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Ambient fine particulate matter (PM2.5) is a mixture consisting of a wide range of chemical constituents including carbonaceous aerosols, water soluble ions and inorganic elements, and has become the major air pollutant in most cities in China. Evidence suggests that exposure to ambient PM2.5 induces damage on the cardiovascular system and can increase risk of the development and mortality of ischemic heart diseases (IHD). However, the effects of exposure to specific PM2.5 constituents on IHD remain unclear, and its underlying mechanisms are yet to be investigated. Here we reviewed studies investigating the association of short- and long-term exposure to specific PM2.5 constituents with IHD, which may provide useful clues for future relevant studies.
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Alzheimer's disease (AD) is a dementia-type neurodegenerative disease with an increasing incidence in elderly population and a poor prognosis. Therefore, the early diagnosis technology of AD urgently needs to be improved. In this paper, the laboratory diagnostic technologies of Alzheimer's disease were reviewed in the field of neuropsychological assessment, neuroimaging technology, and biomarker detection, including the simple intelligence state scale, the Montreal cognitive assessment scale, the memory and executive function screening scale, structural MRI, and functional MRI, positron emission computed tomography, MRI-based artificial intelligence analysis, and β amyloid (Aβ), homocysteine, S100B protein, Aβ 42, tau protein, urine AD-related neurofilament protein (AD7c-NTP) and Aβ plaques in the retinas. The limitations of these technologies were analyzed, and the development trends of the technologies were summarized. In order to improve the efficiency of AD screening, it is necessary to build an early diagnosis system for AD, in which multimodal diagnosis technology should be used to distinguish different types of AD.
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The fundamental goal of China's medical insurance is to build a multi-level social security system covering the whole people, urban and rural planning, clear rights and responsibilities, moderate protection, and sustainable development. It is required to unify the medical insurance system, achieve fairness in medical insurance, improve the degree of protection, and increase the protection project, so as to effectively meet the needs of the basic health care services of the national diversification and to comprehensively improve the national health level. It is help to reduce the incidence of diseases, improve the quality of life, reduce the expenditure on medical expenses, and regulate the health habits of the people by emphasizing the importance of active prevention in the medical insurance sector. That is consistent with the ultimate goal of the health system reform. Active health insurance based on the national big data platform for medical and healthcare management can implement effective health interventions through various medical and economic means, helping to block risk factors before disease formation, thereby extending the individual health cycle and achieving the purpose of maintaining health. It can be foreseen that with the implementation of active medical insurance, the awareness rate of major chronic diseases will increase, and theincidence of major chronic diseases and the number of patients will gradually decrease. Therefore, the economic burden of the national medical and health system will gradually be reduced, so as to meet the growing needs of people for health care.
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OBJECTIVE： To study the improvement effects of fibrinolytic enzyme from Sipunculus nudus （SNFE） on hemorheology disorder and vascular endothelium injury in naked acute blood stasis model rats. METHODS： SD rats were randomly divided into control group， model group， aspirin group （100 mg/kg） and SNFE high-dose and low-dose groups （2 500， 5 000 U/kg）， with 10 rats in each group. They were given relevant medicine intragastrically once a day， for consecutive 7 d. One hour after the 6th day of administration， except for control group， other groups were given adrenaline hydrochloride 0.8 mg/kg subcutaneously， and then the acute blood stasis model was induced by ice-water bath. Blood was collected from abdominal aorta 2 h after the next day. Blood rheological parameters such as whole blood viscosity （high， medium and low shear rate）， plasma viscosity， hematocrit， erythrocyte aggregation index and erythrocyte deformability index were measured by automatic rheometer. The contents of NO and ET-1 in plasma and their ratio were determined by ELISA， and the damaged degree of vascular endothelium were observed by HE staining. RESULTS： Compared with control group， whole blood viscosity of high， medium and low-shear rate， plasma viscosity， erythrocyte aggregation index and ET-1 content were increased significantly in model group， while erythrocyte deformability index， NO content and NO/ET-1 ratio were decreased significantly， with statistical significance （P＜0.05 or P＜0.01）. Compared with model group， whole blood viscosity of high， medium and low-shear rate， plasma viscosity， hematocrit， erythrocyte aggregation index and ET-1 content were decreased significantly in SNFE high-dose groups. Erythrocyte deformability index， NO content and NO/ET-1 ratio were increased significantly， with statistical significance （P＜0.05 or P＜0.01）. In SNFE low-dose group， erythrocyte deformability index and NO/ET-1 ratio were increased significantly， while ET-1 content was decreased significantly， with statistical significance （P＜0.05 or P＜0.01）. Vascular endothelial staining showed that compared with control group， the structure of aorta layers in model group was loose and disordered， the endothelial defect was incomplete， the vacuoles increased， and the endothelial damage was obvious. The endothelium of rats in each administration group was damaged to varying degrees， but the degree of injury was lighter than in model group. CONCLUSIONS： SNFE can improve hemorheological abnormalities and vascular endothelial injury in rats with acute blood stasis.
