Exploring the Active Compounds of Traditional Mongolian Medicine Baolier Capsule (BLEC) in Patients with Coronary Artery Disease (CAD) Based on Network Pharmacology Analysis, Molecular Docking and Experimental Validation.

Objective: Baolier Capsule (BLEC) is a Traditional Mongolian Medicine comprising fifteen herbs. This study aims to illustrate the synergistic mechanism of BLEC in the treatment of Coronary Artery Disease (CAD) by using network pharmacology method, molecular docking and experimental validation. Methods: Searching and screening the active ingredients of different herbs in BLEC and target genes related to CAD in multiple databases. Subsequently, Protein-Protein Interactions Network (PPI-Net), gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment were used to identify the key targets. AutoDock was used to verify the binding ability between the active ingredient and key target through molecular docking. Reverse Transcription-Quantitative Real-Time Polymerase Chain Reaction (RT-qPCR) was used to verify the effect of active ingredient of BLEC on the key target gene. Finally, effect of BLEC on the degree of blood lipids and atherosclerosis was validated by animal experiment. Results: There are 144 active components and 80 CAD-related targets that are identified in BLEC in the treatment of CAD. What is more, 8 core genes were obtained by clustering and topological analysis of PPI-Net. Further, GO and KEGG analysis showed that fluid shear stress and atherosclerosis are the key pathways for BLEC to treat CAD. These results were validated by molecular docking method. In vitro, active compounds of BLEC (Quercetin, luteolin, kaempferol, naringenin, tanshinone IIA, ß-carotene, 7-O-methylisomucronulatol, piperine, isorhamnetin and Xyloidone) can inhibit 8 core gene (AKT1, EGFR, FOS, MAPK1, MAPK14, STAT3, TP53 and VEGFA) expression. Moreover, BLEC not only improve blood lipid levels but also inhibit the development of atherosclerosis in ApoE-knockout mice. Conclusion: Our research first revealed the basic pharmacological effects and related mechanisms of in the treatment of CAD. The predicted results provide some theoretical support for BLEC or its important active ingredients to treat CAD.

Plasma Leukocyte Cell-Derived Chemotaxin 2 (LECT2) as a Risk Factor of Coronary Artery Disease: A Cross-Sectional Study.

Many studies have shown that leukocyte cell-derived chemotaxin 2 (LECT2) is associated with metabolic disorders, which is a risk factor of arteriosclerosis. We assessed the level of LECT-2 in patients with coronary artery disease (CAD) and its severity and prognosis. We selected 666 participants who underwent coronary angiography in our hospital and included patients with non-CAD, patients with stable angina pectoris (SAP), patients with unstable angina (UA), patients with non-ST-segment elevation myocardial infarction (NSTEMI) and patients with ST-segment elevation myocardial infarction (STEMI). The serum level of LECT-2 was higher in patients with CAD than in patients with non-CAD and was an independent predictor for CAD. Subgroup analysis showed that compared with the SAP group, the UA, NSTEMI, and STEMI groups had higher serum levels of LECT-2. In addition, the level of LECT-2 was related to the SYNTAX score and SYNTAX II score. Finally, patients with acute myocardial infarction (AMI) with elevated levels of LECT-2 had a higher risk of major adverse cardiovascular events (MACEs) within 12 months than those with lower levels of LECT-2. Plasma LECT-2 levels may be useful for the diagnosis of CAD and as predictors of MACE in patients with AMI.

Association Between Plasma ADAMTS-9 Levels and Severity of Coronary Artery Disease.

