolic syndrome. The aim of this study was to investigate the relationship between insulin resistance and hypertension.Materials and Methods: In this historical cohort study, 90 patients were divided into three different groups: those without hypertension, those with controlled hypertension, and those with uncontrolled hypertension. Systolic and diastolic blood pressure, body mass index, and laboratory test results such as cholesterol, triglycerides, low- density lipoprotein, high-density lipoprotein, fasting plasma glucose, and fasting plasma insulin were compared among the three groups. Data were analyzed with t-tests and the analysis of variance test, which were performed using statistical package for the social sciences version 20 software.Results: Age and sex were the same among the three groups; however, BMI, systolic blood pressure, and diastolic blood pressure in the uncontrolled-hypertension group were higher than in the controlled-hypertension and without-hypertension groups (P<0.05). Lipid profile (P<0.05), creatinine (P=0.77), and uric acid (P=0.233) were not significantly different among the groups, although fasting plasma insulin (P=0.012) and homeostatic model assessment of insulin resistance (P=0.038) were significantly higher in the uncontrolled-hypertension group than in the other groups.Conclusion: Homeostasis model assessment of insulin resistance in patients with uncontrolled hypertension was higher than in patients with controlled hypertension and those without hypertension. Therefore, homeostatic model assessment of insulin resistance can be used as a predictive clinical test for the early diagnosis of diabetes in patients with uncontrolled hypertension.


2018 ◽  
Vol 7 ◽  
pp. e692
Author(s):  
Haseeb Sattar ◽  
Huqun Li ◽  
Yong Han ◽  
Hong Zhou ◽  
Sanaz Darbalaei ◽  
...  

Background: Metabolic syndrome is a group of different disorders mainly includes, insulin resistance, obesity, cerebrovascular disorders, dyslipidemia, which leads to increase mortality. Patients suffering from related psychotic disorders such as schizophrenia are at the higher risk of developing metabolic syndrome. The aim of this study was to evaluate the association between the first episode of schizophrenia, metabolic syndrome and insulin resistance-related proteins in blood and adipose tissue of mice.Materials and Methods: Twelve, female Balb/c mice were randomly divided into two groups; one group was injected intraperitoneal MK-801 (0.6mg/kg/d) to induce schizophrenia, and other group received the 0.9% normal saline for two weeks. Body weight, fasting blood glucose (FBG), oral glucose tolerance (OGT), and Homeostatic model assessment (HOMA), were observed. Blood and adipose tissue were collected and Western blotting was done to evaluate the insulin resistance related proteins (GGPPS, FAT, PTP-1B, GRK2, ATGL, FGF21, and PGC-1α) by using GAPDH as an internal standard. Results: There was a significant increase in mean body weight in schizophrenic group (21.76 vs 22.81, P=004). On day 14, the FBG, insulin concentrations and Homeostatic model assessment and insulin resistance (HOME-IR) were high in schizhphrenic group vs control group, e.g. 5.3±0.6 vs 3.47±0.2 (P=0.0001), 28.9±2.2 vs 23.3±0.6 (P<0.005) and 9.2±1.3 vs 3.9±0.2 (P=0.0001) . Impaired glucose tolerance deranged from 4.8mmol/L to 6.4mmol/L. Western blotting showed a marked increase in the expression of GGPPS, FAT, ATGL, and FGF21 proteins in monocytes and PTP-1B, GRK2, and PGC-1α ratios in adipose tissues.Conclusion: There was a positive relation between schizophrenia and metabolic syndrome e.g. insulin resistance and obesity. Certain proteins in adipocytes and blood were responsible for causing insulin resistance. [GMJ.2018;7:e692]


Author(s):  
Francesca Caroppo ◽  
Alfonso Galderisi ◽  
Laura Ventura ◽  
Anna Belloni Fortina

AbstractPsoriasis in adults is associated with an increased risk of metabolic disease. Various cardiometabolic comorbidities have been reported in childhood psoriasis, but only a few studies have analyzed the prevalence of metabolic syndrome. We performed a single-center prospective study investigating the prevalence of metabolic syndrome and insulin resistance in children with psoriasis. The prevalence of metabolic syndrome was evaluated in 60 pre-pubertal children with psoriasis (age: 3–10 years), accordingly to recently established criteria for the diagnosis of metabolic syndrome in children. Insulin resistance was considered altered when the homeostatic model assessment (HOMA-IR) for insulin resistance was ≥ 90th sex- and age-specific percentile and HOMA 2-IR was > 1.8. Eighteen (30%) children with psoriasis were found to have metabolic syndrome. Sixteen (27%) children were found to have insulin resistance.Conclusion: Our data underline the importance of assessing metabolic syndrome not only in adults and adolescents but also in young children with psoriasis. What is Known:• Psoriasis in adults is strongly associated with metabolic disease and insulin resistance.• Very limited data are available on the prevalence of metabolic syndrome and insulin resistance in pre-pubertal children with psoriasis. What is New:• This study reports that in pre-pubertal children with psoriasis, there is a high prevalence of metabolic syndrome and insulin resistance.• In children with psoriasis metabolic syndrome risk factors should be assessed.


2011 ◽  
Vol 57 (2) ◽  
pp. 309-316 ◽  
Author(s):  
Greisa Vila ◽  
Michaela Riedl ◽  
Christian Anderwald ◽  
Michael Resl ◽  
Ammon Handisurya ◽  
...  

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 &lt; 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 &lt; 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.


2016 ◽  
Vol 34 (2) ◽  
pp. 234-242 ◽  
Author(s):  
Maria Izabel Siqueira de Andrade ◽  
Juliana Souza Oliveira ◽  
Vanessa Sá Leal ◽  
Niedja Maria da Silva Lima ◽  
Emília Chagas Costa ◽  
...  

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