The current study explored the hepatotoxicity among closed-ring genipin, open-ring tautomer of genipin and gardenia blue that generated from genipin and amino acid reaction using HepaRG cells to identify the material basis of genipin-induced hepatotoxicity in vitro. The effects of temperature, pH value and different kinds of amino acids on the chemical structure tautomerism between closed-ring and open-ring tautomer of genipin and the production of gardenia blue were investigated firstly, which aimed to explicit the conditions that could distinguish the closed-ring genipin and its open-ring tautomer, and the conditions generating gardenia blue, which were applied to prepare different kinds of gardenia blue; the CCK-8 kit was employed to analyze the hepatotoxicity of closed-ring genipin, open-ring tautomer of genipin and gardenia blue. From the results, it was found that, the structure transformation from close-ring to open-ring of genipin could be inhibited under the condition with acid environment; being essential groups to generate gardenia blue, the primary amino group and the open-ring tautomer of genipin reacting to generate the dihydropyridine ring was probably the key structure of gardenia blue; the structure characteristics existed apparent distinction at the reactive temperature of 37 ℃ and 80 ℃; compared to the culture condition with pH = 7.4, the concentration of genipin with close-ring in culture medium was significantly increased at pH = 5, but the cell viability did not decreased; the cell toxicity of gardenia blue was apparently lower than open-ring tautomer of genipin, and even some kinds of gardenia blue showed growth promoting effect on HepaRG cells. Here, it was suggested potentially that open-ring tautomer of genipin be the important material basis to induce hepatotoxicity, which could provide a cue and lay a foundation for the elucidation of the underlying mechanism of genipin-induced hepatotoxicity.

In this study, the ovarian surgery (ovariectomy, OVX) was used to establish the osteoporosis mice model of primary menstruation, in order to evaluate the protective effects and mechanisms of Zhibai Dihuang decotion on postmenopausal osteoporosis (PMOP). The animal experimental protocol has been reviewed and approved by Laboratory Animal Ethics Committee of Jinan University (number: 20210315-03), in compliance with the Institutional Animal Care Guidelines. C57BL/6 mice were divided into five groups, including Sham group, OVX group, low (32 g·kg^-1·day^-1) and high dose (64 g·kg^-1·day^-1) of Zhibai Dihuang decotion groups, positive drug group (alendronate, 9.9 mg·kg^-1·q3d). After modeling, mice were given medication intervention for 8 weeks, and then femoral and tibial tissues were taken to detect indicators such as bone microstructure, bone resorption, and oxidative stress. The experimental results showed that after Zhibai Dihuang decotion administration, the bone microstructure damage caused by OVX surgery was alleviated, and the relevant parameters bone mineral density (BMD), bone volume/total volume (BV/TV), trabecular number (Tb. N) and connectivity density (Conn. D) both significantly increased. At the same time, the number of TRAP positive osteoclasts decreased significantly, and the levels of proteins and genes related to osteoclast differentiation decreased, indicating that Zhibai Dihuang decoction could inhibit the increased activity of osteoclast caused by OVX. Afterwards, network pharmacology was used to construct the active compound action target network of Zhibai Dihuang decotion, and it was found that the target genes of its active ingredients were closely related to the oxidative stress pathway. Finally, the detection results of oxidative stress levels in bone tissues showed that after treatment with Zhibai Dihuang decotion, the levels of oxidative stress products 4-hydroxynonenal (4-HNE) and malondialdehyde (MDA) in bone tissues of mice significantly decreased, while the levels of antioxidant stress substance L-glutathione (GSH) increased. These above results indicated that Zhibai Dihuang decotion can regulate the level of oxidative stress in the body and inhibit osteoclast activity, which played a therapeutic role in PMOP, as well as provided theoretical basis for the prevention and treatment of PMOP with traditional Chinese medicine.

Four new triterpenoids, together with six known analogues, were isolated from an aqueous extract of the Ziziphus jujuba var. spinosa seeds, by multiple column chromatographic separation methods using stationary phases of macroporous adsorption resin, MCI resin, normal phase silica gel, Sephadex LH-20, and Toyopearl HW-40C as well as preparative thin-layer chromatography and reversed-phase HPLC. Their structures were determined by spectroscopic data analysis, the new structures were trivially named jujubaceanothoside A (1), 23-epijujuboside A (2), and jujubosides J and K (3 and 4), while the known analogues were identified as jujubosides A-C (5-7) and II (8), alphitolic acid (9), and betulinic acid (10). The structure of 1 was confirmed by single crystal X-ray diffraction.

With the growing demand of personalized medicine for children, it is especially important to develop medicines for children. In this study, using metoprolol tartrate as model drug, we developed 3D printed chewable tablets suitable for children with automated dosage distribution using semi-solid extruded (SSE) 3D printing technology. Based on the quality by design concept, this study prepared a semi-solid material with good printability using gelatin as the substrate, constructed 3D models and printed tablets with the aid of computer-aided design. The printing parameters were optimized and determined as follows: print temperature of 35-37 ℃, print speed of 25 mm·s^-1, fill rate of 15%, and number of outer profile layers of 2. Subsequently, the printing process and the quality uniformity of the tablets were verified, and a linear relationship between the dose and the number of model layers was obtained. Finally, 3D printed chewable tablets were superior in terms of appearance, dose accuracy and compliance compared with traditional split-dose commercially available tablets. In this study, 3D printed metoprolol tartrate chewable tablets with good performance were successfully prepared to address the personalized medication needs of pediatric patients.

