Early Predicting COVID-19 Severity Value with Extracellular Vesicles and Extracellular RNAs
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ABSTRACT:
PROVIDER: PRJNA666884 | ENA |
REPOSITORIES: ENA
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Project description:The SARS-CoV-2 outbreak started on December 2019 in China and rapidly spread worldwide. Clinical manifestations of Coronavirus-disease 2019 (COVID-19) vary broadly, ranging from asymptomatic infection to acute respiratory failure and death, yet the underlying mechanisms and predictive biomarkers for this high variability are still unknown. Emerging evidence has shown that circulating extracellular vesicles (EVs) and extracellular RNAs (exRNAs) are functionally involved in a number of physiologic and pathologic processes. To test the hypothesis that these extracellular components are a key determinant of severity in COVID-19, we collected 31 serum samples from mild COVID-19 patients at admission in single center. After standard therapy without corticosteroids, 9 of 31 patients became severe COVID-19. We analyzed exRNA profiles from the 31 serums and 10 healthy controls for predicting COVID-19 severity value.
2022-03-31 | GSE158877 | GEO
Project description:Severely-afflicted COVID-19 patients can exhibit disease manifestations representative of sepsis, including acute respiratory distress syndrome and multiple organ failure. We hypothesized that diagnostic tools used in managing all-cause sepsis, such as clinical criteria, biomarkers, and gene expression signatures, should extend to COVID-19 patients. Here we analyzed the whole blood transcriptome of 124 early (1-5 days post-hospital admission) and late (6-20 days post-admission) sampled patients with confirmed COVID-19 infections from hospitals in Quebec, Canada. Mechanisms associated with COVID-19 severity were identified between severity groups (ranging from mild disease to the requirement for mechanical ventilation and mortality), and established sepsis signatures were assessed for dysregulation. Specifically, gene expression signatures representing pathophysiological events, namely cellular reprogramming, organ dysfunction, and mortality, were significantly enriched and predictive of severity and lethality in COVID-19 patients. Mechanistic endotypes reflective of distinct sepsis aetiologies and therapeutic opportunities were also identified in subsets of patients, enabling prediction of potentially-effective repurposed drugs. The expression of sepsis gene expression signatures in severely-afflicted COVID-19 patients indicates that these patients should be classified as having severe sepsis. Accordingly, in severe COVID-19 patients, these signatures should be strongly considered for the mechanistic characterization, diagnosis, and guidance of treatment using repurposed drugs.
2022-12-18 | GSE221234 | GEO
Project description:Assessing and Predicting Infant RSV Effects and Severity (AsPIRES) Study
| PRJNA338516 | ENA
Project description:Predicting COVID-19 Severity with a Specific Nucleocapsid Antibody plus Disease Risk Factor Score
| PRJNA723367 | ENA
Project description:Background: There is some evidence demonstrating the effect of psychological interventions in improvements in health biological parameters. To best of our knowledge, no study had addressed the impact of any psychological intervention on extracellular vesicles. In addition, Mindfulness-Based Cognitive Therapy (MBCT) and Emotion Focused Therapy for Cancer Recovery (EFT-CR) in the group have never been explored regarding extracellular vesicles and the effectiveness of these was not compared yet.
Objectives:
1. To explore and compare the effect of MBCT and EFT-CR on biological parameters and psychological variables in distressed people who have had breast, prostate and colorectal cancer;
2. In addition, we will explore the acceptability through recruitment and retention rates of MBCT and EFT-CR in group and evaluate whether these interventions are appropriate for a larger clinical trial.
Methods: The design of this study is a parallel randomized controlled trial. Participants will be randomized into MBCT, EFT-CR or usual care. Outcome measures will be assessed before, at the end of the intervention (8 weeks) and follow-ups (24 and 52 weeks from the baseline moment).
Hypotheses: The researchers expected that both interventions will have an effect on extracellular vesicles and other study biomarkers as well as improvements in psychological outcomes, compared to treatment as usual (TAU) group. Regarding the comparative effectiveness, we did not have evidence to hypothesize which one of the interventions will be superior in both biological (extracellular vesicles) and psychological outcomes.
