ObjectiveTo identify the pathogen species responsible for the wilt disease of Tetradium ruticarpum in Chongqing， investigate there biological characteristics， and screen effective fungicides， so as to provide a theoretical basis for disease control in production. MethodsThe pathogen was isolated via the tissue culture method. Pathogenicity was verified according to Koch's postulates. The pathogen was identified based on morphological characteristics and multi-gene phylogenetic analysis. The mycelial growth rate method was used for biological characterization of the pathogen and fungicide screening. ResultsThe pathogen colonies were nearly circular with irregular edges， white， short， velvety aerial hyphae， and pale purple undersides. Macroconidia were colorless， sickle-shaped， with 3-5 septa， while microconidia were transparent， elliptical， aseptate or with 1-2 septa. Multi-gene phylogenetic analysis showed that the pathogen clustered in the same clade as Fusarium fujikuroi with 100% support， which， combined with morphological characteristics， identified the pathogen causing wilt of T. ruticarpum in Chongqing as F. fujikuroi. The optimal conditions for the mycelial growth of F. fujikuroi were mung bean agar （MBA） with glucose as the carbon source， beef extract and yeast powder as nitrogen sources， 28 ℃， pH 7.0， and alternating light/dark conditions. The optimal conditions for sporulation were potato dextrose agar （PDA） with glucose as the carbon source， beef extract as the nitrogen source， 28 ℃， pH 7.0， and complete darkness. Among chemical fungicides， phenazine-1-carboxylic acid exhibited the strongest inhibitory effect on F. fujikuroi. Shenqinmycin and tetramycin were the most effective bio-fungicides. ConclusionThis study is the first to report F. fujikuroi as the causal agent of wilt disease in T. rutaecarpa. The chemical fungicide phenazine-1-carboxylic acid and the bio-fungicides shenqinmycin and tetramycin showed strong inhibitory effects against F. fujikuroi.

ObjectiveBased on whole-animal mass spectrometry imaging technology， spatial metabolomics was used to characterize in situ the metabolic alteration patterns in the lungs and brain of a rat model of lung heat-induced cough and asthma， as well as after treatment with Xiebai San. MethodsNine Sprague-Dawley （SD） rats were randomly divided into a blank group （physiological saline）， a model group （physiological saline）， and a Xiebai San group （9 g·kg^-1）， with three rats in each group. The model group and the Xiebai San group were both induced using lipopolysaccharide-ovalbumin （LPS-OVA） to establish an asthma rat model. After treatment with Xiebai San， the animals were euthanized on day 21 and rapidly frozen in liquid nitrogen to preserve morphology. Whole-animal tissue sections were prepared using a cryomicrotome， and imaging was performed using the Air-flow-assisted Desorption Electrospray Ionization Mass Spectrometry Imaging （AFADESI-MSI） platform. Based on the corresponding optical images， ion data of metabolites from the lung and brain tissues of each group were extracted. Differential metabolites were analyzed using SIMCA and GraphPad Prism 9.0 software. Metabolites were identified using the HMDB （https：//hmdb.ca/） and LipidMAPS^® （https：//www.lipidmaps.org/） databases， and metabolic changes in the lungs and brain were analyzed. ResultsMass spectrometry imaging showed that， after Xiebai San intervention， components such as neoglycyrrhizin and glycyrrhizin from Glycyrrhizae Radix et Rhizoma， as well as palmitamide from Lycii Cortex， were significantly distributed in the lung and brain tissues of rats. Lung analysis indicated that substances with anti-inflammatory effects， such as citric acid， were significantly decreased （P0.01）， while lipid metabolites such as lysophosphatidylethanolamine （LPE 17：1）， LPE （22：4）， and LPE （19：0） （P0.01） were significantly increased， showing a marked inflammatory response in the model group. After Xiebai San intervention， these conditions were notably improved. Analysis of metabolic changes in brain tissue showed that， compared with the blank group， amino acid and fatty acid metabolic pathways in the model group exhibited restricted alterations. Among them， levels of aspartic acid， glutamic acid， fatty acid （FA 18：5）， hydroxy fatty acids （FAHFA 36：0；O）， FA （6：1；O6）， and LPE （18：1） increased， whereas FA （16：0） and FA （20：4） significantly decreased. Administration of Xiebai San improved these metabolic abnormalities in the brain. Systematic analysis of lung and brain metabolic changes in rats with lung heat-induced cough and asthma showed that antioxidant unsaturated phospholipid substances were significantly decreased in the model group， suggesting oxidative stress and inflammation-related lung-brain axis responses after the onset of lung heat-induced cough and asthma. ConclusionUsing whole-animal mass spectrometry imaging combined with spatial metabolomics revealed the in vivo distribution of Xiebai San constituents， characterized the metabolic alterations in the lungs and brain caused by lung heat-induced cough and asthma， and systematically demonstrated the lung-brain axis inflammatory responses and the regulatory effects of Xiebai San. These findings provide valuable information for the study of Chinese medicine in lung heat-induced cough and asthma.

