Literature DB >> 36239764

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

Lorenzo Nissen1,2, Camilla Aniballi3, Flavia Casciano1, Alberto Elmi3, Domenico Ventrella4, Augusta Zannoni3,5, Andrea Gianotti1,2, Maria Laura Bacci3,5.   

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).
© 2022. The Author(s).

Entities:  

Keywords:  Antibiotic resistance; Antibiotic transfer; In vitro gut model; Microbiota; Swine reproduction; Volatilome

Year:  2022        PMID: 36239764     DOI: 10.1007/s00253-022-12223-3

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   5.560


  46 in total

1.  Search and clustering orders of magnitude faster than BLAST.

Authors:  Robert C Edgar
Journal:  Bioinformatics       Date:  2010-08-12       Impact factor: 6.937

2.  Sodium Butyrate Attenuates Diarrhea in Weaned Piglets and Promotes Tight Junction Protein Expression in Colon in a GPR109A-Dependent Manner.

Authors:  Wenqian Feng; Yancheng Wu; Guangxin Chen; Shoupeng Fu; Bai Li; Bingxu Huang; Dali Wang; Wei Wang; Juxiong Liu
Journal:  Cell Physiol Biochem       Date:  2018-06-27

3.  Administration of Enterococcus faecium HS-08 increases intestinal acetate and induces immunoglobulin A secretion in mice.

Authors:  Saki Fujita; Yasunori Baba; Yukari Nakashima; Yasuki Higashimura; Kenji Yamamoto; Chiaki Matsuzaki; Minoru Kawagishi
Journal:  Can J Microbiol       Date:  2020-04-29       Impact factor: 2.419

Review 4.  Amoxicillin-current use in swine medicine.

Authors:  D G S Burch; D Sperling
Journal:  J Vet Pharmacol Ther       Date:  2018-01-19       Impact factor: 1.786

5.  Effect of formulations and fermentation processes on volatile organic compounds and prebiotic potential of gluten-free bread fortified by spirulina (Arthrospira platensis).

Authors:  Flavia Casciano; Lorenzo Nissen; Andrea Gianotti
Journal:  Food Funct       Date:  2021-10-19       Impact factor: 5.396

6.  Inclusion of the direct-fed microbial Clostridium butyricum in diets for weanling pigs increases growth performance and tends to increase villus height and crypt depth, but does not change intestinal microbial abundance.

Authors:  Gloria A Casas; Laia Blavi; Tzu-Wen L Cross; Anne H Lee; Kelly S Swanson; Hans H Stein
Journal:  J Anim Sci       Date:  2020-01-01       Impact factor: 3.159

7.  Antimicrobial susceptibility monitoring of respiratory tract pathogens isolated from diseased cattle and pigs across Europe: the VetPath study.

Authors:  Anno de Jong; Valérie Thomas; Shabbir Simjee; Hilde Moyaert; Farid El Garch; Kirsty Maher; Ian Morrissey; Pascal Butty; Ulrich Klein; Hervé Marion; Delphine Rigaut; Michel Vallé
Journal:  Vet Microbiol       Date:  2014-04-21       Impact factor: 3.293

8.  QIIME allows analysis of high-throughput community sequencing data.

Authors:  J Gregory Caporaso; Justin Kuczynski; Jesse Stombaugh; Kyle Bittinger; Frederic D Bushman; Elizabeth K Costello; Noah Fierer; Antonio Gonzalez Peña; Julia K Goodrich; Jeffrey I Gordon; Gavin A Huttley; Scott T Kelley; Dan Knights; Jeremy E Koenig; Ruth E Ley; Catherine A Lozupone; Daniel McDonald; Brian D Muegge; Meg Pirrung; Jens Reeder; Joel R Sevinsky; Peter J Turnbaugh; William A Walters; Jeremy Widmann; Tanya Yatsunenko; Jesse Zaneveld; Rob Knight
Journal:  Nat Methods       Date:  2010-04-11       Impact factor: 28.547

9.  16S rRNA Sequencing Analysis of the Gut Microbiota in Broiler Chickens Prophylactically Administered with Antimicrobial Agents.

Authors:  Matteo Cuccato; Selene Rubiola; Diana Giannuzzi; Elena Grego; Paola Pregel; Sara Divari; Francesca Tiziana Cannizzo
Journal:  Antibiotics (Basel)       Date:  2021-02-02

10.  Modelling the role of microbial p-cresol in colorectal genotoxicity.

Authors:  Eiman Abdulla Al Hinai; Piyarach Kullamethee; Ian R Rowland; Jonathan Swann; Gemma E Walton; Daniel M Commane
Journal:  Gut Microbes       Date:  2018-10-25
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