Genome-wide association studies have shown that a disintegrin and metalloproteinase with thrombospondin motifs 9 (ADAMTS-9) is associated with the development of atherosclerosis. We assessed the level of ADAMTS-9 in patients with coronary artery disease (CAD) and its severity and prognosis. We selected 666 participants who underwent coronary angiography in our hospital and met the inclusion and exclusion criteria; participants included non-CAD patients, patients with stable angina pectoris (SAP), unstable angina, non-ST-segment elevation myocardial infarction, or ST-segment elevation myocardial infarction. The serum level of ADAMTS-9 was higher in patients with CAD than in non-CAD patients (37.53 ± 8.55 ng/mL vs 12.04 ± 7.02 ng/mL, P < .001) and was an independent predictor for CAD (odds ratio = 1.871, 95% CI: 1.533-2.283, P < .001). Subgroup analysis showed that compared with the SAP group, the acute coronary syndrome groups had higher serum levels of ADAMTS-9. In addition, the level of ADAMTS-9 was related to the SYNTAX score (r = 0.523, P < .001). Patients with acute myocardial infarction (AMI) with elevated levels of ADAMTS-9 had a higher risk of major adverse cardiovascular events (MACE) within 12 months than those with lower levels (log-rank = 4.490, P = .034). Plasma ADAMTS-9 levels may be useful for the diagnosis of CAD and as predictors of MACE in AMI patients.

The impact of PSRC1 overexpression on gene and transcript expression profiling in the livers of ApoE-/- mice fed a high-fat diet.

Our previous studies have confirmed that proline/serine-rich coiled-coil 1 (PSRC1) overexpression can regulate blood lipid levels and inhibit atherosclerosis (AS) development. In the current study, the gene and transcript expression profiles in the livers of ApoE-/- mice overexpressing PSRC1 were investigated. HiSeq X Ten RNA sequencing (RNA-seq) analysis was used to examine the differentially expressed genes (DEGs) and differentially expressed transcripts in the livers of PSRC1-overexpressing ApoE-/- and control mice. Then, Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on these DEGs and on long noncoding RNA (lncRNA) predicted target genes. A total of 1892 significant DEGs were identified: 1431 were upregulated (e.g., Cyp2a4, Obp2a, and Sertad4), and 461 were downregulated (e.g., Moxd1, Egr1, and Elovl3). In addition, 8184 significant differentially expressed transcripts were identified, 4908 of which were upregulated and 3276 of which were downregulated. Furthermore, 1106 significant differentially expressed lncRNAs were detected, 713 of which were upregulated and 393 of which were downregulated. Quantitative reverse transcription PCR (qRT-PCR) verified changes in 10 randomly selected DEGs. GO analyses showed that the DEGs and predicted lncRNA target genes were mostly enriched for actin binding and lipid metabolism. KEGG biological pathway analyses showed that the DEGs in the livers of PSRC1-overexpressing ApoE-/- mice were enriched in the mitogen-activated protein kinase (MAPK) pathway. These findings reveal that PSRC1 may affect liver actin polymerization and cholesterol metabolism-related genes or pathways. These mRNAs and lncRNAs may represent new biomarkers and targets for the diagnosis and therapy of lipid metabolism disturbance and AS.

Association Between Serum LDL-C and ApoB and SYNTAX Score in Patients With Stable Coronary Artery Disease.

The aim of this study was to examine the relationship between low-density lipoprotein cholesterol (LDL-C) and apolipoprotein (Apo) B levels and the SYNergy between percutaneous coronary intervention with TAXus and cardiac surgery (SYNTAX) score (SS) in patients with stable angina pectoris. We enrolled 594 patients who were suspected to have coronary heart disease (CHD) and who underwent coronary angiography. Patients were divided into 4 groups based on the SS: normal (SS = 0, n = 154), low SS (SS ≤ 22, n = 210), intermediate SS (22 < SS < 32, n = 122), and high SS (SS ≥ 33, n = 63). Positive correlations between lipoprotein (a), LDL-C, ApoB, total cholesterol, and SS were significant ( r = 0.132, 0.632, 0.599, and 0.313, respectively; P < .01), whereas high-density lipoprotein cholesterol (HDL-C), ApoA1, and ApoA1/ApoB levels showed a significant negative correlation ( r = -0.29, -0.344, and -0.561, respectively; P < .01). Multivariate linear regression analysis revealed that LDL-C, ApoB, ApoA1/ApoB, fibrinogen (Fg), and HDL-C levels had an effect on SS (standardized regression coefficients were 0.41, 0.29, -0.12, 0.08, and -0.09, respectively; P < .05). In conclusion, LDL-C, ApoB, ApoA1/ApoB, Fg, and HDL-C levels affected the SS and were predictors of CHD complexity.