Unknown

Dataset Information

Dysbiosis index to evaluate the fecal microbiota in healthy cats and cats with chronic enteropathies.


ABSTRACT:

Objectives

Previous studies have identified various bacterial taxa that are altered in cats with chronic enteropathies (CE) vs healthy cats. Therefore, the aim of this study was to develop a targeted quantitative molecular method to evaluate the fecal microbiota of cats.

Methods

Fecal samples from 80 client-owned healthy cats and 68 cats with CE were retrospectively evaluated. A panel of quantitative PCR (qPCR) assays was used to measure the fecal abundance of total bacteria and seven bacterial taxa: Bacteroides, Bifidobacterium, Clostridium hiranonis, Escherichia coli, Faecalibacterium, Streptococcus and Turicibacter. The nearest centroid classifier algorithm was used to calculate a dysbiosis index (DI) based on these qPCR ab

SUBMITTER: Sung CH 

PROVIDER: S-EPMC9160961 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature