CircSMARCC1 and CircLRBA are potential biomarkers in forensic postmortem diagnosis of acute myocardial infarction

HIF-1α expression by immunohistochemistry and mRNA-210 levels by real time polymerase chain reaction in post-mortem cardiac tissues: A pilot study

INTRODUCTION

The postmortem diagnosis of acute myocardial ischemia (AMI) represents a challenging issue in forensic practice. Immunohistochemical studies and gene expression studies are becoming a promising field of research in forensic pathology. The present study aims to evaluate HIF-1α expression through immunohistochemistry (IHC), and mRNA-210 level using real-time polymerase chain reaction (RT-PCR), in order to define if HIF-1α and mRNA-210 in post-mortem myocardium could be adopted in the diagnosis of AMI.

MATERIALS AND METHODS

Thirty-five deceased individuals, who underwent forensic autopsy at the Legal Medicine Service of the University of Parma, between 2010 and 2018, were investigated. The cohort was divided into two groups according to the cause of death (sudden deaths caused by AMI vs control cases). Cardiac specimens were collected during autopsy, then samples were processed for morphological evaluation using haematoxylin-eosin staining, for IHC, and for RT-PCR. HIF-1α expression and mRNA-210 levels were investigated.

RESULTS

Statistical evaluation demonstrated statistically significant differences in terms of number of IHC positive vessels, leukocytes, and cardiomyocytes between the two groups. Moreover, in the majority of cases, immunostaining positivity was observed only in myocardial and subendocardial samples. With reference to mRNA-210, the difference between the two groups proved to be statistically significant.

CONCLUSIONS

The present study indicates that HIF-1α and mRNA-210 in post-mortem cardiac specimens could represent appropriate biomarkers in the diagnosis of AMI. The current study was primarily limited by the scarcity of the cohort, so further research is required to confirm these preliminary observations.

Clinical Significance and Potential Mechanism of Circ_00008842 in Acute Myocardial Infarction

This study aimed to evaluate the clinical value of circ_0008842 in acute myocardial infarction (AMI) and explore the potential mechanisms.GSE149051 and GSE160717 datasets analyze common differentially expressed circRNAs (coDEcircRNA) in AMI. RT-qPCR analysis of circ_0008842 mRNA levels in patients with AMI. ROC curve assesses the diagnostic value of circ_0008842 in AMI. A cell model of AMI was constructed by hypoxia-reoxygenation (H/R) -induced H9c2. Cell viability and apoptosis were examined by CCK-8 and flow cytometry. Enzyme-linked immunosorbent assay was used to explore myocardial injury markers CK-MB and cTnI secretion. Dual luciferase reporter assays validate circ_0008842 binding to miRNA. PPI network and gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment reveal potential functions and pathways of targets from the miRNA in AMI.circ_0008842 is recognized as coDEcircRNA in AMI-related databases. circ_0008842 was greatly lower and miR-574-5p was significantly higher in patients with AMI than in healthy individuals. miR-574-5p is a target of circ_0008842. The sensitivity and specificity of circ_0008842 for diagnosing patients with AMI were 87.40% and 83.50%, respectively. Overexpression of circ_0008842 inhibited H/R induced apoptosis, increased cell viability, and decreased CK-MB and cTnI levels, which were partially abrogated by overexpression of miR-574-5p. Calmodulin-like protein 4 (CALML4) was the most connected hub gene in the PPI network of miR-574-5p predicted target genes.circ_0008842 is a diagnostic biomarker for AMI and participates in myocardial injury in AMI by regulating miR-574-5p. Our study provides new insights into the diagnosis for AMI.

Serum circRNA (Circ)_0051386 assists in the diagnosis of acute ST-segment elevation myocardial infarction and prediction of the occurrence of major adverse cardiovascular events after percutaneous coronary intervention

BACKGROUND

This study aimed to uncover the diagnostic value of circRNA (Circ)_0051386 in acute ST-segment elevation myocardial infarction (STEMI) and its predictive value for the occurrence of adverse major adverse cardiovascular events (MACEs).

METHODS

This study included 166 patients with STEMI and 83 health donors. The expression levels of serum Circ_0051386 in these participants were quantified using real-time quantitative polymerase chain reaction (RT-qPCR). Additionally, the incidence of MACEs during a 6-month follow-up period after percutaneous coronary intervention (PCI) was collected in the STEMI patient cohort.

RESULTS

Before and after propensity score matching (PSM), Circ_0051386 all had higher expression levels in the patients with STEMI than the normal subjects (all p < .001)and robust diagnosis values for the STEMI (AUC = 0.766, 0.779). Kaplan-Meier curves showed the high expression Circ_0051386 group had a higher occurrence rate of MACEs during a 6-month follow-up after PCI in patients with STEMI and this phenomenon was confirmed by internal validation (all p < .05). In addition, the multivariate COX regression showed gensini score (HR = 1.020, 95% CI = 1.002 - 1.038, p = .028) and Circ_0051386 (HR = 2.468, 95% CI =1.548-3.935, p < .001)were independent risk factors of the occurrence of MACEs in patients with STEMI after PCI. Pearson analysis presented that Circ_0051386 was positively correlated with gensini scores (r = 0.33), IL-1β (r = 0.55)and TNF-α(r = 0.41).

CONCLUSION

Our study indicated that Circ_0051386 is a biomarker of the diagnostic for STEMI and the predictor of the MACEs in STEMI patients after PCI. Its potential role in STEMI may be the regulation of inflammation in the vascular endothelial.

Diagnostic value of circRNA in coronary heart disease: a meta-analysis

Aim: Studies have indicated that circRNAs have diagnostic value for coronary heart disease (CHD), but the efficacy varies greatly; therefore, a meta-analysis was conducted to assess the diagnostic value of circRNAs in CHD. Materials & methods: 16 studies with 3962 subjects (2239 cases and 1723 controls) were included by searching PubMed, Web of Science and MEDLINE. The pooled sensitivity and specificity, summary receiver operating characteristic and area under the curve, positive likelihood ratio and negative likelihood ratio were calculated. Results: The pooled area under the curve of circRNAs for the diagnosis of CHD was 0.80 (sensitivity and specificity were 0.77 and 0.68, respectively), and more indexes were calculated. Conclusion: circRNAs may be good biomarkers for diagnosing CHD.