ArticleInternational journal of molecular sciences2017
Strategies towards Improved Feed Efficiency in Pigs Comprise Molecular Shifts in Hepatic Lipid and Carbohydrate Metabolism.
Article in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Meta-analysis across Nellore cattle populations identifies common metabolic mechanisms that regulate feed efficiency-related traits.BMC genomics · 2022Pooled it
- Integorated multi-omics reveals the NOS2-metabolite-microbiota regulatory axis underlying feed efficiency in laying hens.Poultry science · 2026Article
- Rosmarinic Acid Ameliorates Obesity-Associated Metabolic Disturbances and Hepatic Steatosis in Mice with High-Fat Diet-Induced Obesity.International journal of molecular sciences · 2026Article
- Arachidonic Acid Metabolic Rewiring Drives Differential Plant Protein Adaptation in Golden Pompano (International journal of molecular sciences · 2026Article
- Transcriptome analysis of liver and ileum reveals potential regulation of long non-coding RNA in pigs with divergent feed efficiency.Animal bioscience · 2025Article
- African Local Pig Genetic Resources in the Context of Climate Change Adaptation.Animals : an open access journal from MDPI · 2024Review
- A genome-wide association study for loin depth and muscle pH in pigs from intensely selected purebred lines.Genetics, selection, evolution : GSE · 2023Article
- Article
- Transcriptome analysis reveals the potential roles of long non-coding RNAs in feed efficiency of chicken.Scientific reports · 2022Article
- A Transcriptome Analysis Reveals that Hepatic Glycolysis and Lipid Synthesis Are Negatively Associated with Feed Efficiency in DLY Pigs.Scientific reports · 2020Article
- Expression of genes related to lipid transport in meat-type ducks divergent for low or high residual feed intake.Asian-Australasian journal of animal sciences · 2020Article
- Genome Wide Assessment of Genetic Variation and Population Distinctiveness of the Pig Family in South Africa.Frontiers in genetics · 2020Article
- Genome-Wide Epistatic Interaction Networks Affecting Feed Efficiency in Duroc and Landrace Pigs.Frontiers in genetics · 2020Article
- Effect of divergence in residual feed intake on expression of lipid metabolism-related genes in the liver of meat-type ducks1.Journal of animal science · 2019Article
- Integrating genome-wide co-association and gene expression to identify putative regulators and predictors of feed efficiency in pigs.Genetics, selection, evolution : GSE · 2019Article
- Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs.BMC genomics · 2019Article
- Article
- A comparative analysis of the transcriptome profiles of liver and muscle tissue in pigs divergent for feed efficiency.BMC genomics · 2019Article
- Transcriptome analysis of adipose tissue from pigs divergent in feed efficiency reveals alteration in gene networks related to adipose growth, lipid metabolism, extracellular matrix, and immune response.Molecular genetics and genomics : MGG · 2019Article
- RNA-Seq of Liver From Pigs Divergent in Feed Efficiency Highlights Shifts in Macronutrient Metabolism, Hepatic Growth and Immune Response.Frontiers in genetics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to the central role of liver tissue in partitioning and metabolizing of nutrients, molecular liver-specific alterations are of considerable interest to characterize an efficient conversion and usage of feed in livestock. To deduce tissue-specific and systemic effects on nutrient metabolism and feed efficiency (FE) twenty-four animals with extreme phenotypes regarding residual feed intake (RFI) were analyzed. Transcriptome and fatty acid profiles of liver tissue were complemented with measurements on blood parameters and thyroid hormone levels. Based on 803 differentially-abundant probe sets between low- and high-FE animals, canonical pathways like integrin signaling and lipid and carbohydrate metabolism, were shown to be affected. Molecular alterations of lipid metabolism show a pattern of a reduced hepatic usage of fatty acids in high-FE animals. Complementary analyses at the systemic level exclusively pointed to increased circulating triglycerides which were, however, accompanied by considerably lower concentrations of saturated and polyunsaturated fatty acids in the liver of high-FE pigs. These results are in accordance with altered muscle-to-fat ratios usually ascribed to FE animals. It is concluded that strategies to improve FE might favor a metabolic shift from energy storage towards energy utilization and mobilization.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.