Evidence map›Paper›PMID 25737951›Full record

ArticleMolecular metabolism2015

Metabolic modeling of muscle metabolism identifies key reactions linked to insulin resistance phenotypes.

Christopher Nogiec, Alison Burkart, Jonathan M Dreyfuss, Carles Lerin, Simon Kasif, Mary-Elizabeth Patti

Open access · goldAbstract read
In one paragraph

Article in Molecular metabolism, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. The mitochondrial pyruvate carrier at the crossroads of intermediary metabolism.American journal of physiology. Endocrinology and metabolism · 2022
    Review
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  15. Squeezing Flux Out of Fat.Trends in endocrinology and metabolism: TEM · 2018
    Article
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  17. Review
  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

6 authors at 4 institutions in 1 country.

Christopher NogiecGraduate Program in Bioinformatics, Boston University, Boston, MA, USA.
Alison BurkartResearch Division, Joslin Diabetes Center and Harvard Medical School, Boston, MA, USA.
Jonathan M DreyfussResearch Division, Joslin Diabetes Center, and Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Carles LerinResearch Division, Joslin Diabetes Center, Boston, MA, USA.
Simon KasifBiomedical Engineering, Boston University, Boston, MA, USA ; Research Division, Joslin Diabetes Center and Children's Hospital Informatics Program, Harvard-MIT Division of Health Sciences and Technology, Boston, MA, USA.
Mary-Elizabeth PattiResearch Division, Joslin Diabetes Center and Harvard Medical School, Boston, MA, USA.
Joslin Diabetes Center · USBoston University · USHarvard–MIT Division of Health Sciences and Technology · USHarvard University · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 1986 to 2026
$50.5M
Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
TRAINING IN DIABETES AND METABOLISMT32DK007260 · NIDDK · JOSLIN DIABETES CENTER · PI LAURIE J GOODYEAR · 1986 to 2026
$13.6M
NIDDK NIH HHS P30 DK036836NIDDK NIH HHS T32 DK007260NLM NIH HHS U54 LM008748
6 · The paper itself

Abstract

objectiveDysregulated muscle metabolism is a cardinal feature of human insulin resistance (IR) and associated diseases, including type 2 diabetes (T2D). However, specific reactions contributing to abnormal energetics and metabolic inflexibility in IR are unknown.

methodsWe utilize flux balance computational modeling to develop the first systems-level analysis of IR metabolism in fasted and fed states, and varying nutrient conditions. We systematically perturb the metabolic network to identify reactions that reproduce key features of IR-linked metabolism.

resultsWhile reduced glucose uptake is a major hallmark of IR, model-based reductions in either extracellular glucose availability or uptake do not alter metabolic flexibility, and thus are not sufficient to fully recapitulate IR-linked metabolism. Moreover, experimentally-reduced flux through single reactions does not reproduce key features of IR-linked metabolism. However, dual knockdowns of pyruvate dehydrogenase (PDH), in combination with reduced lipid uptake or lipid/amino acid oxidation (ETFDH), does reduce ATP synthesis, TCA cycle flux, and metabolic flexibility. Experimental validation demonstrates robust impact of dual knockdowns in PDH/ETFDH on cellular energetics and TCA cycle flux in cultured myocytes. Parallel analysis of transcriptomic and metabolomics data in humans with IR and T2D demonstrates downregulation of PDH subunits and upregulation of its inhibitory kinase PDK4, both of which would be predicted to decrease PDH flux, concordant with the model.

conclusionsOur results indicate that complex interactions between multiple biochemical reactions contribute to metabolic perturbations observed in human IR, and that the PDH complex plays a key role in these metabolic phenotypes.

Indexed as

Computational modelingFlux balance analysisMuscle insulin resistanceMuscle metabolism

Identifiers

PMID25737951
PMCPMC4338313
OpenAlexW2141612278

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.