Evidence map›Paper›PMID 33460570›Full record

ArticleThe Lancet. Respiratory medicine2021

Lung microbiota predict chronic rejection in healthy lung transplant recipients: a prospective cohort study.

Michael P Combs, David S Wheeler, Jenna E Luth, Nicole R Falkowski, Natalie M Walker, John R Erb-Downward, Vibha N Lama, Robert P Dickson

Open access · greenAbstract read
In one paragraph

Article in The Lancet. Respiratory medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
16.7field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 92 citations in OpenAlex.

  1. Review
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  7. Lung allograft dysbiosis associates with immune response and primary graft dysfunction.The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2025
    Article
  8. Article
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  10. Review
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  13. Beyond the organ: lung microbiome shapes transplant indications and outcomes.European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery · 2024
    Review
  14. Review
  15. Longitudinal Lower Airway Microbial Signatures of Acute Cellular Rejection in Lung Transplantation.American journal of respiratory and critical care medicine · 2024
    Article
  16. Lung Transplant Outcomes Keep BUGging us: Acute Cellular Rejection and the Lung Microbiome.American journal of respiratory and critical care medicine · 2024
    Article
  17. Article
  18. Definitions of Dysbiosis in Chronic Lung Allograft Dysfunction and High Bacterial Biomass.American journal of respiratory and critical care medicine · 2024
    Article
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  20. Article
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

8 authors at 1 institution in 1 country.

Michael P CombsDivision of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA. Electronic address: micombs@med.umich.edu.
David S WheelerDivision of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.
Jenna E LuthDivision of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.
Nicole R FalkowskiDivision of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.
Natalie M WalkerDivision of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.
John R Erb-DownwardDivision of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.
Vibha N LamaDivision of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.
Robert P DicksonDivision of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA; Michigan Center for Integrative Research in Critical Care, Ann Arbor, MI, USA.
University of Michigan–Ann Arbor · US

Funding

PULMONARY CELLULAR AND MOLECULAR BIOLOGY TRAININGT32HL007749 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Robert Pickett Dickson · 1993 to 2026
$19.9M
Translational Dysregulation Driving Mesenchymal Cell Fibrogenic Transformation and Chronic Lung Allograft DysfunctionR01HL094622 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LAMA, VIBHA N · 2009 to 2023
$5.9M
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
Autotaxin Lysophophatidic acid pathway in bronchiolitis obliterans post-lung tranR01HL118017 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LAMA, VIBHA N · 2014 to 2017
$2.0M
The Role of the Microbiome in the Acute Respiratory Distress SyndromeK23HL130641 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DICKSON, ROBERT PICKETT · 2016 to 2020
$859k
NHLBI NIH HHS K23 HL130641NHLBI NIH HHS R01 HL094622NHLBI NIH HHS R01 HL118017NHLBI NIH HHS R01 HL144599NHLBI NIH HHS T32 HL007749
6 · The paper itself

Abstract

backgroundAlterations in the respiratory microbiome are common in chronic lung diseases, correlate with decreased lung function, and have been associated with disease progression. The clinical significance of changes in the respiratory microbiome after lung transplant, specifically those related to development of chronic lung allograft dysfunction (CLAD), are unknown. The aim of this study was to evaluate the effect of lung microbiome characteristics in healthy lung transplant recipients on subsequent CLAD-free survival.

methodsWe prospectively studied a cohort of lung transplant recipients at the University of Michigan (Ann Arbor, MI, USA). We analysed characteristics of the respiratory microbiome in acellular bronchoalveolar lavage fluid (BALF) collected from asymptomatic patients during per-protocol surveillance bronchoscopy 1 year after lung transplantation. For our primary endpoint, we evaluated a composite of development of CLAD or death at 500 days after the 1-year surveillance bronchoscopy. Our primary microbiome predictor variables were bacterial DNA burden (total 16S rRNA gene copies per mL of BALF, quantified via droplet digital PCR) and bacterial community composition (determined by bacterial 16S rRNA gene sequencing). Patients' lung function was followed serially at least every 3 months by spirometry, and CLAD was diagnosed according to International Society of Heart and Lung Transplant 2019 guidelines.

findingsWe analysed BALF from 134 patients, collected during 1-year post-transplant surveillance bronchoscopy between Oct 21, 2005, and Aug 25, 2017. Within 500 days of follow-up from the time of BALF sampling, 24 (18%) patients developed CLAD, five (4%) died before confirmed development of CLAD, and 105 (78%) patients remained CLAD-free with complete follow-up. Lung bacterial burden was predictive of CLAD development or death within 500 days of the surveillance bronchoscopy, after controlling for demographic and clinical factors, including immunosuppression and bacterial culture results, in a multivariable survival model. This relationship was evident when burden was analysed as a continuous variable (per log

interpretationAmong asymptomatic lung transplant recipients at 1-year post-transplant, increased lung bacterial burden is predictive of chronic rejection and death. The lung microbiome represents an understudied and potentially modifiable risk factor for lung allograft dysfunction.

fundingUS National Institutes of Health, Cystic Fibrosis Foundation, Brian and Mary Campbell and Elizabeth Campbell Carr research gift fund.

Indexed as

Lung TransplantationMicrobiotaChronic DiseaseCohort StudiesFemaleGraft RejectionHumansLungMaleMiddle AgedProspective StudiesTransplant Recipients

Identifiers

PMID33460570
PMCPMC8892628
OpenAlexW3118410608

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.