2023
DOI: 10.1101/2023.02.06.23285532
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Autoantigen profiling reveals a shared post-COVID signature in fully recovered and Long COVID patients

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 o… Show more

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Cited by 10 publications
(9 citation statements)
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“…These results are consistent with the ongoing immunologic perturbations that have been consistently observed in individuals experiencing LC 12, 2025 . Serological analyses have also found the presence of auto-antibodies during the acute or post-acute phases of infection to be associated with LC 1113 , although this has not been observed consistently 19,26,27 . Elevated levels of SARS-CoV-2 antibodies have also been associated with LC 19 .…”
Section: Introductionmentioning
confidence: 99%
“…These results are consistent with the ongoing immunologic perturbations that have been consistently observed in individuals experiencing LC 12, 2025 . Serological analyses have also found the presence of auto-antibodies during the acute or post-acute phases of infection to be associated with LC 1113 , although this has not been observed consistently 19,26,27 . Elevated levels of SARS-CoV-2 antibodies have also been associated with LC 19 .…”
Section: Introductionmentioning
confidence: 99%
“…We previously utilized PhIP‐Seq technology to identify an autoreactive signature distinctive of prior SARS‐CoV‐2 infection within our LIINC cohort. However, the autoreactivities contained within this signature were similarly present in individuals with and without Long COVID symptoms 30 . To determine whether participants with a high breadth of SARS‐CoV‐2 cross‐variant neutralization as defined above and in Figure 3B had a distinctive autoantibody signature, we reanalyzed these PhIP‐Seq data for this particular study population.…”
Section: Resultsmentioning
confidence: 99%
“…To determine whether high neutralization breadth was associated with autoimmunity, we reanalyzed previously described PhIP‐Seq data corresponding to certain individuals within this cohort (i.e., those with the top 15% of neutralization ID 50 s in both the original SARS‐CoV‐2 and BA.5 variant) which is publicly available at: https://doi.org/10.7272/Q6Z60M99 30 . Logistic regression machine‐learning classifiers were performed using our described methods, which have been previously used to feature‐weight autoantibody signal in multiple autoimmune and COVID‐related diseases 30,31 . Utilizing the Scikit‐learn package, logistic regression classifiers were applied to z ‐scored PhIP‐Seq values from individuals with a designated disease category versus the designated control.…”
Section: Methodsmentioning
confidence: 99%
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“…The prevalent induction of anti-IFN-α autoantibodies in the nasal mucosa of mild/moderate (> 70%) and severely-infected (> 95%) COVID-19 patients reveal that autoreactive B-cell clones against IFN-α are ubiquitously present in the population. Indeed, recent studies show that a broad new-onset autoantibody response against inflammatory cytokines and chemokines is a common feature of the immune response against COVID-19 (17, 37, 39), and their neutralizing capacity likely plays a role in attenuating hyperinflammatory responses during infection (40). Notably, these autoantibodies were not associated with increased disease severity but with an efficient resolution, similar to our findings for airway anti-IFN-α.…”
Section: Discussionmentioning
confidence: 99%