Evidence map›Paper›PMID 41115986›Full record

ArticleAnnals of biomedical engineering2026

A Mathematical Model of Wound Healing Incorporating Strain-Induced MSC Differentiation.

Spencer H Haber, Nicholas A Battista, Christopher T Wagner

Abstract read
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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Spencer H HaberDepartment of Biomedical Engineering, The College of New Jersey, STEM Building, 2000 Pennington Road, Ewing, NJ, 08628, USA.ORCID http://orcid.org/0009-0002-9586-3812
Nicholas A BattistaDepartment of Mathematics and Statistics, The College of New Jersey, 2000 Pennington Rd, Ewing, NJ, 08628, USA.ORCID http://orcid.org/0000-0003-2437-0383
Christopher T WagnerDepartment of Biomedical Engineering, The College of New Jersey, STEM Building, 2000 Pennington Road, Ewing, NJ, 08628, USA. wagnerc@tcnj.edu.ORCID http://orcid.org/0000-0002-8478-1718

Funding

National Science Foundation DMS\#2410987National Science Foundation OAC\#2320244
6 · The paper itself

Abstract

Wound healing is a complex physiological process involving numerous cell types and biological factors aimed at repairing damaged tissue. Mathematical models provide insights into physiologic and pathophysiologic processes, which can improve the understanding of wound healing by eliminating biological variability seen in vivo. This work developed a non-spatial, deterministic mathematical model of adult dermal wound healing by incorporating cellular components and biochemical pathways common to prior models and adding additional biochemical regulation, mesenchymal stem/stromal cell (MSC) differentiation, extrinsic mechanical strain, and a new constitutive relationship to predict wound healing strength. The expanded model replicated results of prior models with respect to fibroblast levels, collagen production, and responses to applying transforming growth factor-β isoforms. Applying macroscopic strain accelerated cell responses and collagen production at early timepoints and slightly increased the steady-state collagen I:III ratio. Predicted healed tissue strength matched experimental healed dermal tissue strength results. Finally, the model incorporates user-controlled features, including exogenous MSC injection and depressed oxygen levels, to mimic alternative wound conditions. MSC injection did not alter the healing dynamics, but the model exhibited robust sensitivity to tissue oxygen level.

Indexed as

Cell DifferentiationMesenchymal Stem CellsModels, BiologicalWound HealingAnimalsCollagenHumansSkinStress, MechanicalCollagenMathematical modelMechanical strainMesenchymal stem/stromal cellWound healing

Identifiers

PMID41115986

What OpenQuestion holds

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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.