scholarly journals Type 2 Diabetes and Adiposity Induce Different Lipid Profile Disorders: A Mendelian Randomization Analysis

2018 ◽  
Vol 103 (5) ◽  
pp. 2016-2025 ◽  
Author(s):  
Ningjian Wang ◽  
Jing Cheng ◽  
Zhiyuan Ning ◽  
Yi Chen ◽  
Bing Han ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Lipid Profile ◽  
Total Cholesterol ◽  
Mendelian Randomization ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Regression Coefficients ◽  
Causal Relationships ◽  
Genetically Determined

Abstract Context Type 2 diabetes and obesity often coexist, so it is difficult to judge whether diabetes or obesity induce certain types of hyperlipidemia due to mutual confounds and reverse causation. We used Mendelian randomization analyses to explore the causal relationships of diabetes and adiposity with lipid profiles. Design, Setting, and Main Outcome Measures From 23 sites in East China, 9798 participants were enrolled during 2014 to 2016. We calculated two weighted genetic risk scores as instrumental variables for type 2 diabetes and body mass index (BMI). These scores were used to measure the causal relationships of diabetes and BMI with lipid profiles that included total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TGs). Results The causal regression coefficients (βIV) of genetically determined diabetes for the total cholesterol, LDL-C, and log10TG were 0.130 [95% confidence interval (CI): 0.020, 0.240; P = 0.014], 0.125 (96% CI: 0.041, 0.209; P = 0.001), and 0.019 (95% CI: –0.001, 0.039; P = 0.055), respectively. The βIV for HDL-C was –0.008 (95% CI: –0.032. 0.016), which was not significant (P = 0.699). The causal regression coefficients of a genetically determined 10 kg/m2 increase in BMI for HDL-C and log10TG were –0.409 (96% CI: –0.698, –0.120; P = 0.004) and 0.227 (95% CI: 0.039, 0.415; P = 0.026), respectively. The βIVs for TGs and LDL-C were not significant. Conclusions This study has provided evidence for the biologically plausible causal effects of diabetes and adiposity by BMI on different elements of the lipid profile using Mendelian randomization analyses.

scholarly journals Effects of an Herbal Combination on Glycemic Control and Lipid Profile in Diabetic Women: A Randomized, Double-Blind, Placebo-Controlled Clinical Trial

2017 ◽  
Vol 22 (4) ◽  
pp. 798-804 ◽  
Author(s):  
Reyhaneh Shokoohi ◽  
Saeed Kianbakht ◽  
Mohammad Faramarzi ◽  
Masoud Rahmanian ◽  
Farzaneh Nabati ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Lipid Profile ◽  
Glycosylated Hemoglobin ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Controlled Clinical Trial ◽  
Cholesterol Levels

The present study was conducted to explore the efficacy and safety of a herbal combination in the treatment of women with hyperlipidemic type 2 diabetes. The herbal combination capsule (600 mg) contained Terminalia chebula fruit extract (200 mg), Commiphora mukul (200 mg), and Commiphora myrrha oleo-gum-resin (200 mg), and the placebo capsule contained 600 mg toast powder. The patients in one group took the herbal combination and those in the other group took placebo capsules 3 times a day for 3 months. In the herbal combination–treated patients, the fasting blood glucose, total cholesterol, and low-density lipoprotein cholesterol levels were decreased and hidh-density lipoprotein cholesterol levels was increased significantly at the endpoint compared with the placebo and baseline. Other blood parameters such as glycosylated hemoglobin, triglyceride, blood urea nitrogen, creatinine, SGOT, and SGPT levels were not significantly changed after 3 months in both groups. In conclusion, the herbal combination improves glycemic control and lipid profile in women with hyperlipidemic type 2 diabetes without any adverse events.

scholarly journals Dyslipidemia in Type 2 Diabetes Mellitus Patients With Poor Glycemic Control: Relationship Between HbA1c and Lipid Profile.

