Evidence map›Paper›PMID 38409238›Full record

ArticleScientific reports2024

Integrated transcriptomics and proteomics analysis reveals muscle metabolism effects of dietary Ulva lactuca and ulvan lyase supplementation in weaned piglets.

David Miguel Ribeiro, Diogo Coelho, Mónica Costa, Daniela Filipa Pires Carvalho, Céline C Leclercq, Jenny Renaut, João Pedro Bengala Freire, André Martinho Almeida, José António Mestre Prates

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. 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
3.8field-weighted citation impact, top 8% 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, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Sustainable Production ofFoods (Basel, Switzerland) · 2024
    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

9 authors at 3 institutions in 2 countries.

David Miguel RibeiroAssociate Laboratory TERRA, LEAF - Linking Landscape, Environment, Agriculture and Food Research Centre, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017, Lisbon, Portugal.
Diogo CoelhoFaculdade de Medicina Veterinária, CIISA - Centre for Interdisciplinary Research in Animal Health, Universidade de Lisboa, 1300-477, Lisbon, Portugal.
Mónica CostaFaculdade de Medicina Veterinária, CIISA - Centre for Interdisciplinary Research in Animal Health, Universidade de Lisboa, 1300-477, Lisbon, Portugal.
Daniela Filipa Pires CarvalhoAssociate Laboratory TERRA, LEAF - Linking Landscape, Environment, Agriculture and Food Research Centre, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017, Lisbon, Portugal.
Céline C LeclercqBiotechnology Environmental Analysis Platform (BEAP), Environmental Research and Innovation Department (ERIN), LIST- Luxembourg Institute of Science and Technology, 5, Rue Bommel, 4940, Hautcharage, Luxembourg.
Jenny RenautBiotechnology Environmental Analysis Platform (BEAP), Environmental Research and Innovation Department (ERIN), LIST- Luxembourg Institute of Science and Technology, 5, Rue Bommel, 4940, Hautcharage, Luxembourg.
João Pedro Bengala FreireAssociate Laboratory TERRA, LEAF - Linking Landscape, Environment, Agriculture and Food Research Centre, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017, Lisbon, Portugal.
André Martinho AlmeidaAssociate Laboratory TERRA, LEAF - Linking Landscape, Environment, Agriculture and Food Research Centre, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017, Lisbon, Portugal.
José António Mestre PratesFaculdade de Medicina Veterinária, CIISA - Centre for Interdisciplinary Research in Animal Health, Universidade de Lisboa, 1300-477, Lisbon, Portugal. japrates@fmv.ulisboa.pt.
University of Lisbon · PTLuxembourg Institute of Science and Technology · LUInstituto Nacional de Investigação Agrária e Veterinária · PT

Funding

Fundação para a Ciência e a Tecnologia PTDC/CAL-ZOO/30238/2017
6 · The paper itself

Abstract

Seaweeds, including the green Ulva lactuca, can potentially reduce competition between feed, food, and fuel. They can also contribute to the improved development of weaned piglets. However, their indigestible polysaccharides of the cell wall pose a challenge. This can be addressed through carbohydrase supplementation, such as the recombinant ulvan lyase. The objective of our study was to assess the muscle metabolism of weaned piglets fed with 7% U. lactuca and 0.01% ulvan lyase supplementation, using an integrated transcriptomics (RNA-seq) and proteomics (LC-MS) approach. Feeding piglets with seaweed and enzyme supplementation resulted in reduced macronutrient availability, leading to protein degradation through the proteasome (PSMD2), with resulting amino acids being utilized as an energy source (GOT2, IDH3B). Moreover, mineral element accumulation may have contributed to increased oxidative stress, evident from elevated levels of antioxidant proteins like catalase, as a response to maintaining tissue homeostasis. The upregulation of the gene AQP7, associated with the osmotic stress response, further supports these findings. Consequently, an increase in chaperone activity, including HSP90, was required to repair damaged proteins. Our results suggest that enzymatic supplementation may exacerbate the effects observed from feeding U. lactuca alone, potentially due to side effects of cell wall degradation during digestion.

Indexed as

Edible SeaweedsPolysaccharidesProteomicsSeaweedUlvaAnimalsDietary SupplementsGene Expression ProfilingMusclesSwinePolysaccharidesulvanMuscleProteomicsTranscriptomicsUlva lactucaWeaned piglet

Identifiers

PMID38409238
PMCPMC10967369
OpenAlexW4392165756

What Socratic 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 Socratic graph.