Recent clinical studies have shown that mutation of phosphatase and tensin homolog deleted on chromosome 10 (PTEN) gene in cancer cells may be associated with immunosuppressive tumor microenvironment (TME) and poor response to immune checkpoint blockade (ICB) therapy. Therefore, efficiently restoring PTEN gene expression in cancer cells is critical to improving the responding rate to ICB therapy. Here, we screened an adeno-associated virus (AAV) capsid for efficient PTEN gene delivery into B16F10 tumor cells. We demonstrated that intratumorally injected AAV6-PTEN successfully restored the tumor cell PTEN gene expression and effectively inhibited tumor progression by inducing tumor cell immunogenic cell death (ICD) and increasing immune cell infiltration. Moreover, we developed an anti-PD-1 loaded phospholipid-based phase separation gel (PPSG), which formed an in situ depot and sustainably release anti-PD-1 drugs within 42 days in vivo. In order to effectively inhibit the recurrence of melanoma, we further applied a triple therapy based on AAV6-PTEN, PPSG^@anti-PD-1 and CpG, and showed that this triple therapy strategy enhanced the synergistic antitumor immune effect and also induced robust immune memory, which completely rejected tumor recurrence. We anticipate that this triple therapy could be used as a new tumor combination therapy with stronger immune activation capacity and tumor inhibition efficacy.

Head and neck squamous cell carcinoma(HNSCC)is characterized by high recurrence or distant metastases rate and the prognosis is challenging.There is mounting evidence that tumor-infiltrating B cells(TIL-Bs)have a crucial,synergistic role in tumor control.However,little is known about the role TIL-Bs play in immune microenvironment and the way TIL-Bs affect the outcome of immune checkpoint blockade.Using single-cell RNA sequencing(scRNA-seq)data from the Gene Expression Omnibus(GEO)database,the study identified distinct gene expression patterns in TIL-Bs.HNSCC samples were categorized into TIL-Bs inhibition and TIL-Bs activation groups using unsupervised clustering.This classification was further validated with TCGA HNSCC data,correlating with patient prognosis,immune cell infiltration,and response to immunotherapy.We found that the B cells activation group exhibited a better prognosis,higher immune cell infiltration,and distinct immune checkpoint levels,including elevated PD-L1.A prognostic model was also developed and validated,highlighting four genes as potential biomarkers for predicting survival outcomes in HNSCC patients.Overall,this study provides a foundational approach for B cells-based tumor classification in HNSCC,offering insights into targeted treatment and immunotherapy strategies.

This study aimed to establish a method based on machine learning technology for accurately predicting the commodity specifications of Fritillariae Cirrhosae Bulbus and explore the application of data augmentation technology in the field of drug analysis. The correlation optimized warping(COW) algorithm was used to perform peak calibration on the UPLC-QDA multi-channel superimposed data of 30 batches of samples, and the data were normalized. Through unsupervised learning methods such as clustering analysis, principal component analysis(PCA), and correlation analysis, the general characteristics of the data were understood. Then, the logistic regression algorithm was used for supervised learning on the data, and the condition tabular generative adversarial networks(CTGAN) was used to generate a large amount of data. Logistic regression classification models were trained separately using the real data and the data generated by CTGAN, and these models were evaluated. The logistic regression model trained with real data achieved cross-validation and test set accuracies of 0.95 and 1.00, respectively, while the logistic regression model trained with both real and CTGAN-generated data achieved cross-validation and test set accuracies of 0.99 and 1.00, respectively. The results indicate that machine learning can accurately predict the classification of Songbei, Qingbei, and Lubeibased on UPLC-QDA detection data. CTGAN-generated data can partially compensate for the lack of data in drug analysis, improving the accuracy and predictive ability of machine learning models.
Drugs, Chinese Herbal ; Fritillaria ; Technology ; Machine Learning ; Plant Roots

Inductively coupled plasma mass spectrometry (ICP-MS) was applied to determine the concentrations of lead (Pb), cadmium (Cd) and arsenic (As) in Lindera aggregata (Sims) Kosterm. The physiologically based extraction test (PBET) digestion in vitro/Caco-2 cell model was established to investigate the bioaccessible contents of Pb, Cd and As in decoction of Lindera aggregata (Sims) Kosterm. The target-organ toxicity dose modification of HI method (TTD) was used to evaluate the cumulative risk caused by the combined exposure of the total levels of Pb, Cd and As in Lindera aggregata (Sims) Kosterm. and the bioaccessible contents in the decoction. The results showed that the total contents of Pb, Cd and As in 4 batches of samples were in the range of 2.901-3.872, 1.299-1.800 and 0.062-0.216 mg·kg^-1, respectively. After transportation by Cacco-2 cells, the bioaccessible contents of Pb, Cd, and As in the decoction were in the range of 0.045-0.080, 0.070-0.112 and 0.004-0.018 mg·kg^-1. The results of risk assessment showed that calculated by the total amounts of heavy metals in the Lindera aggregata (Sims) Kosterm., for the end points of nervous system, the cumulative risks of co-exposure of heavy metals in 3 batches of samples were of concern. After decoction and transportation by Caco-2 cells, for the end points of cardiovascular system, blood, nervous system, kidney and testis, the TTD modification of HI values of all batches of samples were less than 1, and the health risks were acceptable. The study provided methodology basis for a more objective assessment of the health risks of heavy metals and harmful elements in traditional Chinese medicine and for a more scientific limit standard of heavy metals and harmful elements.

