Systems Immunology of Long Covid: Insights from the STOP-PASC Clinical Trial 2265936
Abstract
Abstract Introduction Post Acute Sequelae of COVID-19 (PASC), also called Long COVID, is an infection-associated chronic syndrome. Despite proposed viral persistence mechanisms, no therapeutic benefit was observed in randomized placebo-controlled trials of nirmatrelvir/ritonavir (NMV/r) in adults with Long COVID, including the Selective Trial of Paxlovid for PASC (STOP-PASC). This systems immunology analysis aimed to characterize immune profiles of participants during clinical trial intervention, identify biomarkers associated with patient-reported outcomes, and investigate potential mechanisms underlying Long COVID. Methods We performed comprehensive immunological profiling of 152 STOP-PASC trial participants using plasma proteomics (Olink® Explore HT 5400 panel), autoantigen arrays, viral serology, and microclot assays at baseline, day 15, and week 10. We assessed associations between immune features and patient-reported outcomes. We also conducted meta-analysis of nine independent Long COVID proteomics cohorts (n = 590 total samples) to identify conserved inflammatory signatures. Results NMV/r treatment at day 15 compared with baseline induced transient changes in plasma proteins that normalized by week 10, primarily impacting myeloid cell/monocyte, lysosome, and complement activation pathways. Cardiovascular symptoms were negatively associated with SARS-CoV-2 antibody levels at baseline. No widespread differences in autoantibody profiles, Epstein-Barr virus (EBV) reactivation, or microclotting were observed between STOP-PASC Long COVID participants, pre-pandemic controls, and individuals without Long COVID. Meta-analysis of publicly available Olink® data from Long COVID cohorts identified a conserved 60-protein Long COVID Signature (LCS) score revealing multi-compartment immune activation involving monocyte, neutrophil, and T/NK cell modules. Conclusion These findings advance our understanding of Long COVID immunology and may help direct future proteomic biomarker endpoints for Long COVID clinical trials. Funding Source Pfizer Topic Categories Computational and Systems Immunology (COMP)
Article Details
Journal Info
The Journal of Immunology
American Association of Immunologists
Authors (23)
Evan Maestri
Woo Joo Kwon
Stanford University
Hong Zheng
Center of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering
Tyler Prestwood
Stanford University
Haley Hedlin
Stanford University, Stanford, California, United States
Jane Liang
Stanford University, Kaiser Permanente
Holly McCann
Stanford University
Ben Jones
Rufei Lu
Oklahoma Medical Research Foundation
Graham Wiley
Oklahoma Medical Research Foundation
Emily Haraguchi
Stanford University
Oliver Wirz
Stanford University
Jumana Afaghani
Stanford University
Brandon Lam
Stanford University
Jeremy Wood
University of Kentucky
Scott Boyd
Stanford University
Joel Guthridge
Oklahoma Medical Research Foundation
Upinder Singh
Hector Bonilla
Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine
Prasanna Jagannathan
P J Utz
Stanford University
Linda Geng
Stanford University
Purvesh Khatri
Department of Microbiology and Immunology, Stanford University School of Medicine