Comprehensive miRNA Expression Analysis in Peripheral Blood Can Diagnose Liver DiseaseReportar como inadecuado




Comprehensive miRNA Expression Analysis in Peripheral Blood Can Diagnose Liver Disease - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Background

miRNAs circulating in the blood in a cell-free form have been acknowledged for their potential as readily accessible disease markers. Presently, histological examination is the golden standard for diagnosing and grading liver disease, therefore non-invasive options are desirable. Here, we investigated if miRNA expression profile in exosome rich fractionated serum could be useful for determining the disease parameters in patients with chronic hepatitis C CHC.

Methodology

Exosome rich fractionated RNA was extracted from the serum of 64 CHC and 24 controls with normal liver NL. Extracted RNA was subjected to miRNA profiling by microarray and real-time qPCR analysis. The miRNA expression profiles from 4 chronic hepatitis B CHB and 12 non alcoholic steatohepatitis NASH patients were also established. The resulting miRNA expression was compared to the stage or grade of CHC determined by blood examination and histological inspection.

Principal Findings

miRNAs implicated in chronic liver disease and inflammation showed expression profiles that differed from those in NL and varied among the types and grades of liver diseases. Using the expression patterns of nine miRNAs, we classified CHC and NL with 96.59% accuracy. Additionally, we could link miRNA expression pattern with liver fibrosis stage and grade of liver inflammation in CHC. In particular, the miRNA expression pattern for early fibrotic stage differed greatly from that observed in high inflammation grades.

Conclusions

We demonstrated that miRNA expression pattern in exosome rich fractionated serum shows a high potential as a biomarker for diagnosing the grade and stage of liver diseases.



Autor: Yoshiki Murakami , Hidenori Toyoda, Toshihito Tanahashi, Junko Tanaka, Takashi Kumada, Yusuke Yoshioka, Nobuyoshi Kosaka, Takahir

Fuente: http://plos.srce.hr/



DESCARGAR PDF




Documentos relacionados