Objective To conduct a visual analysis of the current status,hotspots,and frontiers of research on renal cell carcinoma targeted therapy using VOSviewer software.Methods Literature related to renal cell carcinoma targeted therapy published between January 1,2006 and December 31,2023,from the Web of Science(WOS)Core Collection database were retrieved.Eligible articles were screened and subjected to bibliometric and visual analysis using VOSviewer software.Results A total of 1,009 articles were selected,with an overall increasing trend in annual publication volume.The top three countries in terms of publication output were the United States,China,and Italy,while the top three institutions were Harvard University,The University of Texas,and France Uni-cancer Insti-tute.The analysis of the core author collaboration network revealed close collaboration among re-searchers in the United States and the United Kingdom,whereas collaboration between China and for-eign countries was limited,resulting in a relatively loose collaboration network.Through co-occur-rence clustering analysis of high-frequency author keywords,nine clusters were generated,with hotspots focusing on targeted and immune combination therapy,efficacy,prognosis,drug resistance,targets,and biomarkers.Conclusion Remarkable progress has been made in renal cell carcinoma tar-geted therapy research over the past decade;however,drug resistance and adverse reactions to targeted therapies remain challenges in clinical treatment.Research related to targeted drug resistance mechanisms,novel targeted drugs,and effective predictive biomarkers has significantly increased.Grasping the developmental trends in this fieldis crucial,and VOSviewer's visual analysis can offer an intuitive representation of the current status,hotspots,and frontiers,thereby providing research-ers with a valuable reference.

Objective To conduct a visual analysis of the current status,hotspots,and frontiers of research on renal cell carcinoma targeted therapy using VOSviewer software.Methods Literature related to renal cell carcinoma targeted therapy published between January 1,2006 and December 31,2023,from the Web of Science(WOS)Core Collection database were retrieved.Eligible articles were screened and subjected to bibliometric and visual analysis using VOSviewer software.Results A total of 1,009 articles were selected,with an overall increasing trend in annual publication volume.The top three countries in terms of publication output were the United States,China,and Italy,while the top three institutions were Harvard University,The University of Texas,and France Uni-cancer Insti-tute.The analysis of the core author collaboration network revealed close collaboration among re-searchers in the United States and the United Kingdom,whereas collaboration between China and for-eign countries was limited,resulting in a relatively loose collaboration network.Through co-occur-rence clustering analysis of high-frequency author keywords,nine clusters were generated,with hotspots focusing on targeted and immune combination therapy,efficacy,prognosis,drug resistance,targets,and biomarkers.Conclusion Remarkable progress has been made in renal cell carcinoma tar-geted therapy research over the past decade;however,drug resistance and adverse reactions to targeted therapies remain challenges in clinical treatment.Research related to targeted drug resistance mechanisms,novel targeted drugs,and effective predictive biomarkers has significantly increased.Grasping the developmental trends in this fieldis crucial,and VOSviewer's visual analysis can offer an intuitive representation of the current status,hotspots,and frontiers,thereby providing research-ers with a valuable reference.

Objective:To develop a deep learning model based on multimodal data for glaucoma diagnosis and severity assessment.Methods:A diagnostic test was conducted.A total of 145 normal eyes from 86 participants and 507 eyes with primary open-angle glaucoma from 314 participants were collected at the First Affiliated Hospital of Kunming Medical University from June to December in 2023.Fundus photographs and visual field data were obtained, and glaucoma eyes were divided into three groups based on the mean deviation value of the visual field, namely mild group (154 eyes), moderate group (113 eyes), and severe group (240 eyes).Three convolutional neural network (CNN) models, including DenseNet 121, ResNet 50 and VGG 19, were used to build an artificial intelligence (AI) model.The impact of single-modal and multimodal data on the classification results was evaluated, and the most appropriate CNN network architecture for multimodal data was identified.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of The First Affiliated Hospital of Kunming Medical University (No.2023L93).Written informed consent was obtained from each subject.Results:A total of 652 eyes had both fundus photographs and visual field test results.Images were randomly assigned to training and test datasets in a 4∶1 ratio by using computer random number method.AI models built with different CNN models showed high accuracy, with DenseNet 121 outperforming ResNet 50 and VGG 19 on various effectiveness measures.In the single-modal algorithm using fundus photographs, single-modal algorithm using visual field tests, and multimodal algorithm combining fundus photographs and visual field data, the area under the curve for early glaucoma detection was 0.87, 0.93 and 0.95, respectively.Conclusions:The use of multimodal data enables the development of a highly accurate tool for the glaucoma diagnosis and severity grading.

