Evidence map›Paper›PMID 33469603›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Deep RNA Sequencing of Intensive Care Unit Patients with COVID-19.

Sean F Monaghan, Alger M Fredericks, Maximilian S Jentzsch, William G Cioffi, Maya Cohen, William G Fairbrother, Shivam J Gandhi, Elizabeth O Harrington, Gerard J Nau, Jonathan S Reichner and 3 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Sean F Monaghan
Alger M Fredericks
Maximilian S Jentzsch
William G Cioffi
Maya Cohen
William G Fairbrother
Shivam J Gandhi
Elizabeth O Harrington
Gerard J Nau
Jonathan S Reichner
Corey E Ventetuolo
Mitchell M Levy
Alfred Ayala
Brown University · USJohn Brown University · USRhode Island Hospital · US

Funding

Uncoupling of IL-1 beta and VEGF-A Crosstalk Contributes to Impaired Arteriogenesis Response to Ischemia in Chronic Diabetes MellitusP20GM103652 · NIGMS · OCEAN STATE RESEARCH INSTITUTE, INC. · PI CHOUDHARY, GAURAV, HARRINGTON, ELIZABETH O · 2013 to 2022
$21.3M
Short-Term Training Program to Increase Diversity in Health-Related ResearchR25HL088992 · NHLBI · BROWN UNIVERSITY · PI ABID, RUHUL, DIAZ, JOSEPH A · 2007 to 2024
$1.9M
NHLBI NIH HHS R25 HL088992NIGMS NIH HHS P20 GM103652
6 · The paper itself

Abstract

purposeCOVID-19 has impacted millions of patients across the world. Molecular testing occurring now identifies the presence of the virus at the sampling site: nasopharynx, nares, or oral cavity. RNA sequencing has the potential to establish both the presence of the virus and define the host's response in COVID-19.

methodsSingle center, prospective study of patients with COVID-19 admitted to the intensive care unit where deep RNA sequencing (>100 million reads) of peripheral blood with computational biology analysis was done. All patients had positive SARS-CoV-2 PCR. Clinical data was prospectively collected.

resultsWe enrolled fifteen patients at a single hospital. Patients were critically ill with a mortality of 47% and 67% were on a ventilator. All the patients had the SARS-CoV-2 RNA identified in the blood in addition to RNA from other viruses, bacteria, and archaea. The expression of many immune modulating genes, including PD-L1 and PD-L2, were significantly different in patients who died from COVID-19. Some proteins were influenced by alternative transcription and splicing events, as seen in HLA-C, HLA-E, NRP1 and NRP2. Entropy calculated from alternative RNA splicing and transcription start/end predicted mortality in these patients.

conclusionsCurrent upper respiratory tract testing for COVID-19 only determines if the virus is present. Deep RNA sequencing with appropriate computational biology may provide important prognostic information and point to therapeutic foci to be precisely targeted in future studies. TAKE HOME MESSAGE: Deep RNA sequencing provides a novel diagnostic tool for critically ill patients. Among ICU patients with COVID-19, RNA sequencings can identify gene expression, pathogens (including SARS-CoV-2), and can predict mortality. TWEET: Deep RNA sequencing is a novel technology that can assist in the care of critically ill COVID-19 patients & can be applied to other disease.

Identifiers

PMID33469603
PMCPMC7814849
OpenAlexW3118535835

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.