2021 ◽  
Author(s):  
Huiwen Xu ◽  
Shuang Qiu ◽  
Xiaodan Yuan ◽  
Yan Zou ◽  
En Takashi ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Lipid Profile ◽  
Low Density Lipoprotein ◽  
Full Range ◽  
Density Lipoprotein ◽  
Poor Glycemic Control ◽  
Lipoprotein Cholesterol ◽  
Cutoff Values

Abstract Aims: This study identified the lipid profile across a full range of poor glycemic control and the association between lipid profiles with different specific glycated hemoglobin (HbA1c) cutoffs in patients with type 2 diabetes (T2DM). Methods: A total of 1183 T2DM patients with poor glycemic control (HbA1c>7%) selected through convenience sampling in three hospitals of Jiangsu province were surveyed during April 2018 and July 2019. Dyslipidemia was defined according to criteria of the Third Report of the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III).Results: The prevalence of dyslipidemia was 55.2 % overall. Of 1183 subjects, 13.0% had high total cholesterol (TC), 33.1% had low high density lipoprotein cholesterol (HDL-C), 9.9% had high low density lipoprotein cholesterol (LDL-C), and 28.4% had high triglycerides (TG) concentrations. There was an increase in frequency of dyslipidemia in patients with different cutoff values of HbA1c (P<0.05). The prevalence of high TC was closely related with different cutoff values of HbA1c (adjusted OR =1.77, 2.56 3.82, respectively). Patients with HbA1c values 9%≤HbA1c<11% and HbA1c≥13% had significantly higher prevalence of dyslipidemia compared with the patients who had 7≤HbA1c<9%.Conclusion: T2DM patients with 9%≤HbA1c<11% and HbA1c≥13% tend to have moderate and severe dyslipidemia respectively, suggesting the importance of glycemic control in normalizing dyslipidemia.

Apolipoprotein B and non-high-density lipoprotein cholesterol reveal a high atherogenicity in individuals with type 2 diabetes and controlled low-density lipoprotein-cholesterol

2020 ◽  
Author(s):  
Liliana Fonseca ◽  
Sílvia Paredes ◽  
Helena Ramos ◽  
José Carlos Oliveira ◽  
Isabel Palma
Keyword(s):  
Type 2 Diabetes ◽  
Lipid Profile ◽  
Oxidized Ldl ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Lipid Parameters

Abstract Purpose: Lipid-lowering therapy is guided by Low-density-lipoprotein cholesterol (LDL-c), although the CVD risk could be better reflected by other lipid parameters. This study aimed the evaluation of a comprehensive lipid profile in patients with type 2 diabetes mellitus (T2DM) and comparation of those achieving and not achieving LDL-c control in respect to other non-conventional lipid parameters. Methods: We characterized a comprehensive lipid profile in 96 T2DM patients. ESC/EAS 2016 and 2019 Guidelines for the Management of Dyslipidemias were used to define LDL-c targets. Atherogenic lipoprotein profile was compared in patients with LDL-c within and above the target. Results: Only 28.1% and 16.7% of patients had mean LDL-c levels within the 2016 and 2019 guidelines, respectively. In patients with LDL-c within target by the 2016 guidelines, 22%, 25% and 44% presented levels above the recommended range for non-HDL-c, ApoB and oxidized LDL-c, respectively, whereas accordingly to the 2019 guidelines, 50%, 39% and 44% had elevated levels of -HDL-c, ApoB and oxidized LDL-c, respectively. There was a significant strong association of LDL-c and non-HDL-c (r=0.850), ApoB (r=0.656) and oxidized LDL-c (r=0.508). Similarly, non-HDL-c was significantly strongly correlated with ApoB (r=0.808) and oxidized LDL-c (r=0.588). Conclusions: These findings emphasize the limitations of a sole LDL-c measurement for CV risk assessment. Targeting only LDL-c could result in missed opportunities for CV risk reduction in T2DM individuals. Our data suggest that non-HDL-c, ApoB and oxidized LDL-c could be considered as part of these patients’ evaluation allowing a more accurate estimation of CV risk and treatment among these high-risk patients.

