Evidence map›Paper›PMID 28375518›Full record

ArticleThe Journal of infectious diseases2017

Generation and Validation of the iKp1289 Metabolic Model for Klebsiella pneumoniae KPPR1.

Christopher S Henry, Ella Rotman, Wyndham W Lathem, Keith E J Tyo, Alan R Hauser, Mark J Mandel

Abstract readValidation Study
In one paragraph

Article in The Journal of infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Genome-scale metabolic modeling andFrontiers in cellular and infection microbiology · 2023
    Article
  5. A curated collection ofGenome research · 2022
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Network-Based Metabolism-Centered Screening of Potential Drug Targets inFrontiers in cellular and infection microbiology · 2019
    Article
  11. Article
  12. Review
  13. 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

6 authors.

Christopher S HenryMathematics and Computer Science Division, Argonne National Laboratory, Argonne.
Ella RotmanDepartment of Microbiology-Immunology.
Wyndham W LathemDepartment of Microbiology-Immunology.
Keith E J TyoDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois.
Alan R HauserDepartment of Microbiology-Immunology.
Mark J MandelDepartment of Microbiology-Immunology.

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Population Analysis of Pseudomonas aeruginosa VirulenceR01AI118257 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HAUSER, ALAN R · 2016 to 2025
$4.9M
Genetic Analysis of Beneficial Bacterial ColonizationR35GM119627 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI MANDEL, MARK J · 2016 to 2021
$2.2M
Patient-Oriented Research on Pseudomonas aeruginosaK24AI104831 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HAUSER, ALAN R · 2013 to 2024
$1.2M
Regulation of Bacterial Aggregation During Host ColonizationR21AI117262 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI MANDEL, MARK J · 2016 to 2017
$408k
NCATS NIH HHS UL1 TR001422NIAID NIH HHS K24 AI104831NIAID NIH HHS R01 AI118257NIAID NIH HHS R21 AI117262NIGMS NIH HHS R35 GM119627
6 · The paper itself

Abstract

Klebsiella pneumoniae has a reputation for causing a wide range of infectious conditions, with numerous highly virulent and antibiotic-resistant strains. Metabolic models have the potential to provide insights into the growth behavior, nutrient requirements, essential genes, and candidate drug targets in these strains. Here we develop a metabolic model for KPPR1, a highly virulent strain of K. pneumoniae. We apply a combination of Biolog phenotype data and fitness data to validate and refine our KPPR1 model. The final model displays a predictive accuracy of 75% in identifying potential carbon and nitrogen sources for K. pneumoniae and of 99% in predicting nonessential genes in rich media. We demonstrate how this model is useful in studying the differences in the metabolic capabilities of the low-virulence MGH 78578 strain and the highly virulent KPPR1 strain. For example, we demonstrate that these strains differ in carbohydrate metabolism, including the ability to metabolize dulcitol as a primary carbon source. Our model makes numerous other predictions for follow-up verification and analysis.

Indexed as

Genome, BacterialModels, BiologicalCarbohydrate MetabolismCulture MediaDrug Resistance, Multiple, BacterialGenes, EssentialKlebsiella pneumoniaePhenotypeSequence Analysis, DNACulture MediabacteriaBiologflux balance analysisgap fillingKlebsiella pneumoniae KPPR1metabolic modelresistancetransposon insertion sequencing

Identifiers

PMID28375518
PMCPMC5790149

What OpenQuestion holds

Textmetadata
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.