Evidence map›Paper›PMID 28490729›Full record

ArticleScientific reports2017

A comparative multi-parametric in vitro model identifies the power of test conditions to predict the fibrotic tendency of a biomaterial.

Maren Jannasch, Sabine Gaetzner, Tobias Weigel, Heike Walles, Tobias Schmitz, Jan Hansmann

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

6 authors.

Maren JannaschUniversity Hospital Wuerzburg, Department Tissue Engineering and Regenerative Medicine (TERM), Roentgenring 11, 97070, Wuerzburg, Germany.
Sabine GaetznerUniversity Hospital Wuerzburg, Department Tissue Engineering and Regenerative Medicine (TERM), Roentgenring 11, 97070, Wuerzburg, Germany.
Tobias WeigelUniversity Hospital Wuerzburg, Department Tissue Engineering and Regenerative Medicine (TERM), Roentgenring 11, 97070, Wuerzburg, Germany.
Heike WallesUniversity Hospital Wuerzburg, Department Tissue Engineering and Regenerative Medicine (TERM), Roentgenring 11, 97070, Wuerzburg, Germany.
Tobias SchmitzUniversity Hospital Wuerzburg, Department Tissue Engineering and Regenerative Medicine (TERM), Roentgenring 11, 97070, Wuerzburg, Germany.
Jan HansmannUniversity Hospital Wuerzburg, Department Tissue Engineering and Regenerative Medicine (TERM), Roentgenring 11, 97070, Wuerzburg, Germany. Jan.Hansmann@uni-wuerzburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite growing effort to advance materials towards a low fibrotic progression, all implants elicit adverse tissue responses. Pre-clinical biomaterial assessment relies on animals testing, which can be complemented by in vitro tests to address the Russell and Burch's 3R aspect of reducing animal burden. However, a poor correlation between in vitro and in vivo biomaterial assessments confirms a need for suitable in vitro biomaterial tests. The aim of the study was to identify a test setting, which is predictive and might be time- and cost-efficient. We demonstrated how sensitive in vitro biomaterial assessment based on human primary macrophages depends on test conditions. Moreover, possible clinical scenarios such as lipopolysaccharide contamination, contact to autologous blood plasma, and presence of IL-4 in an immune niche influence the outcome of a biomaterial ranking. Nevertheless, by using glass, titanium, polytetrafluorethylene, silicone, and polyethylene representing a specific material-induced fibrotic response and by comparison to literature data, we were able to identify a test condition that provides a high correlation to state-of-the-art in vivo studies. Most important, biomaterial ranking obtained under native plasma test conditions showed a high predictive accuracy compared to in vivo assessments, strengthening a biomimetic three-dimensional in vitro test platform.

Indexed as

Models, BiologicalBiocompatible MaterialsCell DifferentiationCell ShapeCell SurvivalCytokinesFibrosisHumansInflammation MediatorsMacrophagesPhenotypePlasma GasesBiocompatible MaterialsCytokinesInflammation MediatorsPlasma Gases

Identifiers

PMID28490729
PMCPMC5431855

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.