ObjectiveBased on whole-animal mass spectrometry imaging technology， spatial metabolomics was used to characterize in situ the metabolic alteration patterns in the lungs and brain of a rat model of lung heat-induced cough and asthma， as well as after treatment with Xiebai San. MethodsNine Sprague-Dawley （SD） rats were randomly divided into a blank group （physiological saline）， a model group （physiological saline）， and a Xiebai San group （9 g·kg^-1）， with three rats in each group. The model group and the Xiebai San group were both induced using lipopolysaccharide-ovalbumin （LPS-OVA） to establish an asthma rat model. After treatment with Xiebai San， the animals were euthanized on day 21 and rapidly frozen in liquid nitrogen to preserve morphology. Whole-animal tissue sections were prepared using a cryomicrotome， and imaging was performed using the Air-flow-assisted Desorption Electrospray Ionization Mass Spectrometry Imaging （AFADESI-MSI） platform. Based on the corresponding optical images， ion data of metabolites from the lung and brain tissues of each group were extracted. Differential metabolites were analyzed using SIMCA and GraphPad Prism 9.0 software. Metabolites were identified using the HMDB （https：//hmdb.ca/） and LipidMAPS^® （https：//www.lipidmaps.org/） databases， and metabolic changes in the lungs and brain were analyzed. ResultsMass spectrometry imaging showed that， after Xiebai San intervention， components such as neoglycyrrhizin and glycyrrhizin from Glycyrrhizae Radix et Rhizoma， as well as palmitamide from Lycii Cortex， were significantly distributed in the lung and brain tissues of rats. Lung analysis indicated that substances with anti-inflammatory effects， such as citric acid， were significantly decreased （P0.01）， while lipid metabolites such as lysophosphatidylethanolamine （LPE 17：1）， LPE （22：4）， and LPE （19：0） （P0.01） were significantly increased， showing a marked inflammatory response in the model group. After Xiebai San intervention， these conditions were notably improved. Analysis of metabolic changes in brain tissue showed that， compared with the blank group， amino acid and fatty acid metabolic pathways in the model group exhibited restricted alterations. Among them， levels of aspartic acid， glutamic acid， fatty acid （FA 18：5）， hydroxy fatty acids （FAHFA 36：0；O）， FA （6：1；O6）， and LPE （18：1） increased， whereas FA （16：0） and FA （20：4） significantly decreased. Administration of Xiebai San improved these metabolic abnormalities in the brain. Systematic analysis of lung and brain metabolic changes in rats with lung heat-induced cough and asthma showed that antioxidant unsaturated phospholipid substances were significantly decreased in the model group， suggesting oxidative stress and inflammation-related lung-brain axis responses after the onset of lung heat-induced cough and asthma. ConclusionUsing whole-animal mass spectrometry imaging combined with spatial metabolomics revealed the in vivo distribution of Xiebai San constituents， characterized the metabolic alterations in the lungs and brain caused by lung heat-induced cough and asthma， and systematically demonstrated the lung-brain axis inflammatory responses and the regulatory effects of Xiebai San. These findings provide valuable information for the study of Chinese medicine in lung heat-induced cough and asthma.

ObjectiveTo explore the process and guidelines for ethical review in decentralized drug clinical trials， promote clinical trial progress， and ensure drug development progress. MethodsThe key points of the ethical review were summarized by studying the relevant laws and regulations on decentralized drug clinical trials， analyzing the advantages and challenges of decentralized drug clinical trials， and combining the experience of the ethics committee of the institution in reviewing decentralized drug clinical trials. ResultsRelevant laws and regulations were the basis for the ethical review， and the ethics committee should adopt appropriate review methods based on regulations and hospital ethical standard operating procedures. The ethics committee should focus on the feasibility， applicability， and rationality， the adequacy of informed consent， the protection of rights and interests and privacy of subjects， as well as the qualification and standard operating procedures of electronic platforms for conducting decentralized drug clinical trials. ConclusionDecentralized drug clinical trials are in their early stages and urgently require guidance from relevant laws and regulations. Ethical review is also constantly being refined through exploration. It is necessary to supervise the implementation of responsibilities by all parties， pay attention to the rights and interests of subjects， and gradually promote the implementation of decentralized drug clinical trials.

