Unknown

Dataset Information

0

Methods to mitigate Escherichia coli blooms in human ex vivo colon model experiments using the high throughput micro-Matrix bioreactor fermentation system.


ABSTRACT: Ex vivo colon model experiments are frequently employed as a means to assess the gut microbiome modulating potential of different foods, food ingredients and dietary supplements. A number of useful models already exist; however, they tend to be relatively low in terms of throughput (3-4 samples per experiment) with a long experiment duration of one to a number of weeks. Therefore, a need for a high-throughput system with a short duration time is required to enable screening of large numbers of samples. Therefore, we report here on the development of a system based on the Applikon micro-Matrix bioreactor which has the capacity to run 24 samples with an experiment duration of 48 h. However, Escherichia coli blooms are a common problem encountered in this model. Here, we describe the factors that contribute to such blooms and provide approaches to address them, providing:•Step by step optimisation of processes involved in conducting ex vivo distal colon experiments using the micro-Matrix bioreactor fermentation platform•Recommended steps for users on how to attenuate E. coli blooms in such ex vivo colon model experiments.

SUBMITTER: Mathur H 

PROVIDER: S-EPMC10577065 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Methods to mitigate <i>Escherichia coli</i> blooms in human <i>ex vivo</i> colon model experiments using the high throughput micro-Matrix bioreactor fermentation system.

Mathur Harsh H   Mechoud Monica A MA   Matthews Chloe C   Lordan Cathy C   FitzGerald Jamie A JA   Beresford Tom T   Cotter Paul D PD  

MethodsX 20231006


<i>Ex vivo</i> colon model experiments are frequently employed as a means to assess the gut microbiome modulating potential of different foods, food ingredients and dietary supplements. A number of useful models already exist; however, they tend to be relatively low in terms of throughput (3-4 samples per experiment) with a long experiment duration of one to a number of weeks. Therefore, a need for a high-throughput system with a short duration time is required to enable screening of large numbe  ...[more]

Similar Datasets

| PRJEB64001 | ENA
| PRJEB64237 | ENA
| S-EPMC6096000 | biostudies-literature
| S-EPMC5821576 | biostudies-literature
| S-EPMC10318521 | biostudies-literature
| S-EPMC11604572 | biostudies-literature
| S-EPMC7311545 | biostudies-literature
| S-EPMC8443603 | biostudies-literature
| S-EPMC3476334 | biostudies-literature
| S-EPMC4136852 | biostudies-literature