Evidence map›Paper›PMID 38800131›Full record

ArticleISME communications2024

Integrated multi-omics approach reveals novel associations in the rapeseed diet-microbiota-host axis in pigs.

Özgün C Onarman Umu, Liv Torunn Mydland, Chi Chen, Marta Pérez de Nanclares, Gerald C Shurson, Pedro E Urriola, Henning Sørum, Margareth Øverland

Abstract read
In one paragraph

Article in ISME communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Big Data and AI-Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

8 authors.

Özgün C Onarman UmuDepartment of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås N-1432, Norway.
Liv Torunn MydlandDepartment of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås N-1432, Norway.
Chi ChenDepartment of Food Science and Nutrition, University of Minnesota, St Paul, MN 55108, United States.
Marta Pérez de NanclaresDepartment of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås N-1432, Norway.
Gerald C ShursonDepartment of Animal Science, University of Minnesota, St Paul, MN 55108, United States.
Pedro E UrriolaDepartment of Animal Science, University of Minnesota, St Paul, MN 55108, United States.
Henning SørumDepartment of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås N-1432, Norway.
Margareth ØverlandDepartment of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås N-1432, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diet-mediated host-microbiota interplay is a key factor in optimizing the gut function and overall health of the host. Gaining insight into the biological mechanisms behind this relationship is fundamental to finding sustainable, environment-friendly feed solutions in livestock production systems. Here, we apply a multi-omics integration approach to elucidate sustainable diet-associated host-gut microbiota interactions in pigs and we demonstrate novel and biologically relevant host-microbe associations in the gut, driven by a rapeseed meal-based feed (RSF). Interestingly, RSF-diet promoted the abundance of segmented filamentous bacteria

Indexed as

dietgut healthmicrobiotamulti-omicspigs

Identifiers

PMID38800131
PMCPMC11128262

What OpenQuestion holds

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LicenceCC BY
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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.