Screening of Anti-Inflammatory Components of Qin Jin Hua Tan Tang by a Multivariate Statistical Analysis Approach for Spectrum-Effect Relationships

Abstract

Qing Jin Hua Tan Tang (QJHTT) exerts therapeutic effects in patients with chronic obstructive pulmonary disease (COPD) by alleviating inflammation. However, the anti-inflammatory components of QJHTT have not yet been reported. Our study aimed to screen the active anti-inflammatory components of QJHTT using a multivariate statistical analysis approach for spectrum-effect relationships. Different polar fractions of QJHTT were prepared using ethanol, ethyl acetate, and n-butanol to analyze the phytochemical components. Phytochemical fingerprints were generated using ultrahigh-performance liquid chromatography. In total, 24 peaks were observed in ten batches of QJHTT extracts. The anti-inflammatory activity was evaluated using a xylene-induced ear-swelling mouse model. Additionally, the spectrum-effect relationship between the relative areas of the 24 peaks and pharmacological activity was investigated using multivariate statistical analysis. The potential anti-inflammatory ingredients obtained from the screening (multivariate statistical analysis) will be validated for their anti-inflammatory effects and mechanisms utilizing a lipopolysaccharide-induced macrophage inflammation model. QJHTT ethanol extract 1 exhibited good anti-inflammatory activity. Peaks 11, 12, 13, 14, and 16, which were closely correlated with anti-inflammatory activity, were identified as meranzin, baicalin, baicalein, chrysin-7-O-β-D-glucuronide, and wogonoside, respectively. The anti-inflammatory activities of meranzin, baicalin, baicalein, and wogonoside were verified in vitro. These four bioactive components significantly inhibited the secretion of inflammatory factors in the lipopolysaccharide-stimulated macrophage cell line. This research successfully screened the QJHTT anti-inflammatory active ingredient group. Meranzin, baicalin, baicalein, chrysin-7-O-β-D-glucuronide, and wogonoside were predicted to be the anti-inflammatory active ingredient groups of QJHTT.

Suppressing inflammatory signals and apoptosis-linked sphingolipid metabolism underlies therapeutic potential of Qing-Jin-Hua-Tan decoction against chronic obstructive pulmonary disease

“…Besides, these two compounds were discerned in the serum from the same mice as well as in the QJHTD preparation used for cellular tests. Thus, acacetin and baicalin may function as active ingredients favoring the in vitro and in vivo therapeutic efficacy of QJHTD against COPD [ 41 ]. Mechanistically, acacetin could bind MEK1/2, ERK1/2, Bcl2, NF-κB, and alCDase according to the results of our docking analysis, which elucidates the signaling modulation by QJHTD and indirectly testifies to the role of acacetin as an effective compound in this preparation.…”

Material basis and pharmacodynamic mechanism of YangshenDingzhi granules in the intervention of viral pneumonia: Based on serum pharmacochemistry and network pharmacology

“…Another study revealed that Rehmapicrogenin exhibited potent anti‐inflammatory effects on inducible nitric oxide synthase (iNOS), cyclooxygenase‐2 (COX‐2), and interleukin‐6 (IL‐6) in a model of inflammation induced by lipopolysaccharide (LPS)‐induced RAW264.7 26 . Meranzin has been shown to potentially reduce the inflammatory response induced by LPS and enhance the secretion of inflammatory cytokines TNF‐α, IL‐4, and IL‐6 in macrophages 27 . Ginsenoside Rf has been demonstrated to significantly decrease nitric oxide (NO) levels and IL‐6 in macrophages treated with LPS 28 .…”

Component-Effect Relationship between HPLC Fingerprints and Lipid-Lowering Activity of Buyang Huanwu Decoction

“…One kind of herbal medicine contains dozens of natural active ingredients, while a Chinese medicine prescription is composed of several kinds of herbal medicine [ 14 ]. Therefore, identifying the active components in these complicated formulations is a significant challenge.…”

“…e correlation degree value is between 0 and 1. e larger the value, the stronger the correlation between the evaluation item and the reference sequence. When the correlation degree is > 0.7, it is determined that the peak has a high correlation with the drug effect [14].…”