ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

AIM:To identify transcriptional differences between the ocular surface ectoderm(OSE)and surface ectoderm(SE)using RNA-seq, and elucidate the OSE transcriptome landscape and the regulatory networks involved in its development.METHODS:OSE and SE cells were differentiated from human embryonic stem(hES)cells. Differentially expressed genes(DEGs)between OSE and SE were analyzed using RNA-seq. Based on the DEGs, we performed gene ontology(GO)analysis, Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis, and protein-protein interaction(PPI)network analysis. Transcription factors(TFs)and hub genes were screened. Subsequently, TF-gene and TF-miRNA regulatory networks were constructed using the NetworkAnalyst platform.RESULTS:A total of 4 182 DEGs were detected between OSE and SE cells, with 2 771 up-regulated and 1 411 down-regulated genes in OSE cells. GO-BP analysis revealed that up-regulated genes in OSE were enriched in the regulation of ion transmembrane transport, axon development, and modulation of chemical synaptic transmission. Down-regulated genes were primarily involved in nuclear division, chromosome segregation, and regulation of cell cycle phase transition. KEGG analysis indicated that up-regulated genes in OSE cells were enriched in signaling pathways such as cocaine addiction, axon guidance, and amphetamine addiction, while down-regulated genes were enriched in proteoglycans in cancer, ECM-receptor interaction, protein digestion and absorption, and cytokine-cytokine receptor interaction. Additionally, compared with SE, 204 TFs(including FOS, EGR1, POU5F1, SOX2, and PAX6)were up-regulated, and 80 TFs(including HAND2, HOXB6, HOXB5, HOXA5, and HOXB8)were down-regulated in OSE cells. Furthermore, we identified 6 up-regulated and 9 down-regulated hub genes in OSE cells, and constructed TF-gene and TF-miRNA regulatory networks based on these hub genes.CONCLUSIONS:The transcriptome characteristics of OSE and SE cells were elucidated through RNA-seq analysis. These findings may provide a novel insight for studies on the development and in vitro directed induction of OSE and corneal epithelial cells.

Objective To analyze the influencing factors of unplanned extubation(UE)occurrence of peripherally inserted central catheter(PICC)in the patients with hematological diseases.Methods A retro-spective cohort study method was adopted.The data of 7 298 patients with hematological diseases implanted with PICC catheter and followed up to its removal from January 1,2016 to December 31,2020 in the Hematol-ogy Hospital of Chinese Academy of Medical Sciences were collected,including the demographic information,catheterization records,maintenance and extubation records.According to whether UE occurring,they were divided into the UE group(n=262)and normal extubation group(n=7 036).The general data were com-pared between the two groups.The COX regression was used to analyze the influencing factors of UE in pa-tients with hematological diseases.The dose-effect relationship between age and PICC UE occurrence risk was studied by the restrictive cubic spline method.Results The incidence rate of UE was 3.6％(262/7 298).The COX regression analysis results showed that the gender,disease diagnosis,fibrinogen,prothrombin time,PLT,catheter material,number of punctures during catheterization,positioning method of catheter tip,num-ber of catheter-related complications occurrence were related to PICC UE occurrence in the patients with he-matological diseases(P＜0.05).The results of restricted cubic spline showed that there was a"U"-type non-linear relationship between age and UE risk(X2=17.710,P＜0.05),and the risk of UE was the lowest when the age was 30 years old.Conclusion In PICC,the emphasis should be paid to the male patients with hemato-logical malignancies who have repeated punctures during catheterization,no intracardiac electrocardiographic positioning during catheterization,bleeding tendency,indwelling polyurethane catheters and repeated catheter-related complications in order to decrease the UC occurrence probability.

Objective To discuss the application of the"rotating guidewire and correcting the filter recovery hook direction technique"("rotation-correction loop technique"for short),a technique invented by the authors in clinical practice,in the retrieval of complex inferior vena cava filter(IVCF),and to discuss its technical skills and advantages.Methods The clinical data of 417 patients carrying an IVCF,who were admitted to the Department of Vascular Surgery of Second Hospital of Shanxi Medical University of China to retrieve IVCF between January 2022 and December 2022,were retrospectively analyzed.Taking the time spent on the retrieval of IVCF and the intraoperative radiation dose as the evaluation indicators,the advantages and disadvantages of the standard filter retrieval technique,the"rotation-correction loop technique"and the other loop-assisted techniques were compared.Results Both the intraoperative radiation dose and the time spent on the retrieval of IVCF using"rotation-correction loop technique"were remarkably lower than those of other loop-assisted techniques(P＜0.000 1).Conclusion For the retrieval of complex IVCF,especially for the IVCF which is heavily tilted and/or its recovered hook is attached to the vascular wall,the use of"rotation-correction loop technique"can shorten the time spent on the the retrieval of IVCF and reduce the intraoperative radiation dose.This technique carries high safety and practicability,the device is simple and it can be manipulated by single physician,which is conducive to clinical application and promotion.(J Intervent Radiol,2024,33:289-294)