Polysaccharides and free monosaccharides are important active components in Cistanches Herba, which have functions of anti-aging and immunological activity regulation. The study of monosaccharide composition in polysaccharide and free monosaccharide can lay a foundation for the study of primary structure, spatial structure of Cistanche polysaccharide and biological activity of Cistanches Herba. In this study, a method of water extraction and alcohol precipitation was used to extract Cistanche polysaccharide. Trifluoroacetic acid was selected as the hydrolytic acid for polysaccharide hydrolysis. An orthogonal experimental method is established. Three levels of acid concentration, hydrolysis temperature and hydrolysis time were selected to investigate the optimal hydrolysis condition. The optimal hydrolysis condition was 0.08 mol·L^-1 trifluoroacetic acid hydrolysis at 100 ℃ for 3 h. The free monosaccharides of Cistanches Herba were extracted by water extraction. The established ion chromatogram integrated pulsed amperometry method can efficiently separate 11 monosaccharides in a short time. The method has good repeatability and high sensitivity, methodological experiment results meet the requirements of quantitative determination. It can accurately determine the monosaccharide composition of Cistanche polysaccharide and free monosaccharide content. Ion chromatography does not require derivatization operation and the pre-treatment steps are simple. This method can measure fructose, but PMP derivation-HPLC method can't. The monosaccharide composition of Cistanche polysaccharide include fucose, arabinose, rhamnose-galactose, glucose, xylose, mannose, fructose, ribose and glucuronic acid, among which the contents of glucose and fructose are relatively high. The free monosaccharides in the water extract of Cistanches Herba include glucose, fructose and mannose.

Chinese patent medicine (CPM) is an important part of traditional and Chinese medicine (TCM). Its quality has direct impact on the safety and effectiveness of clinical use. The quality standard is the pivotal approach to guarantee the quality of CPM. Due to the complex material basis, multitudinous quality influencing factors and unveiled active ingredients, dose-effect relationship and action mechanism, the investigation on quality standard faces many difficulties. This paper surveys the current quality status of CPM and the general situation of CPM standards. At present, the dosing problem has the crucial impact on the quality of CPM. The current quality standard system of CPM is confirmed and the limitations are indicated. Based on the above analysis, the principles and considerations on investigation of quality standard are proposed as follows: ① Adhere to safety as the bottom line, strengthen the risk-control ability of the standard of CPM; ② Adhere to theory of TCM and comprehensive quality, improve the integrative control level of the CPM standard; ③ Emphasize technological development and innovation, promote the quality control competence of CPM standard; ④ Facilitate planning and coordination, optimize the management of the CPM standard system; ⑤ Reinforce investigation on evaluation method, develop grade evaluation standard, accelerate high-quality development of CPM. Finally, the future perspective on investigation of CPM quality standard is prospected.

Tanshinones are one of the main effective components of Salvia miltiorrhiza, which play important roles in the treatment of cardiovascular diseases. Microbial heterogony production of tanshinones can provide a large number of raw materials for the production of traditional Chinese medicine(TCM) preparations containing S. miltiorrhiza, reduce the extraction cost, and relieve the pressure of clinical medication. The biosynthetic pathway of tanshinones contains multiple P450 enzymes, and the catalytic element with high efficiency is the basis of microbial production of tanshinones. In this study, the protein modification of CYP76AK1, a key P450-C20 hydroxylase in tanshinone pathway, was researched. The protein modeling methods SWISS-MODEL, Robetta, and AlphaFold2 were used, and the protein model was analyzed to obtain the reliable protein structure. The semi-rational design of mutant protein was carried out by molecular docking and homologous alignment. The key amino acid sites affecting the oxidation activity of CYP76AK1 were identified by molecular docking. The function of the obtained mutations was studied with yeast expression system, and the CYP76AK1 mutations with continuous oxidation function to 11-hydroxysugiol were obtained. Four key amino acid sites that affected the oxidation acti-vity were analyzed, and the reliability of three protein modeling methods was analyzed according to the mutation results. The effective protein modification sites of CYP76AK1 were reported for the first time in this study, which provides a catalytic element for different oxidation activities at C20 site for the study of the synthetic biology of tanshinones and lays a foundation for the analysis of the conti-nuous oxidation mechanism of P450-C20 modification.
Oxidoreductases ; Biosynthetic Pathways ; Molecular Docking Simulation ; Reproducibility of Results ; Salvia miltiorrhiza/chemistry* ; Amino Acids/metabolism* ; Plant Roots/genetics*

