Effect of anti-gut inflammatory agent on insulin resistance and lipid profile of mice fed different diets

Wang, Zheng; Bao, Zhijun

doi:10.4314/tjpr.v16i11.12

Cited by 5 publications

(6 citation statements)

References 20 publications

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“…A glucose tolerance test was carried out at the end of the ninth week of intervention as previously described 38 . Fasting blood glucose (0 minute) was measured after the mice fasted for 15 h. Glucose concentrations were measured at 30 minutes, 60 minutes, 120 minutes and 180 minutes after intraperitoneal injection of glucose (2 g/kg body weight) by using blood glucose meters (Andon Health, Co., Ltd., China).…”

Section: Glucose Tolerance Test and Serum Insulinmentioning

confidence: 99%

Inulin with different degrees of polymerization protects against diet-induced endotoxemia and inflammation in association with gut microbiota regulation in mice

Wang

Zhu

et al. 2020

Sci Rep

106

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and microbial-dependent metabolites and components driven by inulin on physiological indexes disturbed by a high-fat diet. The objective of this study was to evaluate how inulin with different degrees of polymerization modulated gut microbial ecology and host physiology, including mainly biochemical indicators, glucose metabolism and immunity, as well as to assess whether these microbial changes affect the host phenotype in high-fat diet-fed mice. Results Food intake and body and tissue weight. Food intake in the LC (high-fat diet plus long-chain inulin) group was always higher than that of the other three groups (Fig. 1A). The average food intakes in the NCD (normal chow diet), HFD (high-fat diet), SC (high-fat diet plus short-chain inulin) and LC groups were 18.89, 21.07, 21.76 and 27.36 g/week, respectively. The average weekly food intake in the LC group was significantly higher than that in the HFD and SC groups (p < 0.05), whereas no significant difference was observed between the HFD and NCD groups (Fig. 1B, p > 0.05). The body, liver, epididymal fat, abdominal fat, kidney and pancreas weights at the tenth week in the HFD group were significantly higher than those in the NCD group (p < 0.05), whereas there were no significant differences among the HFD, SC and LC groups (Fig. 1C,D, p > 0.05). Biochemical indicators and glycemic metabolism. Biochemical analysis demonstrated that a high-fat diet resulted in a significant increase in serum triacylglycerol (TG), total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C) compared to those in the NCD group (p < 0.05), whereas we observed no significant differences in TG and HDL-C levels among the HFD, SC and LC groups (Fig. 1E, p > 0.05). Moreover, lower TC levels were observed in the LC group than in the SC group (Fig. 1E, p < 0.05). Higher blood glucose levels were observed in the SC group than in the HFD group at 30 and 60 minutes after glucose loading, and blood glucose concentrations in the SC group were higher than those in the LC group at 30 minutes (Fig. 2A, p < 0.01). Furthermore, fasting glucose concentrations and glucose tolerance test area under the glucose curve (GTT AUC) in the HFD group were significantly higher than those in the NCD group (Fig. 2A,B, p < 0.05). No significant differences in fasting glucose levels and glucose tolerance test area under the glucose curve (GTT AUC) were observed among the HFD, SC and LC groups (p > 0.05). In parallel, serum insulin analysis demonstrated a significant decrease in the HFD group compared with that in the NCD group (p < 0.05), and there was no significant difference among the HFD, SC and LC groups (Fig. 2C, p > 0.05).

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Section: Glucose Tolerance Test and Serum Insulinmentioning

confidence: 99%

Inulin with different degrees of polymerization protects against diet-induced endotoxemia and inflammation in association with gut microbiota regulation in mice

Wang

Zhu

et al. 2020

Sci Rep

106

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“…Patients with rheumatoid arthritis have increased risk of developing heart disease from both ischaemic and non-ischaemic causes in comparison with the general population (Meune, Touze, Trinquart, & Allanore, 2009). Common CV manifestations include pericarditis (Voskuyl, 2006), myocardial dysfunction (Hurd, 1979), valvular heart disease (Roldan, DeLong, Qualls, & Crawford, 2007), atherosclerosis (Aubry et al, 2007;Chung et al, 2005;Ikonomidis, Makavos, et al, 2019;Maradit-Kremers et al, 2005) and increased aortic stiffness and dysfunction of the coronary microcirculation (Roldan, 2008; Table 1).…”

Section: Cardiac Manifestations and Risk Factorsmentioning

confidence: 99%

“…Other inflammatory bowel disease therapies comprise immunosuppressive agents, namely, azathioprine, 6‐mercaptopurine, methotrexate, tacrolimus, cyclosporine A and more recently, antibodies, fusion proteins and small molecules (Su et al, 2019). 5‐Aminosalicylic acid improves lipid profile in mice fed with a high‐fat and high‐cholesterol diet, possibly due to PPARα and PPARγ up‐regulation (Wang & Bao, 2017). In addition, 5‐aminosalicylic acid also ameliorates the insulin resistance state of mice subjected to a high‐fat diet (Luck et al, 2015).…”

Section: Inflammatory Bowel Diseasementioning

confidence: 99%

Chronic inflammatory diseases, myocardial function and cardioprotection

Lazou

Ikonomidis

Barteková

et al. 2020

British J Pharmacology

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The association between chronic inflammatory diseases (CIDs) and increased cardiovascular (CV) risk is well documented and can be a most threatening complication in these patients. However, the pathogenetic mechanisms underlying increased CV risk remain elusive, especially in their cellular and biochemical pathways. Using animal models to understand mechanisms underlying cardiac involvement are limited. Additionally, treatments may influence cardiovascular events through different outcomes. Some drugs used to treat CIDs can negatively affect cardiac function by a direct toxicity, whereas others may protect the myocardium. In the present article, we focus on the cardiac manifestations and risk factors, the pathogenetic mechanisms, and the effect of treatments on myocardial function and cardioprotection for five common worldwide CIDs (rheumatoid arthritis, systemic lupus erythematosus, systemic sclerosis, psoriasis and inflammatory bowel disease). We also give recommendations in order to evaluate common targets between CID and CV disease (CVD) and to design therapies to alleviate CID-related CVD.

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“…The risk factors due to obesity, especially visceral fat deposition and hypercholesterolemia, have a robust impact on the development of metabolic syndrome leading to pivotal causes of mortality [1]. Being overweight is associated with high levels of plasma lipids and lead to metabolic disorders, such as increased plasma low-density lipoprotein-cholesterol (LDL-C) and triglyceride (TG) concentrations [2]. An imbalance in fatty acid metabolism results in the accumulation of TG in hepatocytes.…”

Section: Introductionmentioning

confidence: 99%

Benjankul supplementation improves hepatic fat metabolism in high-fat diet-induced obese rats

Kamchansuppasin¹,

Vongthoung²,

Temrangsee³

et al. 2020

Trop. J. Pharm Res

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Effect of anti-gut inflammatory agent on insulin resistance and lipid profile of mice fed different diets

Cited by 5 publications

References 20 publications

Inulin with different degrees of polymerization protects against diet-induced endotoxemia and inflammation in association with gut microbiota regulation in mice

Inulin with different degrees of polymerization protects against diet-induced endotoxemia and inflammation in association with gut microbiota regulation in mice

Chronic inflammatory diseases, myocardial function and cardioprotection

Benjankul supplementation improves hepatic fat metabolism in high-fat diet-induced obese rats

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