Abstract Fangjiomics is a promising paradigm that enhances research on multi-omics-based pharmacological mechanisms of Fangji from holistic and systematic perspective. We reviewed recent advances in Fangjiomics, focusing on database and analysis platform development, methodological innovations, and translational applications. Through the integration of Fangji and multi-omics data, multi-level system analysis approaches were developed, encompassing single-target analysis, signaling pathways, multi-targeted network and modules. Fangjiomics has emerged as a key strategy in various areas of Fangji research. To support the high quality development of Fangjiomics, we propose principles and perspectives from the integrated, macro-level, and practical viewpoints.

The syndrome/pattern of defensive qi deficiency is a common basic syndrome of traditional Chinese medicine in clinical practice. However,there is a lack of standardized and operable diagnostic specifications in practical applications. Based on the previous literature,this study proposed the idea of starting from the elements of the syndrome,qualitative diagnostic criteria for the syndrome/pattern of defensive qi deficiency oriented to the entire region of the disease were constructed based on the two dimensions of " deficient defensive qi failing to consolidate the exterior" and " qi deficiency" and constructing a set of quantitative evaluation criteria as the supporting content for the diagnostic items. The core members of the research group attempted to formulate the draft standard,then reached a consensus through the Delphi method expert questionnaire consultation and the Nominal group technique,and finally evaluated the reliability and validity of the standard through clinical verification to provide ideas for the standardization and normalization of research on syndromes.

Objective To isolate the Japanese encephalitis virus carried by Culex tritaeniorhynchus in Dongchuan District of Yunnan Province and analyze its molecular characteristics, so as to provide insights into the prevention and control of Japanese encephalitis in Yunnan Province. Methods Mosquito specimens were collected using mosquito-trapping lamps from pig farms in Batang Village and Xiaoxin Village, Dongchuan District, Kunming City, Yunnan Province in July 2016, and the mosquito species was identified according to the mosquito morphology. Then, 60 to 100 mosquitoes of each species served as a group and were ground. Baby hamster kidney-21 (BHK-21) cells and Aedes albopictus clone C6/36 cells were used for virus isolation, and positive isolates were identified using flavivirus primers. The positive isolates were amplified using reverse transcription polymerase chain reaction (RT-PCR) assay with 15 pairs of specific primers covering the full length of the genotype I Japanese encephalitis virus, and DNA sequence assembly was performed using the software SeqMan in the DNASTAR package. The obtained sequences were aligned with the complete sequences of 38 Japanese encephalitis virus downloaded from the GenBank with the software MegAlign, and the nucleotide and amino acid homology analyses of the obtained sequences were performed. The difference in amino acid sites was analyzed with the software GeneDoc, and phylogenetic trees were created based on the sequences of the coding region and E protein of the isolated Japanese encephalitis virus with the software Mega X. In addition, the secondary and tertiary structures of the E protein of the Japanese encephalitis virus were predicted using the online tool SOPMA and the software Swiss-Model. Results A total of 5 820 mosquitoes were collected and 3 843 Cx. tritaeniorhynchus (66.03%) were identified according to the mosquito morphology. A positive virus isolate, termed YNDC55-33, was isolated from Cx. tritaeniorhynchoides following batches of virus isolation from mosquito specimens, and cytopathic effect was observed following inoculation into BHK-21 and C6/36 cells. The YNDC55-33 virus isolate was successfully amplified with the flavivirus primes, and a long sequence containing 300 nucleotides was obtained. Following sequence alignment using the BLAST tool, the sequence of the YNDC55-33 virus isolate had high homology with that of the genotype I Japanese encephalitis virus. A long sequence with 10 845 nucleotides in length, which encoded 3 432 amino acids, was obtained by splicing the full sequence of the YNDC55-33 virus isolate. Phylogenetic analysis based on the whole-genome sequence and E gene sequence of the YNDC55-33 virus isolate showed that the new YNDC55-33 virus isolate was most closely related to the genotype I Guizhou isolate (GenBank accession number: HM366552), with nucleotide homology of 98.5% and amino acid homology of 99.4%, and the YNDC55-33 virus isolate shared 97.96% ± 0.33% nucleotide homology and 99.35% ± 0.08% amino acid homology with other genotype I Japanese encephalitis virus isolates, and < 90% nucleotide homology and < 98% amino acid homology with other genotypes of Japanese encephalitis virus. The YNDC55-33 virus isolate and the live attenuated virus vaccine candidate SA14-14-2 isolate differed at 16 amino acid sites on E gene, and 7 out of 8 key amino acid sites related to neurovirulence. The secondary and tertiary structures of the E protein of the YNDC55-33 virus isolate were predicted to be characterized by random coils. Conclusions A genotype I Japanese encephalitis virus was isolated from Cx. tritaeniorhynchus in Dongchuan District, Kunming City. This virus isolate and the live attenuated virus vaccine candidate SA14-14-2 isolate does not differ at antigenic epitopes-related key amino acid sites, and the major protein structure of the virus isolate is random coils. This study adds new data for the epidemiological distribution of Japanese encephalitis virus in Yunnan Province, which may provide insights into the prevention and control of Japanese encephalitis in the province.

