Phytochemical investigation on the roots of Bupleurum chinense DC. and their chemotaxonomic significance

Jia, Yunpeng; Wang, Chao; Yang, Xiaojun; Ren, Huobing

doi:10.1016/j.bse.2023.104730

Cited by 1 publication

(1 citation statement)

References 40 publications

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“…Antioxidant, antipyretic, immunoregulation, antitumor, hepatoprotection, anti-inflammatory, antiarrhythmic, antifatigue [21,22] Flavonoids (quercetin, luteolin, apigenin-8-C-β-D-glucoside), triterpenoid saponins (saikosaponins A, C, and D), phenylpropanoids (ferulic acid), coumarins [23,24] Scutellaria baicalensis Georgi Antiviral, anti-allergic, antitumor, anti-bacterial, antioxidant, anti-inflammatory, hepatoprotective, and neuroprotective activities [25,26] Flavonoids (baicalin, baicalein, wogonin, wogonoside), phenylethanoid glycosides (martynoside) [25,27] Pinellia ternata (Thunb.) Makino Sedative, hypnotic, and anticonvulsant activities [28], antitumor, antitussive, antiasthmatic, anti-gastric ulcer, and antidiarrheal effects [29] Alkaloids (L-Tyrosine, Guanosine, Adenosine), flavonoids (baicalin, Daidzein), phenylpropanoids (Coniferin), others (gingerol) [29,30] Codonopsis pilosula (Franch.)…”

Section: Plant Name Pharmacognostic Potential Chemical Compositionmentioning

confidence: 99%

Unraveling the Mechanism of Xiaochaihu Granules in Alleviating Yeast-Induced Fever Based on Network Analysis and Experimental Validation

Chen,

Wu,

et al. 2024

Pharmaceuticals

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Xiaochaihu granules (XCHG) are extensively used to treat fever. Nevertheless, the underlying mechanism remains elusive. This study aimed to explore the potential of XCHG in mitigating yeast-induced fever and the underlying metabolic pathways. The chemical composition of XCHG was ascertained using ultra-fast liquid chromatography/quadrupole-time-of-flight tandem mass spectrometry (UFLC-Q-TOF-MS/MS), followed by integrated network analysis to predict potential targets. We then conducted experimental validation using pharmacological assays and metabolomics analysis in a yeast-induced mouse fever model. The study identified 133 compounds in XCHG, resulting in the development of a comprehensive network of herb–compound–biological functional modules. Subsequently, molecular dynamic (MD) simulations confirmed the stability of the complexes, including γ-aminobutyric acid B receptor 2 (GABBR2)–saikosaponin C, prostaglandin endoperoxide synthases (PTGS2)–lobetyolin, and NF-κB inhibitor IκBα (NFKBIA)–glycyrrhizic acid. Animal experiments demonstrated that XCHG reduced yeast-induced elevation in NFKBIA’s downstream regulators [interleukin (IL)-1β and IL-8], inhibited PTGS2 activity, and consequently decreased prostaglandin E2 (PGE2) levels. XCHG also downregulated the levels of 5-hydroxytryptamine (5-HT), γ-aminobutyric acid (GABA), corticotropin releasing hormone (CRH), and adrenocorticotrophin (ACTH). These corroborated the network analysis results indicating XCHG’s effectiveness against fever in targeting NFKBIA, PTGS2, and GABBR2. The hypothalamus metabolomics analysis identified 14 distinct metabolites as potential antipyretic biomarkers of XCHG. In conclusion, our findings suggest that XCHG alleviates yeast-induced fever by regulating inflammation/immune responses, neuromodulation, and metabolism modules, providing a scientific basis for the anti-inflammatory and antipyretic properties of XCHG.

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Section: Plant Name Pharmacognostic Potential Chemical Compositionmentioning

confidence: 99%

Unraveling the Mechanism of Xiaochaihu Granules in Alleviating Yeast-Induced Fever Based on Network Analysis and Experimental Validation

Chen,

Wu,

et al. 2024

Pharmaceuticals

View full text Add to dashboard Cite

show abstract

Phytochemical investigation on the roots of Bupleurum chinense DC. and their chemotaxonomic significance

Cited by 1 publication

References 40 publications

Unraveling the Mechanism of Xiaochaihu Granules in Alleviating Yeast-Induced Fever Based on Network Analysis and Experimental Validation

Unraveling the Mechanism of Xiaochaihu Granules in Alleviating Yeast-Induced Fever Based on Network Analysis and Experimental Validation

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