Periodontitis is a critical risk factor for the occurrence and development of diabetes.Porphyromonas gingivalis may participate in insulin resistance(IR)caused by periodontal inflammation,but the functional role and s...Periodontitis is a critical risk factor for the occurrence and development of diabetes.Porphyromonas gingivalis may participate in insulin resistance(IR)caused by periodontal inflammation,but the functional role and specific mechanisms of P.gingivalis in IR remain unclear.In the present study,clinical samples were analysed to determine the statistical correlation between P.gingivalis and IR occurrence.Through culturing of hepatocytes,myocytes,and adipocytes,and feeding mice P.gingivalis orally,the functional correlation between P.gingivalis and IR occurrence was further studied both in vitro and in vivo.Clinical data suggested that the amount of P.gingivalis isolated was correlated with the Homeostatic Model Assessment for IR score.In vitro studies suggested that coculture with P.gingivalis decreased glucose uptake and insulin receptor(INSR)protein expression in hepatocytes,myocytes,and adipocytes.Mice fed P.gingivalis tended to undergo IR.P.gingivalis was detectable in the liver,skeletal muscle,and adipose tissue of experimental mice.The distribution sites of gingipain coincided with the downregulation of INSR.Gingipain proteolysed the functional insulin-binding region of INSR.Coculture with P.gingivalis significantly decreased the INSR–insulin binding ability.Knocking out gingipain from P.gingivalis alleviated the negative effects of P.gingivalis on IR in vivo.Taken together,these findings indicate that distantly migrated P.gingivalis may directly proteolytically degrade INSR through gingipain,thereby leading to IR.The results provide a new strategy for preventing diabetes by targeting periodontal pathogens and provide new ideas for exploring novel mechanisms by which periodontal inflammation affects the systemic metabolic state.展开更多
Chronic diseases are a growing concern worldwide,with nearly 25% of adults suffering from one or more chronic health conditions,thus placing a heavy burden on individuals,families,and healthcare systems.With the adven...Chronic diseases are a growing concern worldwide,with nearly 25% of adults suffering from one or more chronic health conditions,thus placing a heavy burden on individuals,families,and healthcare systems.With the advent of the“Smart Healthcare”era,a series of cutting-edge technologies has brought new experiences to the management of chronic diseases.Among them,smart wearable technology not only helps people pursue a healthier lifestyle but also provides a continuous flow of healthcare data for disease diagnosis and treatment by actively recording physiological parameters and tracking the metabolic state.However,how to organize and analyze the data to achieve the ultimate goal of improving chronic disease management,in terms of quality of life,patient outcomes,and privacy protection,is an urgent issue that needs to be addressed.Artificial intelligence(AI)can provide intelligent suggestions by analyzing a patient’s physiological data from wearable devices for the diagnosis and treatment of diseases.In addition,blockchain can improve healthcare services by authorizing decentralized data sharing,protecting the privacy of users,providing data empowerment,and ensuring the reliability of data management.Integrating AI,blockchain,and wearable technology could optimize the existing chronic disease management models,with a shift from a hospital-centered model to a patient-centered one.In this paper,we conceptually demonstrate a patient-centric technical framework based on AI,blockchain,and wearable technology and further explore the application of these integrated technologies in chronic disease management.Finally,the shortcomings of this new paradigm and future research directions are also discussed.展开更多
AIM To assess the efficacy and safety of fourth-generation quinolones for helicobacter pylori(h. pylori) eradication, we conducted this systematic review and metaanalysis of randomized clinical trials. METHODS Major l...AIM To assess the efficacy and safety of fourth-generation quinolones for helicobacter pylori(h. pylori) eradication, we conducted this systematic review and metaanalysis of randomized clinical trials. METHODS Major literature databases(Pub Med, EMBASE and the Cochrane Central Register of Controlled Trials) were searched for relevant articles published prior to February 2018. We performed a meta-analysis of all randomized clinical trials that examined the efficacy of h. pylori eradication therapies and included fourthgeneration quinolones in the experimental arm. Subgroup analyses by regions and different