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Record W4224303177 · doi:10.1101/2022.04.18.488710

Route of oxytetracycline administration differentially impacts the growth and gut microbiome of pigs co-infected with <i>Bordetella bronchiseptica</i> and <i>Pasteurella multocida</i>

2022· preprint· en· W4224303177 on OpenAlexaff
Kathy T. Mou, Julian Trachsel, Amali Stephens, Nicole Ricker, Susan L. Brockmeier, Heather K. Allen, Crystal L. Loving

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsUniversity of Guelph
FundersAgricultural Research ServiceOak Ridge Institute for Science and EducationOak Ridge Associated UniversitiesU.S. Department of AgricultureU.S. Department of Energy
KeywordsBordetella bronchisepticaPasteurella multocidaOxytetracyclineMicrobiomeAntibioticsBiologyFecesPneumoniaMicrobiologyImmunologyMedicineInternal medicineBacteria

Abstract

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Abstract Along with judicious antibiotic use, there is great interest in how the dose regimen of an antibiotic affects the animal gut microbiota. This study evaluated the impact of experimental respiratory infection alone or respiratory infection followed by oxytetracycline (oxytet) treatment on the animal’s health and its fecal microbiome. Piglets of approximately three weeks-of-age were separated into four groups ( n= 20 per group). One group remained non-infected and administered non-medicated feed and the other three groups were infected with Bordetella bronchiseptica (day 0) and Pasteurella multocida (day 4), with one group receiving non- medicated feed and the remaining two groups receiving oxytetr starting on day 7 by injection or in-feed (day 7-14). Infection with B. bronchiseptica and P. multocida negatively impacted piglet growth and induced mild pneumonia. Infection alone had minimal effect on the fecal microbiota community. When oxytet was administered either by injection or in-feed to treat the respiratory infections, both routes had minimal effect on clearing B. bronchiseptica and P. multocida in the animal. However, both routes appeared to limit lung lesion severity, and injected oxytet reduced the negative impact of infection on weight gain. Both routes had limited impact on the animal’s overall gut microbiome, including relative abundances of bacterial taxa and antibiotic resistance genes tet32, tetW, and aph2 . Overall, oxytet administered by either route did not clear the respiratory infection, but oxytet administration minimized the negative health impacts of infection and had minor impact on the pig gut microbiome. Importance Efforts to address antibiotic resistance calls for improved antibiotic stewardship, including considering antibiotic administration route. While our previous study found in-feed oxytet had greater impact on the gut microbiome of healthy piglets than injected oxytet, it remained unknown if oxytet treatments would have the same impact on the microbiota of infected piglets. We evaluated the impact of respiratory infection alone or respiratory infection followed by oxytet treatment on the animals’ health and their gut microbiome profile. Respiratory infection negatively affected piglets’ health, but infection alone had minimal impact on the gut community. When oxytet was administered either in-feed or by injection to treat the respiratory infection, neither route of administration led to the clearance of the respiratory pathogens. However, oxytet minimized the negative health impacts of infection, and had minor impact on the pig gut microbiome. These findings are informative for disease management in food animals while integrating antibiotic stewardship practices.

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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 score0.001
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 integrity0.0010.001
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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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