Microbiome and decompensation
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB65371 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR11894906_1.fastq.gz | Fastqsanger.gz | |||
| ERR11894906_2.fastq.gz | Fastqsanger.gz | |||
| ERR11894907_1.fastq.gz | Fastqsanger.gz | |||
| ERR11894907_2.fastq.gz | Fastqsanger.gz | |||
| ERR11894908_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 176 |
Similar Datasets
Project description:Whole blood from 7 patients with stable cirrhosis, 7 patients with acutely decompensated cirrhosis without ACLF and 17 patients with ACLF (8 related to sepsis and 9 unrelated to sepsis) was sampled into tempus tubes (Applied biosystems, Ambion). The same method was used to sample whole blood from 7 healthy subjects and from 8 patients with septic shock without cirrhosis that were used as comparators.RNA was then extracted using the PerfectPure RNA blood kit (3 PRIME) according to manufactuter instructions. 100 ng of RNA per sample were then hybridized on Human Transcriptome Array 2.0
2021-02-24 | GSE142255 | GEO
Project description:A quantitative label-free proteome analysis was performed using plasma samples from 22 hepatitis-C virus (HCV)-induced liver cirrhosis patients, 16 HCV-positive hepatocellular carcinoma patients with underlying cirrhosis and 18 healthy controls. Plasma microparticles (PMPS) were isolated using ultracentrifugation and analyzed via label-free LC-MS/MS. A quantitative label-free proteome analysis was performed using plasma samples from 22 hepatitis-C virus (HCV)-induced liver cirrhosis patients, 16 HCV-positive hepatocellular carcinoma patients with underlying cirrhosis and 18 healthy controls. Plasma microparticles (PMPS) were isolated using ultracentrifugation and analyzed via label-free LC-MS/MS.
2017-06-21 | PXD005777 | Pride
Project description:PolyA-RNA sequencing on Peripheral Blood Mononuclear Cells of HIV/HCV coinfected patients with different cirrhosis states.
2023-02-28 | E-MTAB-12251 | biostudies-arrayexpress
Project description:A quantitative label-free proteome analysis was performed using plasma samples from 22 hepatitis-C virus (HCV)-induced liver cirrhosis patients, 16 HCV-positive hepatocellular carcinoma patients with underlying cirrhosis and 18 healthy controls. Plasma microparticles (PMPS) were isolated using ultracentrifugation and analyzed via label-free LC-MS/MS. A quantitative label-free proteome analysis was performed using plasma samples from 22 hepatitis-C virus (HCV)-induced liver cirrhosis patients, 16 HCV-positive hepatocellular carcinoma patients with underlying cirrhosis and 18 healthy controls. Plasma microparticles (PMPS) were isolated using ultracentrifugation and analyzed via label-free LC-MS/MS.
2020-03-12 | MSV000085094 | MassIVE
Project description:OBJECTIVE: The number of patients with HCV-related cirrhosis is increasing, leading to a rising risk of complications and death. Prognostic stratification in patients with early-stage cirrhosis is still challenging. We aimed to develop and validate a clinically useful prognostic index based on genomic and clinical variables to identify patients at high risk of disease progression. DESIGN: We developed a prognostic index, comprised of a 186-gene signature validated in our previous genome-wide profiling study, bilirubin (>1?mg/dL) and platelet count (<100?000/mm3), in an Italian HCV cirrhosis cohort (training cohort, n=216, median follow-up 10?years). The gene signature test was implemented using a digital transcript counting (nCounter) assay specifically developed for clinical use and the prognostic index was evaluated using archived specimens from an independent cohort of HCV-related cirrhosis in the USA (validation cohort, n=145, median follow-up 8?years). RESULTS: In the training cohort, the prognostic index was associated with hepatic decompensation (HR=2.71, p=0.003), overall death (HR=6.00, p<0.001), hepatocellular carcinoma (HR=3.31, p=0.001) and progression of Child-Turcotte-Pugh class (HR=6.70, p<0.001). The patients in the validation cohort were stratified into high-risk (16%), intermediate-risk (42%) or low-risk (42%) groups by the prognostic index. The high-risk group had a significantly increased risk of hepatic decompensation (HR=7.36, p<0.001), overall death (HR=3.57, p=0.002), liver-related death (HR=6.49, p<0.001) and all liver-related adverse events (HR=4.98, p<0.001). CONCLUSIONS: A genomic and clinical prognostic index readily available for clinical use was successfully validated, warranting further clinical evaluation for prognostic prediction and clinical trial stratification and enrichment for preventive interventions. 145 liver tissue needle biopsy specimens from U.S. HCV cirrhosis cohort patients with histologically proven cirrhosis lacking evidence and a history of hepatic decompensation or HCC.
