Association of matrix γ-carboxyglutamic acid protein levels with insulin resistance and Lp(a) in diabetes: A cross-sectional study

Antonopoulos, Stavros; Mylonopoulou, M.; Angelidi, Angeliki M.; Kousoulis, Antonis A.; Tentolouris, Nicholas

doi:10.1016/j.diabres.2017.06.015

Cited by 7 publications

(3 citation statements)

References 49 publications

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“…The negative correlation between LAP and the TyG index, a marker of insulin resistance, suggests that higher LAP values are associated with increased insulin resistance. This finding is consistent with a study by [31] which reported a negative correlation between LAP and the TyG index in a sample of Chinese adults.…”

Section: Discussionsupporting

confidence: 93%

Comparative Evaluation of Lipid Accumulation Product, and Triglyceride-Glucose Indices in Apparently Healthy Subjects in Predicting Cardiovascular Risks in Port-Harcourt

Chimzindu,

Brisibe,

George–Opuda

et al. 2023

JAMPS

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Lipid accumulation product is a novel biomarker of central lipid accumulation related to the risk of diabetes and cardiovascular diseases. In certain metabolic diseases, insulin resistance is often present which could be attributed to an abnormality in the insulin-specific receptors in various tissues, obesity, or visceral adiposity. This study aimed at determining the triglyceride–glucose index and lipid accumulation product index of apparently healthy individuals in Port Harcourt. A total of 150 healthy individuals were assessed for anthropometric and biochemical measurement, lipid accumulation production (LAP), and triglyceride --glucose index TyG. Comparison of mean values of biophysical variables body mass index (BMI), lipid accumulation product indices, cardiovascular, triglyceride–glucose index, insulin, C-peptide, glycated haemoglobin (HbAIC), Fasting blood sugar (FBS), and Body Mass Index (BMI) of male and female subjects were measured using standard procedures. A detailed comparison of mean values of biophysical variables of male and female subjects shows that the mean age for the male subjects (41.55±6.99 years) was significantly higher (p=0.0159) when compared to the mean age for female subjects (39.04±5.6 years. There was no significant difference in the mean weight, height, BMI, waist circumference, SBP, DBP, T. Chol, triglyceride, HDL, LDL, C-peptide level, HbAIc, FBS level, T. CHOL/HDL ratio, T. CHOL/LDL ratio, and TyG index between the male and female subjects. However, there was a significantly higher level of insulin for male than female subjects and higher LAP for female than male subjects. Also, there was a higher HOMA-R for male subjects than female subjects. Additionally, there was a positive correlation between BMI and the following; mean age, systolic blood pressure (SBP), diastolic blood pressure (DBP), waist circumference (WC), and insulin levels. The Receiver's Operating Characteristics (ROC) curve for the LAP test had a high AUC value of 0.9970. Similarly, the ROC curve analysis of the TyG test had a high AUC of 0.8344. However, these findings emphasize the LAP test has a stronger discriminatory ability than TyG. Healthy individuals may have the cardiovascular risk of being evaluated by LAP, which is very cost-effective.

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Section: Discussionsupporting

confidence: 93%

Comparative Evaluation of Lipid Accumulation Product, and Triglyceride-Glucose Indices in Apparently Healthy Subjects in Predicting Cardiovascular Risks in Port-Harcourt

Chimzindu,

Brisibe,

George–Opuda

et al. 2023

JAMPS

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“…Epidemiologically, Lp(a) levels have a significant positive relation with serum levels of matrix GLA protein (MGP), a known inhibitor of bone morphogenetic protein-2 (BMP-2) ( 52 ). If this association were due to Lp(a) induction of MGP, then one would expect Lp(a) to have an inhibitory effect on BMP-2 and an inverse association with vascular calcification.…”

Section: Lipoprotein(a) [Lp(a)]mentioning

confidence: 99%

Lipoproteins in Cardiovascular Calcification: Potential Targets and Challenges

Tintut

Hsu

Demer

2018

Front. Cardiovasc. Med.

