Evidence map›Paper›PMID 29044196›Full record

ArticleScientific reports2017

Exercise and high-fat feeding remodel transcript-metabolite interactive networks in mouse skeletal muscle.

Joaquín Pérez-Schindler, Aditi Kanhere, Lindsay Edwards, J William Allwood, Warwick B Dunn, Simon Schenk, Andrew Philp

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  16. Cysteine- and glycine-rich protein 3 regulates glucose homeostasis in skeletal muscle.American journal of physiology. Endocrinology and metabolism · 2018
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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

7 authors at 3 institutions in 2 countries.

Joaquín Pérez-SchindlerMRC-ARUK Centre for Musculoskeletal Ageing Research, University of Birmingham, Birmingham, B152TT, UK. j.perezschindler@unibas.ch.
Aditi KanhereSchool of Biosciences, University of Birmingham, Birmingham, B152TT, UK.
Lindsay EdwardsRespiratory Therapy Area Unit, GlaxoSmithKline Medicines Research Centre, Stevenage, SG1 2NY, UK.
J William AllwoodSchool of Biosciences, University of Birmingham, Birmingham, B152TT, UK.
Warwick B DunnSchool of Biosciences, University of Birmingham, Birmingham, B152TT, UK.
Simon SchenkDepartment of Orthopaedic Surgery, University of California San Diego, La Jolla, CA, 92093-0863, USA.
Andrew PhilpMRC-ARUK Centre for Musculoskeletal Ageing Research, University of Birmingham, Birmingham, B152TT, UK. a.philp@bham.ac.uk.
University of Birmingham · GBGlaxoSmithKline (United Kingdom) · GBUniversity of California, San Diego · US

Funding

Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Biotechnology and Biological Sciences Research Council BB/L023547/1Medical Research Council MR/M009157/1NIDDK NIH HHS P30 DK063491Wellcome Trust
6 · The paper itself

Abstract

Enhanced coverage and sensitivity of next-generation 'omic' platforms has allowed the characterization of gene, metabolite and protein responses in highly metabolic tissues, such as, skeletal muscle. A limitation, however, is the capability to determine interaction between dynamic biological networks. To address this limitation, we applied Weighted Analyte Correlation Network Analysis (WACNA) to RNA-seq and metabolomic datasets to identify correlated subnetworks of transcripts and metabolites in response to a high-fat diet (HFD)-induced obesity and/or exercise. HFD altered skeletal muscle lipid profiles and up-regulated genes involved in lipid catabolism, while decreasing 241 exercise-responsive genes related to skeletal muscle plasticity. WACNA identified the interplay between transcript and metabolite subnetworks linked to lipid metabolism, inflammation and glycerophospholipid metabolism that were associated with IL6, AMPK and PPAR signal pathways. Collectively, this novel experimental approach provides an integrative resource to study transcriptional and metabolic networks in skeletal muscle in the context of health and disease.

Indexed as

Diet, High-FatMetabolomePhysical ExertionTranscriptomeAMP-Activated Protein Kinase KinasesAnimalsGlycerophospholipidsInterleukin-6MaleMiceMice, Inbred C57BLMuscle, SkeletalPeroxisome Proliferator-Activated ReceptorsProtein KinasesSignal TransductionAMP-Activated Protein Kinase KinasesGlycerophospholipidsInterleukin-6Peroxisome Proliferator-Activated ReceptorsProtein Kinases

Identifiers

PMID29044196
PMCPMC5647435
OpenAlexW2762383102

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.