Evidence map›Paper›PMID 25002542›Full record

ArticleJournal of bacteriology2014

Functional metabolic map of Faecalibacterium prausnitzii, a beneficial human gut microbe.

Almut Heinken, M Tanweer Khan, Giuseppe Paglia, Dmitry A Rodionov, Hermie J M Harmsen, Ines Thiele

Open access · bronzeAbstract read
In one paragraph

Article in Journal of bacteriology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% 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

130 citing papers in PubMed, 1 synthesis or guideline pooled it, 245 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Synbiotics Easing Renal Failure by Improving Gut Microbiology (SYNERGY): A Randomized Trial.Clinical journal of the American Society of Nephrology : CJASN · 2016
    Trial
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  8. Article
  9. Article
  10. Article
  11. Article
  12. Gut microbes · 2025
    Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Aerobic exercise regulates gut microbiota profiles and metabolite in the early stage of Alzheimer's disease.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article

70 more citing papers are in PubMed but not listed here.

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 at 5 institutions in 5 countries.

Almut HeinkenLuxembourg Center for Systems Biomedicine, University of Luxembourg, Belval, Luxembourg Center for Systems Biology, University of Iceland, Reykjavik, Iceland.
M Tanweer KhanDepartment of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Giuseppe PagliaCenter for Systems Biology, University of Iceland, Reykjavik, Iceland.
Dmitry A RodionovSanford-Burnham Medical Research Institute, La Jolla, California, USA A. A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia.
Hermie J M HarmsenDepartment of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Ines ThieleLuxembourg Center for Systems Biomedicine, University of Luxembourg, Belval, Luxembourg Center for Systems Biology, University of Iceland, Reykjavik, Iceland ines.thiele@uni.lu.
University of Iceland · ISInstitute for Information Transmission Problems · RUUniversity Medical Center Groningen · NLUniversity of Groningen · NLUniversity of Luxembourg · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human gut microbiota plays a central role in human well-being and disease. In this study, we present an integrated, iterative approach of computational modeling, in vitro experiments, metabolomics, and genomic analysis to accelerate the identification of metabolic capabilities for poorly characterized (anaerobic) microorganisms. We demonstrate this approach for the beneficial human gut microbe Faecalibacterium prausnitzii strain A2-165. We generated an automated draft reconstruction, which we curated against the limited biochemical data. This reconstruction modeling was used to develop in silico and in vitro a chemically defined medium (CDM), which was validated experimentally. Subsequent metabolomic analysis of the spent medium for growth on CDM was performed. We refined our metabolic reconstruction according to in vitro observed metabolite consumption and secretion and propose improvements to the current genome annotation of F. prausnitzii A2-165. We then used the reconstruction to systematically characterize its metabolic properties. Novel carbon source utilization capabilities and inabilities were predicted based on metabolic modeling and validated experimentally. This study resulted in a functional metabolic map of F. prausnitzii, which is available for further applications. The presented workflow can be readily extended to other poorly characterized and uncharacterized organisms to yield novel biochemical insights about the target organism.

Indexed as

TranscriptomeBacterial ProteinsDatabases, FactualGene Expression Regulation, BacterialGenome, BacterialGram-Positive BacteriaBacterial Proteins

Identifiers

PMID25002542
PMCPMC4135701
OpenAlexW2067480709

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.