Evidence map›Paper›PMID 36865568›Full record

ArticlePathogens & immunity2022

Immune Dysregulation in Acute SARS-CoV-2 Infection.

Lauren Grimm, Chinyere Onyeukwu, Grace Kenny, Danielle M Parent, Jia Fu, Shaurya Dhingra, Emily Yang, James Moy, P J Utz, Russell Tracy and 1 more

Abstract read
In one paragraph

Article in Pathogens & immunity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Type I IFN autoantibodies underlie chikungunya live-attenuated vaccine encephalitis.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. A sensitive assay for measuring whole-blood responses to type I IFNs.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Review
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Lauren GrimmDepartment of Internal Medicine, RUSH University Medical Center, Chicago, IL.
Chinyere OnyeukwuDepartment of Internal Medicine, RUSH University Medical Center, Chicago, IL.
Grace KennyCentre for Experimental Pathogen Host Research, University College Dublin, Ireland; Department of Infectious Diseases, St Vincent's University Hospital, Dublin, Ireland.
Danielle M ParentDepartment of Pathology and Laboratory Medicine and Department of Biochemistry, University of Vermont Larner College of Medicine, Burlington, VT.
Jia FuDepartment of Internal Medicine, RUSH University Medical Center, Chicago, IL.
Shaurya DhingraDivision of Immunology, Department of Medicine, Stanford University, Stanford, CA.
Emily YangDivision of Immunology, Department of Medicine, Stanford University, Stanford, CA.
James MoyDepartment of Internal Medicine, RUSH University Medical Center, Chicago, IL.
P J UtzDivision of Immunology, Department of Medicine, Stanford University, Stanford, CA.
Russell TracyDepartment of Pathology and Laboratory Medicine and Department of Biochemistry, University of Vermont Larner College of Medicine, Burlington, VT.
Alan LandayDepartment of Internal Medicine, RUSH University Medical Center, Chicago, IL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Neutralizing antibodies have been shown to develop rapidly following SARS-CoV-2 infection, specifically against spike (S) protein, where cytokine release and production is understood to drive the humoral immune response during acute infection. Thus, we evaluated the quantity and function of antibodies across disease severities and analyzed the associated inflammatory and coagulation pathways to identify acute markers that correlate with antibody response following infection. Methods: Blood samples were collected from patients at time of diagnostic SARS-CoV-2 PCR testing between March 2020-November 2020. Plasma samples were analyzed using the MesoScale Discovery (MSD) Platform using the COVID-19 Serology Kit and U-Plex 8 analyte multiplex plate to measure anti-alpha and beta coronavirus antibody concentration and ACE2 blocking function, as well as plasma cytokines. Results: A total of 230 (181 unique patients) samples were analyzed across the 5 COVID-19 disease severities. We found that antibody quantity directly correlated with functional ability to block virus binding to membrane-bound ACE2, where a lower SARS-CoV-2 anti-spike/anti-RBD response corresponded with a lower antibody blocking potential compared to higher antibody response (anti-S1 r = 0.884, Conclusion: Previous studies have shown that proinflammatory markers, including IL-6, IL-8, IL-1β, and TNFα, are significant predictors of COVID-19 disease severity, regardless of demographics or comorbidities. Our study demonstrated that not only are these proinflammatory markers, as well as IL-4, ICAM, and Syndecan, correlative of disease severity, they are also correlative of antibody quantity and quality following SARS-CoV-2 exposure.

Indexed as

adaptive immunityautoantibodiescytokinesSARS-CoV-2spike antibody

Identifiers

PMID36865568
PMCPMC9973727

What OpenQuestion holds

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Registered trials

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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.