Evidence map›Paper›PMID 34960822›Full record

ArticleViruses2021

Microarray-Based Detection of Antibodies against SARS-CoV-2 Proteins, Common Respiratory Viruses and Type I Interferons.

Elena Savvateeva, Marina Filippova, Vladimir Valuev-Elliston, Nurana Nuralieva, Marina Yukina, Ekaterina Troshina, Vladimir Baklaushev, Alexander Ivanov, Dmitry Gryadunov

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 13% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. 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
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

9 authors at 3 institutions in 1 country.

Elena SavvateevaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0003-3091-8245
Marina FilippovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
Vladimir Valuev-EllistonCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
Nurana NuralievaEndocrinology Research Centre, Ministry of Health of Russia, 117036 Moscow, Russia.ORCID 0000-0001-6876-3336
Marina YukinaEndocrinology Research Centre, Ministry of Health of Russia, 117036 Moscow, Russia.
Ekaterina TroshinaEndocrinology Research Centre, Ministry of Health of Russia, 117036 Moscow, Russia.
Vladimir BaklaushevFederal Scientific and Clinical Center of Specialized Types of Medical Care and Medical Technologies of the Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia.
Alexander IvanovCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-5659-9679
Dmitry GryadunovCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0003-3183-318X
Engelhardt Institute of Molecular Biology · RUMinistry of Health of the Russian Federation · RUFederal Medical-Biological Agency · RU

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2019-1660
6 · The paper itself

Abstract

A microarray-based assay to detect IgG and IgM antibodies against betacoronaviruses (SARS-CoV-2, SARS, MERS, OC43, and HKU1), other respiratory viruses and type I interferons (IFN-Is) was developed. This multiplex assay was applied to track antibody cross-reactivity due to previous contact with similar viruses and to identify antibodies against IFN-Is as the markers for severe COVID-19. In total, 278 serum samples from convalescent plasma donors, COVID-19 patients in the intensive care unit (ICU) and patients who recovered from mild/moderate COVID-19, vaccine recipients, prepandemic and pandemic patients with autoimmune endocrine disorders, and a heterogeneous prepandemic cohort including healthy individuals and chronically ill patients were analyzed. The anti-SARS-CoV-2 microarray results agreed well with the ELISA results. Regarding ICU patients, autoantibodies against IFN-Is were detected in 10.5% of samples, and 10.5% of samples were found to simultaneously contain IgM antibodies against more than two different viruses. Cross-reactivity between IgG against the SARS-CoV-2 nucleocapsid and IgG against the OC43 and HKU1 spike proteins was observed, resulting in positive signals for the SARS-CoV-2 nucleocapsid in prepandemic samples from patients with autoimmune endocrine disorders. The presence of IgG against the SARS-CoV-2 nucleocapsid in the absence of IgG against the SARS-CoV-2 spike RBD should be interpreted with caution.

Indexed as

Antibodies, ViralAntigens, ViralAutoantibodiesCOVID-19COVID-19 Serological TestingCross ReactionsHumansImmunoglobulin GImmunoglobulin MInterferon Type IProtein Array AnalysisRespiratory Tract DiseasesSARS-CoV-2VirusesAntibodies, ViralAntigens, ViralAutoantibodiesImmunoglobulin GImmunoglobulin MInterferon Type Iantibody responseautoantibodies to interferonscoronavirusesCOVID-19cross-reactivitymultiplex analysisprotein microarrayrespiratory virusesSARS-CoV-2

Identifiers

PMID34960822
PMCPMC8705234
OpenAlexW4200176923

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.