Objective To develop and validate a transgenic mouse model enabling specific and inducible optogenetic activation of oligodendrocyte precursor cells(OPCs).Methods A conditional allele for the photosensitive opsin chicken opsin 5(cOpn5)(Rosa26-LSL-cOpn5)was generated using CRISPR/Cas9 technology.These mice were subsequently crossed with NG2-CreERT transgenic mice to produce NG2-CreERT;cOpn5 animals.In this model,tamoxifen administration induces Cre-mediated recombination,leading to specific expression of cOpn5 in NG2-positive OPCs.The specificity and efficiency of cOpn5 expression in OPCs were confirmed by immunofluorescent staining.Functional validation of light-induced OPC activation was performed by using calcium imaging in acute brain slices after stimulation with 470 nm blue light.Results Immunofluorescence analysis confirmed robust and specific expression of cOpn5 within NG2-positive OPCs in the brains of tamoxifen-treated NG2-CreERT;cOpn5 mice.Crucially,calcium imaging of acute brain slices from these mice demonstrated a significant increase in intracellular calcium levels in cOpn5-expressing OPCs upon stimulation with 470 nm blue light,indicating successful optogenetic activation.Conclusion We have successfully generated and validated a novel transgenic mouse model(NG2-CreERT;cOpn5)that permits specific and inducible optogenetic activation of OPCs.This model provides a novel tool for subsequent in vivo studies of the role and regulating mechanisms of OPCs in the central nervous system.

Objective To investigate the antitumor effects of triptolide against CT26 colon cancer and its impact on the expression of Polo-like kinase-1(PLK-1)protein.Methods Forty clean grade BALB/c mice,each mouse was implanted with 1×106 CT26 cells into the dorsal side of the right forelimb to establish a tumor-bearing mouse model.Experimental animals were randomly divided into four groups,the tumor model group(saline control),the positive drug group[oxaliplatin,5 mg/(kg·d)],the low-dose triptolide group[50 μg/(kg·/d)],and the high-dose triptolide group[100 μg/(kg·d)].The drugs were administered through intraperitoneal injection(10 times in total,once every other day).The in vitro effects of the drugs on the proliferation,migration,invasion,and mitosis of CT26 cells were also assessed.Results Triptolide significantly inhibited the proliferation,migration,and invasion of CT26 colon cancer cells,and disrupted the separation of centrosomes and the correct arrangement of chromosomes during the prophase of mitosis in tumor cells.The binding energy of triptolide and PLK-1 protein was-7.1 kcal/mol,and it could down-regulate the expression of PLK-1 in CT26 cells.Conclusion Triptolide exerts its antitumor effects against CT26 colon cancer by downregulating the expression of PLK-1.

Objective To investigate the related mechanism which metformin inhibited the proliferation of HCT116 colorectal cancer cells via down-regulating the expression of up-frameshift protein 1(UPF1).Methods TCGA and UALCAN databases were utilized to analyze the expression level of UPF1,while Western blotting and Real-time PCR were performed to validate the differences of UPF1 expressions in colon cancer tissues and adjacent normal tissues.Clone formation assay,CCK-8 assay,wound healing assay and Transwell invasion assay were used to examine the effects of knockdown UPF1 on the proliferation,migration and invasion of HCT116 cells respectively.The HCT116 cell dataset with UPF1 knockdown was screened from GEO database for Kyoto Encydopedia of Genes and Genomes(KEGG)pathway analysis,the expression level of differential genes that enriched in Hippo pathway were verified by Real-time PCR.The HCT116 cells were treated with metformin,Western blotting and Real-time PCR were employed to detect the UPF1 expression.Mendelian randomization analysis was performed to explore the causal association between metformin treatment and colorectal cancer.Results Analysis of TCGA and UALCAN databases showed that both UPF1 mRNA and protein were highly expressed in colon cancer tissues and the expression level of UPF1 was closely correlated with clinicopathologic stage and lymph node metastasis.Compared with adjacent normal tissues,the UPF1 protein and mRNA were highly expressed in colon cancer tissues.Knockdown UPF1 expression could inhibit the proliferation,migration and invasive ability of HCT116 cells.There were 8 differential genes affect the Hippo pathway by KEGG enrichment analysis,Real-time PCR experiments confirmed that CTNNB1,BMP4,TEAD2,PARD6G and FZD1 mRNA decreased in HCT116 cells with UPF1 knockdown.Both UPF1 protein and mRNA expressions decreased after metformin treatment in HCT116 cells.Mendelian randomization analysis showed a negative causal association between metformin treatment and colorectal cancer.Conclusion Knockdown of UPF1 expression inhibits the proliferation of HCT116 cells through regulating Hippo pathway.Metformin can reduce the UPF1 expression for further inhibiting the proliferation of colorectal cancer cells.

