Although some genes that cause Kallmann syndrome （KS） have been identified by traditional linkage analysis and candidate gene techniques, the syndrome＇s molecular etiology in the majority of patients remains poorly...Although some genes that cause Kallmann syndrome （KS） have been identified by traditional linkage analysis and candidate gene techniques, the syndrome＇s molecular etiology in the majority of patients remains poorly understood. In this paper, we present the clinical assessments of a consanguineous Hart Chinese family with three KS descendants. To understand the molecular etiology of KS from a genome-wide perspective, we investigated the genome-wide profile of structural variation in this family using the Affymetrix Genome-Wide Human SNP Array 6.0 platform. The results revealed that the three affected individuals had common copy number variants （microdeletions） on chromosomes lp21.1, 2q32.2, 8q21.13, 14q21.2 and Xp22.31. Moreover, the copy number variants on Xp22.31 were located in the intron of KAL 1, which causes X-linked KS. Two PCR assays were performed on these regions to validate the results obtained using the chips. In addition, genomic microdeletions in this region were verified in one of 29 Han Chinese sporadic KS cases and one of four other family cases, but not in 26 Han Chinese sporadic normosmic idiopathic hypogonadotropic hypogonadism cases and 100 unrelated Han Chinese normal controls. Our results provide a novel insight into the relative contributions of certain copy number variants to KS＇s molecular etiology and generate a list of interesting candidate regions for further studies.展开更多
OBJECTIVE:To observe the curative effect of a recipe for warming the kidney and fortifying the spleen on diarrhea-predominant irritable bowel syndrome(IBS-D).METHODS:This multi-center,double-blind,randomized,and contr...OBJECTIVE:To observe the curative effect of a recipe for warming the kidney and fortifying the spleen on diarrhea-predominant irritable bowel syndrome(IBS-D).METHODS:This multi-center,double-blind,randomized,and controlled trial included 240 patients that met the inclusion criterion and were then divided into two groups of 120.Patients in the treatment group(group A)took modified Sishen Wan orally for warming the kidney and fortifying the spleen and patients in the control group(group B)took a placebo,Chao Maiya,for 4 weeks.28 days after withdrawal,there was a 6-month follow-up to observe patient recurrence condition.The total effective rate,curative effect,and recurrence rate were evaluated after treatment.RESULTS:There was statistical difference(P<0.01)between the two groups in total effective rate(92.24%in the treatment group and 49.07%in the control group),in curative effect of TCM syndrome(90.52%and 47.22%,respectively),and in the recurrence rate(15.79%and 56.86%,respectively)within6 months after treatment.CONCLUSION:Modified Sishen Wan,for warming the kidney and fortifying the spleen,can effectively treat IBS-D and better control its recurrence.展开更多
[Objective] The study aimed to discuss the application of boron-doped diamond （BDD） film electrode in fast detection of samonella in water. [ Method] Boron-doped diamond film electrode was prepared and used as the w...[Objective] The study aimed to discuss the application of boron-doped diamond （BDD） film electrode in fast detection of samonella in water. [ Method] Boron-doped diamond film electrode was prepared and used as the working electrode in fast detection of salmonella in water using chronoamberometry, and the oxidation mechanism of the electrode acting on salmonella was discussed. [ Result] Compared with traditional biologi- cal methods, chronoamperometry could detect the number of salmonellae in water more simply, rapidly and sensitively. [ Conclusion] The method of using BDD electrode to detect salmonella quantity will be widely applied in future.展开更多
Metal-organic frameworks(MOFs)hold significant potential as vehicles for drug delivery due to their expansive specific surface area,biocompatibility,and versatile attributes.Concurrently,magnetically actuated micro/na...Metal-organic frameworks(MOFs)hold significant potential as vehicles for drug delivery due to their expansive specific surface area,biocompatibility,and versatile attributes.Concurrently,magnetically actuated micro/nano-robots(MNRs)offer distinct advantages,such as untethered and precise manipulation.The fusion of these technologies presents a promising avenue for achieving non-invasive targeted drug delivery.Here,we report a MOF-based magnetic microrobot swarm(MMRS)for targeted therapy.Our approach overcomes limitations associated with a single MNR,including limited drug loading and the risk of loss during manipulation.We select Zeolitic Imidazolate Framework-8(ZIF-8)as the drug vehicle for its superior loading potential and p H-sensitive decomposition.Our design incorporates magnetic responsive components into the one-pot synthesis of Fe@ZIF-8,enabling collective behaviors under actuation.Tuning the yaw angle of alternating magnetic fields and nanoparticles'amount,the MMRSs with controllable size achieve instantaneous transformation among different configurations,including vortex-like swarms,chain-like swarms,and elliptical swarms,facilitating adaptation to environmental variations.Transported to the subcutaneous T24 tumor site,the MMRSs with encapsulated doxorubicin(DOX)automatically degrade and release the drug,leading to a dramatic reduction of the tumor in vivo.Our investigation signifies a significant advancement in the integration of biodegradable MOFs into microrobot swarms,ushering in new avenues for accurate and non-invasive targeted drug delivery.展开更多
