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High-Throughput Immunological Analysis of Dictamni Cortex: Implication in the Quality Control of Herbal Medicine

Authors :
Eric Chun-Wai Wong
Ling Cheng
David T W Lau
Miranda Sin-Man Tsang
Christopher W.K. Lam
Pang-Chui Shaw
Ida Miu-Ting Chu
Chun-Kwok Wong
Source :
Molecules, Molecules, Vol 24, Iss 16, p 2880 (2019), Volume 24, Issue 16
Publication Year :
2019
Publisher :
MDPI, 2019.

Abstract

Quality inconsistency of herbal medicine is an obstacle that limits the extensive use and study of traditional Chinese medicine. Differences in environmental conditions and processing methods of herbal medicine often result in varying clinical outcomes in patients. Standard chemical markers used for the quality control (QC) of herbal medicine are usually the most abundant and characteristic components, which may not be therapeutically relevant or cannot comprehensively reflect the biological quality of the herbs. In view of this, a novel QC method for better assessment of herbal medicine has been developed via bioactivities analysis. Immunological activities of Dictamni Cortex, a typical herbal medicine for the treatment of various inflammatory diseases, from different geographical locations in China, were evaluated. Upon in vitro treatment of their water and ethanol extracts, distinct patterns of inflammatory cytokines including tumor necrosis factor (TNF)-&alpha<br />interleukin (IL)-10, IL-6, IL-12p70, IL-1&beta<br />and chemokine CXCL8 were released from the lipopolysaccharides- and/or phytohaemagglutinin-stimulated human peripheral blood mononuclear cells (PBMC). Thus, in addition to the commonly used morphological, chemical, or DNA markers, the novel high-throughput profiling of inflammatory cytokines and chemokines of PBMC upon treatment with herbal extracts could be an important reference to help for the quality control of herbal medicine in the future.

Details

Language :
English
ISSN :
14203049
Volume :
24
Issue :
16
Database :
OpenAIRE
Journal :
Molecules
Accession number :
edsair.doi.dedup.....38b4e0083426c98783f62e7cd0ff4fa2