Intestinal Organoids: A Tool for Modelling Diet–Microbiome–Host Interactions
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Intestinal Organoids : A Tool for Modelling Diet–Microbiome–Host Interactions. / Rubert, Josep; Schweiger, Pawel J.; Mattivi, Fulvio; Tuohy, Kieran; Jensen, Kim B.; Lunardi, Andrea.
In: Trends in Endocrinology and Metabolism, Vol. 31, No. 11, 2020, p. 848-858.Research output: Contribution to journal › Review › Research › peer-review
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TY - JOUR
T1 - Intestinal Organoids
T2 - A Tool for Modelling Diet–Microbiome–Host Interactions
AU - Rubert, Josep
AU - Schweiger, Pawel J.
AU - Mattivi, Fulvio
AU - Tuohy, Kieran
AU - Jensen, Kim B.
AU - Lunardi, Andrea
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - gut microbial metabolites
KW - intestinal organoids
KW - microbiome
KW - phytochemicals
KW - single cell analysis
U2 - 10.1016/j.tem.2020.02.004
DO - 10.1016/j.tem.2020.02.004
M3 - Review
C2 - 33086077
AN - SCOPUS:85081277153
VL - 31
SP - 848
EP - 858
JO - Trends in Endocrinology and Metabolism
JF - Trends in Endocrinology and Metabolism
SN - 1043-2760
IS - 11
ER -
ID: 241942710