RESUMEN
Strobilanthes sarcorrhiza (CTS) is a medicinal plant with various pharmacological effects such as tonifying kidney and anti-inflammatory. However, the chemical composition and difference of its four parts (leaves, stems, rhizomes, and root tubers) have been rarely reported. In this study, ultrafast flow liquid chromatography coupled with quadrupole-time-of-flight MS was applied to analyze the chemical profile of CTS and identify 55 compounds, including terpenoids, phenylethanol glycosides, fatty acid derivatives, chain glycosides, flavonoid glycosides, and others. Among these compounds, 34 compounds were first identified in CTS. They were mainly terpenoids, phenylethanol glycosides, fatty acid derivatives, and so forth. Multivariate statistical analysis, such as principal component analysis and orthogonal partial least squares-discriminant analysis were also used to evaluate the difference in chemical compounds from the four parts of CTS. The results showed that phenylethanol glycosides were the main compounds of the underground parts, while terpenoids were the main compounds of the aboveground parts. This study revealed the chemical diversity and similarity of CTS and suggested that the rhizomes could be used as an alternative medicinal part to improve the resource utilization of CTS.
Asunto(s)
Espectrometría de Masas , Análisis Multivariante , Espectrometría de Masas/métodos , Cromatografía Liquida/métodos , Extractos Vegetales/química , Terpenos/análisis , Terpenos/química , Glicósidos/análisis , Glicósidos/química , Cromatografía Líquida de Alta Presión/métodosRESUMEN
This study aims to explore the correlation between intestinal toxicity and composition changes of Euphorbia ebracteolata before and after Terminalia chebula soup(TCS) processing. Intragastric administration was performed on the whole animal model. By using fecal water content, inflammatory causes, and pathological damage of different parts of the intestinal tract of mice as indexes, the differences in intestinal toxicity of dichloromethane extraction of raw E. ebracteolata(REDE), dichloromethane extraction of TCS, and dichloromethane extraction of E. ebracteolata after simulated TCS processing(STREDE) were compared, so as to investigate the effect of TCS processing on the intestinal toxicity of E. ebracteolata. At the same time, the component databases of E. ebracteolata and T. chebula were constructed, and the composition changes of diterpenoids, tannins, and phenolic acids in the three extracted parts were analyzed by HPLC-TOF-MS. HPLC was used to compare the content of four diterpenoids including ent-11α-hydroxyabicta-8(14), 13(15)-dien-16, 12-olide(HAO), jolkinolide B(JNB), fischeria A(FA), and jolkinolide E(JNE) in the E. ebracteolata before and after processing and the residue of container wall after processing, so as to investigate the effect of TCS processing on the content and structure of the diterpenoids. The results showed that the REDE group could significantly increase the fecal water content and the release levels of TNF-α and IL-1ß from each intestinal segment, and intestinal tissue damage was accompanied by significant infiltration of inflammatory cells. However, compared with the REDE group, the intestinal tissue damage in the STREDE group was alleviated, and the infiltration of inflammatory cells decreased. The intestinal toxicity significantly decreased. Mass spectrometry analysis showed that there was no significant difference in the content of diterpenoids of REDE before and after simulated TCS processing, but a large number of tannins and phenolic acids were added. The results of HPLC showed that the content of four diterpenoids of E. ebracteo-lata decreased to varying degrees after TCS processing, ranging from-0.35% to-19.74%, and the decreased part mainly remained in the container wall, indicating that the structure of toxic diterpenoids of E. ebracteolata was not changed after TCS processing. The antagonistic effect of tannic and phenolic acids in the TCS may be the main reason for the reduced intestinal toxicity of E. ebracteolata after TCS processing. The TCS processing for E. ebracteolata is scientific.
Asunto(s)
Medicamentos Herbarios Chinos , Euphorbia , Terminalia , Euphorbia/química , Animales , Terminalia/química , Ratones , Medicamentos Herbarios Chinos/química , Medicamentos Herbarios Chinos/toxicidad , Masculino , Intestinos/efectos de los fármacos , Intestinos/química , Cromatografía Líquida de Alta Presión , HumanosRESUMEN
Background: Mania has caused incalculable economic losses for patients, their families, and even society, but there is currently no effective treatment plan for this disease without side effects. Methods: Using bioinformatics and Mendelian randomization methods, potential drug target genes and key substances associated with mania were explored at the mRNA level. We used the chip expression profile from the GEO database to screen differential genes and used the eQTL and mania GWAS data from the IEU database for two-sample Mendelian randomization (MR) to determine core genes by colocalization. Next, we utilized bioinformatics analysis to identify key substances involved in the mechanism of action and determined related gene targets as drug targets. Results: After differential expression analysis and MR, a causal relationship between the expression of 46 genes and mania was found. Colocalization analysis yielded six core genes. Five key substances were identified via enrichment analysis, immune-related analysis, and single-gene GSVA analysis of the core genes. MR revealed phenylalanine to be the only key substance that has a unidirectional causal relationship with mania. In the end, SBNO2, PBX2, RAMP3, and QPCT, which are significantly associated with the phenylalanine metabolism pathway, were identified as drug target genes. Conclusion: SBNO2, PBX2, RAMP3, and QPCT could serve as potential target genes for mania treatment and deserve further basic and clinical research. Medicinal target genes regulate the phenylalanine metabolism pathway to achieve the treatment of mania. Phenylalanine is an important intermediate substance in the treatment of mania that is regulated by drug target genes.
RESUMEN
BACKGROUND: Ischemic stroke is a disease in which cerebral blood flow is blocked due to various reasons, leading to ischemia, hypoxia, softening, and even necrosis of brain tissues. The level of cortisol is related to the occurrence and progression of ischemic stroke. However, the mechanism governing their interrelationship is still unclear. The main objective of this study was to identify and understand the molecular mechanism between cortisol and IS. METHODS: The common cortisol-related biological processes were screened by mutual verification of two data sets and the cortisol-related hub biomarkers were identified. Modular analysis of protein interaction networks was performed, and the differential pathway analysis of individual genes was conducted by GSVA and GSEA. Drug and transcription factor regulatory networks of hub genes were excavated, and the diagnostic potential of hub genes was analyzed followed by the construction of a diagnostic model. RESULTS: By screening the two data sets by GSVA, three biological processes with common differences were obtained. After variation analysis, four cortisol-related hub biomarkers (CYP1B1, CDKN2B, MEN1, and USP8) were selected. Through the modular analysis of the protein-protein interaction network and double verification of GSVA and GSEA, a series of potential molecular mechanisms of hub genes were discovered followed by a series of drug regulatory networks and transcription factor regulatory networks. The hub biomarkers were found to have a high diagnostic value by ROC; thus, a diagnostic model with high diagnostic efficiency was constructed. The diagnostic value was mutually confirmed in the two data sets. CONCLUSION: Four cortisol-related hub biomarkers are identified in this study, which provides new ideas for the key changes of cortisol during the occurrence of IS.