EPIGENETIC SIGNATURES OF SEVERE RSV INFECTION IN INFANTS: EVIDENCE FROM NON-INVASIVE SALIVA SAMPLES

Respiratory syncytial virus (RSV) poses significant morbidity and mortality risks in childhood, particularly among previously healthy infants hospitalized without predisposing risk factors for severe disease. This study aimed to investigate the role of the host epigenome in RSV infection severity using non-invasive buccal swabs from sixteen hospitalized infants. Eight patients exhibited severe symptoms, while eight had mild to moderate symptoms. DNA methylation analysis was performed using the Illumina EPIC BeadChip on DNA isolated from saliva samples. A cohort of healthy children served as controls to assess baseline DNA methylation levels of identified biomarkers. Candidate gene methylation levels were further validated by pyrosequencing in both the discovery and validation cohorts. A panel of differentially methylated positions (DMPs) distinguishing severe from mild to moderate RSV symptoms in infants was identified. DMPs were determined using a threshold of adjusted P-value (false discovery rate, FDR) < 0.01 and an absolute DNA methylation difference (delta beta) > 0.10. Differentially methylated regions (DMRs) were identified in genes implicated in asthma, pulmonary disease, and viral infections. The differential DNA methylation of these genes was validated in an independent replication cohort. A weighted correlation network analysis highlighted the pivotal role of a module with a hub gene crucial in regulating viral infections. Oral mucosa methylation may contribute to RSV disease severity in infants.

Authors

Institutions

Publication Details

Journal
Open Respiratory Archives
Published
2026-02-01
DOI
https://doi.org/10.1016/j.opresp.2026.100559
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EPIGENETIC SIGNATURES OF SEVERE RSV INFECTION IN INFANTS: EVIDENCE FROM NON-INVASIVE SALIVA SAMPLES

Jacobo Pardo-Seco, Sara Pischedda, Antonio Salas, Irene Rivero-Calle et al.
Open Respiratory Archives
Respiratory viral infections research
article

EPIGENETIC SIGNATURES OF SEVERE RSV INFECTION IN INFANTS: EVIDENCE FROM NON-INVASIVE SALIVA SAMPLES

Jacobo Pardo-Seco, Sara Pischedda, Antonio Salas, Irene Rivero-Calle, Xabier Bello, Sandra Viz-Lasheras, Ana I. Dacosta-Urbieta, Alberto Gomez-Carballa, Federico Martinon-Torres, Alba Camino-Mera
article en

Abstract

Respiratory syncytial virus (RSV) poses significant morbidity and mortality risks in childhood, particularly among previously healthy infants hospitalized without predisposing risk factors for severe disease. This study aimed to investigate the role of the host epigenome in RSV infection severity using non-invasive buccal swabs from sixteen hospitalized infants. Eight patients exhibited severe symptoms, while eight had mild to moderate symptoms. DNA methylation analysis was performed using the Illumina EPIC BeadChip on DNA isolated from saliva samples. A cohort of healthy children served as controls to assess baseline DNA methylation levels of identified biomarkers. Candidate gene methylation levels were further validated by pyrosequencing in both the discovery and validation cohorts. A panel of differentially methylated positions (DMPs) distinguishing severe from mild to moderate RSV symptoms in infants was identified. DMPs were determined using a threshold of adjusted P-value (false discovery rate, FDR) < 0.01 and an absolute DNA methylation difference (delta beta) > 0.10. Differentially methylated regions (DMRs) were identified in genes implicated in asthma, pulmonary disease, and viral infections. The differential DNA methylation of these genes was validated in an independent replication cohort. A weighted correlation network analysis highlighted the pivotal role of a module with a hub gene crucial in regulating viral infections. Oral mucosa methylation may contribute to RSV disease severity in infants.

Open Respiratory ArchivesVol. 8
Complejo Hospitalario Universitario de Santiago (ES), Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES), Instituto de Investigación Sanitaria de Santiago (ES)
Good health and well-being
Openalex Percentile: Top 58%
Respiratory viral infections research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.