Evidence map›Paper›PMID 36346230›Full record

ArticleMicrobiology spectrum2022

Short-Term Tomato Consumption Alters the Pig Gut Microbiome toward a More Favorable Profile.

Mallory L Goggans, Emma A Bilbrey, Cristian D Quiroz-Moreno, David M Francis, Sheila K Jacobi, Jasna Kovac, Jessica L Cooperstone

Abstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Mallory L GoggansFood Science and Technology, The Ohio State University, Columbus, Ohio, USA.
Emma A BilbreyHorticulture and Crop Science, The Ohio State University, Columbus, Ohio, USA.
Cristian D Quiroz-MorenoHorticulture and Crop Science, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0002-9069-9147
David M FrancisHorticulture and Crop Science, The Ohio State University, Wooster, Ohio, USA.ORCID 0000-0003-2016-1357
Sheila K JacobiAnimal Sciences, The Ohio State University, Columbus, Ohio, USA.
Jasna KovacFood Science, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID 0000-0002-9465-4552
Jessica L CooperstoneFood Science and Technology, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0001-7920-0088

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diets rich in fruits and vegetables have been shown to exert positive effects on the gut microbiome. However, little is known about the specific effect of individual fruits or vegetables on gut microbe profiles. This study aims to elucidate the effects of tomato consumption on the gut microbiome, as tomatoes account for 22% of vegetable consumption in Western diets, and their consumption has been associated with positive health outcomes. Using piglets as a physiologically relevant model of human metabolism, 20 animals were assigned to either a control or a tomato powder-supplemented diet (both macronutrient matched and isocaloric) for 14 days. The microbiome was sampled rectally at three time points: day 0 (baseline), day 7 (midpoint), and day 14 (end of study). DNA was sequenced using shotgun metagenomics, and reads were annotated using MG-RAST. There were no differences in body weight or feed intake between our two treatment groups. There was a microbial shift which included a higher ratio of

Indexed as

Gastrointestinal MicrobiomeSolanum lycopersicumAnimalsBacillotaBacteroidetesDietFecesHumansSwineVegetablesgut microbiomenutritionpigtomato

Identifiers

PMID36346230
PMCPMC9769997

What OpenQuestion holds

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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.