Dietary patterns, microbiome dysbiosis, and gut microbial metabolites (GMMs) have a pivotal role in the homeostasis of intestinal epithelial cells and in disease progression, such as that of colorectal cancer (CRC). Although GMMs and microorganisms have crucial roles in many biological activities, models for deciphering diet–microbiome–host relationships are largely limited to animal models. Thus, intestinal organoids (IOs) have provided unprecedented opportunities for the generation of in vitro platforms with the sufficient level of complexity to model physiological and pathological diet–microbiome–host conditions. Overall, IO responses to GMM metabolites and microorganisms can provide new insights into the mechanisms by which those agents may prevent or trigger diseases, significantly extending our knowledge of diet–microbiome–host interactions.
Rubert, J.; Schweiger, P.J.; Mattivi, F.; Tuohy, K.; Jensen, K.B.; Lunardi, A. (2020). Intestinal organoids: a tool for modelling diet–microbiome–host interactions. TRENDS IN ENDOCRINOLOGY AND METABOLISM, 31 (11): 848-858. doi: 10.1016/j.tem.2020.02.004 handle: http://hdl.handle.net/10449/63280
Intestinal organoids: a tool for modelling diet–microbiome–host interactions
Mattivi, Fulvio;Tuohy, Kieran;
2020-01-01
Abstract
Dietary patterns, microbiome dysbiosis, and gut microbial metabolites (GMMs) have a pivotal role in the homeostasis of intestinal epithelial cells and in disease progression, such as that of colorectal cancer (CRC). Although GMMs and microorganisms have crucial roles in many biological activities, models for deciphering diet–microbiome–host relationships are largely limited to animal models. Thus, intestinal organoids (IOs) have provided unprecedented opportunities for the generation of in vitro platforms with the sufficient level of complexity to model physiological and pathological diet–microbiome–host conditions. Overall, IO responses to GMM metabolites and microorganisms can provide new insights into the mechanisms by which those agents may prevent or trigger diseases, significantly extending our knowledge of diet–microbiome–host interactions.File | Dimensione | Formato | |
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