The independent predictors of NASH and its individual histological features. Insulin resistance, serum uric acid, metabolic syndrome, ALT and serum total cholesterol are a clue to pathogenesis and candidate targets for treatment

2015 ◽  
Vol 47 ◽  
pp. e229 ◽  
Author(s):  
S. Ballestri ◽  
F. Nascimbeni ◽  
D. Romagnoli ◽  
A. Lonardo
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Total Cholesterol ◽  
Serum Uric Acid ◽  
Serum Total Cholesterol ◽  
Histological Features

Insulin resistance, serum uric acid and metabolic syndrome are linked to cardiovascular dysfunction in pediatric obesity

2017 ◽  
Vol 249 ◽  
pp. 366-371 ◽  
Author(s):  
Giulia Genoni ◽  
Veronica Menegon ◽  
Gioel Gabrio Secco ◽  
Michela Sonzini ◽  
Massimiliano Martelli ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Pediatric Obesity ◽  
Cardiovascular Dysfunction

scholarly journals Uric acid as a future biomarker in diagnosing metabolic syndrome patients.

2019 ◽  
Vol 26 (11) ◽  
pp. 1911-1915
Author(s):  
Shameela Majeed ◽  
Brig. Rizwan Hashim
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Waist Circumference ◽  
Serum Uric Acid ◽  
Serum Triglyceride ◽  
Military Hospital ◽  
P Value ◽  
Model Assessment ◽  
R Value

Objectives: To determine the possible correlation between raised serum uric acid and various components of metabolic syndrome (Waist circumference, serum triglyceride, plasma HDL-C). Study Design: Descriptive case control. Setting: Army Medical College laboratory, Military Hospital, Rawalpindi. Period: One year (November 2014 to October 2015). Material and Methods: Total of 100 subjects were enrolled in this study. WHO criteria were applied for identifying the patients of metabolic syndrome. Fasting plasma glucose, lipid profile and serum uric acid levels were measured by using colorimetric enzymatic method. The formula of Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) was applied to calculate Insulin resistance. Collected data was analyzed by using SPSS- Window version-17 for statistical analysis. Results: Serum uric acid levels were turned out to be high in metabolic syndrome patients (cases= 6.1±1.3mg/dL) when compared with controls (having no symptoms of MetS=3.6±1.2; p<0.001). Uric acid showed a statistically significant positive association with waist circumference (WC=r-value:0.250; p-value:0.000) and serum triglyceride (TG=r-value:0.341; p-value:0.000). Negative correlation had been found between plasma high-density lipoprotein-cholesterol (HDL-C=r-value: -0.173; p-value:<0.01) with uric acid levels. Conclusion: Serum uric acid levels show a significant association with components of metabolic syndrome making it a powerful biomarker of metabolic syndrome and its various cardiometabolic complications.

The Relationship of the Hypertension, Insulin Resistance, and Metabolic Syndrome in the Serum Uric Acid Level

2004 ◽  
Vol 34 (9) ◽  
pp. 874 ◽  
Author(s):  
Tae Woo Yoo ◽  
Ki Chul Sung ◽  
Young Choon Kim ◽  
Sang Tai Hwang ◽  
Se Yong Oh ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Uric Acid Level ◽  
Acid Level ◽  
Serum Uric Acid Level ◽  
Relationship Of ◽  
The Relationship

scholarly journals Relationship Between Serum Uric Acid Concentration and Insulin Resistance and Metabolic Syndrome

2005 ◽  
Vol 69 (8) ◽  
pp. 928-933 ◽  
Author(s):  
Tae Woo Yoo ◽  
Ki Chul Sung ◽  
Hun Sub Shin ◽  
Byung Jin Kim ◽  
Bum Soo Kim ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Acid Concentration ◽  
Uric Acid Concentration ◽  
Serum Uric Acid Concentration

scholarly journals The relationship between coronary artery severity and insulin resistance in patients with impaired glucose tolerance and metabolic syndrome

2020 ◽  
Vol 32 (1) ◽  
Author(s):  
Yasser Gaber Metwally ◽  
Heba Kamal Sedrak ◽  
Inas Fahiem Shaltout
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Coronary Artery ◽  
Glucose Tolerance ◽  
Impaired Glucose Tolerance ◽  
Serum Uric Acid ◽  
Glucose Intolerance ◽  
The Other ◽  
Gensini Score

