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Xinyi Gu
Researcher at Shanghai University
Publications - 18
Citations - 184
Xinyi Gu is an academic researcher from Shanghai University. The author has contributed to research in topics: Medicine & Gut flora. The author has an hindex of 4, co-authored 7 publications receiving 47 citations.
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Modulation of gut microbiota by chlorogenic acid pretreatment on rats with adrenocorticotropic hormone induced depression-like behavior.
TL;DR: In this paper, the effects of chlorogenic acid (CGA) on the gut microbiota in a rat model of major depressive disorder were investigated, and the results indicated that CGA could modify the gut microbial community structure, which may contribute to its antidepressant effects.
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Metabolomic signatures and microbial community profiling of depressive rat model induced by adrenocorticotrophic hormone.
TL;DR: Depression rat model induced by ACTH is associated with disturbance of pyruvate metabolism, ascorbate and aldarate metabolism, inositol phosphate metabolism, glycine, serine and threonine metabolism, and glycolysis or gluconeogenesis, as well as changes in microbial community structure.
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Gut Microbiota: A Pivotal Hub for Polyphenols as Antidepressants
TL;DR: The review illustrated the potential role of gut microbiota in the processes of polyphenols or their metabolites acting as antidepressants, and further envisioned the gut microbiota as the therapeutic targets for depression.
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Hepatoprotection and hepatotoxicity of Chinese herb Rhubarb (Dahuang): How to properly control the "General (Jiang Jun)" in Chinese medical herb.
TL;DR: In this review, the mechanisms of Rhubarb how to play a role in hepatoprotection and why it causes hepatotoxic potential will be elaborated in detail and critically and some positive clinical guidances are also advised on how to reduce its hepatotoxicity in medical treatment.
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Energy metabolism in major depressive disorder: Recent advances from omics technologies and imaging.
TL;DR: In this article, the authors focus on the "omics" technologies such as genomics, proteomics, transcriptomics and metabolomics, as well as imaging, and the progress on energy metabolism of MDD.