Evidence map›Paper›PMID 31294216›Full record

ArticleAIMS microbiology2018

The three-legged stool of understanding metabolism: integrating metabolomics with biochemical genetics and computational modeling.

Diana M Downs, Jannell V Bazurto, Anuj Gupta, Luis L Fonseca, Eberhard O Voit

Abstract read
In one paragraph

Article in AIMS microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  3. Review
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  10. Dynamical systems approaches to personalized medicine.Current opinion in biotechnology · 2019
    Review
  11. 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

5 authors.

Diana M DownsDepartment of Microbiology, University of Georgia, Athens, GA, 30602, USA.
Jannell V BazurtoDepartment of Biological Sciences, University of Idaho, Moscow, ID, 83844, USA.
Anuj GuptaDepartment of Biomedical Engineering, Georgia Institute of Technology, 950 Atlantic Drive, Suite 2115, Atlanta, GA, 30332-2000, USA.
Luis L FonsecaDepartment of Biomedical Engineering, Georgia Institute of Technology, 950 Atlantic Drive, Suite 2115, Atlanta, GA, 30332-2000, USA.
Eberhard O VoitDepartment of Biomedical Engineering, Georgia Institute of Technology, 950 Atlantic Drive, Suite 2115, Atlanta, GA, 30332-2000, USA.

Funding

Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI William Michael Caudle · 2013 to 2026
$22.6M
Rid family members neutralize endogenous metabolic stressorsR01GM095837 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI DOWNS, DIANA M. · 2011 to 2023
$3.7M
NIEHS NIH HHS P30 ES019776NIGMS NIH HHS R01 GM095837
6 · The paper itself

Abstract

Traditional biochemical research has resulted in a good understanding of many aspects of metabolism. However, this reductionist approach is time consuming and requires substantial resources, thus raising the question whether modern metabolomics and genomics should take over and replace the targeted experiments of old. We proffer that such a replacement is neither feasible not desirable and propose instead the tight integration of modern, system-wide omics with traditional experimental bench science and dedicated computational approaches. This integration is an important prerequisite toward the optimal acquisition of knowledge regarding metabolism and physiology in health and disease. The commentary describes advantages and drawbacks of current approaches to assessing metabolism and highlights the challenges to be overcome as we strive to achieve a deeper level of metabolic understanding in the future.

Indexed as

genomicsmetabolic pathwaymetabolomicssystems analysis

Identifiers

PMID31294216
PMCPMC6604926

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.