Evidence map›Paper›PMID 34997076›Full record

ArticleScientific reports2022

Non-invasive metabolomics biomarkers of production efficiency and beef carcass quality traits.

Virginia M Artegoitia, J W Newman, A P Foote, S D Shackelford, D A King, T L Wheeler, R M Lewis, H C Freetly

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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

8 authors.

Virginia M ArtegoitiaUSDA, ARS, Western Human Nutrition Research Center, 430 West Health Sciences Drive, Davis, CA, 95616, USA. virginia.artegoitia@usda.gov.
J W NewmanUSDA, ARS, Western Human Nutrition Research Center, 430 West Health Sciences Drive, Davis, CA, 95616, USA.
A P FooteUSDA, ARS, Meat Animal Research Center, Clay Center, NE, 68933, USA.
S D ShackelfordUSDA, ARS, Meat Animal Research Center, Clay Center, NE, 68933, USA.
D A KingUSDA, ARS, Meat Animal Research Center, Clay Center, NE, 68933, USA.
T L WheelerUSDA, ARS, Meat Animal Research Center, Clay Center, NE, 68933, USA.
R M LewisAnimal Science, University Nebraska, Lincoln, NE, 68583, USA.
H C FreetlyUSDA, ARS, Meat Animal Research Center, Clay Center, NE, 68933, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inter-cattle growth variations stem from the interaction of many metabolic processes making animal selection difficult. We hypothesized that growth could be predicted using metabolomics. Urinary biomarkers of cattle feed efficiency were explored using mass spectrometry-based untargeted and targeted metabolomics. Feed intake and weight-gain was measured in steers (n = 75) on forage-based growing rations (stage-1, 84 days) followed by high-concentrate finishing rations (stage-2, 84 days). Urine from days 0, 21, 42, 63, and 83 in each stage were analyzed from steers with the greater (n = 14) and least (n = 14) average-daily-gain (ADG) and comparable dry-matter-intake (DMI; within 0.32 SD of the mean). Steers were slaughtered after stage-2. Adjusted fat-thickness and carcass-yield-grade increased in greater-ADG-cattle selected in stage-1, but carcass traits did not differ between ADG-selected in stage-2. Overall 85 untargeted metabolites segregated greater- and least-ADG animals, with overlap across diets (both stages) and breed type, despite sampling time effects. Total 18-bile acids (BAs) and 5-steroids were quantified and associated with performance and carcass quality across ADG-classification depending on the stage. Stepwise logistic regression of urinary BA and steroids had > 90% accuracy identifying efficient-ADG-steers. Urine metabolomics provides new insight into the physiological mechanisms and potential biomarkers for feed efficiency.

Indexed as

Animal FeedAnimalsBile Acids and SaltsBiomarkersBody WeightCattleEatingMaleMeatMetabolomicsSteroidsBile Acids and SaltsBiomarkersSteroids

Identifiers

PMID34997076
PMCPMC8742028

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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.