Objective To develop a melanoma diagnosis framework based on large-scale vision-language models,and to explore the feasibility and accuracy of the framework for melanoma diagnosis.Methods The publicly available Derm7pt dataset,which was divided into a training set(346 cases),a validation set(161 cases),and a test set(320 cases)was utilized.A melanoma diagnosis framework based on large-scale vision-language models was proposed,comprising two text branches and one visual branch.In the text branches,one branch processed fixed clinical prompts,while the other handled learnable prompts.This design aimed to optimize the effectiveness of learnable prompts through guidance from fixed clinical prompts.The visual branch processed dermoscopic images and enhanced melanoma feature recognition through fine-tuning the image encoder.Results On the Derm7pt dataset,our method outperformd other existing method.It achieved an area under the receiver operating characteristic curve(AUC)of 87.35％,an accuracy of 84.17％,and an F1-score of 84.01％.Conclusion The study demonstrates that with appropriate fine-tuning strategies,methods based on large-scale vision-language pre-trained models can effectively adapt to melanoma diagnosis tasks.This approach can serve as a powerful auxiliary tool for doctors,helping them make more accurate diagnostic decisions.

Objective To propose a high-precision deep learning-based image assessment method of osteosarcoma chemotherapy efficacy for clinical treatment,as existing methos have low accuracy of osteosarcoma assessment.Methods The low incidence of osteosarcoma led to the small scale of its imaging data and the problem of imbalance in data categories.This study combined deep learning with clinical medical information,combined the bone sarcoma generation module of BoneGAN and the scale lesion information capture module,and proposed OMLA-Net,a deep learning assessment network for chemotherapy effect of bone sarcoma based on multi-scale lesion attention network,which achieved computer-aided bone tumor assessment with integrated data augmentation and focused lesion information through pre-training and generalized loss training.Results In this study,40 cases of osteosarcoma MRI data were used as the basis for the comparison test on the generated dataset,and the OMLA-Net assessment outperformed the SOTA method Conv-LSTM-GAN in terms of the assessment effects such as accuracy and F1 scores,and the difference was statistically significant(Bootstrap statistical method P＜0.05);the subsequent K-fold cross-validation ablation experiments further demonstrated the effectiveness of each module proposed by OMLA-Net.Conclusion OMLA-Net can effectively perform the impact assessment of chemotherapy effect on osteosarcoma,which provides a new idea for subsequent clinical application.

Objective To explore the mechanism of action of jolkinolide B in the treatment of gastric cancer by network pharmacology combined with molecular docking technique.Methods The SwissTargetPrediction database was used to obtain the targets of the active compounds.Search Genecards,OMIM,Drugbank,TTD,and PharmGKB databases to obtain targets for gastric cancer.The intersection between the targets of jolkinolide B and those of gastric cancer was identified pinpoint potential targets for jolkinolide B in treating gastric cancer.The String database was utilized construct a protein-protein interaction(PPI)network.Bioconductor bioinformatics packages with R software was employed conduct Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis on the shared targets.This process revealed significant regulatory pathways crucial for jolkinolide B's efficacy in treating gastric cancer.Cytoscape 3.7.1 software was utilized create the core network of"Potential Targets of Triptolide B in Gastric Cancer Treatment",and SYBYL-X2.1.1 software was employed conduct molecular docking validation of the selected main active ingredients and critical targets.Results Jolkinolide B may target multiple proteins,including MAPK1,glycogen synthase kinae-3β(GSK-3β),and JUN,impacting the proliferation,invasion,and metastasis of gastric cancer,ultimately inhibiting its growth.Conclusion We predicted the possible molecular mechanism of jolkinolide B in the treatment of gastric cancer to provide guide information for the subsequent experimental research and clinical application.

