The Correlation among Serum Proteomics and Clinical Profiles in Fibromyalgia Women
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo Sapiens (human)
SUBMITTER: Prof. Chia-Li Han
PROVIDER: PXD013905 | JPOST Repository | Sun May 17 00:00:00 BST 2020
REPOSITORIES: jPOST
Dataset's files
Items per page: 5 1 - 5 of 20 |
Similar Datasets
Project description:(Purpose) Biological classification of colorectal cancer (CRC) can help to understand its heterogeneous background. The purpose of this study is to classify CRC based on gene expression profiles using formalin-fixed paraffin-embedded (FFPE) samples and to correlate subgroups of CRC with biological features and clinical outcomes. (Results) CRC was clustered into four subgroups by unsupervised hierarchical clustering method. These subgroups show different biological and clinical features. (Conclusion) Gene expression profiles of CRC using FFPE samples distinguish four subgroups that had different biological features and clinical outcomes. These subgroups may explain heterogeneity of CRC and be useful biomarker for clinical. Patients and Methods: One hundred patients with unresectable and advanced or recurrent CRC who underwent the surgical resection from 1998 to 2010 were enrolled in this study. RNA extracted from FFPE samples was subjected to gene expression microarray. After comprehensive gene expression analysis, CRC were classified by an unsupervised hierarchical clustering and a principle component analysis (PCA). Mutation analysis of KRAS, BRAF, PIK3CA and TP53 genes were performed by direct DNA sequencing. Correlation between the biological information, clinicopathological factors and clinical outcomes were analyzed.
2014-01-01 | E-GEOD-33193 | biostudies-arrayexpress
Project description:Gene expression profiles of interstitial lung disease (ILD) patients
2025-01-24 | E-GEOD-21369 | ExpressionAtlas
Project description:Systemic gene expression profiles in patients with ventilator-associated pneumonia
2025-01-23 | E-MTAB-5638 | ExpressionAtlas
Project description:<p><strong>OBJECTIVE:</strong> Intrahepatic cholestasis of pregnancy (ICP) is associated with an increased risk of adverse pregnancy outcomes to the mother and fetus. As yet, the metabolic profiles and the association of the clinical features remain obscure.</p><p><strong>METHODS:</strong> Fifty seven healthy pregnant women and 52 patients with ICP were recruited in this study. Plasma samples were obtained from pregnancies who received prenatal care between the 30-36 weeks. Untargeted metabolomics to portray metabolic profiles were performed by LC/MS. Mul- combined with univariate data analysis and statistical analysis were performed to select differential metabolites between ICP and control group. Debiased sparse partial correlation (DSPC) network analysis of differential metabolites was performed to explore the potential mutual regulation among metabolites on the basis of de-sparsified graphical lasso modeling procedure. Pathway analysis was performed using MetaboAnalyst. Linear regression and Pearson correlation analysis were applied to analyze correlations associated with bile acid levels, metabolites, newborn weight and pregnancy outcome in ICP patients.</p><p><strong>RESULTS:</strong> Conspicuous metabolic changes and choreographed metabolic profiles were disclosed: 125 annotated metabolites and eighteen metabolic pathways were disturbed in ICP patients. DSPC networks indicated dense interactions among amino acids and their derivatives, bile acids, carbohydrates and organic acids. The levels of total bile acid were increased in ICP patients with meconium-stained amniotic fluid compared with those without MSAF. Abnormal tryptophan metabolism, elevated long chain saturated fatty acid and estrone sulfate levels, and low antioxidant capacity were relevant to increasing bile acid levels. Correlation analysis showed that newborn body weights were significant correlated with the levels of several bile acids and some metabolites of amino acids.</p><p><strong>CONCLUSION:</strong> The ICP patient showed metabolic disorder, and the levels of a number of metabolites were correlated with TBA levels and neonatal body weights. These results provide us important information to further understand the metabolic characteristics of patients with ICP and adverse pregnancy outcomes.</p>
2022-03-01 | MTBLS2627 | MetaboLights
Project description:Transcription profiling by array of human neuroblastoma patients in two different clinical outcomes
2025-01-24 | E-GEOD-16237 | ExpressionAtlas
Project description:Background. B-Acute lymphoblastic leukemia (B-ALL) represents a hematologic malignancy with poor clinical outcome and low survival rates in adult patients. Only 61% of Colombian adult patients with ALL achieve complete remission and a median overall survival of less than 11.3 months and event-free survival of 7.34 months. Identification of prognostic factors is crucial for proper treatment strategies and optimal results of therapy. The goal of our study was to determine if gene expression signatures correlate with response to therapy and to evaluate the utility of these as prognostic tools for survival to better predict patient risk prior to therapy. Methods and findings. This study included 43 adult patients newly diagnosed with B-cell precursor or common B-ALL. Through microarray gene expression profiles, we identified 442 genes differentially expressed between 27 leukemia patients who responded or not to induction chemotherapeutic treatment. Hierarchical analysis with the 99 most differentially expressed genes between the two groups revealed 3 sets of patients that differed in their clinical characteristics, giving these genes high prognostic clinical outcome impact. We validated the expression of 7 genes by RT-PCR in 43 patients, and in addition to finding a correlation with gene expression profiles, we established correlations with good and poor prognosis from the time of diagnosis. Conclusions. Our study suggests that the response to induction treatment and clinical outcome of patients can be predicted from the onset of the disease and that gene expression profiles can be used to stratify patient risk adequately and accurately. The present study represents the first that shows that gene expression profiling could become a clinically relevant tool for stratification in the early course of disease of Colombian adults B-ALL. Stem cells from bone marrow samples from B-acute lymphoblastic leukemia (B-ALL) patients responding or not to the inductive therapy were isolated by sorting, and the gene expression was compared between the two groups. This submission includes samples from 27 B-ALL patients and 3 healthy individuals.
