Integration of four-dimensional proteomics and network pharmacology to reveal molecular mechanisms of multi-components multi-targets effects of Sini decoction on myocardial infarction.

Sini Decoction (SND) has been proven to be an effective formula to alleviate cardiac injury of myocardial infarction (MI). However, the potential mechanism of SND remains unclear. In this study, the MI rat model was established by ligating the left anterior descending coronary artery. A total of 17 SND-distributed components in heart were identified by using ultra-high performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UHPLC-Q-TOFMS). The combination of four-dimensional (4D) proteomics and network pharmacology was employed to find the potential targets for therapeutic intervention, and molecular docking and cellular thermal shift assay (CETSA) were used to reveal the interactions between the potential targets and the potential active components distributed in heart of SND. 33 SND-effected proteins were identified by 4D proteomics, which was involved in carbon metabolism, fatty acid metabolism, valine, leucine and isoleucine degradation, tricarboxylic acid (TCA) cycle and PPAR signaling pathway. 17 potential SND-targeted direct proteins were screened by comparing SND-effected proteins generated from 4D proteomics with the MI-related proteins obtained from disease database. The potential relationships between 17 components and 17 potential SND-targeted direct proteins were established by molecular docking analysis, in which songorine, benzoylhypaconine, hypaconine, formononetin, and liquiritigenin could be bound to the surrounding amino acid residues in the binding pocket of Mtor, Parp1, Acadm, Crat, and Aldh2. Then, CETSA analysis further confirmed that songorine and benzoylhypaconine could increase the heat stability of Mtor and Parp1 in cardiac tissue lysate, respectively, which suggested that there existed direct interactions between songorine and Mtor, and benzoylhypaconine and Parp1. In summary, this work concluded that SND produced cardioprotective effects mainly through preserving energy metabolism, also demonstrated that the combination of 4D proteomics and network pharmacology was a promising tool for uncovering the molecular mechanisms of multi-components multi-targets effects of TCM.

被引量：- 发表：1970

PK-PD relationship of poorly absorbable active ingredients from traditional Chinese medicines explaining by metabolic enzyme of gut microbiota: A case study of Dehydrocorydaline.

被引量：- 发表：1970

Integrated serum pharmacochemistry, network pharmacology and experimental verification to explore the mechanism of Aconiti Lateralis Radix Praeparata in treatment of lung cancer.

被引量：- 发表：1970

Simultaneous determination of canonical purine metabolism using a newly developed HILIC-MS/MS in cultured cells.

被引量：- 发表：1970

Surface enhanced transmission Raman spectroscopy: Quantitative performances for impurity analysis in complex matrices.

A transmission detection mode was investigated with SERS analyses (SETRS). A comparison between backscattering and transmission detection modes was conducted to demonstrate the feasibility of performing SETRS analyses. The impact of various parameters on the SERS signal intensity such as sample volume, lens collection optic, laser beam size and laser power were then examined. The analytical performances of SETRS were further evaluated through the quantification of an impurity (4-aminophenol) ranging from 3 to 20 µg/mL in a commercial pharmaceutical product using a total error risk-based approach. To account for expected variability of routine analysis, 9 batches of silver nanoparticles suspensions were used and experiments were performed over 5 different days and by 2 operators. Univariate spectral analysis based on a quadratic regression was compared to a multivariate approach using a partial least square regression. The presented results demonstrated that SETRS can be used to determine an impurity in a complex matrix opening new perspectives for quantitative applications.

被引量：- 发表：1970