Evidence map›Paper›PMID 35057113›Full record

ArticlePharmaceutics2022

The Fast Track for Intestinal Tumor Cell Differentiation and In Vitro Intestinal Models by Inorganic Topographic Surfaces.

Matteo Centonze, Erwin J W Berenschot, Simona Serrati, Arturo Susarrey-Arce, Silke Krol

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2022. 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
0.6field-weighted citation impact, top 32% of its field
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, 7 citations in OpenAlex.

  1. Article
  2. Dissecting the role of flagellar subunits inJournal of bacteriology · 2025
    Article
  3. Article
  4. Article
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

5 authors at 3 institutions in 2 countries.

Matteo CentonzeLaboratory for Personalized Medicine, National Institute of Gastroenterology, "S. de Bellis" Research Hospital, Castellana Grotte Via Turi 27, 70013 Bari, BA, Italy.
Erwin J W BerenschotMesoscale Chemical Systems, MESA+ Institute, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
Simona SerratiNanotechnology Laboratory, IRCCS Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124 Bari, BA, Italy.
Arturo Susarrey-ArceMesoscale Chemical Systems, MESA+ Institute, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
Silke KrolLaboratory for Personalized Medicine, National Institute of Gastroenterology, "S. de Bellis" Research Hospital, Castellana Grotte Via Turi 27, 70013 Bari, BA, Italy.ORCID 0000-0003-3108-9821
Gastroenterology Hospital "Saverio de Bellis" · ITUniversity of Twente · NLIstituto Tumori Bari · IT

Funding

Ministero della Salute RC2021
6 · The paper itself

Abstract

Three-dimensional (3D) complex in vitro cell systems are well suited to providing meaningful and translatable results in drug screening, toxicity measurements, and biological studies. Reliable complex gastrointestinal in vitro models as a testbed for oral drug administration and toxicity are very valuable in achieving predictive results for clinical trials and reducing animal testing. However, producing these models is time-consuming due to the lengthy differentiation of HT29 or other cells into mucus-producing goblet cells or other intestinal cell lineages. In the present work, HT29 cells were grown on an inorganic topographic surface decorated with a periodic pattern of micrometre-sized amorphous SiO

Indexed as

HT29 differentiationin vitro intestinal modellectinsPaneth cellstopographic surfaces

Identifiers

PMID35057113
PMCPMC8781367
OpenAlexW4206217538

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.