Small non-coding microRNAs (miRNAs) are implicated in gene regulation, including those involved in coronary artery disease (CAD). Our aim was to identify whether specific serum miRNAs present in the circulating lipoproteins (Lp) are associated with stable or vulnerable CAD patients. A cardiovascular disease-focused screening array was used to assess miRNAs distribution in sera collected from 95 CAD patients: 30 with stable angina (SA), 39 with unstable angina (UA), 26 at one month after myocardial infarction (MI) and 16 healthy control subjects. We found that miR-486, miR-92a and miR-122 presented the highest expression in CAD sera. These miRNA together with miR-125a, miR-146a and miR-33a were further individually analyzed by TaqMan assays. The results were consistent with PCR-array screening data that all of these miRNAs were significantly increased in CAD patients compared to controls. Using a binary logistic regression model, we established that miR-486 and miR-92a in association with some high-density lipoprotein (HDL) components can designate vulnerable CAD patients. Further, all classes of Lp were isolated from sera by density gradient ultracentrifugation. Analysis of the selected miRNAs in each Lp class showed that they were associated mainly with HDL, miR-486 and miR-92a having the highest levels. In UA and MI patients, miR-486 prevailed in HDL2, while miR-92a prevailed in HDL3, and their levels discriminate between stable and vulnerable CAD patients. We identified two circulating miRNAs that in association with some lipid metabolism biomarkers can be used as an additional tool to designate vulnerable CAD patients.

There is a stringent need to find means for risk stratification of coronary artery diseases (CAD) patients. We aimed at identifying alterations of plasma high-density lipoproteins (HDL) components and their validation as dysfunctional HDL that could discriminate between acute coronary syndrome (ACS) and stable angina (SA) patients. HDL2 and HDL3 were isolated from CAD patients’ plasma and healthy subjects. ApolipoproteinAI (apoAI), apoAII, apoCIII, malondialdehyde (MDA), myeloperoxidase (MPO), ceruloplasmin and paraoxonase1 (PON1) were assessed. The anti-inflammatory potential of HDL subfractions was tested by evaluating the secreted inflammatory molecules of tumor necrosis factor α-activated endothelial cells (EC) upon co-incubation with HDL2 or HDL3. We found in ACS versus SA patients: 40% increased MPO, MDA, apoCIII in HDL2 and HDL3, 35% augmented apoAII in HDL2, and in HDL3 increased ceruloplasmin, decreased apoAII (40%) and PON1 protein and activity (15% and 25%). Co-incubation of activated EC with HDL2 or HDL3 from CAD patients induced significantly increased levels of secreted inflammatory molecules, 15–20% more for ACS versus SA. In conclusion, the assessed panel of markers correlates with the reduced anti-inflammatory potential of HDL subfractions isolated from ACS and SA patients (mostly for HDL3 from ACS) and can discriminate between these two groups of CAD patients.

We aimed to determine the levels of microRNAs (miRNAs) in sera and HDL of acute coronary syndrome (ACS) compared to stable angina (SA) patients with/without hyperglycemia, and evaluate comparatively the functional effect of these sera on the processing machinery proteins (Drosha, DGCR8, Dicer) and miRNAs production in human macrophages. MiRNAs levels in sera and HDL from 35 SA and 72 ACS patients and 30 healthy subjects were measured by using microRNA TaqMan assays. MiR-223, miR-92a, miR-486, miR-122, miR-125a and miR-146a levels were higher in the hyperglycemic ACS compared to normoglycemic sera. MiR-223 and miR-486 prevailed in HDL2, while miR-92a predominated in HDL3, all three miRNAs discriminating between ACS and SA patients; their levels were increased in HDL from hyperglycemic ACS patients versus normoglycemic ones. The incubation of human macrophages with sera from ACS and SA patients showed that all patients’ sera induced an increase of Drosha, DGCR8 and Dicer expressions and of selected miRNAs levels compared to control sera, the effect being higher in the case of hyperglycemic versus normoglycemic ACS sera. The addition of glucose to SA and ACS sera increased Drosha, DGCR8 and Dicer expression and miRNAs levels in the exposed macrophages. In conclusion, hyperglycemia is associated with increased miR-223, miR-92a, miR-486 levels in HDL, which discriminate between ACS and SA patients. Exposure of human macrophages to ACS compared to SA sera determines the upregulation of Drosha, DGCR8 and Dicer expression and the increase of selected miRNAs production, the effect being augmented by an increased glucose concentration.

