BACKGROUND Colorectal cancer(CRC)is a serious threat worldwide.Although early screening is suggested to be the most effective method to prevent and control CRC,the current situation of early screening for CRC is still...BACKGROUND Colorectal cancer(CRC)is a serious threat worldwide.Although early screening is suggested to be the most effective method to prevent and control CRC,the current situation of early screening for CRC is still not optimistic.In China,the incidence of CRC in the Yangtze River Delta region is increasing dramatically,but few studies have been conducted.Therefore,it is necessary to develop a simple and efficient early screening model for CRC.AIM To develop and validate an early-screening nomogram model to identify individuals at high risk of CRC.METHODS Data of 64448 participants obtained from Ningbo Hospital,China between 2014 and 2017 were retrospectively analyzed.The cohort comprised 64448 individuals,of which,530 were excluded due to missing or incorrect data.Of 63918,7607(11.9%)individuals were considered to be high risk for CRC,and 56311(88.1%)were not.The participants were randomly allocated to a training set(44743)or validation set(19175).The discriminatory ability,predictive accuracy,and clinical utility of the model were evaluated by constructing and analyzing receiver operating characteristic(ROC)curves and calibration curves and by decision curve analysis.Finally,the model was validated internally using a bootstrap resampling technique.RESULTS Seven variables,including demographic,lifestyle,and family history information,were examined.Multifactorial logistic regression analysis revealed that age[odds ratio(OR):1.03,95%confidence interval(CI):1.02-1.03,P<0.001],body mass index(BMI)(OR:1.07,95%CI:1.06-1.08,P<0.001),waist circumference(WC)(OR:1.03,95%CI:1.02-1.03 P<0.001),lifestyle(OR:0.45,95%CI:0.42-0.48,P<0.001),and family history(OR:4.28,95%CI:4.04-4.54,P<0.001)were the most significant predictors of high-risk CRC.Healthy lifestyle was a protective factor,whereas family history was the most significant risk factor.The area under the curve was 0.734(95%CI:0.723-0.745)for the final validation set ROC curve and 0.735(95%CI:0.728-0.742)for the training set ROC curve.The calibration curve demonstrated a high correlation between the CRC high-risk population predicted by the nomogram model and the actual CRC high-risk population.CONCLUSION The early-screening nomogram model for CRC prediction in high-risk populations developed in this study based on age,BMI,WC,lifestyle,and family history exhibited high accuracy.展开更多
Objective:To explore the main acupoint prescription and mechanism of acupuncture in treating Functional dyspepsia(FD)by analyzing the clinical randomized controlled trial literature on acupoints and targets of acupunc...Objective:To explore the main acupoint prescription and mechanism of acupuncture in treating Functional dyspepsia(FD)by analyzing the clinical randomized controlled trial literature on acupoints and targets of acupuncture in the treatment of FD combined with association rule mining and bioinformatics/network pharmacology methods.Methods:Search relevant clinical randomized controlled trial literature on acupoints and therapeutic targets of acupuncture in the treatment of FD from eight databases from their inception to June 18th,2022.We obtained acupuncture selection points,meridian,and therapeutic targets and established acupoints database for acupuncture treatment of FD.FD-related targets were collected from GeneCards,DisGeNET,OMIM,and DrugBank databases.We obtained the potential targets of acupuncture on FD by taking the intersection of acupuncture for FD therapeutic targets and FD-related targets.We performed the protein-protein interaction network,Gene Ontology(GO)analysis,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis.Results:In this study,26 Randomized Controlled Trials related to acupuncture treatment of FD were retrieved.We obtained 29 acupoints,17 acupuncture for FD therapeutic targets,and 10 intersection targets.Tumor necrosis factor(TNF),Interleukin(IL)-1,and Neuropeptide Y(NPY)are key targets of acupuncture in the treatment of FD.Conclusion:ST36-CV12-PC6-LR3 is the main acupoint prescription for FD.Acupuncture may affect Neuroactive ligand-receptor interaction,Gastric acid secretion,and IL-17,TNF signaling pathways by regulating related key targets,and play a synergistic role in the treatment of FD by inhibiting gastric acid secretion,alleviating inflammatory response,regulating the brain-gut axis,improving mood and other aspects.展开更多
A hybrid structure based on a planar waveguide(PWG) mode coupling a long-range surface plasmon resonance(LRSPR) mode is proposed to enhance the GH shift. Both the PWG mode and LRSPR mode can be in strong resonance, an...A hybrid structure based on a planar waveguide(PWG) mode coupling a long-range surface plasmon resonance(LRSPR) mode is proposed to enhance the GH shift. Both the PWG mode and LRSPR mode can be in strong resonance, and these two modes can be coupled together due to the normal-mode splitting. The largest GH shift of PWG-coupled LRSPR structure is 4156 times that of the incident beam, which is 23 times and 3.6 times that of the surface plasmon resonance(SPR) structure and the LRSPR structure, respectively. As a GH shift sensor, the highest sensitivity of 4.68 × 10~7λ is realized in the coupled structure. Compared with the sensitivity of the traditional SPR structure, the sensitivity of our structure is increased by more than 2 orders, which theoretically indicates that the proposed configuration can be applied to the field of high-sensitivity sensors in the future.展开更多
基金Supported by the Project of NINGBO Leading Medical Health Discipline,No.2022-B11Ningbo Natural Science Foundation,No.202003N4206Public Welfare Foundation of Ningbo,No.2021S108.
