Evidence map›Paper›PMID 39872170›Full record

ArticleIn vitro models2023

Ex vivo models for intestinal translocation studies of cellulose nanocrystals.

Michelle Müller, Roland Drexel, Marie Burkhart, Stephan Dähnhardt-Pfeiffer, Lena Wien, Christine Herrmann, Thorsten Knoll, Christoph Metzger, Heiko Briesen, Sylvia Wagner and 2 more

Abstract read
In one paragraph

Article in In vitro models, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. An Integrated Approach to Evaluate the Influence of DietaryAnimals : an open access journal from MDPI · 2026
    Article
  2. 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

12 authors.

Michelle MüllerDepartment Bioprocessing & Bioanalytics, Fraunhofer Institute for Biomedical Engineering IBMT, Joseph-von-Fraunhofer-Weg 1, 66280 Sulzbach, Germany.
Roland DrexelPostnova Analytics GmbH, Rankinestr. 1, 86899 Landsberg am Lech, Germany.ORCID 0000-0003-1256-0315
Marie BurkhartDepartment Bioprocessing & Bioanalytics, Fraunhofer Institute for Biomedical Engineering IBMT, Joseph-von-Fraunhofer-Weg 1, 66280 Sulzbach, Germany.
Stephan Dähnhardt-PfeifferMicroscopy Services Dähnhardt GmbH, Plambeckskamp 2, 24220 Flintbek, Germany.
Lena WienDepartment Bioprocessing & Bioanalytics, Fraunhofer Institute for Biomedical Engineering IBMT, Joseph-von-Fraunhofer-Weg 1, 66280 Sulzbach, Germany.
Christine HerrmannProcess Systems Engineering, School of Life Sciences, Technical University Munich, Gregor-Mendel-Str. 4, 85354 Freising, Germany.
Thorsten KnollDepartment Bioprocessing & Bioanalytics, Fraunhofer Institute for Biomedical Engineering IBMT, Joseph-von-Fraunhofer-Weg 1, 66280 Sulzbach, Germany.ORCID 0000-0002-9180-7883
Christoph MetzgerProcess Systems Engineering, School of Life Sciences, Technical University Munich, Gregor-Mendel-Str. 4, 85354 Freising, Germany.ORCID 0000-0003-1582-8305
Heiko BriesenProcess Systems Engineering, School of Life Sciences, Technical University Munich, Gregor-Mendel-Str. 4, 85354 Freising, Germany.ORCID 0000-0001-7725-5907
Sylvia WagnerDepartment Bioprocessing & Bioanalytics, Fraunhofer Institute for Biomedical Engineering IBMT, Joseph-von-Fraunhofer-Weg 1, 66280 Sulzbach, Germany.ORCID 0000-0001-7922-977X
Florian MeierPostnova Analytics GmbH, Rankinestr. 1, 86899 Landsberg am Lech, Germany.ORCID 0000-0003-1395-4877
Yvonne KohlDepartment Bioprocessing & Bioanalytics, Fraunhofer Institute for Biomedical Engineering IBMT, Joseph-von-Fraunhofer-Weg 1, 66280 Sulzbach, Germany.ORCID 0000-0001-8119-5441

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Cellulose nanocrystals (CNC) play a promising role in the development of new advanced materials. The growing demand of CNC-containing products in the food industry will lead to an increased human exposure through oral uptake. To date, there is a dearth of studies reporting on the risks which CNC pose to human health following ingestion. In vitro models, which lack physiological accuracy, are often used to justify animal experiments in the field of nanosafety assessment. Nevertheless, ex vivo models of the intestine pose promising alternatives to in vivo experiments. Methods: Two ex vivo models, a microfluidic chip based on porcine intestinal mucus and the Ussing chamber apparatus with tissue from abattoirs, which aim to complement in vitro models, are characterized by investigating the transport and toxicity of CNC through them in comparison to an in vitro triple co-culture model. Silver nanoparticles were included in this study as well-known and characterized nanomaterials for comparative purposes. Results: Study results show that CNC cross the intestinal mucus layer but do not pass the intestinal tissue barrier ex vivo and in vitro; furthermore, no toxic effects were observed under exposure conditions tested. Conclusion: These ex vivo models present complementary methods to the existing standardized in vitro and in silico methods to support data generation under physiologically relevant conditions without the use of animals. This multi-model approach offers an enhanced understanding of the complex interaction between new materials and human tissue and aligns with the flexible approach of IATA (Integrated Approaches to Testing and Assessment) and NAMs (New Approach Methods) for chemical and drug safety assessment. Supplementary Information: The online version contains supplementary material available at 10.1007/s44164-023-00056-x.

Indexed as

Asymmetrical flow field flow fractionationElectron microscopic imagingMicrofluidicsMucus barrierPrimary intestinal tissue

Identifiers

PMID39872170
PMCPMC11756450

What OpenQuestion holds

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Registered trials

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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.