Project description:This SuperSeries is composed of the following subset Series: GSE40184: The blood transcriptional signature of chronic HCV [Affymetrix data] GSE40223: The blood transcriptional signature of chronic HCV [Illumina data] Refer to individual Series
Project description:This study characterizes the effects of chronic Hepatitis C virus (HCV) infection on gene expression by analyzing blood samples from 10 treatment-naive HCV patients and 6 healthy volunteers. Differential expression analysis of microarray data from peripheral blood mononuclear cells (PBMCs) identified a 136 gene signature, including 66 genes elevated in infected individuals. Most of the up-regulated genes were associated with interferon (IFN) activity (including members of the OAS and MX families, ISG15 and IRF7), suggesting an ongoing immune response. This HCV signature was also found to be consistently enriched in many other viral infection and vaccination datasets. Validation of these genes was carried out using a second cohort composed of 5 HCV patients and 5 healthy volunteers, confirming the up-regulation of the IFN signature. In summary, this is the first study to directly compare blood transcriptional profiles from HCV patients with healthy controls. The results show that chronic HCV infection has a pronounced effect on gene expression in PBMCs of infected individuals, and significantly elevates the expression of a subset of interferon-stimulated genes. Whole blood was collected from a group of 10 patients who were infected with genotype 1 hepatitis C, before initiation of treatment at the Indiana University School of Medicine. Control blood samples were harvested from healthy student volunteers. Peripheral blood mononuclear cells (PBMCs) were isolated from the whole blood samples of the cohort using centrifugation through a 10-ml Ficoll-Hypaque gradient (Amersham/Pharmacia, Piscataway, NJ), and RNA was isolated within a few hours. RNA was then processed according to the protocols recommended by Affymetrix (Santa Clara, CA), and run on an Affymextrix Human Genome U133 array.
Project description:This study characterizes the effects of chronic Hepatitis C virus (HCV) infection on gene expression by analyzing blood samples from 10 treatment-naive HCV patients and 6 healthy volunteers. Differential expression analysis of microarray data from peripheral blood mononuclear cells (PBMCs) identified a 136 gene signature, including 66 genes elevated in infected individuals. Most of the up-regulated genes were associated with interferon (IFN) activity (including members of the OAS and MX families, ISG15 and IRF7), suggesting an ongoing immune response. This HCV signature was also found to be consistently enriched in many other viral infection and vaccination datasets. Validation of these genes was carried out using a second cohort composed of 5 HCV patients and 5 healthy volunteers, confirming the up-regulation of the IFN signature. In summary, this is the first study to directly compare blood transcriptional profiles from HCV patients with healthy controls. The results show that chronic HCV infection has a pronounced effect on gene expression in PBMCs of infected individuals, and significantly elevates the expression of a subset of interferon-stimulated genes.
Project description:This study characterizes the effects of chronic Hepatitis C virus (HCV) infection on gene expression by analyzing blood samples from 10 treatment-naive HCV patients and 6 healthy volunteers. Differential expression analysis of microarray data from peripheral blood mononuclear cells (PBMCs) identified a 136 gene signature, including 66 genes elevated in infected individuals. Most of the up-regulated genes were associated with interferon (IFN) activity (including members of the OAS and MX families, ISG15 and IRF7), suggesting an ongoing immune response. This HCV signature was also found to be consistently enriched in many other viral infection and vaccination datasets. Validation of these genes was carried out using a second cohort composed of 5 HCV patients and 5 healthy volunteers, confirming the up-regulation of the IFN signature. In summary, this is the first study to directly compare blood transcriptional profiles from HCV patients with healthy controls. The results show that chronic HCV infection has a pronounced effect on gene expression in PBMCs of infected individuals, and significantly elevates the expression of a subset of interferon-stimulated genes.
Project description:This study characterizes the effects of chronic Hepatitis C virus (HCV) infection on gene expression by analyzing blood samples from 10 treatment-naive HCV patients and 6 healthy volunteers. Differential expression analysis of microarray data from peripheral blood mononuclear cells (PBMCs) identified a 136 gene signature, including 66 genes elevated in infected individuals. Most of the up-regulated genes were associated with interferon (IFN) activity (including members of the OAS and MX families, ISG15 and IRF7), suggesting an ongoing immune response. This HCV signature was also found to be consistently enriched in many other viral infection and vaccination datasets. Validation of these genes was carried out using a second cohort composed of 5 HCV patients and 5 healthy volunteers, confirming the up-regulation of the IFN signature. In summary, this is the first study to directly compare blood transcriptional profiles from HCV patients with healthy controls. The results show that chronic HCV infection has a pronounced effect on gene expression in PBMCs of infected individuals, and significantly elevates the expression of a subset of interferon-stimulated genes. Treatment-naM-CM-/ve HCV patients were recruited by hepatologists in the outpatient hepatitis clinic within the Yale Liver Center. Healthy volunteers were recruited from YaleM-bM-^@M-^Ys PhenoGenetic Cohort of Healthy controls. PBMCs were isolated from whole blood by density gradient centrifugation using Ficoll-Paque (GE Healthcare) centrifugation. Total RNA was isolated from PBMCs using an RNeasy kit (Qiagen, Valencia, CA), and the quality of total RNA was evaluated by A260/A280 ratio and by electrophoresis on an Agilent Bioanalyzer. All subsequent processing, hybridization to the Illumina HumanHT-12 microarray, and quality control analyses were carried out by the Yale Center for Genome Analysis using standard protocols.
Project description:Hepatitis C virus (HCV) remains a significant public health threat as new 1.75 million HCV infections emerged worldwide. The majority of these infections become persistently infected, while around 30 % spontaneously eliminate the virus. Clinical factors for viral clarification are related to HCV interaction with host immune system, but little is known about the consequences after HCV spontaneous resolution. These individuals are difficult to recruit and study as acute infection is usually asymptomatic, and they will not be identified unless it progress to chronic infection. The study of peripheral blood mononuclear cells (PBMCs) of these patients is crucial, as PBMCs are one of the main HCV extrahepatic reservoirs, and its transcriptional profile provide us information of innate and adaptive immune response against HCV infection. Our research shows novel insight on molecular consequences of spontaneous resolution after an acute HCV infection. 96 Individuals with different HCV exposure status were recruited: spontaneous resolved, chronic infected and healthy controls; and the microRNA profile of their PBMCs were analyzed. Our results indicate similar disruption of miRNA expression on HCV chronic patients and those who spontaneously clarified the infection, compared to control patients. The disrupted miRNAs formed a signature of 21 miRNAs that mainly regulate lipid metabolism. This is the first report showing miRNA profile similarities between chronic HCV patients and spontaneous resolved individuals. Thus, our results suggest that HCV infection promotes molecular alterations in PBMCs that will last longer after HCV spontaneous eradication. This evidences open up new prospects in the management of individuals who spontaneously clarified infection, as they should be monitored and followed to dismiss future HCV-related complications, such us liver diseases complications. The identified miRNA signature could be used as biomarker to monitor HCV fingerprint on HCV-exposed patients.