Evidence map›Paper›PMID 39972630›Full record

ReviewAdvanced healthcare materials2025

A Comparison of the Mechanical Properties of ECM Components and Synthetic Self-Assembling Peptides.

Alex Hartley, Philip Michael Williams, Alvaro Mata

Abstract readReviewComparative Study
In one paragraph

Review in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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.

Alex HartleySchool of Pharmacy, University of Nottingham, University Park Campus, Nottingham, NG7 2RD, UK.ORCID 0000-0002-0227-2240
Philip Michael WilliamsSchool of Pharmacy, University of Nottingham, University Park Campus, Nottingham, NG7 2RD, UK.
Alvaro MataSchool of Pharmacy, University of Nottingham, University Park Campus, Nottingham, NG7 2RD, UK.ORCID 0000-0002-6739-9111

Funding

AO Foundation (AO CMF) AOCMF-21-04SEngineering and Physical Sciences Research Council EP/T517902/1Engineering and Physical Sciences Research Council EP/W524402/1Medical Research Council MR/R015651/1NIHR Nottingham Biomedical Research Centre (University of Nottingham)
6 · The paper itself

Abstract

The field of tissue engineering is increasingly moving away from a one-size-fits-all approach of simple synthetic homogeneous gels, and embracing more tailored designs to optimize cell function and differentiation for the organ of interest. Extracellular matrix (ECM) proteins are still the optimal route for controlling cell function, while a field of great promise is that of synthetic self-assembling peptides (SSAPs), which are fully biocompatible, biodegradable, and offer both the hierarchical structure and dynamic properties displayed by protein networks found in natural tissue. However, the mechanical properties of neither group have been comprehensively reviewed. In this review, rheological data and the Young's modulus of the most prevalent proteins involved in the ECM (collagen I, elastin, and fibronectin) are collated for the first time, and compared against the most widely researched SSAPs: peptide amphiphiles (PAs), β-sheets, β-hairpin peptides, and Fmoc-based gels (with a focus on PA-E3, RADA16, MAX1, and FmocFF, respectively).

Indexed as

Extracellular MatrixExtracellular Matrix ProteinsPeptidesAnimalsElastic ModulusElastinHumansTissue EngineeringElastinExtracellular Matrix ProteinsPeptidesbreaking straincollagen IelastinfibronectinFmoc‐FFloss modulusMAX1RADA16‐Istorage modulustangent modulusviscoelasticityYoung's modulus

Identifiers

PMID39972630
PMCPMC12023840

What OpenQuestion holds

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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.