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Metronomic photodynamic therapy (mPDT) is a new type of photodynamic therapy (PDT) that has received much attention in recent years. It has a similar therapeutic mechanism to traditional PDT, i.e. the photosensitizer is irradiated by visible light irradiation with a specific wavelength, and tissue oxygen photochemical reactions produce cytotoxic reactive oxygen species (ROS) that selectively kill rapidly proliferating tumor cells. Unlike traditional PDT, the photosensitizer and light in mPDT are continuously transmitted at a low time and at a low rate, and the specificity of tumor treatment is enhanced by apoptosis. In this paper, the current researches on the in vitro and in vivo effects and mechanisms of mPDT, as well as the research status of photosensitizers and light sources for in vivo research, were reviewed, with a view to understanding the existing mPDT technology and providing reference for the further studies. This review paper can provide a basic for promoting the clinical research and application of mPDT.
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Human exhaled gases contain thousands of trace amounts of trace volatile organic compounds (VOCs), some of which are endogenous substance and can be detected as potential biomarkers for disease. Acetone, the second highest VOCs in human exhaled gases, has been widely used in non-invasive diagnosis and monitoring of diabetes. At present, more than 30 independent studies have been undertaken on the range of breath acetone concentration and its influencing factors, and the quantitative relationship between blood glucose and glycosylated hemoglobin in diabetic patients. However, there are still many challenges in the application of breath acetone as a clinical regulatory parameter for diabetes. In this paper, the research status and progress in the breath acetone and analysis method were reviewed, and the existing problems in diabetes diagnosis and monitoring were discussed. Besides, the future development prospects were analyzed with the present technical level.
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Medical services, medical insurance institutions, medical administrations, pharmaceutical and medical device manufacturers, pharmaceutical and medical device research institutes, and health-related service providers produce large amounts of data in the operation, which constitute medical and healthcare big data. Medical and healthcare big data is the important basic strategic resource of a country. The construction of the national big data platform for medical and healthcare management is of great significance to the development of healthcare in China, and will bring new development and change. Medical devices and equipments are essential to the provision of quality services, the lack of safe and effective and functional medical equipments will affect the quality of healthcare services, affect the diagnosis and treatment of patients, and even threaten the healthy development of the entire healthsystem. Application of IoT technology and big data technology, and with the help of the national big data platform for medical and healthcare management, can solve many problems existing in the supervision and evaluation of medical devices, medical device adverse event control, hospital medical equipment maintenance (such as maintenance, condition monitoring, accident retrospective, evaluation and scrap) and medical device acquisition process, so as to improve the management efficiency and management level of medical devices and improve the efficiency of medical equipment production enterprises in product registration, after-sale service and adverse events protection. This process has a realistic driving significance and long-term strategic significance to our medical system. In this paper, the problems in the management of medical equipment in China were analyzed, and the function of the national big data platform for medical and healthcare management in medical equipment management were introduced and analyzed.
