Evidence map›Paper›PMID 24001881›Full record

ArticleJournal of immunological methods2013

A computational model of fibroblast and macrophage spatial/temporal dynamics in foreign body reactions.

Jichen Yang, Jianzhong Su, Larrissa Owens, Akif Ibraguimov, Liping Tang

Abstract read
In one paragraph

Article in Journal of immunological methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Tree-Based Methods to Predict Enzyme Inhibition.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Article
  3. Article
  4. Interaction of Ceramic Implant Materials with Immune System.International journal of molecular sciences · 2023
    Review
  5. Article
  6. 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

5 authors.

Jichen YangDepartment of Mathematics, University of Texas at Arlington, Arlington, TX 76019, USA.
Jianzhong Su
Larrissa Owens
Akif Ibraguimov
Liping Tang

Funding

Biomaterial-mediated fibrotic responsesR01EB007271 · NIBIB · UNIVERSITY OF TEXAS ARLINGTON · PI TANG, LIPING · 2008 to 2011
$1.4M
Modulating and Monitoring the Foreign Body Response to ImplantsR01EB014404 · NIBIB · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI STENKEN, JULIE A · 2011 to 2014
$1.3M
NIBIB NIH HHS 1R01EB007271NIBIB NIH HHS 1R01EB014404NIBIB NIH HHS R01 EB007271NIBIB NIH HHS R01 EB014404
6 · The paper itself

Abstract

The implantation of medical devices often triggers several immune responses, one kind of which is categorized as foreign body reactions. It is well established that macrophages and many other cells participate in the complex processes of foreign body reactions, and cause severe inflammations and fibrotic capsule formation in surrounding tissues. However, the detailed mechanisms of macrophage responses, recruitment and activation, in foreign body reactions are not totally understood. In the meantime, mathematical models have been proposed to systematically decipher the behavior of this complex system of multiple cells, proteins and biochemical processes in wound healing responses. Based on these early works, this study introduces a mathematical model in two spatial dimensions to investigate the transient behavior of macrophages, fibroblasts and their interactions during the formation of fibrotic tissue. We find that the simulation results are consistent with the experimental observations. These findings support that the model can reveal quantitative insights for studying foreign body reaction processes.

Indexed as

Computer SimulationAnimalsFibroblastsForeign-Body ReactionMacrophagesMolecular Dynamics SimulationRatsRats, Sprague-DawleyComputational modelFibroblastForeign body reactionsMacrophageMedical implantSpatial and time dynamics

Identifiers

PMID24001881
PMCPMC3964857

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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.