Evidence map›Paper›PMID 34290839›Full record

ArticleCellular and molecular bioengineering2021

Mathematical Model Predicts that Acceleration of Diabetic Wound Healing is Dependent on Spatial Distribution of VEGF-A mRNA (AZD8601).

S Michaela Rikard, Paul J Myers, Joachim Almquist, Peter Gennemark, Anthony C Bruce, Maria Wågberg, Regina Fritsche-Danielson, Kenny M Hansson, Matthew J Lazzara, Shayn M Peirce

Open access · hybridAbstract read
In one paragraph

Article in Cellular and molecular bioengineering, 2021. 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
0.7field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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  3. mRNA vaccines in disease prevention and treatment.Signal transduction and targeted therapy · 2023
    Review
  4. Article
  5. Article
  6. 4-Hexylresorcinol: pharmacologic chaperone and its application for wound healing.Maxillofacial plastic and reconstructive surgery · 2022
    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

10 authors at 4 institutions in 2 countries.

S Michaela Rikard *Department of Biomedical Engineering, University of Virginia, Charlottesville, VA USA.
Paul J Myers *Department of Chemical Engineering, University of Virginia, Charlottesville, VA USA.
Joachim AlmquistDrug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Peter GennemarkDrug Metabolism and Pharmacokinetics, Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Anthony C BruceDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA USA.
Maria WågbergBioscience Cardiovascular, Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Regina Fritsche-DanielsonResearch and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Kenny M HanssonBioscience Cardiovascular, Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Matthew J LazzaraDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA USA.
Shayn M PeirceDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA USA.ORCID 0000-0001-5857-5606
University of Virginia · USAstraZeneca (Sweden) · SEFraunhofer Chalmers Research Centre for Industrial Mathematics · SELinköping University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPharmacologic approaches for promoting angiogenesis have been utilized to accelerate healing of chronic wounds in diabetic patients with varying degrees of success. We hypothesize that the distribution of proangiogenic drugs in the wound area critically impacts the rate of closure of diabetic wounds. To evaluate this hypothesis, we developed a mathematical model that predicts how spatial distribution of VEGF-A produced by delivery of a modified mRNA (AZD8601) accelerates diabetic wound healing.

methodsWe modified a previously published model of cutaneous wound healing based on coupled partial differential equations that describe the density of sprouting capillary tips, chemoattractant concentration, and density of blood vessels in a circular wound. Key model parameters identified by a sensitivity analysis were fit to data obtained from an

resultsWhen simulating injections delivered at the wound border, the model predicted that injections delivered on day 0 were more effective in accelerating wound healing than injections delivered at later time points. When the location of the injection was varied throughout the wound space, the model predicted that healing could be accelerated by delivering injections a distance of 1-2 mm inside the wound bed when compared to injections delivered on the same day at the wound border. Perturbations to the diffusivity of mRNA predicted that restricting diffusion of mRNA delayed wound healing by creating an accumulation of VEGF-A at the wound border. Alternatively, a high mRNA diffusivity had no effect on wound healing compared to a simulation with vehicle injection due to the rapid loss of mRNA at the wound border to surrounding tissue.

conclusionsThese findings highlight the critical need to consider the location of drug delivery and diffusivity of the drug, parameters not typically explored in pre-clinical experiments, when designing and testing drugs for treating diabetic wounds. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12195-021-00678-9.

Indexed as

Chronic woundsComputational modelingDiabetic ulcersDrug deliveryPartial differential equations

Identifiers

PMID34290839
PMCPMC8280265
OpenAlexW3167300026

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.