Abstract Background The relation between metabolic syndrome (MS) and coronary artery disease (CAD) is multifactorial, and the well-known risk factors can explain only about 25% of the disease as the relation between insulin resistance (IR) on top of MS and severity of CAD still a subject of debate with conflicting data. Also, IR and glucose intolerance are included in the definition of metabolic syndrome only by some associations. So, the aim of this research was to analyze the the relation between CAD severity (measured by the modified Gensini score) and the different components of the metabolic syndrome including insulin resistance and glucose intolerance. Results Out of 70 patients enrolled, 71.4% represented impaired glucose tolerance group (IGT group; n = 50) and 28.6% represented normal glucose tolerance group (NGT group; n = 20). The following variables were significantly greater among the IGT group including BMI (30.19 ± 2.27 vs 23.62 ± 2.92; P < 0.001), waist circumference (105.09 ± 8.02 vs 92.89 ± 19.92; P < 0.001), frequency of hypertension (80% vs 50%; P = 0.012), 2 h post prandial glucose (164 ± 30 vs 110 ± 20; P < 0. 04), fasting insulin (9.2 ± 1.2 vs 5.1 ± 4.3; P = 0.003), HOMA-IR (3.03 ± 0.12% vs 1.9 ± 0.12, P < 0.001), serum uric acid (4.8 ± 1.3 vs 5.8 ± 2.6; P = 0.03), mean modified Gensini score (22.3 ± 9.2 vs 15.4 ± 6.8; P < 0.001), while the mean serum HDL was significantly higher among the NGT group (40.8 ± 10.1 vs 50.6 ± 10.2; P < 0.001). There was a positive correlation between HOMA–IR; hs-CRP; MS-related variables (including waist circumflex; BMI; serum uric acid; HDL; TG);and the modified Gensini score (for HOMA, r = 0.63; P < 0.001). Several predictors for high scores of modified Gensini were noted in multiple regression analysis; however, out of those several predictors, HOMA-IR was the strongest one (OR = 4.0, 95% CI = (2.04-7.08). Conclusion IR is an independent risk factor for CAD severity in patients with IGT and MS. In patients with IR; those with aggressive CAD (or with a positive family history of premature CAD), IGT should be managed aggressively even before any evidence of frank diabetes. IR workup should be recommended among the other standard workup for those patients, if documented, interventions targeted against IR should be considered among the other standard management.

scholarly journals Potential role of cinnamaldehyde and costunolide to counteract metabolic syndrome induced by excessive fructose consumption

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Ayat S. Rashwan ◽  
Marwa A. El-Beltagy ◽  
Sherif Y. Saleh ◽  
Ibrahim A. Ibrahim
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Superoxide Dismutase ◽  
Uric Acid ◽  
Total Cholesterol ◽  
Plasma Glucose ◽  
Ldl Cholesterol ◽  
Reduced Glutathione ◽  
Sesquiterpene Lactones ◽  
Glycosylated Hemoglobin

Abstract Background One of the serious public health problems in the world is metabolic syndrome. It includes visceral obesity, dyslipidemia, insulin resistance, hyperglycemia, and hypertension. As a contributor to almost all the classic signs of metabolic syndrome, fructose was the ideal choice. There are certain shortcomings with existing drugs for insulin-resistant treatment. Plants still represent the main source of most available medicines. Cinnamaldehyde (CNA) is an active principle of Cinnamomum zeylanicum. Costunolide (CE) is natural sesquiterpene lactones, which is the main bioactive constituent of Saussurea lappa. The main aim of the present study is to investigate the effect of the synthetic antidiabetic agent (metformin) in comparison with natural constituents (cinnamaldehyde, costunolide) after developing a reliable model for insulin resistance by using high fructose diet (HFD). Results It was found that HFD increased plasma glucose, insulin, glycosylated hemoglobin, HbA1c, serum total cholesterol, LDL-cholesterol, triglyceride, ALT, AST, creatinine, and uric acid. Moreover, HFD decreased hepatic reduced glutathione and superoxide dismutase levels. While oral administration of cinnamaldehyde and costunolide significantly decreased plasma glucose, HbA1c, total cholesterol, LDL-cholesterol, triglyceride, and increased level of hepatic reduced glutathione and superoxide dismutase activity. Also, cinnamaldehyde and costunolide restored the altered plasma levels of ALT, AST, creatinine, and uric acid to normal. Conclusions The results of this experimental study showed that cinnamaldehyde and costunolide could be used as safe drugs for treating different abnormalities of metabolic syndrome.

scholarly journals Serum Uric Acid Is Associated with Metabolic Syndrome and Insulin Resistance among Health Personnel from Peru

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Brenda M. Galindo-Yllu ◽  
Ricardo Rojas-Humpire ◽  
Carlos J. Toro-Huamanchumo ◽  
Rosmery Gutierrez-Ajalcriña ◽  
Anderson N. Soriano
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Latin American ◽  
Regression Models ◽  
Health Personnel ◽  
Noncommunicable Diseases ◽  
Female Population ◽  
Total Prevalence

We explored the association between serum uric acid (SUA) and metabolic syndrome (MetS) and insulin resistance (IR) among health personnel from a public hospital in Peru in a cross-sectional study with data from the Plan for the Prevention and Surveillance of Communicable and Noncommunicable Diseases of Huaycán Hospital. MetS was defined according to Latin American Diabetes Association (ALAD) criteria and IR with surrogate IR markers, triglyceride-to-HDL-C ratio (TG/HDL-C), and triglyceride-to-glucose index (TyG). The association between SUA and MetS and IR was determined using Poisson regression models in a sample of 292 participants with an average age of 46.2 ± 10.6 years. The total prevalence of MetS was 38%, and the individuals with MetS presented mainly alterations in anthropometric parameters (obesity and body fat). Finally, the adjusted regression models showed that women with SUA in the highest tertile increased the prevalence of MetS (PR: 1.71, 95% CI: 1.07–2.74) compared to the lowest tertile of SUA in women, while SUA increased hypertriglyceridemia and IR (TG/HDL-C and TyG) in both sexes. We concluded that SUA is strongly associated with MetS in women, and SUA increases hypertriglyceridemia and IR in both sexes. On the contrary, more research is required regarding the female population.

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