Cannabinoid receptors are one of the most expressed G protein-coupled receptors in the central nervous system, which are potential drug targets for inflammation, pain and drug abuse. Cannabinoid receptors are composed of type 1 receptor (CB1R), type 2 receptor (CB2R) and other receptors, of which CB1R plays a vital role in regulating central memory, cognition, and motor function. Therefore, screening CB1R agonists has potential value in treating nervous system diseases. In this study, the intracellular loop 3 (ICL3) domain of CB1R was replaced with a circular-permutated enhanced green fluorescent protein (cpEGFP). After infecting HEK 293T cells with lentivirus particles, we obtained a stable cell line that was overexpressed human CB1R-cpEGFP after puromycin selection. The interaction between receptor agonists and CB1R led to the change of receptor conformation, resulting in de-protonation of the EGFP, and enhancing the fluorescence intensity. Therefore, active CB1R compounds could be verified by measuring the fluorescence intensity. Using CB1R agonist arachidonyl-2′-chloroethylamide (ACEA) as a positive control to evaluate the reliability of this model, studies have shown that ACEA could induce receptor activation and increase fluorescence intensity, while antagonist rimonabant inhibited receptor activation with unchanged fluorescence intensity. In conclusion, this study successfully constructed a fluorescent probe screening model for CB1R agonists.

COVID-19 epidemic continues to spread around the world till these days, and it is urgent to develop more safe and effective new drugs. Due to the limited P3 biosafety laboratories for directly screening inhibitors of virulent viruses with high infectivity, it is necessary to develop rapid and efficient screening methods for viral proteases and other related targets. The main protease (M^pro), which plays a key role in the replication cycle of SARS-CoV-2, is highly conserved and has no homologous proteases in humans, making it an ideal target for drug development. From two different levels, namely, molecular level and cellular level, this paper summarizes the reported screening methods of SARS-CoV-2 M^pro inhibitors through a variety of representative examples, expecting to provide references for further development of SARS-CoV-2 M^pro inhibitors.

As an effective prescription for the treatment of rheumatoid arthritis (RA), Huangqin Qingre Chubi capsule (HQC) is still blank in quality control. This study aims to explore quality markers (Q-markers) for HQC in the treatment of RA by integrating network pharmacology and pharmacokinetics. By constructing the visualization network of "pharmacodynamic ingredient-target-pathway", the potential Q-Marker of HQC treatment for RA was preliminatively predicted. A rat model of rheumatic heat obstruction syndrome collagene-induced arthritis (CIA) was established to elucidate the dynamic quantification law of pharmacodynamic components of HQC in the disease state of rats. To establish the inflammatory model of RA synovial fibroblasts (MH7A) induced by tumor necrosis factor-α (TNF-α) in vitro. The effects of active ingredients on protein expression of sphingosin kinase-1 (Sphk1) and p-SphK1 were detected. The network pharmacological results showed that baicalin, geniposide, luteolin, coixol and amygdalin were the important active components of HQC treatment for RA. Quantitative analysis results further verified the measurability of these five components. The expression of Sphk1 and p-SphK1 was significantly inhibited by geniposide and baicalin by Western blotting. The above studies determined that the above 5 components could be used as Q-markers in the treatment of RA by HQC. This experiment was approved by the Experimental Animal Ethics Committee of Anhui University of Chinese Medicine (approval number: AHUCM-rats-2021049). All procedures were conducted in strict accordance with the principles of animal use and care.

Valencene, a kind of sesquiterpenoid with a citrus flavor, is mainly found in Valencia orange and is commonly used in cosmetics and food additives, as well as industrial synthetic nootkatone. In this study, synthetic biology was used to create a Saccharomyces cerevisiae cell factory to produce valencene. Fistly, valencene synthase gene (CnVS) from Callitropsis nootkatensis was inserted into the chromosome of the chassis strain YTT-T5. The resulting strain VAL-01 could produce 1.1 mg·L^-1 valencene. Protein fusion technique was used, different valencene synthases were compared and the copy number of key genes was adjusted, yielding valencene to 436.4 mg·L^-1. Then, knocking-out the transcription factor ROX1 resulted in valencene improvement by 17.4%. Moreover, the induction system of galactose was regulated, transcription factor PDR3 and INO2 were overexpressed. The engineered strain VAL-10 could produce 2 798.6 mg·L^-1 valencene by high cell density fermentation method (nearly 2 500 times higher than VAL-01). This study provides a basis for green production of valencene.

