Evidence map›Paper›PMID 33952355›Full record

ArticleMicrobiome2021

Whole lung tissue is the preferred sampling method for amplicon-based characterization of murine lung microbiota.

Jennifer M Baker, Kevin J Hinkle, Roderick A McDonald, Christopher A Brown, Nicole R Falkowski, Gary B Huffnagle, Robert P Dickson

Erratum issuedAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Glucagon-Like Peptide 1 Receptor (Journal of asthma and allergy · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jennifer M BakerDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Kevin J HinkleDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, 6220 MSRB III/SPC 5642, 1150 W. Medical Center Dr, Ann Arbor, MI, 48109-5642, USA.
Roderick A McDonaldDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, 6220 MSRB III/SPC 5642, 1150 W. Medical Center Dr, Ann Arbor, MI, 48109-5642, USA.
Christopher A BrownDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, 6220 MSRB III/SPC 5642, 1150 W. Medical Center Dr, Ann Arbor, MI, 48109-5642, USA.
Nicole R FalkowskiDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, 6220 MSRB III/SPC 5642, 1150 W. Medical Center Dr, Ann Arbor, MI, 48109-5642, USA.
Gary B HuffnagleDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Robert P DicksonDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA. rodickso@med.umich.edu.ORCID http://orcid.org/0000-0002-6875-4277

Funding

Functional Analysis of the Pulmonary Microbiome during COPDR01HL121774 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HUFFNAGLE, GARY B · 2017 to 2020
$3.1M
Neonatal RSV infection and alteration of allergic immune responsesR01AI138348 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HUFFNAGLE, GARY B, LUKACS, NICHOLAS W · 2018 to 2022
$2.2M
The role of the lung microbiome in oxygen-induced lung injuryR01HL144599 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DICKSON, ROBERT PICKETT · 2019 to 2023
$2.1M
NHLBI NIH HHS R01 HL121774NHLBI NIH HHS R01 HL144599NIAID NIH HHS R01 AI138348
6 · The paper itself

Abstract

backgroundLow-biomass microbiome studies (such as those of the lungs, placenta, and skin) are vulnerable to contamination and sequencing stochasticity, which obscure legitimate microbial signal. While human lung microbiome studies have rigorously identified sampling strategies that reliably capture microbial signal from these low-biomass microbial communities, the optimal sampling strategy for characterizing murine lung microbiota has not been empirically determined. Performing accurate, reliable characterization of murine lung microbiota and distinguishing true microbial signal from noise in these samples will be critical for further mechanistic microbiome studies in mice.

resultsUsing an analytic approach grounded in microbial ecology, we compared bacterial DNA from the lungs of healthy adult mice collected via two common sampling approaches: homogenized whole lung tissue and bronchoalveolar lavage (BAL) fluid. We quantified bacterial DNA using droplet digital PCR, characterized bacterial communities using 16S rRNA gene sequencing, and systematically assessed the quantity and identity of bacterial DNA in both specimen types. We compared bacteria detected in lung specimens to each other and to potential source communities: negative (background) control specimens and paired oral samples. By all measures, whole lung tissue in mice contained greater bacterial signal and less evidence of contamination than did BAL fluid. Relative to BAL fluid, whole lung tissue exhibited a greater quantity of bacterial DNA, distinct community composition, decreased sample-to-sample variation, and greater biological plausibility when compared to potential source communities. In contrast, bacteria detected in BAL fluid were minimally different from those of procedural, reagent, and sequencing controls.

conclusionsAn ecology-based analytical approach discriminates signal from noise in this low-biomass microbiome study and identifies whole lung tissue as the preferred specimen type for murine lung microbiome studies. Sequencing, analysis, and reporting of potential source communities, including negative control specimens and contiguous biological sites, are crucial for biological interpretation of low-biomass microbiome studies, independent of specimen type. Video abstract.

Indexed as

MicrobiotaAnimalsBacteriaDNA, BacterialFemaleLungMicePregnancyRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16S16S rRNA gene amplicon sequencingBronchoalveolar lavageLung microbiomeWhole lung tissue

Identifiers

PMID33952355
PMCPMC8101028

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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.