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 explore the early diaghostic value of thyroid hormone level in patients with left ventricular diastolic dysfunction. Methods: Our work included 4 groups:①Normal control group, n=40,②Impaired left ventricular diastolic function group, n=40,③Failure of left ventricular diastolic function group, n=41 and④Impaired left ventricular systolic function group, n=40. The cardiac function was assessed by color Doppler lfow imaging and tissue Doppler imaging for the early diastolic mitral lfow velocity (E), the peak early diastolic mitral annular velocity (Em) and the ratio of E/Em. The blood levels of NT-proBNP and FT3, FT4, TSH, rT3 were examined in clinical laboratory. Results: Blood levels of FT3 and rT3 were different in pair wise comparison among 4 groups, P0.05. The ratio of E/Em was negatively related to FT3 (r=-0.724, P Conclusion: The changes of thyroid hormone level may exist in patients with impaired diastolic function and it may vary with the severity of the cardiac dysfunction. Blood levels of NT-proBNP with thyroid hormone might be used as a reference index for early diagnosis of diastolic dysfunction.
ABSTRACT
Serum total and free thyroid hormone concentrations were in 45 newborns, their preg- nant mothers and in 30 nonpregnant women. The levels of serum TT4, TT3, FT4, FT3 in newborns (umbilical cord serum) were significantly lower than those in pregnant mothers at term (P