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. 2023 Jul 4:2023:5697896.
doi: 10.1155/2023/5697896. eCollection 2023.

Spectrum-Effect Relationship between HPLC Fingerprint and Anti-Inflammatory and Analgesic Activities of Chloranthus fortunei (A. Gray) Solms-Laub

Affiliations

Spectrum-Effect Relationship between HPLC Fingerprint and Anti-Inflammatory and Analgesic Activities of Chloranthus fortunei (A. Gray) Solms-Laub

Junhao Shi et al. J Anal Methods Chem. .

Abstract

The predominant objective of the research is to establish the anti-inflammatory and analgesic spectrum-effect relationship of Chloranthus fortunei (A. Gray) Solms-Laub (CF), to reveal the pharmacodynamic basis of the anti-inflammatory and analgesic effects of CF. The fingerprints of ten batches of CF from various origins were established by high-performance liquid chromatography (HPLC) and evaluated for similarity, hierarchical cluster analysis (HCA), and principal component analysis (PCA). The anti-inflammatory and analgesic effects of CF were evaluated with the xylene-induced ear swelling in mice and the acetic acid torsion test, while the anti-inflammatory and analgesic spectrum-effect relationship of CF was evaluated by gray relational analysis (GRA) and partial least squares regression analysis (PLSR) to effectively elucidate the anti-inflammatory and analgesic substance basis of CF. The ten batches of CF HPLC fingerprints established in this work successfully identified a total of 13 common peaks that refer to 4 components, with peak 1 being neochlorogenic acid, peak 3 being chlorogenic acid, peak 5 being cryptochlorogenic acid, and peak 10 being rosmarinic acid. The HCA results presented that the ten batches of CF samples were clustered into 3 categories, which was consistent with the PCA results. Simultaneously, the results of the spectrum-effect relationship also indicated that neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, and rosmarinic acid were the possible anti-inflammatory and analgesic substances of CF. In order to better understand the anti-inflammatory and analgesic substance basis of CF, this experiment established the anti-inflammatory and analgesic spectrum-effect relationship of CF, which can provide a scientific foundation for the quality evaluation and further research as well as the usage of CF herbs.

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Conflict of interest statement

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Figures

Figure 1
Figure 1
HPLC fingerprints of 10 batches of CF samples.
Figure 2
Figure 2
Reference atlas from 10 CF chromatograms.
Figure 3
Figure 3
HPLC chromatograms of mixed standard solution (a) and sample (b) (1: neochlorogenic acid, 3: chlorogenic acid, 5: cryptochlorogenic acid, and 10: rosmarinic acid).
Figure 4
Figure 4
Hierarchical cluster analysis of 10 batches of CF samples.
Figure 5
Figure 5
Principal component analysis score of CF samples.
Figure 6
Figure 6
Effects of ten batches of CF aqueous extract on xylene-induced ear swelling in mice (n = 10) (compared with the model group : P < 0.05 and ∗∗: P < 0.01).
Figure 7
Figure 7
Effects of ten batches of CF aqueous extract on acetic acid-induced torsion response in mice (n = 10) (compared with the model group : P < 0.05 and ∗∗: P < 0.01).
Figure 8
Figure 8
Coefficient plot of partial regression analysis of anti-inflammatory spectrum-effect relationship of CF aqueous extract.
Figure 9
Figure 9
VIP values of common peaks and anti-inflammatory potency of CF aqueous extract.
Figure 10
Figure 10
Coefficient plot of partial regression analysis of analgesic spectrum-effect relationship of CF aqueous extract.
Figure 11
Figure 11
VIP values of common peaks and analgesic potency of CF aqueous extract.

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