types of fourth-generation quinolones were also performed.RESULTS Ten studies including a total of 2198 patients were assessed. A meta-analysis of randomized controlled trials showed that the eradication rate of therapies containing non-fourth-generation quinolones was significantly lower than that of therapies containing fourth-generation quinolones by intention-to-treat(ITT) analysis [75.4% vs 81.8%; odds ratio(OR) = 0.661; 95% confidence interval(CI): 0.447-0.977; P = 0.038]. This analysis also showed that the eradication rate of the therapies containing non-fourth-generation quinolones was inferior to that of therapies containing fourth-generation quinolones by perprotocol analysis(79.1% vs 84.7%; OR = 0.663; 95%CI: 0.433-1.016; P = 0.059). Moreover, the occurrence of side effects was significantly different between the control and experimental groups by ITT analysis(30.6% vs 19.5%; OR = 1.874; 95%CI: 1.120-3.137; P = 0.017). The sub-analyses also showed significant differences in moxifloxacin therapies vs other fourth-generation quinolone therapies(84.3% vs 71.9%) and in Asian vs European groups(76.7% vs 89.1%).CONCLUSION Therapies containing fourth-generation quinolones achieved a poor eradication rate in the treatment of h. pylori infection. Such regimens might be useful as a rescue treatment based on antimicrobial susceptibility testing. Different antibiotics should be chosen in different regions.展开更多
Electrocardiogram(ECG)is a low-cost,simple,fast,and non-invasive test.It can reflect the heart’s electrical activity and provide valuable diagnostic clues about the health of the entire body.Therefore,ECG has been wi...Electrocardiogram(ECG)is a low-cost,simple,fast,and non-invasive test.It can reflect the heart’s electrical activity and provide valuable diagnostic clues about the health of the entire body.Therefore,ECG has been widely used in various biomedical applications such as arrhythmia detection,disease-specific detection,mortality prediction,and biometric recognition.In recent years,ECG-related studies have been carried out using a variety of publicly available datasets,with many differences in the datasets used,data preprocessing methods,targeted challenges,and modeling and analysis techniques.Here we systematically summarize and analyze the ECGbased automatic analysis methods and applications.Specifically,we first reviewed 22 commonly used ECG public datasets and provided an overview of data preprocessing processes.Then we described some of the most widely used applications of ECG signals and analyzed the advanced methods involved in these applications.Finally,we elucidated some of the challenges in ECG analysis and provided suggestions for further research.展开更多
Objective:To systematically evaluate the efficacy and safety of traditional Chinese medicine in the treatment of arrhythmia combined with anxiety and depression by meta analysis.Methods:Chinese and foreign medical lit...Objective:To systematically evaluate the efficacy and safety of traditional Chinese medicine in the treatment of arrhythmia combined with anxiety and depression by meta analysis.Methods:Chinese and foreign medical literature databases such as CNKI,Wanfang,VIP,PubMed and The Cochorane Library were searched by computer until September 2020.Collect all the published clinical randomized controlled trials of traditional Chinese medicine(TCM)in the treatment of arrhythmia combined with anxiety and depression.The risk assessment tools provided by Cochrane were used to evaluate the quality of the studies,and meta analysis was carried out by Revman 5.3 software.Results:17 studies were included,with a total sample of 1773 cases,including the experimental group useing traditional Chinese medicine with western medicine therapy(n=888),and the control group using simple routine western medicine treatment(n=885).The results of Meta analysis showed that:compared with the control group(western medicine),the experimental group(traditional Chinese medicine combined with western medicine)can significantly improve the curative effect of TCM syndrome[RR=1.28(1.19,1.39)],decrease the number of attacks for arrhythmia[RR=1.29(1.21,1.36)],reduce the score of anxiety[RR=-1.44(-2.09,-0.78)]and depression scale[RR=-0.94(-1.34,-0.53)],the differences were statistically significant.Conclusion:Traditional Chinese medicine has significant clinical effect in the treatment of arrhythmia combined with anxiety and depression,and the adverse reaction is mild,which is better than the simple use of western medicine,but more rigorous high-quality clinical RCTs are needed for further verification.展开更多
