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Wei Gui

Researcher at Pennsylvania State University

Publications -  13
Citations -  266

Wei Gui is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Biology & Gene. The author has an hindex of 4, co-authored 7 publications receiving 110 citations. Previous affiliations of Wei Gui include Chinese Academy of Sciences.

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Journal ArticleDOI

The microbiome modulating activity of bile acids.

TL;DR: Combined flow cytometry, growth rate measurements, and NMR- and mass spectrometry-based metabolomics are combined to systematically profile the impact of bile acids on the microbiome using in vitro and in vivo models providing validation of previous observation and new insights into the interaction of biles acids with the microbiome and mechanisms related to bile acid tolerance.
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Berberine Directly Affects the Gut Microbiota to Promote Intestinal Farnesoid X Receptor Activation.

TL;DR: In vitro and in vivo data suggest that BBR directly affects bacteria to alter bile acid metabolism and activate FXR signaling, providing new insights into the link between intestinal bacteria, nuclear receptor signaling, and xenobiotics.
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A review of analytical platforms for accurate bile acid measurement

TL;DR: The detection technologies currently used for bile acid identification and quantification are reviewed and the advantages and disadvantages of these analytical techniques with respect to sensitivity, specificity, robustness, and ease of use are discussed.
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Prebiotic effects of white button mushroom (Agaricus bisporus) feeding on succinate and intestinal gluconeogenesis in C57BL/6 mice

TL;DR: WB feeding resulted in shifts in the microbiota that induced IGN and improved glucose homeostasis, and WB-fed lean mice had a small but significant improvement in glucose sensitivity.
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Metabolic impact of persistent organic pollutants on gut microbiota

TL;DR: This study systematically examined the direct effects of POPs on the microbiota using metatranscriptomics and NMR- and mass spectrometry-based metabolomics combined with flow cytometry and growth rate measurements to establish possible microbial toxicity endpoints.