Based on daily data about Bitcoin and six other major financial assets(stocks,commodity futures(commodities),gold,foreign exchange(FX),monetary assets,and bonds)in China from 2013 to 2017,we use a VAR-GARCH-BEKK model...Based on daily data about Bitcoin and six other major financial assets(stocks,commodity futures(commodities),gold,foreign exchange(FX),monetary assets,and bonds)in China from 2013 to 2017,we use a VAR-GARCH-BEKK model to investigate mean and volatility spillover effects between Bitcoin and other major assets and explore whether Bitcoin can be used either as a hedging asset or a safe haven.Our empirical results show that(i)only the monetary market,i.e.,the Shanghai Interbank Offered Rate(SHIIBOR)has a mean spillover effect on Bitcoin and(ii)gold,monetary,and bond markets have volatility spillover effects on Bitcoin,while Bitcoin has a volatility spillover effect only on the gold market.We further find that Bitcoin can be hedged against stocks,bonds and SHIBOR and is a safe haven when extreme price changes occur in the monetary market.Our findings provide useful information for investors and portfolio risk managers who have invested or hedged with Bitcoin.展开更多
Background:Kidney cancer originates from the urinary tubule epithelial system of the renal parenchyma,accounting for 20% of all urinary system tumors.Approximately 70% of cases are localized at diagnosis,and 30%are me...Background:Kidney cancer originates from the urinary tubule epithelial system of the renal parenchyma,accounting for 20% of all urinary system tumors.Approximately 70% of cases are localized at diagnosis,and 30%are metastatic.Most localized kidney cancers can be cured by surgery,but most metastatic patients relapse after surgery and eventually die of kidney cancer.Therefore,accurately predicting patient survival and identifying high-risk metastatic patients will effectively guide interventions and improve prognosis.Methods:This study used the data of 12,394 kidney cancer patients from the surveillance,epidemiology,and end results database to construct a research cohort related to kidney cancer survival and metastasis.Eight machine learning models(including support vector machines,logistic regression,decision tree,random forest,XGBoost,AdaBoost,K-nearest neighbors,and multilayer perceptron)were developed to predict the survival and metastasis of kidney cancer and six evaluation indicators(accuracy,precision,sensitivity,specificity,F1 score,and area under the receiver operating characteristic[AUROC])were used to verify,evaluate,and optimize the models.Results:Among the eight machine learning models,Logistic Regression has the highest AUROC in both prediction scenarios.For 3-year survival prediction,the Logistic Regression model had an accuracy of 0.684,a sensitivity of 0.702,a specificity of 0.670,a precision of 0.686,an F1 score of 0.683,and an AUROC of 0.741.For tumor metastasis prediction,the Logistic Regression model had an accuracy of 0.800,a sensitivity of 0.540,a specificity of 0.830,a precision of 0.769,an F1 score of 0.772,and an AUROC of 0.804.Conclusion:In this study,we selected appropriate variables from both statistical and clinical significance and developed and compared eight machine learning models for predicting 3-year survival and metastasis of kidney cancer.The prediction results and evaluation results demonstrated that our model could provide decision support for early intervention for kidney cancer patients.展开更多
文摘Although some genes that cause Kallmann syndrome （KS） have been identified by traditional linkage analysis and candidate gene techniques, the syndrome＇s molecular etiology in the majority of patients remains poorly understood. In this paper, we present the clinical assessments of a consanguineous Hart Chinese family with three KS descendants. To understand the molecular etiology of KS from a genome-wide perspective, we investigated the genome-wide profile of structural variation in this family using the Affymetrix Genome-Wide Human SNP Array 6.0 platform. The results revealed that the three affected individuals had common copy number variants （microdeletions） on chromosomes lp21.1, 2q32.2, 8q21.13, 14q21.2 and Xp22.31. Moreover, the copy number variants on Xp22.31 were located in the intron of KAL 1, which causes X-linked KS. Two PCR assays were performed on these regions to validate the results obtained using the chips. In addition, genomic microdeletions in this region were verified in one of 29 Han Chinese sporadic KS cases and one of four other family cases, but not in 26 Han Chinese sporadic normosmic idiopathic hypogonadotropic hypogonadism cases and 100 unrelated Han Chinese normal controls. Our results provide a novel insight into the relative contributions of certain copy number variants to KS＇s molecular etiology and generate a list of interesting candidate regions for further studies.
