Evidence map›Paper›PMID 30324104›Full record

ReviewFrontiers in cell and developmental biology2018

Metabolic Networks Influencing Skeletal Muscle Fiber Composition.

Isabelle Bourdeau Julien, Chantelle F Sephton, Paul A Dutchak

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
2.5field-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

50 citing papers in PubMed, 72 citations in OpenAlex.

  1. Review
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  4. Glycolytic Specialization Shapes Neuronal Physiology and FunctionbioRxiv : the preprint server for biology · 2026
    Article
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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

3 authors at 1 institution in 1 country.

Isabelle Bourdeau JulienDepartment of Psychiatry and Neuroscience, Université Laval, Quebec, QC, Canada.
Chantelle F SephtonDepartment of Psychiatry and Neuroscience, Université Laval, Quebec, QC, Canada.
Paul A DutchakDepartment of Psychiatry and Neuroscience, Université Laval, Quebec, QC, Canada.
Université Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advancements in metabolomic and genomic research tools are revealing new insights into how metabolic networks can influence skeletal muscle fiber composition. In this mini-review, we summarize the recent progress of metabolite-dependent signaling pathways and transcriptional regulators that control glycolytic and oxidative metabolism and ultimately influence the type of fibers in muscle depots. These mechanisms expand the role of metabolites beyond that of basic building blocks of cellular components, and illustrate how particular metabolites can take an active role in regulating metabolic homeostasis and fiber adaptation. As new metabolite-dependent mechanisms emerge, ongoing metabolomic studies have begun to help explain why distinct metabolic pathways are used in different biological contexts and widen the view of seminal observations like the Warburg effect.

Indexed as

GATOR1metabolismmTORC1muscle physiologynuclear hormone receptor (NHR)warbug effect

Identifiers

PMID30324104
PMCPMC6172607
OpenAlexW2894413186

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.