Evidence map›Paper›PMID 37487417›Full record

ArticleEBioMedicine2023

Saliva microbiome in relation to SARS-CoV-2 infection in a prospective cohort of healthy US adults.

Abigail J S Armstrong, Daniel B Horton, Tracy Andrews, Patricia Greenberg, Jason Roy, Maria Laura Gennaro, Jeffrey L Carson, Reynold A Panettieri, Emily S Barrett, Martin J Blaser

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Abigail J S ArmstrongCenter for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, New Jersey, USA.
Daniel B HortonDepartment of Pediatrics, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA; Rutgers Center for Pharmacoepidemiology and Treatment Science, Institute for Health, Health Care Policy, and Aging Research, New Brunswick, New Jersey, USA; Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, USA.
Tracy AndrewsDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, USA.
Patricia GreenbergDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, USA.
Jason RoyDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, USA.
Maria Laura GennaroDepartment of Medicine, Public Health Research Institute, New Jersey Medical School, Rutgers University, Newark, New Jersey, USA.
Jeffrey L CarsonDepartment of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Reynold A PanettieriDepartment of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Emily S BarrettDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, USA; Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, New Jersey, USA.
Martin J BlaserCenter for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, New Jersey, USA. Electronic address: martin.blaser@cabm.rutgers.edu.
Rutgers, The State University of New Jersey · US

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI ROBERT John LAUMBACH · 1988 to 2026
$47.4M
New Jersey Alliance for Clinical Translational Science: NJ ACTSUL1TR003017 · NCATS · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI PANETTIERI, REYNOLD ALEXANDER · 2019 to 2023
$28.9M
COVID-19 Network of Networks Expanding Clinical and Translational approaches to Predict Severe Illness in Children (CONNECT to Predict SIck Children)R33HD105619 · NICHD · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI GENNARO, MARIA LAURA, HORTON, DANIEL BENJAMIN · 2023 to 2023
$3.0M
Cohort and biomarkers for COVID-19 severity, natural history, and reinfectionR01AI158911 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI BARRETT, EMILY S, BLASER, MARTIN J · 2021 to 2023
$2.6M
COVID-19 Network of Networks Expanding Clinical and Translational approaches to Predict Severe Illness in Children (CONNECT to Predict SIck Children)R61HD105619 · NICHD · RBHS-ROBERT WOOD JOHNSON MEDICAL SCHOOL · PI GENNARO, MARIA LAURA, HORTON, DANIEL BENJAMIN · 2021 to 2022
$1.6M
NCATS NIH HHS UL1 TR003017NICHD NIH HHS R33 HD105619NICHD NIH HHS R61 HD105619NIEHS NIH HHS P30 ES005022
6 · The paper itself

Abstract

backgroundThe clinical outcomes of SARS-CoV-2 infection vary in severity, potentially influenced by the resident human microbiota. There is limited consensus on conserved microbiome changes in response to SARS-CoV-2 infection, with many studies focusing on severely ill individuals. This study aimed to assess the variation in the upper respiratory tract microbiome using saliva specimens in a cohort of individuals with primarily mild to moderate disease.

methodsIn early 2020, a cohort of 831 adults without known SARS-CoV-2 infection was followed over a six-month period to assess the occurrence and natural history of SARS-CoV-2 infection. From this cohort, 81 participants with a SARS-CoV-2 infection, along with 57 unexposed counterparts were selected with a total of 748 serial saliva samples were collected for analysis. Total bacterial abundance, composition, population structure, and gene function of the salivary microbiome were measured using 16S rRNA gene and shotgun metagenomic sequencing.

findingsThe salivary microbiome remained stable in unexposed individuals over the six-month study period, as evidenced by all measured metrics. Similarly, participants with mild to moderate SARS-CoV-2 infection showed microbiome stability throughout and after their infection. However, there were significant reductions in microbiome diversity among SARS-CoV-2-positive participants with severe symptoms early after infection. Over time, the microbiome diversity in these participants showed signs of recovery.

interpretationThese findings demonstrate the resilience of the salivary microbiome in relation to SARS-CoV-2 infection. Mild to moderate infections did not significantly disrupt the stability of the salivary microbiome, suggesting its ability to maintain its composition and function. However, severe SARS-CoV-2 infection was associated with temporary reductions in microbiome diversity, indicating the limits of microbiome resilience in the face of severe infection.

fundingThis project was supported in part by Danone North America and grants from the National Institutes of Health, United States.

Indexed as

COVID-19MicrobiotaAdultHumansProspective StudiesRNA, Ribosomal, 16SSalivaSARS-CoV-2RNA, Ribosomal, 16SMicrobiomeSalivaSARS-CoV-2Upper respiratory track

Identifiers

PMID37487417
PMCPMC10382861
OpenAlexW4385143910

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.