The quality evaluation of traditional Chinese medicine is one of the key issues related to the modernization of traditional Chinese medicine. The quality evaluation technology system of traditional Chinese medicine mainly includes traditional evaluation (traits, microscopic and physicochemical identification), chemical evaluation and biological evaluation. Due to the complex composition of traditional Chinese medicine, the single detection method in the above evaluation technology system usually cannot obtain sufficient quality information. The multi-source information fusion strategy can organically integrate data from multiple analysis and detection technologies to obtain more comprehensive information of samples and improve the quality evaluation effect. At present, multi-source information fusion strategy has been widely used in the fields of military, industrial and food, and it is still in its infancy in the field of quality evaluation of traditional Chinese medicine. This research introduces the definition, structure, method (algorithm) and fusion level of multi-source information fusion, summarizes its research progress in the origin traceability, variety identification and pharmaceutical analysis of traditional Chinese medicine, and sorts out the specific methods of data fusion in each literature. Finally, we summarized, prospected and discussed the application, development and existing problems of information fusion technology and its application in the quality evaluation of traditional Chinese medicine, in order to provide reference for broadening the application of this technology in the field of traditional Chinese medicine.

There is still a serious challenge of the measurement of critical quality attributes (CQAs) related to clinical efficacy for Chinese materia medica manufacturing. To overcome this challenge, an integrated strategy of biosensor and ultra-performance liquid chromatography/tandem mass spectrometry (UPLC-MS/MS) was proposed using Tongren niuhuang qingxin pills as a trial. Firstly, an original biosensor was created using a semiconductor chip material high electron mobility transistor (HEMT) as the transducer and the macrophage migration inhibitory factor (MIF) as the identification element. By this MIF-HEMT biosensor, the efficacy on stoke of different components from Tongren niuhuang qingxin pills was measured. It was clear that all three components of Tongren niuhuang qingxin pills had strong therapeutic effects on stroke, especially the section A, the K_D of which reached to 8.722×10^-10 g·mL^-1. Furthermore, MIF-HEMT biosensor integrated UPLC-MS/MS was introduced to identify the efficacy CQAs of different components of Tongren niuhuang qingxin pills. As a result, 19 potential CQAs, such as albiforin, paeoniflorin, and prim-O-glucosylcimifugin, were measured as the efficacy CQAs of Tongren niuhuang qingxin pills on stroke treatment by MIF. These results provided vital measurement techniques and methodological guidance for the CQAs study of Tongren niuhuang qingxin pills intervention in MIF-induced stroke treatment. This also provided an essential guideline for the efficient utilization and quality control measurement of high-quality classical recipes.

An UPLC-Q-TOF/MS^E technology coupled with UNIFI database was used to develop a rapid, high coverage, accurate and efficient chemical composition qualitative method for Xuezhikang Capsule. A UNIFI database was established utilizing compound name, formula, structure, following automatic matching with high-resolution mass numbers, isotope distributions, mass deviations, fragment ion matching, and chromatographic retention features in UNIFI database to achieve the qualitative results of natural products in Xuezhikang Capsules. Combined with manual confirmation, 82 chemical components were identified in Xuezhikang Capsules, and the MS² fragmentation pathway of typical organic acids, flavonoids, monacrines, and monascus were analyzed to ensure accuracy of the LC-MS workflow. This study clarified the chemical substance basis of Xuezhikang Capsules by LC-MS technology, providing experimental data support for the identification of key quality attributes, quality control and consistency evaluation in the manufacturing process of Xuezhikang Capsules.

This study primarily concentrated on scientific problems of poor taste caused by unclear critical quality attributes of oral preparations manufactured by Chinese materia medica, successfully established an identification method for taste critical quality attribute and a taste improvement method combining electronic tongue with human senses, and determined the optimal taste formula, to improve patients' oral medication compliance. The study received ethical approval from the Review Committee of the Beijing University of Chinese Medicine. The results showed that the proportion of bitterness of Xiaoer Qingrening Granule was 61.8%, and its bitterness grade was 3.70, it was determined that bitterness is the critical quality attribute that caused the poor taste of Xiaoer Qingrening Granule. Additionally, the optimal taste formula per milliliter of Xiaoer Qingrening sugar-free intermediate was determined with allowable daily intake, solubility, and sweetness as the limiting conditions, which was 40 mg hydroxypropyl β-cyclodextrin, 180 mg trehalose, and 1.5 mg acesulfame potassium. Compared with the Xiaoer Qingrening Granule, the sensory evaluation score of the optimal taste formula was increased by 37.5 points. In conclusion, this study achieved the taste improvement of Xiaoer Qingrening Granule and formed a set of taste improvement strategies including the identification of taste critical quality attribute, the selection of the type and dosage of corrigent, and the optimization of taste formula, which provided a thought reference for the taste improvement of other oral preparations and a new perspective for quality control of intelligent manufacturing of traditional Chinese medicines.

