Evidence map›Paper›PMID 41836888›Full record

ArticleTranslational animal science2026

Plasma biomarkers for residual feed intake prediction in beef bulls.

Mauro Venturini, Daniella Heredia, Maria Camila López Duarte, Kamryn Joyce, Martin Ruiz-Moreno, Federico Tarnonsky, Wilmer Cuervo, Nadia Ashrafi, Stewart Graham, William Thatcher and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational animal science, 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. 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

15 authors.

Mauro VenturiniDepartment of Animal Sciences, North Florida Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Marianna, FL, 32446, United States.
Daniella HerediaDepartment of Animal Sciences, North Florida Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Marianna, FL, 32446, United States.ORCID https://orcid.org/0000-0003-1315-743X
Maria Camila López DuarteDepartment of Animal Sciences, North Florida Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Marianna, FL, 32446, United States.
Kamryn JoyceDepartment of Animal Sciences, North Florida Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Marianna, FL, 32446, United States.
Martin Ruiz-MorenoAgronomy Department, North Florida Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Marianna, FL, 32446, United States.
Federico TarnonskyDepartment of Animal Sciences, North Florida Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Marianna, FL, 32446, United States.ORCID https://orcid.org/0000-0002-5563-1956
Wilmer CuervoDepartment of Animal Sciences, North Florida Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Marianna, FL, 32446, United States.ORCID https://orcid.org/0000-0002-3240-0338
Nadia AshrafiMetabolomics Department, Corewell Health Research Institute, Royal Oak, MI, 48073, United States.
Stewart GrahamMetabolomics Department, Corewell Health Research Institute, Royal Oak, MI, 48073, United States.
William ThatcherDepartment of Animal Sciences, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, 32611, United States.ORCID https://orcid.org/0000-0001-6866-3431
Joao BittarCorewell Health East William Beaumont University Hospital, Royal Oak, MI, 48073, United States.
Jose DubeuxAgronomy Department, North Florida Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Marianna, FL, 32446, United States.
Ricardo ChebelCorewell Health East William Beaumont University Hospital, Royal Oak, MI, 48073, United States.
Nicolas DiLorenzoDepartment of Animal Sciences, North Florida Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Marianna, FL, 32446, United States.ORCID https://orcid.org/0000-0001-5174-3427
Angela GonellaDepartment of Animal Sciences, North Florida Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Marianna, FL, 32446, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Residual feed intake (RFI) is a measure of feed efficiency (FE) independent of growth and body weight (BW), calculated as the difference between actual and expected feed intake (FI) based on mean metabolic weight (MW) and weight gain. We hypothesized that bulls with contrasting RFI differ in plasma concentration of different compounds. RFI was evaluated in 302 bulls from 3 different ranches. After adaptation, bulls consumed the same diet for 56 d, individual FI was daily recorded, BW was measured every 2 weeks, and blood samples were taken at d 0 and 56. The bulls were ranked as low RFI (LRFI) and high RFI (HRFI), and the top and bottom 30 were used for metabolomic, hormone, and isotope analysis. Multivariate and pathway analysis were conducted with MetaboAnalyst, and univariate analysis was conducted with SAS using Mixed procedures. Additionally, for Biomarker analysis, Receiver Operating Characteristic (ROC) curves were constructed with MetaboAnalyst. Sparse Partial Least Squares-Discriminant Analysis (sPLSDA) showed partial cluster separation evidenced by acceptable R

Indexed as

ceramidescholinefeed efficiencymetabolomepathway

Identifiers

PMID41836888
PMCPMC12986784

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LicenceCC BY
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Registered trials

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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.