Evidence map›Paper›PMID 36239764›Full record

ArticleApplied microbiology and biotechnology2022

Maternal amoxicillin affects piglets colon microbiota: microbial ecology and metabolomics in a gut model.

Lorenzo Nissen, Camilla Aniballi, Flavia Casciano, Alberto Elmi, Domenico Ventrella, Augusta Zannoni, Andrea Gianotti, Maria Laura Bacci

Open access · hybridAbstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
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

8 authors at 1 institution in 1 country.

Lorenzo Nissen *Department of Agricultural and Food Sciences (DISTAL), Alma Mater Studiorum University of Bologna: Universita Di Bologna, P.za Goidanich 60, 47521, Cesena, Italy.
Camilla Aniballi *Department of Veterinary Medical Sciences, Alma Mater Studiorum University of Bologna: Universita Di Bologna, via Tolara di Sopra 50, 40064, Ozzano dell'Emilia (BO), Italy.
Flavia CascianoDepartment of Agricultural and Food Sciences (DISTAL), Alma Mater Studiorum University of Bologna: Universita Di Bologna, P.za Goidanich 60, 47521, Cesena, Italy.
Alberto ElmiDepartment of Veterinary Medical Sciences, Alma Mater Studiorum University of Bologna: Universita Di Bologna, via Tolara di Sopra 50, 40064, Ozzano dell'Emilia (BO), Italy.
Domenico VentrellaDepartment of Veterinary Medical Sciences, Alma Mater Studiorum University of Bologna: Universita Di Bologna, via Tolara di Sopra 50, 40064, Ozzano dell'Emilia (BO), Italy. domenico.ventrella2@unibo.it.ORCID http://orcid.org/0000-0002-9330-979X
Augusta ZannoniDepartment of Veterinary Medical Sciences, Alma Mater Studiorum University of Bologna: Universita Di Bologna, via Tolara di Sopra 50, 40064, Ozzano dell'Emilia (BO), Italy.
Andrea GianottiDepartment of Agricultural and Food Sciences (DISTAL), Alma Mater Studiorum University of Bologna: Universita Di Bologna, P.za Goidanich 60, 47521, Cesena, Italy.
Maria Laura BacciDepartment of Veterinary Medical Sciences, Alma Mater Studiorum University of Bologna: Universita Di Bologna, via Tolara di Sopra 50, 40064, Ozzano dell'Emilia (BO), Italy.
University of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The first weeks of life represent a crucial stage for microbial colonization of the piglets' gastrointestinal tract. Newborns' microbiota is unstable and easily subject to changes under stimuli or insults. Nonetheless, the administration of antibiotics to the sow is still considered as common practice in intensive farming for pathological conditions in the postpartum. Therefore, transfer of antibiotic residues through milk may occurs, affecting the piglets' colon microbiota. In this study, we aimed to extend the knowledge on antibiotic transfer through milk, employing an in vitro dedicated piglet colon model (MICODE-Multi Unit In vitro Colon Model). The authors' focus was set on the shifts of the piglets' microbiota composition microbiomics (16S r-DNA MiSeq and qPCR-quantitative polymerase chain reaction) and on the production of microbial metabolites (SPME GC/MS-solid phase micro-extraction gas chromatography/mass spectrometry) in response to milk with different concentrations of amoxicillin. The results showed an effective influence of amoxicillin in piglets' microbiota and metabolites production; however, without altering the overall biodiversity. The scenario is that of a limitation of pathogens and opportunistic taxa, e.g., Staphylococcaceae and Enterobacteriaceae, but also a limitation of commensal dominant Lactobacillaceae, a reduction in commensal Ruminococcaceae and a depletion in beneficial Bifidobactericeae. Lastly, an incremental growth of resistant species, such as Enterococcaceae or Clostridiaceae, was observed. To the authors' knowledge, this study is the first evaluating the impact of antibiotic residues towards the piglets' colon microbiota in an in vitro model, opening the way to include such approach in a pipeline of experiments where a reduced number of animals for testing is employed. KEY POINTS: • Piglet colon model to study antibiotic transfer through milk. • MICODE resulted a robust and versatile in vitro gut model. • Towards the "3Rs" Principles to replace, reduce and refine the use of animals used for scientific purposes (Directive 2010/63/UE).

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAmoxicillinAnimalsAnti-Bacterial AgentsColonFemaleMetabolomicsSwineAmoxicillinAnti-Bacterial AgentsAntibiotic resistanceAntibiotic transferIn vitro gut modelMicrobiotaSwine reproductionVolatilome

Identifiers

PMID36239764
PMCPMC9666337
OpenAlexW4306165602

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.