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 QJHT...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Analytical Methods in Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2021/6348979 |
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| author | Feipeng Duan Yisheng Li Meizhen Zhao Tianyong Hu Xinquan Pan Yue Feng Fang Ma Shuqi Qiu Yiqing Zheng |
| author_facet | Feipeng Duan Yisheng Li Meizhen Zhao Tianyong Hu Xinquan Pan Yue Feng Fang Ma Shuqi Qiu Yiqing Zheng |
| author_sort | Feipeng Duan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-443dbd53355346408bb9d8b2015c8d8a |
| institution | Kabale University |
| issn | 2090-8865 2090-8873 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Analytical Methods in Chemistry |
| spelling | doaj-art-443dbd53355346408bb9d8b2015c8d8a2025-02-03T01:25:13ZengWileyJournal of Analytical Methods in Chemistry2090-88652090-88732021-01-01202110.1155/2021/63489796348979Screening of Anti-Inflammatory Components of Qin Jin Hua Tan Tang by a Multivariate Statistical Analysis Approach for Spectrum-Effect RelationshipsFeipeng Duan0Yisheng Li1Meizhen Zhao2Tianyong Hu3Xinquan Pan4Yue Feng5Fang Ma6Shuqi Qiu7Yiqing Zheng8Department of Otolaryngology, Longgang E. N. T Hospital and Shenzhen Key Laboratory of E. N. T, Institute of E. N. T, Shenzhen 518172, ChinaDepartment of Otolaryngology, Longgang E. N. T Hospital and Shenzhen Key Laboratory of E. N. T, Institute of E. N. T, Shenzhen 518172, ChinaDepartment of Otolaryngology, Longgang E. N. T Hospital and Shenzhen Key Laboratory of E. N. T, Institute of E. N. T, Shenzhen 518172, ChinaDepartment of Otolaryngology, Longgang E. N. T Hospital and Shenzhen Key Laboratory of E. N. T, Institute of E. N. T, Shenzhen 518172, ChinaDepartment of Otolaryngology, Longgang E. N. T Hospital and Shenzhen Key Laboratory of E. N. T, Institute of E. N. T, Shenzhen 518172, ChinaDepartment of Otolaryngology, Longgang E. N. T Hospital and Shenzhen Key Laboratory of E. N. T, Institute of E. N. T, Shenzhen 518172, ChinaDepartment of Otolaryngology, Longgang E. N. T Hospital and Shenzhen Key Laboratory of E. N. T, Institute of E. N. T, Shenzhen 518172, ChinaDepartment of Otolaryngology, Longgang E. N. T Hospital and Shenzhen Key Laboratory of E. N. T, Institute of E. N. T, Shenzhen 518172, ChinaInstitute of Otolaryngology, Institute of Hearing and Speech of Sun Yat-sen University, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510520, ChinaQing 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.http://dx.doi.org/10.1155/2021/6348979 |
| spellingShingle | Feipeng Duan Yisheng Li Meizhen Zhao Tianyong Hu Xinquan Pan Yue Feng Fang Ma Shuqi Qiu Yiqing Zheng Screening of Anti-Inflammatory Components of Qin Jin Hua Tan Tang by a Multivariate Statistical Analysis Approach for Spectrum-Effect Relationships Journal of Analytical Methods in Chemistry |
| title | Screening of Anti-Inflammatory Components of Qin Jin Hua Tan Tang by a Multivariate Statistical Analysis Approach for Spectrum-Effect Relationships |
| title_full | Screening of Anti-Inflammatory Components of Qin Jin Hua Tan Tang by a Multivariate Statistical Analysis Approach for Spectrum-Effect Relationships |
| title_fullStr | Screening of Anti-Inflammatory Components of Qin Jin Hua Tan Tang by a Multivariate Statistical Analysis Approach for Spectrum-Effect Relationships |
| title_full_unstemmed | Screening of Anti-Inflammatory Components of Qin Jin Hua Tan Tang by a Multivariate Statistical Analysis Approach for Spectrum-Effect Relationships |
| title_short | Screening of Anti-Inflammatory Components of Qin Jin Hua Tan Tang by a Multivariate Statistical Analysis Approach for Spectrum-Effect Relationships |
| title_sort | screening of anti inflammatory components of qin jin hua tan tang by a multivariate statistical analysis approach for spectrum effect relationships |
| url | http://dx.doi.org/10.1155/2021/6348979 |
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