Evidence map›Paper›PMID 35986181›Full record

ArticleNature biomedical engineering2022

Unbiased discovery of autoantibodies associated with severe COVID-19 via genome-scale self-assembled DNA-barcoded protein libraries.

Joel J Credle, Jonathan Gunn, Puwanat Sangkhapreecha, Daniel R Monaco, Xuwen Alice Zheng, Hung-Ji Tsai, Azaan Wilbon, William R Morgenlander, Andre Rastegar, Yi Dong and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Nature biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 53 citations in OpenAlex.

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  9. Type I IFN autoantibodies underlie chikungunya live-attenuated vaccine encephalitis.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

24 authors at 5 institutions in 2 countries.

Joel J Credle *Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jonathan Gunn *Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Puwanat SangkhapreechaInstitute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Daniel R MonacoInstitute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Xuwen Alice ZhengInstitute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Hung-Ji TsaiInstitute of Microbiology and Infection, School of Biosciences, University of Birmingham, Edgbaston, Birmingham, UK.
Azaan WilbonInstitute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
William R MorgenlanderInstitute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Andre RastegarInstitute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Yi DongCenter for Cell Dynamics and Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Sahana JayaramanInstitute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Lorenzo TosiDepartment of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA.
Biju ParekkadanDepartment of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA.
Alan N BaerDivision of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Mario RoedererImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA.
Evan M BlochDivision of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Aaron A R TobianDivision of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Israel ZyskindDepartment of Pediatrics, NYU Langone Medical Center, New York City, NY, USA.
Jonathan I SilverbergDepartment of Dermatology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Avi Z RosenbergDivision of Kidney-Urologic Pathology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Andrea L CoxDivision of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Tom LloydDepartment of Neurology and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Andrew L MammenDepartment of Neurology and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
H Benjamin LarmanInstitute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. hlarman1@jhmi.edu.ORCID http://orcid.org/0000-0001-7863-196X
Johns Hopkins University · USRutgers, The State University of New Jersey · USGeorge Washington University · USMaimonides Medical Center · USUniversity of Birmingham · GB

Funding

Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
A Functional genomics platform with integrated library cloning and molecular displayR01GM127353 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI LARMAN, HARRY BENJAMIN, PAREKKADAN, BIJU · 2018 to 2021
$1.4M
The Malaria Transfusion Risk (MATRix) StudyK23HL151826 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BLOCH, EVAN MARTIN · 2020 to 2024
$882k
NHLBI NIH HHS K23 HL151826NIGMS NIH HHS R01 GM127353NIGMS NIH HHS T32 GM136577
6 · The paper itself

Abstract

Pathogenic autoreactive antibodies that may be associated with life-threatening coronavirus disease 2019 (COVID-19) remain to be identified. Here, we show that self-assembled genome-scale libraries of full-length proteins covalently coupled to unique DNA barcodes for analysis by sequencing can be used for the unbiased identification of autoreactive antibodies in plasma samples. By screening 11,076 DNA-barcoded proteins expressed from a sequence-verified human ORFeome library, the method, which we named MIPSA (for Molecular Indexing of Proteins by Self-Assembly), allowed us to detect circulating neutralizing type-I and type-III interferon (IFN) autoantibodies in five plasma samples from 55 patients with life-threatening COVID-19. In addition to identifying neutralizing type-I IFN-α and IFN-ω autoantibodies and other previously known autoreactive antibodies in patient plasma, MIPSA enabled the detection of as yet unidentified neutralizing type-III anti-IFN-λ3 autoantibodies that were not seen in healthy plasma samples or in convalescent plasma from ten non-hospitalized individuals with COVID-19. The low cost and simple workflow of MIPSA will facilitate unbiased high-throughput analyses of protein-antibody, protein-protein and protein-small-molecule interactions.

Indexed as

AutoantibodiesCOVID-19COVID-19 SerotherapyGene LibraryHumansImmunization, PassiveInterferon-alphaAutoantibodiesInterferon-alpha

Identifiers

PMID35986181
PMCPMC10034860
OpenAlexW4292686948

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.