Project description:Genome-wide gene expression profiling of whole blood leukocytes in critically ill patients with sepsis or non-infectious disease has been used extensively in search of diagnostic biomarkers, as well as prognostic signatures reflecting diseases severity and outcome. Through technological advances in genomics it has become clear that transcription is not limited to protein-coding regions of the genome. Here, we describe a comprehensive analysis of RNA expression in blood leukocytes of critically ill patients with sepsis, a non-infectious condition and healthy subjects
Project description:Genome-wide gene expression profiling of whole blood leukocytes in critically ill patients with sepsis or non-infectious disease has been used extensively in search of diagnostic biomarkers, as well as prognostic signatures reflecting diseases severity and outcome. Through technological advances in genomics it has become clear that transcription is not limited to protein-coding regions of the genome. Here, we describe a comprehensive analysis of small non-coding RNA expression in blood leukocytes of critically ill patients with sepsis, a non-infectious condition, healthy subjects and experimental human endotoxemia
Project description:Longitudinal Gene expression profiling of whole blood from critically ill influenza and bacterial pneumonia patients. In addition before vs 7 days post influenza vaccination volunteer samples are assayed.
Project description:System-wide molecular characteristics of COVID-19, especially in those patients without comorbidities, have not been fully investigated. We compared extensive molecular profiles of blood samples from 231 COVID-19 patients, ranging from asymptomatic to critically ill, importantly excluding those with any comorbidities. Amongst the major findings, asymptomatic patients were characterized by highly activated anti-virus interferon, T/natural killer (NK) cell activation, and transcriptional upregulation of inflammatory cytokine mRNAs. However, given very abundant RNA binding proteins (RBPs), these cytokine mRNAs could be effectively destabilized hence preserving normal cytokine levels. In contrast, in critically ill patients, cytokine storm due to RBPs inhibition and tryptophan metabolites accumulation contributed to T/NK cell dysfunction. A machine-learning model was constructed which accurately stratified the COVID-19 severities based on their multi-omics features. Overall, our analysis provides insights into COVID-19 pathogenesis and identifies targets for intervening in treatment.
2021-03-12 | PXD024674 | Pride
Project description:WGS blood culture isolates from critically ill patients
Project description:A microarray analysis involving whole blood samples isolated from critically ill patients in the medical intensive care unit at Brigham and Women's Hospital. Four groups of intubated subjects undergoing mechanical ventilation were recruited for the study: those with sepsis alone (Sepsis), those with sepsis + ARDS (se/ARDS), those with SIRS (SIRS), and those whithout sepsis, SIRS, or ARDS (untreated). Blood was obtained from patients on the day of admission (day 0) and 7 days later. RNA was isolated from the whole blood samples and microarrays were prepared to determine differential gene expression between the four groups. Total RNA obtained from whole blood samples of critically ill patients
Project description:Fecal metabolite profiling identifies critically ill patients with increased 30-day mortality risk. Targeted metabolomics panels for Bile Acids, Tryptophan pathway, and SCFAs, see methods document for full description.
Project description:To determine whether differential expression of cellular microRNAs plays a role in the host response to Influenza A (H1N1) infection, we have employed the Agilent miRNA microarray (V3) as a discovery platform to identify microRNAs between the critically ill Patients with Influenza A (H1N1) and the healthy controls. Five critically ill patients with a diagnosis of 2009 Inflluenza A (H1N1) and three healthy controls were included in the study. The Peripheral Blood Mononuclear Cells (PBMCs) were isolated and total RNA was extracted respectively.
