[Research and development practice of traditional Chinese medicine based on network target theory and technology].

Network targets theory and technology have transcended the limitations of the "single gene, single target" model, aiming to decipher the mechanisms of traditional Chinese medicine(TCM) based on biological network from the perspective of informatics and system. As the core of TCM network pharmacology, with the development of computer science and high-throughput experimental techniques, the network target theory and technology are beginning to exhibit a trend of organic integration with artificial intelligence technology and high-throughput multi-modal multi-omics experimental techniques. Taking the network target analysis of TCM like Yinqiao Qingre Tablets as a typical case, network target theory and technology have achieved the systematic construction, in-depth analysis, and high-throughput multi-modal multi-omics validation of multi-level biological networks spanning from traditional Chinese and Western phenotypes to tissues, cells, molecules, and traditional Chinese and Western medicines. This development helps to address critical issues in the analysis of mechanisms of TCM, including the discovery of key targets, identification of functional components, discovery of synergistic effects among compound ingredients, and elucidation of the regulatory mechanisms of formulae. It provides powerful theoretical and technological support for advancing clinical precision diagnosis and treatment, precise positioning of TCM, and precise research and development of TCM. Thus, a new paradigm of TCM research gradually emerges, combining big data and artificial intelligence(AI) with the integration of human experience and scientific evidence.

[Study on protective effect of vanillic acid from Astragalus membranaceus on hypertensive cardiac remodeling based on network pharmacology screen].

To identify and verify the active ingredients from Astragalus membranaceus on hypertensive cardiac remodeling based on network pharmacology and heart RNA-sequencing data. The monomers of A. membranaceus and their intervention target database were established by using network pharmacology. The genes associated to cardiac remodeling were then screened by analyzing cardiac RNA-sequencing data. An overlap between genes related to cardiac remodeling and targets of ingredients form A. membranaceus was collected to obtain monomers with protective effect on hypertensive cardiac remodeling. Angiotensin Ⅱ(AngⅡ)-induced mouse cardiac remodeling model was used to validate the protective effect of active ingredients from A. membranaceus on hypertensive cardiac remodeling. Finally, a total of 81 monomers and 1 197 targets were enrolled in our database. Mouse RNA-sequencing data showed that 983 genes were significantly up-regulated and 465 genes were down-regulation in myocardial tissues of the cardiac remodeling mice as compared with blank group mice, respectively. Ninety-two genes were found via overlapping between genes related to cardiac remodeling and targets, involving 59 monomers from A. membranaceus. Further research found that vanillic acid(VA) could intervene 27 genes associated with hypertensive cardiac remodeling, ranking top 1. Meanwhile, VA could significantly inhibit AngⅡ-induced increase in ratio of heart weight to body weight and heart weight to tibial length, ANP and BNP mRNA levels in myocardial tissues, myocardial tissue damage, cardiac fibrosis level and cardiac hypertrophy level in vivo. Those results showed that network pharmacology screen-based VA has protective effect on AngⅡ-induced cardiac remodeling.

Transesterification of rapeseed oil for biodiesel production in trickle-bed reactors packed with heterogeneous Ca/Al composite oxide-based alkaline catalyst.

A conventional trickle bed reactor and its modified type both packed with Ca/Al composite oxide-based alkaline catalysts were studied for biodiesel production by transesterification of rapeseed oil and methanol. The effects of the methanol usage and oil flow rate on the FAME yield were investigated under the normal pressure and methanol boiling state. The oil flow rate had a significant effect on the FAME yield for the both reactors. The modified trickle bed reactor kept over 94.5% FAME yield under 0.6 mL/min oil flow rate and 91 mL catalyst bed volume, showing a much higher conversion and operational stability than the conventional type. With the modified trickle bed reactor, both transesterification and methanol separation could be performed simultaneously, and glycerin and methyl esters were separated additionally by gravity separation.

Effect of calcination temperature on the activity of solid Ca/Al composite oxide-based alkaline catalyst for biodiesel production.

A solid Ca/Al composite oxide-based alkaline catalyst containing Ca(12)Al(14)O(33) and CaO was prepared by chemical synthesis and thermal activation from sodium aluminate solution and calcium hydroxide emulsion. The effect of calcination temperatures ranging from 120 °C to 1000 °C on activity of the catalyst was investigated. The catalyst calcined at 600 °C showed the highest activity with >94% yield of fatty acid methyl esters (i.e. biodiesel) when applied to the transesterification of rapeseed oil at a methanol:oil molar ratio of 15:1 at 65 °C for 3h. Structure and properties of the catalyst were studied and the characterizations with XRD, TGA, FTIR, BET, and SEM demonstrated that the performance of the catalyst was closely related to its specific surface area and crystalline structure. In particular, the generation of crystalline Ca(12)Al(14)O(33) improved the catalytic activity due its synergistic effect with CaO.