ArticleAnimal microbiome2025
Route of fecal microbiota transplantation delivery determined the dynamics and predictability of donor microbe colonization.
Article in Animal microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundFecal microbiota transplantation (FMT) and the colonization of delivered donor microbes has been reported to improve the negative effects (decrease in body weight, diarrhea, and gut barrier disruption) associated with weaning in pigs. However, delivery of FMT in pigs is still invasive and predicting the colonization or rejection of donor microbes remains challenging. Therefore, this study developed a non-invasive in-feed delivery of FMT and evaluated the effect of FMT mode of delivery on growth performance, gut physiology, microbiota dynamics, and predictability of colonization or rejection of donor microbes in recipient pigs. Forty weaned piglets (10 per group) were administered FMT through one of three routes; oral, rectal, or amended in-feed. The control group was orally administered sterile saline to simulate handling stress.
resultsPigs in the FMT groups had higher average daily weight gain (ADG) from day 0–2 post-weaning. An increase in community diversity and a shift in the recipient community towards the donor in all FMT groups was observed on day 5. The oral group had the highest colonization (15.12%) and the lowest rejection (19.34%) rates, while colonization was 13.82% and 11.78% in rectal and in-feed group respectively. On day 4, colon crypt depth was increased in all FMT groups but an increase in villus length was only observed in the in-feed group. Colonization and rejection of donor microbes in the recipient animals could be predicted in all routes of administration, but the efficacy of prediction was influenced by the route of delivery. In-feed FMT had the lowest colonization prediction which may have been influenced by the need for voluntary consumption of fecal materials in the in-feed group. The ten most abundant genera (Prevotella, Alloprevotella, Phascolarctobacterium, Lactobacillus, Cloacibacillus, Bacteroides, Lachnoclostridium, Escherichia-Shigella, unclassified Lachnospiraceae sequences, and archaea Methanobrevibacter) in the recipient prior to FMT (background community) was the most important feature in predicting colonization for all routes of fecal microbiota transplant.
conclusionFMT administered as a lyophilized feed additive shows promise in altering microbiome community structure. While colonization and rejection of donor microbes within the recipient community are predictable, the efficacy of these predictions varies with the route of transplant. This suggests that different prediction models are necessary for each delivery mode of FMT in pigs.
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.