2022
DOI: 10.1053/j.gastro.2022.07.051
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Histone Deacetylase Inhibition by Gut Microbe-Generated Short-Chain Fatty Acids Entrains Intestinal Epithelial Circadian Rhythms

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Cited by 42 publications
(20 citation statements)
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“…Based on samples from a healthy human cecum, Liu et al further identified that gut microbial methionine impacts circadian clock gene expression and the reactive oxygen species level in the host gastrointestinal tract [18]. Moreover, Fawad et al reported that gut microbe-generated short-chain fatty acids entrained intestinal epithelial circadian rhythms by inhibiting histone deacetylase [67]. Collection of intestinal fluid with a sterile syringe is recommended.…”
Section: Discovery In Host-microbiota Interactionmentioning
confidence: 99%
“…Based on samples from a healthy human cecum, Liu et al further identified that gut microbial methionine impacts circadian clock gene expression and the reactive oxygen species level in the host gastrointestinal tract [18]. Moreover, Fawad et al reported that gut microbe-generated short-chain fatty acids entrained intestinal epithelial circadian rhythms by inhibiting histone deacetylase [67]. Collection of intestinal fluid with a sterile syringe is recommended.…”
Section: Discovery In Host-microbiota Interactionmentioning
confidence: 99%
“…7 To date, various methods have been used for constructing classification models in multiclass metabolomics, such as random forests. 8,9 Due to the differences in the principles of these classification methods, conflicting outcomes are observed when different classification methods are applied, even for the same data set. 10,11 Therefore, it is highly necessary to apply an appropriate classification method with superior performance for a specific data set.…”
Section: ■ Introductionmentioning
confidence: 99%
“…To date, various methods have been used for constructing classification models in multiclass metabolomics, such as random forests. , Due to the differences in the principles of these classification methods, conflicting outcomes are observed when different classification methods are applied, even for the same data set. , Therefore, it is highly necessary to apply an appropriate classification method with superior performance for a specific data set. To select the most suitable method, the performance of all classification methods must be assessed using well-established criteria. , Apart from classification methods, methods of identifying metabolic markers are also of importance for the performance of the classification model in multiclass metabolomics. , …”
Section: Introductionmentioning
confidence: 99%
“…Unlike most HDACi, NaBu can be well-tolerated (7) and can be generated in the gut by microbes (8), maintaining gut health and protecting the host from disease (9)(10)(11). Similar to other HDACi, NaBu inhibits the proliferation of transformed cells by reducing the expression of cyclins, key regulators of the cell cycle (12), and arresting cells in the G0/G1 phase (13).…”
Section: Introductionmentioning
confidence: 99%