Steroids of formosan Ganoderma tsugae

Lin, Chun‐Nan; Fann, Yih-Fen; Chung, Mei‐Ing

doi:10.1016/s0031-9422(97)00387-7

Cited by 30 publications

(3 citation statements)

References 10 publications

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“…Species such as G. lucidum attract much attention because it is a well-known source of various therapeutic agents [5,6]. Previous phytochemical investigations of Ganoderma genus afforded a series of triterpenoids and steroids [7,8,9,10,11,12,13]. These principles displayed significant cytotoxicity and anti-inflammatory bioactivity [14,15].…”

Section: Introductionmentioning

confidence: 99%

Triterpenoids and Steroids from Ganoderma mastoporum and Their Inhibitory Effects on Superoxide Anion Generation and Elastase Release

et al. 2013

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Abstract:The methanol extracts of the fruiting bodies of Ganoderma mastoporum collected in Vietnam was purified to afford eight compounds, including three triterpenoids and five steroids. The purified compounds were examined for their inhibitory effects against superoxide anion generation and elastase release. Among the tested compounds, ergosta-4,6,8(14),22-tetraen-3-one (3) exhibited the most significant inhibition towards superoxide anion generation and elastase release with IC 50 values of 2.30 ± 0.38 and 1.94 ± 0.50 µg/mL, respectively.

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Section: Introductionmentioning

confidence: 99%

Triterpenoids and Steroids from Ganoderma mastoporum and Their Inhibitory Effects on Superoxide Anion Generation and Elastase Release

et al. 2013

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“…The 13 C-NMR (CDCl 3 , 400 MHz) results were: δ 35.2 (C-1), 22.2 (C-2), 82.1 (C-3), 38.4 (C-4), 51.4 (C-5), 17.8 (C-6), 27.5 (C-7), 135.1 (C-8), 134.8 (C-9), 37.5 (C-10), 20.8 (C-11), 28.4 (C-12), 44.8 (C-13), 50.2 (C-14), 30.2 (C-15), 27.9 (C-16), 48.2 (C-17), 16.4 (C-18), 17.5 (C-19), 47.6 (C-20), 84.8 (C-21), 33.5 (C-22), 26.3 (C-23), 132.4 (C-24), 133.1 (C-25), 20.8 (C-26), 18.6 (C-27), 22.4 (C-28), 20.4 (C-29), 25.1 (C-30), 171.2 (C-31), and 19.1 (C-32). The compound was identified as 3β-acetoxy-5α-lanosta-8,24-dien-21-acid (as shown in Figure 1A) according to the references (Lin et al, 1997; Ko et al, 2008).…”

Section: Resultsmentioning

confidence: 99%

Integrating Strategies of Herbal Metabolomics, Network Pharmacology, and Experiment Validation to Investigate Frankincense Processing Effects

et al. 2018

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In-depth research on processing can promote the globalization of processed herbs. The purpose of this study is to propose an improved strategy for processing effect investigation. Frankincense and processed frankincense were used as research subjects. First, high-speed countercurrent chromatography (HSCCC) and preparation high-performance liquid chromatography (PHPLC) techniques were used for major compounds isolation and minor compounds concentration. Processed frankincense was subjected to two stepwise solvent systems, namely, n-hexane:ethanol:water (6:5:1) and n-hexane:methyl-acetate:acetonitrile:water (4:4:3:4), to yield 12 fractions, and 18 compounds were further separated. Second, a comprehensive metabolomic analysis conducted by ultrahigh-performance liquid-chromatography/electrospray-ionization mass spectrometry (UHPLC-Qtof-MS) coupled with multivariate statistics was performed to fully characterize the chemical components and discover the potential biomarkers between frankincense and processed frankincense. In total, 81 metabolites, including the 18 separated compounds, were selected as potential biomarkers between frankincense and processed frankincense among 153 detected compounds for their VIP values of greater than one. The tirucallane-type compounds and components with 9,11-dehydro structures clearly occurred at high levels in the processed frankincense, while lupine-type compounds and those with 11-keto structures were significantly higher in frankincense. Then, a network pharmacology model was constructed to decipher the potential mechanisms of processing. Intestinal absorption properties prediction indicated the possibility of processing-related absorption enhancement. A systematic analysis of the constructed networks showed that the C-T network was constructed with 18 potential biomarkers and 69 targets. TNF and IL-1β were among the top-ranked and were linked by 8 and 7 pathways, which were mainly involved in inflammation. The arachidonic acid metabolism pathway exhibited the highest number of target connections. Finally, the prediction was validated experimentally by an intestinal permeability and efficacy assay. The experiments provided convincing evidence that processed frankincense harbored stronger inhibition effects toward TNF-α-, IL-1β- and arachidonic acid-induced platelet aggregation. The processing procedure leads to changes of the chemical metabolites, which triggers the enhancement of absorption and cure efficiency. The global change of the metabolites, absorption and pharmacological effects of processing were depicted in a systematic manner.

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“…It is related to the arrest G1 phase of cancer cells, [6] the reduction glucose levels in blood, [7] the antagonism herpes simplex virus, [8] and the adjustment of immunity. [9] Those fungi are now universally used in food, health protection, and pharmaceutical industries. [10] Ganodermataceae mushrooms are also used as important ingredients in cosmetic products [11] and the new uses have been explored constantly.…”

Section: Introductionmentioning

confidence: 99%

A new analytical method for discrimination of species in Ganodermataceae mushrooms

Liu

et al. 2020

International Journal of Food Properties

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A new analytical approach for the species discrimination of Ganodermataceae mushroom was developed by using data fusion strategy based on attenuated total reflectance Fourier transform infrared ATR-FTIR and ultraviolet-visible (UV-vis) spectroscopy, and applying the chemometric tools. The optimization for determination of UV-vis spectra was described. The multivariate discrimination ways used were t-distributed Stochastic Neighbor Embedding (t-SNE), Partial Least Squares-Discriminant Analysis (PLS-DA), and Random Forest (RF). The data fusion levels used were low-and mid-data fusion. The performance of the model was assessed by several parameters as root mean square error of estimation (RMSEE), root mean square error of cross validation (RMSECV), R 2 Y (cum) , and Q 2 (cum) . The discrimination results were evaluated by accuracy from the test set, which was composed of samples with unknown origin. The new proposed method took shorter time and lower cost, and the results showed good discrimination power among various species. PLS-DA and RF models based on mid-level fusion data were able to classify mushrooms according to real origin, confirming the potential of data fusion and chemometrics in mushrooms species discrimination.

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Steroids of formosan Ganoderma tsugae

Cited by 30 publications

References 10 publications

Triterpenoids and Steroids from Ganoderma mastoporum and Their Inhibitory Effects on Superoxide Anion Generation and Elastase Release

Triterpenoids and Steroids from Ganoderma mastoporum and Their Inhibitory Effects on Superoxide Anion Generation and Elastase Release

Integrating Strategies of Herbal Metabolomics, Network Pharmacology, and Experiment Validation to Investigate Frankincense Processing Effects

A new analytical method for discrimination of species in Ganodermataceae mushrooms

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