The growing demand for international travel has highlighted the critical need for reliable tools to verify travelers’healthcare status and meet entry requirements.Personal health passports,while essential,face signif...The growing demand for international travel has highlighted the critical need for reliable tools to verify travelers’healthcare status and meet entry requirements.Personal health passports,while essential,face significant challenges related to data silos,privacy protection,and forgery risks in global sharing.To address these issues,this study proposes a blockchain-based solution designed for the secure storage,sharing,and verification of personal health passports.This innovative approach combines on-chain and off-chain storage,leveraging searchable encryption to enhance data security and optimize blockchain storage efficiency.By reducing the storage burden on the blockchain,the system ensures both the secure handling and reliable sharing of sensitive personal health data.An optimized consensus mechanism streamlines the process into two stages,minimizing communication complexity among nodes and significantly improving the throughput of the blockchain system.Additionally,the introduction of advanced aggregate signature technology accommodates multi-user scenarios,reducing computational overhead for signature verification and enabling swift identification ofmalicious forgers.Comprehensive security analyses validate the system’s robustness and reliability.Simulation results demonstrate notable performance improvements over existing solutions,with reductions in computational overhead of up to 49.89%and communication overhead of up to 25.81%inmulti-user scenarios.Furthermore,the optimized consensus mechanism shows substantial efficiency gains across varying node configurations.This solution represents a significant step toward addressing the pressing challenges of health passport management in a secure,scalable,and efficient manner.展开更多
Lysosomal dysfunction has been implicated in the progression of colon adenocarcinoma(COAD),yet the prognostic significance and therapeutic potential of lysosome-related genes(LRGs)remain underexplored.In this study,we...Lysosomal dysfunction has been implicated in the progression of colon adenocarcinoma(COAD),yet the prognostic significance and therapeutic potential of lysosome-related genes(LRGs)remain underexplored.In this study,we construct a 6-LRG-based prognostic risk stratification model(DPP7,ADAM8,CD1B,LRP2,ATP6V1C2,and PLAAT3)by integrating LASSO and Cox regression analyses.Stratifying patients based on median risk scores,we demonstrate that high-risk patients exhibit significantly worse clinical outcomes across the TCGA cohort and five independent GEO datasets.Furthermore,this panel outperforms 136 previously published models in terms of predictive accuracy for 1-,3-,and 5-year survival rates.Validation multiplex immunofluorescence using an in-house tissue microarray cohort confirms that the 6-LRG signature serves as an independent prognostic factor.Additionally,high-risk patients exhibit distinct immunosuppressive tumor microenvironment and aggressive malignancy characteristics.Functional depletion of DPP7 significantly inhibits tumor cell proliferation,migration,and metastasis in both in vitro and in vivo settings.Moreover,DPP7 silencing attenuates epithelialemesenchymal transition,as evidenced by the upregulation of E-cadherin and downregulation of N-cadherin,Vimentin,and Snail.In conclusion,this study establishes an LRG-based model for COAD prognostic prediction and nominates DPP7 as a promising therapeutic target for COAD treatment.展开更多
目的探索慢性失眠、抑郁状态伴失眠患者中血清S100钙结合蛋白β(S100 calcium binding protein beta,S100β)和二肽基肽酶4(Dipeptidyl peptidase-4,DPP-4)水平的改变,并评估其作为判断慢性失眠、抑郁状态伴失眠生物标志物的临床价值。...目的探索慢性失眠、抑郁状态伴失眠患者中血清S100钙结合蛋白β(S100 calcium binding protein beta,S100β)和二肽基肽酶4(Dipeptidyl peptidase-4,DPP-4)水平的改变,并评估其作为判断慢性失眠、抑郁状态伴失眠生物标志物的临床价值。方法纳入南华大学附属南华医院的慢性失眠、抑郁状态伴失眠患者采取临床诊断和抑郁筛查自测量表(Patient Health Questionnaire,PHQ-9)和失眠严重程度指数量表(Insomnia Severity Index,ISI)方式,将被试者分为失眠组(n=64)和抑郁状态伴失眠组(n=110),同期选取心理评估正常的健康体检者作为正常组(n=64)。采用ELISA检测三组的血清S100β和DPP-4水平,比较三组在基线期的差异,并纵向比较患者组治疗前后指标变化;采用皮尔逊相关分析探索血清指标与抑郁和失眠症状的相关性;通过ROC曲线评估两项指标对失眠组、抑郁状态伴失眠组的诊断价值。结果三组间一般资料比较无统计学差异;三组的血清S100β和DPP-4水平存在明显差异,且呈现为正常组<失眠组<抑郁状态伴失眠组(P均<0.05),且患者组的血清S100β和DPP-4水平与PHQ-9和ISI评分呈正相关(r=0.209~0.479,P<0.05);ROC曲线模型检验提示慢性失眠患者S100β曲线下面积为0.746,DPP-4的曲线下面积为0.785;抑郁状态伴失眠的患者中S100β曲线下面积为0.651,DPP-4的曲线下面积为0.636。患者组予以改善睡眠、抗抑郁等治疗后,两组PHQ-9和/或ISI评分明显减低,S100β和DPP-4(P<0.001)水平明显降低。结论慢性失眠、抑郁状态伴失眠患者的血清S100β、DPP-4水平升高;血清S100β和DPP-4水平有望成为判断慢性失眠、抑郁状态伴失眠的潜在生物标志物。展开更多
文摘The growing demand for international travel has highlighted the critical need for reliable tools to verify travelers’healthcare status and meet entry requirements.Personal health passports,while essential,face significant challenges related to data silos,privacy protection,and forgery risks in global sharing.To address these issues,this study proposes a blockchain-based solution designed for the secure storage,sharing,and verification of personal health passports.This innovative approach combines on-chain and off-chain storage,leveraging searchable encryption to enhance data security and optimize blockchain storage efficiency.By reducing the storage burden on the blockchain,the system ensures both the secure handling and reliable sharing of sensitive personal health data.An optimized consensus mechanism streamlines the process into two stages,minimizing communication complexity among nodes and significantly improving the throughput of the blockchain system.Additionally,the introduction of advanced aggregate signature technology accommodates multi-user scenarios,reducing computational overhead for signature verification and enabling swift identification ofmalicious forgers.Comprehensive security analyses validate the system’s robustness and reliability.Simulation results demonstrate notable performance improvements over existing solutions,with reductions in computational overhead of up to 49.89%and communication overhead of up to 25.81%inmulti-user scenarios.Furthermore,the optimized consensus mechanism shows substantial efficiency gains across varying node configurations.This solution represents a significant step toward addressing the pressing challenges of health passport management in a secure,scalable,and efficient manner.