To identify the bitter compounds of real-world Xiaoer Ganmao Oral Liquid sugar-free intermediates, an integrated strategy has been developed by using ultra-high performance liquid chromatography with linear ion trap-Orbitrap mass spectrometry (UHPLC-LTQ-Orbitrap MSⁿ) method and BitterX database prediction. The chromatographic operating conditions were as follows, chromatographic column: Acquity UPLC BEH C₁₈ (100 mm × 2.1 mm, 1.7 μm), mobile phase: 0.1% formic acid-water solution (A)-acetonitrile (B) with gradient elution. The data were collected in positive and negative ion modes, respectively. The accurate molecular mass and structural information of the target compounds were obtained based on quasi-molecular ions and fragmentation ions provided by high-resolution mass spectrometry. The compounds were identified by combining retention time, reference substances, reports, and other relevant data, and a total of 57 constituents including flavonoids, alkaloids, and phenylpropanoids were finally identified. Further, the BitterX database was used to predict binding probability of compounds to bitter receptors and identify potential bitter critical quality attributes, finally 33 potential bitter compounds, including kukoamine A and linarin, were predicted. This study comprehensively characterized the material basis of Xiaoer Ganmao Oral Liquid sugar-free intermediates, it provides an effective method for bitter compound screening and a reference for further improving the undesirable taste of Xiaoer Ganmao Oral Liquid.

Aiming at the hysteresis and destructiveness of off-line static detection of critical quality attribute of the moisture content of the raw material unit of the traditional Chinese medicine manufacturing process, honey-processed Tussilago farfara, honey-processed Astragalus and honey-processed Glycyrrhiza uralensis were used as the research carriers, and the drying method was used to measure the moisture content as a reference value. The moving stage was used to simulate the movement process of samples on the conveyor belt in the actual on-site production process, and near-infrared (NIR) spectra were collected, combined with machine learning, to establish NIR on-site dynamic detection model of moisture content in multi-variety honey-processed Chinese herbal slice. The results show that the second derivative method is used to preprocess the spectrum. The number of decision trees (ntree), the number of random features (max feature), and the minimum number of samples for generating leaf nodes (node size) are selected: 46, 76, and 8, respectively. The quantitative analysis model of moisture content has the best effect. The prediction coefficient of determination (the prediction coefficient of determination, R_pre²) and the root mean square error of prediction (root mean square error of prediction, RMSEP) of the model were 0.903 2 and 0.330 2, respectively. The NIR quantitative model for the moisture content of multi-variety honey-processed Chinese herbal slice established in this study has good predictive performance, and can achieve rapid, accurate and non-destructive quantitative analysis of the moisture content of honey-processed Tussilago farfara, honey-processed Astragalus and honey-processed Glycyrrhiza uralensis at the same time, and provides a method for determining the moisture content of honey-processed Chinese herbal slice of the raw material unit of the traditional Chinese medicine manufacturing process.

The modernization and development of traditional Chinese medicine has led to higher standards for the quality of traditional Chinese medicine products. The extraction process is a crucial component of traditional Chinese medicine production, and it directly impacts the final quality of the product. However, the currently relied upon methods for quality assurance of the extraction process, such as simple wet chemical analysis, have several limitations, including time consumption and labor intensity, and do not offer precise control of the extraction process. As a result, there is significant value in incorporating near-infrared spectroscopy (NIRS) in the production process of traditional Chinese medicine to improve the quality control of the final products. In this study, we focused on the extraction process of Xiao'er Xiaoji Zhike oral liquid (XXZOL), using near-infrared spectra collected by both a Fourier transform near-infrared spectrometer and a portable near-infrared spectrometer. We used the concentration of synephrine, a quality control index component specified by the pharmacopoeia, to achieve rapid and accurate detection in the extraction process. Moreover, we developed a model transfer method to facilitate the transfer of models between the two types of near-infrared spectrometers (analytical grade and portable), thus resolving the low resolution, poor performance, and insufficient prediction accuracy issues of portable instruments. Our findings enable the rapid screening and quality analysis of XXZOL onsite, which is significant for quality monitoring during the traditional Chinese medicine production process.

A simulating method for dripping process of Ginkgo biloba leaf dripping pills based on computational fluid dynamics was constructed. Ginkgo biloba leaf dripping pills was explored as the experimental subject to simulate the dripping process based on FLOW-3D software. The dripping process was simulated through the derivation of the governing equations, the selection of the models, and simulation parameters. Firstly, the droplet morphologies and drop speeds under different liquid viscosity were simulated. It was found that with the increase of the liquid viscosity, the drop speed decreased and the difficulty of droplet preparation gradually increased. The simulation results were consistent with the experiment results. Secondly, the droplet morphologies at different drop speeds were investigated and verified by experiments. It was found that the simulation results had a good correlation with the experiment results. The results shown that the viscosity of the liquid was the critical material attribute, and the drop speed was the critical process parameter, according to the droplet morphology. The establishment of the simulation method can deepen the understanding of the dripping process and provide a reference for the selection of raw materials and process parameters.

