Evidence map›Paper›PMID 29986096›Full record

ArticleNucleic acids research2018

A coding and non-coding transcriptomic perspective on the genomics of human metabolic disease.

James A Timmons, Philip J Atherton, Ola Larsson, Sanjana Sood, Ilya O Blokhin, Robert J Brogan, Claude-Henry Volmar, Andrea R Josse, Cris Slentz, Claes Wahlestedt and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 78 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

14 authors at 7 institutions in 4 countries.

James A TimmonsDivision of Genetics and Molecular Medicine, King's College London, London, UK.
Philip J AthertonSchool of Medicine, Derby Royal Hospital, Derby, UK.
Ola LarssonDepartment of Oncology-Pathology, Science For Life Laboratory, Stockholm, Sweden.
Sanjana SoodDivision of Genetics and Molecular Medicine, King's College London, London, UK.
Ilya O BlokhinMiller School of Medicine, University of Miami, USA.
Robert J BroganScion House, Stirling University Innovation Park, Stirling, UK.
Claude-Henry VolmarMiller School of Medicine, University of Miami, USA.
Andrea R JosseMcMaster University, Canada.
Cris SlentzDuke University School of Medicine, Durham, USA.
Claes WahlestedtDepartment of Oncology-Pathology, Science For Life Laboratory, Stockholm, Sweden.
Stuart M PhillipsMcMaster University, Canada.
Bethan E PhillipsSchool of Medicine, Derby Royal Hospital, Derby, UK.
Iain J GallagherScion House, Stirling University Innovation Park, Stirling, UK.
William E KrausDuke University School of Medicine, Durham, USA.
University of Stirling · GBDuke University · USMcMaster University · CARoyal Derby Hospital · GBScience for Life Laboratory · SEUniversity of Miami · USKing's College London · GB

Funding

PERIPHERAL EFFECTS OF EXERCISE ON CARDIOVASCULAR HEALTHR01HL057354 · NHLBI · DUKE UNIVERSITY · PI KRAUS, WILLIAM E · 1998 to 2008
$5.5M
Exercise Dose-Response Effects in Prediabetes:Responses and MechanismsR01DK081559 · NIDDK · DUKE UNIVERSITY · PI KRAUS, WILLIAM E · 2009 to 2013
$3.1M
Medical Research Council G1100015NHLBI NIH HHS R01 HL057354NIDDK NIH HHS R01 DK081559
6 · The paper itself

Abstract

Genome-wide association studies (GWAS), relying on hundreds of thousands of individuals, have revealed >200 genomic loci linked to metabolic disease (MD). Loss of insulin sensitivity (IS) is a key component of MD and we hypothesized that discovery of a robust IS transcriptome would help reveal the underlying genomic structure of MD. Using 1,012 human skeletal muscle samples, detailed physiology and a tissue-optimized approach for the quantification of coding (>18,000) and non-coding (>15,000) RNA (ncRNA), we identified 332 fasting IS-related genes (CORE-IS). Over 200 had a proven role in the biochemistry of insulin and/or metabolism or were located at GWAS MD loci. Over 50% of the CORE-IS genes responded to clinical treatment; 16 quantitatively tracking changes in IS across four independent studies (P = 0.0000053: negatively: AGL, G0S2, KPNA2, PGM2, RND3 and TSPAN9 and positively: ALDH6A1, DHTKD1, ECHDC3, MCCC1, OARD1, PCYT2, PRRX1, SGCG, SLC43A1 and SMIM8). A network of ncRNA positively related to IS and interacted with RNA coding for viral response proteins (P < 1 × 10-48), while reduced amino acid catabolic gene expression occurred without a change in expression of oxidative-phosphorylation genes. We illustrate that combining in-depth physiological phenotyping with robust RNA profiling methods, identifies molecular networks which are highly consistent with the genetics and biochemistry of human metabolic disease.

Indexed as

GenomicsTranscriptomeDiabetes Mellitus, Type 2ExerciseGene Expression ProfilingGenetic MarkersGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansInsulinInsulin ResistanceMetabolic DiseasesModels, MolecularMuscle, SkeletalOxidative PhosphorylationQuantitative Trait LociGenetic MarkersInsulinRNA

Identifiers

PMID29986096
PMCPMC6125682
OpenAlexW2813443256

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.