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Record W4396652103 · doi:10.1093/jas/skae102.247

297 Effects of plasma zinc concentration on longissimus thoracis metabolic status of beef steers

2024· article· en· W4396652103 on OpenAlexaboutno aff
Brock M Ortner, Dathan T Smerchek, Stephanie L Hansen

Bibliographic record

VenueJournal of Animal Science · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsLongissimus ThoracisZincBeef cattleChemistryAnimal scienceFood scienceBiologyTendernessOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The objective of this study was to examine the role of Zn status on muscle glucose and other metabolites. Angus steers [n = 144; body weight (BW) = 525 ± 30 kg] with varying plasma Zn concentration and implant status served as the initial pool for this secondary experiment. Steers were assigned to one of two implant (IMP) treatments: no implant (NO) or Component TE-200 (TE-200; Elanco, Greenfield, IN) on d 0. Zinc was supplemented as ZnSO4 at 0 mg Zn/kg dry matter (DM; analyzed 54 mg Zn/kg DM), 30 mg Zn/kg DM, or 100 mg Zn/kg DM, starting 60 d before implant day. Steers were fed via GrowSafe bunks (GrowSafe Systems Ltd., Airdie, AB, Canada), and steer was experimental unit. Steers were fed in two blocks with a 14-d stagger for sample logistics. Blood and muscle biopsies of the longissimus thoracis were collected on d 40 after implant, a minimum of 2 h post-feed delivery. Plasma Zn was quantified via ICP-OES and 144 samples were stratified into quantiles by plasma Zn concentration. Samples (n = 12 low and 12 high from NO and TE-200 groups) were identified and designated as low plasma Zn (LOW, 1.1 mg Zn/L average) and high plasma Zn (HI, 1.6 mg Zn/L average) treatments (TRT). Muscle samples from these 48 steers were homogenized and derivatized for subsequent analysis via gas chromatography-mass spectrometry (GCMS) for non-targeted metabolomic analysis. Data were analyzed as a complete randomized design using the MIXED procedure of SAS 9.4 (SAS Inst. Inc., Cary, NC) with fixed effects of TRT, IMP, BLOCK, and TRT×IMP. A TRT×IMP effect was observed for muscle glycine (P = 0.02) where LOW/IMP was similar to HI/NO but had greater glycine concentrations than LOW/NO and HI/IMP. There was a tendency for a TRT×IMP (P = 0.07) effect where LOW/IMP and HI/NO tended to have greater concentrations of hydroxyisovaleric acid. Given the role of glycine in protein synthesis and hydroxyisovaleric acid in leucine metabolism these data suggest differential protein responses to implants in cattle of lesser vs. greater plasma Zn concentrations. Hydroxybutyric acid, a ketone body which can be utilized for energy, tended to be greater in muscle of steers receiving an IMP (P = 0.09). Contrary to our hypothesis that greater plasma Zn would support differential muscle glucose metabolism, no effects of plasma Zn TRT or IMP were noted for glucose, lactate, and other detected metabolites. Both LOW and HI plasma Zn concentrations were still considered adequate, and future research should explore the impact of distinctly deficient and adequate plasma Zn concentration on glucose metabolism pathways in muscle.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.275
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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