Common responses in gene expression by Ephedra herba in brain and heart of mouse

Identification and characterization of chemical constituents in Mahuang Guizhi Decoction and their metabolites in rat plasma and brain by UPLC-Q-TOF/MS

Objective

Mahuang Guizhi Decoction (MGD), an essential herbal pair in traditional Chinese medicine, is able to release cold, fever and asthma, mainly containing alkaloids, flavonoids, phenylpropanoids and amino acids. However, the absorption and distribution of these four category compounds in vivo still remained unclearly.

Methods

In our research, we utilized UPLC-Q-TOF-MS technique to identify the constituents within MGD, as well as the prototypes of MGD and their metabolites absorbed in plasma and brain. We further profiled the drug-time curve of prototypes and metabolites of MGD both in plasma and brain.

Results

Our results showed that 105 constituents were characterized in MGD. Thirty of them could be absorbed into blood, and ten of them could be distributed into brain. We also discovered eight new bio-transformed metabolites in blood, and a half of which could pass through the blood-brain barrier. In addition, all components detected in vivo could be absorbed and distributed immediately.

Conclusion

These findings provide an approachable method to analyze the potential bio-active compounds in MGD and their in vivo behaviors, which could promote the efficacious material basis study of MGD and the security of clinical utilization.

Ephedrae Herba: A Review of Its Phytochemistry, Pharmacology, Clinical Application, and Alkaloid Toxicity

Ephedrae Herba (Ephedra), known as "MaHuang" in China, is the dried straw stem that is associated with the lung and urinary bladder meridians. At present, more than 60 species of Ephedra plants have been identified, which contain more than 100 compounds, including alkaloids, flavonoids, tannins, sugars, and organic phenolic acids. This herb has long been used to treat asthma, liver disease, skin disease, and other diseases, and has shown unique efficacy in the treatment of COVID-19 infection. Because alkaloids are the main components causing toxicity, the safety of Ephedra must be considered. However, the nonalkaloid components of Ephedra can be effectively used to replace ephedrine extracts to treat some diseases, and reasonable use can ensure the safety of Ephedra. We reviewed the phytochemistry, pharmacology, clinical application, and alkaloid toxicity of Ephedra, and describe prospects for its future development to facilitate the development of Ephedra.

Sho-saiko-to, a traditional herbal medicine, regulates gene expression and biological function by way of microRNAs in primary mouse hepatocytes

BACKGROUND

Sho-saiko-to (SST) (also known as so-shi-ho-tang or xiao-chai-hu-tang) has been widely prescribed for chronic liver diseases in traditional Oriental medicine. Despite the substantial amount of clinical evidence for SST, its molecular mechanism has not been clearly identified at a genome-wide level.

METHODS

By using a microarray, we analyzed the temporal changes of messenger RNA (mRNA) and microRNA expression in primary mouse hepatocytes after SST treatment. The pattern of genes regulated by SST was identified by using time-series microarray analysis. The biological function of genes was measured by pathway analysis. For the identification of the exact targets of the microRNAs, a permutation-based correlation method was implemented in which the temporal expression of mRNAs and microRNAs were integrated. The similarity of the promoter structure between temporally regulated genes was measured by analyzing the transcription factor binding sites in the promoter region.

RESULTS

The SST-regulated gene expression had two major patterns: (1) a temporally up-regulated pattern (463 genes) and (2) a temporally down-regulated pattern (177 genes). The integration of the genes and microRNA demonstrated that 155 genes could be the targets of microRNAs from the temporally up-regulated pattern and 19 genes could be the targets of microRNAs from the temporally down-regulated pattern. The temporally up-regulated pattern by SST was associated with signaling pathways such as the cell cycle pathway, whereas the temporally down-regulated pattern included drug metabolism-related pathways and immune-related pathways. All these pathways could be possibly associated with liver regenerative activity of SST. Genes targeted by microRNA were moreover associated with different biological pathways from the genes not targeted by microRNA. An analysis of promoter similarity indicated that co-expressed genes after SST treatment were clustered into subgroups, depending on the temporal expression patterns.

CONCLUSIONS

We are the first to identify that SST regulates temporal gene expression by way of microRNA. MicroRNA targets and non-microRNA targets moreover have different biological roles. This functional segregation by microRNA would be critical for the elucidation of the molecular activities of SST.