Evidence map›Paper›PMID 25902432›Full record

ArticleBiophysical journal2015

Mitochondrial networks in cardiac myocytes reveal dynamic coupling behavior.

Felix T Kurz, Thomas Derungs, Miguel A Aon, Brian O'Rourke, Antonis A Armoundas

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.6field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 44 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Felix T KurzMassachusetts General Hospital, Cardiovascular Research Center, Harvard Medical School, Charlestown, Massachusetts; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany; Department of Cardiology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Thomas DerungsMassachusetts General Hospital, Cardiovascular Research Center, Harvard Medical School, Charlestown, Massachusetts; Experimental and Clinical Research Center, Max-Delbrück Center for Molecular Medicine and Charité Universitätsmedizin Berlin, Berlin, Germany.
Miguel A AonDivision of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland.
Brian O'RourkeDivision of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland.
Antonis A ArmoundasMassachusetts General Hospital, Cardiovascular Research Center, Harvard Medical School, Charlestown, Massachusetts. Electronic address: aarmoundas@partners.org.
Harvard University · USJohns Hopkins University · US

Funding

ENERGETIC REGULATION OF CARDIAC ION CHANNELSR37HL054598 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI O'ROURKE, BRIAN · 2005 to 2014
$3.7M
Novel Mitochondrial Ion TransportersR01HL108917 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI O'ROURKE, BRIAN · 2011 to 2015
$2.3M
NHLBI NIH HHS R01 HL108917NHLBI NIH HHS R37 HL054598
6 · The paper itself

Abstract

Oscillatory behavior of mitochondrial inner membrane potential (ΔΨm) is commonly observed in cells subjected to oxidative or metabolic stress. In cardiac myocytes, the activation of inner membrane pores by reactive oxygen species (ROS) is a major factor mediating intermitochondrial coupling, and ROS-induced ROS release has been shown to underlie propagated waves of ΔΨm depolarization as well as synchronized limit cycle oscillations of ΔΨm in the network. The functional impact of ΔΨm instability on cardiac electrophysiology, Ca(2+) handling, and even cell survival, is strongly affected by the extent of such intermitochondrial coupling. Here, we employ a recently developed wavelet-based analytical approach to examine how different substrates affect mitochondrial coupling in cardiac cells, and we also determine the oscillatory coupling properties of mitochondria in ventricular cells in intact perfused hearts. The results show that the frequency of ΔΨm oscillations varies inversely with the size of the oscillating mitochondrial cluster, and depends on the strength of local intermitochondrial coupling. Time-varying coupling constants could be quantitatively determined by applying a stochastic phase model based on extension of the well-known Kuramoto model for networks of coupled oscillators. Cluster size-frequency relationships varied with different substrates, as did mitochondrial coupling constants, which were significantly larger for glucose (7.78 × 10(-2) ± 0.98 × 10(-2) s(-1)) and pyruvate (7.49 × 10(-2) ± 1.65 × 10(-2) s(-1)) than lactate (4.83 × 10(-2) ± 1.25 × 10(-2) s(-1)) or β-hydroxybutyrate (4.11 × 10(-2) ± 0.62 × 10(-2) s(-1)). The findings indicate that mitochondrial spatiotemporal coupling and oscillatory behavior is influenced by substrate selection, perhaps through differing effects on ROS/redox balance. In particular, glucose-perfusion generates strong intermitochondrial coupling and temporal oscillatory stability. Pathological changes in specific catabolic pathways, which are known to occur during the progression of cardiovascular disease, could therefore contribute to altered sensitivity of the mitochondrial network to oxidative stress and emergent ΔΨm instability, ultimately scaling to produce organ level dysfunction.

Indexed as

Membrane Potential, MitochondrialModels, CardiovascularAnimalsCells, CulturedGlucoseGuinea PigsHeart VentriclesLactic AcidMitochondria, HeartMyocytes, CardiacPyruvic AcidReactive Oxygen SpeciesGlucoseLactic AcidPyruvic AcidReactive Oxygen Species

Identifiers

PMID25902432
PMCPMC4407245
OpenAlexW2164407237

What OpenQuestion holds

Textmetadata
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.