Evidence map›Paper›PMID 42897671›Full record

ArticleMicrobiome2026

Immunosuppression is associated with loss of airway microbiome resilience in severe COVID-19.

Matthew Chung, Clea R Barnett, Lars Hunger, Imran Sulaiman, Benjamin G Wu, Yonghua Li, Jun-Chieh J Tsay, Shari B Brosnahan, Cecilia J Chung, Luis Angel and 4 more

Abstract read
In one paragraph

Article in Microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Matthew ChungSystems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Clea R BarnettDivision of Pulmonary and Critical Care Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Lars HungerGutz Technologies, Corvina, CA, USA.
Imran SulaimanDivision of Pulmonary and Critical Care Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Benjamin G WuDivision of Pulmonary and Critical Care Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Yonghua LiDivision of Pulmonary and Critical Care Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Jun-Chieh J TsayDivision of Pulmonary and Critical Care Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Shari B BrosnahanDivision of Pulmonary and Critical Care Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Cecilia J ChungDepartment of Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Luis AngelDivision of Pulmonary and Critical Care Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Gregg J SilvermanDivision of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
James T MortonGutz Technologies, Corvina, CA, USA.
Leopoldo N SegalDivision of Pulmonary and Critical Care Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Elodie GhedinSystems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA. elodie.ghedin@nih.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of the lower airway microbiome in COVID-19-associated mortality remains poorly understood despite evidence implicating secondary pathogens and non-airway commensals. The influence of prior immunosuppression on the lower airway microbiome and its contribution to mortality in mechanically ventilated patients has been largely unexplored. Given that host-microbiome interactions are dynamic, we assessed longitudinal patterns in the respiratory microbiome associated with mortality and immunosuppression status.

resultsWe conducted longitudinal forecasting, differential abundance, and comparative network analyses of metatranscriptomic data from 604 upper and lower airway samples collected from 243 mechanically ventilated COVID-19 patients to profile key microbial factors associated with immunosuppression and clinical outcome. SARS-CoV-2 was enriched over time in immunosuppressed patients and in both immunosuppressed and immunocompetent patients who died, highlighting the need for aggressive viral infection control early in the disease course. Using longitudinal forecasting and differential abundance analyses, we observed a progressive increase in opportunistic pathogens, such as Staphylococcus aureus and Escherichia coli, among the taxa most predictive of mortality. Concurrently, immunosuppressed individuals exhibited a significant decrease in typical airway commensals alongside a restructuring and marked destabilization of the microbial community compared with their immunocompetent counterparts.

conclusionsThese findings indicate that loss of airway microbiome stability in immunosuppressed patients constitutes an independent factor contributing to increased susceptibility to opportunistic pathogens and poor clinical outcomes. Video Abstract.

Indexed as

COVID-19Immunocompromised HostImmunosuppression TherapyMicrobiotaRespiratory SystemAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedRespiration, ArtificialSARS-CoV-2Staphylococcus aureusCOVID-19ImmunosuppressionLower airway dysbiosisMetatranscriptomicsRespiratory microbiome

Identifiers

PMID42897671
PMCPMC13679178

What OpenQuestion holds

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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.