Evidence map›Paper›PMID 42711351›Full record

ArticleNature communications2026

Decoupling mechanical and morphometric properties in meta-biomaterials.

Ebrahim Yarali, Urs Staufer, Lidy E Fratila-Apachitei, Abdulrahman Al-Sanea, Reza Mahdavi, Amir A Zadpoor, Angelo Accardo, Mohammad J Mirzaali

Abstract read
In one paragraph

Article in Nature communications, 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
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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

8 authors.

Ebrahim YaraliDepartment of Biomechanical Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Delft, the Netherlands. E.yarali@tudelft.nl.ORCID http://orcid.org/0000-0002-1642-8269
Urs StauferDepartment of Precision and Microsystems Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Delft, the Netherlands.ORCID http://orcid.org/0000-0002-3519-6467
Lidy E Fratila-ApachiteiDepartment of Biomechanical Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Delft, the Netherlands.
Abdulrahman Al-SaneaDepartment of Biomechanical Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Delft, the Netherlands.
Reza MahdaviDepartment of Industrial Engineering, BIOtech - Center for Biomedical Technologies, University of Trento, Trento, Italy.
Amir A ZadpoorDepartment of Biomechanical Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Delft, the Netherlands.ORCID http://orcid.org/0000-0003-3234-2112
Angelo AccardoDepartment of Precision and Microsystems Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Delft, the Netherlands. A.Accardo@tudelft.nl.ORCID http://orcid.org/0000-0003-0442-3652
Mohammad J MirzaaliDepartment of Biomechanical Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Delft, the Netherlands. M.J.Mirzaali@tudelft.nl.ORCID http://orcid.org/0000-0002-5349-6922

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A significant challenge in developing meta-biomaterials is the effective decoupling of their intrinsically intertwined mechanical properties (e.g., elastic and shear moduli, Poisson's ratio, and anisotropy level), morphometric properties (e.g., relative mass density, pore size, and surface-to-volume ratio), and mass-transport properties (e.g., permeability). To address this challenge, we introduce a general framework for decoupling mechanical and morphometric properties in non-stochastic, three-dimensional meta-biomaterials. We first derived explicit geometrical relationships to determine the upper and lower bounds of the input geometrical parameters while ensuring relevance to in vitro biological conditions. Using a high-throughput numerical homogenization method (44,837 simulations) combined with systematic multi-objective optimization, we successfully decoupled Poisson's ratio and relative mass density from all other properties, with average deviations below ~14%. The optimized meta-biomaterials were additively manufactured at the macro- and microscales using PolyJet 3D printing and two-photon polymerization, respectively, and experimentally validated in terms of effective elastic modulus, Poisson's ratio, and permeability. The established decoupling framework provides a promising route for advancing tissue engineering and cell mechanobiology studies by enabling independent investigation of the effects of individual scaffold properties on cell behavior.

Identifiers

PMID42711351
PMCPMC13554147

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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.