ObjectiveTo explore the correlation between the blood stasis score of coronary heart disease（CAD） and mild cognitive impairment（MCI）， as well as the changes in plasma metabolic profile of blood stasis in patients with CAD combined with MCI（CADMCI） through a cross-sectional study， and further explore the impact of different degrees of blood stasis on the plasma metabolite profile of CADMCI patients. MethodsAccording to the diagnostic criteria of CAD and CAD blood stasis， patients hospitalized in Xiyuan Hospital of China Academy of Chinese Medical Sciences from October 2022 to October 2023 were continuously included. According to the Montreal Cognitive Assessment（MoCA） scale score， the enrolled patients were divided into CADMCI blood stasis group and CAD blood stasis group. The association between blood stasis score and MCI was analyzed by multivariate Logistic regression model. The receiver operating characteristic（ROC） curve was drawn， and the area under the curve（AUC） was calculated to evaluate the sensitivity and specificity of the model. According to the blood stasis score， the first 30 patients in the CADMCI blood stasis group and CAD blood stasis group were divided into mild blood stasis and severe blood stasis. Ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） was used to detect plasma metabolites in each group of patients. The differential metabolites were screened according to variable importance in the projection（VIP） value≥1， fold change（FC）<0.67 or >1.5， and P<0.05. ROC curve analysis was further used to evaluate the discriminatory efficiency of the screened differential metabolites for each group of samples. ResultsA total of 266 CAD patients were included in this study. Multivariate Logistic regression analysis showed that the CAD blood stasis score was significantly correlated with MCI［odds ratio（OR）=1.619， 95% confidence interval（CI） 1.223-2.142， P<0.001， ROC curve AUC was 0.615（95% CI 0.547-0.683， P=0.001）］， indicating that the CAD blood stasis score has a certain predictive value for MCI. Plasma non-targeted metabolomics analysis showed that the main differential metabolites between CAD blood stasis and CADMCI blood stasis were lipid metabolites， among which phosphatidylcholine［20∶4（5Z， 8Z， 11Z， 14Z）/P-18∶1（11Z）］ had the best discriminatory efficiency（ROC curve AUC=0.867， 95% CI 0.754-0.942）. Further analysis of the differential metabolites between mild and severe blood stasis showed that lipid metabolites were also the main differential metabolites between mild and severe blood stasis. Among them， 1α，25-dihydroxy-2β-（2-hydroxyethoxy） vitamin D₃ had the best efficacy in distinguishing mild and severe CAD blood stasis（AUC=0.813， 95% CI 0.649-0.951）， and phosphatidylcholine 34∶2 had the best efficacy in distinguishing mild and severe CADMCI blood stasis（AUC=0.819， 95% CI 0.640-0.941）. ConclusionThere is a significant correlation between CAD blood stasis score and MCI. Phosphatidylcholine metabolites play an important role in the pathogenesis of CADMCI blood stasis and severe blood stasis. The CAD blood stasis score combined with the detection of phosphatidylcholine metabolites can provide a reference for the development of early and efficient identification strategies for CADMCI.

