Persistent serum protein signatures define an inflammatory subcategory of long COVID
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Aarthi Talla1
- Suhas V. Vasaikar1
- Gregory Lee Szeto1
- Maria P. Lemos2
- Julie L. Czartoski2
- Hugh MacMillan2
- Zoe Moodie2
- Kristen W. Cohen2
- Lamar B. Fleming2
- Zachary Thomson1
- Lauren Okada1
- Lynne A. Becker1
- Ernest M. Coffey1
- Stephen C. De Rosa2
- Evan W. Newell2
- Peter J. Skene1
- Xiaojun Li1
- Thomas F. Bumol1
- M. Juliana McElrath2
- Troy R. Torgerson1
- 1. Allen Institute for Immunology; Seattle, USA
- 2. Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, USA
Description
Readme:
This repository consists of the input data, figure source data and R-code to perform analysis and generate figures of the manuscript
Abstract:
Long COVID or post-acute sequelae of SARS-CoV-2 (PASC) is a clinical syndrome featuring diverse symptoms that can persist for months following acute SARS-CoV-2 infection. The aetiologies may include persistent inflammation, unresolved tissue damage or delayed clearance of viral protein or RNA, but the biological differences they represent are not fully understood. Here we evaluate the serum proteome in samples, longitudinally collected from 55 PASC individuals with symptoms lasting ≥60 days after onset of acute infection, in comparison to samples from symptomatically recovered SARS-CoV-2 infected and uninfected individuals. Our analysis indicates heterogeneity in PASC and identified subsets with distinct signatures of persistent inflammation. Type II interferon signaling and canonical NF-κB signaling (particularly associated with TNF), appear to be the most differentially enriched signaling pathways, distinguishing a group of patients characterized also by a persistent neutrophil activation signature. These findings help to clarify biological diversity within PASC, identify participants with molecular evidence of persistent inflammation, and highlight dominant pathways that may have diagnostic or therapeutic relevance, including a protein panel that we propose as diagnostic utility for differentiating inflammatory and non-inflammatory PASC.
Files
AIFI_PASC_Olink_with_Score.csv
Files
(21.7 MB)
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