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

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

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Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.1381
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Steven R. Gill, Mary T. Caserta, Edward E. Walsh, Chin‐Yi Chu et al.
Open Forum Infectious Diseases
Respiratory viral infections research
article

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

Steven R. Gill, Mary T. Caserta, Edward E. Walsh, Chin‐Yi Chu, Anthony Corbett, Ann Gill, Thomas J. Mariani, Xing Qiu
article en

Abstract

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

Open Forum Infectious DiseasesVol. 12(Supplement_1)
University of Rochester Medical Center (US), University of Rochester (US)
Openalex Percentile: Top 98%
Respiratory viral infections research
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