RESUMEN
Accumulating evidence suggests that circular RNAs have the abilities to regulate gene expression during the progression of sepsis-associated acute kidney injury. Circular RNA VMA21 (circVMA21), a recent identified circular RNA, could reduce apoptosis to alleviate intervertebral disc degeneration in rats and protect WI-38 cells from lipopolysaccharide-induced injury. However, the role of circVMA21 in sepsis-associated acute kidney injury (sepsis-associated AKI) is unknown. In this study, we first demonstrated that circVMA21 alleviated sepsis-associated AKI by reducing apoptosis and inflammation in rats and HK-2 cells. Additionally, to explore the molecule mechanism underlying the amelioration, after the bioinformatics analysis, we confirmed that miR-9-3p directly bound to circVMA21 by luciferase and RNA immunoprecipitation assay, and the effector protein of miR-9-3p was SMG1. Furthermore, the oxidative stress caused by sepsis-associated AKI was down-regulated by circVMA21. In conclusion, circVMA21 plays an important role in the regulating sepsis-associated AKI via adjusting miR-9-39/SMG1/inflammation axis and oxidative stress.
Asunto(s)
Lesión Renal Aguda/complicaciones , Inflamación/genética , MicroARNs/genética , Estrés Oxidativo/genética , Proteínas Serina-Treonina Quinasas/metabolismo , ARN Circular/metabolismo , Sepsis/complicaciones , Transducción de Señal , Lesión Renal Aguda/genética , Animales , Apoptosis , Secuencia de Bases , Ciego/patología , Línea Celular , Modelos Animales de Enfermedad , Humanos , Ligadura , Lipopolisacáridos , MicroARNs/metabolismo , Punciones , ARN Circular/genética , Ratas Wistar , Sepsis/genéticaRESUMEN
Acute myocardial infarction (AMI) is a common disease with serious consequences in mortality and cost. Here we aim to screen the differentially expressed genes (DEGs) as biomarkers for early diagnosis of AMI. The microarray data of AMI was downloaded from Gene Expression Omnibus (GEO), including two independent types of research GSE66360 and GSE62646. The DEGs between control and processed samples were screened out by using limma package. Meanwhile, we performed functional analysis of GO terms and/or KEGG pathways to observe the enriched pathways of the DEGs. Finally, regression analysis of raw data was performed by using packet affyPLM in R language. Dataset GSE62646 contained 53 DEGs (FC log2>1 and P value <0.05) between first-day samples from 28 STEMI patients and control samples from 14 patients without myocardial infarction history. There were 12 up-regulated and 41 down-regulated genes, 35 DEGs annotated. In GSE66360, a total of 3034 DEGs between 32 AMI patients and 38 healthy persons were obtained, including 1861 up-regulated and 1173 down-regulated DEGs. The comparison of the DEGs in two datasets revealed four common up-regulated genes (EGR1, STAB1, SOCS3, TMEM176A). In enrichment analysis, STAB1, SOCS3, EGR1 involved in metabolic regulation and signaling pathways related to coronary artery disease with a characteristic change (P < 0.05). The DEGs, especially the four up-regulated common genes, could serve as biomarkers for early diagnosis of AMI. Additionally, the relative biological pathways these DEGs enriched in might provide a good reference to explore the molecular expression mechanism of AMI. J. Cell. Biochem. 119: 650-658, 2018. © 2017 Wiley Periodicals, Inc.
Asunto(s)
Biomarcadores de Tumor/genética , Detección Precoz del Cáncer/métodos , Redes Reguladoras de Genes , Infarto del Miocardio/diagnóstico , Biología Computacional , Bases de Datos Genéticas , Perfilación de la Expresión Génica/métodos , Regulación de la Expresión Génica , Predisposición Genética a la Enfermedad , Humanos , Infarto del Miocardio/genética , Análisis de Secuencia por Matrices de Oligonucleótidos/métodos , Análisis de RegresiónRESUMEN
OBJECTIVE: To evaluate the prognostic value of the Prehospital Index (PHI) for hospitalized patients with acute trauma. MATERIALS AND METHODS: PHI score and the Injury Severity Score (ISS) were determined in 1,802 hospitalized patients with acute trauma. Receiver-operator characteristic (ROC) curves were used to compare the PHI and ISS in subgroups, and corresponding prediction indicators were calculated. RESULTS: There were significant differences in PHI score and ISS between the survival group and the death group (Z=2.674, P=0.007). The area under the ROC curve was 0.871 (95% CI 0.855-0.886) for PHI score and 0.792 (95% CI 0.773-0.811) for ISS. Optimal cutoff points to determine the risk of critical illness were PHI ≥4 and ISS ≥22. The sensitivity of the PHI was superior to the ISS (χ2=6.975, P=0.008), but the specificity and the accuracy of the PHI and ISS showed no significant difference (P>0.05). CONCLUSION: The PHI is valuable in prognostic prediction of hospitalized patients with acute trauma, and it is superior to the ISS. The PHI has such advantages as being simple in operation, easy to learn, capable of reflecting conditions timely and reliably, and suitable for dynamic evaluation and screening for critical patients with trauma.