Sericin is a major silk protein, and recent studies have shown that sericin has numerous physiological activities against cultured cells. For example, it accelerates mammalian cell proliferation and protects insect ce...Sericin is a major silk protein, and recent studies have shown that sericin has numerous physiological activities against cultured cells. For example, it accelerates mammalian cell proliferation and protects insect cells against cell death. In this study, we examined the activities of sericin prepared from the wild silkworm, Cricula trifenestrata. The results presented here indicated that C. trifenestrata sericin has anti-proliferative activity against feline kidney cells, while sericin from Bombyx mori promoted cell proliferation. The components of the sericin preparation that played a role in inhibition of proliferation were analyzed by fractionation through partition chromatography (Folch method) and reversed-phase chromatography. Our analysis showed that at least two components in the C. trifenestrata sericin preparation promoted the anti-proliferative activity in an additive or even synergistic manner. Therefore, differences in components between insect species may contribute to different activities against cultured cells.展开更多
Event Extraction(EE)is a key task in information extraction,which requires high-quality annotated data that are often costly to obtain.Traditional classification-based methods suffer from low-resource scenarios due to...Event Extraction(EE)is a key task in information extraction,which requires high-quality annotated data that are often costly to obtain.Traditional classification-based methods suffer from low-resource scenarios due to the lack of label semantics and fine-grained annotations.While recent approaches have endeavored to address EE through a more data-efficient generative process,they often overlook event keywords,which are vital for EE.To tackle these challenges,we introduce KeyEE,a multi-prompt learning strategy that improves low-resource event extraction by Event Keywords Extraction(EKE).We suggest employing an auxiliary EKE sub-prompt and concurrently training both EE and EKE with a shared pre-trained language model.With the auxiliary sub-prompt,KeyEE learns event keywords knowledge implicitly,thereby reducing the dependence on annotated data.Furthermore,we investigate and analyze various EKE sub-prompt strategies to encourage further research in this area.Our experiments on benchmark datasets ACE2005 and ERE show that KeyEE achieves significant improvement in low-resource settings and sets new state-of-the-art results.展开更多
This work focuses on the ground-state phase diagram,the compensation temperatures and the critical behaviors of a ferrimagnetic graphene-like trilayer induced by crystal fields and exchange couplings.The simulation re...This work focuses on the ground-state phase diagram,the compensation temperatures and the critical behaviors of a ferrimagnetic graphene-like trilayer induced by crystal fields and exchange couplings.The simulation results show that a negative decrease in crystal field or an increase in exchange coupling can increase the critical temperature.More importantly,an M curve with double compensation temperatures can be observed,which is not predicted by the Neel theory.This remarkable compensation phenomenon has potential application value in the field of magnetic recording.展开更多
The successful discovery of borophene has opened a new door for the development of 2D materials.Due to its excellent chemical,electronic and thermal properties,borophene has shown considerable potential in supercapaci...The successful discovery of borophene has opened a new door for the development of 2D materials.Due to its excellent chemical,electronic and thermal properties,borophene has shown considerable potential in supercapacitors,hydrogen storage and batteries.In this paper,the thermodynamic characteristics and magnetocaloric effect of borophene are specifically studied using the Monte Carlo method.We find that there is an opposite impact between the spin quantum number and the crystal field on the magnetization,magnetic susceptibility,specific heat and magnetic entropy of the system.Moreover,increasing the spin quantum number or decreasing the absolute value of the crystal field can improve the relative cooling power,the coercivity(h_(c)),and the remanence(M_(R))and the area of the loop.展开更多
基金supported by the Major Research Program of the National Natural Science Foundation of China(Subproject No.81991503)the Youth Research Program of the National Natural Science Foundation of China(No.82201069)+1 种基金the Innovative Talent Promotion Plan of Shaanxi Province-Research Fund for Young Star of Science and Technology(No.2021KJXX-24,No.2022KJXX-100)Basic and Applied Basic Research Fund of Guangdong Province(No.2023A1515012126).
