Evidence map›Paper›PMID 41884833›Full record

ArticleFrontiers in immunology2026

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

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

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ranferi Ocaña-GuzmanLaboratorio de Inmunología Integrativa, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
Elvira Piten-IsidroDepartamento de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
Julio Flores-GonzalezLaboratorio de Inmunología Integrativa, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
Lucero A Ramon-LuingLaboratorio de Inmunología Integrativa, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
Perla M Del Rio-EstradaDepartamento de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
Ramcés Falfán-ValenciaLaboratorio de Neumogenómica, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
Gloria Pérez-RubioLaboratorio de Inmunología Integrativa, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
Ivette Buendia-RoldanClínica de Investigación Traslacional en Envejecimiento y Enfermedades Fibrosantes, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
Moisés SelmanLaboratorio de Biopatología Pulmonar INER-Ciencias-UNAM, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
Leslie Chavez-GalanLaboratorio de Inmunología Integrativa, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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. Methods: 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 Results: 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 Conclusions: 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.

Indexed as

COVID-19Lymphocyte ActivationSARS-CoV-2AdultAgedFemaleHumansLymphocyte Activation Gene 3 ProteinMaleMiddle AgedProgrammed Cell Death 1 ReceptorSeverity of Illness IndexT-Lymphocyte SubsetsUnvaccinated PersonsLymphocyte Activation Gene 3 ProteinProgrammed Cell Death 1 Receptorcell activationCOVID-19immune cellsseverityvaccine-naïve

Identifiers

PMID41884833
PMCPMC13008623

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.