Quality and composition control of complex TCM preparations through a novel “Herbs-in vivo Compounds-Targets-Pathways” network methodology: The case of Lianhuaqingwen capsules
Lianhuaqingwen (LHQW) capsules, a Chinese patent medicine composed of 13 herbal ingredients, are widely used for respiratory diseases. However, the complex composition of LHQW poses challenges in assessing its quality and consistency. In this study, a comprehensive network of LHQW was constructed by...
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Pharmacological Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1043661825000751 |
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| Summary: | Lianhuaqingwen (LHQW) capsules, a Chinese patent medicine composed of 13 herbal ingredients, are widely used for respiratory diseases. However, the complex composition of LHQW poses challenges in assessing its quality and consistency. In this study, a comprehensive network of LHQW was constructed by integrating Digital RNA with pertUrbation of Genes (DRUG)-seq, RNA sequencing, and pharmacodynamic data. This approach enables rapid and systematic screening of compounds in LHQW that exhibit high-exposure in vivo and significant activity potential, serving as potential quality control markers. Specifically, DRUG-seq was employed to evaluate gene expression alterations in peripheral blood mononuclear cells derived from healthy volunteers. Ultrahigh-performance liquid chromatography coupled with high-resolution mass spectrometry (UPLC-HRMS) identified 505 compounds in LHQW-treated rats. Additionally, absorption, distribution, metabolism, and excretion (ADME) profiles were plotted for 27 primary components of LHQW. Furthermore, an HPLC-MS/MS method quantified 46 compounds from LHQW, with 15 of them identified as potential quality markers with high exposure levels. These markers exhibited significant inhibitory effects on lipopolysaccharide (LPS)-induced pneumonia in mice, with mechanisms predicted by RNA-seq and verified by RT-qPCR. In summary, this study successfully constructed an ''Herbs- in vivo Compounds-targets-pathways'' network, offering novel insights into the mechanisms of LHQW and establishing a foundation for enhancing quality control measures. |
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| ISSN: | 1096-1186 |