文摘Periodontitis is a critical risk factor for the occurrence and development of diabetes.Porphyromonas gingivalis may participate in insulin resistance(IR)caused by periodontal inflammation,but the functional role and specific mechanisms of P.gingivalis in IR remain unclear.In the present study,clinical samples were analysed to determine the statistical correlation between P.gingivalis and IR occurrence.Through culturing of hepatocytes,myocytes,and adipocytes,and feeding mice P.gingivalis orally,the functional correlation between P.gingivalis and IR occurrence was further studied both in vitro and in vivo.Clinical data suggested that the amount of P.gingivalis isolated was correlated with the Homeostatic Model Assessment for IR score.In vitro studies suggested that coculture with P.gingivalis decreased glucose uptake and insulin receptor(INSR)protein expression in hepatocytes,myocytes,and adipocytes.Mice fed P.gingivalis tended to undergo IR.P.gingivalis was detectable in the liver,skeletal muscle,and adipose tissue of experimental mice.The distribution sites of gingipain coincided with the downregulation of INSR.Gingipain proteolysed the functional insulin-binding region of INSR.Coculture with P.gingivalis significantly decreased the INSR–insulin binding ability.Knocking out gingipain from P.gingivalis alleviated the negative effects of P.gingivalis on IR in vivo.Taken together,these findings indicate that distantly migrated P.gingivalis may directly proteolytically degrade INSR through gingipain,thereby leading to IR.The results provide a new strategy for preventing diabetes by targeting periodontal pathogens and provide new ideas for exploring novel mechanisms by which periodontal inflammation affects the systemic metabolic state.
基金supported by the National Natural Science Foundation of China(No.81974355 and No.82172525)the National Intelligence Medical Clinical Research Center(No.2020021105012440)the Hubei Province Technology Innovation Major Special Project(No.2018AAA067).
文摘Chronic diseases are a growing concern worldwide,with nearly 25% of adults suffering from one or more chronic health conditions,thus placing a heavy burden on individuals,families,and healthcare systems.With the advent of the“Smart Healthcare”era,a series of cutting-edge technologies has brought new experiences to the management of chronic diseases.Among them,smart wearable technology not only helps people pursue a healthier lifestyle but also provides a continuous flow of healthcare data for disease diagnosis and treatment by actively recording physiological parameters and tracking the metabolic state.However,how to organize and analyze the data to achieve the ultimate goal of improving chronic disease management,in terms of quality of life,patient outcomes,and privacy protection,is an urgent issue that needs to be addressed.Artificial intelligence(AI)can provide intelligent suggestions by analyzing a patient’s physiological data from wearable devices for the diagnosis and treatment of diseases.In addition,blockchain can improve healthcare services by authorizing decentralized data sharing,protecting the privacy of users,providing data empowerment,and ensuring the reliability of data management.Integrating AI,blockchain,and wearable technology could optimize the existing chronic disease management models,with a shift from a hospital-centered model to a patient-centered one.In this paper,we conceptually demonstrate a patient-centric technical framework based on AI,blockchain,and wearable technology and further explore the application of these integrated technologies in chronic disease management.Finally,the shortcomings of this new paradigm and future research directions are also discussed.
