Evidence map›Paper›PMID 29149221›Full record

ArticlePloS one2017

Dietary protein sources differentially affect microbiota, mTOR activity and transcription of mTOR signaling pathways in the small intestine.

Soumya K Kar, Alfons J M Jansman, Nirupama Benis, Javier Ramiro-Garcia, Dirkjan Schokker, Leo Kruijt, Ellen H Stolte, Johanna J Taverne-Thiele, Mari A Smits, Jerry M Wells

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. 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

10 authors at 1 institution in 1 country.

Soumya K KarHost Microbe Interactomics Group, Wageningen University & Research, Wageningen, the Netherlands.
Alfons J M JansmanWageningen Livestock Research, Wageningen University & Research, Wageningen, the Netherlands.
Nirupama BenisHost Microbe Interactomics Group, Wageningen University & Research, Wageningen, the Netherlands.
Javier Ramiro-GarciaLaboratory of Microbiology, Wageningen University & Research, Wageningen, the Netherlands.
Dirkjan SchokkerAnimal Breeding and Genomics Centre, Wageningen University & Research, Wageningen, the Netherlands.
Leo KruijtAnimal Breeding and Genomics Centre, Wageningen University & Research, Wageningen, the Netherlands.
Ellen H StolteHost Microbe Interactomics Group, Wageningen University & Research, Wageningen, the Netherlands.
Johanna J Taverne-ThieleHost Microbe Interactomics Group, Wageningen University & Research, Wageningen, the Netherlands.
Mari A SmitsHost Microbe Interactomics Group, Wageningen University & Research, Wageningen, the Netherlands.
Jerry M WellsHost Microbe Interactomics Group, Wageningen University & Research, Wageningen, the Netherlands.
Wageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dietary protein sources can have profound effects on host-microbe interactions in the gut that are critically important for immune resilience. However more knowledge is needed to assess the impact of different protein sources on gut and animal health. Thirty-six wildtype male C57BL/6J mice of 35 d age (n = 6/group; mean ± SEM body weight 21.9 ± 0.25 g) were randomly assigned to groups fed for four weeks with semi synthetic diets prepared with one of the following protein sources containing (300 g/kg as fed basis): soybean meal (SBM), casein, partially delactosed whey powder, spray dried plasma protein, wheat gluten meal and yellow meal worm. At the end of the experiment, mice were sacrificed to collect ileal tissue to acquire gene expression data, and mammalian (mechanistic) target of rapamycin (mTOR) activity, ileal digesta to study changes in microbiota and serum to measure cytokines and chemokines. By genome-wide transcriptome analysis, we identified fourteen high level regulatory genes that are strongly affected in SBM-fed mice compared to the other experimental groups. They mostly related to the mTOR pathway. In addition, an increased (P < 0.05) concentration of granulocyte colony-stimulating factor was observed in serum of SBM-fed mice compared to other dietary groups. Moreover, by 16S rRNA sequencing, we observed that SBM-fed mice had higher (P < 0.05) abundances of Bacteroidales family S24-7, compared to the other dietary groups. We showed that measurements of genome-wide expression and microbiota composition in the mouse ileum reveal divergent responses to diets containing different protein sources, in particular for a diet based on SBM.

Indexed as

Gene Regulatory NetworksGenes, RegulatorTranscriptomeAnimalsBacteriaBlood ProteinsCaseinsCytokinesDietary ProteinsFood, FormulatedGastrointestinal MicrobiomeGlutensGlycine maxGranulocyte Colony-Stimulating FactorIleumMaleBlood ProteinsCaseinsCytokinesDietary ProteinsgluteninGlutensGranulocyte Colony-Stimulating FactormTOR protein, mouseTOR Serine-Threonine KinasesWhey Proteins

Identifiers

PMID29149221
PMCPMC5693410
OpenAlexW2770533157

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.