Aller au contenu principal
Accès ouvert déclaré 2025 article

P-1198. Molecular and Microbiome/Metagenome Correlates of Illness in Respiratory Syncytial Virus (RSV) Infected Infants

0Citations signalées, ce qui n’est pas une note de qualité
2Institutions déclarées
1Pays d’affiliation déclarés

Rattachement africain : us. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

Abstract Background Respiratory syncytial virus (RSV) epidemics are a leading cause of hospitalization in infants. Those infants with severe illness appear more likely to develop recurrent wheeze. We aimed to test if airway gene expression and microbiome/metagenome composition in the nasal epithelium during primary RSV infection are associated with illness severity and can identify infants with recurrent wheeze.Table 1.Subject Characteristics Methods Healthy infants with PCR confirmed RSV were prospectively recruited from inpatient and outpatient locations over three seasons (Dec 2019 to Dec 2023). Clinical and demographic data, 2 anterior nasal swabs and a nasal wash were collected. Microbiome/metagenome analysis and transcriptome/RNA sequencing were performed on the nasal biospecimens. Disease severity was measured by the Global Respiratory Severity Score (GRSS) and retrained improved Global Respiratory Severity Score (iGRSS). Subjects were followed for 12 months to identify recurrent wheezing.Figure 1.Top 20 genes associated with iGRSS Results 100 (80 hospitalized) infants were enrolled. Two children were found to be ineligible leaving 98 for analysis. The average age was 3.2 (2.3 SD) months. 60 (61%) were male. A multivariate linear regression model was used to associate gene expression profiles with GRSS and iGRSS. After controlling false discovery rate (FDR) at 0.10 level, 283 genes were significantly associated with iGRSS (95 at 0.05). Gene expression changes involved both Innate Immune and Interleukin Signaling pathways. Metagenome analysis identified microbial species and the microbial metabolic state of the nares during acute infection. We found an abundance of Moraxella in the anterior nares was inversely associated with iGRSS while the abundance of Haemophilus was directly associated with iGRSS. We also identified 29 metabolic pathways associated with the iGRSS including coenzyme A biosynthesis I (procaryotic), mixed acid fermentation, Cavin-Benson-Bassham cycle and superpathways of branched chain amino acid biosynthesis.Figure 2.Bacterial Abundance vs. iGRSS Conclusion We enrolled a cohort of previously healthy infants with primary RSV infection and identified associations between host nasal gene expression, nasal microbiome/metagenome composition/activity and disease severity. We are currently testing for associations between these biomarkers and recurrent wheeze.Figure 3.Metabolic Pathways associated with iGRSS Disclosures Mary T. Caserta, MD, Merck: Grant/Research Support|Moderna: Grant/Research Support|Pfizer: Grant/Research Support Edward E. Walsh, MD, Enanta: Advisor/Consultant|Enanta: Honoraria|GSK: Advisor/Consultant|Janssen: Advisor/Consultant|Merck: Advisor/Consultant|Merck: Grant/Research Support|Pfizer: Advisor/Consultant|Pfizer: Grant/Research Support

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.

Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
P-1198. Molecular and Microbiome/Metagenome Correlates of Illness in Respiratory Syncytial Virus (RSV) Infected Infants
Date Crossref
29/01/2025
Éditeur
Oxford University Press (OUP)
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Respiratory viral infections researchCongenital Diaphragmatic Hernia StudiesNeonatal Respiratory Health Research

BNTIC News n’est pas le producteur de ces données. Les publications sont interrogées à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, AfricArXiv, ROR et la Banque mondiale, sans clé d’accès. OpenAlex reste optionnel. Aucun service payant n’est nécessaire et aucune donnée externe n’est enregistrée en base. Consulter les sources et leurs limites.