Evidence map›Paper›PMID 41965866›Full record

ArticleJournal of animal science and biotechnology2026

Post-transport recovery trajectory of the canine gut microbiome and metabolome.

Yang Lyu, Chunxia Su, Keying Sun, Yuwei Wang, Lingna Zhang, Junning Pu, Caimei Wu, David Thomas, Lianqiang Che

Abstract read
In one paragraph

Article in Journal of animal science and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yang Lyu *Key Laboratory of Animal Disease-Resistance Nutrition, Ministry of Education; Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Chunxia Su *College of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, China.
Keying SunKey Laboratory of Animal Disease-Resistance Nutrition, Ministry of Education; Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Yuwei WangKey Laboratory of Animal Disease-Resistance Nutrition, Ministry of Education; Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Lingna ZhangCollege of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Junning PuKey Laboratory of Animal Disease-Resistance Nutrition, Ministry of Education; Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Caimei WuKey Laboratory of Animal Disease-Resistance Nutrition, Ministry of Education; Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
David ThomasKey Laboratory of Animal Disease-Resistance Nutrition, Ministry of Education; Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Lianqiang CheKey Laboratory of Animal Disease-Resistance Nutrition, Ministry of Education; Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, 611130, China. che.lianqiang@sicau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransportation induces a multisystem stress response in companion animals, yet the integrated recovery dynamics across physiological, microbial, and metabolic domains remain poorly characterized. This study comprehensively tracked the 7-day recovery trajectory in dogs following road transport by analyzing clinical parameters, fecal microbiome and metabolome.

resultsTime-dependent changes were observed across domains, with differing temporal patterns. Fecal consistency improved rapidly, while behavioral scores exhibited a decrease followed by stabilization. Microbial alpha diversity initially decreased, with significant community restructuring persisting throughout recovery, culminating in a new stable state distinct from the arrival (D0) state. This shift was characterized by early enrichment of Fusobacterium and Clostridium sensu stricto 1, followed by late dominance of Erysipelatoclostridium, contrasting with the initial post-transport (D0) community dominated by Prevotella 9, Lactobacillus, Phascolarctobacterium, Anaerobiospirillum, Parabacteroides, and Prevotellaceae GA6A1 group. Metabolomic profiling confirmed a sustained metabolic shift, involving pathways in the biosynthesis of steroid and unsaturated fatty acids and the metabolism of butanoate and several amino acids. Strong cross-domain correlations linked specific microbial genera and metabolites with behavioral improvement, underscoring gut-brain axis involvement.

conclusionBy D7, several measures remained distinct from the arrival (D0) state, indicating persistent multi-system differences during the first week after transport. These findings elucidate the complex, coordinated adaptation to transport stress, highlighting ongoing clinical, microbial, and metabolic differences by D7 and providing a framework for interventions aimed at enhancing welfare and resilience in transported companion animals.

Indexed as

Behavioral changesDogsGut microbiotaMetabolomicsTransportation stress

Identifiers

PMID41965866
PMCPMC13070285

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.