Evidence map›Paper›PMID 38489079›Full record

ArticleBiomechanics and modeling in mechanobiology2024

A quadriphasic mechanical model of the human dermis.

David Sachs, Raphael Jakob, Gaetana Restivo, Jürg Hafner, Nicole Lindenblatt, Alexander E Ehret, Edoardo Mazza

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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.

David SachsInstitute for Mechanical Systems, ETH Zürich, Zurich, Switzerland. sachs@imes.mavt.ethz.ch.
Raphael JakobInstitute for Mechanical Systems, ETH Zürich, Zurich, Switzerland.
Gaetana RestivoDepartment of Dermatology, University Hospital Zürich, Zurich, Switzerland.
Jürg HafnerDepartment of Dermatology, University Hospital Zürich, Zurich, Switzerland.
Nicole LindenblattDepartment of Plastic Surgery and Hand Surgery, University Hospital Zürich, Zurich, Switzerland.
Alexander E EhretInstitute for Mechanical Systems, ETH Zürich, Zurich, Switzerland.
Edoardo MazzaInstitute for Mechanical Systems, ETH Zürich, Zurich, Switzerland. mazza@imes.mavt.ethz.ch.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 213498
6 · The paper itself

Abstract

The present study investigates the multiphasic nature of the mechanical behavior of human dermis. Motivated by experimental observations and by consideration of its composition, a quadriphasic model of the dermis is proposed, distinguishing solid matrix components, interstitial fluid and charged constituents moving within the fluid, i.e., anions and cations. Compression and tensile experiments with and without change of osmolarity of the bath are performed to characterize the chemo-mechanical coupling in the dermis. Model parameters are determined through inverse analysis. The computations predict a dominant role of the permeability in the determination of the temporal evolution of the mechanical response of the tissue. In line with the previous studies on other tissues, the analysis shows that an ideal model based on Donnan's equilibrium overestimates the osmotic pressure in skin for the case of very dilute solutions. The quadriphasic model is applied to predict changes in dermal cell environment and therefore alterations in what is called the "mechanome," associated with skin stretch. The simulations indicate that skin deformation causes a variation in several local variables, including in particular the electric field associated with a deformation-induced non-homogeneous distribution of fixed charges.

Indexed as

DermisModels, BiologicalBiomechanical PhenomenaComputer SimulationHumansStress, MechanicalTensile StrengthDermisElectrical potentialMechanobiologyOsmotic pressureQuadriphasic model

Identifiers

PMID38489079
PMCPMC11584490

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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.