基金Supported by the Graduate Innovation Project of Nanchang University,No.CX2017213 and No.CX2017251the National Natural Science Foundation of China,No.81460115the Science and Technology Projects of Jiangxi Province,No.2014BBG70019
文摘AIM To assess the efficacy and safety of fourth-generation quinolones for helicobacter pylori(h. pylori) eradication, we conducted this systematic review and metaanalysis of randomized clinical trials. METHODS Major literature databases(Pub Med, EMBASE and the Cochrane Central Register of Controlled Trials) were searched for relevant articles published prior to February 2018. We performed a meta-analysis of all randomized clinical trials that examined the efficacy of h. pylori eradication therapies and included fourthgeneration quinolones in the experimental arm. Subgroup analyses by regions and different types of fourth-generation quinolones were also performed.RESULTS Ten studies including a total of 2198 patients were assessed. A meta-analysis of randomized controlled trials showed that the eradication rate of therapies containing non-fourth-generation quinolones was significantly lower than that of therapies containing fourth-generation quinolones by intention-to-treat(ITT) analysis [75.4% vs 81.8%; odds ratio(OR) = 0.661; 95% confidence interval(CI): 0.447-0.977; P = 0.038]. This analysis also showed that the eradication rate of the therapies containing non-fourth-generation quinolones was inferior to that of therapies containing fourth-generation quinolones by perprotocol analysis(79.1% vs 84.7%; OR = 0.663; 95%CI: 0.433-1.016; P = 0.059). Moreover, the occurrence of side effects was significantly different between the control and experimental groups by ITT analysis(30.6% vs 19.5%; OR = 1.874; 95%CI: 1.120-3.137; P = 0.017). The sub-analyses also showed significant differences in moxifloxacin therapies vs other fourth-generation quinolone therapies(84.3% vs 71.9%) and in Asian vs European groups(76.7% vs 89.1%).CONCLUSION Therapies containing fourth-generation quinolones achieved a poor eradication rate in the treatment of h. pylori infection. Such regimens might be useful as a rescue treatment based on antimicrobial susceptibility testing. Different antibiotics should be chosen in different regions.
基金Supported by the NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization(U1909208)the Science and Technology Major Project of Changsha(kh2202004)the Changsha Municipal Natural Science Foundation(kq2202106).
文摘Electrocardiogram(ECG)is a low-cost,simple,fast,and non-invasive test.It can reflect the heart’s electrical activity and provide valuable diagnostic clues about the health of the entire body.Therefore,ECG has been widely used in various biomedical applications such as arrhythmia detection,disease-specific detection,mortality prediction,and biometric recognition.In recent years,ECG-related studies have been carried out using a variety of publicly available datasets,with many differences in the datasets used,data preprocessing methods,targeted challenges,and modeling and analysis techniques.Here we systematically summarize and analyze the ECGbased automatic analysis methods and applications.Specifically,we first reviewed 22 commonly used ECG public datasets and provided an overview of data preprocessing processes.Then we described some of the most widely used applications of ECG signals and analyzed the advanced methods involved in these applications.Finally,we elucidated some of the challenges in ECG analysis and provided suggestions for further research.
基金Beijing Natural Science Foundation Project(No.7202126)Capital characteristic Clinical Applied Research Project(No.Z161100000516136)。
文摘Objective:To systematically evaluate the efficacy and safety of traditional Chinese medicine in the treatment of arrhythmia combined with anxiety and depression by meta analysis.Methods:Chinese and foreign medical literature databases such as CNKI,Wanfang,VIP,PubMed and The Cochorane Library were searched by computer until September 2020.Collect all the published clinical randomized controlled trials of traditional Chinese medicine(TCM)in the treatment of arrhythmia combined with anxiety and depression.The risk assessment tools provided by Cochrane were used to evaluate the quality of the studies,and meta analysis was carried out by Revman 5.3 software.Results:17 studies were included,with a total sample of 1773 cases,including the experimental group useing traditional Chinese medicine with western medicine therapy(n=888),and the control group using simple routine western medicine treatment(n=885).The results of Meta analysis showed that:compared with the control group(western medicine),the experimental group(traditional Chinese medicine combined with western medicine)can significantly improve the curative effect of TCM syndrome[RR=1.28(1.19,1.39)],decrease the number of attacks for arrhythmia[RR=1.29(1.21,1.36)],reduce the score of anxiety[RR=-1.44(-2.09,-0.78)]and depression scale[RR=-0.94(-1.34,-0.53)],the differences were statistically significant.Conclusion:Traditional Chinese medicine has significant clinical effect in the treatment of arrhythmia combined with anxiety and depression,and the adverse reaction is mild,which is better than the simple use of western medicine,but more rigorous high-quality clinical RCTs are needed for further verification.
