Objective To integrate patient clinical information with single-cell sequencing analysis to identify key genes involved in organic erectile dysfunction(ED)in diabetic patients,and to further validate these findings using genome-wide association study(GWAS)data to pinpoint the genes associated with diabetic organic ED.Methods Single-cell RNA sequen-cing data were downloaded from the GSE206528 dataset,comprising samples from five patients including three individuals with-out ED or diabetes,and two patients diagnosed with diabetic ED.Data preprocessing,cell clustering,and annotation were per-formed using R,followed by extraction of microvascular endothelial cells for differential expression analysis.Enrichment analysis of the identified differentially expressed genes(DEGs)was conducted using the Hiplot platform.Expression quantitative trait loci(eQTL)single nucleotide polymorphisms(SNPs)corresponding to these DEGs were retrieved from the UK Biobank(UKB)da-tabase as exposures.ED(GWAS ID:ebi-a-GCST006956)was defined as the outcome variable.Mendelian randomization(MR)analysis was then performed to identify potential causal genes.Results Using the Seurat package,single-cell RNA se-quencing data from the five patients underwent quality control and integration.After cell type identification,a subset of microvas-cular endothelial cells was selected for differential expression analysis,resulting in the identification of 214 DEGs.Functional enrichment analysis revealed that these genes were significantly enriched in pathways related to diabetic complications,including the AGE-RAGE signaling pathway,TNF signaling pathway,and oxidative phosphorylation.Subsequently,MR analysis was per-formed on the 214 DEGs,using erectile dysfunction(ebi-a-GCST006956)as the outcome.Six genes were identified as potential causal genes including MYL9,NFIB,ENDOD1,DES,NRARP and HSPA1B.Conclusion These findings suggest that MYL9,NFIB,ENDOD1,DES,NRARP and HSPA1B may play a role in the progression of organic ED in diabetic patients.

Objective To observe the impact of chat generative pre-trained transformer(ChatGPT)-based simulated emergency medical communication training on the communication skills of junior residents and compare patient satisfaction differences among physicians of different seniority levels in emergency scenarios.Methods A prospective controlled study was conducted,enrolling 32 newly hired junior residents from Shanghai Chest Hospital Affiliated Shanghai Jiao Tong University School of Medicine.Participants were divided into a trained junior resident group and an untrained junior resident group using a random number table method,16 physicians in each group.16 attending physicians(attending physician group)from the same hospital during the same period served as controls.The trained junior resident group underwent a 1-month ChatGPT-based simulation training covering emergency scenarios,including multilingual dialogue,emotional support,and cross-cultural communication.Patient satisfaction was assessed via anonymous questionnaires evaluating clarity of communication,empathy,emotional support,and information completeness.Compare the differences in patient satisfaction scores among different groups of physicians.Results Compared with the untrained junior resident group,the trained junior resident group and the attending physician group exhibited significantly higher patient satisfaction scores(4.50±0.28,4.45±0.25 vs.3.80±0.41,both P<0.05).Conclusion ChatGPT-based simulation training significantly enhances emergency medical communication skills in junior residents.These findings suggest that integrating ChatGPT into clinical teaching could optimize patient-physician interaction quality.

Objective To observe the impact of chat generative pre-trained transformer(ChatGPT)-based simulated emergency medical communication training on the communication skills of junior residents and compare patient satisfaction differences among physicians of different seniority levels in emergency scenarios.Methods A prospective controlled study was conducted,enrolling 32 newly hired junior residents from Shanghai Chest Hospital Affiliated Shanghai Jiao Tong University School of Medicine.Participants were divided into a trained junior resident group and an untrained junior resident group using a random number table method,16 physicians in each group.16 attending physicians(attending physician group)from the same hospital during the same period served as controls.The trained junior resident group underwent a 1-month ChatGPT-based simulation training covering emergency scenarios,including multilingual dialogue,emotional support,and cross-cultural communication.Patient satisfaction was assessed via anonymous questionnaires evaluating clarity of communication,empathy,emotional support,and information completeness.Compare the differences in patient satisfaction scores among different groups of physicians.Results Compared with the untrained junior resident group,the trained junior resident group and the attending physician group exhibited significantly higher patient satisfaction scores(4.50±0.28,4.45±0.25 vs.3.80±0.41,both P<0.05).Conclusion ChatGPT-based simulation training significantly enhances emergency medical communication skills in junior residents.These findings suggest that integrating ChatGPT into clinical teaching could optimize patient-physician interaction quality.

Objective To integrate patient clinical information with single-cell sequencing analysis to identify key genes involved in organic erectile dysfunction(ED)in diabetic patients,and to further validate these findings using genome-wide association study(GWAS)data to pinpoint the genes associated with diabetic organic ED.Methods Single-cell RNA sequen-cing data were downloaded from the GSE206528 dataset,comprising samples from five patients including three individuals with-out ED or diabetes,and two patients diagnosed with diabetic ED.Data preprocessing,cell clustering,and annotation were per-formed using R,followed by extraction of microvascular endothelial cells for differential expression analysis.Enrichment analysis of the identified differentially expressed genes(DEGs)was conducted using the Hiplot platform.Expression quantitative trait loci(eQTL)single nucleotide polymorphisms(SNPs)corresponding to these DEGs were retrieved from the UK Biobank(UKB)da-tabase as exposures.ED(GWAS ID:ebi-a-GCST006956)was defined as the outcome variable.Mendelian randomization(MR)analysis was then performed to identify potential causal genes.Results Using the Seurat package,single-cell RNA se-quencing data from the five patients underwent quality control and integration.After cell type identification,a subset of microvas-cular endothelial cells was selected for differential expression analysis,resulting in the identification of 214 DEGs.Functional enrichment analysis revealed that these genes were significantly enriched in pathways related to diabetic complications,including the AGE-RAGE signaling pathway,TNF signaling pathway,and oxidative phosphorylation.Subsequently,MR analysis was per-formed on the 214 DEGs,using erectile dysfunction(ebi-a-GCST006956)as the outcome.Six genes were identified as potential causal genes including MYL9,NFIB,ENDOD1,DES,NRARP and HSPA1B.Conclusion These findings suggest that MYL9,NFIB,ENDOD1,DES,NRARP and HSPA1B may play a role in the progression of organic ED in diabetic patients.

Dry eye is the most common eye illness which manifests as a chronic inflammation on ocular surface and imposes significant threat to vision.Though dry eye is high prevalent,specific medication to treat this refractory disorder is very limited.The paucity of new drugs available can be attributed to wide range of severity distribution as well as lack of appropriate animal model.Animal disease model plays a significant role in preclinical drug screening and testing prior to clinical trial.Various techniques have been explored to create dry eye models for drug testing,including surgical removal of lacrimal gland,systemic or local drug induction,autoimmune eliciting,and genetic manipulation.This article reviewed the important dry eye models and their roles in development of dry eye drugs to provide insight and inspiration for clinicians and researchers.

Dry eye is the most common eye illness which manifests as a chronic inflammation on ocular surface and imposes significant threat to vision. Though dry eye is high prevalent, specific medication to treat this refractory disorder is very limited. The paucity of new drugs available can be attributed to wide range of severity distribution as well as lack of appropriate animal model. Animal disease model plays a significant role in preclinical drug screening and testing prior to clinical trial. Various techniques have been explored to create dry eye models for drug testing,including surgical removal of lacrimal gland,systemic or local drug induction,autoimmune eliciting,and genetic manipulation. This article reviewed the important dry eye models and their roles in development of dry eye drugs to provide insight and inspiration for clinicians and researchers.