Evidence map›Paper›PMID 32511463›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Proinflammatory IgG Fc structures in patients with severe COVID-19.

Saborni Chakraborty, Joseph Gonzalez, Karlie Edwards, Vamsee Mallajosyula, Anthony S Buzzanco, Robert Sherwood, Cindy Buffone, Nimish Kathale, Susan Providenza, Markus M Xie and 17 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 38 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 8 institutions in 1 country.

Saborni ChakrabortyORCID 0000-0003-0502-3757
Joseph Gonzalez
Karlie Edwards
Vamsee Mallajosyula
Anthony S Buzzanco
Robert Sherwood
Nimish Kathale
Susan Providenza
Jason R Andrews
Catherine A Blish
Upinder Singh
Haley Dugan
Patrick C Wilson
Tho D Pham
Scott D Boyd
Kari C Nadeau
Benjamin A PinskyORCID 0000-0001-8751-4810
Sheng Zhang
Matthew J Memoli
Jeffery K Taubenberger
Tasha Morales
Jeffrey M Schapiro
Gene S Tan
Prasanna Jagannathan
Taia T Wang
Stanford University · USChan Zuckerberg Initiative (United States) · USCornell University · USKaiser Permanente · USNational Institutes of Health · USUniversity of Chicago · USJ. Craig Venter Institute · USStanford Blood Center · US

Funding

Computational models of naturally acquired immunity to falciparum malariaU01AI150741 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BUTTE, ATUL J, GREENHOUSE, BRYAN R · 2020 to 2024
$7.4M
Coronavirus Pathogenesis and Broadly Protective Vaccine DevelopmentZIAAI001268 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI MEMOLI, MATTHEW · 2020 to 2025
$4.8M
SARS-CoV-2 PathogenesisZIAAI001271 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI TAUBENBERGER, JEFFERY · 2020 to 2025
$3.1M
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections can cause Coronavirus Disease 2019 (COVID-19), which manifests with a range of severities from mild illness to life threatening pneumonia and multi-organ failure. Severe COVID-19 is characterized by an inflammatory signature including high levels of inflammatory cytokines, alveolar inflammatory infiltrates and vascular microthrombi. Here we show that severe COVID-19 patients produced a unique serologic signature, including increased IgG1 with afucosylated Fc glycans. This Fc modification on SARS-CoV-2 IgGs enhanced interactions with the activating FcγR, FcγRIIIa; when incorporated into immune complexes, Fc afucosylation enhanced production of inflammatory cytokines by monocytes, including IL-6 and TNF. These results show that disease severity in COVID-19 correlates with the presence of afucosylated IgG1, a pro-inflammatory IgG Fc modification.

Identifiers

PMID32511463
PMCPMC7252581
OpenAlexW3024442653

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.