Evidence map›Paper›PMID 37288661›Full record

ArticleJCI insight2023

Autoantigen profiling reveals a shared post-COVID signature in fully recovered and long COVID patients.

Aaron Bodansky, Chung-Yu Wang, Aditi Saxena, Anthea Mitchell, Andrew F Kung, Saki Takahashi, Khamal Anglin, Beatrice Huang, Rebecca Hoh, Scott Lu and 17 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
10.7field-weighted citation impact, top 1% 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

41 citing papers in PubMed, 52 citations in OpenAlex.

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  13. CROI 2025: Acute and Postacute COVID-19.Topics in antiviral medicine · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 4 institutions in 2 countries.

Aaron BodanskyDivision of Pediatric Critical Care Medicine, UCSF, San Francisco, California, USA.
Chung-Yu WangChan Zuckerberg Biohub Network, San Francisco, California, USA.
Aditi SaxenaChan Zuckerberg Biohub Network, San Francisco, California, USA.
Anthea MitchellChan Zuckerberg Biohub Network, San Francisco, California, USA.
Andrew F KungDepartment of Biochemistry and Biophysics.
Saki TakahashiDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
Khamal AnglinDepartment of Epidemiology and Biostatistics.
Beatrice HuangDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
Rebecca HohDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
Scott LuDepartment of Epidemiology and Biostatistics.
Sarah A GoldbergDepartment of Epidemiology and Biostatistics.
Justin RomeroDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
Brandon TranDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
Raushun KirtikarDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
Halle GrebeDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
Matthew SoDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
Bryan GreenhouseDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
Matthew S DurstenfeldDivision of Cardiology, Department of Medicine.
Priscilla Y HsueDivision of Cardiology, Department of Medicine.
Joanna HellmuthDepartment of Neurology.
J Daniel KellyDepartment of Epidemiology and Biostatistics.
Jeffrey N MartinDepartment of Epidemiology and Biostatistics.
Mark S AndersonDiabetes Center.
Steven G DeeksDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
Timothy J HenrichDivision of Experimental Medicine, Department of Medicine, UCSF, San Francisco, California, USA.
Joseph L DeRisiDepartment of Biochemistry and Biophysics.
Michael J PelusoDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine.
Office of Infectious Diseases · USChan Zuckerberg Initiative (United States) · USUniversity of California, San Francisco · USDiabetes Australia · AU

Funding

Pediatric Scientist Development Program (PSDP) [K12]K12HD000850 · NICHD · YALE UNIVERSITY · PI Sallie R. Permar · 1987 to 2026
$44.1M
BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
Targeting Non Viral Markers of HIV PersistenceR01AI141003 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HENRICH, TIMOTHY JENSEN · 2018 to 2022
$4.9M
Evaluation of the Interplay between HIV and COVID-19 in a large urban safety-net HIV clinicR01AI158013 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GANDHI, MONICA, SPINELLI, MATTHEW A. · 2020 to 2023
$3.1M
UCSF Career Development Program in Cardiopulmonary, Hematologic, and Immunologic Comorbidities of HIV (CHIC)K12HL143961 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HSUE, PRISCILLA Y., HUANG, LAURENCE · 2018 to 2022
$1.8M
Mentoring translational scientists in international infectious disease researchK24AI144048 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Bryan R Greenhouse · 2019 to 2026
$1.6M
Characterizing the virologic and immunologic signatures of HIV exceptional controlK23AI157875 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PELUSO, MICHAEL JOSEPH · 2021 to 2025
$927k
Understanding the epidemiology and natural history of unrecognized Ebola virus infectionK23AI146268 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KELLY, JOHN DANIEL · 2019 to 2022
$748k
NHLBI NIH HHS K12 HL143961NIAID NIH HHS K23 AI146268NIAID NIH HHS K23 AI157875NIAID NIH HHS K24 AI144048NIAID NIH HHS L30 AI126521NIAID NIH HHS L30 AI147159NIAID NIH HHS R01 AI141003NIAID NIH HHS R01 AI158013NICHD NIH HHS K12 HD000850NIGMS NIH HHS T32 GM067547
6 · The paper itself

Abstract

Some individuals do not return to baseline health following SARS-CoV-2 infection, leading to a condition known as long COVID. The underlying pathophysiology of long COVID remains unknown. Given that autoantibodies have been found to play a role in severity of SARS-CoV-2 infection and certain other post-COVID sequelae, their potential role in long COVID is important to investigate. Here, we apply a well-established, unbiased, proteome-wide autoantibody detection technology (T7 phage-display assay with immunoprecipitation and next-generation sequencing, PhIP-Seq) to a robustly phenotyped cohort of 121 individuals with long COVID, 64 individuals with prior COVID-19 who reported full recovery, and 57 pre-COVID controls. While a distinct autoreactive signature was detected that separated individuals with prior SARS-CoV-2 infection from those never exposed to SARS-CoV-2, we did not detect patterns of autoreactivity that separated individuals with long COVID from individuals fully recovered from COVID-19. These data suggest that there are robust alterations in autoreactive antibody profiles due to infection; however, no association of autoreactive antibodies and long COVID was apparent by this assay.

Indexed as

COVID-19Post-Acute COVID-19 SyndromeAutoantibodiesAutoantigensHumansSARS-CoV-2AutoantibodiesAutoantigensAutoimmune diseasesCOVID-19

Identifiers

PMID37288661
PMCPMC10393220
OpenAlexW4379743194

What OpenQuestion holds

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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.