scholarly journals Correlation between hemoglobin A1c and serum lipid profile in Afghani patients with type 2 diabetes: hemoglobin A1c prognosticates dyslipidemia

2017 ◽  
Vol 8 (4) ◽  
pp. 51-57 ◽  
Author(s):  
Arshad Hussain ◽  
Iftikhar Ali ◽  
Muhammad Ijaz ◽  
Afaq Rahim
Keyword(s):  
Type 2 Diabetes ◽  
Lipid Profile ◽  
Serum Lipid ◽  
Hemoglobin A1c ◽  
Linear Regression Analysis ◽  
Density Lipoprotein ◽  
Preventive Measure ◽  
Lipoprotein Cholesterol ◽  
Serum Lipid Profile

Background: Patients with type 2 diabetes (T2DM) have an increased prevalence of dyslipidemia, which contributes to their high risk of cardiovascular diseases (CVDs). This study is an attempt to determine the correlation between hemoglobin A1c (HbA1c) and serum lipid profile and to evaluate the importance of HbA1c as an indicator of dyslipidemia in Afghani patients with T2DM. Methods: A total of 401 Afghani patients with T2DM (men, 175; women, 226; mean age, 51.29 years) were included in this study. The whole blood and sera were analyzed for fasting blood sugar (FBS), HbA1c, total cholesterol (TC), triglycerides (TGs), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C). Dyslipidemia was defined according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) guidelines. Diabetes was defined as per American Diabetes Association criteria. The correlation of FBS, HbA1c with lipid ratios and individual lipid indexes were analyzed. The statistical analysis was done by SPSS statistical package version 16.0. Results: The mean age ± standard deviation of male and female patients were 51.71 ± 11.70 and 50.97 ± 10.23 years respectively. There was a significant positive correlation between HbA1c, TC, TG, LDL-C and LDL-C/HDL-C ratio. The correlation between HbA1c and HDL-C was negative and was statistically nonsignificant. Furthermore, HbA1c was found to be a predictor of hypercholesterolemia, LDL-C and TG via a linear regression analysis. Patients with HbA1c value greater than 7.0% had significantly higher value of cholesterol, LDL-C, and LDL-C/HDL-C ratio compared with patients with an HbA1c value up to 7.0%. Conclusions: Apart from a reliable glycemic index, HbA1c can also be used as a predictor of dyslipidemia and thus early diagnosis of dyslipidemia can be used as a preventive measure for the development of CVD in patients with T2DM.

scholarly journals A LIPID PROFILE STUDY AMONGST THE CASES OF TYPE 2 DIABETES MELLITUS - A CROSS SECTIONAL STUDY

2020 ◽  
pp. 27-28
Author(s):  
Divya Sinha ◽  
S. R. Padmeodev ◽  
Debarshi Jana
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Lipid Profile ◽  
Total Cholesterol ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Cross Sectional

