Evidence map›Paper›PMID 25480643›Full record

ReviewAdvances in experimental medicine and biology2014

A systems biology approach to iron metabolism.

Julia Chifman, Reinhard Laubenbacher, Suzy V Torti

Abstract readReview
In one paragraph

Review in Advances in experimental medicine and biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
–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

78 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Iron in the migraine brain.Histology and histopathology · 2025
    Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

18 more citing papers are in PubMed but not listed here.

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

3 authors.

Julia ChifmanDepartment of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Reinhard Laubenbacher
Suzy V Torti

Funding

Training Program in Cancer BiologyT32CA079448 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KRIDEL, STEVEN J. · 2000 to 2014
$6.5M
Ferroportin and Iron HomeostasisR01CA171101 · NCI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI TORTI, FRANK M. · 2012 to 2016
$1.7M
A Systems Approach To Iron Metabolism In Cancer CellsR21CA156133 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LAUBENBACHER, REINHARD, TORTI, SUZY V · 2011 to 2012
$384k
NCI NIH HHS R01 CA171101NCI NIH HHS R21 CA156133NCI NIH HHS R21 CA156133-01A1NCI NIH HHS T32 CA079448NCI NIH HHS T32-CA079448
6 · The paper itself

Abstract

Iron is critical to the survival of almost all living organisms. However, inappropriately low or high levels of iron are detrimental and contribute to a wide range of diseases. Recent advances in the study of iron metabolism have revealed multiple intricate pathways that are essential to the maintenance of iron homeostasis. Further, iron regulation involves processes at several scales, ranging from the subcellular to the organismal. This complexity makes a systems biology approach crucial, with its enabling technology of computational models based on a mathematical description of regulatory systems. Systems biology may represent a new strategy for understanding imbalances in iron metabolism and their underlying causes.

Indexed as

Systems BiologyAnimalsBiological TransportHomeostasisHumansIronIron DeficienciesIron Metabolism DisordersMetabolic Networks and PathwaysModels, BiologicalIron

Identifiers

PMID25480643
PMCPMC4464783

What OpenQuestion holds

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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.