At present, the digitalization and intelligence level of dripping pills production process is low, and there is a lack of process monitoring methods, which makes it difficult to effectively control the quality of dripping pills. Therefore, this paper proposed an online monitoring method for the dripping process of dripping pills based on laser detection technology and multivariate data analysis (MVDA) technology. Firstly, the width data of the falling droplets during the dripping process of the dripping pills were collected by the laser detector at a high frequency. Secondly, based on the width data, the nodes were selected for each droplet and the features were extracted. Then, the principal component analysis (PCA) model was established based on the feature dataset under normal process conditions, and Hotelling's T² or DModX statistic was selected to determine whether the droplets in the dripping process were abnormal, and the abnormalities were classified and diagnosed by the principal component score map combined with K-nearest neighbor (KNN) algorithm. In this study, the feasibility of this method was investigated by taking the dripping process of Ginkgo biloba leaf dripping pills as an example. The results showed that the obtained model has good detection and diagnosis ability for abnormal valve opening, abnormal liquid temperature, and abnormal liquid volume. This method can provide some reference for the industrial production of dripping pills.

This study focuses on the microbial quality control of the Chinese herbal decoction pieces. In view of the shortcomings of traditional culture methods such as slow detection speed and inability to detect unculturable microorganisms, a new method based on ATP bioluminescence technology combined with statistical analysis methods was established to rapidly predict and quantitatively detect the total aerobic microbial count (TAMC) and total yeast and mold count (TYMC) contaminated Bupleurum chinense DC. decoction pieces. Based on the optimized ATP bioluminesence detection system, accurate detection of pure bacterial solution of Escherichia coli, Bacillus subtilis and Staphylococcus aureus can be achieved, with detection limits of 47.86, 89.13 and 1 862.09 CFU·mL^-1, respectively. The detection time was 6.5 h, and the detection cost was as low as 2 yuan/time. The upper and lower warning limits of TAMC were determined by the misjudgment rates of 10% and 20%, respectively. And the warning limit of TYMC was determined by the misjudgment rate of 20%. The proposed crossing method could quickly predict the amount of microbial contamination in Bupleurum chinense DC. decoction pieces. The constructed partial least squares regression (PLSR) model could accurately quantify the quantity of microbial contamination in Bupleurum chinense DC. decoction pieces. The optimal PLSR prediction model for TAMC had a correction coefficient (R²) of 0.826, a root mean square error of correction set (RMSE_E) of 0.468 and a root mean square error of cross-validation set (RMSE_CV) of 0.465. The R², RMSE_E and RMSE_CV in the prediction model of TYMC were 0.778, 0.543 and 0.541, respectively. The aim of this study is to establish a kind of rapid detection method and prediction models for the microbial limit of traditional Chinese medicine and Chinese herbal decoction pieces, and to provide a more convenient and sensitive detection technology for the microbial quality process control of traditional Chinese medicine products.

Artificial intelligence-aided drug discovery (AIDD) is a new version of computer-aided drug discovery (CADD). AIDD is featured in significantly promoting the performance of conventional CADD. AI markedly enhances the learning ability of CADD. In the 1960s, CADD was established from conventional QSAR approaches, which mainly used regression approaches to derive substructure-activity relationship for compounds with a common scaffold, and guide drug molecular design, figure out the binding features of drugs, and identify potential drug targets. Since the 1990s, structural biology has provided three-dimensional structures of drug targets, enabling drug discovery based on target structure (SBDD), fragment-based drug discovery (FBDD), and structure-based virtual screening (SBVS) with CADD approaches. In the past 30 years, many first in class (FIC) and best in class (BIC) drugs were discovered with CADD. Now, AIDD will further revolutionize CADD by reducing human interventions and mining big chemical and biological data. It is expected that AIDD will significantly enhance the abilities of CADD, virtual screening and drug target identification. This article tries to provide perspectives of CADD and AIDD in medicinal chemistry with case studies.

Psoriasis is a chronic, recurrent, and inflammatory skin disease induced by multiple factors. Its typical clinical manifestation is scaly erythema or plaques, which can cause various complications such as metabolic syndrome, cardiovascular disease, and inflammatory arthritis, seriously affecting the quality of life of patients. A deep understanding of the pathogenesis of psoriasis is helpful to discover new therapeutic targets and develop effective new therapeutic drugs, thus having important clinical significance. This manuscript reviews the new advances in the pathogenesis and drug research of psoriasis in recent years.

Dihydrofolate reductase (DHFR) is a well-known key target in the treatment of tumors, bacterial infections, and parasitic infections; and it plays a critical role in the biosynthesis of cellular DNA. DHFR inhibitors interfere with one-carbon metabolism by inhibiting substrate binding to DHFR, thereby inhibiting cell proliferation. Research on DHFR inhibitors has continued since the 1940s. To date, a variety of DHFR inhibitors have come into the market, primarily used for anti-tumor, antibacterial, antiparasitic, and anti-inflammatory therapy. This review summarizes the research progress of DHFR inhibitors with antitumor or antibacterial effects in recent years based on the classification of single-target and dual-target and looks forward to the opportunities and challenges faced by the work in this field.

