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Record W2601116677 · doi:10.2527/asasmw.2017.12.145

145 Immune system stimulation increases nursery pig maintenance energy requirements

2017· article· en· W2601116677 on OpenAlexaff
Nichole F. Huntley, C. M. Nyachoti, John F. Patience

Bibliographic record

VenueJournal of Animal Science · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsImmune systemStimulationLipopolysaccharideEnergy balanceInternal medicineBiologyAnimal scienceNitrogen balanceHaptoglobinEndocrinologyChemistryImmunologyMedicineNitrogen

Abstract

fetched live from OpenAlex

Immune system activation can partition energy and nutrients away from growth, but clear relationships between immune responses and the direction and magnitude of energy partitioning responses have yet to be elucidated. The objective of this study was to determine how lipopolysaccharide (LPS) immune stimulation and b-mannanase supplementation affect nursery pig maintenance energy requirements (MEm) through changes in immune parameters, digestibility, growth performance, nitrogen, and energy balance. In a randomized complete block design, 30 pigs (10.27 ± 0.15 kg) were assigned to either the control treatment (CON; basal corn, soybean meal, and soybean hulls diet), the enzyme treatment (ENZ; basal diet + 0.056% b-mannanase), or the immune system stimulation treatment (ISS; basal diet + 0.056% b-mannanase, challenged with repeated increasing doses of Escherichia coli LPS). The experiment consisted of a 10 d adaptation, 5 d digestibility and nitrogen balance measurement, 22 h of heat production (HP) measurements following the final injection, and 12 h of fasting HP measurements in indirect calorimetry chambers. The immune challenge consisted of either LPS (ISS) or sterile saline (CON and ENZ) injections every 48 h, for a total of 4 injections on d 10, 12, 14, and 16. Blood was collected pre- and post-injection for complete blood counts with differential analysis, haptoglobin and mannan-binding lectin, 12 cytokines, and glucose and insulin concentrations. Data were analyzed using the MIXED procedure of SAS (9.4) with blood immune parameters and rectal temperature data analyzed as repeated measures. The ENZ treatment did not differ from CON in growth performance, digestibility, immune parameters, or HP variables (P 3 0.10). The ISS treatment induced fever, elevated proinflammatory cytokines (TNFa, IL-6, IL-1b), and decreased leukocyte concentrations (P < 0.05). The ISS treatment did not impact nitrogen balance or nutrient digestibility (P > 0.10), but increased total HP (CON = 278.8 vs. ISS = 333.0 kcal∙kg BW-0.60∙kg DMI−1∙d−1; P = 0.04) and estimated MEm by 23.6% (P = 0.045). This resulted in decreased lipid deposition (CON = 76.2 vs. ISS = 55.5 g/d; P = 0.047) and ADG (CON = 447.1 vs. ISS = 330.7 g/d; P = 0.01). Immune stimulation increased energy partitioning to the immune system by 23% which limited energy available for lipid deposition and weight gain. Understanding energy and nutrient partitioning in immune stressed pigs may facilitate the development of more effective feeding strategies.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.978
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.276
Teacher spread0.241 · 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 teacher head, 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

Citations10
Published2017
Admission routes1
Has abstractyes

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