# Imbalanced immune cell network and suboptimal cell activation: signatures associated with disease severity in vaccine-naïve COVID-19 patients

**Authors:** Ranferi Ocaña-Guzman, Elvira Piten-Isidro, Julio Flores-Gonzalez, Lucero A. Ramon-Luing, Perla M. Del Rio-Estrada, Ramcés Falfán-Valencia, Gloria Pérez-Rubio, Ivette Buendia-Roldan, Moisés Selman, Leslie Chavez-Galan

PMC · DOI: 10.3389/fimmu.2026.1794103 · Frontiers in Immunology · 2026-03-10

## TL;DR

The study finds that severe vaccine-naïve COVID-19 patients have disrupted immune cell networks and poor T-cell activation, leading to worse outcomes.

## Contribution

The study identifies novel immune signatures in severe vaccine-naïve COVID-19 patients beyond cytokine storm, linking them to disease severity.

## Key findings

- IMV patients show disrupted immune cell networks with loss of PD-1- and LAG-3-expressing T cells.
- IMV patients have increased T cells with inflammatory and cell death markers and reduced CD8+ T-cell activation.
- B-cell and monocyte subsets in IMV patients show altered immune checkpoint expression and depletion of regulatory subsets.

## Abstract

COVID-19 vaccination has significantly reduced mortality and morbidity. Recent studies in unvaccinated people indicate a more complex immune response beyond just the cytokine storm. Understanding changes in the immune cell network is crucial for identifying vaccine-independent immune imbalances, especially in vaccine-naïve patients needing invasive mechanical ventilation (IMV). This knowledge could help improve vaccine development and find biomarkers linked to severe COVID-19.

Peripheral blood immune cells from vaccine-naïve COVID-19 patients from the first pandemic wave were classified into those who required IMV and those who did not (No-IMV). High-dimensional immune phenotyping was performed using multiparametric flow cytometry combined with FlowSOM clustering and UMAP for dimensionality reduction. Additionally, T-cell activation efficiency after polyclonal stimulation was evaluated in vitro.

IMV patients, but not No-IMV, exhibited a marked disruption of immune cell networks, characterized by a loss of immune checkpoint (IC)-expressing T-cell subsets, particularly PD-1- and LAG-3-expressing T cells. Conversely, there was an increase in the frequency of T cells co-expressing molecules linked to inflammatory pathways (TNF/TNFR) and cell death (CD95L). These changes were also associated with reduced CD8+ T-cell activation capacity and the rise of non-conventional cytotoxic CD4+ T-cell subsets. In the B-cell compartment, IMV patients displayed depletion of CCR7+ subsets and decreased PD-1 expression. Additionally, higher frequencies of NK and NKT cells expressing TNF pathway-related molecules were observed. While classical monocyte subsets expressing ICs such as PD-L1, PD-L2, and TIM-3 remained stable, non-classical monocyte subsets showed altered IC expression. In contrast, No-IMV patients maintained a relatively balanced immune architecture.

Vaccine-naïve COVID-19 patients requiring IMV display an immune landscape distinct from that of No-IMV patients. IMV exhibits a profound imbalance in innate and adaptive immune cell networks, characterized by inflammatory skewing, loss of regulatory subsets, and impaired cytotoxic T-cell functionality, features not observed in No-IMV. These findings reveal coordinated immune alterations beyond cytokine hyperinflammation and identify cellular immune signatures associated with severe COVID-19.

## Linked entities

- **Genes:** PDCD1 (programmed cell death 1) [NCBI Gene 5133], LAG3 (lymphocyte activating 3) [NCBI Gene 3902], TNF (tumor necrosis factor) [NCBI Gene 7124], TNFRSF1A (TNF receptor superfamily member 1A) [NCBI Gene 7132], FASLG (Fas ligand) [NCBI Gene 356], CCR7 (C-C motif chemokine receptor 7) [NCBI Gene 1236], CD274 (CD274 molecule) [NCBI Gene 29126], PDCD1LG2 (programmed cell death 1 ligand 2) [NCBI Gene 80380], HAVCR2 (hepatitis A virus cellular receptor 2) [NCBI Gene 84868]
- **Proteins:** CD8A (CD8 subunit alpha), CD4 (CD4 molecule)
- **Diseases:** COVID-19 (MONDO:0100096)

## Full-text entities

- **Genes:** TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, PDCD1 (programmed cell death 1) [NCBI Gene 5133] {aka ADMIO4, AIMTBS, CD279, PD-1, PD1, SLEB2}, PDCD1LG2 (programmed cell death 1 ligand 2) [NCBI Gene 80380] {aka B7DC, Btdc, CD273, PD-L2, PDCD1L2, PDL2}, FASLG (Fas ligand) [NCBI Gene 356] {aka ALPS1B, APT1LG1, APTL, CD178, CD95-L, CD95L}, CCR7 (C-C motif chemokine receptor 7) [NCBI Gene 1236] {aka BLR2, CC-CKR-7, CCR-7, CD197, CDw197, CMKBR7}, CD274 (CD274 molecule) [NCBI Gene 29126] {aka ADMIO5, B7-H, B7H1, PD-L1, PDCD1L1, PDCD1LG1}, TNFRSF1A (TNF receptor superfamily member 1A) [NCBI Gene 7132] {aka CD120a, FPF, TBP1, TNF-R, TNF-R-I, TNF-R55}, HAVCR2 (hepatitis A virus cellular receptor 2) [NCBI Gene 84868] {aka CD366, HAVcr-2, KIM-3, SPTCL, TIM3, TIMD-3}, LAG3 (lymphocyte activating 3) [NCBI Gene 3902] {aka CD223}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}
- **Diseases:** COVID-19 (MESH:D000086382), inflammatory (MESH:D007249)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13008623/full.md

## References

40 references — full list in the complete paper: https://tomesphere.com/paper/PMC13008623/full.md

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Source: https://tomesphere.com/paper/PMC13008623