As a common protease with high similarity among coronavirus species, the main protease (M^pro) of SARS-CoV-2 is responsible for the catalytic hydrolysis of viral precursor proteins into functional proteins, which is essential for coronavirus replication and is one of the ideal targets for the development of broad-spectrum antiviral drugs. This paper reviews the main protease inhibitors of SARS-CoV-2, including their molecular structures, potencies and drug-like profiles, binding modes and structure-activity relationships, etc.

The morbidity and mortality of gastrointestinal malignancies are the highest in the world. For patients with poor response to conventional chemotherapy, new treatment methods are urgently needed. In recent years, under the background of precision medicine, antibody-drug conjugates (ADCs) with high tumor specificity and potent toxicity have become a hot research spot in the field of biomedicine. However, due to the complex structure and mechanism of ADCs, its pharmacokinetic research is facing great challenges which are the biggest resistance to the development of ADCs at present. In this case, it is of great significance to understand the pharmacokinetic properties of ADCs and make use of it to improve the efficacy of ADCs in the treatment of gastrointestinal malignancies. Based on the basic composition and mechanism of ADCs, this review summarizes the pharmacokinetic properties of ADCs, discusses its recent advances in the treatment of gastrointestinal malignancies, in order to provide more references for follow-up research on ADCs.

The quality control of Chinese patent medicines containing animal-derived crude drugs is relatively difficult, because the effective constituents of most animal-derived crude drugs remain unknown. Even if there are relevant methods, they are usually qualitative, and quantitative indicators are either lacking or have poor specificity. This paper has proposed to use molecular quantitative technology to control the quality of Chinese patent medicines containing animal-derived crude drugs. In this study, a molecular quantitative method based on fluorescence quantitative PCR was established for the determination of Jinqian Baihua She in Jinlong Capsule. The method has good specificity, sensitivity, and repeatability. There is a good linear relationship between the content of DNA fragments and the CT (cycle threshold) value. The content of the Bungarus multicinctus-specific fragment in Jinlong Capsule is 24.1-46.6 IU·mg^-1. It is suggested that the content of the specific fragment of Jinqian Baihua She should not be less than 19.3 IU·mg^-1 as one of the quality control criteria of Jinlong Capsule. The study can provide a reference for the quality control of Chinese patent medicines containing animal-derived crude drugs.

A quantitative analysis of multi-components by single marker method (QAMS) was established for simultaneous determination of gallic acid, protocatechuic acid, catechin, epicatechin, p-coumaric acid, ferulic acid and phloridzin in Cynomorium songaricum Rupr. The analysis was performed on a ChromCore Polae C₁₈ column (250 mm×4.6 mm, 5 μm), with a mobile phase consisting of acetonitrile-0.3% phosphoric acid aqueous solution for gradient elution. The volume flow rate, column temperature and sample injection volume were set at 1.0 mL·min^-1, 25 ℃, and 40 µL, respectively. The relative correction factors of gallic acid and protocatechuic acid, catechin, epicatechin, p-coumaric acid, ferulic acid and phloridzin were calculated and the durability was also investigated. The contents of these seven compounds in fourteen batches of Cynomorium songaricum Rupr. from different producing areas or batches were determined by external standard method (ESM) and quantitative analysis of multi-components with a single-marker method (QAMS), respectively. SPSS and Origin Pro software were employed for principal components assay, similarity evaluation and cluster analysis. The specificity, precision, repeatability, stability and linear range (R² > 0.999 0) of the seven components were all good. The average recovery was 96.89%-103.16% and RSD was 0.55%-2.76%. Then gallic acid was chosen as internal reference for calculation the correction factors for the other six components, the average relative correction factors of protocatechuic acid, catechin, epicatechin, p-coumaric acid, ferulic acid and phloridzin were 1.141 5, 0.200 5, 0.208 0, 2.361 9, 1.867 7, 0.204 6, respectively. Student's test results showed that there was no significant difference between the data analyzed by ESM and the data obtained from QAMS method. Through data visualization analysis, the contents of gallic acid, protocatechuic acid, catechin and epicatechin in different samples were significantly different, indicating that these four components might be the main quality markers of Cynomorium songaricum Rupr. for gaving more contributes to the principal components. The cluster analysis showed that samples from Xinjiang and samples from Inner Mongolia were clustered in significantly different categories, meaning that the quality of Cynomorium songaricum Rupr. had great relation with producing areas. The method of QAMS established in this study is a simple, economical and practical method with scientific and applicable charactistics for evaluating the quality of Cynomorium songaricum Rupr. efficiently and scientifically.

3D printing is an additive manufacturing technology with the help of digital control. Since FDA approved the first 3D printing drug in 2015, its research enthusiasm in the pharmaceutical field has been increasing year by year. In printing technology, fused deposition molding (FDM) and semi-solid extrusion (SSE) are the two most widely used extrusion molding technologies. In this review, recent advances of pharmaceutical 3D printing extrusion molding technology are reviewed from six aspects: mechanism, equipment, pharmaceutical excipients, applications, design and industrialization prospects of extrusion molding technology.

Design of structurally-novel drug molecules with deep learning can overcome the technical bottleneck of classical computer-aided drug design. It has become the frontier of new technique research on drug design, and has shown great potential in drug research and development practice. This review starts from the basic principles of deep learning-driven de novo drug design, goes on with the brief introduction to deep molecular generation techniques as well as computational tools and the analysis on representative successful cases, and eventually provides our perspective for future direction and application prospect about this technique. This review will provide ideas on new technique research and references for new drug research and development practice to which this technique is applied.