Dataset Information

Serum-Derived Neuronal Exosomal miRNAs as Biomarkers of Acute Severe Stress.

ABSTRACT: Stress is the physical and psychological tension felt by an individual while adapting to difficult situations. Stress is known to alter the expression of stress hormones and cause neuroinflammation in the brain. In this study, miRNAs in serum-derived neuronal exosomes (nEVs) were analyzed to determine whether differentially expressed miRNAs could be used as biomarkers of acute stress. Specifically, acute severe stress was induced in Sprague-Dawley rats via electric foot-shock treatment. In this acute severe-stress model, time-dependent changes in the expression levels of stress hormones and neuroinflammation-related markers were analyzed. In addition, nEVs were isolated from the serum of control mice and stressed mice at various time points to determine when brain damage was most prominent; this was found to be 7 days after foot shock. Next-generation sequencing was performed to compare neuronal exosomal miRNA at day 7 with the neuronal exosomal miRNA of the control group. From this analysis, 13 upregulated and 11 downregulated miRNAs were detected. These results show that specific miRNAs are differentially expressed in nEVs from an acute severe-stress animal model. Thus, this study provides novel insights into potential stress-related biomarkers.

SUBMITTER: Sung M

PROVIDER: S-EPMC8470330 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundAcute aortic dissection (AAD) is a serious and life-threatening cardiovascular emergency. This study aim to investigate whether MicroRNAs (miRNAs)in circulating exosomes could serve as novel diagnostic biomarkers for AAD.MethodsUsing miRNA microarray sequencing, the differentially expressed exosomal miRNAs between AAD patients and control subjects were found. In this study, we investigated 8 miRNAs (miR-499a-5p/miR-543/miR-143-3p/miR-4433b-3p/miR-744-5p/miR-4488/miR-202-3p/miR-206), 4 Proteins (Matrix Metalloprotein-9/12)/transforming growth factor-β/D-Dimer) in AAD (n = 75) and Control (n = 86) expression levels between the 2 groups. The combined diagnostic of exosomal miRNAs and Proteins was performed (area under curve [AUC] > 0.8, R > 0.5 and P < .01). The Receiver Operating Characteristic curve was drawn to evaluate the diagnostic efficacy. Predict the gene targets of differentially expressed miRNAs and analyze the functions and signaling pathways of these targets using online databases.ResultsThe exosomes isolated from the 2 groups of serum were bilayer membranes with a diameter of about 100 nm. Stably expressed in CD9, CD63 and TSG101. Compared with the control subjects, 8 exosomal miRNAs (miR-499a-5p, miR-543, miR-206, miR-143-3p, miR-4433b-3p, miR-744-5p, miR- 4488, and miR-202-3p) were regulated to varying degrees (P < .05). miR-499a-5p, miR-202-3p, and D-Dimer had higher diagnostic efficacy (AUC > 0.90). Among them, miR-499a-5p had the highest diagnostic accuracy, reaching 95%, AUC = 0.99. Co-diagnosis of positively correlated miRNAs and Proteins improves the diagnostic performance. The combined diagnostic accuracy of miR-499a-5p and miR-202-3p was 98% (AUC = 0.998), and the sensitivity and specificity were 98%. The combined diagnostic accuracy of miR-499a-5p and matrix metalloprotein-9 was 98% (AUC = 0.996), and the sensitivity and specificity were 98%. Gene Ontology (GO) enrichment analysis and Kyoto encyclopedia of genes and genomes signaling pathway analysis, some predicted targets of these miRNAs are involved in the pathophysiological process of AAD.ConclusionSerum exosomal miR-499a-5p, miR-143-3p, and miR-202-3p can be used as potential diagnostic biomarkers for AAD, and the combination of various markers can coordinate and complement each other, and can significantly improve the diagnosis of aortic dissection sensitivity and specificity.

Project description:The incidence of hypertriglyceridemia induced acute pancreatitis (HTAP) continues to rise in China. It has systemic complications and high mortality, making the early assessment of the severity of this disease even more important. Circulating microRNAs (miRNAs) could be novel, non-invasive biomarkers for disease progression judgment. This study aimed to identify the potential role of serum miRNAs as novel biomarkers of HTAP progression. HTAP patients were divided into two groups: moderately severe (HTMSAP) and severe (HTSAP), healthy people were used as control group. The serum miRNA expression profiles of these three groups were determined by microarray and verified by qRT-PCR. The functions and pathways of the targeted genes of deregulated miRNAs were predicted, using bioinformatics analysis; miRNA-mRNA network was generated. Moreover, the correlation between miR-181a-5p and pancreatitis metabolism related substances were studied and the serum concentration of inflammatory cytokines and miRNAs at different time points during the MSAP and SAP were investigated, respectively. Finally, the receiver operating characteristic (ROC) curve of miRNAs was studied. Significant changes in the serum concentration of the following miRNAs of HTAP patients (P<0.05) were discovered: miR24-3p, 361-5p, 1246, and 222-3p (constantly upregulated), and 181a-5p (constantly downregulated) (P<0.05). Bioinformatics analysis predicted that 13 GOs and 36 pathways regulated by overlap miRNAs were involved in glucose, fat, calcium (Ca++), and insulin metabolism (P<0.001). miRNA-mRNA network revealed that the overlap miRNAs targeted genes participating in pancreas metabolism and miR-181a-5p, the only downregulated miRNA, had good negative correlation with triglyceride (TG), total cholesterol (TC), and fast blood glucose (FBG), but a positive correlation with Ca++. When compared with inflammatory cytokines, the changes of all five overlap miRNAs were more stable. It was found that when used for evaluating the progression of HTAP, miRNAs showed good AUC. These data suggested that serum miRNAs have the potential to be excellent HTAP biomarkers.

Dataset Information

Serum-Derived Neuronal Exosomal miRNAs as Biomarkers of Acute Severe Stress.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets