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Systematic review and meta-analysis of the effect of fecal microbiota transplantation on behavior in animals.
Keubler, Lydia M; Talbot, Steven R; Bleich, André; Boyle, Erin C.
Afiliação
  • Keubler LM; Institute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany.
  • Talbot SR; Institute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany.
  • Bleich A; Institute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany. Electronic address: bleich.andre@mh-hannover.de.
  • Boyle EC; Institute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany.
Neurosci Biobehav Rev ; 153: 105316, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37442498
ABSTRACT
The bi-directional interaction between gut microbiota and the central nervous system has been coined the gut microbiota-brain axis. Fecal microbiota transplantation (FMT) is the administration of a solution of fecal matter from a donor into the intestinal tract of a recipient. Preclinical FMT experiments are essential to prove causality in the context of the gut microbiota-brain axis. In this systematic review, we assess the body of evidence related to the ability of FMT to modulate an animal's behavior. Accordingly, we provide a detailed summary of the use of FMT in behavior-related animal studies, an extensive risk of bias analysis, and a meta-analysis of the overall effect of FMT on behavioral outcome measures in 64 studies, representing 4889 animals. The resulting meta-analysis revealed FMT was effective at changing animal behavior, thereby substantiating evidence for the gut microbiota-brain axis. However, our study also highlights an urgent need for methodological safeguards within this research field to reduce the risk of bias and improve the internal validity of future studies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2023 Tipo de documento: Article