基金Supported by the National Natural Science Foundation of China(No.81072800)
文摘OBJECTIVE:To observe the curative effect of a recipe for warming the kidney and fortifying the spleen on diarrhea-predominant irritable bowel syndrome(IBS-D).METHODS:This multi-center,double-blind,randomized,and controlled trial included 240 patients that met the inclusion criterion and were then divided into two groups of 120.Patients in the treatment group(group A)took modified Sishen Wan orally for warming the kidney and fortifying the spleen and patients in the control group(group B)took a placebo,Chao Maiya,for 4 weeks.28 days after withdrawal,there was a 6-month follow-up to observe patient recurrence condition.The total effective rate,curative effect,and recurrence rate were evaluated after treatment.RESULTS:There was statistical difference(P<0.01)between the two groups in total effective rate(92.24%in the treatment group and 49.07%in the control group),in curative effect of TCM syndrome(90.52%and 47.22%,respectively),and in the recurrence rate(15.79%and 56.86%,respectively)within6 months after treatment.CONCLUSION:Modified Sishen Wan,for warming the kidney and fortifying the spleen,can effectively treat IBS-D and better control its recurrence.
基金the Project of General Administration of Quality Supervision,Inspection and Quarantine of the People's Republic of China(2011QK345)Natural Science Foundation of Guangxi,China(0728048)
文摘[Objective] The study aimed to discuss the application of boron-doped diamond （BDD） film electrode in fast detection of samonella in water. [ Method] Boron-doped diamond film electrode was prepared and used as the working electrode in fast detection of salmonella in water using chronoamberometry, and the oxidation mechanism of the electrode acting on salmonella was discussed. [ Result] Compared with traditional biologi- cal methods, chronoamperometry could detect the number of salmonellae in water more simply, rapidly and sensitively. [ Conclusion] The method of using BDD electrode to detect salmonella quantity will be widely applied in future.
基金supported by the National Natural Science Foundation of China(22275073,22005119,21731002,2197510422150004)the Guangdong Major Project of Basic and Applied Research(2019B030302009)+2 种基金the Guangdong Basic and Applied Basic Research Foundation(2020A1515110404)the Guangzhou Basic and Applied Basic Research Foundation(2024A04J3597,202102020444)the Fundamental Research Funds for the Central Universities(21622409)。
文摘Metal-organic frameworks(MOFs)hold significant potential as vehicles for drug delivery due to their expansive specific surface area,biocompatibility,and versatile attributes.Concurrently,magnetically actuated micro/nano-robots(MNRs)offer distinct advantages,such as untethered and precise manipulation.The fusion of these technologies presents a promising avenue for achieving non-invasive targeted drug delivery.Here,we report a MOF-based magnetic microrobot swarm(MMRS)for targeted therapy.Our approach overcomes limitations associated with a single MNR,including limited drug loading and the risk of loss during manipulation.We select Zeolitic Imidazolate Framework-8(ZIF-8)as the drug vehicle for its superior loading potential and p H-sensitive decomposition.Our design incorporates magnetic responsive components into the one-pot synthesis of Fe@ZIF-8,enabling collective behaviors under actuation.Tuning the yaw angle of alternating magnetic fields and nanoparticles'amount,the MMRSs with controllable size achieve instantaneous transformation among different configurations,including vortex-like swarms,chain-like swarms,and elliptical swarms,facilitating adaptation to environmental variations.Transported to the subcutaneous T24 tumor site,the MMRSs with encapsulated doxorubicin(DOX)automatically degrade and release the drug,leading to a dramatic reduction of the tumor in vivo.Our investigation signifies a significant advancement in the integration of biodegradable MOFs into microrobot swarms,ushering in new avenues for accurate and non-invasive targeted drug delivery.
