Effects of Glycemic Control upon Serum Lipids and Lipid Transfers to HDL in Patients with Type 2 Diabetes Mellitus: Novel Findings in Unesterified Cholesterol Status

Laverdy, O. G.; Hueb, Whady; Sprandel, Marília Co; Kalil‐Filho, Roberto; Maranhão, Raul C.

doi:10.1055/s-0034-1396863

Cited by 13 publications

(7 citation statements)

References 35 publications

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“…The high-normal range with moderately elevated levels of total cholesterol and hemoglobin A1c defines a high-risk group for the progression to diabetic nephropathy and for clinical events related to arteriosclerotic cardiovascular disease37. Several experimental studies discussed about potential relationship of cholesterol with diabetes mellitus type-23839404142. Total cholesterol is the most important risk factor associated with clinically significant macular edema (CSME)43.…”

Section: Resultsmentioning

confidence: 99%

Comparing GWAS Results of Complex Traits Using Full Genetic Model and Additive Models for Revealing Genetic Architecture

Monir

Zhu

2017

Sci Rep

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Most of the genome-wide association studies (GWASs) for human complex diseases have ignored dominance, epistasis and ethnic interactions. We conducted comparative GWASs for total cholesterol using full model and additive models, which illustrate the impacts of the ignoring genetic variants on analysis results and demonstrate how genetic effects of multiple loci could differ across different ethnic groups. There were 15 quantitative trait loci with 13 individual loci and 3 pairs of epistasis loci identified by full model, whereas only 14 loci (9 common loci and 5 different loci) identified by multi-loci additive model. Again, 4 full model detected loci were not detected using multi-loci additive model. PLINK-analysis identified two loci and GCTA-analysis detected only one locus with genome-wide significance. Full model identified three previously reported genes as well as several new genes. Bioinformatics analysis showed some new genes are related with cholesterol related chemicals and/or diseases. Analyses of cholesterol data and simulation studies revealed that the full model performs were better than the additive-model performs in terms of detecting power and unbiased estimations of genetic variants of complex traits.

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Section: Resultsmentioning

confidence: 99%

Comparing GWAS Results of Complex Traits Using Full Genetic Model and Additive Models for Revealing Genetic Architecture

Monir

Zhu

2017

Sci Rep

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“…Blood draws taken at the 6 h fasting time point were used for analysis of serum lipid profiles. An autoanalyser (7600-120 Automatic Analyser, Hitachi Inc) was used as previously described [18] and the following parameters were measured: triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C).…”

Section: Lipid Profilesmentioning

confidence: 99%

Osteocalcin Improves Metabolic Profiles, Body Composition and Arterial Stiffening in an Induced Diabetic Rat Model

Huang

Yang

et al. 2017

Exp Clin Endocrinol Diabetes

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Recent studies have demonstrated the benefits of osteocalcin (OCN) on glucose homeostasis and metabolic dysregulation. However, its role in body composition and vascular function remains unknown. This study was designed to examine changes in metabolic parameters and body composition as well as arterial stiffness after OCN treatment in type 2 diabetic rats. Adult male Sprague Dawley (SD) rats were fed chow or high fat diet (HFD) for 8 weeks, and then diabetes was induced with an injection of low-dose streptozotocin (STZ) and treated daily with intraperitoneal injections of OCN for 12 weeks. Our data showed that OCN treatment improved glucose homeostasis and lipid metabolism. Further analysis revealed that OCN treatment resulted in increased insulin sensitivity. In addition, untreated diabetic rats experienced significant weight loss, whereas OCN-treated rats better maintained body weight (300.75±38.14 g vs. 335.50±23.70, =0.005). OCN also changed body composition, as evidenced by reduced body fat mass, specifically abdominal fat mass. OCN-treated diabetic rats also demonstrated decreased pulse-wave velocity, indicating of improved arterial stiffness. Taken together, our findings in the current study revealed that OCN therapy prevents arteriosclerosis in an induced diabetic rat model by exerting beneficial effects on glucose levels, insulin sensitivity, lipid metabolites, and body composition changes.

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“…Although many studies have confirmed the relationship between glycemic control and lipid profiles in patients with T2D, the results are quite inconsistent [ 9 , 10 , 11 ]. Khan HA et al reported that the level of HbA1c was positively correlated with TG, TC, and LDL-C, but negatively correlated with HDL-C [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Relationship between Lipid Profiles and Glycemic Control Among Patients with Type 2 Diabetes in Qingdao, China

Wang

Zhang

et al. 2020

IJERPH

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Glycosylated hemoglobin (HbA1c) was the best indicator of glycemic control, which did not show the dynamic relationship between glycemic control and lipid profiles. In order to guide the health management of Type 2 diabetes (T2D), we assessed the levels of lipid profiles and fasting plasma glucose (FPG) and displayed the relationship between FPG control and lipid profiles. We conducted a cross-sectional study that included 5822 participants. Descriptive statistics were conducted according to gender and glycemic status respectively. Comparisons for the control of lipid profiles were conducted according to glycemic control. Four logistic regression models were generated to analyze the relationship between lipid profiles and glycemic control according to different confounding factors. The metabolic control percentage of FPG, triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C) was 27.50%, 73.10%, 28.10%, 64.20% and 44.80% respectively. In the fourth model with the most confounding factors, the odds ratios (ORs) and 95% confidence intervals (CIs) of TG, TC, LDL-C and HDL-C were 0.989 (0.935, 1.046), 0.862 (0.823, 0.903), 0.987 (0.920, 1.060) and 2.173 (1.761, 2.683). TC and HDL-C were statistically significant, and TG and LDL-C were not statistically significant with adjustment for different confounding factors. In conclusion, FPG was significantly associated with HDL and TC and was not associated with LDL and TG. Our findings suggested that TC and HDL should be focused on in the process of T2D health management.

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Effects of Glycemic Control upon Serum Lipids and Lipid Transfers to HDL in Patients with Type 2 Diabetes Mellitus: Novel Findings in Unesterified Cholesterol Status

Abstract: For the first time it was shown that in addition to triglycerides, unesterified cholesterol is also a marker of poor glycemic control. In vitro HDL lipid transfers, an important aspect of HDL metabolism, were not related with the glycemic control.

Cited by 13 publications

References 35 publications

Comparing GWAS Results of Complex Traits Using Full Genetic Model and Additive Models for Revealing Genetic Architecture

Comparing GWAS Results of Complex Traits Using Full Genetic Model and Additive Models for Revealing Genetic Architecture

Osteocalcin Improves Metabolic Profiles, Body Composition and Arterial Stiffening in an Induced Diabetic Rat Model

Relationship between Lipid Profiles and Glycemic Control Among Patients with Type 2 Diabetes in Qingdao, China

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