ObjectiveIn order to provide a reference for the optimization of preparation process of stir-fried Glycyrrhizae Radix et Rhizoma（sf-GRR）， the quality changes during the processing was studied. MethodsGlycyrrhizae Radix et Rhizoma was processed by stir-frying for 17 min， and samples were collected every 1 min during the processing. The appearance color of the samples was determined by visual analysis technology， the moisture and extract of the process samples were detected by the drying method and the hot extraction method of alcohol-soluble extract in the general rules of the 2020 edition of Chinese Pharmacopoeia（part Ⅳ）， and the contents of liquiritin apioside， liquiritin， isoliquiritin apioside， isoliquiritin， licoricesaponin G₂ and glycyrrhizic acid in the process samples were determined by high performance liquid chromatography（HPLC）. Then principal component analysis（PCA）， partial least squares-discriminant analysis（PLS-DA） and Spearman correlation analysis were used for clustering， discrimination and correlation analysis of the appearance color， moisture， extract and the contents of six internal components. Based on artificial neural network and random forest algorithm， the prediction model of processing degree of sf-GRR was established. On this basis， based on the five principles of quality marker（Q-Maker）， explore the monitoring Q-Maker of sf-GRR. ResultsThe color of Glycyrrhizae Radix et Rhizoma deepened after stir-frying， and the appearance color of the sample changed from light yellow to dark yellow during processing. During the stir-frying process， the moisture content showed a decreasing trend with the extension of processing time， while the extract content showed an increasing trend with the extension of processing time. After stir-frying， the contents of liquiritin apioside， liquiritin and licoricesaponin G₂ showed an overall decreasing trend， while the contents of isoliquiritin apioside and isoliquiritin increased， and the content of glycyrrhizic acid increased slightly. The correlation analysis showed that moisture was positively correlated with brightness（L^*） and red/green value（a^*）， and negatively correlated with yellow/blue value（b^*） and total color difference（E^*ab）. Isoliquiritin apioside and isoliquiritin had negative correlation with L^* and a^*， and positive correlation with b^* and E^*ab. The processing process of sf-GRR could be divided into two stages of the early stage（0-14 min） and the late stage（15-17 min）， and could be divided into three stages of the early stage（0-6 min）， the middle stage（7-14 min） and the late stage（15-17 min） by combining the moisture， extract， the contents of 6 components and color values. Based on artificial neural network analysis and random forest algorithm， isoliquiritin apioside， isoliquiritin， liquiritin and glycyrrhizic acid were selected as monitoring markers for sf-GRR. ConclusionBased on the analysis of the exterior-interior indicators of process samples of sf-GRR， this paper ultimately identifies four processing monitoring markers， which can provide a basis for optimizing the processing technology of sf-GRR.

To introduce the general thinking, guidelines, work objectives and elaboration process of the general technical requirements adopted by volume Ⅳ of the Chinese Pharmacopoeia 2025 Edition, and to summarize and figure out the main characteristics on dosage forms, physico-chemical testing, microbial and biological testing, reference standards and guidelines The newly revised general chapters of pharmacopoeia give full play to the normative and guiding role of the Chinese Pharmacopoeia standard, track the frontier dynamics of international drug regulatory science and the elaboration of monographs, expand the application of state-of-the-art technologies, and steadily promote the harmonization and unification with the ICH guidelines； further enhance the overall capacity of TCM quality control, actively implement the 3 R principles on animal experiments, and practice the concept of environmental-friendly； replace and/or reduce the use of toxic and hazardous reagents, strengthen the requirements of drug safety control This paper aims to provide a full-view perspective for the comprehensive, correct understanding and accurate implementation of general technical requirements included in the Chinese Pharmacopoeia 2025 Edition.

Pancreatic cancer is a kind of highly malignant tumor with a low survival rate and poor prognosis. The effectiveness of gemcitabine as a first-line chemotherapy drug is limited; however, it can activate dendritic cells and improve antigen presentation which increase the sensitivity of tumor cell to immunotherapy. Although immunotherapy has made some advancements in cancer treatment, the therapeutic benefit of programmed cell death receptor 1/programmed death receptor-ligand 1 (PD-1/PD-L1) blockade therapy remains relatively low. The chemokine C-X-C chemokine ligand 12 (CXCL12) contributes to an immunosuppressive tumor microenvironment by recruiting immunosuppressive cells. The receptor C-X-C motif chemokine receptor 4 (CXCR4), highly expressed in various tumors including pancreatic cancer, plays a crucial role in tumor development and progression. In this study, the anti-tumor immune response of human peripheral blood mononuclear cell (hPBMC) was enhanced using the combination of BsNb PX4 (anti-PD-L1&CXCR4 bispecific nanobody) and gemcitabine. In a co-culture system of gemcitabine-pretreated hPBMCs with tumor cells, the BsNb PX4 synergized gemcitabine to improve the cytotoxic activity of hPBMCs against tumor cells. Flow cytometry analysis confirmed increased ratio of CD8⁺ to CD4⁺ T cells in combination treatment. In NOD/SCID mice bearing pancreatic cancer, the combination treatment exhibited more infiltration of CD8⁺ T cells into tumor tissues, contributing to an effective anti-tumor response. This study presents potential new therapies for the treatment of pancreatic cancer. Ethical approval was obtained for collection of hPBMC samples from the Local Ethics Committee of Shanghai Jiao Tong University. All animal experiments were approved by the Animal Ethic Committee of Shanghai Jiao Tong University (authorizing number: A2024246).

