ArticleMetabolites2020
Serum Metabolite Biomarkers for Predicting Residual Feed Intake (RFI) of Young Angus Bulls.
Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 36 citations in OpenAlex.
- Blood plasma proteome analysis reveals biological mechanisms and potential biomarkers underlying feed efficiency in Texel sheep.Tropical animal health and production · 2026Article
- Candidate blood biomarkers linked with feed intake efficiency and weight gain in sheep.Scientific reports · 2026Article
- Plasma biomarkers for residual feed intake prediction in beef bulls.Translational animal science · 2026Article
- Fecal metabolome in Nelore bulls fed pre- and post-feedlot diets.Tropical animal health and production · 2025Article
- Integration of epigenomic and genomic data to predict residual feed intake and the feed conversion ratio in dairy sheep via machine learning algorithms.BMC genomics · 2025Article
- Circulating serum metabolites as biomarkers and predictors of residual feed intake in lactating dairy cows.Scientific reports · 2025Article
- Review
- Study of Plasma Biochemistry and Plasma Metabolomics Differences in Montbéliard and Holstein Backcross and Holstein Heifers.Animals : an open access journal from MDPI · 2024Article
- Some plasma biomarkers of residual feed intake in beef cattle remain consistent regardless of intake level.Scientific reports · 2024Article
- Best Practices in NMR Metabolomics: Current State.Trends in analytical chemistry : TRAC · 2024Article
- Effect of Rumen-Protected Methionine on Metabolic Profile of Liver, Muscle and Blood Serum Samples of Growing German Simmental Bulls Fed Protein-Reduced Diets.Metabolites · 2023Article
- Small molecule metabolites: discovery of biomarkers and therapeutic targets.Signal transduction and targeted therapy · 2023Review
- Buffalo milk and rumen fluid metabolome are significantly affected by green feed.Scientific reports · 2023Article
- NMR and Metabolomics-A Roadmap for the Future.Metabolites · 2022Review
- Evaluation of the Links between Lamb Feed Efficiency and Rumen and Plasma Metabolomic Data.Metabolites · 2022Article
- Untargeted metabolomics confirms the association between plasma branched chain amino acids and residual feed intake in beef heifers.PloS one · 2022Article
- Common and diet-specific metabolic pathways underlying residual feed intake in fattening Charolais yearling bulls.Scientific reports · 2021Article
- Article
- Plasma Metabolites, Productive Performance and Rumen Volatile Fatty Acid Profiles of Northern AustralianMetabolites · 2021Article
- Exploring Biological Impacts of Prenatal Nutrition and Selection for Residual Feed Intake on Beef Cattle Using Omics Technologies: A Review.Frontiers in genetics · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Residual feed intake (RFI) is a feed efficiency measure commonly used in the livestock industry to identify animals that efficiently/inefficiently convert feed into meat or body mass. Selection for low-residual feed intake (LRFI), or feed efficient animals, is gaining popularity among beef producers due to the fact that LRFI cattle eat less and produce less methane per unit weight gain. RFI is a difficult and time-consuming measure to perform, and therefore a simple blood test that could distinguish high-RFI (HRFI) from LRFI animals (early on) would potentially benefit beef farmers in terms of optimizing production or selecting which animals to cull or breed. Using three different metabolomics platforms (nuclear magnetic resonance (NMR) spectrometry, liquid chromatography-tandem mass spectrometry (LC-MS/MS), and inductively coupled plasma mass spectrometry (ICP-MS)) we successfully identified serum biomarkers for RFI that could potentially be translated to an RFI blood test. One set of predictive RFI biomarkers included formate and leucine (best for NMR), and another set included C4 (butyrylcarnitine) and LysoPC(28:0) (best for LC-MS/MS). These serum biomarkers have high sensitivity and specificity (AUROC > 0.85), for distinguishing HRFI from LRFI animals. These results suggest that serum metabolites could be used to inexpensively predict and categorize bovine RFI values. Further validation using a larger, more diverse cohort of cattle is required to confirm these findings.
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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 OpenQuestion graph.