| Literature DB >> 31760871 |
Haixia Yang1, Katherine Z Sanidad1,2, Weicang Wang1, Minhao Xie1,3, Min Gu1, Xiaoqiong Cao1, Hang Xiao1,2, Guodong Zhang1,2.
Abstract
Triclocarban (TCC) is a widely used antimicrobial ingredient in consumer products and is a ubiquitous contaminant in the environment. In 2016, the FDA removed TCC from over-the-counter handwashing products, but this compound is still approved for use in many other personal care products. A better understanding of its impact on human health could lead to significant impact for public health and regulatory policies. Here we show that exposure to low-dose TCC exaggerated the severity of colitis and exacerbated the development of colitis-associated colon tumorigenesis, via gut microbiota-dependent mechanisms. Exposure to TCC increased dextran sodium sulfate (DSS)- and interleukin 10 (IL-10) knockout-induced colitis, and exaggerated azoxymethane (AOM)/DSS-induced colon tumorigenesis in mice. Regarding the mechanisms, TCC exposure reduced the diversity and altered the composition of gut microbiota and failed to promote DSS-induced colitis in mice lacking the microbiota, supporting that the presence of the microbiota is critical for the pro-colitis effects of TCC. Together, these results support TCC could be a novel risk factor for colitis and colitis-associated colon cancer, and further regulatory policies on this compound could be needed.Entities:
Keywords: Gut microbiota; colon cancer; environmental chemical; inflammatory bowel disease; triclocarban
Year: 2019 PMID: 31760871 PMCID: PMC7524142 DOI: 10.1080/19490976.2019.1690364
Source DB: PubMed Journal: Gut Microbes ISSN: 1949-0976
Figure 1.TCC increased DSS-induced colonic inflammation in C57BL/6 mice. (a) Bodyweight. Left: time-course of body weight; Right: quantification of mouse body weight on the final day. (b) Colon length. (c) Concentration of IL-6 in plasma. (d) Gene expression of Il-6 in colon. (e) Quantification of immune cell infiltration into the colon by flow cytometry analysis. (f) H&E staining of the colon. The data are mean ± SEM, * P < .05, ** P < .01, n = 8 mice per group.
Figure 2.TCC increased the colonic inflammation in Il-10−/- mice. (a) Colon length. (b) Gene expression of Il-6 in colon. (c) Quantification of immune cell infiltration into the colon by flow cytometry analysis. (d) H&E staining of the colon. The data are mean ± SEM, * P < .05, ** P < .01, n = 8 mice per group.
Figure 3.TCC increased AOM/DSS-induced colon cancer in C57BL/6 mice. (a) Survival curve. (b) Quantification of colon tumors in mice. (c) IHC staining of PCNA and β-catenin in colon tumors from the mice treated with vehicle or TCC. (d) Gene expressions in colon tumors. (e) Quantification of immune cell infiltration into colon tumors by flow cytometry analysis. The data are mean ± SEM, * P < .05, ** P < .01, *** P < .001, n = 16 mice per group.
Figure 4.TCC reduced the diversity and altered the composition of gut microbiota in C57BL/6 mice. (a) α-diversity of the gut microbiota. (b) β-diversity of the gut microbiota, calculated by Principle Coordinate Analysis (PCoA) based on weighted UniFrac distance. (c) Relative abundance of gut bacteria at phylum levels. (d) Relative abundance of gut bacteria at genus levels. The data are mean ± SEM, *** P < .01, n = 16 mice per group.
Figure 5.TCC increased DSS-induced colitis via gut microbiota-dependent mechanisms. (a) Scheme of animal experiment. (b) Colon length. (c) FACS quantification of immune cell infiltration into colon. (d) H&E staining of colon. The data are mean ± SEM. The statistical significance (P-value) of the interaction effect between TCC treatment (TCC versus vehicle control in the diet) and antibiotic treatment (antibiotic cocktail versus no antibiotic cocktail in the drinking water) on colitis was determined by two-way ANOVA analysis. * P < .05, ** P < .01, *** P < .001, n = 8–10 mice per group.