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

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.

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A strategy for qualitative and quantitative profiling of Angelicae Pubescentis Radix and detection of its analgesic and anti‐inflammatory components by spectrum–effect relationship and multivariate statistical analysis

Biomedical Chromatography ◽

10.1002/bmc.4910 ◽

2020 ◽

Vol 34 (10) ◽

Cited By ~ 2

Author(s):

Ajiao Hou ◽

Liu Yang ◽

Jiaxu Zhang ◽

Song Wang ◽

Wenjing Man ◽

...

Keyword(s):

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

Multivariate Statistical ◽

Effect Relationship ◽

Qualitative And Quantitative ◽

Anti Inflammatory ◽

Spectrum Effect ◽

Quantitative Profiling

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Spectrum–effect relationship of antioxidant and anti‐inflammatory activities of Laportea bulbifera based on multivariate statistical analysis

Biomedical Chromatography ◽

10.1002/bmc.4734 ◽

2020 ◽

Vol 34 (2) ◽

Cited By ~ 1

Author(s):

Yinrui Chen ◽

Shuhan Zou ◽

Wenfen Xu ◽

Qingwen Sun ◽

Li Yun

Keyword(s):

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

Multivariate Statistical ◽

Effect Relationship ◽

Anti Inflammatory ◽

Relationship Of ◽

Spectrum Effect

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Differential Constituents in Roots, Stems and Leaves of Polygonum multiflorum Thunb. Screened by UPLC/ESI-Q-TOF-MS and Multivariate Statistical Analysis

Journal of Chromatographic Science ◽

10.1093/chromsci/bmz086 ◽

2019 ◽

Vol 58 (2) ◽

pp. 136-143 ◽

Cited By ~ 1

Author(s):

Wen Rui ◽

Wanxia Xia ◽

Wei Zhao ◽

Bingling Li ◽

Jian Li ◽

...

Keyword(s):

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

Composition Analysis ◽

Chemical Compositions ◽

Therapeutic Effects ◽

Polygonum Multiflorum ◽

Multivariate Statistical ◽

Analytical Strategy ◽

Relative Standard ◽

Tof Ms

Abstract The differential constituents in leaves, stems and roots of Polygonum multiflorum Thunb. were analyzed by ultra-performance liquid chromatography coupled with electrospray ionization quadrupole time-of-flight mass spectrometry (UPLC/ESI-Q-TOF-MS) and by multivariate statistical analysis. The established extraction and analysis method showed relative standard deviations (RSDs) for intra-day precision of less than 3.40%, for repeatability of less than 4.06% and for stability of less than 5.10%. Principal component analysis and orthogonal projections to latent structures discriminant analysis of the UPLC/ESI-Q-TOF-MS data showed good ability to classify the leaves, stems and roots of P. multiflorum Thunb. The differential constituents, such as stilbenes, polygoacetophenoside, flavonoids and anthraquinones, accounting for variations between the leaves, stems and roots, were filtered through the variable importance in projection values and were further identified by elemental composition analysis, mass fragmentation data and retention times of available standards. Differences between the chemical compositions in the leaves, stems and roots of P. multiflorum Thunb. were closely related to their various therapeutic effects. This UPLC/ESI-Q-TOF-MS-based analytical strategy could be further utilized to evaluate the overall quality of traditional Chinese medicines and their differences of chemical constituents in different parts of the plant and/or in the plants of different geographical locations.

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