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Analysis of the differential expression of circulating microRNAs during the progression of hepatic fibrosis in patients with chronic hepatitis B virus infection.

Zhang Q, Xu M, Qu Y, Li Z, Zhang Q, Cai X, Lu L - Mol Med Rep (2015)

Bottom Line: Finally, the target genes of the miRNAs were predicted and classified using gene ontology analysis.A total of 140 miRNAs were detected in the S1‑S4 patient groups, and their expression levels were >2‑fold higher compared with those in the S0 group.The numbers of miRNAs differentially expressed in the S1‑S4 patient groups were 48, 97, 84 and 56, respectively, with 12 miRNAs differentially expressed at all stages, 10 of which were upregulated and two of which were downregulated.

View Article: PubMed Central - PubMed

Affiliation: Department of Gastroenterology, Shanghai First People's Hospital, Shanghai Jiao‑Tong University School of Medicine, Shanghai 200080, P.R. China.

ABSTRACT
Considering the limitations of liver biopsy, reliable non‑invasive serum biomarkers of liver fibrosis are required for early diagnosis. The present study analyzed the expression profile of circulating micro (mi)RNAs during the development and progression of hepatic fibrosis in patients with chronic hepatitis B virus (HBV) infection, aiming to identify novel earlier diagnostic biomarkers. Fresh plasma samples were collected from 50 patients diagnosed with chronic HBV infection and hepatic fibrosis. These patients were classified into five groups (S0, S1, S2, S3 and S4; n=10 per group) based on Scheuer's staging criteria. The differential expression of the circulating miRNAs was determined by performing miRNA microarray hybridization. Finally, the target genes of the miRNAs were predicted and classified using gene ontology analysis. A total of 140 miRNAs were detected in the S1‑S4 patient groups, and their expression levels were >2‑fold higher compared with those in the S0 group. The numbers of miRNAs differentially expressed in the S1‑S4 patient groups were 48, 97, 84 and 56, respectively, with 12 miRNAs differentially expressed at all stages, 10 of which were upregulated and two of which were downregulated. The target genes of the miRNAs identified were found to be involved in 100 signal transduction pathways, the majority of which affected hepatic fibrosis via the TGF‑/Smad, Wnt, MAPK, Jak/STAT and VEGF pathways. The differential expression levels of miRNAs were closely associated with the staging of hepatic fibrosis. The results of the present study provide evidence to facilitate the development and application of non‑invasive biomarkers for earlier diagnosis of hepatic fibrosis.

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Cluster analysis of differentially expressed miRNAs in different Scheuer's stages. The horizontal axis represents different Scheuer stages (S0–S4), the vertical axis indicates the differentially expressed miRNAs. The intensity of the miRNA expression is indicated in green (lower level of expression) and red (higher level of expression).
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f2-mmr-12-04-5647: Cluster analysis of differentially expressed miRNAs in different Scheuer's stages. The horizontal axis represents different Scheuer stages (S0–S4), the vertical axis indicates the differentially expressed miRNAs. The intensity of the miRNA expression is indicated in green (lower level of expression) and red (higher level of expression).

Mentions: Surveillance-based cluster analysis was performed using the method of Euclidean Distance to analyze the miRNAs with different expression levels in terms of hepatic fibrosis. A hierarchical cluster graph of the miRNAs with different expression levels and fibrosis grouping revealed the characteristics of the expression levels of miRNA in different Scheuer stages. The plasma samples with lower levels of fibrosis, according to Scheuer's criteria, were concentrated to the left of the graph. The plasma samples with higher levels of fibrosis, according to Scheuer's criteria, were concentrated to the right of the graph. As shown in Figs. 1 and 2, the intensity of miRNA expression is highlighted in green (lower level of expression) and red (higher level of expression).


Analysis of the differential expression of circulating microRNAs during the progression of hepatic fibrosis in patients with chronic hepatitis B virus infection.

Zhang Q, Xu M, Qu Y, Li Z, Zhang Q, Cai X, Lu L - Mol Med Rep (2015)

Cluster analysis of differentially expressed miRNAs in different Scheuer's stages. The horizontal axis represents different Scheuer stages (S0–S4), the vertical axis indicates the differentially expressed miRNAs. The intensity of the miRNA expression is indicated in green (lower level of expression) and red (higher level of expression).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4581744&req=5

f2-mmr-12-04-5647: Cluster analysis of differentially expressed miRNAs in different Scheuer's stages. The horizontal axis represents different Scheuer stages (S0–S4), the vertical axis indicates the differentially expressed miRNAs. The intensity of the miRNA expression is indicated in green (lower level of expression) and red (higher level of expression).
Mentions: Surveillance-based cluster analysis was performed using the method of Euclidean Distance to analyze the miRNAs with different expression levels in terms of hepatic fibrosis. A hierarchical cluster graph of the miRNAs with different expression levels and fibrosis grouping revealed the characteristics of the expression levels of miRNA in different Scheuer stages. The plasma samples with lower levels of fibrosis, according to Scheuer's criteria, were concentrated to the left of the graph. The plasma samples with higher levels of fibrosis, according to Scheuer's criteria, were concentrated to the right of the graph. As shown in Figs. 1 and 2, the intensity of miRNA expression is highlighted in green (lower level of expression) and red (higher level of expression).

Bottom Line: Finally, the target genes of the miRNAs were predicted and classified using gene ontology analysis.A total of 140 miRNAs were detected in the S1‑S4 patient groups, and their expression levels were >2‑fold higher compared with those in the S0 group.The numbers of miRNAs differentially expressed in the S1‑S4 patient groups were 48, 97, 84 and 56, respectively, with 12 miRNAs differentially expressed at all stages, 10 of which were upregulated and two of which were downregulated.

View Article: PubMed Central - PubMed

Affiliation: Department of Gastroenterology, Shanghai First People's Hospital, Shanghai Jiao‑Tong University School of Medicine, Shanghai 200080, P.R. China.

ABSTRACT
Considering the limitations of liver biopsy, reliable non‑invasive serum biomarkers of liver fibrosis are required for early diagnosis. The present study analyzed the expression profile of circulating micro (mi)RNAs during the development and progression of hepatic fibrosis in patients with chronic hepatitis B virus (HBV) infection, aiming to identify novel earlier diagnostic biomarkers. Fresh plasma samples were collected from 50 patients diagnosed with chronic HBV infection and hepatic fibrosis. These patients were classified into five groups (S0, S1, S2, S3 and S4; n=10 per group) based on Scheuer's staging criteria. The differential expression of the circulating miRNAs was determined by performing miRNA microarray hybridization. Finally, the target genes of the miRNAs were predicted and classified using gene ontology analysis. A total of 140 miRNAs were detected in the S1‑S4 patient groups, and their expression levels were >2‑fold higher compared with those in the S0 group. The numbers of miRNAs differentially expressed in the S1‑S4 patient groups were 48, 97, 84 and 56, respectively, with 12 miRNAs differentially expressed at all stages, 10 of which were upregulated and two of which were downregulated. The target genes of the miRNAs identified were found to be involved in 100 signal transduction pathways, the majority of which affected hepatic fibrosis via the TGF‑/Smad, Wnt, MAPK, Jak/STAT and VEGF pathways. The differential expression levels of miRNAs were closely associated with the staging of hepatic fibrosis. The results of the present study provide evidence to facilitate the development and application of non‑invasive biomarkers for earlier diagnosis of hepatic fibrosis.

Show MeSH
Related in: MedlinePlus