Aim To investigate the mechanism of Sophorae tonkinensis radix et rhizome (ST) induced nephrotoxicity based on network toxicology and experimental verification. Methods Through network toxicology the target of toxic components of ST was predicted, nephrotoxicity-related target genes were located, the intersection of targets was taken, the STRING platform was imported to map the target protein interactions, MetaScape database was used for GO and KEGG analysis, BioGPS database for screening the key expressed genes in rat nephrotoxicity and the component-target-pathway network was constructed. The mechanism of ST induced nephrotoxicity was verified through animal experiments, and qRT-PCR was applied to detect mRNA expression level of key genes in kidney tissue. Results Twenty toxic components of ST were screened from network toxicology, mainly including matrine, sophoridine, maackiain. A total of 135 targets were involved, and HSP90AA1, SRC, MAPK1, MAPK3, AKT1 were the main targets. A total of 169 related signaling pathways were yielded by KEGG analysis, and the mechanism of nephrotoxicity might be related to cancer pathway, PI3K-Akt signaling pathway, HIF-1 signaling pathway, MAPK signaling pathway. PPARA, RAF1, MAP2K1, SRC, AKT1 and MAPK3 were screened from BioGPS database. The results of animal experiments showed that BUN and SCr level increased (P <0. 01) in rats with high-dose group, and the kidney tissue was significantly damaged. qRT-PCR results indicated that the expression of PPARA, RAF1, MAP2K1, MAPK3 mRNA increased, the expression of AKT1 mRNA decreased in the high-dose group of ST (P <0. 05). Conclusions The mechanism of Sophorae tonkinensis radix et rhizome induced nephrotoxicity is found to be related to the combined action of multiple components, multiple targets and multiple pathways, which also provides a theoretical basis for the in-depth exploration of the toxicology.

OBJECTIVE To establish the fingerprints of Ardisia crenata， Sophora tonkinensis and their couplet medicines， and to determine the contents of five components in them. METHODS Using water as solvent， single lyophilized powder of A. crenata and S. tonkinensis and combined lyophilized powder of their couplet medicines were prepared by combining lyophilization technology. The fingerprints of three lyophilized powder samples were established by using high-performance liquid chromatography （HPLC）， and the contents of 5 kinds of components such as gallic acid were determined simultaneously. RESULTS There were 5， 10 and 14 common peaks in the fingerprints for single lyophilized powder of A. crenata and S. tonkinensis and combined lyophilized powder of their couplet medicines； the similarities of them with the control fingerprints were all greater than 0.90. For combined lyophilized powder of couplet medicines， peak 3 Δ 基金项目 国家重点研发计划项目（No.2018YFC1708100）；贵 州省科技计划项目（No.黔科合基础-ZK〔2022〕一般483，No.黔科合成 was identified as gallic acid， peak 4 as matrine， peak 6 as 果〔2021〕一般137）；贵州省教育厅高等学校科学研究项目（青年项目） oxymatrine， peak 8 as bergenin， and peak 14 as trifolirhizin. In single lyophilized powder of A. crenata， the average contents of gallic acid and bergenin were 0.499 3 and 4.962 6 mg/g， respectively. In single lyophilized powder of S.tonkinensis， the average contents of matrine， oxymatrine and trifolirhizin were 3.046 0， 2.336 6 and 0.278 6 mg/g， respectively. In combined lyophilized powder of couplet medicines， the average contents of gallic acid， matrine， oxymatrine， bergenin and trifolirhizin were 0.560 6， 2.548 7， 1.382 2， 5.960 7 and 0.279 1 mg/g， respectively. The transfer rates were 8.87%-513.19%. CONCLUSIONS The established fingerprint and content determination methods are stable and feasible， and can be used for the quality control of A. crenata and S. tonkinensis and their couplet medicines. The average contents of matrine and oxymatrine in combined lyophilized powder of A. crenata-S. tonkinensis couplet medicines are decreased.

