Evidence map›Paper›PMID 26118551›Full record

ArticleScientific reports2015

Metabolome progression during early gut microbial colonization of gnotobiotic mice.

Angela Marcobal, Tahir Yusufaly, Steven Higginbottom, Michael Snyder, Justin L Sonnenburg, George I Mias

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Frontiers in immunology · 2020
    Article
  9. Microbiome as an Immunological Modifier.Methods in molecular biology (Clifton, N.J.) · 2020
    Article
  10. Review
  11. Article
  12. Article
  13. Review
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 2 institutions in 1 country.

Angela MarcobalDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
Tahir YusufalyDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan, USA.
Steven HigginbottomDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
Michael SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Justin L SonnenburgDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
George I MiasDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan, USA.
Stanford University · USMichigan State University · US

Funding

Integrative Dynamic Omics Profiling: A First Step Towards Personalized MedicineR00HG007065 · NHGRI · MICHIGAN STATE UNIVERSITY · PI MIAS, GEORGE IOANNOU · 2014 to 2016
$745k
Integrative Dynamic Omics Profiling: A First Step Towards Personalized MedicineK99HG007065 · NHGRI · STANFORD UNIVERSITY · PI MIAS, GEORGE IOANNOU · 2013 to 2013
$90k
NHGRI NIH HHS 4R00HG007065-02NHGRI NIH HHS K99 HG007065NHGRI NIH HHS K99HG007065NHGRI NIH HHS R00 HG007065
6 · The paper itself

Abstract

The microbiome has been implicated directly in host health, especially host metabolic processes and development of immune responses. These are particularly important in infants where the gut first begins being colonized, and such processes may be modeled in mice. In this investigation we follow longitudinally the urine metabolome of ex-germ-free mice, which are colonized with two bacterial species, Bacteroides thetaiotaomicron and Bifidobacterium longum. High-throughput mass spectrometry profiling of urine samples revealed dynamic changes in the metabolome makeup, associated with the gut bacterial colonization, enabled by our adaptation of non-linear time-series analysis to urine metabolomics data. Results demonstrate both gradual and punctuated changes in metabolite production and that early colonization events profoundly impact the nature of small molecules circulating in the host. The identified small molecules are implicated in amino acid and carbohydrate metabolic processes, and offer insights into the dynamic changes occurring during the colonization process, using high-throughput longitudinal methodology.

Indexed as

Germ-Free LifeMetabolomeAnimalsCluster AnalysisComputer SimulationGastrointestinal TractMetabolic Networks and PathwaysMiceTime Factors

Identifiers

PMID26118551
PMCPMC4484351
OpenAlexW2262422928

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.