[Objectives]This study was conducted to evaluate the immunization efficacy and infection status of classical swine fever(CSF),foot-and-mouth disease(FMD),porcine reproductive and respiratory syndrome(PRRS),pseudorabie...[Objectives]This study was conducted to evaluate the immunization efficacy and infection status of classical swine fever(CSF),foot-and-mouth disease(FMD),porcine reproductive and respiratory syndrome(PRRS),pseudorabies(PR),and porcine circovirus type 2(PCV2)in large-scale pig farms.[Methods]Antibody and pathogen detection was performed on 56 serum samples collected in March 2025.[Results]The antibody qualification rates for CSF,FMD,and PRRS were 76.8%,73.2%,and 76.8%,respectively,all meeting the national standards.However,nursery pigs exhibited an immunity gap,indicating a need for timely booster vaccinations.No PRV gE antibodies or PCV2 antibodies were detected,reflecting the absence of vaccination against these diseases and suggesting significant effectiveness of comprehensive biosecurity measures.The low antibody qualification rate for PRRS in the nursery stage highlights the need for improved immunization management.[Conclusions]This study provides data support and practical insights for integrated disease prevention and control in large-scale pig farms.展开更多
BACKGROUND Over the past few years,research into the pathogenesis of colon cancer has progressed rapidly,and cuproptosis is an emerging mode of cellular apoptosis.Exploring the relationship between colon cancer and cu...BACKGROUND Over the past few years,research into the pathogenesis of colon cancer has progressed rapidly,and cuproptosis is an emerging mode of cellular apoptosis.Exploring the relationship between colon cancer and cuproptosis benefits in identifying novel biomarkers and even improving the outcome of the disease.AIM To look at the prognostic relationship between colon cancer and the genes associated with cuproptosis and the immune system in patients.The main purpose was to assess whether reasonable induction of these biomarkers reduces mortality among patients with colon cancers.METHOD Data obtained from The Cancer Genome Atlas and Gene Expression Omnibus and the Genotype-Tissue Expression were used in differential analysis to explore differential expression genes associated with cuproptosis and immune activation.The least absolute shrinkage and selection operator and Cox regression algorithm was applied to build a cuproptosis-and immune-related combination model,and the model was utilized for principal component analysis and survival analysis to observe the survival and prognosis of the patients.A series of statistically meaningful transcriptional analysis results demonstrated an intrinsic relationship between cuproptosis and the micro-environment of colon cancer.RESULTS Once prognostic characteristics were obtained,the CDKN2A and DLAT genes related to cuproptosis were strongly linked to colon cancer:The first was a risk factor,whereas the second was a protective factor.The finding of the validation analysis showed that the comprehensive model associated with cuproptosis and immunity was statistically significant.Within the component expressions,the expressions of HSPA1A,CDKN2A,and UCN3 differed markedly.Transcription analysis primarily reflects the differential activation of related immune cells and pathways.Furthermore,genes linked to immune checkpoint inhibitors were expressed differently between the subgroups,which may reveal the mechanism of worse prognosis and the different sensitivities of chemotherapy.CONCLUSION The prognosis of the high-risk group evaluated in the combined model was poorer,and cuproptosis was highly correlated with the prognosis of colon cancer.It is possible that we may be able to improve patients’prognosis by regulating the gene expression to intervene the risk score.展开更多