文摘Sericin is a major silk protein, and recent studies have shown that sericin has numerous physiological activities against cultured cells. For example, it accelerates mammalian cell proliferation and protects insect cells against cell death. In this study, we examined the activities of sericin prepared from the wild silkworm, Cricula trifenestrata. The results presented here indicated that C. trifenestrata sericin has anti-proliferative activity against feline kidney cells, while sericin from Bombyx mori promoted cell proliferation. The components of the sericin preparation that played a role in inhibition of proliferation were analyzed by fractionation through partition chromatography (Folch method) and reversed-phase chromatography. Our analysis showed that at least two components in the C. trifenestrata sericin preparation promoted the anti-proliferative activity in an additive or even synergistic manner. Therefore, differences in components between insect species may contribute to different activities against cultured cells.
基金supported by the National Key Research and Development Program of China(No.2021YFF1201200)the Science and Technology Major Project of Changsha(No.kh2202004)the Natural Science Foundation of China(No.62006251)。
文摘Event Extraction(EE)is a key task in information extraction,which requires high-quality annotated data that are often costly to obtain.Traditional classification-based methods suffer from low-resource scenarios due to the lack of label semantics and fine-grained annotations.While recent approaches have endeavored to address EE through a more data-efficient generative process,they often overlook event keywords,which are vital for EE.To tackle these challenges,we introduce KeyEE,a multi-prompt learning strategy that improves low-resource event extraction by Event Keywords Extraction(EKE).We suggest employing an auxiliary EKE sub-prompt and concurrently training both EE and EKE with a shared pre-trained language model.With the auxiliary sub-prompt,KeyEE learns event keywords knowledge implicitly,thereby reducing the dependence on annotated data.Furthermore,we investigate and analyze various EKE sub-prompt strategies to encourage further research in this area.Our experiments on benchmark datasets ACE2005 and ERE show that KeyEE achieves significant improvement in low-resource settings and sets new state-of-the-art results.
基金funded by National Natural Science Foundation of China (grant no. U22A20215)the Natural Science Foundation of Liaoning Province (grant no. 2023MS-218)
文摘This work focuses on the ground-state phase diagram,the compensation temperatures and the critical behaviors of a ferrimagnetic graphene-like trilayer induced by crystal fields and exchange couplings.The simulation results show that a negative decrease in crystal field or an increase in exchange coupling can increase the critical temperature.More importantly,an M curve with double compensation temperatures can be observed,which is not predicted by the Neel theory.This remarkable compensation phenomenon has potential application value in the field of magnetic recording.
文摘The successful discovery of borophene has opened a new door for the development of 2D materials.Due to its excellent chemical,electronic and thermal properties,borophene has shown considerable potential in supercapacitors,hydrogen storage and batteries.In this paper,the thermodynamic characteristics and magnetocaloric effect of borophene are specifically studied using the Monte Carlo method.We find that there is an opposite impact between the spin quantum number and the crystal field on the magnetization,magnetic susceptibility,specific heat and magnetic entropy of the system.Moreover,increasing the spin quantum number or decreasing the absolute value of the crystal field can improve the relative cooling power,the coercivity(h_(c)),and the remanence(M_(R))and the area of the loop.