文摘BACKGROUND Colorectal cancer(CRC)is a serious threat worldwide.Although early screening is suggested to be the most effective method to prevent and control CRC,the current situation of early screening for CRC is still not optimistic.In China,the incidence of CRC in the Yangtze River Delta region is increasing dramatically,but few studies have been conducted.Therefore,it is necessary to develop a simple and efficient early screening model for CRC.AIM To develop and validate an early-screening nomogram model to identify individuals at high risk of CRC.METHODS Data of 64448 participants obtained from Ningbo Hospital,China between 2014 and 2017 were retrospectively analyzed.The cohort comprised 64448 individuals,of which,530 were excluded due to missing or incorrect data.Of 63918,7607(11.9%)individuals were considered to be high risk for CRC,and 56311(88.1%)were not.The participants were randomly allocated to a training set(44743)or validation set(19175).The discriminatory ability,predictive accuracy,and clinical utility of the model were evaluated by constructing and analyzing receiver operating characteristic(ROC)curves and calibration curves and by decision curve analysis.Finally,the model was validated internally using a bootstrap resampling technique.RESULTS Seven variables,including demographic,lifestyle,and family history information,were examined.Multifactorial logistic regression analysis revealed that age[odds ratio(OR):1.03,95%confidence interval(CI):1.02-1.03,P<0.001],body mass index(BMI)(OR:1.07,95%CI:1.06-1.08,P<0.001),waist circumference(WC)(OR:1.03,95%CI:1.02-1.03 P<0.001),lifestyle(OR:0.45,95%CI:0.42-0.48,P<0.001),and family history(OR:4.28,95%CI:4.04-4.54,P<0.001)were the most significant predictors of high-risk CRC.Healthy lifestyle was a protective factor,whereas family history was the most significant risk factor.The area under the curve was 0.734(95%CI:0.723-0.745)for the final validation set ROC curve and 0.735(95%CI:0.728-0.742)for the training set ROC curve.The calibration curve demonstrated a high correlation between the CRC high-risk population predicted by the nomogram model and the actual CRC high-risk population.CONCLUSION The early-screening nomogram model for CRC prediction in high-risk populations developed in this study based on age,BMI,WC,lifestyle,and family history exhibited high accuracy.
文摘Objective:To explore the main acupoint prescription and mechanism of acupuncture in treating Functional dyspepsia(FD)by analyzing the clinical randomized controlled trial literature on acupoints and targets of acupuncture in the treatment of FD combined with association rule mining and bioinformatics/network pharmacology methods.Methods:Search relevant clinical randomized controlled trial literature on acupoints and therapeutic targets of acupuncture in the treatment of FD from eight databases from their inception to June 18th,2022.We obtained acupuncture selection points,meridian,and therapeutic targets and established acupoints database for acupuncture treatment of FD.FD-related targets were collected from GeneCards,DisGeNET,OMIM,and DrugBank databases.We obtained the potential targets of acupuncture on FD by taking the intersection of acupuncture for FD therapeutic targets and FD-related targets.We performed the protein-protein interaction network,Gene Ontology(GO)analysis,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis.Results:In this study,26 Randomized Controlled Trials related to acupuncture treatment of FD were retrieved.We obtained 29 acupoints,17 acupuncture for FD therapeutic targets,and 10 intersection targets.Tumor necrosis factor(TNF),Interleukin(IL)-1,and Neuropeptide Y(NPY)are key targets of acupuncture in the treatment of FD.Conclusion:ST36-CV12-PC6-LR3 is the main acupoint prescription for FD.Acupuncture may affect Neuroactive ligand-receptor interaction,Gastric acid secretion,and IL-17,TNF signaling pathways by regulating related key targets,and play a synergistic role in the treatment of FD by inhibiting gastric acid secretion,alleviating inflammatory response,regulating the brain-gut axis,improving mood and other aspects.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.61505111 and 11604216)the China Postdoctoral Science Foundation(Grant No.2016M600667)+2 种基金the Science and Technology Planning Project of Guangdong Province,China(Grant No.2016B050501005)the Fund from the Educational Commission of Guangdong Province,China(Grant No.2016KCXTD006)the Natural Science Foundation of Guangdong Province,China(Grant No.2015A030313549)
文摘A hybrid structure based on a planar waveguide(PWG) mode coupling a long-range surface plasmon resonance(LRSPR) mode is proposed to enhance the GH shift. Both the PWG mode and LRSPR mode can be in strong resonance, and these two modes can be coupled together due to the normal-mode splitting. The largest GH shift of PWG-coupled LRSPR structure is 4156 times that of the incident beam, which is 23 times and 3.6 times that of the surface plasmon resonance(SPR) structure and the LRSPR structure, respectively. As a GH shift sensor, the highest sensitivity of 4.68 × 10~7λ is realized in the coupled structure. Compared with the sensitivity of the traditional SPR structure, the sensitivity of our structure is increased by more than 2 orders, which theoretically indicates that the proposed configuration can be applied to the field of high-sensitivity sensors in the future.