AIM:To identify metastasis-associated prognostic genes and construct a robust molecular signature for survival prediction in uveal melanoma(UVM)patients.METHODS:Transcriptomic data and clinical information from 80 UVM...AIM:To identify metastasis-associated prognostic genes and construct a robust molecular signature for survival prediction in uveal melanoma(UVM)patients.METHODS:Transcriptomic data and clinical information from 80 UVM patients in the Cancer Genome Atlas(TCGA)-UVM cohort and an external Gene Expression Omnibus(GEO)microarray dataset(GSE73652;8 non-metastatic vs 5 metastatic cases)were analyzed to identify differentially expressed genes(DEGs).Functional enrichment,proteinprotein interaction(PPI)network construction,and survival analyses identified seven metastasis-and prognosisrelated genes.Their expression was further examined using public single-cell RNA-seq data(GSE139829;11 tumors).Experimental validation was performed in UVM cell lines(92.1,OMM1,MEL270)and adult retinal pigment epithelial(ARPE-19)cells using quantitative real-time polymerase chain reaction(qRT-PCR)and Western blotting to confirm transcriptomic trends.A LASSO Cox model was applied to construct a metastasis-related risk Score signature.Tumor immune microenvironment characteristics were evaluated via single-sample gene set enrichment analysis(ssGSEA)and ESTIMATE.Somatic mutation and copy number variation(CNV)profiles were also examined.RESULTS:Seven key genes(UBE2T,KIF20A,DLGAP5,KLC3,TPX2,UBE2C,AURKA)were significantly associated with overall survival and used to construct a metastasisrelated riskScore signature,which effectively stratified patients into high-and low-risk groups and served as an independent prognostic factor.qRT-PCR and Western blot results confirmed that the expression levels of selected key genes in UVM cell lines showed significant differences compared to ARPE-19 cells,which were largely consistent with the transcriptomic findings.The high-risk group exhibited reduced immune infiltration and stromal activity.Single-cell analysis revealed these genes were predominantly expressed in a tumor cell cluster characterized by BAP1 loss and high metastatic potential.Mutation and CNV analyses further supported the relevance of these genes to UVM progression.CONCLUSION:This study establishes and validates a seven-gene signature associated with metastasis and prognosis in UVM.The findings provide a framework for understanding molecular determinants of tumor progression and immune microenvironment alterations,and may offer guidance for future mechanistic studies and therapeutic exploration.展开更多
基金Supported by Guizhou Provincial Department of Agriculture and Rural Affairs Project(QNYZZZ[2017]No.12,GZSZCYJSTX-04)2025 Quality Supervision and Sampling Project of Normal Temperature Semen for Breeding Pigs(2025-1-10).
文摘[Objectives]This study was conducted to evaluate the immunization efficacy and infection status of classical swine fever(CSF),foot-and-mouth disease(FMD),porcine reproductive and respiratory syndrome(PRRS),pseudorabies(PR),and porcine circovirus type 2(PCV2)in large-scale pig farms.[Methods]Antibody and pathogen detection was performed on 56 serum samples collected in March 2025.[Results]The antibody qualification rates for CSF,FMD,and PRRS were 76.8%,73.2%,and 76.8%,respectively,all meeting the national standards.However,nursery pigs exhibited an immunity gap,indicating a need for timely booster vaccinations.No PRV gE antibodies or PCV2 antibodies were detected,reflecting the absence of vaccination against these diseases and suggesting significant effectiveness of comprehensive biosecurity measures.The low antibody qualification rate for PRRS in the nursery stage highlights the need for improved immunization management.[Conclusions]This study provides data support and practical insights for integrated disease prevention and control in large-scale pig farms.
