Evidence map›Paper›PMID 37398658›Full record

ArticleFrontiers in immunology2023

Vascular and Non-HLA autoantibody profiles in hospitalized patients with COVID-19.

Brian Lichtenstein, Ying Zheng, David Gjertson, Kathie G Ferbas, Anne W Rimoin, Otto O Yang, Grace M Aldrovandi, Joanna M Schaenman, Elaine F Reed, Jennifer A Fulcher

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

10 authors at 2 institutions in 1 country.

Brian LichtensteinDivision of Hospital Medicine, Department of Internal Medicine, Sharp Rees-Stealy Medical Group, Sharp Healthcare, San Diego, CA, United States.
Ying ZhengDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
David GjertsonDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
Kathie G FerbasDivision of Infectious Diseases, Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
Anne W RimoinDepartment of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, United States.
Otto O YangDivision of Infectious Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
Grace M AldrovandiDivision of Infectious Diseases, Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
Joanna M SchaenmanDivision of Infectious Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
Elaine F ReedDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
Jennifer A FulcherDivision of Infectious Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
University of California, Los Angeles · USSharp Rees-Stealy Medical Group · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Severe COVID-19 illness is characterized by an overwhelming immune hyperactivation. Autoantibodies against vascular, tissue, and cytokine antigens have been detected across the spectrum of COVID-19. How these autoantibodies correlate with COVID-19 severity is not fully defined. Methods: We performed an exploratory study to investigate the expression of vascular and non-HLA autoantibodies in 110 hospitalized patients with COVID-19 ranging from moderate to critically ill. Relationships between autoantibodies and COVID- 19 severity and clinical risk factors were examined using logistic regression analysis. Results: There were no absolute differences in levels of expression of autoantibodies against angiotensin II receptor type 1 (AT1R) or endothelial cell proteins between COVID-19 severity groups. AT1R autoantibody expression also did not differ by age, sex, or diabetes status. Using a multiplex panel of 60 non- HLA autoantigens we did identify seven autoantibodies that differed by COVID-19 severity including myosin (myosin; p=0.02), SHC-transforming protein 3 (shc3; p=0.07), peroxisome proliferator-activated receptor gamma coactivator 1-beta (perc; p=0.05), glial-cell derived neurotrophic factor (gdnf; p=0.07), enolase 1 (eno1; p=0.08), latrophilin-1 (lphn1; p=0.08), and collagen VI (coll6; p=0.05) with greater breadth and higher expression levels seen in less severe COVID-19. Discussion: Overall, we found that patients hospitalized with COVID-19 demonstrate evidence of auto-reactive antibodies targeting endothelial cells, angiotensin II receptors, and numerous structural proteins including collagens. Phenotypic severity did not correlate with specific autoantibodies. This exploratory study underscores the importance of better understanding of the role of autoimmunity in COVID-19 disease and sequelae.

Indexed as

AutoantibodiesCOVID-19AutoimmunityEndothelial CellsHumansRisk FactorsAutoantibodiesangiotensin II receptor type 1 (AT1R)Anti-endothelial antibodiesautoantibodyCOVID-19Non-HLA antigens

Identifiers

PMID37398658
PMCPMC10309004
OpenAlexW4380680706

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.