Systems Immunology of Long Covid: Insights from the STOP-PASC Clinical Trial 2265936

E Evan Maestri W Woo Joo Kwon (Stanford University) H Hong Zheng (Center of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering) T Tyler Prestwood (Stanford University) H Haley Hedlin (Stanford University, Stanford, California, United States) J Jane Liang (Stanford University, Kaiser Permanente) H Holly McCann (Stanford University) B Ben Jones R Rufei Lu (Oklahoma Medical Research Foundation) G Graham Wiley (Oklahoma Medical Research Foundation) E Emily Haraguchi (Stanford University) O Oliver Wirz (Stanford University) J Jumana Afaghani (Stanford University) B Brandon Lam (Stanford University) J Jeremy Wood (University of Kentucky) S Scott Boyd (Stanford University) J Joel Guthridge (Oklahoma Medical Research Foundation) U Upinder Singh H Hector Bonilla (Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine) P Prasanna Jagannathan P P J Utz (Stanford University) L Linda Geng (Stanford University) P Purvesh Khatri (Department of Microbiology and Immunology, Stanford University School of Medicine)

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

Volume / Issue Vol. 215, Issue Supplement_1
Published August 01, 2026
ISSN 0022-1767
Publisher American Association of Immunologists

Authors (23)

E

Evan Maestri

W

Woo Joo Kwon

Stanford University

H

Hong Zheng

Center of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering

T

Tyler Prestwood

Stanford University

H

Haley Hedlin

Stanford University, Stanford, California, United States

J

Jane Liang

Stanford University, Kaiser Permanente

H

Holly McCann

Stanford University

B

Ben Jones

R

Rufei Lu

Oklahoma Medical Research Foundation

G

Graham Wiley

Oklahoma Medical Research Foundation

E

Emily Haraguchi

Stanford University

O

Oliver Wirz

Stanford University

J

Jumana Afaghani

Stanford University

B

Brandon Lam

Stanford University

J

Jeremy Wood

University of Kentucky

S

Scott Boyd

Stanford University

J

Joel Guthridge

Oklahoma Medical Research Foundation

U

Upinder Singh

H

Hector Bonilla

Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine

P

Prasanna Jagannathan

P

P J Utz

Stanford University

L

Linda Geng

Stanford University

P

Purvesh Khatri

Department of Microbiology and Immunology, Stanford University School of Medicine