Back

Exploratory analyses of Immunologic Features in a Randomized, Placebo-Controlled Trial of Nirmatrelvir/Ritonavir for Long COVID

Bhattacharjee, B.; Sawano, M.; Hooper, W. B.; Wang, K.; Tabachnikova, A.; Monteiro, V. S.; Lu, P.; Baevova, P.; Rodrigues, G. C.; Fisher, V. L.; Caraballo, C.; Khera, R.; Li, S.-X.; Herrin, J.; Christian, D.; Coppi, A.; Warner, F.; Holub, J.; Henriquez, Y.; Johnson, M. A.; Goddard, T. B.; Rocco, E.; Hummel, A. C.; Mouslmani, M. A.; Carr, K. D.; Charnas, L.; Jesus, M. D.; Nepert, D.; Abreu, P.; Ziegler, F. W.; Spertus, J.; Guan, L.; Krumholz, H.; Iwasaki, A.

2026-02-26 public and global health
10.64898/2026.02.24.26347001 medRxiv
Show abstract

This exploratory analysis of PAX LC, a Phase 2, 1:1 randomized, double-blind, superiority, placebo-controlled trial examined whether treatment with nirmatrelvir/ritonavir (NMV/r) versus placebo/ritonavir (PBO/r) in individuals with Long COVID could reveal immune features associated with symptom improvement. Eighty-two participants (n=45 PBO/r; n=37 NMV/r) provided blood samples at baseline (Day 0) and post-treatment (Day 28). Baseline demographic and immunological phenotypes were similar in the two groups. No significant differences were observed in major immune cell populations or organ function markers between NMV/r vs. PBO/r groups, or before vs. after the treatment. Modest hematologic changes were noted in the NMV/r arm. SARS-CoV-2-specific IgG levels remained constant, with changes in total immunoglobulin subtypes and isotypes in both arms. Both arms showed similar shifts in cytokine levels. Notably, the levels of S1 and Spike proteins in circulation remained unchanged post-treatment. Regardless of the treatment arm, participants with self-reported symptom improvement showed reductions in the level of the inflammatory chemokine RANTES. Taken together, the findings of this study demonstrate limited virological and immunological changes in response to nirmatrelvir, contributing insights into the reason for the lack of benefit of the 15-day NMV/r treatment in Long COVID.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.