Evidence map›Paper›PMID 34504035›Full record

ArticleLife science alliance2021

Autoimmune anti-DNA and anti-phosphatidylserine antibodies predict development of severe COVID-19.

Claudia Gomes, Marisol Zuniga, Kelly A Crotty, Kun Qian, Nubia Catalina Tovar, Lawrence Hsu Lin, Kimon V Argyropoulos, Robert Clancy, Peter Izmirly, Jill Buyon and 5 more

Open access · goldAbstract read
In one paragraph

Article in Life science alliance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Postacute Sequelae of SARS-CoV-2: Musculoskeletal Conditions and Pain.Physical medicine and rehabilitation clinics of North America · 2023
    Review
  7. Article
  8. Article
  9. Revue francophone des laboratoires : RFL · 2022
    Article
  10. Review
  11. Article
  12. Revue francophone des laboratoires : RFL · 2022
    Article
  13. Article
  14. Review
  15. Patient-blood management for COVID19 convalescent plasma therapy: relevance of affinity and donor-recipient differences in concentration of neutralizing antibodies.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
    Review
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

15 authors at 2 institutions in 2 countries.

Claudia GomesDepartment of Microbiology, New York University Grossman School of Medicine, New York, NY, USA.
Marisol ZunigaDepartment of Microbiology, New York University Grossman School of Medicine, New York, NY, USA.
Kelly A CrottyDepartment of Microbiology, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0000-0001-8462-5275
Kun QianDivision of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Nubia Catalina TovarDepartment of Microbiology, New York University Grossman School of Medicine, New York, NY, USA.
Lawrence Hsu LinDepartment of Pathology, New York University Grossman School of Medicine, New York, NY, USA.
Kimon V ArgyropoulosDepartment of Pathology, New York University Grossman School of Medicine, New York, NY, USA.
Robert ClancyDivision of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Peter IzmirlyDivision of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Jill BuyonDivision of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
David C LeeDepartment of Emergency Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Maria Fernanda Yasnot-AcostaUniversidad de Córdoba, Montería, Córdoba, Colombia.ORCID 0000-0001-8081-4212
Huilin LiDivision of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Paolo CotziaDepartment of Pathology, New York University Grossman School of Medicine, New York, NY, USA.
Ana RodriguezDepartment of Microbiology, New York University Grossman School of Medicine, New York, NY, USA ana.rodriguez@nyumc.org.ORCID 0000-0002-0060-3405
New York University · USUniversity of Córdoba · CO

Funding

Psoriasis Center of Research TranslationP50AR070590 · NIAMS · CASE WESTERN RESERVE UNIVERSITY · PI COOPER, KEVIN D, MCCORMICK, THOMAS S · 2017 to 2021
$6.5M
NIAMS NIH HHS P50 AR070590
6 · The paper itself

Abstract

High levels of autoimmune antibodies are observed in COVID-19 patients but their specific contribution to disease severity and clinical manifestations remains poorly understood. We performed a retrospective study of 115 COVID-19 hospitalized patients with different degrees of severity to analyze the generation of autoimmune antibodies to common antigens: a lysate of erythrocytes, the lipid phosphatidylserine (PS) and DNA. High levels of IgG autoantibodies against erythrocyte lysates were observed in a large percentage (up to 36%) of patients. Anti-DNA and anti-PS antibodies determined upon hospital admission correlated strongly with later development of severe disease, showing a positive predictive value of 85.7% and 92.8%, respectively. Patients with positive values for at least one of the two autoantibodies accounted for 24% of total severe cases. Statistical analysis identified strong correlations between anti-DNA antibodies and markers of cell injury, coagulation, neutrophil levels and erythrocyte size. Anti-DNA and anti-PS autoantibodies may play an important role in the pathogenesis of COVID-19 and could be developed as predictive biomarkers for disease severity and specific clinical manifestations.

Indexed as

AdultAgedAged, 80 and overAntibodies, AntinuclearAutoantibodiesBiomarkersCOVID-19DNAErythrocytesFemaleHumansMaleMiddle AgedPhosphatidylserinesPrognosisRetrospective StudiesAntibodies, AntinuclearAutoantibodiesBiomarkersDNAPhosphatidylserines

Identifiers

PMID34504035
PMCPMC8441539
OpenAlexW3197281224

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.