ABSTRACT
Abstract Background: The strain parameters of Real-Time Three-Dimensional Spot Tracking Echocardiography (RT3D-STE) are GLS, GAS, GRS, and GCS, while each index can significantly diagnose Acute Myocardial Infarction (AMI) patients, but none of them can distinguish between NSTEMI and STEMI. MicroRNAs (miRNAs) play essential roles in Acute Myocardial Infarction (AMI), but little is known about the value of exosome miRNA combined with RealTime Three-Dimensional Spot Tracking Echocardiography (RT3D-STE) between ST-segment Elevation Myocardial Infarction (STEMI) and Non-ST-segment Elevation Myocardial Infarction (NSTEMI). Aim: To estimate the exosomal miRNAs related to strain parameters of RT3D-STE as biomarkers for early detection of STEMI and NSTEMI. Methods: The present study collected plasma samples from thirty-four (34) patients with AMI (including STEMI and NSTEMI) and employed high-throughput sequence technology and real-time quantitative polymerase chain reaction (RT-qPCR) to identify the differentially expressed miRNAs. The Pearson correlation coefficient is used to measure the strength of a linear association between differentially expressed miRNAs and strain parameters of RT3D-STE. Results: Twenty-eight (28) differentially expressed exosomal miRNAs were universally identified between STEMI, NSTEM, and normal groups. Among them, there are 10 miRNAs (miR-152-5p, miR-3681-5p, miR-193a-5p, miR-193b-5p miR-345-5p, miR-125a-5p, miR-365a-3p, miR-4520-2-3p, hsa-miR-193b-3p and hsa-miR-5579-5p) with a Pearson correlation greater than 0.6 with RT3D-STE strain parameters. Especially, miR-152-5p and miR-3681-5p showed the most significant correlation with RT3D-STE strain parameters. Target genes of these 10 miRNAs are analyzed for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment, and they were found to be mainly involved in the cellular metabolism processes and HIF-1 signaling pathway. RT-qPCR verified the significant differential expression of miR-152-5p and miR-3681-5p between STEMI and NSTEM groups. Conclusion: RT3D-STE and exosome miRNAs can be used as a hierarchical diagnostic system in AMI. If the RT3D-STE is abnormal, the exosome miRNAs can be detected again to obtain more detailed and accurate diagnostic results between STEMI and NSTEM groups. Exosomal miR-152-5p and miR-3681-5p may serve as potential biomarkers for ST-segment elevation myocardial infarction. HIGHLIGHTS RT3D-STE and exosome miRNAs can be used as a hierarchical diagnostic system in AMI. Exosomal miR-152-5p and miR-3681-5p function as potential biomarkers for ST-segment elevation myocardial infarction.
ABSTRACT
@#Objective: To prepare the fusion protein mGM-CSF-GnRH3 (mGGn) of mouse granulocyte-macrophage colony stimulating factor (mGM-CSF) combining with gonadotropin releasing hormone (GnRH) and the fusion protein mGM-CSF-GRP6 (mG6) of mGM-CSF combining with gastrin-releasing peptide (GRP), and to investigate the inhibitory effect of the above two fusion proteins on B16F10 melanoma in vitro as well as to preliminarily predict their isoelectric point, relative molecular weight, hydrophobicity, stability, subcellular localization, signal peptide, spatial structure and potential epitopes. Methods:After the successful preparation of mGGn and mG6, the effects of different concentrations of fusion proteins on tumor cell morphology, migration, proliferation and cell cycle were detected by microscopic observation, scratch test, CCK-8 method and flow cytometry, respectively. The protein online analysis systems EXPASY, GOR4, SWISS MODEL were used to predict the basic properties and secondary/tertiary structure of recombinant fusion proteins. The B cell epitopes were predicted by IEDB and ABCpred software, the CTL epitopes were comprehensively predicted by SYFPEITHI, BlMAS and NetCTL software, and the Th epitopes were predicted by NetMHCIIpan 3.1 Server and IEDB software. Results:Both mGGn and mG6 inhibited the migration and proliferation of tumor cells. mGGn could block B16F10 cell cycle at G1 phase while mG6 could block B16F10 cell cycle at S phase, all of which prevented cells entering into G2 phase to inhibit tumor cell growth. The mGGn and mG6 fusion proteins got diverse structures and had multiple potential B epitopes, CTL epitopes and Th epitopes. Conclusion: mGGn and mG6 have inhibitory effect on B16F10 melanoma in vitro, and bioinformatics predictions have laid a foundation for further study of the biological functions and immunological activities of these fusion proteins.