2014-08-22 | E-GEOD-54100 | biostudies-arrayexpress
Project description:Pancreatic cancer is the 3rd most prevalent cause of cancer related deaths in United states alone, with over 55000 patients being diagnosed in 2019 alone and nearly as many succumbing to it. Late detection, lack of effective therapy and poor understanding of pancreatic cancer systemically contributes to its poor survival statistics. Obesity and high caloric intake linked co-morbidities like type 2 diabetes (T2D) have been attributed as being risk factors for a number of cancers including pancreatic cancer. Studies on gut microbiome has shown that lifestyle factors as well as diet has a huge effect on the microbial flora of the gut. Further, modulation of gut microbiome has been seen to contribute to effects of intensive insulin therapy in mice on high fat diet. In another study, abnormal gut microbiota was reported to contribute to development of diabetes in Db/Db mice. Recent studies indicate that microbiome and microbial dysbiosis plays a role in not only the onset of disease but also in its outcome. In colorectal cancer, Fusobacterium has been reported to promote therapy resistance. Certain intra-tumoral bacteria have also been shown to elicit chemo-resistance by metabolizing anti-cancerous agents. In pancreatic cancer, studies on altered gut microbiome have been relatively recent. Microbial dysbiosis has been observed to be associated with pancreatic tumor progression. Modulation of microbiome has been shown to affect response to anti-PD1 therapy in this disease as well. However, most of the studies in pancreatic cancer and microbiome have remained focused om immune modulation. In the current study, we observed that in a T2D mouse model, the microbiome changed significantly as the hyperglycemia developed in these animals. Our results further showed that, tumors implanted in the T2D mice responded poorly to Gemcitabine/Paclitaxel (Gem/Pac) standard of care compared to those in the control group. A metabolomic reconstruction of the WGS of the gut microbiota further revealed that an enrichment of bacterial population involved in drug metabolism in the T2D group.
2020-11-30 | E-MTAB-8739 | biostudies-arrayexpress
Project description:Natural Killer (NK) cells play a central role in cell-mediated immune response to cancer. In previous studies number and function of NK-cells have been shown to be positively correlated with HCC outcome. In this study, we have performed a genetic expression analysis comparing mRNA expression by NK cells from HCC patients to patients with the pre-neoplastic condition of liver cirrhosis and to healthy donors. The bioinformatic analysis has been completed by an immunophenotypic study and functional analysis of the main NK cell functions. It is known that NK cells may present functional defects in HCC patients however previous studies have not systematically address the molecular mechanisms associated with these defects by an unbiased genetic expression study. We could identify altered cellular pathways and hypothesize possible mechanisms that could be targeted for restoring an immune-protective NK cell response. NK cells were isolated and sorted from Hepatitis C virus (HCV)-related liver cirrhosis (10 patients), early stage HCC and HCV-related liver cirrhosis (14 patients) and seven healthy donors. RNA from sorted NK cells was processed, labeled and hybridized to Agilent microarrays.
2019-03-23 | GSE128726 | GEO
Project description:OBJECTIVE: The number of patients with HCV-related cirrhosis is increasing, leading to a rising risk of complications and death. Prognostic stratification in patients with early-stage cirrhosis is still challenging. We aimed to develop and validate a clinically useful prognostic index based on genomic and clinical variables to identify patients at high risk of disease progression. DESIGN: We developed a prognostic index, comprised of a 186-gene signature validated in our previous genome-wide profiling study, bilirubin (>1 mg/dL) and platelet count (<100 000/mm3), in an Italian HCV cirrhosis cohort (training cohort, n=216, median follow-up 10 years). The gene signature test was implemented using a digital transcript counting (nCounter) assay specifically developed for clinical use and the prognostic index was evaluated using archived specimens from an independent cohort of HCV-related cirrhosis in the USA (validation cohort, n=145, median follow-up 8 years). RESULTS: In the training cohort, the prognostic index was associated with hepatic decompensation (HR=2.71, p=0.003), overall death (HR=6.00, p<0.001), hepatocellular carcinoma (HR=3.31, p=0.001) and progression of Child-Turcotte-Pugh class (HR=6.70, p<0.001). The patients in the validation cohort were stratified into high-risk (16%), intermediate-risk (42%) or low-risk (42%) groups by the prognostic index. The high-risk group had a significantly increased risk of hepatic decompensation (HR=7.36, p<0.001), overall death (HR=3.57, p=0.002), liver-related death (HR=6.49, p<0.001) and all liver-related adverse events (HR=4.98, p<0.001). CONCLUSIONS: A genomic and clinical prognostic index readily available for clinical use was successfully validated, warranting further clinical evaluation for prognostic prediction and clinical trial stratification and enrichment for preventive interventions. 90 liver tissue needle biopsy specimens from patients with histologically proven cirrhosis lacking evidence and a history of hepatic decompensation or HCC.
2014-08-22 | E-GEOD-54099 | biostudies-arrayexpress
Project description:The aim of this study is to compare post-Hepatitis C (HCV) and post-Alcoholism (ALC) Hepatocellular Carcinoma gene expression profiling. Owing to transcriptome analysis with a cDNA array virtually covering every transcript in liver, we compared tumors vs paired cirrhosis or tumors vs controls as a function of etiology, i.e. alcoholism (ALC) vs hepatitis C virus (HCV). The so-called Significance Analysis of Microarray was used to identify those genes with the most informative changes in transcript levels. Comparisons of tumor/cirrhosis ratios or tumor/controls ratios between 12 alcoholic vs 10 HCV patients identified a total of 31 transcripts whose altered ratios appropriately clustered the patients according to etiology. Keywords: etiology analysis
2005-11-19 | GSE3632 | GEO