In the present study we aimed to evaluate the potential of in vivo inhibition of miR-486 and miR-92a to reverse hyperlipidemia, then to identify and validate their lipid metabolism-related target genes. Male Golden-Syrian hamsters fed a hyperlipidemic (HL) diet (standard chow plus 3% cholesterol and 15% butter, 10 weeks) were injected subcutaneously with lock-nucleic acid inhibitors for either miR-486 or miR-92a. Lipids and miRNAs levels in liver and plasma, and hepatic expression of miRNAs target genes were assessed in all HL hamsters. MiR-486 and miR-92a target genes were identified by miRWalk analysis and validated by 3'UTR cloning in pmirGLO vectors. HL hamsters had increased liver (2.8-fold) and plasma (twofold) miR-486 levels, and increased miR-92a (2.8-fold and 1.8-fold, respectively) compared to normolipidemic hamsters. After 2 weeks treatment, liver and plasma cholesterol levels decreased (23 and 17.5% for anti-miR-486, 16 and 22% for miR-92a inhibition). Hepatic triglycerides and non-esterified fatty acids content decreased also significantly. Bioinformatics analysis and 3'UTR cloning in pmirGLO vector showed that sterol O-acyltransferase-2 (SOAT2) and sterol-regulatory element binding transcription factor-1 (SREBF1) are targeted by miR-486, while ATP-binding cassette G4 (ABCG4) and Niemann-Pick C1 (NPC1) by miR-92a. In HL livers and in cultured HepG2 cells, miR-486 inhibition restored the levels of SOAT2 and SREBF1 expression, while anti-miR-92a restored ABCG4, NPC1 and SOAT2 expression compared to scrambled-treated HL hamsters or cultured cells. In vivo inhibition of miR-486 and miR-92a could be a useful and valuable new approach to correct lipid metabolism dysregulation.

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The fat diet activates the ERS and oxidative stress, decreases LXRβ, PPARγ, and PON1 in the small intestine, liver, and sera of all HL animals, in parallel with the appearance of atherosclerotic lesions in the aortic valves.

Scope To assess the impact of ginger extract (GIN) in stimulating the production of quality HDL and the cholesterol efflux in the small intestine (SI), key processes in the management of hyperlipidemia (HL)‐induced hepatic steatosis, and atherosclerosis. Methods and results Three groups of hamsters are used: (i) N, fed standard diet, (ii) HL, fed high‐fat diet for 21 weeks, and (iii) HL‐GIN, HL treated with GIN for the last 5 weeks of diet. Apolipoprotein A‐I (apoA‐I), malondialdehyde‐apoA‐I (MDA‐apoA‐I), paraoxonase1 (PON1), and myeloperoxidase (MPO) are measured in plasma and SI. ATP‐binding cassette A1 transporter (ABCA1), ABCG5/G8, liver X receptor α/β (LXRα/β), peroxisome proliferator‐activated receptor γ (PPARγ), and sirtuin1 (SIRT1) are assessed in the SI. Results show that in HL plasma, GIN decreases MDA‐apoA‐I, MPO/PON1 ratio and increases HDL‐cholesterol/total cholesterol. In HL‐SI, GIN decreases MDA‐apoA‐I and MPO, increases ApoA‐I, PON1, and ABCA1, and restores cholesterol efflux disturbed by HL (SIRT1‐LXRα/β‐PPARγ‐ABCG8). GIN administration is associated with the reduction of the aortic valves lipid‐deposits. Conclusion In HL conditions, GIN stimulates the functional HDL production by restoring apoA‐I quality and quantity through inhibition of the oxidative stress, and increases cholesterol efflux in the SI. These effects are associated with the restoration of SIRT1‐LXRα/β‐PPARγ pathway.

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