Ontology highlight
ABSTRACT:
PROVIDER: PRJNA938091 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Patient Microbiome and Surgical Site Infection in Spine Surgery
| PRJNA998489 | ENA
Project description:Patient Microbiome and Surgical Site Infection in Spine Surgery
| PRJNA998490 | ENA
Project description:We used the ileal loop model to assess the effects of enteric bacteria organisms on host gene expression in intestinal tissue independent of and following early SIV infection. SIV infection in the gut causes rapid and severe immune dysfunction and damage to the intestinal structure, this may alter the intimate interaction with lumenal organisms. This study was performed to determine whether early SIV infection, prior to the depletion of CD4+ T cells, can alter interaction of the host with pathogenic Salmonella serovar Typhimurium (ST) or commensal Lactobacillus plantarum (LP), and to further understand the earliest changes to the intestinal mucosa following SIV infection. We used microarray analysis to detail the global program of gene expression underlying changes in the ileum following early SIV infection, and if these changes in any way alter the host interaction/ response to pathogenic and commensal enteric bacteria. A subset of animals were infected with SIVmac251 for 2.5 days, following which they underwent a loop surgery where the ileum was sectioned off with surgical ties and bacteria (ST or LP) or their respective media controls (LB or MRS) were injected intralumenally. Following 5 hours of incubation the loops were excised and frozen. Tissue sections were cut and RNA extracted for gene expression analysis. Rhesus Macaques infected with SIVmac251 for 2.5 days compared to uninfected controls. Comparisons are of ileum loop sections injected with Salmonella serovar Typhimurium, Lactobacillus Plantarum or respective media controls LB or MRS.
2014-12-19 | E-GEOD-52589 | biostudies-arrayexpress
Project description:Escherichia coli: urinary infection and surgical site infection
| PRJNA915920 | ENA
Project description:Infective endocarditis is a severe disease caused by the infection of heart valves and endocardium by pathogenic germ. Antimicrobial therapy and surgery remain the basis of treatment, and up to 50% of the patients require surgical replacement of the affected valves to control the infectious source. The objective of this work is to identify the existence of endotypes in a prospective cohort of patients with infective endocarditis. We performed a bulk RNA-seq form peripheral blood to cluster patients according to their transcriptomic profiles at diagnosis and during their follow-up. Clinical data, outcomes and response to surgery were assessed in a cluster-specific manner, in order to identify differences in the pathogenesis that could help to find personalized treatments and improve the outcome.
2023-08-08 | GSE240320 | GEO
Project description:Infective endocarditis is a severe disease caused by the infection of heart valves and endocardium by pathogenic germ. Antimicrobial therapy and surgery remain the basis of treatment, and up to 50% of the patients require surgical replacement of the affected valves to control the infectious source. The objective of this work is to identify the existence of endotypes in a prospective cohort of patients with infective endocarditis. We performed a bulk RNA-seq form peripheral blood to cluster patients according to their transcriptomic profiles at diagnosis and during their follow-up. Clinical data, outcomes and response to surgery were assessed in a cluster-specific manner, in order to identify differences in the pathogenesis that could help to find personalized treatments and improve the outcome.
2023-08-08 | GSE240319 | GEO
Project description:This is a prospective randomized study to evaluate the difference in the rate of surgical site infection between the patients who used Sodium Picosulfate solution(PicosolutionⓇ) and tablet Oral Sulphate Solution(ORA·FANGⓇ) for bowel preparation before colorectal cancer surgery .
| 2354985 | ecrin-mdr-crc
Project description:Gene expression was assessed with Nanostring in the surgical specimens obtained from a Window of Opportunity trial with MK-2206 in early stage breast cancer. Tumor biopsies and surgical specimens were compared for patients who received MK-2206 along with a prospective untreated control group of patients. Greater expression of interferon related genes was seen in surgical specimens following MK-2206 and compared to untreated controls.
2020-05-25 | GSE150509 | GEO
Project description:Gene expression was assessed with Nanostring in the surgical specimens obtained from a Window of Opportunity trial with MK-2206 in early stage breast cancer. Tumor biopsies and surgical specimens were compared for patients who received MK-2206 along with a prospective untreated control group of patients. Greater expression of interferon related genes was seen in surgical specimens following MK-2206 and compared to untreated controls.
2020-05-25 | GSE150458 | GEO
Project description:Introduction: Sepsis is a complex immunological response to infection characterized by early hyperinflammation followed by severe and protracted immunosuppression, suggesting that a multi-marker approach has the greatest clinical utility for early detection, within a clinical environment focused on SIRS differentiation. Pre-clinical research using an equine sepsis model identified a panel of gene expression biomarkers that define the early aberrant immune activation. Thus, the primary objective was to apply these gene expression biomarkers to distinguish patients with sepsis from those who had undergone major open surgery and had clinical outcomes consistent with systemic inflammation due to physical trauma and wound healing. Methods: This was a multi-centre, prospective clinical trial conducted across 4 tertiary critical care settings in Australia. Sepsis patients were recruited if they met the 1992 Consensus Statement criteria and had clinical evidence of systemic infection based on microbiology diagnoses (n=27). Participants in the post-surgical (PS) group were recruited pre-operatively and blood samples collected within 24 hours following surgery (n=38). Healthy controls (HC) included hospital staff with no known concurrent illnesses (n=20). Each participant had minimally 5ml of PAXgene blood collected for leucocyte RNA isolation and gene expression analyses. Affymetrix array and multiplex tandem (MT)-PCR studies were conducted to evaluate transcriptional profiles in circulating white blood cells applying a set of 42 molecular markers that had been identified a priori. A LogitBoost algorithm was used to create a machine learning diagnostic rule to predict sepsis outcomes. Results: Based on preliminary microarray analyses comparing HC and sepsis groups. A panel of 42-gene expression markers were identified that represented key innate and adaptive immune function, cell cycling, WBC differentiation, extracellular remodelling and immune modulation pathways. Comparisons against GEO data confirmed the definitive separation of the sepsis cohort. Quantitative PCR results suggest the capacity for this test to differentiate severe systemic inflammation from HC is 92%. AUC ROC curve findings demonstrated sepsis prediction within a mixed inflammatory population, was between 86 - 92%. Conclusions: This novel molecular biomarker test has a clinically relevant sensitivity and specificity profile, and has the capacity for early detection of sepsis via the monitoring of critical care patients. GEO Note: Data made available represents the preliminary microarray investigation performed on Human U133 Plus 2.0 GeneChips (Affymetrix), assaying 41 patient samples (Sepsis n=10, Post-Surgical n=11, Control n=20). This was a multi-centre, prospective clinical trial conducted across 4 tertiary critical care settings in Australia. Sepsis patients were recruited if they met the 1992 Consensus Statement criteria and had clinical evidence of systemic infection based on microbiology diagnoses (n=27). Participants in the post-surgical (PS) group were recruited pre-operatively and blood samples collected within 24 hours following surgery (n=38). Healthy controls (HC) included hospital staff with no known concurrent illnesses (n=20). Each participant had minimally 5ml of PAXgene blood collected for leucocyte RNA isolation and gene expression analyses. The GEO data represents the preliminary microarray investigation performed on Human U133 Plus 2.0 GeneChips (Affymetrix), assaying 41 patient samples (Sepsis n=10, Post-Surgical n=11, Control n=20).
2011-11-01 | E-GEOD-28750 | biostudies-arrayexpress