# Rare genetic variant risks in patients with sepsis-associated acute respiratory distress syndrome

**Authors:** Eva Tosco-Herrera, Luis A. Rubio-Rodríguez, Adrián Muñoz-Barrera, David Jáspez, Eva Suárez-Pajes, Almudena Corrales, Aitana Alonso-González, Miryam Prieto-González, Aurelio Rodríguez-Pérez, Demetrio Carriedo, Jesús Blanco, Alfonso Ambrós, Leonardo Lorente, María M. Martín, Jordi Solé-Violán, Carlos Rodríguez-Gallego, Elena González-Higueras, Elena Espinosa, Arturo Muriel-Bombin, David Domínguez, Marina Soro, Tamara Hernández-Beeftink, José M. Añón, Jesús Villar, Beatriz Guillén-Guio, Itahisa Marcelino-Rodríguez, José M. Lorenzo-Salazar, Rafaela González-Montelongo, Carlos Flores

PMC · DOI: 10.1186/s12931-026-03588-4 · Respiratory Research · 2026-02-25

## TL;DR

This study identifies rare genetic variants linked to sepsis-associated ARDS, highlighting their role in biological pathways like Toll-like receptor cascades.

## Contribution

The study introduces a network-based approach to identify rare genetic variants contributing to ARDS risk, revealing novel gene clusters.

## Key findings

- 19 significant gene clusters were identified, each associated with ARDS risk.
- Rare variants in nine gene clusters were specifically linked to sepsis-associated ARDS.
- Gene clusters were enriched in biological pathways, including Toll-like receptor cascades.

## Abstract

Acute respiratory distress syndrome (ARDS) is a complex, heterogeneous, and deadly condition often resulting from pulmonary lesions due to sepsis, among other causes. There is a lack of targeted therapies to specifically treat the patients. Common genetic factors in the population (frequency > 1%) have been associated with ARDS susceptibility, but systematic genetic screens of the role of rare genetic variants are lacking. We used the network of known molecular interactions to identify ARDS risks from clusters of biologically related genes containing qualifying variants (QVs) with frequency < 1% likely affecting function.

We conducted whole-exome sequencing in sepsis patients from the GEN-SEP cohort (n = 822, of which 272 developed ARDS). A network-based heterogeneity clustering algorithm was used to discover significant gene clusters (p < 1 × 10–5). Gene-set enrichment analysis and logistic regression models aggregating QVs were used for cross-verification to confirm consistency and deepen understanding of the effect sizes of gene clusters.

We identified 19 significant clusters (plowest = 3.29 × 10–10), each containing an average of 102 genes (11.6% mean similarity). QVs in nine gene clusters were associated with sepsis-associated ARDS (plowest = 1 × 10–5) but were not associated with 28-day survival. Clusters were enriched in several biological pathways, notably the Toll-like receptor cascades.

These results support a marked genetic heterogeneity underlying ARDS susceptibility and the presence of rare risk variants involving multiple biological processes that are associated with sepsis outcomes. Particularly, they underscore the importance of rare variants in genes of the Toll-like receptor cascades in the risk for sepsis-associated ARDS.

The online version contains supplementary material available at 10.1186/s12931-026-03588-4.

## Linked entities

- **Diseases:** acute respiratory distress syndrome (MONDO:0006502), ARDS (MONDO:0006502)

## Full-text entities

- **Diseases:** acute respiratory distress syndrome (MESH:D012128), sepsis (MESH:D018805)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

32 references — full list in the complete paper: https://tomesphere.com/paper/PMC13040698/full.md

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Source: https://tomesphere.com/paper/PMC13040698