Evidence map›Paper›PMID 27631494›Full record

ArticlePloS one2016

Effects of Digested Onion Extracts on Intestinal Gene Expression: An Interspecies Comparison Using Different Intestine Models.

Nicole J W de Wit, Marcel Hulst, Coen Govers, Jan van der Meulen, Angeline van Hoef, Geert Stoopen, Astrid Hamers, Arjan Hoekman, Ric de Vos, Toine F H Bovee and 3 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2016. 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
0.9field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Frontiers in microbiology · 2018
    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

13 authors at 1 institution in 1 country.

Nicole J W de WitFood & Biobased Research, Wageningen University and Research Centre, Wageningen, The Netherlands.
Marcel HulstWageningen Livestock Research, Wageningen University and Research Centre, Wageningen, The Netherlands.
Coen GoversFood & Biobased Research, Wageningen University and Research Centre, Wageningen, The Netherlands.
Jan van der MeulenWageningen Livestock Research, Wageningen University and Research Centre, Wageningen, The Netherlands.
Angeline van HoefRIKILT-Institute of Food Safety Wageningen University and Research Centre, Wageningen, The Netherlands.
Geert StoopenRIKILT-Institute of Food Safety Wageningen University and Research Centre, Wageningen, The Netherlands.
Astrid HamersRIKILT-Institute of Food Safety Wageningen University and Research Centre, Wageningen, The Netherlands.
Arjan HoekmanWageningen Livestock Research, Wageningen University and Research Centre, Wageningen, The Netherlands.
Ric de VosPlant Research International, Wageningen University and Research Centre, Wageningen, The Netherlands.
Toine F H BoveeRIKILT-Institute of Food Safety Wageningen University and Research Centre, Wageningen, The Netherlands.
Mari SmitsWageningen Livestock Research, Wageningen University and Research Centre, Wageningen, The Netherlands.
Jurriaan J MesFood & Biobased Research, Wageningen University and Research Centre, Wageningen, The Netherlands.
Peter J M HendriksenRIKILT-Institute of Food Safety Wageningen University and Research Centre, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0002-0951-3270
Wageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human intestinal tissue samples are barely accessible to study potential health benefits of nutritional compounds. Numbers of animals used in animal trials, however, need to be minimalized. Therefore, we explored the applicability of in vitro (human Caco-2 cells) and ex vivo intestine models (rat precision cut intestine slices and the pig in-situ small intestinal segment perfusion (SISP) technique) to study the effect of food compounds. In vitro digested yellow (YOd) and white onion extracts (WOd) were used as model food compounds and transcriptomics was applied to obtain more insight into which extent mode of actions depend on the model. The three intestine models shared 9,140 genes which were used to compare the responses to digested onions between the models. Unsupervised clustering analysis showed that genes up- or down-regulated by WOd in human Caco-2 cells and rat intestine slices were similarly regulated by YOd, indicating comparable modes of action for the two onion species. Highly variable responses to onion were found in the pig SISP model. By focussing only on genes with significant differential expression, in combination with a fold change > 1.5, 15 genes showed similar onion-induced expression in human Caco-2 cells and rat intestine slices and 2 overlapping genes were found between the human Caco-2 and pig SISP model. Pathway analyses revealed that mainly processes related to oxidative stress, and especially the Keap1-Nrf2 pathway, were affected by onions in all three models. Our data fit with previous in vivo studies showing that the beneficial effects of onions are mostly linked to their antioxidant properties. Taken together, our data indicate that each of the in vitro and ex vivo intestine models used in this study, taking into account their limitations, can be used to determine modes of action of nutritional compounds and can thereby reduce the number of animals used in conventional nutritional intervention studies.

Indexed as

AnimalsCaco-2 CellsGene ExpressionHumansIntestinal MucosaIntestinesOnionsPlant ExtractsRatsSpecies SpecificityPlant Extracts

Identifiers

PMID27631494
PMCPMC5025074
OpenAlexW2518706484

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.