Evidence map›Paper›PMID 34390846›Full record

ArticleActa biomaterialia2021

Mechanobiological wound model for improved design and evaluation of collagen dermal replacement scaffolds.

David O Sohutskay, Adrian Buganza Tepole, Sherry L Voytik-Harbin

Abstract read
In one paragraph

Article in Acta biomaterialia, 2021. 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
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  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

3 authors.

David O SohutskayWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; Indiana University School of Medicine, Indianapolis, IN, USA.
Adrian Buganza TepoleWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA. Electronic address: abuganza@purdue.edu.
Sherry L Voytik-HarbinWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; Department of Basic Medical Sciences, Purdue University, West Lafayette, IN, USA. Electronic address: harbins@purdue.edu.

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Indiana Medical Scientist/Engineer Training ProgramT32GM077229 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI GASTON, BENJAMIN, HERBERT, BRITTNEY-SHEA · 2008 to 2022
$6.0M
Interdisciplinary Bioengineering Training in Diabetes ResearchT32DK101001 · NIDDK · PURDUE UNIVERSITY · PI EVANS-MOLINA, CARMELLA, VOYTIK-HARBIN, SHERRY L · 2013 to 2022
$1.6M
NCATS NIH HHS UL1 TR002529NIDDK NIH HHS T32 DK101001NIGMS NIH HHS T32 GM077229
6 · The paper itself

Abstract

Skin wounds are among the most common and costly medical problems experienced. Despite the myriad of treatment options, such wounds continue to lead to displeasing cosmetic outcomes and also carry a high burden of loss-of-function, scarring, contraction, or nonhealing. As a result, the need exists for new therapeutic options that rapidly and reliably restore skin cosmesis and function. Here we present a new mechanobiological computational model to further the design and evaluation of next-generation regenerative dermal scaffolds fabricated from polymerizable collagen. A Bayesian framework, along with microstructure and mechanical property data from engineered dermal scaffolds and autograft skin, were used to calibrate constitutive models for collagen density, fiber alignment and dispersion, and stiffness. A chemo-bio-mechanical finite element model including collagen, cells, and representative cytokine signaling was adapted to simulate no-fill, dermal scaffold, and autograft skin outcomes observed in a preclinical animal model of full-thickness skin wounds, with a focus on permanent contraction, collagen realignment, and cellularization. Finite element model simulations demonstrated wound cellularization and contraction behavior that was similar to that observed experimentally. A sensitivity analysis suggested collagen fiber stiffness and density are important scaffold design features for predictably controlling wound contraction. Finally, prospective simulations indicated that scaffolds with increased fiber dispersion (isotropy) exhibited reduced and more uniform wound contraction while supporting cell infiltration. By capturing the link between multi-scale scaffold biomechanics and cell-scaffold mechanochemical interactions, simulated healing outcomes aligned well with preclinical animal model data. STATEMENT OF SIGNIFICANCE: Skin wounds continue to be a significant burden to patients, physicians, and the healthcare system. Advancing the mechanistic understanding of the wound healing process, including multi-scale mechanobiological interactions amongst cells, the collagen scaffolding, and signaling molecules, will aide in the design of new skin restoration therapies. This work represents the first step towards integrating mechanobiology-based computational tools with in vitro and in vivo preclinical testing data for improving the design and evaluation of custom-fabricated collagen scaffolds for dermal replacement. Such an approach has potential to expedite development of new and more effective skin restoration therapies as well as improve patient-centered wound treatment.

Indexed as

CollagenWound HealingAnimalsBayes TheoremBiophysicsHumansProspective StudiesSkinTissue ScaffoldsCollagenEngineered dermal scaffoldsFinite element analysisGrowth and remodelingSkin wound healingType I oligomeric collagen

Identifiers

PMID34390846
PMCPMC8595617

What OpenQuestion holds

Textmetadata
LicenceTDM
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.