Evidence map›Paper›PMID 32511543›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Targeted Immunosuppression Distinguishes COVID-19 from Influenza in Moderate and Severe Disease.

Philip A Mudd, Jeremy Chase Crawford, Jackson S Turner, Aisha Souquette, Daniel Reynolds, Diane Bender, James P Bosanquet, Nitin J Anand, David A Striker, R Scott Martin and 9 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. T cell responses in patients with COVID-19.Nature reviews. Immunology · 2020
    Review
  3. COVID-19 and influenza: preparing for the storm.Nature reviews. Immunology · 2020
    Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 3 institutions in 1 country.

Jeremy Chase CrawfordORCID 0000-0003-4096-6048
Daniel Reynolds
James P Bosanquet
Nitin J Anand
David A Striker
R Scott Martin
Adrianus C M BoonORCID 0000-0002-4700-8224
Richard S Hotchkiss
Rachel M Presti
Jane A OHalloran
William G PowderlyORCID 0000-0001-7808-3086
Washington University in St. Louis · USMissouri Baptist Medical Center · USSt. Jude Children's Research Hospital · US

Funding

Enhancing Innate and Adaptive Immunity to Improve Sepsis SurvivalR35GM126928 · NIGMS · WASHINGTON UNIVERSITY · PI Richard Samuel Hotchkiss · 2018 to 2026
$4.7M
Impact of Red Blood Cell (RBC)-Derived DAMPs on Host Immune Response in Pediatric SepsisK08GM129763 · NIGMS · WASHINGTON UNIVERSITY · PI REMY, KENNETH EUGENE · 2018 to 2021
$714k
NIGMS NIH HHS K08 GM129763NIGMS NIH HHS R35 GM126928
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is characterized by a high incidence of acute respiratory failure. The underlying immunopathology of that failure and how it compares to other causes of severe respiratory distress, such as influenza virus infection, are not fully understood. Here we addressed this by developing a prospective observational cohort of COVID-19 and influenza subjects with varying degrees of disease severity and assessing the quality and magnitude of their immune responses at the cellular and protein level. Additionally, we performed single-cell RNA transcriptional profiling of peripheral blood mononuclear cells from select subjects. The cohort consists of 79 COVID-19 subjects, 26 influenza subjects, and 15 control subjects, including 35 COVID-19 and 7 influenza subjects with acute respiratory failure. While COVID-19 subjects exhibited largely equivalent or greater activated lymphocyte counts compared to influenza subjects, they had fewer monocytes and lower surface HLA-class II expression on monocytes compared to influenza subjects and controls. At least two distinct immune profiles were observed by cytokine levels in severe COVID-19 patients: 3 of 71 patients were characterized by extreme inflammation, with greater than or equal to ~50% of the 35 cytokines measured greater than 2 standard deviations from the mean level of other severe patients (both influenza and COVID-19); the other immune profile, which characterized 68 of 71 subjects, had a mixed inflammatory signature, where 28 of 35 cytokines in COVID-19 patients had lower mean cytokine levels, though not all were statistically significant. Only 2 cytokines were higher in COVID-19 subjects compared to influenza subjects (IL-6 and IL-8). Influenza and COVID-19 patients could be distinguished statistically based on cytokine module expression, particularly after controlling for the significant effects of age on cytokine expression, but again with lower levels of most cytokines in COVID-19 subjects. Further, high circulating levels of IL-1RA and IL-6 were associated with increased odds of intubation in the combined influenza and COVID-19 cohort [OR = 3.93 and 4.30, respectively] as well as among only COVID-19 patients. Single cell transcriptional profiling of COVID-19 and influenza subjects with respiratory failure identified profound suppression in type I and type II interferon signaling in COVID-19 patients across multiple clusters. In contrast, COVID-19 cell clusters were enriched for alterations in metabolic, stress, and apoptotic pathways. These alterations were consistent with an increased glucocorticoid response in COVID-19 patients compared to influenza. When considered across the spectrum of innate and adaptive immune profiles, the immune pathologies underlying severe influenza and COVID-19 are substantially distinct. The majority of COVID-19 patients with acute respiratory failure do not have a cytokine storm phenotype but instead exhibit profound type I and type II IFN immunosuppression when compared to patients with acute influenza. Upregulation of a small number of inflammatory mediators, including IL-6, predicts acute respiratory failure in both COVID-19 and influenza patients.

Identifiers

PMID32511543
PMCPMC7274224
OpenAlexW3032384973

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.