ArticleEBioMedicine2025
The nasal microbiome modulates risk for SARS-CoV-2 infection.
Article in EBioMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- The adult nasal mucosa is defined by distinct immune profiles that modulate in-vitro SARS-CoV-2 infection.Respiratory research · 2026Article
- The adult nasal mucosa is defined by distinct immune profiles that modulate in-vitro SARS-CoV-2 infection.Research square · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundThe nasal microbiome may influence host risk for COVID-19 by modulating the expression of key proteins that facilitate SARS-CoV-2 entry, including angiotensin-converting enzyme 2 (ACE2), which binds the virus, and transmembrane serine protease 2 (TMPRSS2), which activates viral entry into nasal epithelial cells. This study examined whether the expression levels of ACE2 and TMPRSS2 in the nasal cavity predict the risk of SARS-CoV-2 infection and whether the host nasal microbiome modulates their expression.
methodsUsing 1548 self-collected nasal swabs from a population-based surveillance testing of community-dwelling adults in Washington D.C., we conducted two retrospective case-control studies (cross-sectional: n = 111 cases and 343 controls; longitudinal: n = 97 cases, 286 controls) and a nasal microbiome study (n = 428). Cases, defined as individuals with a positive SARS-CoV-2 test, were matched with controls based on age and test date. Pre-infection samples were analysed. We measured nasal ACE2/TMPRSS2 expression using RT-qPCR and characterized the nasal microbiome using 16S rRNA gene-based qPCR and sequencing. We used machine learning and regression analysis to determine if nasal ACE2/TMPRSS2 expression predicts SARS-CoV-2 infection and whether the nasal microbiome influences their expression.
findingsElevated nasal ACE2/TMPRSS2 expression was associated with 3.6-fold increased risk of contracting COVID-19 (95% CI = 1.71-7.47) compared to those with no detectable levels of ACE2 or TMPRSS2. Before testing positive for SARS-CoV-2, cases also had significantly higher and more unstable ACE2/TMPRSS2 expression in their nasal cavity than controls. Having high densities of Staphylococcus aureus, Haemophilus influenzae, or Moraxella catarrhalis/nonliquefaciens was linked to increased nasal ACE2/TMPRSS2 expression. In contrast, having high densities of Dolosigranulum pigrum was associated with decreased nasal ACE2/TMPRSS2 expression.
interpretationThese results suggest that natural variation in the nasal microbiome significantly impacts ACE2/TMPRSS2 expression in the nasal cavity and the near-term risk of SARS-CoV-2 infection in adults. Modifying the nasal microbiome could potentially reduce COVID-19 risk.
fundingResearch reported in this article was supported by the Milken Institute School of Public Health, the George Washington University and the National Institute of Allergy and Infectious Diseases, National Institutes of Health under award number R01AI168182. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.