基金This work was supported by the National Natural Science Foundation of China(Grant Nos.71871088,71501066,71971079,and 71521061)the Huxiang Youth Talent Support Program,and the Hunan Provincial Natural Science Foundation of China(Grant No.2017JJ3024).
文摘Based on daily data about Bitcoin and six other major financial assets(stocks,commodity futures(commodities),gold,foreign exchange(FX),monetary assets,and bonds)in China from 2013 to 2017,we use a VAR-GARCH-BEKK model to investigate mean and volatility spillover effects between Bitcoin and other major assets and explore whether Bitcoin can be used either as a hedging asset or a safe haven.Our empirical results show that(i)only the monetary market,i.e.,the Shanghai Interbank Offered Rate(SHIIBOR)has a mean spillover effect on Bitcoin and(ii)gold,monetary,and bond markets have volatility spillover effects on Bitcoin,while Bitcoin has a volatility spillover effect only on the gold market.We further find that Bitcoin can be hedged against stocks,bonds and SHIBOR and is a safe haven when extreme price changes occur in the monetary market.Our findings provide useful information for investors and portfolio risk managers who have invested or hedged with Bitcoin.
基金CAMS Innovation Fund for Medical Sciences(CIFMS),Grant/Award Number:2021-I2M-1-066Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences,Grant/Award Number:2019PT320027+1 种基金Beijing Hope Run Special Fund of Cancer Foundation of China,Grant/Award Number:LC2019A04Fundamental Research Funds for the Central Universities,Grant/Award Number:3332020023。
文摘Background:Kidney cancer originates from the urinary tubule epithelial system of the renal parenchyma,accounting for 20% of all urinary system tumors.Approximately 70% of cases are localized at diagnosis,and 30%are metastatic.Most localized kidney cancers can be cured by surgery,but most metastatic patients relapse after surgery and eventually die of kidney cancer.Therefore,accurately predicting patient survival and identifying high-risk metastatic patients will effectively guide interventions and improve prognosis.Methods:This study used the data of 12,394 kidney cancer patients from the surveillance,epidemiology,and end results database to construct a research cohort related to kidney cancer survival and metastasis.Eight machine learning models(including support vector machines,logistic regression,decision tree,random forest,XGBoost,AdaBoost,K-nearest neighbors,and multilayer perceptron)were developed to predict the survival and metastasis of kidney cancer and six evaluation indicators(accuracy,precision,sensitivity,specificity,F1 score,and area under the receiver operating characteristic[AUROC])were used to verify,evaluate,and optimize the models.Results:Among the eight machine learning models,Logistic Regression has the highest AUROC in both prediction scenarios.For 3-year survival prediction,the Logistic Regression model had an accuracy of 0.684,a sensitivity of 0.702,a specificity of 0.670,a precision of 0.686,an F1 score of 0.683,and an AUROC of 0.741.For tumor metastasis prediction,the Logistic Regression model had an accuracy of 0.800,a sensitivity of 0.540,a specificity of 0.830,a precision of 0.769,an F1 score of 0.772,and an AUROC of 0.804.Conclusion:In this study,we selected appropriate variables from both statistical and clinical significance and developed and compared eight machine learning models for predicting 3-year survival and metastasis of kidney cancer.The prediction results and evaluation results demonstrated that our model could provide decision support for early intervention for kidney cancer patients.
