Evidence map›Paper›PMID 22929619›Full record

ArticleBMC systems biology2012

CardioNet: a human metabolic network suited for the study of cardiomyocyte metabolism.

Anja Karlstädt, Daniela Fliegner, Georgios Kararigas, Hugo Sanchez Ruderisch, Vera Regitz-Zagrosek, Hermann-Georg Holzhütter

Abstract read
In one paragraph

Article in BMC systems biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
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

46 citing papers in PubMed.

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  6. Bat power-metabolic profiling of the Egyptian fruit batbioRxiv : the preprint server for biology · 2025
    Article
  7. Interferon gamma signaling drives cardiac metabolic rewiring.bioRxiv : the preprint server for biology · 2025
    Article
  8. Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025
    Review
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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

6 authors.

Anja KarlstädtInstitute of Biochemistry, Charité-Universitätsmedizin Berlin, Charitéplatz 1/Virchowweg 6, 10117 Berlin, Germany. anja.karlstaedt@charite.de
Daniela Fliegner
Georgios Kararigas
Hugo Sanchez Ruderisch
Vera Regitz-Zagrosek
Hermann-Georg Holzhütter

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAvailability of oxygen and nutrients in the coronary circulation is a crucial determinant of cardiac performance. Nutrient composition of coronary blood may significantly vary in specific physiological and pathological conditions, for example, administration of special diets, long-term starvation, physical exercise or diabetes. Quantitative analysis of cardiac metabolism from a systems biology perspective may help to a better understanding of the relationship between nutrient supply and efficiency of metabolic processes required for an adequate cardiac output.

resultsHere we present CardioNet, the first large-scale reconstruction of the metabolic network of the human cardiomyocyte comprising 1793 metabolic reactions, including 560 transport processes in six compartments. We use flux-balance analysis to demonstrate the capability of the network to accomplish a set of 368 metabolic functions required for maintaining the structural and functional integrity of the cell. Taking the maintenance of ATP, biosynthesis of ceramide, cardiolipin and further important phospholipids as examples, we analyse how a changed supply of glucose, lactate, fatty acids and ketone bodies may influence the efficiency of these essential processes.

conclusionsCardioNet is a functionally validated metabolic network of the human cardiomyocyte that enables theorectical studies of cellular metabolic processes crucial for the accomplishment of an adequate cardiac output.

Indexed as

Metabolic Networks and PathwaysAdenosine TriphosphateBiological TransportComputational BiologyGenomicsHumansMyocytes, CardiacOxygenReproducibility of ResultsAdenosine TriphosphateOxygen

Identifiers

PMID22929619
PMCPMC3568067

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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.