<abstract xmlns="http://www.w3.org/1999/xhtml">

<sec><h3>Background</h3>
<p>American ginseng has an obvious anti-fatigue effect, but the effective material basis is still unclear. The spectrum–effect relationship is a scientific method that studies the correlations between chemical spectra and pharmacological effect.</p>
</sec>
<sec><h3>Objective</h3>
<p>To reveal the real bioactive compounds in American ginseng saponin (AGS) based on a study of the underlying correlations between these compounds’ occurrence in rat serum after their intake of AGS and the anti-fatigue effect of AGS.</p>
</sec>
<sec><h3>Methods</h3>
<p>We utilized ultra-performance liquid chromatography (UPLC) with quadrupole and time-of-flight mass spectrometry (Q-TOF-MS) to analyze the extract of AGS and its constituents in serum after oral administration in rats. The anti-fatigue effect of AGS in rats was measured using the time weight-bearing swimming technique, the content of blood urea nitrogen, hepatic glycogen, and blood lactic acid. The relationship between the peak area values in fingerprints from rat serum and pharmacodynamic parameters of AGS was established using correlation analysis with partial least square regression (PLSR) method and gray correlation method.</p>
</sec>
<sec><h3>Results</h3>
<p>We detected and identified 22 compounds from extract, and 8 prototype components from serum. Through PLSR and gray correlation method, it was found that the ginsenosides Re, Rb1, and Rb2 were significantly positively related to the pharmacodynamic data.</p>
</sec>
<sec><h3>Conclusions</h3>
<p>Based on the spectrum–effect relationship, PLSR and gray correlation method can be used to screen for the anti-fatigue components available in AGS. Such an approach is of practical significance as it provides an effective means for exploring the material basis for the efficacy of American ginseng, particularly as an anti-fatigue agent.</p>
</sec>
</abstract>

Background
American ginseng has an obvious anti-fatigue effect, but the effective material basis is still unclear. The spectrum–effect relationship is a scientific method that studies the correlations between chemical spectra and pharmacological effect.

Objective
To reveal the real bioactive compounds in American ginseng saponin (AGS) based on a study of the underlying correlations between these compounds’ occurrence in rat serum after their intake of AGS and the anti-fatigue effect of AGS.

Methods
We utilized ultra-performance liquid chromatography (UPLC) with quadrupole and time-of-flight mass spectrometry (Q-TOF-MS) to analyze the extract of AGS and its constituents in serum after oral administration in rats. The anti-fatigue effect of AGS in rats was measured using the time weight-bearing swimming technique, the content of blood urea nitrogen, hepatic glycogen, and blood lactic acid. The relationship between the peak area values in fingerprints from rat serum and pharmacodynamic parameters of AGS was established using correlation analysis with partial least square regression (PLSR) method and gray correlation method.

Results
We detected and identified 22 compounds from extract, and 8 prototype components from serum. Through PLSR and gray correlation method, it was found that the ginsenosides Re, Rb1, and Rb2 were significantly positively related to the pharmacodynamic data.

Conclusions
Based on the spectrum–effect relationship, PLSR and gray correlation method can be used to screen for the anti-fatigue components available in AGS. Such an approach is of practical significance as it provides an effective means for exploring the material basis for the efficacy of American ginseng, particularly as an anti-fatigue agent.

Screening anti-fatigue components of American ginseng saponin by analyzing spectrum–effect relationship coupled with UPLC-Q-TOF-MS

Asian Biomedicine

This work is licensed under the Creative Commons Attribution 4.0 International License.

Background
American ginseng has an obvious anti-fatigue effect, but the effective material basis is still unclear. The spectrum–effect relationship is a...

Screening anti-fatigue components of American ginseng saponin by analyzing spectrum–effect relationship coupled with UPLC-Q-TOF-MS

Article Category: Original article

Online veröffentlicht: 18. Okt. 2023

Seitenbereich: 163 - 172

DOI: https://doi.org/10.2478/abm-2023-0057

Schlüsselwörter
canonical correlation analysis, fatigue, mass spectrometry, saponin, serum

© 2023 Meiyu Lin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Screening anti-fatigue components of American ginseng saponin by analyzing spectrum–effect relationship coupled with UPLC-Q-TOF-MS

Article Category: Original article

Online veröffentlicht: 18. Okt. 2023

Seitenbereich: 163 - 172

DOI: https://doi.org/10.2478/abm-2023-0057

Schlüsselwörtercanonical correlation analysis, fatigue, mass spectrometry, saponin, serum

© 2023 Meiyu Lin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
canonical correlation analysis, fatigue, mass spectrometry, saponin, serum