Objective: To explore the bidirectional causal relationship between 731 immune cell phenotypes and recurrent aphthous ulcers (RAU) using Mendelian randomization (MR). Methods: A two-sample bidirectional MR study was conducted using publicly available genome-wide association study (GWAS) summary statistics for 731 immune cell phenotypes and the RAU GWAS summary data from the FinnGen consortium. The inverse-variance weighted (IVW) method was used as the primary analysis tool, with supplementary analyses including the weighted median (WM) method, MR-Egger regression, weighted mode, and simple mode. Sensitivity analyses were conducted using Cochran’s Q test, the mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) method for detecting pleiotropy and outliers, and leave-one-out cross-validation. Furthermore, differential analysis was performed using a clinical cohort dataset from the Gene Expression Omnibus (GEO) to further validate the MR results. Results: In the forward MR analysis, 731 immune cell phenotypes were considered as exposures and RAU as the outcome. Among them, 52 immune cell phenotypes showed a significant causal effect on RAU (P<0.05). After false discovery rate (FDR) correction, two immune phenotypes remained significantly associated with RAU risk: with increased monocyte-derived myeloid suppressor cells (M-MDSC) (OR = 1.06; 95% CI: 1.03-1.09) and CD33 on granulocytic myeloid-derived suppressor cells (G-MDSC) (OR = 1.06; 95% CI: 1.03-1.09), the risk of RAU also increased. In reverse MR, RAU was found to have a significant causal effect on two immune cell phenotypes (P<0.05), but no significant effects were found after FDR correction. Sensitivity analysis showed no significant heterogeneity between SNPs (P>0.05). Differential analysis of the GEO dataset revealed that the characteristic genes of myeloid-derived suppressor cells (MDSC) (CTBS, IPMK, and UBA3) were significantly upregulated in RAU (P<0.05). Conclusion The MR results of 731 immune cell phenotypes suggest that M-MDSC and CD33 molecules on G-MDSC may be risk factors for RAU development. The clinical GEO dataset further validated that MDSC may play a role in RAU, while RAU did not show a significant causal association with the 731 immune cell phenotypes.

Objective To screen ferroptosis genes related to the prognosis of cervical cancer and to construct a prognosis model. Methods Ferroptosis genes were obtained from FerrDb database, and cervical cancer related data were obtained from The Genome-Wide Association Study Catalog database and The Cancer Genome Atlas database. Transcriptome-Wide Association Study, colocalization analysis and differential expression analysis were conducted to screen out candidate ferroptosis genes; Gene Ontology functional and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were conducted on candidate genes. Univariate Cox regression analysis was used to further screen out genes related to the prognosis of cervical cancer. Kaplan-Meier method was used to analyze the relationship between genes and the overall survival of patients. The expression levels of genes in pan-cancer were analyzed through the TIMER database. Two prognostic models were conducted, Model 1 included age and tumor stage, while Model 2 incorporated age, tumor stage, and prognostic genes. The predictive capabilities of the two models were compared. Results A total of 91 candidate genes related to ferroptosis were obtained. Univariate Cox regression analysis showed that 15 genes were associated with the prognosis of cervical cancer. CA9, SCD, TFRC, QSOX1 and CDO1 were risk factors affecting the prognosis of cervical cancer patients (P＜0.05), while PTPN6, ALOXE3, HELLS, IFNG, MIOX, ALOX12B, DUOX1, ALOX15, AQP3 and IDO1 were protective factors (P＜0.05). The mRNA expression levels of the 15 genes showed significant upregulation or downregulation in at least 7 types of cancers, among which TFRC was associated with the largest number of cancer types. Kaplan-Meier analysis showed that HELLS, DUOX1 and ALOXE3 were associated with poor prognosis in cervical cancer. The AUC of the model 1 for predicting 1-year and 3-year overall survival rates of cervical cancer patients was 0.455 and 0.478, and the AUC of Model 2 was 0.854 and 0.595. Model 2 (C-index = 0.727) had better predictive ability than Model 1 (C-index = 0.502). Conclusion The prognostic model composed of 15 prognostic-related genes selected based on bioinformatics has better predictive performance for the survival outcomes of cervical cancer patients, providing important reference value for the prognostic assessment of cervical cancer patients.