基金supported by the Natural Science Foundation of Shandong Province(ZR2021MH110,ZR2020MH257,ZR2020MH323)the National Natural Science Foundation of China(82172339 and 82272410)+1 种基金Major Scientific and Technological Innovation Project of Shandong Province(2021CXGC010603 and 2021CXGC011105)Taishan Scholar Program of Shandong Province(tstp20221156 and tsqn202306346).
文摘Lysosomal dysfunction has been implicated in the progression of colon adenocarcinoma(COAD),yet the prognostic significance and therapeutic potential of lysosome-related genes(LRGs)remain underexplored.In this study,we construct a 6-LRG-based prognostic risk stratification model(DPP7,ADAM8,CD1B,LRP2,ATP6V1C2,and PLAAT3)by integrating LASSO and Cox regression analyses.Stratifying patients based on median risk scores,we demonstrate that high-risk patients exhibit significantly worse clinical outcomes across the TCGA cohort and five independent GEO datasets.Furthermore,this panel outperforms 136 previously published models in terms of predictive accuracy for 1-,3-,and 5-year survival rates.Validation multiplex immunofluorescence using an in-house tissue microarray cohort confirms that the 6-LRG signature serves as an independent prognostic factor.Additionally,high-risk patients exhibit distinct immunosuppressive tumor microenvironment and aggressive malignancy characteristics.Functional depletion of DPP7 significantly inhibits tumor cell proliferation,migration,and metastasis in both in vitro and in vivo settings.Moreover,DPP7 silencing attenuates epithelialemesenchymal transition,as evidenced by the upregulation of E-cadherin and downregulation of N-cadherin,Vimentin,and Snail.In conclusion,this study establishes an LRG-based model for COAD prognostic prediction and nominates DPP7 as a promising therapeutic target for COAD treatment.
文摘目的探索慢性失眠、抑郁状态伴失眠患者中血清S100钙结合蛋白β(S100 calcium binding protein beta,S100β)和二肽基肽酶4(Dipeptidyl peptidase-4,DPP-4)水平的改变,并评估其作为判断慢性失眠、抑郁状态伴失眠生物标志物的临床价值。方法纳入南华大学附属南华医院的慢性失眠、抑郁状态伴失眠患者采取临床诊断和抑郁筛查自测量表(Patient Health Questionnaire,PHQ-9)和失眠严重程度指数量表(Insomnia Severity Index,ISI)方式,将被试者分为失眠组(n=64)和抑郁状态伴失眠组(n=110),同期选取心理评估正常的健康体检者作为正常组(n=64)。采用ELISA检测三组的血清S100β和DPP-4水平,比较三组在基线期的差异,并纵向比较患者组治疗前后指标变化;采用皮尔逊相关分析探索血清指标与抑郁和失眠症状的相关性;通过ROC曲线评估两项指标对失眠组、抑郁状态伴失眠组的诊断价值。结果三组间一般资料比较无统计学差异;三组的血清S100β和DPP-4水平存在明显差异,且呈现为正常组<失眠组<抑郁状态伴失眠组(P均<0.05),且患者组的血清S100β和DPP-4水平与PHQ-9和ISI评分呈正相关(r=0.209~0.479,P<0.05);ROC曲线模型检验提示慢性失眠患者S100β曲线下面积为0.746,DPP-4的曲线下面积为0.785;抑郁状态伴失眠的患者中S100β曲线下面积为0.651,DPP-4的曲线下面积为0.636。患者组予以改善睡眠、抗抑郁等治疗后,两组PHQ-9和/或ISI评分明显减低,S100β和DPP-4(P<0.001)水平明显降低。结论慢性失眠、抑郁状态伴失眠患者的血清S100β、DPP-4水平升高;血清S100β和DPP-4水平有望成为判断慢性失眠、抑郁状态伴失眠的潜在生物标志物。
