Evidence map›Paper›PMID 29321534›Full record

ArticleScientific reports2018

Mitochondrial network complexity emerges from fission/fusion dynamics.

Nahuel Zamponi, Emiliano Zamponi, Sergio A Cannas, Orlando V Billoni, Pablo R Helguera, Dante R Chialvo

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. ALS-FTD-linked CCNFJournal of neuroinflammation · 2026
    Article
  5. Article
  6. Diffusive spreading across dynamic mitochondrial network architectures.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Macromolecular Crowding in Mitochondria.Sub-cellular biochemistry · 2025
    Review
  17. Article
  18. Article
  19. Review
  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

6 authors.

Nahuel ZamponiMitochondrial Research Group, Instituto de Investigaciones Médicas Mercedes y Martín Ferreyra y Universidad Nacional de Córdoba (INIMEC-CONICET-UNC), Friuli 2434, (5016), Córdoba, Argentina. zamponi.n@gmail.com.ORCID http://orcid.org/0000-0002-9596-1095
Emiliano ZamponiMitochondrial Research Group, Instituto de Investigaciones Médicas Mercedes y Martín Ferreyra y Universidad Nacional de Córdoba (INIMEC-CONICET-UNC), Friuli 2434, (5016), Córdoba, Argentina.
Sergio A CannasFacultad de Matemática, Astronomía, Física y Computación, Universidad Nacional de Córdoba, Instituto de Física Enrique Gaviola (IFEG-CONICET), Ciudad Universitaria, (5000), Córdoba, Argentina.
Orlando V BilloniFacultad de Matemática, Astronomía, Física y Computación, Universidad Nacional de Córdoba, Instituto de Física Enrique Gaviola (IFEG-CONICET), Ciudad Universitaria, (5000), Córdoba, Argentina.
Pablo R HelgueraMitochondrial Research Group, Instituto de Investigaciones Médicas Mercedes y Martín Ferreyra y Universidad Nacional de Córdoba (INIMEC-CONICET-UNC), Friuli 2434, (5016), Córdoba, Argentina. phelguera@immf.uncor.edu.
Dante R ChialvoCenter for Complex Systems and Brain Sciences (CEMSC3), Universidad Nacional de San Martín, Campus Miguelete, 25 de Mayo y Francia, (1650), San Martín, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondrial networks exhibit a variety of complex behaviors, including coordinated cell-wide oscillations of energy states as well as a phase transition (depolarization) in response to oxidative stress. Since functional and structural properties are often interwinded, here we characterized the structure of mitochondrial networks in mouse embryonic fibroblasts using network tools and percolation theory. Subsequently we perturbed the system either by promoting the fusion of mitochondrial segments or by inducing mitochondrial fission. Quantitative analysis of mitochondrial clusters revealed that structural parameters of healthy mitochondria laid in between the extremes of highly fragmented and completely fusioned networks. We confirmed our results by contrasting our empirical findings with the predictions of a recently described computational model of mitochondrial network emergence based on fission-fusion kinetics. Altogether these results offer not only an objective methodology to parametrize the complexity of this organelle but also support the idea that mitochondrial networks behave as critical systems and undergo structural phase transitions.

Indexed as

Mitochondrial DynamicsModels, BiologicalAlgorithmsAnimalsFibroblastsGene ExpressionGenes, ReporterMiceMicroscopy, FluorescenceMitochondria

Identifiers

PMID29321534
PMCPMC5762699

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.