Pulmonary fibrosis is an interstitial lung disease characterized by inflammatory injury and tissue structure destruction. Currently, there is a lack of effective therapeutic drugs for pulmonary fibrosis, and the mechanism is still unknown. Therefore, it is urgent to seek new targets for effective drugs. In pulmonary fibrosis, the level of autotaxin (ATX) in bronchoalveolar lavage fluid increases and stimulates the production of lysophosphatidic acid (LPA). The involvement of LPA receptors in activating a variety of G-protein-mediated signal transduction pathways leads to a range of related physiological effects, including pro-inflammatory signaling in epithelial cells, activation of transforming growth factor signaling, and stimulation of fibroblast accumulation. LPA receptor antagonists and ATX inhibitors have been concerned as new targets for pulmonary fiber therapy, and currently related drugs have entered clinical trials. In this paper, the pathophysiological effects of LPA and ATX in pulmonary fibrosis disease and related drug development progress were reviewed to provide reference information of new drug development for pulmonary fibrosis based on the ATX-LPA axis.

Inositol requiring enzyme 1 alpha (IRE1α), a widespread transmembrane protein in mammals, is an endoplasmic reticulum stress (ER stress) receptor. Among the three signaling pathways of the unfolded protein response (UPR), the IRE1α pathway is the most conservative. And there is a growing body of evidence that the occurrence and development of tumors is closely related to the over-expression of IRE1α. Therefore, the study of the IRE1α inhibitors is of great significance to the discovery of new anti-tumor drugs and has been attracting more and more attention. In the hope of providing ideas for the research of targeting IRE1α for cancer therapy, this paper reviewed the data of representative IRE1α inhibitors, including inhibitory activity, the mechanism of action, structural characteristics, and so on.

Hepatitis B virus (HBV) represents a significant global public health challenge. Despite the availability of several approved drugs for hepatitis B treatment, the persistence of covalently closed circular DNA (cccDNA) renders HBV eradication elusive, thereby leading to disease relapse after drug withdrawal. This paper reviews the regulatory mechanisms of cccDNA formation, transcription and replication, and summarizes the research progress of related small molecule regulators from the perspective of medicinal chemistry.

Currently, the resistance of first-line anti-tuberculosis drugs has made the prevention and treatment of tuberculosis increasingly difficult, posing a serious threat to global public health. Several studies have shown that efflux pumps are one of the important causes for bacteria to develop multi-drug resistance and extremely-drug resistance, and efflux pump inhibitors can inhibit the efflux of antibacterial drugs, thereby reducing bacterial drug resistance. Numerous natural products and synthetic compounds have been reported to possess efflux pump inhibitory activity, but they have not been applied in clinical settings because of their toxicity, pharmacokinetic properties, etc. Therefore, we summarized the efflux pump inhibitory activity, antimicrobial activity, and structure-activity relationships of reported efflux pump inhibitors against Mycobacterium tuberculosis in recent years, providing references for the development of new efflux pump inhibitors with better activity and lower toxicity.

Cancer is the most important leading cause of death worldwide, with about 10 million deaths caused by cancer in 2020. In situ gel drug delivery systems have attracted much attention in the field of pharmacy and biotechnology due to their good histo-compatibility, excellent injectability, high drug delivery capacity, slow-release drug delivery, and less influence by the in vivo environment. Meanwhile, in situ gel can be combined with chemotherapy, photo-thermal therapy, chemokinetic therapy, immunotherapy and so on to deliver drugs into the tumor site in a less invasive way without surgical operation, forming a semi-solid gel reservoir in the tumor site to realize in situ tumor combined therapy. In this paper, the author summarized the research progress of anti-tumor in situ gel delivery system in the past 10 years, introduced its commonly used polymer materials, classification principles and specific application examples, and finally summarized and discussed the key issues, in order to provide reference for the development of new anti-tumor drug delivery system in the future.

Xanthine oxidoreductase (XOR), the key enzyme catalyzing purine to produce uric acid, including two subtypes, xanthine dehydrogenase (XDH) and xanthine oxidase (XO), respectively, in vivo. Usually, XDH and XO can transform to each other. In this study, based on the principle that the subtype XO or XDH uses different electron acceptors, the methods for the measuring the activities of bovine milk XOR (pure enzyme) and its subtypes were established. The optimal concentrations of substrate xanthine (50 μmol·L^-1) and electron acceptor NAD⁺ (50 μmol·L^-1), pH value (7.80) were investigated. The ranges of the XOR, XO, XDH activity which could be determined were 0.97-17.5 U·L^-1, 1-9 U·L^-1, and 66-1 191 mU·L^-1, respectively. Furthermore, the methods for determining the activities of XOR and its subtypes in mouse liver were established. The preparation of liver samples, the optimal concentrations of xanthine (100 μmol·L^-1) and NAD⁺ (100 μmol·L^-1) were researched. And the activity ranges of XOR, XO and XDH in mouse liver which could be determined were 0.67-3.98, 0.19-1.08, and 0.52-3.55 U·gprot^-1, respectively. With the methods above, the effects of classic XOR inhibitor allopurinal (Allo) on XOR, XO and XDH from both milk and mouse liver were determined. All animal experiments have been approved by the Animal Experimental Center, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College (00003346). This study established new methods for the determination of XOR and its subtypes activity in pure enzyme system and in mouse liver, respectively, which were accurate and convenient. It laid the experimental foundation for exploring the different pathophysiological effects of XOR in the body and developing new XOR inhibitors.