文摘BACKGROUND Over the past few years,research into the pathogenesis of colon cancer has progressed rapidly,and cuproptosis is an emerging mode of cellular apoptosis.Exploring the relationship between colon cancer and cuproptosis benefits in identifying novel biomarkers and even improving the outcome of the disease.AIM To look at the prognostic relationship between colon cancer and the genes associated with cuproptosis and the immune system in patients.The main purpose was to assess whether reasonable induction of these biomarkers reduces mortality among patients with colon cancers.METHOD Data obtained from The Cancer Genome Atlas and Gene Expression Omnibus and the Genotype-Tissue Expression were used in differential analysis to explore differential expression genes associated with cuproptosis and immune activation.The least absolute shrinkage and selection operator and Cox regression algorithm was applied to build a cuproptosis-and immune-related combination model,and the model was utilized for principal component analysis and survival analysis to observe the survival and prognosis of the patients.A series of statistically meaningful transcriptional analysis results demonstrated an intrinsic relationship between cuproptosis and the micro-environment of colon cancer.RESULTS Once prognostic characteristics were obtained,the CDKN2A and DLAT genes related to cuproptosis were strongly linked to colon cancer:The first was a risk factor,whereas the second was a protective factor.The finding of the validation analysis showed that the comprehensive model associated with cuproptosis and immunity was statistically significant.Within the component expressions,the expressions of HSPA1A,CDKN2A,and UCN3 differed markedly.Transcription analysis primarily reflects the differential activation of related immune cells and pathways.Furthermore,genes linked to immune checkpoint inhibitors were expressed differently between the subgroups,which may reveal the mechanism of worse prognosis and the different sensitivities of chemotherapy.CONCLUSION The prognosis of the high-risk group evaluated in the combined model was poorer,and cuproptosis was highly correlated with the prognosis of colon cancer.It is possible that we may be able to improve patients’prognosis by regulating the gene expression to intervene the risk score.
基金Supported by the National Natural Science Foundation of China(No.82460215)National Natural Science Foundation of China Pre-experimental Project(No.2025GZRYSY006)+4 种基金2025 Youth Training Project of the Xi’an Municipal Health Commission(No.2025qn05)Xi’an Medical Research-Discipline Capacity Building Project(No.23YXYJ0002)Key R&D Plan of Shaanxi Province:Key Industrial Innovation Chain(Cluster)-Social Development Field(No.2022ZDLSF03-10)Research Incubation Fund of Xi’an People’s Hospital(Xi’an Fourth HospitalNo.LH-13).
文摘AIM:To identify metastasis-associated prognostic genes and construct a robust molecular signature for survival prediction in uveal melanoma(UVM)patients.METHODS:Transcriptomic data and clinical information from 80 UVM patients in the Cancer Genome Atlas(TCGA)-UVM cohort and an external Gene Expression Omnibus(GEO)microarray dataset(GSE73652;8 non-metastatic vs 5 metastatic cases)were analyzed to identify differentially expressed genes(DEGs).Functional enrichment,proteinprotein interaction(PPI)network construction,and survival analyses identified seven metastasis-and prognosisrelated genes.Their expression was further examined using public single-cell RNA-seq data(GSE139829;11 tumors).Experimental validation was performed in UVM cell lines(92.1,OMM1,MEL270)and adult retinal pigment epithelial(ARPE-19)cells using quantitative real-time polymerase chain reaction(qRT-PCR)and Western blotting to confirm transcriptomic trends.A LASSO Cox model was applied to construct a metastasis-related risk Score signature.Tumor immune microenvironment characteristics were evaluated via single-sample gene set enrichment analysis(ssGSEA)and ESTIMATE.Somatic mutation and copy number variation(CNV)profiles were also examined.RESULTS:Seven key genes(UBE2T,KIF20A,DLGAP5,KLC3,TPX2,UBE2C,AURKA)were significantly associated with overall survival and used to construct a metastasisrelated riskScore signature,which effectively stratified patients into high-and low-risk groups and served as an independent prognostic factor.qRT-PCR and Western blot results confirmed that the expression levels of selected key genes in UVM cell lines showed significant differences compared to ARPE-19 cells,which were largely consistent with the transcriptomic findings.The high-risk group exhibited reduced immune infiltration and stromal activity.Single-cell analysis revealed these genes were predominantly expressed in a tumor cell cluster characterized by BAP1 loss and high metastatic potential.Mutation and CNV analyses further supported the relevance of these genes to UVM progression.CONCLUSION:This study establishes and validates a seven-gene signature associated with metastasis and prognosis in UVM.The findings provide a framework for understanding molecular determinants of tumor progression and immune microenvironment alterations,and may offer guidance for future mechanistic studies and therapeutic exploration.