The cis-emodin-emodin dianthrone (compound 1) and trans-emodin-emodin dianthrone (compound 2) were extracted from Polygonum multiflorum Thunb. The protective effect and mechanism of compound 1 and compound 2 (emodin-emodin dianthrones) on acute liver injury induced by concanavalin A (ConA) in ICR mice was first investigated. The results indicated that emodin-emodin dianthrones at 1 mg·kg^-1 significantly reduced serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) level (P < 0.05). Emodin-emodin dianthrones also improved liver histopathological damage in liver-injured mice. The level of Bcl-2-associated X protein (Bax) mRNA in liver was significantly reduced by 1 mg·kg^-1 of emodin-emodin dianthrones, while the level of B-cell lymphoma-2 (Bcl-2) mRNA expression was significantly increased (P < 0.05). The protective activity of compounds 1 and 2 against hepatocyte injury was further evaluated by hydrogen peroxide (H₂O₂)-induced hepatocyte injury. Compounds 1 and 2 significantly inhibited H₂O₂-induced hepatocyte injury and reduced the levels of ALT, AST, alkaline phosphatase (ALP), and lactate dehydrogenase (LDH) in cell culture. Compounds 1 and 2 also significantly improved the cell survival rate and decreased H₂O₂-induced oxidative stress in hepatocytes. Compound 1 (0.5 µmol·L^-1) significantly increased the enzymatic activity of superoxide dismutase (SOD) in hepatocytes (P < 0.01), and 0.5 µmol·L^-1 of compound 2 significantly decreased the intracellular reactive oxygen species (ROS), increased SOD enzyme activity, and glutathione (GSH) content (P < 0.01). Compounds 1 and 2 at 0.5 µmol·L^-1 also inhibited hepatocyte apoptosis by increasing the protein expression ratio of Bcl-2/Bax (P < 0.05) and decreasing the protein expression ratio of cleaved caspase-3 and pro caspase-3 (P < 0.05). This study indicates that the emodin-emodin dianthrones from Polygonum multiflorum Thunb. have liver-protective activity. Compounds 1 and 2 exerted hepatoprotective effects by inhibiting apoptosis and oxidative stress. The study provides an important material basis for the hepatoprotective effect of commonly used amounts of Polygonum multiflorum Thunb.

This study aims to explore the anti-depression mechanism of Zuojin Pills based on the plasma constituents, network pharmacology, and experimental verification. UHPLC-TOF-MS was used for qualitative analysis of Zuojin Pills-containing serum. Targets of the plasma constituents and the disease were retrieved from PharmMapper and GeneCards. Then the protein-protein interaction(PPI) network was constructed and core targets were screened for GO term enrichment and KEGG pathway enrichment. Cytoscape 3.7.2 was employed construct the "compound-target-pathway" network and the targets and signaling pathways of Zuojin Pills against depression were predicted. CUMS-induced depression mouse model was established to verify the key targets. The results showed that a total of 21 constituents migrating to blood of Zuojin Pills were identified, which were mainly alkaloids. A total of 155 common targets of the constituents and the disease and 67 core targets were screened out. KEGG enrichment and PPI network analysis showed that Zuojin Pills may play a role in the treatment of depression through AMPK/SIRT1, NLRP3, insulin and other targets and pathways. Furthermore, the results of animal experiments showed that Zuojin Pills could significantly improve the depression behaviors of depression, reduce the levels of IL-1β, IL-6 and TNF-α in hippocampus and serum, activate AMPK/SIRT1 signaling, and reduce the protein expression of NLRP3. In conclusion, Zuojin Pills may play a role in the treatment of depression by activating AMPK/SIRT1 signaling pathway, and inhibiting NLRP3 activation and neuroinflammation in the hippocampus of mice.
Animals ; Mice ; Network Pharmacology ; AMP-Activated Protein Kinases ; Chromatography, High Pressure Liquid ; NLR Family, Pyrin Domain-Containing 3 Protein ; Sirtuin 1 ; Drugs, Chinese Herbal/pharmacology* ; Molecular Docking Simulation

In this study, rapid evaporative ionization mass spectrometry(REIMS) fingerprints of 388 samples of roots of Pulsatilla chinensis(PC) and its common counterfeits, roots of P. cernua and roots of Anemone tomentosa were analyzed based on REIMS combined with machine learning. The samples were determined by REIMS through dry burning, and the REIMS data underwent cluster analysis, similarity analysis(SA), and principal component analysis(PCA). After dimensionality reduction by PCA, the data were analyzed by similarity analysis and self-organizating map(SOM), followed by modeling. The results indicated that the REIMS fingerprints of the samples showed the characteristics of variety differences and the SOM model could accurately distinguish PC, P. cernua, and A. tomentosa. REIMS combined with machine learning algorithm has a broad application prospect in the field of traditional Chinese medicine.
Medicine, Chinese Traditional ; Algorithms ; Anemone ; Machine Learning