Objective To evaluate the predictive value of CT-enhanced imaging-based radiomics nomogram for the status of microsatel-lite instability(MSI)in colon cancer.Methods A retrospective analysis was conducted on 129 postoperative colon cancer patients with confirmed MSI status.They were randomly divided into a training group(n=90)and a validation group(n=39)at a ratio of 7:3.Radiomics features were extracted from preoperative CT-enhanced images of the patients.The predictive performance of various machine learning algorithms was evaluated using the area under the curve(AUC).A nomogram model was developed by incorporating clinical independent risk factors,and the model's overall performance was assessed using decision curve analysis(DCA).Results Age and lesion site were identified as prominent independent risk factors and utilized in the construction of a clinical model.The light gradient boosting machine(LightGBM)algorithm was chosen for building a radiomics model.As a joint model,the AUC of the nomogram model of 0.917 in the training group and 0.822 in the validation group.The DCA confirmed the substantial clinical applicability of the nomogram model.Conclusion The CT-enhanced imaging-based radiomics nomogram offers a pioneering and individualized predic-tive approach for determining the MSI status in colon cancer.

Objective To investigate the changes in G protein-coupled receptor 124 (Gpr124) expression in human retinal microvascular endothelial cells (HRMEC)under high-glucose condition and the regulatory effect of Gpr124 interference on HRMEC.Methods Immunofluorescence assay was used to observe the expression of Gpr124 in HRMEC.The cells were divided into a blank group and a high glucose group.CCK-8 assay and EdU cell proliferation assay were used to detect cell viability and proliferation,respectively.The Gpr124 expression was knocked down by transducting lentiviral virus carrying shRNA targeting Gpr124.Thus,the cells were divided into a blank control group,a high glucose control group,a high glucose+shRNA group,and a high glucose+Gpr124 shRNA group.Cell scratch test was performed to evaluate cell migration,and Matrigel plug assay was employed to assess the cell tubule formation.Western blotting was applied to detect the protein levels of Gpr124,VEGFA,MMP9,and β-catenin.Results The HRMEC from the high glucose group showed enhanced cell viability and increased number of proliferating cells compared to the cells of the blank group (P<0.01).High glucose treatment also induced increased expression levels of Gpr124,VEGFA and MMP9 (P<0.01),and larger migratory area and in vitro angiogenic area as well as longer tube diameter at all time points when compared with the conditions in the blank control group (P<0.01).However,knockdown of Gpr124 resulted in a significant decrease in HRMEC migration and in vitro angiogenic capacity,accompanied by decreases in protein expression of VEGFA,MMP9 and β-catenin (P<0.01).Conclusion Gpr124 can regulate the proliferation,migration,and tube formation ability of HRMEC under high-glucose condition,and also inhibit the overexpression of VEGFA and MMP9,which may be through regulating the classical Wnt/β-catenin pathway.

Epilepsy with eyelid myoclonia (EEM), also known as Jeavons syndrome, is a type of genetic generalized epilepsy officially recognized by the International League Against Epilepsy. The clinical characteristics of EEM include eyelid myoclonia, eye closure sensitivity, and photosensitivity, typically manifesting in childhood with a higher prevalence in female patients. The prognosis of EEM is poor, and seizures are difficult to fully control even with standardized drug treatment. The electroencephalogram of EEM often shows fast interictal multiple spike-wave complexes, which can be induced by eye closure or photic stimulation. Functional magnetic resonance imaging and other studies have found that EEM is associated with brain network abnormalities, particularly the key role of the central medial thalamic nucleus in the regulation of cortical excitability. Genetic research has found that EEM may be related to variations in genes such as CHD2, SYNGAP1, NEXMIF, RORB, and GABRA1.