An UHPLC-Q-exactive orbitrap MS method for the simultaneous determination of 19 chemical components in Qilong Zhuang'er oral liquid was established and the quality differences between different batches of samples was compared by chemometric analysis to provide a basis for the quality evaluation of the preparation. The contents of allantoin, L-proline, pyroglutamic acid, hordenine, adenosine, L-phenylalanine, guanosine, L-tryptophan, caffeic acid, calycosin-7-glucoside, verbascoside, isoacteoside, ononin, calycosin, 3-hydroxy-9, 10-dimethoxyptercarpan, formononetin, atractylenolide Ⅲ, atractylenolide Ⅱ and astragaloside A were analyzed by cluster heat map, principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) using Hiplot platform and Markerlynx^XS software to comprehensively evaluate the quality difference of different batches of Qilong Zhuang'er oral liquid. The 19 chemical compounds showed good linearity in their respective concentration ranges (r ≥ 0.999). The RSD of precision, repeatability and stability (24 h) tests were all less than 1.94%. The average recovery was 97.24%-102.75% (RSD < 2.74%, n = 6). The 10 batches of samples were divided into two categories by cluster heat map and PCA analysis. 3-Hydroxy-9, 10-dimethoxyptercarpan, atractylenolide Ⅲ, calycosin, atractylenolide Ⅱ, formononetin, allantoin and caffeic acid were identified as differential markers by PLS-DA. The established multi component quantitative method of Qilong Zhuang'er oral liquid combined with chemometric analysis can provide reference for the quality evaluation of the preparation.

Growing clinical evidence shows that Qufeng Gutong Cataplasm may exert a significant analgesic effect. However, the pharmacological characteristics and mechanisms underlying this prescription are still unclear. In the current study, a "disease-syndrome-symptom-formula" association network analysis was performed to explore the pharmacological characteristics and mechanisms of Qufeng Gutong Cataplasm against osteoarthritis (OA), neuropathic pain (NP), chronic inflammatory pain (CIP) and myofascial pain syndrome (MPS) by integrating clinical phenomics data, transcriptomics data and biological interaction network mining. As a result, the three functional modules (Qufeng Sanhan-QFSHG, Shujin Huoxue-SJHXG and Xiaozhong Zhitong-XZZTG) enriched by the drug network targets were all related to the pharmacological effects of Qufeng Gutong Cataplasm, including dispersing cold and relieving pain, activating blood and relieving pain, reducing swelling and relieving pain. In addition, the main pharmacological effects of QFSHG and XZZTG were dispelling wind and dispersing cold and dehumidifying, promoting Qi and reducing swelling and relieving pain, respectively. In terms of reversing the imbalance of "immune-inflammation-vascular axis", the main pharmacological effects of SJHXG were regulating the liver and promoting Qi, activating blood circulation and removing stasis. Mechanically, the key network targets of Qufeng Gutong Cataplasm against OA, NP, CIP and MPS may play a therapeutic role in relieving hyperalgesia and paresthesia by reversing the "neuro-endocrine-immune" imbalance system during the occurrence and progression of diseases. In conclusion, our data indicate that Qufeng Gutong Cataplasm may relieve the pain and wind-cold-dampness arthralgia syndrome related symptoms by regulating the "neuro-endocrine-immune" system, neurological and endocrine disorders and reversing the imbalance of "immunity-inflammation". The relevant results may provide a network-based evidence for clinical positioning of Qufeng Gutong Cataplasm, and offer a direction for further clinical and experimental validation.

The rol genes on pRiA4 plasmid of Agrobacterium rhizogenes are potent genes that promote secondary metabolism. Molecular breeding of Atropa belladonna can be conducted by introducing rol genes to increase tropane alkaloids (TAs) content in A. belladonna. In this study, the rolB gene was overexpressed in A. belladonna plants to study the effect of rolB gene on the biosynthesis of TAs. The phenotype, TAs content and expression levels of key enzyme genes in the pathway of TAs biosynthesis of transgenic A. belladonna were analyzed. The results showed that transgenic A. belladonna had developed root system, enlarged leaves, increased leaf fresh weight, deepened leaf color, enlarged flowers, changed flower shape, reduced pistil height and decreased pollen vitality. The content of TAs in the stems of transgenic A. belladonna was significantly higher than that of the control, and the contents of scopolamine, anisodamine, hyoscyamine can reach 2.11-2.91, 1.23-2.37 and 4.88-5.20 times of the control, respectively. Compared with the control group, the expressions of key enzymes putrescine N-methyltransferase (PMT), type Ⅲ polyketide synthase (PYKS), tropinone reductase I (TRI), aromatic amino acid aminotransferase 4 (ArAT4), UDP-glycosyltransferase 1 (UGT1) and hyoscyamine 6-β-hydroxylase (H6H) in the TAs biosynthesis pathway were up-regulated, and the expression of tropinone reductase Ⅱ (TRⅡ) as a metabolic shunting gene was down-regulated. The results indicated that rolB gene enhanced TAs synthesis ability in roots and accumulation in stems of A. belladonna by enhancing metabolic flow of TAs synthesis pathway and weakening the metabolic shunt of competing pathway. This study laid a foundation for molecular breeding of A. belladonna with high-yield TAs content using rolB gene.

