ArticleCommunications biology2023
Plasma metabolomic profiling in two rabbit lines divergently selected for intramuscular fat content.
Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Beyond Genes: Metabolomic Evidence Indicates Potential Species-Level Differentiation in European Wild Rabbits.Journal of experimental zoology. Part A, Ecological and integrative physiology · 2026Article
- Transcriptomic Analysis in the Liver of Two Rabbit Lines Divergently Selected for Intramuscular Fat Content.Animal genetics · 2026Article
- Article
- Correlated Responses to Selection for Intramuscular Fat on the Gut Microbiome in Rabbits.Animals : an open access journal from MDPI · 2024Article
- Biomarkers for ideal protein: rabbit diet metabolomics varying key amino acids.Communications biology · 2024Article
- Cecal metabolomics of 2 divergently selected rabbit lines revealed microbial mechanisms correlated to intramuscular fat deposition.Journal of animal science · 2024Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study provides a thorough comparison of the plasma metabolome of two rabbit lines divergently selected for intramuscular fat content (IMF). The divergent selection led to a correlated response in the overall adiposity, turning these lines into a valuable animal material to study also the genetics of obesity. Over 900 metabolites were detected, and the adjustment of multivariate models, both discriminant and linear, allowed to identify 322 with differential abundances between lines, which also adjusted linearly to the IMF content. The most affected pathways were those of lipids and amino acids, with differences between lines ranging from 0.23 to 6.04 standard deviations, revealing a limited capacity of the low-IMF line to obtain energy from lipids, and a greater branched-chain amino acids catabolism in the high-IMF line related to its increased IMF content. Additionally, changes in metabolites derived from microbial activity supported its relevant role in the lipid deposition. Future research will focus on the analysis of the metabolomic profile of the cecum content, and on the integration of the several -omics datasets available for these lines, to help disentangle the host and microbiome biological mechanisms involved in the IMF deposition.
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Registered trials
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.