Evidence map›Paper›PMID 27391224›Full record

ArticleMicrobiome2016

Longitudinal analysis of the lung microbiota of cynomolgous macaques during long-term SHIV infection.

Alison Morris, Joseph N Paulson, Hisham Talukder, Laura Tipton, Heather Kling, Lijia Cui, Adam Fitch, Mihai Pop, Karen A Norris, Elodie Ghedin

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
13.1field-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

28 citing papers in PubMed, 56 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. What Makes the Gut-Lung Axis Working? From the Perspective of Microbiota and Traditional Chinese Medicine.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2024
    Review
  8. HIV-associated lung disease.Nature reviews. Disease primers · 2023
    Review
  9. Microbiota and mycobiota in bronchoalveolar lavage fluid of silicosis patients.Journal of occupational medicine and toxicology (London, England) · 2023
    Article
  10. The dynamic lung microbiome in health and disease.Nature reviews. Microbiology · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Microbiome Studies in Non-human Primates.Current HIV/AIDS reports · 2021
    Review
  16. Article
  17. Methods in Lung Microbiome Research.American journal of respiratory cell and molecular biology · 2020
    Review
  18. Article
  19. Review
  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

10 authors at 4 institutions in 2 countries.

Alison MorrisDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Joseph N PaulsonCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.
Hisham TalukderCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.
Laura TiptonDepartment of Biology, Center for Genomics & Systems Biology and College of Global Public Health, New York University, 12 Waverly Place, New York, NY, 10003, USA.
Heather KlingDepartment of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Lijia CuiTsinghua University School of Medicine, Beijing, China.
Adam FitchDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Mihai PopCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.
Karen A NorrisDepartment of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Elodie GhedinDepartment of Biology, Center for Genomics & Systems Biology and College of Global Public Health, New York University, 12 Waverly Place, New York, NY, 10003, USA. elodie.ghedin@nyu.edu.ORCID 0000-0002-1515-725X
University of Pittsburgh · USUniversity of Maryland, College Park · USHarvard University · USTsinghua University · CN

Funding

Algorithms and Software for the Assembly of Metagenomic DataR01AI100947 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI POP, MIHAI · 2013 to 2025
$7.4M
Viral Persistence and PathogenesisT32AI049820 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DELUCA, NEAL A. · 2001 to 2024
$5.5M
Pathogenesis of Obstruction/Emphysema and the Microbiome (POEM) in HIVU01HL098962 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GHEDIN, ELODIE, MORRIS, ALISON · 2009 to 2013
$3.8M
Immune response to Pneumocystis in simian model of AIDSR01HL077095 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NORRIS, KAREN A · 2005 to 2009
$2.4M
Pneumocystis and COPD in a Simian Model of AIDSR01HL083462 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NORRIS, KAREN A · 2005 to 2009
$1.9M
Mentoring and Patient-Oriented Research in HIV Obstructive Lung DiseaseK24HL123342 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MORRIS, ALISON · 2014 to 2018
$571k
NHLBI NIH HHS K24 HL123342NHLBI NIH HHS R01 HL077095NHLBI NIH HHS R01 HL083462NHLBI NIH HHS U01 HL098962NIAID NIH HHS R01 AI100947NIAID NIH HHS T32 AI049820
6 · The paper itself

Abstract

backgroundLongitudinal studies of the lung microbiome are challenging due to the invasive nature of sample collection. In addition, studies of the lung microbiome in human disease are usually performed after disease onset, limiting the ability to determine early events in the lung. We used a non-human primate model to assess lung microbiome alterations over time in response to an HIV-like immunosuppression and determined impact of the lung microbiome on development of obstructive lung disease. Cynomolgous macaques were infected with the SIV-HIV chimeric virus SHIV89.6P. Bronchoalveolar lavage fluid samples were collected pre-infection and every 4 weeks for 53 weeks post-infection. The microbiota was characterized at each time point by 16S ribosomal RNA (rRNA) sequencing.

resultsWe observed individual variation in the composition of the lung microbiota with a proportion of the macaques having Tropheryma whipplei as the dominant organism in their lungs. Bacterial communities varied over time both within and between animals, but there did not appear to be a systematic alteration due to SHIV infection. Development of obstructive lung disease in the SHIV-infected animals was characterized by a relative increase in abundance of oral anaerobes. Network analysis further identified a difference in community composition that accompanied the development of obstructive disease with negative correlations between members of the obstructed and non-obstructed groups. This emphasizes how species shifts can impact multiple other species, potentially resulting in disease.

conclusionsThis study is the first to investigate the dynamics of the lung microbiota over time and in response to immunosuppression in a non-human primate model. The persistence of oral bacteria in the lung and their association with obstruction suggest a potential role in pathogenesis. The lung microbiome in the non-human primate is a valuable tool for examining the impact of the lung microbiome in human health and disease.

Indexed as

ActinobacteriaAnimalsBacillotaBacteroidetesBronchoalveolar Lavage FluidFusobacteriaImmunosuppression TherapyLongitudinal StudiesLungMacaca fascicularisMicrobiotaProteobacteriaPulmonary Disease, Chronic ObstructiveRNA, Ribosomal, 16SSimian Immunodeficiency VirusTropherymaRNA, Ribosomal, 16S16S rRNAMicrobiotaSHIVTime series

Identifiers

PMID27391224
PMCPMC4939015
OpenAlexW2462648102

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.