The aim of this study was to investigate the role and mechanism of terpinen-4-ol (T4O) on high glucose (HG) -induced calcification in vascular smooth muscle cell (VSMC). To investigate the role of T4O on HG-induced calcium deposition, osteogenic phenotypic transformation and mitochondrial dynamics in VSMC, Mdivi-1, a mitochondrial dynamin-related protein 1 (Drp-1) inhibitor, was used to analyze the correlation between mitochondrial dynamics and VSMC calcification and the role of T4O. Alizarin red S staining was used to observe calcium salt deposition and flow cytometry to detect intracellular Ca²⁺ content; Western blot and immunofluorescence were used to detect the expression of phenotypic switching-related markers α-smooth muscle actin (α-SMA), bone morphogenetic protein 2 (BMP2) and Runt related transcription factor 2 (Runx2), and mitochondrial dynamics-related markers mitofusin 1 (MFN1), mitofusin 2 (MFN2) and Drp-1. The results showed that low and high doses of T4O could inhibit HG-induced down-regulation of α-SMA, MFN1 and MFN2 expression levels, and up-regulation of BMP2, Runx2 and Drp-1 expression levels, reduce intracellular Ca²⁺ content and calcium salt deposition, and effectively inhibit HG-induced VSMC calcification and mitochondrial dynamics disorders. The T4O group, Mdivi-1 group and T4O+Mdivi-1 group were able to up-regulate the expression levels of HG-induced α-SMA, MFN1 and MFN2, down-regulate the protein expression levels of BMP2, Runx2 and Drp-1, and inhibit calcium salt deposition, and there was no significant difference between the above indexes in the T4O and T4O+Mdivi-1 groups. The above findings suggest that T4O can inhibit the expression level of Drp-1, regulate the disturbance of mitochondrial dynamics, and suppress HG-induced VSMC calcification.

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.

In this study, we investigated the effect of Cigu Xiaozhi formula on HSC-T6 activity in hypoxic microenvironment based on network pharmacology and computer-aided drug design, and predicted and verified its possible targets and related signaling pathways. The potential active components and targets of Cigu Xiaozhi formula were screened by searching Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), Encyclopaedia of Traditional Chinese Medicine (ETCM) and Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine (BATMAN-TCM) databases, and the liver fibrosis related targets retrieved from Gene Cards and Pharm GK database were integrated to obtain the potential targets of Cigu Xiaozhi formula in the treatment of liver fibrosis. GO enrichment analysis and KEGG signaling pathway enrichment analysis were performed on Omic Share platform, and Cytoscape software was used to construct the "potential active ingredient-key target-pathway" network. The active components and target proteins were subjected to molecular docking analysis by Auto Dock software. According to the results of molecular dynamics simulation and binding free energy calculation, the top 5 active components with degree were scored. The active components stigmasterol and β-sitosterol were subjected to molecular docking. CoCl₂ was used to induce HSC-T6 cells to construct hypoxia model in vitro. The cell viability was detected by CCK-8 assay, and the optimal time and concentration of hypoxia model of HSC-T6 cells was determined to be 100 µmol·L^-1 CoCl₂ for 24 h. Under hypoxia condition, HSC-T6 cells were activated, the wound healing rate was significantly increased, and the fluorescence signal of activation marker protein α-smooth muscle actin (α-SMA) was significantly enhanced. However, 6% drug-containing serum could inhibit the activation of HSC-T6 cells, and the wound healing rate was significantly decreased, and the fluorescence signal of α-SMA was significantly weakened. Further studies showed that the expressions of hypoxia-inducible factor-1α (HIF-1α), α-SMA and key proteins of Hedgehog (Hh) signaling pathway in HSC-T6 cells were up-regulated under hypoxia, while the expressions of HIF-1α, α-SMA, Patched-1 (Ptch-1) and glioma related oncogene homology-1 (Gli-1) were down-regulated in 6% drug-containing serum group, the YC-1 group and the cyclopamine group. These results indicated that HIF-1α and Hh signaling pathways were involved in the activation of HSC-T6 cells, and the traditional Chinese medicine Cigu Xiaozhi formula could inhibit the activation of HSC-T6 cells, and the mechanism may be related to the inhibition of HIF-1α expression and the blocking of Hh signaling pathway. In conclusion, Cigu Xiaozhi formula can inhibit the activation of HSC-T6 cells by directly acting on HIF-1α and Hh signaling pathway, and exert an anti-hepatic fibrosis effect. The animal experimental protocol has been reviewed and approved by Laboratory Animal Ethics Committee of Gansu University of Chinese Medicine, in compliance with the Institutional Animal Care Guidelines.

