Can Glypican-6 Level Predict Ejection Fraction Decline After Myocardial Infarction?

Combined Use of Serum N-terminal Pro-B-Type Natriuretic Peptide and Glypican-6 in the Diagnosis of Heart Failure

OBJECTIVE

The aim of this study was to investigate the efficacy of serum glypican-6 (GPC-6) levels and the combination of N-terminal pro-B-type natriuretic peptide (NT-ProBNP) and GPC-6 in the diagnosis of heart failure (HF).

METHODS

In this prospective study, patients older than 18 years of age, admitted to the emergency department of our hospital between December 2021 and April 2022, diagnosed with heart failure (patient group), and healthy volunteers with similar sociodemographic characteristics (control group) were included. The disease severity classification of the patient group was made according to the 2021 ESC guidelines, using echocardiographic findings. Serum GPC-6 and NT-ProBNP levels were measured by the enzyme-linked immunosorbent assay (ELISA) method, which determines the antigen-antibody relationship. Optimal GPC-6 and NT-ProBNP levels for the diagnosis of HF were determined by receiver operating characteristic (ROC) analysis. The patients were divided into three groups according to these levels. Group 1 consisted of patients with both markers below the cutoff values, Group 2 consisted of patients with either of these markers above the cutoff values, and Group 3 consisted of patients with both markers above the cutoff values.

RESULTS

The study included 65 heart failure patients and 20 healthy volunteers. When the patient and control groups were compared in terms of serum GPC-6 and serum NT-ProBNP levels, both parameters were evaluated as significantly higher in the patient group (p=0.038 and p<0.001; respectively). In the ROC analysis, it was determined that GPC-6 indicated HF with 58.46% sensitivity and 75% specificity for an optimal cutoff value of 390 pg/ml. In the ROC analysis, it was determined that serum NT-ProBNP indicated HF with 89.23% sensitivity and 70% specificity for an optimal cutoff value of 122 pg/ml. When the groups were compared according to the rate of HF, it was found to be higher in Group 3 compared to Group 2 (97.1% vs. 70.3%, p<0.002) and Group 1 (97.1% vs. 38.5%, p<0.001). This rate was seen to be significantly higher in Group 2 compared to Group 1 (70.3% vs. 38.5%, p=0.042).

CONCLUSION

The combination of GPC-6 and NT-ProBNP may help diagnose HF patients admitted to the emergency department.

Predicting protective gene biomarker of acute coronary syndrome by the circRNA-associated competitive endogenous RNA regulatory network

Background: The mortality and disability rates of acute coronary syndrome (ACS) are quite high. Circular RNA (circRNA) is a competitive endogenous RNA (ceRNA) that plays an important role in the pathophysiology of ACS. Our goal is to screen circRNA-associated ceRNA networks for biomarker genes that are conducive to the diagnosis or exclusion of ACS, and better understand the pathology of the disease through the analysis of immune cells. Materials and methods: RNA expression profiles for circRNAs (GSE197137), miRNAs (GSE31568), and mRNAs (GSE95368) were obtained from the GEO database, and differentially expressed RNAs (DEcircRNAs, DEmiRNAs, and DEmRNAs) were identified. The circRNA-miRNA and miRNA-mRNA regulatory links were retrieved from the CircInteractome database and TargetScan databases, respectively. As a final step, a regulatory network has been designed for ceRNA. On the basis of the ceRNA network, hub mRNAs were verified by quantitative RT-PCR. Hub genes were validated using a third independent mRNA database GSE60993, and ROC curves were used to evaluate their diagnostic values. The correlation between hub genes and immune cells associated with ACS was then analyzed using single sample gene set enrichment analysis (ssGSEA). Results: A total of 17 DEcircRNAs, 229 DEmiRNAs, and 27 DEmRNAs were found, as well as 52 circRNA-miRNA pairings and 10 miRNA-mRNA pairings predicted. The ceRNA regulatory network (circRNA-miRNA-mRNA) was constructed, which included 2 circRNA (hsa_circ_0082319 and hsa_circ_0005654), 4 miRNA (hsa-miR-583, hsa-miR-661, hsa-miR-671-5p, hsa-miR-578), and 5 mRNA (XPNPEP1, UCHL1, DBNL, GPC6, and RAD51). The qRT-PCR analysis result showed that the XPNPEP1, UCHL1, GPC6 and RAD51 genes had a significantly decreased expression in ACS patients. Based on ROC curve analysis, we found that XPNPEP1 has important significance in preventing ACS occurrence and excluding ACS diagnosis. ACS immune infiltration analysis revealed significant correlations between the other 3 hub genes (UCHL1, GPC6, RAD51) and the immune cells (Eosinophils, T folliculars, Type 2 T helper cells, and Imumature dendritic cells). Conclusion: Our study constructed a circRNA-related ceRNA network in ACS. The XPNPEP1 gene could be a protective gene biomarker for ACS. The UCHL1, GPC6 and RAD51 genes were significantly correlated with immune cells in ACS.

The role of the glypican and syndecan families of heparan sulfate proteoglycans in cardiovascular function and disease

Heparan sulfate proteoglycans (HSPGs) are proteoglycans formed by a core protein to which one or multiple heparan sulfate chains are covalently bound. They are ubiquitously expressed in cellular surfaces and can be found in the extracellular matrix and secretory vesicles. The cellular effects of HSPGs comprehend multiple functionalities that include 1) the interaction with other membrane surface proteins to act as a substrate for cellular migration, 2) acting as a binding site for circulating molecules, 3) to have a receptor role for proteases, 4) to act as a coreceptor that can provide finetuning of growth factor receptor activity threshold, and 5) to activate intracellular signaling pathways (Sarrazin S, Lamanna WC, Esko JD. Cold Spring Harb Perspect Biol 3: a004952, 2011). Among the different families of HSPGs, the syndecan and glypican families of HSPGs have gained increased attention in relation to their effects on cardiovascular cells and potential role in disease progression. In this review, we will summarize the effects of syndecan and glypican homologs on the different cardiovascular cell types and discuss their contribution to common processes found in cardiovascular diseases (inflammation, hypertrophy, and vascular remodeling) as well as their potential role in the development and progression of specific diseases including hypertension, heart failure, and atherosclerosis.