Associations of small dense low-density lipoprotein and adiponectin with complications of type 2 diabetes

Esteghamati, Alireza; Asnafi, Solmaz; Eslamian, Mohammad; Noshad, Sina; Nakhjavani, Manouchehr

doi:10.3109/07435800.2014.913614

Cited by 4 publications

(2 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While both diastolic and systolic blood pressure are included in metabolic syndrome, still we could not observe significant differences for various lipid markers among hypertensive and nonhypertensive patients which is in line with the findings of Esteghamati et al [ 27 ]. However, we found the ratio between sdLDLc/lbLDLc to have weak correlation with systolic and diastolic blood pressures, which indicates that slight derangements in lipid metabolism do develop in subjects having raised blood pressures [ 28 , 29 ].…”

Section: Discussionsupporting

confidence: 92%

Correlation between Cholesterol, Triglycerides, Calculated, and Measured Lipoproteins: Whether Calculated Small Density Lipoprotein Fraction Predicts Cardiovascular Risks

Khan¹,

Fazal²,

Shah³

et al. 2017

Journal of Lipids

View full text Add to dashboard Cite

Background Recent literature in lipidology has identified LDL-fractions to be more atherogenic. In this regard, small density LDL-cholesterol (sdLDLc) has been considered to possess more atherogenicity than other LDL-fractions like large buoyant LDL-cholesterol (lbLDLc). Recently, Srisawasdi et al. have developed a method for calculating sdLDLc and lbLDLc based upon a regression equation. Using that in developing world may provide us with a valuable tool for ASCVD risk prediction. Objective (1) To correlate directly measured and calculated lipid indices with insulin resistance, UACR, glycated hemoglobin, anthropometric indices, and blood pressure. (2) To evaluate these lipid parameters in subjects with or without metabolic syndrome, nephropathy, and hypertension and among various groups based upon glycated hemoglobin results. Design Cross-sectional study. Place and Duration of Study. From Jan 2016 to 15 April 2017. Subjects and Methods Finally enrolled subjects (male: 110, female: 122) were evaluated for differences in various lipid parameters, including measured LDL-cholesterol (mLDLc), HDLc and calculated LDL-cholesterol (cLDLc), non-HDLc, sdLDLC, lbLDLC, and their ratio among subjects with or without metabolic syndrome, nephropathy, glycation index, anthropometric indices, and hypertension. Results Significant but weak correlation was mainly observed between anthropometric indices, insulin resistance, blood pressure, and nephropathy for non-HDLc, sdLDLc, and sdLDLc/lbLDLc. Generally lipid indices were higher among subjects with metabolic syndrome [{sdLDLc: 0.92 + 0.33 versus 0.70 + 0.29 (p < 0.001)}, {sdLDLc/lbLDLc: 0.55 + 0.51 versus 0.40 + 0.38 (p = 0.010)}, {non-HDLc: 3,63 + 0.60 versus 3.36 + 0.65 (p = 0.002)}]. The fact that the sdLDLc levels provided were insignificant in Kruskall Wallis Test indicated a sharp increase in subjects with HbA1c > 7.0%. Subjects having nephropathy (UACR > 2.4 mg/g) had higher concentration of non-HDLc levels in comparison to sdLDLc [{non-HDLc: 3.68 + 0.59 versus 3.36 + 0.43} (p = 0.007), {sdLDLc: 0.83 + 0.27 versus 0.75 + 0.35 (p = NS)}]. Conclusion Lipid markers including cLDLc and mLDLc are less associated with traditional ASCVD markers than non-HDLc, sdLDLc, and sdLDLc/lbLDLc in predicting metabolic syndrome, nephropathy, glycation status, and hypertension.

show abstract

Section: Discussionsupporting

confidence: 92%

Correlation between Cholesterol, Triglycerides, Calculated, and Measured Lipoproteins: Whether Calculated Small Density Lipoprotein Fraction Predicts Cardiovascular Risks

Khan¹,

Fazal²,

Shah³

et al. 2017

Journal of Lipids

View full text Add to dashboard Cite

show abstract

“…Several studies have demonstrated that serum adiponectin level is inversely associated with obesity 26,27 and insulin resistance [28][29][30] . Hypoadiponectemia is significantly related to type 2 diabetes 31 , and independently associated with the MS 12,32,33 . These findings are in agreement with those of the present study which revealed that circulating adiponectin levels were inversely associated with the presence of MS.…”

Section: Discussionmentioning

confidence: 98%

Untitled

2016

IJPSR

View full text Add to dashboard Cite

Metabolic syndrome (MS) is a multi-factorial disorder with insulin resistance as a major characteristic. Adiponectin, an adipocyte derived cytokine, can regulate glucose levels and lipid homeostasis by its insulin sensitizer properties. Low circulating levels of serum adiponectin has been reported as a risk factor for the development of MS. The aim of this case control study was to investigate the association of serum adiponectin concentration, insulin resistance and various risk factors with MS among Tunisian participants. We designed a case-control study involving 100 patients with MS (84 females and 16 males, mean age 54±11 years) and 100 healthy controls (60 females and 40 males, mean age 51±10 years). Serum total cholesterol and triglyceride were determined by enzymatic methods. Insulin resistance was calculated using the homeostasis model assessment (HOMA-IR) = fasting insulin (uU/ml) x fasting plasma glucose (mmol/l)/22.5 and serum adiponectin levels were measured by enzyme-linked immunosorbent assay. Interestingly, 72% of the subjects with MS had high blood pressure. Compared with controls, patients had significantly higher levels of triglycerides (1.64±0.88 mmol /l; 1.07±0.43 mmol/l; p=0.03) and lower levels of high-density lipoprotein cholesterol (1.26±0.41 mmol/l; 1.58±0.30 mmol/l; p=0.04). In addition, there was a significant difference in serum adiponectin levels between the subjects with MS and controls (13.96±5.23 µg/ml; 22.24±9.07 µg/ml; p=0.006) and the mean levels of HOMA-IR were 5.23±3.52 and 1.83±0.93 for patients and controls, respectively. In conclusion, hypoadiponectinemia and insulin resistance represent risk factors for MS development.

show abstract