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Record W4387999775 · doi:10.1093/jas/skad341.193

290 Vitamin A and Beta-Carotene Supplementation on Growth Performance, Immune System, and Mammary Gland Development in Finishing Pigs

2023· article· en· W4387999775 on OpenAlexaboutno aff
Sarah Elefson, Laura L Greiner

Bibliographic record

VenueJournal of Animal Science · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsnot available
Fundersnot available
KeywordsRetinolVitaminBiologyImmune systemEndocrinologyInternal medicineRetinyl palmitatebeta-CaroteneAndrologyImmunologyMedicine

Abstract

fetched live from OpenAlex

Abstract A total of 224 finishing pigs were randomly assigned to split-sex pens (n = 4 pigs per pen). Each pen was assigned to one of four diets: control (7,656 IU vitamin A/kg), control diet supplemented with vitamin A (4.36 ppm; Rovimix A 1000, DSM, NJ, US), control diet supplemented with beta-carotene (163.28 ppm; Rovimix β-Carotene 10%, DSM, NJ, US), or control supplemented with oxidized beta-carotene (40 ppm; 10% active ingredient, Avivagen, Ottawa, ON, Canada). Pigs and feeder weights were recorded at the start of the study (d 0) and end of each phase (days 21, 42, and 63). A subset of gilts was randomly selected and a blood sample for vitamin A (retinol) analysis was collected on days 0, 18, 39, 60, and 63. The same gilts were vaccinated against Lawsonia intracellularis and porcine circovirus. Antibodies against each vaccination were measured on days 18, 39, and 60. At the end of the study, the subset of gilts was euthanized to obtain a liver sample for vitamin A (retinyl palmitate is converted to retinol for measurement) analysis and a jejunum sample to measure the mRNA abundance of genes involved in vitamin A metabolism (alcohol dehydrogenase class 1, lecithin retinol acyltransferase phosphatidylcholine-retinol O-acyltransferase, retinol binding protein, and beta-carotene oxygenase 1). Mammary tissue from the second and fourth right anterior mammary glands were collected to assess gland development via immunohistochemical staining for T cells, B cells, and macrophages (CD3, CD20, and IBA1, respectively) and DNA extraction. Vaccine antibodies measures, vitamin A analysis, and mammary immunohistochemical staining was completed at Iowa State University Veterinarian Diagnostic Laboratory (Ames, IA). Data were analyzed in SAS 9.4 (Statistical Analysis System, Cary, NC) via GLIMMIX procedure. Pen was the experimental unit and fixed effects were diet and time. Gilts were nested within pen when appropriate to account for more than one gilt per pen. Oxidized beta-carotene supplementation increased (P = 0.02) average daily gain across phases; however, there were no differences (P = 0.18) in the body weight of pigs. There was no effect (P > 0.05) of diet on plasma or hepatic retinol, IgG or IgM concentrations, immune cell presence, or DNA in mammary tissue. Supplemented vitamin A tended (P = 0.05) to increase the expression of retinol binding protein in the jejunum, but other genes were not affected (P > 0.05) by dietary treatments. A diet by time interaction (P = 0.04) was noted for circovirus sample-to-positive ratios and titer levels, where vitamin A supplementation had better vaccine responses at the end of the study. Thus, pigs supplemented with oxidized beta-carotene had an improved average daily gain over vitamin A supplemented pigs, but pigs supplemented with vitamin A appeared to have a more robust immune system.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

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 communication0.0000.000
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 head0.009
GPT teacher head0.240
Teacher spread0.231 · 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 designBench or experimental
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
Published2023
Admission routes1
Has abstractyes

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