Evidence map›Paper›PMID 33173871›Full record

ArticlebioRxiv : the preprint server for biology2020

Plasma proteomics reveals tissue-specific cell death and mediators of cell-cell interactions in severe COVID-19 patients.

Michael R Filbin, Arnav Mehta, Alexis M Schneider, Kyle R Kays, Jamey R Guess, Matteo Gentili, Bánk G Fenyves, Nicole C Charland, Anna L K Gonye, Irena Gushterova and 33 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 49 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

43 authors at 8 institutions in 2 countries.

Michael R Filbin
Arnav Mehta
Alexis M Schneider
Kyle R Kays
Jamey R Guess
Matteo Gentili
Bánk G Fenyves
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
Maricarmen Rojas-Lopez
Brian C Russo
Nihaarika Sharma
Jessica Tantivit
Molly F Thomas
Robert E Gerszten
Graham S Heimberg
Paul J Hoover
David J Lieb
Brian Lin
Debby Ngo
Karin Pelka
Miguel Reyes
Christopher S Smillie
Avinash Waghray
Thomas E Wood
Amanda S Zajac
Lori L Jennings
Ida Grundberg
Roby P Bhattacharyya
Blair Alden Parry
Alexandra-Chloé Villani
Moshe Sade-Feldman
Nir Hacohen
Marcia B Goldberg
Broad Institute · USMassachusetts General Hospital · USHarvard University · USAbterra Biosciences (United States) · USBeth Israel Deaconess Medical Center · USBrigham and Women's Hospital · USNovartis (United States) · USSemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 has caused over 1 million deaths globally, yet the cellular mechanisms underlying severe disease remain poorly understood. By analyzing several thousand plasma proteins in 306 COVID-19 patients and 78 symptomatic controls over serial timepoints using two complementary approaches, we uncover COVID-19 host immune and non-immune proteins not previously linked to this disease. Integration of plasma proteomics with nine published scRNAseq datasets shows that SARS-CoV-2 infection upregulates monocyte/macrophage, plasmablast, and T cell effector proteins. By comparing patients who died to severely ill patients who survived, we identify dynamic immunomodulatory and tissue-associated proteins associated with survival, providing insights into which host responses are beneficial and which are detrimental to survival. We identify intracellular death signatures from specific tissues and cell types, and by associating these with angiotensin converting enzyme 2 (ACE2) expression, we map tissue damage associated with severe disease and propose which damage results from direct viral infection rather than from indirect effects of illness. We find that disease severity in lung tissue is driven by myeloid cell phenotypes and cell-cell interactions with lung epithelial cells and T cells. Based on these results, we propose a model of immune and epithelial cell interactions that drive cell-type specific and tissue-specific damage in severe COVID-19.

Identifiers

PMID33173871
PMCPMC7654866
OpenAlexW3096164104

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.