The Ca²⁺-activated monovalent cation selective transient receptor potential melastatin 4 (TRPM4) channel expressed in pancreatic β-cells is implicated in the β-cell function and insulin secretion, but how pharmacological function of TRPM4 channel affects membrane excitability of β-cells remains largely unknown. Here, we report that pharmacological inhibition of TRPM4 by specific inhibitor 9-phenanthrol attenuates electrical activities of pancreatic β-cells. In whole-cell current clamp recordings, 9-phenanthrol results in inhibition of action potential frequency induced by tolbutamide of the INS-1 pancreatic β-cells in a dose-dependent manner with an IC₅₀ value of 14.99 ± 7.93 μmol·L^-1. Similarly, 9-phenanthrol also inhibited action potential firing in INS-1 cells stimulated by current injection. Further recordings of β-cells demonstrate the significant inhibitory effects on action potential peak and action potential amplitude by 9-phenanthrol. Taken together, our results show the involvement of TRPM4 channel function in pancreatic β-cells depolarization and action potential, it provides pharmacological experimental methods and theoretical support for the study of TRPM4 channel in pancreatic β-cells.

Eight compounds were isolated from the ethyl acetate fraction of the 80% aqueous ethanol extract of the roots and stems of Rubus pirifolius Smith by AB-8 macroporous resin, silica gel, ODS, Sephadex LH-20 column chromatography, and semi-preparative HPLC. Their structures were identified by spectral analysis such as 1D/2D NMR, MS, UV, IR and by comparison with literature information as rubussecotriterpene A (1), rubussecotriterpene B (2), cecropiacic acid (3), cecropiacic acid 3-methyl ester (4), alphitolic acid (5), betulinic acid (6), betulin (7), and obtusalin (8). Compounds 1 and 2 are new compounds, and compounds 3-8 were isolated from this plant for the first time.

To discover new structural hits, based on the important role of pyrazole ring and fragment of pyridinone carboxylic acid in drug design, novel title pyrazolo[3,4-b]pyridine-4-one-5-carboxylic acid derivatives (10a-10p) were designed and synthesized, the structures were confirmed by spectral data and elemental analyses. The antibacterial and antitumor activities were evaluated by the measured minimum inhibitory concentration (MIC) values against the tested four strains and half inhibitory concentration (IC₅₀) values against the tested four cancer cells, respectively. The results displayed markedly poor antibacterial activity and observably potent antitumor activity. In particularly, the title difluorophenyl (10d, 10e, 10f), pyridyl (10j), ethyl (10k) and cycloproyl (10l) compounds exhibited comparable activity against Capan-1 and A549 cells to that of the comparison doxorubicin. Thus, pyrazolo[3,4-b]pyridine-4-one-5-carboxylic acid derivatives as promising antitumor hits need to be developed.

Seven compounds were isolated from fermentation extract of cave-derived Metarhizium anisopliae NHC-M3-2 by silica gel, semi-preparative HPLC and other chromatographic methods. Their structures were elucidated by UV, IR, MS and NMR methods as 2,3-dehydroindigotide G (1), (-)-regiolone (2), naphtho-γ-pyrone (3), indigotide G (4), indigotide B (5) destruxin A (6) and destruxin B (7). Compound 1 is a new glycoside naphthopyranone compound. The anti-hepatitis B virus (HBV) activity of these compounds was evaluated. The EC₅₀ and CC₅₀ of compound 3 against HBV were 4.5 μmol·L^-1 and 92.3 μmol·L^-1, respectively. This is the first report of the antiviral activity of compound 3.

An LC-MS method with natural isotope abundance correction and a ¹H NMR relative quantitative method were established to determine the deuterium incorporation of donafenib tosilate, a new deuterated drug molecule. First, the peak areas of isotopic impurities (non-deuterated and incompletely deuterated impurities) and deuterated drug were recorded through the single ion monitoring (SIM) mode of the established LC-MS method and then corrected in terms of the natural isotope abundance offered by ChemDraw soft, removing the nature isotope interference from ¹³C, ³⁷Cl, etc. The corrected areas were subsequently used to calculate mol% of isotopologues (D₀, D₁, D₂, D₃) and Atom% D, namely, deuterium incorporation. In addition, a ¹H qNMR experiment was conducted with the aromatic proton at δ 8.63 and the residual proton of isotopic impurities at δ 2.79 as quantitative peaks. The mixture of DMSO-d₆ and D₂O (10∶1) was employed as the solvent to change the spin-coupling between the residual proton and active hydrogen so that the residual proton could be measured as the single peak, and the sensitivity was greatly improved. The acquisition parameters were also optimized, and Atom% ¹H and the deuterium incorporation were then calculated. The two methods were applied to samples of three commercial batches, and the testing results were almost consistent. Both methods proved accurate, sensitive, fast and independent of standard substances and accurate weighing, which could be applied to the determination of the deuterium incorporation of donafenib tosilate and provide a reference for other deuterated drugs.

