2023
DOI: 10.1038/s41467-023-40012-7
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Chronic inflammation, neutrophil activity, and autoreactivity splits long COVID

Matthew C. Woodruff,
Kevin S. Bonham,
Fabliha A. Anam
et al.

Abstract: While immunologic correlates of COVID-19 have been widely reported, their associations with post-acute sequelae of COVID-19 (PASC) remain less clear. Due to the wide array of PASC presentations, understanding if specific disease features associate with discrete immune processes and therapeutic opportunities is important. Here we profile patients in the recovery phase of COVID-19 via proteomics screening and machine learning to find signatures of ongoing antiviral B cell development, immune-mediated fibrosis, a… Show more

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Cited by 56 publications
(48 citation statements)
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References 38 publications
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“…Also informative were decreasing neutrophil degranulation and fibrosis signatures (Fig. 6b); both phenomena have been associated with long COVID [115, 116].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Also informative were decreasing neutrophil degranulation and fibrosis signatures (Fig. 6b); both phenomena have been associated with long COVID [115, 116].…”
Section: Resultsmentioning
confidence: 99%
“…UV-inactivated virus was used as a control to exclude responses to viral inoculation and restrict the analyses to effects arising from replicating virus. Features often associated with post-acute or long-COVID were not identified, for instance, there were no indications of prolonged infection [127], persistent inflammation [128], impaired lung regeneration [129], fibrosis [116], prolonged T cell activation [130], Th17 bias [131], chronic neutrophil activation [115] or clotting abnormalities [7].…”
Section: Discussionmentioning
confidence: 99%
“…Various groups have observed changes in the inflammatory and coagulation pathways in the plasma proteome of long COVID patients (86)(87)(88). To our knowledge, our study is the first to investigate changes to plasma proteomics following exercise intervention in PCC patients.…”
Section: Exercise Associated Molecular Changes In Pcc Patientsmentioning
confidence: 85%
“…1) was designed to weight the importances from each trained forest, and all “importance” values reported refer to the average fitness-weighted importance across all models. The objective was to give more weight to those with higher benchmarks on the validation sets (or higher generalizability) while penalizing information from highly overfit models, drawing inspiration from the approach used on another work using repeated CV on RFs with high-dimensional, low–sample size datasets ( 76 ). The resulting fitness-weighted importances were used to generate the values in Figs.…”
Section: Methodsmentioning
confidence: 99%