Baihe Jizihuang Tang Ameliorates Chronic Unpredictable Mild Stress-Induced Depression-Like Behavior: Integrating Network Pharmacology and Brain-Gut Axis Evaluation.

Baihe Jizihuang Tang (BHT) is a traditional Chinese medicine (TCM) prescription, which can also be used as a nutritional food with medicinal value. Herein, we aimed to clarify the antidepressive effects and molecular mechanism of BHT. Network pharmacological analysis; chronic unpredictable mild stress (CUMS) rat model assessment; behavioral tests; analysis of hippocampal neurotransmitter levels, hippocampal pathological structure, and hypothalamic-pituitary-adrenal (HPA) axis; western blot analysis; 16s RNA sequencing; ultraperformance liquid chromatography (UPLC)/mass spectrometry (MS); and high-performance liquid chromatography (HPLC)/ultraviolet (UV) analysis were used. We found 8 potentially active components and 12 targets from the database. KEGG analysis suggested that BHT significantly affected BDNF/tyrosine receptor kinase B levels, glutamate binding, synaptic transmission based on neurotransmitter signal, and the response to glucocorticoid signaling pathways. Consistently, 7 chemical components were identified using UPLC/quadrupole time-of-flight/MS; among them, regalosides A, B, C, and E were unique components of lily of TCM, and their content in BHT was significantly different: regaloside A > B > E > C. BHT could nourish hippocampal neurons, affect neurotransmitter metabolism, reduce HPA axis hyperactivity, improve deficits in hippocampal tissue structure, and change depressive behavior. Moreover, BHT regulated BDNF expression in the hippocampus and improved intestinal flora deficits in CUMS rats by changing the content of Bifidobacterium, Rothia, Glutamicibacter, and Lactobacillus at the genus level. Collectively, BHT attenuated CUMS-induced depression-like behavior by regulating BDNF and intestinal flora disorder through the brain-gut axis. Therefore, including BHT in the medication list may constitute a potential strategy for preventing depression.

Effects of different drying methods on the chemical constituents of Lilium lancifolium Thunb. based on UHPLC-MS analysis and antidepressant activity of the main chemical component regaloside A.

The Lilium lancifolium Thunb. is a herb with multiple functions in both medicine and food in China, and its extracts have shown antidepressant effects. In this study, fresh bulbs of Lilium lancifolium Thunb. were processed to study the effects of different drying processes on changes in its main chemical components. We found that different drying methods can affect the chemical constituents of the herb. Among these components, Regaloside A has been found as the characteristic component. Here, Cell Counting Kit-8 assay, and Western blotting were used to evaluate the neuroprotective antidepressant effects of Regaloside A. The results showed the cell survival rate was improved, the phosphorylation levels of brain-derived neurotrophic factor, tyrosine kinase receptor B, phosphatidylinositol 3 kinase, protein kinase B, and mammalian target of rapamycin were increased after Regaloside A treatment. In general, different drying methods have a significant influence on the chemical composition of the herb, and Regaloside A may be the main chemical component of the herb. It can alleviate the damage of corticosterone in SH-SY5Y cells, and phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin signaling mediated by brain-derived neurotrophic factor/tyrosine kinase receptor B may play an important role in the neuroprotective antidepressant effects of Regaloside A.

HS-GC-IMS-Based metabonomics study of Baihe Jizihuang Tang in a rat model of chronic unpredictable mild stress.

The aim of this study was to investigate the differences in volatile organic compounds (VOCs) obtained from the feces of a Baihe Jizihuang Tang (BHT)-treated rat depression model. Rats were subjected to chronic unpredictable mild stress (CUMS), and the differences in VOCs were analyzed by headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS), NIST software, principal component analysis, and orthogonal partial least squares discriminant analysis. Eleven biomarkers were identified on the basis of VOC migration time, and their relative peak intensities were analyzed. A metabonomic model was established using multivariate statistical analysis. The study demonstrated the metabonomics of CUMS rats and the intervention effect of BHT and also highlighted the potential therapeutic effects of the traditional Chinese medicine (TCM) Jingfang for the clinical treatment of complex diseases, which was in line with the holistic and systemic approaches of TCM. This study augments the use of metabonomics based on HS-GC-IMS in research studies. Using this method, there is no need to pre-process samples by extraction or derivatization, and the VOC component of the sample can be detected directly and rapidly. In conclusion, this study establishes a simple, convenient, and fast technique, which can help identify clinical biomarkers for rapid medical diagnosis.