Evidence map›Paper›PMID 42076763›Full record

ArticleVeterinary sciences2026

Genetic Selection for Growth Rate Reshapes the Plasma Metabolome of Rabbit Does Derived from Vitrified Embryos: Insights into Nutrient Metabolism and Productive Efficiency.

Jorge Mateo-López, Alejandro Huertas-Herrera, Mónica Toro-Manríquez, Mette Skou Hedemann, César Cortés-García, Lola Llobat, Diego Páez-Rosas, María Cambra-López, Juan José Pascual, Pablo Jesús Marín-García

Abstract read
In one paragraph

Article in Veterinary sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jorge Mateo-LópezDepartment of Animal Production and Health and Food Science and Technology (PASAPTA), Medicine Veterinary Faculty, Universidad Cardenal Herrera-CEU, CEU Universities, 46113 Valencia, Spain.
Alejandro Huertas-HerreraCentro de Investigación en Ecosistemas de la Patagonia (CIEP), Camino Baguales s/n Km 4.7, Coyhaique 5951601, Chile.
Mónica Toro-ManríquezCentro de Investigación en Ecosistemas de la Patagonia (CIEP), Camino Baguales s/n Km 4.7, Coyhaique 5951601, Chile.ORCID 0000-0001-6492-1333
Mette Skou HedemannDepartment of Animal and Veterinary Sciences, Aarhus University, Blichers Alle 20, DK-8830 Tjele, Denmark.
César Cortés-GarcíaDepartment of Animal Production and Health and Food Science and Technology (PASAPTA), Medicine Veterinary Faculty, Universidad Cardenal Herrera-CEU, CEU Universities, 46113 Valencia, Spain.
Lola LlobatMolecular Mechanisms of Zoonotic Diseases (MMOPS) Research Group, Department of Animal Production and Health and Food Science and Technology (PASAPTA), Medicine Veterinary Faculty, Universidad Cardenal Herrera-CEU, CEU Universities, 46113 Valencia, Spain.ORCID 0000-0002-9806-9174
Diego Páez-RosasGalapagos Science Center, Universidad San Francisco de Quito, Isla San Cristóbal, Islas Galápagos 200150, Ecuador.ORCID 0000-0002-2446-9888
María Cambra-LópezInstitute for Animal Science and Technology, Universitat Politècnica de València, 46022 Valencia, Spain.
Juan José PascualInstitute for Animal Science and Technology, Universitat Politècnica de València, 46022 Valencia, Spain.
Pablo Jesús Marín-GarcíaDepartment of Animal Production and Health and Food Science and Technology (PASAPTA), Medicine Veterinary Faculty, Universidad Cardenal Herrera-CEU, CEU Universities, 46113 Valencia, Spain.ORCID 0000-0001-9593-3476

Funding

Generalitat Valenciana CIGE/2023/12
6 · The paper itself

Abstract

In response to the growing global demand for food, intensive genetic selection programs have been implemented to improve livestock efficiency and productivity. Understanding how such selection alters metabolism across nutritional stages is essential for optimizing feeding strategies. In this study, we examined the impact of long-term genetic selection for growth rate (GR) on the plasma metabolome of reproductive female rabbits using an untargeted metabolomics approach. Two vitrified-rederived populations from the same paternal line but separated by 18 generations of GR selection (R19V and R37V) were compared under identical environmental and nutritional conditions. We analyzed 48 plasma samples, showing that GR selection significantly influenced the metabolomic profile. Notably, R37V does exhibited a 76% increase in phospholipid LysoPE (0:0/20:4) concentrations (

Indexed as

agri-food chainefficiencyLPEmeat qualitymetabolome

Identifiers

PMID42076763
PMCPMC13120554

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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.