Aim To elucidate the molecular mechanism of Sophora tonkinensis Gagnep in improving acute pharyngitis based on network pharmacology, animal experiments and quantitative real-time PCR.Methods The active components and targets of Sophora tonkinensis Gagnep were collected from the database of traditional Chinese medicinal systems databases and analysis platform(TCMSP). Targets related to acute pharyngitis were acquired through GeneCards, OMIM, DrugBank and Disgenet databases. After the common targets of the two were screened, the STRING database was used to construct the protein interaction network, and the Metascape platform was used for pathway analysis. At the same time, Cytoscape software was used to construct a network of "herbal-disease-component-target" and "herbal-disease-component-target-pathway" network. The acute pharyngitis models in rats were established to study the effect of water extract of Sophora tonkinensis Gagnep on acute pharyngitis in rats. Quantitative real-time PCR technology was used to study the effect of Sophora tonkinensis Gagnep on key gene targets in key pathways of pharyngeal tissues in rats with acute pharyngitis. Results In this experiment, 509 related targets of 21 active components of Sophora tonkinensis Gagnep were obtained, 2 167 related targets of acute pharyngitis were obtained, and 194 common targets of Sophora tonkinensis Gagnep and acute pharyngitis were obtained. KEGG pathway analysis screened 344 related signaling pathways, indicating that IL-17 signaling pathway, NF-kappa B signaling pathway and leukocyte transendothelial migration pathway might play a key role in the improvement of acute pharyngitis by Sophorae tonkinensis Gagnep. Animal experiments showed that the low dose group of Sophora tonkinensis Gagnep water extract had better therapeutic effect on acute pharyngitis. The results of quantitative real-time PCR showed that the low-dose group of Sophora tonkinensis Gagnep significantly down-regulated the expression levels of ITGB2, PIK3CA, PIK3CD and PTPN11 genes in leukocyte transendothelial migration pathway(P<0.05). Conclusions The above results show that Sophora tonkinensis Gagnep has the characteristics of multi-component, multi-target and multi-pathway synergy in improving acute pharyngitis, which provides a theoretical basis for further study on the complex mechanism of Sophora tonkinensis Gagnep in improving acute pharyngitis.

OBJECTIVE To analyze the chemical constituents and components absorbed into plasma of the extract of Ardisia crenata and to elucidate its possible pharmacodynamic material basis. METHODS Overall， 12 rats were randomly assigned to the blank group （n＝6） and A. crenata group （n＝6） by the paired comparison method. The drug was administered once daily in the morning and afternoon for three days. Serum samples were prepared from serum after redosing on 4th day. The UPLC-QE-HF-MS/ MS was used to analyze and identify the chemical constituents in A. crenata extract and serum samples. Compound Discoverer 3.0 was employed for retention time correction， peak identification， and peak extraction. According to the secondary mass spectrometry information， the Thermo mzCloud online and Thermo mzVault local databases， referring to the relevant literature and control quality spectrum information were used to preliminarily identify the chemical constituents and components absorbed into plasma of A. crenata. RESULTS A total of 34 compounds were identified from the extract of A. crenata， mainly coumarins， flavonoids， organic acids， amino acids， including bergenin， quercetin， gallic acid， L-pyroglutamic acid， etc. Besides， 5 components absorbed into plasma were identified from serum samples: L-pyroglutamic acid， syringic acid， bergenin， cinnabar root saponin A， and mycophenolic acid. CONCLUSIONS L-pyroglutamic acid， syringic acid， bergenin， cinnabar root saponin A， and mycophenolic acid may act as the pharmacodynamic material basis of A. crenata.