Evidence map›Paper›PMID 33655257›Full record

ArticlemedRxiv : the preprint server for health sciences2021

SARS-CoV-2 Viremia is Associated with Distinct Proteomic Pathways and Predicts COVID-19 Outcomes.

Yijia Li, Alexis M Schneider, Arnav Mehta, Moshe Sade-Feldman, Kyle R Kays, Matteo Gentili, Nicole C Charland, Anna L K Gonye, Irena Gushterova, Hargun K Khanna and 20 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, 10 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors at 3 institutions in 1 country.

Yijia Li
Alexis M Schneider
Arnav Mehta
Moshe Sade-Feldman
Kyle R Kays
Matteo Gentili
Nicole C Charland
Anna L K Gonye
Irena Gushterova
Hargun K Khanna
Thomas J LaSalle
Kendall M Lavin-Parsons
Brendan M Lilly
Carl L Lodenstein
Kasidet Manakongtreecheep
Justin D Margolin
Brenna N McKaig
Blair A Parry
Maricarmen Rojas-Lopez
Brian C Russo
Nihaarika Sharma
Jessica Tantivit
Molly F Thomas
James Regan
James P Flynn
Alexandra-Chloé Villani
Nir Hacohen
Marcia B Goldberg
Michael R Filbin
Jonathan Z Li
Broad Institute · USHarvard University · USBrigham and Women's Hospital · US

Funding

Training Program in Cancer Biology and TherapeuticsT32CA071345 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Daniel A. Haber, Lecia V. Sequist · 1997 to 2026
$10.6M
NCI NIH HHS T32 CA071345
6 · The paper itself

Abstract

backgroundSevere Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) plasma viremia has been associated with severe disease and death in coronavirus disease 2019 (COVID-19) in small-scale cohort studies. The mechanisms behind this association remain elusive.

methodsWe evaluated the relationship between SARS-CoV-2 viremia, disease outcome, inflammatory and proteomic profiles in a cohort of COVID-19 emergency department participants. SARS-CoV-2 viral load was measured using qRT-PCR based platform. Proteomic data were generated with Proximity Extension Assay (PEA) using the Olink platform.

resultsThree hundred participants with nucleic acid test-confirmed COVID-19 were included in this study. Levels of plasma SARS-CoV-2 viremia at the time of presentation predicted adverse disease outcomes, with an adjusted odds ratio (aOR) of 10.6 (95% confidence interval [CI] 4.4, 25.5, P<0.001) for severe disease (mechanical ventilation and/or 28-day mortality) and aOR of 3.9 (95%CI 1.5, 10.1, P=0.006) for 28-day mortality. Proteomic analyses revealed prominent proteomic pathways associated with SARS-CoV-2 viremia, including upregulation of SARS-CoV-2 entry factors (ACE2, CTSL, FURIN), heightened markers of tissue damage to the lungs, gastrointestinal tract, endothelium/vasculature and alterations in coagulation pathways.

conclusionsThese results highlight the cascade of vascular and tissue damage associated with SARS-CoV-2 plasma viremia that underlies its ability to predict COVID-19 disease outcomes.

Identifiers

PMID33655257
PMCPMC7924277
OpenAlexW3132163723

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.