2016-04-06 | E-GEOD-76349 | biostudies-arrayexpress
Project description:CD8+ T-cell gene expression has been implicated in the pathogenesis of Inflammatory Bowel Diseases (IBD) and has been shown to correlate with disease outcome in adult patients. We aimed to explore DNA methylation in children newly diagnosed with Crohn's Disease and test for correlation with disease outcome.
2020-10-01 | E-MTAB-8925 | biostudies-arrayexpress
Project description:Purpose : The goal of this study was to use RNA Seq to explore the correlation of gene expression of a collection of clinical P. aeruginosa isolates to various phenotypes, such as antimicrobial resistance, biofilm formation or virulence Methods : mRNA profiles were generated for Pseudomonas aerugionsa clinical samples derived from various geographical locations by deep sequencing. The removal of ribosomal RNA was performed using the Ribo-Zero Bacteria Kit (Illumina) and cDNA libraries were generated with the ScriptSeq v2 Kit (Illumina) . The samples were sequenced in single end mode on an Illumina HiSeq 2500 device and mRNA reads were trimmed and mapped to the NC_008463.1 (PA14) reference genome from NCBI using Stampy pipeline with defaut settings.
2019-04-08 | GSE123544 | GEO
Project description:Background. B-Acute lymphoblastic leukemia (B-ALL) represents a hematologic malignancy with poor clinical outcome and low survival rates in adult patients. Only 61% of Colombian adult patients with ALL achieve complete remission and a median overall survival of less than 11.3 months and event-free survival of 7.34 months. Identification of prognostic factors is crucial for proper treatment strategies and optimal results of therapy. The goal of our study was to determine if gene expression signatures correlate with response to therapy and to evaluate the utility of these as prognostic tools for survival to better predict patient risk prior to therapy. Methods and findings. This study included 43 adult patients newly diagnosed with B-cell precursor or common B-ALL. Through microarray gene expression profiles, we identified 442 genes differentially expressed between 27 leukemia patients who responded or not to induction chemotherapeutic treatment. Hierarchical analysis with the 99 most differentially expressed genes between the two groups revealed 3 sets of patients that differed in their clinical characteristics, giving these genes high prognostic clinical outcome impact. We validated the expression of 7 genes by RT-PCR in 43 patients, and in addition to finding a correlation with gene expression profiles, we established correlations with good and poor prognosis from the time of diagnosis. Conclusions. Our study suggests that the response to induction treatment and clinical outcome of patients can be predicted from the onset of the disease and that gene expression profiles can be used to stratify patient risk adequately and accurately. The present study represents the first that shows that gene expression profiling could become a clinically relevant tool for stratification in the early course of disease of Colombian adults B-ALL.
2016-04-06 | GSE76349 | GEO
Project description:Background: Sepsis involves aberrant immune responses to infection, but the exact nature of this immune dysfunction remains poorly defined. Bacterial endotoxins like lipopolysaccharide (LPS) are potent inducers of inflammation, which has been associated with the pathophysiology of sepsis, but repeated exposure can also induce a suppressive effect known as endotoxin tolerance or cellular reprogramming. It has been proposed that endotoxin tolerance might be associated with the immunosuppressive state that was primarily observed during late-stage sepsis. However, this relationship remains poorly characterised. Here we clarify the underlying mechanisms and timing of immune dysfunction in sepsis. Methods: We defined a gene expression signature characteristic of endotoxin tolerance. Gene-set test approaches were used to correlate this signature with early sepsis, both newly and retrospectively analysing microarrays from 593 patients in 11 cohorts. Then we recruited a unique cohort of possible sepsis patients at first clinical presentation in an independent blinded controlled observational study to determine whether this signature was associated with the development of confirmed sepsis and organ dysfunction. Findings: All sepsis patients presented an expression profile strongly associated with the endotoxin tolerance signature (p < 0.01; AUC 96.1%). Importantly, this signature further differentiated between suspected sepsis patients who did, or did not, go on to develop confirmed sepsis, and predicted the development of organ dysfunction. Interpretation: Our data support an updated model of sepsis pathogenesis in which endotoxin tolerance-mediated immune dysfunction (cellular reprogramming) is present throughout the clinical course of disease and related to disease severity. Thus endotoxin tolerance might offer new insights guiding the development of new therapies and diagnostics for early sepsis. For the RNA-Seq study reported here, 73 patients were recruited with deferred consent at the time of first examination in an emergency ward based on the opinion of physicians that there was a potential for the patient's condition to develop into sepsis. These were retrospectively divided into groups based on clinical features and compared to 11 non-urgent surgical controls.
2014-11-14 | E-GEOD-63311 | biostudies-arrayexpress