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ARS Home » Northeast Area » Wyndmoor, Pennsylvania » Eastern Regional Research Center » Dairy and Functional Foods Research » Research » Research Project #438812

Research Project: Recovery from Triclosan-Induced Colonic Inflammation Using a Mouse Model

Location: Dairy and Functional Foods Research

Project Number: 8072-41000-108-08-S
Project Type: Non-Assistance Cooperative Agreement

Start Date: Aug 15, 2020
End Date: Aug 14, 2021

This study aims to determine if recovery from triclosan (TCS)-induced colonic inflammation in a mouse model occurs by stopping use of the chemical. It has been demonstrated that TCS, an antimicrobial ingredient for use in consumer products, has a strong effect on colonic inflammation and associated colon tumorigenesis in mice. It has also been demonstrated that the dysbiosis caused by high-dose TCS induction was reversed within a few weeks of no TCS feeding in an in vitro experiment that excluded interference from the mammalian milieu. Here, we seek to study the broad effects of TCS on the gut microbiota and gastrointestinal health in a mouse model.

Mouse strain C57BL/6J will be used in the designed experiment. After receiving, the mice will be maintained for one week under standard conditions and fed with a TCS-free diet. After quarantine, the breeders will be treated with a diet containing 80 ppm TCS for 3 weeks, then a TCS-free diet for an additional 3 weeks. At the end of weeks 4 and 7 (including the week of acclimating), the breeders will be paired, resulting in the addition of 2 generations of mice. The mice bred for this experiment will be maintained under TCS free conditions. At the ends of weeks 4 and 7 (including the week of acclimating), and week 6 of each new generation. The following analyses will be carried on the collected samples: (1) Chemical analysis of TCS and TCS glucuronide in GIT, plasma and fecal samples; (2) Spleen weight, colonic length, IL-6 in plasma, gene expression of IL-6 in colon, histological analysis and crypt damage estimation of colonic tissues; and (3) Microbiota metagenomic analysis, using 16S rRNA technology and bioinformatics analysis of the sequencing results.