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Previously considered a degenerative process, cardiovascular calcification is now established as an active process that is regulated in several ways by lipids, phospholipids, and lipoproteins. These compounds serve many of the same functions in vascular and valvular calcification as they do in skeletal bone calcification. Hyperlipidemia leads to accumulation of lipoproteins in the subendothelial space of cardiovascular tissues, which leads to formation of mildly oxidized phospholipids, which are known bioactive factors in vascular cell calcification. One lipoprotein of particular interest is Lp(a), which showed genome-wide significance for the presence of aortic valve calcification and stenosis. It carries an important enzyme, autotaxin, which produces lysophosphatidic acid (LPA), and thus has a key role in inflammation among other functions. Matrix vesicles, extruded from the plasma membrane of cells, are the sites of initiation of mineral formation. Phosphatidylserine, a phospholipid in the membranes of matrix vesicles, is believed to complex with calcium and phosphate ions, creating a nidus for hydroxyapatite crystal formation in cardiovascular as well as in skeletal bone mineralization. This review focuses on the contributions of lipids, phospholipids, lipoproteins, and autotaxin in cardiovascular calcification, and discusses possible therapeutic targets.

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“…The factors influencing the occurrence and development of CACS include age, body mass index (BMI), diabetes, hypertension, smoking, inflammatory factors, fibrinogen, and dyslipidemia, etc [7][8][9][10][11] . Intervention studies on CAC mainly focus on controlling lipid abnormalities 12,13 .…”

Section: Introductionmentioning

confidence: 99%

Predictive Model for Severe Coronary Artery Calcification in ESKD Patients

Tang,

Qian,

Zeng

et al. 2023

Preprint

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IntroductionThe Agatston coronary artery calcification score (CACS) is an assessment index for coronary artery calcification (CAC). This study aims to explore the characteristics of CAC in end-stage kidney disease (ESKD) patients and establish a predictive model to assess the risk of severe CAC in patients.MethodsCACS of ESKD patients was assessed using an electrocardiogram-gated coronary computed tomography (CT) scan with the Agatston scoring method. A predictive nomogram model was established based on stepwise regression. An independent validation cohort comprised of patients with ESKD from multicentres.Results369 ESKD patients were enrolled in the training set, and 127 patients were included in the validation set. In the training set, the patients were divided into three subgroups: no calcification (CACS = 0, n = 98), mild calcification (0 < CACS ≤ 400, n = 141) and severe calcification (CACS > 400, n = 130). Among the four coronary branches, the left anterior descending branch (LAD) accounted for the highest proportion of calcification. Stepwise regression analysis showed that age, dialysis vintage, β-receptor blocker, calcium-phosphorus product (Ca × P), and alkaline phosphatase (ALP) level were independent risk factors for severe CAC. A nomogram that predicts the risk of severe CAC in ESKD patients has been internally and externally validated, demonstrating high sensitivity and specificity.ConclusionCAC is both prevalent and severe in ESKD patients. In the four branches of the coronary arteries, LAD calcification is the most common. Our validated nomogram model, based on clinical risk factors, can help predict the risk of severe coronary calcification in ESKD patients who cannot undergo coronary CT analysis.

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Association of matrix γ-carboxyglutamic acid protein levels with insulin resistance and Lp(a) in diabetes: A cross-sectional study

Cited by 7 publications

References 49 publications

Comparative Evaluation of Lipid Accumulation Product, and Triglyceride-Glucose Indices in Apparently Healthy Subjects in Predicting Cardiovascular Risks in Port-Harcourt

Comparative Evaluation of Lipid Accumulation Product, and Triglyceride-Glucose Indices in Apparently Healthy Subjects in Predicting Cardiovascular Risks in Port-Harcourt

Lipoproteins in Cardiovascular Calcification: Potential Targets and Challenges

Predictive Model for Severe Coronary Artery Calcification in ESKD Patients

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