Introduction: India leads the world with largest number of diabetic cases and is often referred to as the diabetes capital. Diabetic dyslipidemia in India is one of the main causes for Coronary Artery Disease (CAD) mortality of the world. Dyslipidemia are disorders of lipoprotein metabolism, including lipoprotein overproduction or deficiency. It is a preventable risk factor which is mostly observed in diabetes cases and that may precipitate the cardiovascular disorders. Our aim of the study is to determine the impact of type 2 diabetes mellitus (T2DM) on lipid profile of diabetic cases reporting at tertiary care hospital. Materials and methods: It was a cross sectional study conducted at Department of Biochemistry, Patna Science College, Patna, Bihar. Total 140 diabetic cases were randomly selected and they were examined for dyslipidemia. Fasting blood glucose concentration and Lipid Profile [Total Cholesterol (TC), High Density Lipoprotein (HDL), Very Low Density Lipoprotein (VLDL) and Triglycerides (TG)] were investigated by using commercially available reagent kits in Biochemistry analyzer. Collected data was analyzed by using appropriate software. Results: Out of total 140 diabetic cases examined, the mean age of cases was 48.93 ± 12.1 years. In present study we found the mean Fasting Blood Sugar (FBS) was 188.76 ± 54.63 mg/dl. The prevalence rates in our study for high Total Cholesterol (TC) and Triglycerides (TG) were 13.6% and 41.4% respectively. The prevalence rates for high LDL-C, very high LDL-C and low HDL-C in the diabetic subjects were 8.6%, 5.0% and 72.9% respectively. Conclusion: The diabetic cases had elevated serum total cholesterol, elevated triglyceride (triacylglycerol) and slightly elevated low density lipoprotein (LDL-C) and reduced levels of high density lipoprotein (HDL-C) indicating that diabetic cases were more prone to cardiovascular diseases. Type 2 Diabetes Mellitus, Dyslipidemia, Triglyceride, HDL-C, LDL-C, Total Cholesterol.

scholarly journals A Systematic Review of the Effectiveness of Ginger, Cinnamon, Turmeric, Curcumin, and Curcuminoids for Dyslipidemia Associated With Diabetes

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 316-316
Author(s):  
Vivian Haley-Zitlin ◽  
Sepideh Alasvand ◽  
William Bridges
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Sample Size ◽  
Lipid Profile ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Cochrane Library ◽  
Trial Duration ◽  
Manual Search

Abstract Objectives This systematic review explores ginger, cinnamon, turmeric, curcumin, and curcuminoids efficiency in improving the serum lipid profile of individuals with type 2 diabetes (T2DM). Methods Randomized controlled trials (RCTs), reported without restriction in language, that evaluated the effectiveness of ginger, cinnamon, turmeric, curcumin and curcuminoids on lipid profile parameters (total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglyceride (TG)) in individuals with T2DM were investigated through January 2021. PubMed, FSTA, Web of Science, CINAHEL, MEDLINE, and Cochrane Library databases were searched using relevant keywords. The following information was extracted: first author's name, publication year, geographical location of study, study design, sample size, age and gender of participants from intervention and controls groups, intervention duration, time of the intervention, dose of spices, and type of intervention or control. Results One thousand-thirty relevant articles were identified after searching the electronic databases followed by a manual search. After removing all duplicate articles, screening the title and abstract, and scrutinizing the full text based on the inclusion criteria, 28 studies remained with a sample size of 1049 eligible patients in the control arm and 1035 patients in the intervention arm. Spice supplements were provided in capsule form: ginger, 8; curcumin,3; turmeric, 3; cinnamon, 11; curcuminoids, 3. Trial duration was one to three months. Conclusions In general, ginger, cinnamon, turmeric, curcumin, and curcuminoids were associated with an improved lipid profile in the presence of type 2 diabetes. Therefore, these spices may be a potential source for modern dyslipidemia treatments in individuals with type 2 diabetes. Funding Sources N/A.

Type 2 diabetes and lipid profile: Is low-density lipoprotein - Cholesterol enough?

2018 ◽  
Vol 275 ◽  
pp. e200
Author(s):  
L. Fonseca ◽  
S. Paredes ◽  
J. Vilaverde ◽  
M. Alves ◽  
J.C. Oliveira ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Lipid Profile ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol

scholarly journals Relationship of Glycated Haemoglobin with Lipid Profile among Patients with Type 2 Diabetes Mellitus

2017 ◽  
Vol 7 (1) ◽  
pp. 43-47 ◽  
Author(s):  
Tasrina Shamnaz Samdani ◽  
Palash Mitra ◽  
Muhammad Abdur Rahim
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Lipid Profile ◽  
Significant Positive Correlation ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Diabetic Patients ◽  
Positive Correlation

