Evidence map›Paper›PMID 23236286›Full record

SynthesisPLoS genetics2012

Identification of novel type 2 diabetes candidate genes involved in the crosstalk between the mitochondrial and the insulin signaling systems.

Josep M Mercader, Montserrat Puiggros, Ayellet V Segrè, Evarist Planet, Eleonora Sorianello, David Sebastian, Sergio Rodriguez-Cuenca, Vicent Ribas, Sílvia Bonàs-Guarch, Sorin Draghici and 9 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. CARD9 Mediates Pancreatic Islet Beta-Cell Dysfunction Under the Duress of Hyperglycemic Stress.Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

19 authors at 8 institutions in 3 countries.

Josep M MercaderJoint IRB-BSC Program on Computational Biology, Barcelona Supercomputing Center, Barcelona, Catalonia, Spain.
Montserrat Puiggros
Ayellet V Segrè
Evarist Planet
Eleonora Sorianello
David Sebastian
Sergio Rodriguez-Cuenca
Vicent Ribas
Sílvia Bonàs-Guarch
Sorin Draghici
Chenjing Yang
Sílvia Mora
Antoni Vidal-Puig
Josée Dupuis
DIAGRAM Consortium
Jose C Florez
MITIN Consortium
Antonio Zorzano
David Torrents
Universitat Politècnica de Catalunya · ESUniversitat de Barcelona · ESAddenbrooke's Hospital · GBInstitute for Research in Biomedicine · ESBoston University · USBroad Institute · USMassachusetts General Hospital · USWayne State University · US

Funding

Common Genetic Variation and Quantitative Diabetes TraitsR01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2008 to 2014
$5.0M
Pathway-Guide: A novel tool for the analysis of signaling and metabolic pathwaysR42GM087013 · NIGMS · ADVAITA CORPORATION · PI DRAGHICI, SORIN · 2011 to 2013
$2.2M
Novel methods for the analysis of gene signaling pathways with applications in obR01DK089167 · NIDDK · WAYNE STATE UNIVERSITY · PI DRAGHICI, SORIN · 2010 to 2013
$1.2M
Medical Research Council G0802051NIDDK NIH HHS R01 DK078616NIDDK NIH HHS R01 DK089167NIGMS NIH HHS R42 GM087013NIGMS NIH HHS R42GM087013PHS HHS R01 RDK089167
6 · The paper itself

Abstract

Type 2 Diabetes (T2D) is a highly prevalent chronic metabolic disease with strong co-morbidity with obesity and cardiovascular diseases. There is growing evidence supporting the notion that a crosstalk between mitochondria and the insulin signaling cascade could be involved in the etiology of T2D and insulin resistance. In this study we investigated the molecular basis of this crosstalk by using systems biology approaches. We combined, filtered, and interrogated different types of functional interaction data, such as direct protein-protein interactions, co-expression analyses, and metabolic and signaling dependencies. As a result, we constructed the mitochondria-insulin (MITIN) network, which highlights 286 genes as candidate functional linkers between these two systems. The results of internal gene expression analysis of three independent experimental models of mitochondria and insulin signaling perturbations further support the connecting roles of these genes. In addition, we further assessed whether these genes are involved in the etiology of T2D using the genome-wide association study meta-analysis from the DIAGRAM consortium, involving 8,130 T2D cases and 38,987 controls. We found modest enrichment of genes associated with T2D amongst our linker genes (p = 0.0549), including three already validated T2D SNPs and 15 additional SNPs, which, when combined, were collectively associated to increased fasting glucose levels according to MAGIC genome wide meta-analysis (p = 8.12×10(-5)). This study highlights the potential of combining systems biology, experimental, and genome-wide association data mining for identifying novel genes and related variants that increase vulnerability to complex diseases.

Indexed as

Diabetes Mellitus, Type 2Genome-Wide Association StudyMitochondriaGene Expression RegulationGenetic Predisposition to DiseaseGlucoseHumansInsulinInsulin ResistanceMetabolic Networks and PathwaysObesityPolymorphism, Single NucleotideSystems BiologyGlucoseInsulin

Identifiers

PMID23236286
PMCPMC3516534
OpenAlexW2103045242

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.