Evidence map›Paper›PMID 35247047›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

Age-Related Changes in the Nasopharyngeal Microbiome Are Associated With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection and Symptoms Among Children, Adolescents, and Young Adults.

Jillian H Hurst, Alexander W McCumber, Jhoanna N Aquino, Javier Rodriguez, Sarah M Heston, Debra J Lugo, Alexandre T Rotta, Nicholas A Turner, Trevor S Pfeiffer, Thaddeus C Gurley and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 4% of its field
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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  12. International journal of systematic and evolutionary microbiology · 2025
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  17. Understanding the influence of the microbiome on childhood infections.Expert review of anti-infective therapy · 2024
    Review
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  20. Intracranial complications of sinogenic and otogenic infections in children: an ESPN survey on their occurrence in the pre-COVID and post-COVID era.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 1 institution in 1 country.

Jillian H HurstDivision of Infectious Diseases, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA.ORCID 0000-0001-5079-9920
Alexander W McCumberDivision of Infectious Diseases, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA.
Jhoanna N AquinoDivision of Infectious Diseases, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA.
Javier RodriguezChildren's Clinical Research Unit, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA.
Sarah M HestonDivision of Infectious Diseases, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA.
Debra J LugoDivision of Infectious Diseases, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA.
Alexandre T RottaDivision of Pediatric Critical Care Medicine, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA.
Nicholas A TurnerDivision of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
Trevor S PfeifferDivision of Infectious Diseases, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA.
Thaddeus C GurleyDuke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, USA.
M Anthony MoodyDivision of Infectious Diseases, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA.
Thomas N DennyDuke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, USA.
John F RawlsDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, North Carolina, USA.
James S ClarkNicholas School of the Environment, Duke University, Durham, North Carolina, USA.
Christopher W WoodsDivision of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
Matthew S KellyDivision of Infectious Diseases, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA.
Duke University · US

Funding

University Training Program in Biomolecular & Tissue EngineeringT32GM008555 · NIGMS · DUKE UNIVERSITY · PI GERSBACH, CHARLES A. · 1994 to 2021
$8.1M
Unified Program for Therapeutics in Children (UPTiC)T32HD094671 · NICHD · DUKE UNIVERSITY · PI Ian J Davis, Kanecia Obie Zimmerman · 2019 to 2026
$2.9M
Nasopharyngeal Microbiome and Risk of Bacterial Pathogen Colonization in InfantsK23AI135090 · NIAID · DUKE UNIVERSITY · PI KELLY, MATTHEW SCOTT · 2018 to 2022
$860k
Rational identification of Corynebacterium strains for use as probioticsR21AI154081 · NIAID · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI KELLY, MATTHEW SCOTT, SEED, PATRICK C. · 2022 to 2023
$439k
NIAID NIH HHS K23 AI135090NIAID NIH HHS R21 AI154081NICHD NIH HHS T32 HD094671NIH HHS T32GM008555
6 · The paper itself

Abstract

backgroundChildren are less susceptible to SARS-CoV-2 infection and typically have milder illness courses than adults, but the factors underlying these age-associated differences are not well understood. The upper respiratory microbiome undergoes substantial shifts during childhood and is increasingly recognized to influence host defense against respiratory pathogens. Thus, we sought to identify upper respiratory microbiome features associated with SARS-CoV-2 infection susceptibility and illness severity.

methodsWe collected clinical data and nasopharyngeal swabs from 285 children, adolescents, and young adults (<21 years) with documented SARS-CoV-2 exposure. We used 16S ribosomal RNA gene sequencing to characterize the nasopharyngeal microbiome and evaluated for age-adjusted associations between microbiome characteristics and SARS-CoV-2 infection status and respiratory symptoms.

resultsNasopharyngeal microbiome composition varied with age (PERMANOVA, P < .001; R2 = 0.06) and between SARS-CoV-2-infected individuals with and without respiratory symptoms (PERMANOVA, P  = .002; R2 = 0.009). SARS-CoV-2-infected participants with Corynebacterium/Dolosigranulum-dominant microbiome profiles were less likely to have respiratory symptoms than infected participants with other nasopharyngeal microbiome profiles (OR: .38; 95% CI: .18-.81). Using generalized joint attributed modeling, we identified 9 bacterial taxa associated with SARS-CoV-2 infection and 6 taxa differentially abundant among SARS-CoV-2-infected participants with respiratory symptoms; the magnitude of these associations was strongly influenced by age.

conclusionsWe identified interactive relationships between age and specific nasopharyngeal microbiome features that are associated with SARS-CoV-2 infection susceptibility and symptoms in children, adolescents, and young adults. Our data suggest that the upper respiratory microbiome may be a mechanism by which age influences SARS-CoV-2 susceptibility and illness severity.

Indexed as

COVID-19MicrobiotaAdolescentBacteriaChildHumansNasopharynxSARS-CoV-2Young AdultCorynebacteriumCOVID-19Dolosigranulumgeneralized joint attribute modelingpediatric microbiota

Identifiers

PMID35247047
PMCPMC8903463
OpenAlexW4214855554

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.