Background: Glycated hemoglobin (HbA1c) is widely used as an index of mean glycaemia, a measure of risk for the development of diabetic complications and a measure of the quality of diabetes care. Patients with type 2 diabetes have an increased prevalence of dyslipidemia. Treatment of dyslipidaemia improves cardiovascular outcomes. The aim of this study was to determine the impact of glycemic control on lipid profile.Methods: This cross-sectional study was conducted among 300 type 2 diabetic patients admitted in BIRDEM General Hospital from November 2013 to April 2015. Fasting blood samples were collected and different lipid fractions along with fasting blood glucose and HbA1c were estimated. Pearson’s correlation test was applied to evaluate the correlation between HbA1c and components of lipid profile.Results: The mean value of total cholesterol (TC), triglyceride (TG), low density lipoprotein-cholesterol (LDLC), fasting blood glucose (FBG) and HbA1c were higher and high density lipoprotein-cholesterol (HDL-C) was lower in females when compared with these values for males. HbA1c had significant positive correlation with LDL-C (p=0.045) and negative correlation with HDL-C (p=0.024). Serum lipid profile and glycaemic controls were significantly (p=0.000) better in older age group (age ? 50 years).Conclusions: Significant positive correlation of HbA1c with lipid profiles specially LDL-C suggested that HbA1c can also be used as predictor of dyslipidemia in addition to glycemic control.Birdem Med J 2017; 7(1): 43-47

scholarly journals Serum Vitamin D Affected Type 2 Diabetes though Altering Lipid Profile and Modified the Effects of Testosterone on Diabetes Status

Nutrients ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 90
Author(s):  
Lulu Wang ◽  
Xue Liu ◽  
Jian Hou ◽  
Dandan Wei ◽  
Pengling Liu ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Vitamin D ◽  
Lipid Profile ◽  
Serum Vitamin ◽  
Density Lipoprotein ◽  
Interactive Effects ◽  
Lipoprotein Cholesterol ◽  
Serum Vitamin D ◽  
Diabetes Status

Numerous studies have investigated the associations between serum vitamin D or testosterone and diabetes; however, inconsistencies are observed. Whether there is an interaction between vitamin D and testosterone and whether the lipid profile (total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C)) mediates the association between vitamin D and diabetes is unclear. To investigate the effect of vitamin D and testosterone on impaired fasting glucose (IFG) or type 2 diabetes mellitus (T2DM), 2659 participants from the Henan Rural Cohort were included in the case-control study. Generalized linear models were utilized to estimate associations of vitamin D with IFG or T2DM and interactive effects of vitamin D and testosterone on IFG or T2DM. Principal component analysis (PCA) and mediation analysis were used to estimate whether the lipid profile mediated the association of vitamin D with IFG or T2DM. Serum 25(OH)D3, 25(OH)D2, and total 25(OH)D levels were negatively correlated with IFG (odds ratios (ORs) (95% confidence intervals (CIs)): 0.99 (0.97, 1.00), 0.85 (0.82, 0.88), and 0.97 (0.96, 0.98), respectively). Similarity results for associations between serum 25(OH)D2 and total 25(OH)D with T2DM (ORs (95%CIs): 0.84 (0.81, 0.88) and 0.97 (0.96, 0.99)) were observed, whereas serum 25(OH)D3 was negatively correlated to T2DM only in the quartile 2 (Q2) and Q3 groups (both p < 0.05). The lipid profile, mainly TC and TG, partly mediated the relationship between 25(OH)D2 or total 25(OH)D and IFG or T2DM and the proportion explained was from 2.74 to 17.46%. Furthermore, interactive effects of serum 25(OH)D2, total 25(OH)D, and testosterone on T2DM were observed in females (both p for interactive <0.05), implying that the positive association between serum testosterone and T2DM was vanished when 25(OH)D2 was higher than 10.04 ng/mL or total 25(OH)D was higher than 40.04 ng/mL. Therefore, ensuring adequate vitamin D levels could reduce the prevalence of IFG and T2DM, especially in females with high levels of testosterone.

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