Ontology highlight
ABSTRACT:
PROVIDER: PRJNA898073 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gene expression was profiled in peripheral blood samples collected over three time points from patients during acute anaphylaxis and from healthy controls. Patients presented to the Emergency Department (ED) at Royal Perth Hospital with acute, moderately severe anaphylaxis. Samples were collected at ED arrival (T0), 1 hour later (T1), and 3 hours post arrival (T2).
2014-07-02 | GSE47655 | GEO
Project description:Nasal swab specimens were collected from children who presented to the emergency department with an acute exacerbation of asthma or wheeze. Samples were also collected from control subjects. Convalescent/quiescent samples were collected from children who were followed-up at least 6 weeks after an acute exacerbation of asthma or wheeze. Gene expression was profiled on microarrays.
2019-02-17 | GSE103166 | GEO
Project description:Gene expression was profiled in peripheral blood samples collected over three time points from patients during acute anaphylaxis and from healthy controls. Patients presented to the Emergency Department (ED) at Royal Perth Hospital with acute, moderately severe anaphylaxis. Samples were collected at ED arrival (T0), 1 hour later (T1), and 3 hours post arrival (T2). The study design consisted of 12 subjects, 3 time points, and 2 clinical states (acute anaphylaxis, healthy controls).
2014-07-02 | E-GEOD-47655 | biostudies-arrayexpress
Project description:Carriage surveillance of pneumococcus in an emergency department (SUPER-PEDS)
| PRJNA1055087 | ENA
Project description:We aim to determine blood transcriptome-based molecular signature of acute coronary syndrome (ACS), and to identify novel serum biomarkers for early stage ST-segment-elevation myocardial infarction (STEMI) We obtained peripheral blood from the patients with ACS who visited emergency department within 4 hours after the onset of chest pain: a set of blood samples of patients with STEMI (n=7) before and 7 days after the primary percutaneous coronary intervention (n=7) and normal control (n=10)
2015-05-23 | E-GEOD-61144 | biostudies-arrayexpress
Project description:We aim to determine blood transcriptome-based molecular signature of acute coronary syndrome (ACS), and to identify novel serum biomarkers for early stage ST-segment-elevation myocardial infarction (STEMI) We obtained peripheral blood from the patients with ACS who visited emergency department within 4 hours after the onset of chest pain: ST-elevation myocardial infarction (STEMI, n=7), Non-ST-elevation MI (NSTEMI, n=10) and unstable angina (UA, n=9), and normal control (n=7)
2015-05-23 | E-GEOD-60993 | biostudies-arrayexpress
Project description:Recent progress in unbiased metagenomic next-generation sequencing (mNGS) allows simultaneous examination of microbial and host genetic material in a single test. Leveraging affordable bronchoalveolar lavage fluid (BALF) mNGS data, we employed machine learning to create a diagnostic approach distinguishing lung cancer from pulmonary infections, conditions prone to misdiagnosis in clinical settings. This prospective study analyzed BALF-mNGS data from lung cancer and pulmonary infection patients, delineating differences in DNA/RNA microbial composition, bacteriophage abundances, and host responses, including gene expression, transposable element levels, immune cell composition, and tumor fraction derived from copy number variation (CNV). Integrating these metrics into a host/microbe metagenomics-driven machine learning model (Model VI) demonstrated robustness, achieving an AUC of 0.87 (95% CI = 0.857-0.883), sensitivity = 73.8%, and specificity = 84.5% in the training cohort, and an AUC of 0.831 (95% CI = 0.819-0.843), sensitivity = 67.1%, and specificity = 94.4% in the validation cohort for distinguishing lung cancer from pulmonary infections. The application of a rule-in and rule-out strategy-based composite predictive model significantly enhances accuracy (ACC) in distinguishing between lung cancer and tuberculosis (ACC=0.913), fungal infection (ACC=0.955), and bacterial infection (ACC=0.836). These findings highlight the potential of cost-effective mNGS-based analysis as a valuable tool for early differentiation between lung cancer and pulmonary infections, offering significant benefits through a single comprehensive testing.
2024-01-08 | GSE252118 | GEO
Project description:Severe sepsis and septic shock, which occur with high incidence and are prevalent in the emergency department setting, are among the most common causes of death in hospitalized patients worldwide, and there has been a continuous increase in the incidence of sepsis of approximately 5–10% per year. Endothelial cells constitute an important metabolic organ in the physiological homeostasis of blood vessels and play a pivotal role in orchestrating the inflammatory response triggered by sepsis or endotoxemia. The secretome is defined as the subset of the proteome that contains all the proteins actively exported by a cell following a particular event.
2015-10-05 | PXD002220 | Pride
Project description:We endeavored to identify objective blood biomarkers for pain, a subjective sensation with a biological basis, using a stepwise discovery, prioritization, validation, and testing in independent cohorts design. We studied psychiatric patients, a high risk group for co-morbid pain disorders and increased perception of pain. For discovery, we used a powerful withinsubject longitudinal design. We were successful in identifying blood gene expression biomarkers that were predictive of pain state, and of future emergency department (ED) visits for pain, more so when personalized by gender and diagnosis.
2019-02-27 | GSE127208 | GEO
Project description:<p><strong>BACKGROUND:</strong> There is a critical need for rapid viral infection diagnostics to enable prompt case identification in pandemic settings and support targeted antimicrobial prescribing.</p><p><strong>METHODS:</strong> Using untargeted high-resolution liquid chromatography coupled with mass spectrometry, we compared the admission serum metabolome of emergency department patients with acute viral infections, including COVID-19, bacterial infections, inflammatory conditions and healthy controls. Sera from an independent cohort of emergency department patients admitted with viral or bacterial infections underwent profiling to validate findings. Associations between whole-blood gene expression and the identified metabolite of interest were examined.</p><p><strong>FINDINGS:</strong> 3'-Deoxy-3',4'-didehydro-cytidine (ddhC), a free base of the only known human antiviral small molecule ddhC-triphosphate (ddhCTP), was detected for the first time in serum. When comparing 60 viral with 101 non-viral cases in the discovery cohort, ddhC was the most differentially abundant metabolite, generating an area under the receiver operating characteristic curve (AUC) of 0.954 (95% CI: 0.923-0.986). In the validation cohort, ddhC was again the most significantly differentially abundant metabolite when comparing 40 viral with 40 bacterial cases, generating an AUC of 0.81 (95% CI: 0.708-0.915). Transcripts of viperin and <em>CMPK2</em>, enzymes responsible for ddhCTP synthesis, were amongst the 5 genes most highly correlated with ddhC abundance.</p><p><strong>CONCLUSIONS: </strong>The antiviral precursor molecule ddhC is detectable in serum and an accurate marker for acute viral infection. Interferon-inducible genes, viperin and <em>CMPK2</em> are implicated in ddhC production <em>in vivo</em>. These findings highlight a future diagnostic role for ddhC in viral diagnosis, pandemic preparedness and acute infection management.</p><p><strong>FUNDING:</strong> National Institute for Health Research Imperial Biomedical Research Centre; Medical Research Council.</p>
2022-02-10 | MTBLS718 | MetaboLights