Evidence map›Paper›PMID 36798288›Full record

ArticlemedRxiv : the preprint server for health sciences2023

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

Aaron Bodansky, Chung-Yu Wang, Aditi Saxena, Anthea Mitchell, Saki Takahashi, Khamal Anglin, Beatrice Huang, Rebecca Hoh, Scott Lu, Sarah A Goldberg and 16 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors.

Aaron BodanskyDivision of Pediatric Critical Care Medicine, University of California, San Francisco, San Francisco, CA, USA.
Chung-Yu WangChan Zuckerberg Biohub, San Francisco, CA, USA.
Aditi SaxenaChan Zuckerberg Biohub, San Francisco, CA, USA.
Anthea MitchellChan Zuckerberg Biohub, San Francisco, CA, USA.
Saki TakahashiDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
Khamal AnglinDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Beatrice HuangDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
Rebecca HohDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
Scott LuDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Sarah A GoldbergDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Justin RomeroDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
Brandon TranDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
Raushun KirtikarDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
Halle GrebeDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
Matthew SoDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
Bryan GreenhouseDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
Matthew S DurstenfeldDivision of Cardiology, University of California, San Francisco, San Francisco, CA, USA.
Priscilla Y HsueDivision of Cardiology, University of California, San Francisco, San Francisco, CA, USA.
Joanna HellmuthDepartment of Neurology University of California, San Francisco, San Francisco, CA, USA.
J Daniel KellyDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Jeffrey N MartinDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Mark S AndersonDiabetes Center, University of California, San Francisco, San Francisco, CA, USA.
Steven G DeeksDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
Timothy J HenrichDivision of Experimental Medicine, University of California, San Francisco, San Francisco, CA, USA.
Joseph L DeRisiChan Zuckerberg Biohub, San Francisco, CA, USA.
Michael J PelusoDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.

Funding

Pediatric Scientist Development Program (PSDP) [K12]K12HD000850 · NICHD · YALE UNIVERSITY · PI Sallie R. Permar · 1987 to 2026
$44.1M
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
NHLBI NIH HHS K12 HL143961NIAID NIH HHS K24 AI144048NIAID NIH HHS R01 AI141003NIAID NIH HHS R01 AI158013NICHD NIH HHS K12 HD000850
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 COVID 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 (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 which separates individuals with prior COVID infection from those never exposed to COVID, we did not detect patterns of autoreactivity that separate individuals with Long COVID relative to individuals fully recovered from SARS-CoV-2 infection. 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.

Identifiers

PMID36798288
PMCPMC9934805

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.