Sophorae Flavescentis Radix is the dried root of Sophora flavescens Ait. and Sophorae Tonkinensis Radix et Rhizoma is the dried root and rhizome of Sophora tonkinensis Gagnep. The two drugs are both from the same genus Sophora, having similar and different compositions and efficacies, however, their differences are not fully demonstrated in current standard. In this study, the high-performance thin-layer chromatography with multi-dimensional and multi-level features combined with electric spray mass spectrometry (HPTLC-ESI-MS) was used to discover and identify the characteristic zones in extracts of Sophorae Flavescentis Radix and Sophorae Tonkinensis Radix et Rhizoma, after optimizing the preparation method of the test solution and chromatographic parameters. As a result, 17 main characteristic zones were found on HPTLC chromatograms of Sophorae Flavescentis Radix and Sophorae Tonkinensis Radix et Rhizoma, among them, besides 3 known chemicals, another 12 unknown components were identified by HPTLC-ESI-MS, they are 1 alkaloid and 11 flavonoids. The identification results were verified by the reference standards partially and nuclear magnetic resonance spectra after guided-isolation. Finally, a unified HPTLC specific identification method with different markers was established to identify Sophorae Flavescentis Radix and Sophorae Tonkinensis Radix et Rhizoma simultaneously. Thanks to abundant chemical information provided when using diverse polarity mobile phases and derivatization reagents, the HPTLC technology offers a convenient strategy for discovery, quality evaluation, and identification of target chemicals when connecting with mass spectrometry.

Taking berberine (BBR) as an example, to study whether the supramolecular hydrogel formed by berberine and lotus root starch (Nelumbo nucifera Gaertn; LRS), a natural polysaccharide, affects the inhibition to Staphylococcus aureus and the ability of biofilm clearance. The chemical structure and rheological properties of BBR@LRS gel were characterized by infrared spectroscopy and rheometer. The in vitro release of supramolecular hydrogel was observed at pH = 1.2 and pH = 7.4. Broth dilution method and biofilm clearence experiment were used to observe the bacteriostasis and biofilm clearance respectively. Cytotoxicity test and in vitro hemolysis test were used to evaluate the biosafety preliminarily. The results showed that the LRS polysaccharide hydrogel could encapsulate BBR, and there was an interaction between them. The BBR@LRS gel had good rheological properties and biosafety, and played a role in solubility enhancement and slow release of BBR, which was stronger than BBR in inhibiting the growth of Staphylococcus aureus and clearing biofilm. This study provides reference for the effect of natural polysaccharide supramolecular hydrogels on biological functions of active components of traditional Chinese medicine.

Based on the dual needs of analgesia and anti-inflammation in trauma treatment, this study uses acetaminophen and moxifloxacin hydrochloride as active pharmaceutical ingredients and develops a composite bilayer tablet with a dual-phase drug release system by using binder jet 3D printing technology. Due to the complexity of the 3D printing process, there is an interaction between the various parameters. Through the optimization of the process, the relationship between the key process parameters can be determined more intuitively. In this study, the process of extended-release tablets was optimized to maintain the mechanical properties of the tablets while realizing the regulation of release. The full-factor experimental design of three central points 2³ was used to analyze the factors that significantly affect the quality attributes of extended-release tablets and the interaction between factors. The optimal extended-release process parameters were obtained by the response optimizer: the inkjet quantity of the printing ink was 10 (about 13.8 pL), the powder thickness was 180 μm, and the running speed was 360 mm·s^-1. The in vitro of release of 3D printed composite bilayer tablets showed that the in vitro of release of 3D printed tablets and commercially available tablets conformed to the Ritger-Peppas release model. The results of porosity showed that the immediate-release layer of the preparation has many pores and large pore size, and the dissolution of the immediate release layer within 15 min was greater than 85%. The internal pore size of the extended release layer is large, but it can still release slowly for up to 8 h, the mechanism may be related to the extended release of HPMC gelation. On the basis of verifying the rationality of the design goal of 3D printed composite bilayer tablets, this study also provides a theoretical basis for the preparation of 3D printing complex preparations.