To investigate the cardioprotective effect of formononetin (FMN) on no-reflow (NR) after myocardial ischemia-reperfusion and its molecular mechanism based on integrated pharmacology and experimental verification, firstly, human breast cancer MCF-7 cells and myocardial NR rats were used to confirm the estrogenic activity and the effect of alleviating NR of FMN, respectively. Male SD rats were divided into Sham, NR, FMN (20 mg·kg^-1) and sodium nitroprusside (SNP, 5.0 mg·kg^-1) groups, which were administered once a day for one week, the experiment was approved by the Ethics Committee of Tianjin University of Traditional Chinese Medicine (TCM-LAEC2019095). The pharmacological analysis and in vivo study of NR rats were integrated to reveal the mechanism of FMN improving NR. The results showed that FMN had estrogenic effect and reduced NR by improving cardiac structure and function, reducing NR, ischemic myocardial area and pathological injury of cardiomyocytes. Integrated pharmacology predicts that the mechanism of FMN improving NR is mainly related to phosphatidyinositol-3-kinase-protein kinase B (PI3K-Akt) signal pathway. Phytoestrogens play a role in cardiovascular protection mainly by activating G protein-coupled estrogen receptor (GPER). GPER is also an important regulator in the upstream of PI3K-Akt signaling pathway. This study found that FMN can significantly activate GPER, p-PI3K, p-Akt and phospho-endothelial nitric oxide synthase (p-eNOS). It has good binding ability with GPER and eNOS protein. In this study, through the integration of pharmacology and experimental evaluation, it is revealed that FMN activates PI3K/Akt/eNOS signal pathway by activating GPER, thus significantly improving NR.

In 2015, the United States put forward the concept of precision medicine, which changed medical treatment from "one size fits all" to personalization, and paid more attention to personalization and drug customization. In the same year, Spritam^®, the world's first 3D printed tablet, was in the market, marking the emerging pharmaceutical 3D printing technology was recognized by regulatory authorities, and it also provided a new way for drug customization. 3D printing technology has strong interdisciplinary and high flexibility, which puts forward higher requirements for pharmaceutical staffs. With the development of artificial intelligence (AI), modern society can perform various tasks, such as disease diagnosis and robotic surgery, with superhuman speed and intelligence. As a major AI technology, machine learning (ML) has been widely used in many aspects of 3D printing drug, accelerating the research and development, production, and clinical application, and promoting the new process of global personalized medicine and industry 4.0. This paper introduces the basic concepts and main classifications of 3D printing drug, non-AI drug optimization technology and ML. It focuses on the analysis of the research progress of ML in 3D printing drug, and elucidates how AI can empower the intelligent level of 3D printing drug in pre-processing, printing, and post-processing process. It provides a new idea for accelerating the development of 3D printed drug.

Twenty one flavonoid glycosides were isolated and purified from n-butanol portion of the water extract of A. annua by various chromatographic techniques such as HP-20 macroporous adsorption resin, silica gel, ODS, Sephadex LH-20 gel column chromatography and preparative high performance liquid chromatography. Their structures were identified by analysis of physicochemical properties and spectral data, and determined as axillarin-7-O-β-D-xylopyranosyl-(1→6)-β-D-glucopyranoside (1), orientin (2), apigenin-6-C-β-D-glucopyranosyl-8-C-β-L-arabinopyranoside (3), apigenin-6-C-β-D-galactopyranosyl-8-C-β-L-arabinopyranoside (4), apigenin-6-C-β-L-arabinopyranosyl-8-C-β-D-glucopyranoside (5), apigenin-6-C-α-L-arabinofuranosyl-8-C-β-D-glucopyranoside (6), quercetin-3-O-β-D-glucopyranosyl-(1→2)-β-D-glucopyranoside (7), apigenin-6-C-α-L-arabinopyranosyl-8-C-β-D-glucopyranoside (8), vicenin-2 (9), patuletin-7-O-β-D-glucopyranoside (10), luteolin-6-C-glucopyranoside (11), vitexin (12), kaempferol-3-O-β-galactopyranosyl-(1→2)-β-glucopyranoside (13), quercetin-7-O-β-D-glucopyranoside (14), patuletin-3-O-β-D-glucopyranoside (15), 7-O-methyl-quercetagetin-6-O-β-D-glucopyranoside (16), quercetin-3-O-β-D-glucopyranoside (17), nepitrin (18), rutin (19), kaempferol-3-O-β-sophoroside (20), and patuletin-3-O-rutinoside (21). Compound 1 is a new compound, compounds 2, 4, 6, 7, 10, 11, 13, 15, 16, 18, 20 and 21 are isolated from A. annua for the first time. In the anti-inflammatory assay, compound 1 inhibited the release of IL-6 from LPS-induced RAW264.7 cells to significantly degrees with the high (100 μmol·L^-1), medium (50 μmol·L^-1), low (25 μmol·L^-1) concentration.