Evidence map›Paper›PMID 24991925›Full record

ArticlePLoS computational biology2014

Computational modeling and analysis of iron release from macrophages.

Alka A Potdar, Joydeep Sarkar, Nupur K Das, Paroma Ghosh, Miklos Gratzl, Paul L Fox, Gerald M Saidel

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Cardiac macrophage biology in the steady-state heart, the aging heart, and following myocardial infarction.Translational research : the journal of laboratory and clinical medicine · 2018
    Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. 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

7 authors at 2 institutions in 1 country.

Alka A PotdarDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, United States of America; Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, Ohio, United States of America.
Joydeep SarkarDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, United States of America.
Nupur K DasDepartment of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, Ohio, United States of America.
Paroma GhoshDepartment of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, Ohio, United States of America.
Miklos GratzlDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, United States of America.
Paul L FoxDepartment of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, Ohio, United States of America.
Gerald M SaidelDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, United States of America.
Cleveland Clinic · USCase Western Reserve University · US

Funding

NIDDK NIH HHS R01 DK0833359
6 · The paper itself

Abstract

A major process of iron homeostasis in whole-body iron metabolism is the release of iron from the macrophages of the reticuloendothelial system. Macrophages recognize and phagocytose senescent or damaged erythrocytes. Then, they process the heme iron, which is returned to the circulation for reutilization by red blood cell precursors during erythropoiesis. The amount of iron released, compared to the amount shunted for storage as ferritin, is greater during iron deficiency. A currently accepted model of iron release assumes a passive-gradient with free diffusion of intracellular labile iron (Fe2+) through ferroportin (FPN), the transporter on the plasma membrane. Outside the cell, a multi-copper ferroxidase, ceruloplasmin (Cp), oxidizes ferrous to ferric ion. Apo-transferrin (Tf), the primary carrier of soluble iron in the plasma, binds ferric ion to form mono-ferric and di-ferric transferrin. According to the passive-gradient model, the removal of ferrous ion from the site of release sustains the gradient that maintains the iron release. Subcellular localization of FPN, however, indicates that the role of FPN may be more complex. By experiments and mathematical modeling, we have investigated the detailed mechanism of iron release from macrophages focusing on the roles of the Cp, FPN and apo-Tf. The passive-gradient model is quantitatively analyzed using a mathematical model for the first time. A comparison of experimental data with model simulations shows that the passive-gradient model cannot explain macrophage iron release. However, a facilitated-transport model associated with FPN can explain the iron release mechanism. According to the facilitated-transport model, intracellular FPN carries labile iron to the macrophage membrane. Extracellular Cp accelerates the oxidation of ferrous ion bound to FPN. Apo-Tf in the extracellular environment binds to the oxidized ferrous ion, completing the release process. Facilitated-transport model can correctly predict cellular iron efflux and is essential for physiologically relevant whole-body model of iron metabolism.

Indexed as

Computer SimulationModels, BiologicalComputational BiologyHomeostasisHumansIntracellular SpaceIronMacrophagesIron

Identifiers

PMID24991925
PMCPMC4083485
OpenAlexW2045221992

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.