Evidence map›Paper›PMID 34338230›Full record

ReviewThe Journal of clinical investigation2021

The lung microbiome: progress and promise.

Samantha A Whiteside, John E McGinniss, Ronald G Collman

Abstract readReview
In one paragraph

Review in The Journal of clinical investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 3 pooled it
–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

126 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Establishment of anmSystems · 2026
    Article
  5. Review
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66 more citing papers are in PubMed but not listed here.

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

3 authors.

Samantha A Whiteside
John E McGinniss
Ronald G Collman

Funding

Institutional Clinical and Translational Science AwardKL2TR001879 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI MEAGHER, EMMA ANNE · 2016 to 2025
$13.7M
The Lung DNA Virome in Health and DiseaseR33HL137063 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI BUSHMAN, FREDERIC D, COLLMAN, RONALD G · 2019 to 2021
$2.3M
Host-microbiome interactions after lung transplantation and chronic lung allograft dysfunctionK23HL158068 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI MCGINNISS, JOHN EVAN · 2021 to 2022
$387k
NCATS NIH HHS KL2 TR001879NHLBI NIH HHS K23 HL158068NHLBI NIH HHS L30 HL149040NHLBI NIH HHS R33 HL137063
6 · The paper itself

Abstract

The healthy lung was long thought of as sterile, but recent advances using molecular sequencing approaches have detected bacteria at low levels. Healthy lung bacteria largely reflect communities present in the upper respiratory tract that enter the lung via microaspiration, which is balanced by mechanical and immune clearance and likely involves limited local replication. The nature and dynamics of the lung microbiome, therefore, differ from those of ecological niches with robust self-sustaining microbial communities. Aberrant populations (dysbiosis) have been demonstrated in many pulmonary diseases not traditionally considered microbial in origin, and potential pathways of microbe-host crosstalk are emerging. The question now is whether and how dysbiotic microbiota contribute to initiation or perpetuation of injury. The fungal microbiome and virome are less well studied. This Review highlights features of the lung microbiome, unique considerations in studying it, examples of dysbiosis in selected disease, emerging concepts in lung microbiome-host interactions, and critical areas for investigation.

Indexed as

LungLung DiseasesMycobiomeViromeAnimalsHumans

Identifiers

PMID34338230
PMCPMC8321564

What OpenQuestion holds

Textmetadata
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.