Contribution for practice: The results of this preliminary study would permit to know if there are benefits of these psychological interventions on changes in extracellular vesicles and on psychological outcomes related to health. In addition, this study will permit to determine the acceptability of conducting a larger randomized controlled trial.
| 2332322 | ecrin-mdr-crc
Project description:Effective methods for predicting COVID-19 disease trajectories are urgently needed. Here, enzyme-linked immunosorbent assay (ELISA) and coronavirus antigen microarray (COVAM) analysis mapped antibody epitopes in the plasma of COVID-19 patients (n = 86) experiencing a wide range of disease states. The experiments identified antibodies to a 21-residue epitope from nucleocapsid (termed Ep9) associated with severe disease, including admission to the intensive care unit (ICU), requirement for ventilators, or death. Importantly, anti-Ep9 antibodies can be detected within 6 days post-symptom onset and sometimes within 1 day. Furthermore, anti-Ep9 antibodies correlate with various comorbidities and hallmarks of immune hyperactivity. We introduce a simple-to-calculate, disease risk factor score to quantitate each patient’s comorbidities and age. For patients with anti-Ep9 antibodies, scores above 3.0 predict more severe disease outcomes with a 13.42 likelihood ratio (96.7% specificity). The results lay the groundwork for a new type of COVID-19 prognostic to allow early identification and triage of high-risk patients. Such information could guide more effective therapeutic intervention.
2021-04-21 | GSE172471 | GEO
Project description:To further investigate the molecular mechanisms by which EVs mediated the abnormal localization of tight junction proteins and adherence junction protein, we performed miRNA microarray analysis of extracellular vesicles isolated from breast cancer cells. miRNA expression in extracellular vesicles was collected from MDA-MB-231-D3H1, MDA-MB-231-D3H2LN, BMD2a and BMD2b breast cancer cell lines.
2015-04-02 | E-GEOD-63445 | biostudies-arrayexpress
Project description:comparison miRNA content between extracellular vesicles from AAV-transduced or intact cells
2021-08-07 | E-MTAB-10858 | biostudies-arrayexpress
Project description:Similar to bacterial proteins that are targeted to distinct macrophages organelles via extracellular vesicles, we propose that these vesicles also traffic small RNAs to modulate specific host factors. To test this, we aim to sequence extracellular vesicle derived sRNA, and whole bacterial small RNAs to determine selectivity, and to identify their bacterial and mammalian targets (Experimental Plan in Table-1). For this we will collect highly purified vesicles from N. gonorrhoeae (strain MS11A). We will also treat mouse derived primary macrophages with extracellular vesicles and compare their RNA response to untreated macrophages (Table-2). This will provide novel insights into how macrophages respond to N. gonorrhoeae infections. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
2016-03-01 | E-ERAD-439 | biostudies-arrayexpress
Project description:The causative organism, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), exhibits a wide spectrum of clinical manifestations in disease-ridden patients. Differences in the severity of COVID-19 ranges from asymptomatic infections and mild cases to the severe form, leading to acute respiratory distress syndrome (ARDS) and multiorgan failure with poor survival. MiRNAs can regulate various cellular processes, including proliferation, apoptosis, and differentiation, by binding to the 3′UTR of target mRNAs inducing their degradation, thus serving a fundamental role in post-transcriptional repression. Alterations of miRNA levels in the blood have been described in multiple inflammatory and infectious diseases, including SARS-related coronaviruses. We used microarrays to delineate the miRNAs and snoRNAs signature in the peripheral blood of severe COVID-19 cases (n=9), as compared to mild (n=10) and asymptomatic (n=10) patients, and identified differentially expressed transcripts in severe versus asymptomatic, and others in severe versus mild COVID-19 cases. A cohort of 29 male age-matched patients were selected. All patients were previously diagnosed with COVID-19 using TaqPath COVID-19 Combo Kit (Thermo Fisher Scientific, Waltham, Massachusetts), or Cobas SARS-CoV-2 Test (Roche Diagnostics, Rotkreuz, Switzerland), with a CT value < 30. Additional criterion for selection was age between 35 and 75 years. Participants were grouped into severe, mild and asymptomatic. Classifying severe cases was based on requirement of high-flow oxygen support and ICU admission (n=9). Whereas mild patients were identified based on symptoms and positive radiographic findings with pulmonary involvement (n=10). Patients with no clinical presentation were labelled as asymptomatic cases (n=10).
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