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Record W4396651648 · doi:10.1093/jas/skae102.146

184 The metabolism of vitamin D is modulated by vitamin C supplementation during porcine reproductive and respiratory syndrome challenge in post-weaning piglets

2024· article· en· W4396651648 on OpenAlexaff
Danyel Bueno Dalto, Frédéric Guay, Carl A. Gagnon, L. Cloutier, Marie-Pierre Létourneau-Montminy

Bibliographic record

VenueJournal of Animal Science · 2024
Typearticle
Languageen
FieldNursing
TopicVitamin C and Antioxidants Research
Canadian institutionsCentre de Développement du Porc du QuébecUniversité LavalAgriculture and Agri-Food Canada
Fundersnot available
KeywordsWeaningRespiratory systemVitaminPhysiologyMetabolismEndocrinologyInternal medicineMedicineBiologyAnimal science

Abstract

fetched live from OpenAlex

Abstract This study evaluated the impact of different dietary vitamin D sources combined or not with vitamin C on serum 25(OH)D3 concentrations and the expression of genes related to antimicrobial peptides and to the metabolism of vitamin D, vitamin C, calcium (Ca), and phosphorus (P). From weaning (d 21) until d 68, 27 piglets were fed a post-weaning diet supplemented with: 1,500 IU of vitamin D3 (CTR; n = 9); 200 IU of vitamin D3 + 2,000 IU of 25(OH)D3 (HD; n = 8); or HD + 500 mg/kg of vitamin C (HD+C; n = 10). From d 40 to 68 piglets were exposed to porcine reproductive and respiratory syndrome (PRRS) using a natural disease challenge model. At d 68, after blood collection, all piglets were euthanized for the collection of lung and kidney samples. The concentrations of serum 25(OH)D3 were determined by HPLC and the mRNA expression of genes of interest was assessed by qPCR. Data were analyzed in a one-way analysis of variance with three treatments. At d 40 (after 19 d of supplementation), serum 25(OH)D3 concentrations were greatest for HD+C (22.48 ± 1.25 ng/mL), intermediate for HD (17.43 ± 0.84 ng/mL), and least for CTR (8.54 ± 0.65 ng/mL) treatments (P < 0.01). At d 68 (after 28 d of PRRS challenge) these values were greatest for HD (14.64 ± 2.77 ng/mL), intermediate for CTR (6.22 ± 0.59 ng/mL), and least for HD+C (2.18 ± 0.13 ng/mL; P < 0.01). No treatments effect was detected on pulmonary CYP27B1, RXRα, SLC23A1, RIGI, PR-39, and pBD1. In lungs, VDR expression was least for HD+C (P ≤ 0.06) whereas MDA5 expression was greatest for HD+C (P ≤ 0.07), and SLC23A2 expression was greatest for HD (P ≤ 0.09; Table 1). No treatments effect was detected on expression of renal FGFR1, KL, RXRα, SLC23A1, SLC23A2, and TPRV5. In kidney, CYP27B1 expression was greatest for HD+C groups (P = 0.03) and CYP24A expression was greatest for HD (P = 0.01). Renal EGR1 and NPT2c expressions were greatest for CTR groups and least for HD+C (P = 0.09) whereas WNK4 expression was greatest for HD+C and least for CTR (P = 0.10). Renal VDR expression was greatest for HD groups and least for HD+C (P ≤ 0.05). In conclusion, vitamin C supplementation increased serum 25(OH)D3 concentrations in pre-challenged piglets. These concentrations were reduced by vitamin C supplementation after PRRS challenge, which may be related to a greater synthesis of the active form of vitamin D in the kidney. Little effects were detected on pulmonary antimicrobial peptides, but the gene expression related to renal P reabsorption was influenced by HD+C whereas Ca reabsorption was apparently not impacted by treatments.

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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.314
Teacher spread0.295 · 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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