Evidence map›Paper›PMID 30301469›Full record

ArticleMicrobiome2018

Profiling the airway in the macaque model of tuberculosis reveals variable microbial dysbiosis and alteration of community structure.

Anthony M Cadena, Yixuan Ma, Tao Ding, MacKenzie Bryant, Pauline Maiello, Adam Geber, Philana Ling Lin, JoAnne L Flynn, Elodie Ghedin

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 44 citations in OpenAlex.

  1. Upper respiratory tract commensalJournal of thoracic disease · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Host tracheal and intestinal microbiomes inhibitbioRxiv : the preprint server for biology · 2023
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Methods in Lung Microbiome Research.American journal of respiratory cell and molecular biology · 2020
    Review
  19. Article
  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

9 authors at 4 institutions in 1 country.

Anthony M CadenaDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Yixuan MaCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, USA.
Tao DingCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, USA.
MacKenzie BryantDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Pauline MaielloDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Adam GeberCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, USA.
Philana Ling LinDepartment of Pediatrics, Children's Hospital of Pittsburgh of University of Pittsburgh Medical Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
JoAnne L FlynnDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. joanne@pitt.edu.
Elodie GhedinCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, USA. elodie.ghedin@nyu.edu.ORCID 0000-0002-1515-725X
New York University · USUniversity of Pittsburgh · USBeth Israel Deaconess Medical Center · USChildren's Hospital of Pittsburgh · US

Funding

Autoimmunity and Immunopathology Training ProgramT32AI089443 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SHLOMCHIK, MARK J · 2010 to 2024
$6.6M
HIV-TB Co-infection: Tracking TB emergence after asymptomatic (latent) infectionR01AI111871 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIN, PHILANA LING · 2014 to 2018
$3.3M
The Effects of M. tuberculosisInfection on Lung Microbiome in MacaquesR03AI122067 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FLYNN, JOANNE L., LIN, PHILANA LING · 2016 to 2017
$169k
NIAID NIH HHS R01 AI111871NIAID NIH HHS R03 AI122067NIAID NIH HHS T32 AI089443
6 · The paper itself

Abstract

backgroundThe specific interactions of Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis (TB), and the lung microbiota in infection are entirely unexplored. Studies in cancer and other infectious diseases suggest that there are important exchanges occurring between host and microbiota that influence the immunological landscape. This can result in alterations in immune regulation and inflammation both locally and systemically. To assess whether Mtb infection modifies the lung microbiome, and identify changes in microbial abundance and diversity as a function of pulmonary inflammation, we compared infected and uninfected lung lobe washes collected serially from 26 macaques by bronchoalveolar lavage over the course of infection.

resultsWe found that Mtb induced an initial increase in lung microbial diversity at 1 month post infection that normalized by 5 months of infection across all macaques. Several core genera showed global shifts from baseline and throughout infection. Moreover, we identified several specific taxa normally associated with the oral microbiome that increased in relative abundance in the lung following Mtb infection, including SR1, Aggregatibacter, Leptotrichia, Prevotella, and Campylobacter. On an individual macaque level, we found significant heterogeneity in both the magnitude and duration of change within the lung microbial community that was unrelated to lung inflammation and lobe involvement as seen by positron emission tomography/computed tomography (PET/CT) imaging. By comparing microbial interaction networks pre- and post-infection using the predictive algorithm SPIEC-EASI, we observe that extra connections are gained by Actinomycetales, the order containing Mtb, in spite of an overall reduction in the number of interactions of the whole community post-infection, implicating Mtb-driven ecological reorganization within the lung.

conclusionsThis study is the first to probe the dynamic interplay between Mtb and host microbiota longitudinally and in the macaque lung. Our findings suggest that Mtb can alter the microbial landscape of infected lung lobes and that these interactions induce dysbiosis that can disrupt oral-airway boundaries, shift overall lung diversity, and modulate specific microbial relationships. We also provide evidence that this effect is heterogeneous across different macaques. Overall, however, the changes to the airway microbiota after Mtb infection were surprisingly modest, despite a range of Mtb-induced pulmonary inflammation in this cohort of macaques.

Indexed as

ActinomycetalesAnimalsBronchoalveolar Lavage FluidDysbiosisGammaproteobacteriaLungMacaca fascicularisMicrobial InteractionsMicrobiotaMycobacterium tuberculosisPositron Emission Tomography Computed TomographyRNA, Ribosomal, 16SSequence Analysis, DNATuberculosis, PulmonaryRNA, Ribosomal, 16S16S rRNA geneCynomolgus macaqueLung and airway microbiotaMicrobiomeMycobacterium tuberculosis

Identifiers

PMID30301469
PMCPMC6178261
OpenAlexW2897500516

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.