The polymorphism and thermostability of nirmatrelvir, the main antiviral component of the oral COVID-19 treatment drug, were studied. Four polymorphs of nirmatrelvir were prepared by recrystallization methods. Among them, Form 1 and nirmatrelvir methyl tert-butyl ether solvate (Form 2) had been reported in the literature, while nirmatrelvir isobutyl acetate solvate (NMTW-IBAC) and nirmatrelvir ethyl acetate solvate (NMTW-EA) are two new solvates. The crystal structures were characterized by single-crystal X-ray diffraction, powder X-ray diffraction, thermogravimetric analysis and differential scanning calorimetry. The thermostability of polymorphism and crystalline transformation were also investigated by combining Hirshfeld surface analysis and interaction energy analysis. The results showed that nirmatrelvir Form 1 belongs orthorhombic crystal system with the space group P2₁2₁2₁ and one nirmatrelvir molecule included in the asymmetric unit, which has the same crystal structure as nirmatrelvir Form 4 reported in the literature. Owing to its larger thermal expansion, the differences in crystallographic parameters obtained at different temperatures were found between Form 1 and Form 4. Three solvates of nirmatrelvir belonged to the iso-structural with monoclinic crystal system and the space group P2₁, in which the asymmetric unit contains one nirmatrelvir molecule and one solvent molecule. The thermal analysis results showed that nirmatrelvir Form 1 was a solvent-free crystal form with the best thermal stability and the strongest intermolecular hydrogen bonding. Among the three solvates, NMTW-EA has the worst thermal stability and the weakest hydrogen bonding interaction between the nirmatrelvir molecule and the solvent molecule. The energy framework of nirmatrelvir solvates showed that the closer the arrangement between solvent and nirmatrelvir molecules, the greater the total interaction energy between solvent and nirmatrelvir molecules. The phase transition studies of the three solvates showed that NMTW-IBAC and NMTW-EA were transformed into amorphous after desolvation, respectively, while Form 2 undergoes oiling during desolvation. The research provides theoretical guidance for the analysis, identification and quality control of nirmatrelvir polymorphs.

Cytochrome P450 (CYP450) is a kind of superfamily oxidase containing heme, which is distributed in various aerobic organisms. They are widely involved in the biosynthesis of terpenoids, alkaloids, flavonoids, fatty acids, etc. In this study, the full-length cDNA sequence of a P450 was cloned by reverse transcription-PCR (RT-PCR) and rapid amplification of cDNA ends (RACE) technology, with the specific primers that designed according to the sequence of a transcript annotated as P450 from the Aquilaria sinensis (Lour.) Gilg transcriptome database. The tissue expression and subcellular localization were also studied. The full-length cDNA of the cloned P450 gene is 1 920 bp, with 88 bp 5′-untranslated region (UTR), 344 bp 3′-UTR and a 21 bp polyA tail, and 1 488 bp open reading frame (ORF), encoding 495 amino acids. Sequence alignment revealed that the protein belonged to CYP71D family of cytochrome P450 family, and named AsCYP71D1. Tissue expression analysis indicated that AsCYP71D1 was mainly expressed in stem. Further subcellular localization of onion epidermis showed that AsCYP71D1 was expressed in cytoplasm, nucleus and cell membrane. This study will provide a foundation for further research on its function in agarwood sesquiterpene biosynthesis.

Analyze the changes in gene expression profiles during the process of Panax ginseng seed dormancy release, and screen for differential genes, providing a basis for analyzing the mechanism of P. ginseng seed dormancy release. Comparative transcriptome analysis was conducted by using RNA-Seq sequencing technology in P. ginseng seeds stored at different low temperature. A total of 80.97 Gb of Raw reads and 80.19 Gb of Clean reads were obtained from the transcriptome. Principal component analysis and correlation analysis showed that there were significant differences in gene expression patterns at different developmental stages. Upset results showed that 46 248 unigenes were co-expressed in four stages, and 414, 445, 400 and 389 unigenes were specifically expressed in 0, 8, 14 and 28 days, respectively. Gene Ontology functional annotation showed that the differentially expressed genes were mainly involved in nsaturated fatty acid biosynthetic process, nuclear body and oxidoreductase activity. Encyclopedia of Genes and Genomes metabolic pathway showed that differentially expressed genes were mainly involved in peroxisome, mitogen-activated protein kinase signaling pathway-plant, plant hormone signal transduction, ribosome, biosynthesis of unsaturated fatty acid, circadian rhythm-plant and other metabolic pathways. In the process of P. ginseng seed dormancy release, multiple biological processes, such as unsaturated fatty acid biosynthesis and plant hormone signal transduction, are required to coordinate regulation, which constitutes a complex dormancy release regulation network. Transcriptome analysis and differential gene screening of P. ginseng seeds at different sand storage time laid a foundation for the analysis of P. ginseng seed dormancy release mechanism and molecular breeding.

In the study, specific primers were designed based on the CO Ⅰ gene sequence of Polyrhachis dives. By optimizing the genomic DNA extraction method and amplification conditions, we established an efficient, specific, and accurate DNA molecular identification method for Polyrhachis dives. In this method, the length of the target fragment was 294-308 bp, and the other counterfeits had no target bands. In this paper, the specific identification method of the origin of Polyrhachis dives established can be used to identify the medicinal materials of Polyrhachis dives accurately.