Objective To explore the mechanism of cinobufagin(CBG)in treating gastric cancer based on network pharmacology combined with bioinformatics and molecular docking technology.Methods Active ingredients and potential targets of CBG in treating gastric cancer were collected from PubChem,TCMSP,and SwissTargetPrediction databases.Transcriptional data of gastric cancer samples were obtained from TGGA database,and gastric cancer-related targets were identified through differential gene analysis.Intersection of targets between CBG and gastric cancer diseases was subjected to Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis.Protein-protein interaction(PPI)network of common targets was constructed using STRING database,and core targets were selected using Cytoscape software.Molecular docking verification of core targets screened with SYBYL-X 2.1.1 software was conducted with CBG.Results CBG treatment of gastric cancer involved 59 targets,with 19 key targets identified.Key targets such as aurora kinase A(AURKA),cyclin-dependent kinase 1(CDK1),enhancer of zeste homolog 2(EZH2),hepatocyte growth factor receptor(MET),matrix metallopeptidase 3(MMP-3),progesterone receptor(PGR),prostaglandin-endoperoxide synthase 1(PTGS1),and thymidylate synthase(TYMS)which exhibited good binding activity with CBG and were closely associated with gastric cancer prognosis.Conclusion CBG may exert anti-gastric cancer effects through multiple targets and pathways.

Homeobox(HOX)genes encode a group of proteins that are highly conserved and closely related to the axial differentiation of embryos.The disorder of segmental development caused by HOX genes deficiency or abnormal expression has been observed in drosophila and mice.However,subsequent studies have found that proteins encoded by the HOX gene family are also involved in the regulation of tumor genesis and development.The roles of the whole HOX family had been reviewed by the author in the past,and through the in-depth researches,the author paid attention to the pivotal role of HOXB9 and made new progress in the study of post-translational modifications of this protein.Taking HOXB9 as a clue,this review summarizes the tumor-related signaling pathways and the modulating effects of post-translational modification of HOXB9 on tumor progression,as well as the possible research directions in the future.

Integrins are transmembrane receptors that can coordinate signal transduction between cells and extracellular matrix or between cells.The abnormal function of integrins is one of the recognized mechanisms of tumor development.As an important regulatory mode,post-translational modification can change the conformation and physicochemical properties of proteins,thus affecting their activities,stability and functions.After the modification of the integrin,such as glycosylation and methylation,the corresponding signal transduction pathway changes,and then affects cell adhesion,migration,differentiation and other life activities,involving in diverse physiology and pathological processes.Post-translational modifications of integrins are abundant in tumor progression and play a key role in regulating the growth,metastasis and drug resistance of different tumor cells.In this review,the structure and function,post-translational modification of integrins,and their relationship with occurrence and development of tumors will be discussed,in order to provide more explorable targets for the treatment of cancer.

Glioblastoma multiforme(GBM)is the most common primary malignant brain tumor of the central nervous system in adults,with a median survival of less than 15 months.The tumor microenvironment(TME)of GBM includes extracellular matrix and a variety of immune cells,including tumor-associated macrophages,microglia and myeloid-derived suppressor cells.The interaction between these cells and tumor cells plays a key role in the occurrence and development of GBM.The heterogeneity of GBM microenvironment is one of the main reasons for the poor efficacy of many therapies.Therefore,understanding the interaction between GBM and its tumor microenvironment is helpful to explore new targeted therapeutic strategies,which is expected to provide better treatment options for patients,thereby improving patient prognosis.