Evidence map›Paper›PMID 31020043›Full record

ArticlemSystems

Metabolic Modeling of Cystic Fibrosis Airway Communities Predicts Mechanisms of Pathogen Dominance.

Michael A Henson, Giulia Orazi, Poonam Phalak, George A O'Toole

Open access · goldAbstract read
In one paragraph

Article in mSystems. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
  2. Review
  3. mBio · 2025
    Article
  4. Review
  5. Deciphering and designing microbial communities by genome-scale metabolic modelling.Computational and structural biotechnology journal · 2024
    Review
  6. Article
  7. Genome-scale model ofMicrobiology spectrum · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Frontiers in cellular and infection microbiology · 2021
    Article
  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

4 authors at 2 institutions in 1 country.

Michael A HensonDepartment of Chemical Engineering and Institute for Applied Life Sciences, University of Massachusetts, Amherst, Massachusetts, USA.
Giulia OraziDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.
Poonam PhalakDepartment of Chemical Engineering and Institute for Applied Life Sciences, University of Massachusetts, Amherst, Massachusetts, USA.
George A O'TooleDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.ORCID https://orcid.org/0000-0002-2861-4392
Dartmouth College · USUniversity of Massachusetts Amherst · US

Funding

HOST-MICROBE INTERACTIONST32AI007519 · NIAID · DARTMOUTH COLLEGE · PI DEBORAH A HOGAN · 1997 to 2026
$5.9M
cdiGMP regulation of Biofilm FormationR37AI083256 · NIAID · DARTMOUTH COLLEGE · PI O'TOOLE, GEORGE A. · 2014 to 2023
$4.7M
Predictive Multiscale Modeling of Microbial Consortia BiofilmsU01EB019416 · NIBIB · MONTANA STATE UNIVERSITY - BOZEMAN · PI CARLSON, ROSS P., FIELDS, MATTHEW W · 2014 to 2017
$1.3M
Cellular Engineering Biotechnology Training ProgramT32GM108556 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI HARDY, JEANNE ANN, PEYTON, SHELLY R. · 2015 to 2019
$766k
NIAID NIH HHS R37 AI083256NIAID NIH HHS T32 AI007519NIBIB NIH HHS U01 EB019416NIGMS NIH HHS T32 GM108556
6 · The paper itself

Abstract

Cystic fibrosis (CF) is a fatal genetic disease characterized by chronic lung infections due to aberrant mucus production and the inability to clear invading pathogens. The traditional view that CF infections are caused by a single pathogen has been replaced by the realization that the CF lung usually is colonized by a complex community of bacteria, fungi, and viruses. To help unravel the complex interplay between the CF lung environment and the infecting microbial community, we developed a community metabolic model comprised of the 17 most abundant bacterial taxa, which account for >95% of reads across samples, from three published studies in which 75 sputum samples from 46 adult CF patients were analyzed by 16S rRNA gene sequencing. The community model was able to correctly predict high abundances of the "rare" pathogens Enterobacteriaceae,

Indexed as

community metabolismcystic fibrosismetabolic modelingmetabolite cross-feeding

Identifiers

PMID31020043
PMCPMC6478966
OpenAlexW2951201765

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.