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The reform of medical and healthcare system is the inevitable process for the medical and healthcare developing in China.The main contents of the reform include establishing a scientific and reasonable system of medical treatment and classification,a scientific and effective modern hospital management system,a universal medical insurance system with efficient operation,a standardized and orderly drugs and medical equipment supply,and a strict and standardized comprehensive supervision system.The national big data platform for medical and healthcare management can play an important role in the reform of medical and healthcare system in China.First,it can help to improve the treatment effect of the disease,improve the prognosis,reduce the morbidity and mortality rate,and improve the health level.Second,it can effectively control the risk of medical insurance funds,and reduce the fund operational risk.Third,it can improve the efficiency of healthcare services and medical service resource utilization,so as to reduce medical costs.Fourth,it can help to build the link between residents and family doctors and hospitals,and to promote the medical consortium and hierarchical medical system through electronic signatures,online booking,telemedicine,real-time health monitoring,and two-way referral.Fifth,it can help to establish a medicine and medical equipment circulation system with the characteristics of source-traceable,full controllable,risk-preventable,responsibility-assessable,performance-assessable,and open-and-transparent.Finally,it can effectively improve the quality evaluation and regulatory level of the medical system in China.The existing problems in medical reform in China were introduced,and the relationship and the significance of the national big data platform for medical and healthcare management to medical and healthcare system reform were analyzed.
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Objective To study the concentration distribution of acetone in fasting exhaled breath in diabetic patients and healthy subjects,to explore the effect of individual indexes on the concentration of acetone in fasting exhaled breath,and to study the role of individual indexes of fasting exhaled breath acetone in diabetes screening.Methods The acetone concentration measurements of fasting exhaled breath were performed on 265 healthy subjects,39 patients with type 1 diabetes (T1D),and 300 patients with type 2 diabetes (T2D) using real-time online respiratory acetone analyzer based on cavity ring-down spectroscopy (CRDS).SPSS 19.0 software was used to eliminate outliers,and relevant statistical analysis was carried out with the corresponding gender,age,height,body mass,body mass index (BMI) and blood glucose concentration (BGL).The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of fasting breath acetone concentration for diabetes diagnosing.Results The mean fasting breath acetone concentration in T1D patients was (2.24±1.43)×10-6 was significantly higher than (1.43±0.55)×10-6 in healthy subjects and (1.41±0.73)×10-6 in T2D patients,and the differences were statistically significant (all P＜0.05).The average fasting breath acetone concentration in male diabetic patients was higher than that in female patients.The mean fasting breath acetone concentration was positively correlated with age (R=0.31,P＜0.01) in healthy subjects,was positively correlated with BMI (R=0.33,P＜0.05) in T1D patients,and was positively correlated with height (R=0.18,P＜0.01) in T2D patients.The area under the ROC curve for the diagnosis of T1D by fasting breath acetone concentration was 0.853 with a sensitivity of 71.9％ and specificity of 87.4％ (P＜0.01),and for the diagnosis of T2D was 0.528 with a sensitivity of 54.1％ and specificity of 55.0％ (P＞0.05).Conclusions The detection of fasting breath acetone concentration is meaningful for T1D diagnosing,but has a low accuracy for T2D diagnosing (no statistically significant).
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Non-communicable chronic diseases are important public health problems. Most chronic diseases can be avoided through preventive care and effectively controlled through early detection, and the therapeutic effect can be improved by active communication. The existing chronic disease management is based on public health management which cannot meet the needs of prevention and control of chronic disease in China. On the basis of healthcare data collection and monitoring on chronic disease patients, high risk population of chronic diseases and healthy individuals, a new chronic disease management mode can be achieved using data mining, cloud computing and other technologies. In this mode, the model of chronic disease prediction and analysis is established, and leading to risk factors for chronic disease is positioned. The healthy people can receive guidance on health management, the high-risk groups can get health risk assessment and early warning so as to guide their effective intervention, and the chronic disease patients can take personalized treatment and prognosis tracking by using this model. In this paper, the meaning, problems and methods of chronic disease management based on the big data platform for medical and healthcare management were introduced and analyzed.
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Objective To investigate the incidence of radioactivity uptake in thymus combined with serum thyroglobulin (Tg) increase in differentiated thyroid cancer (DTC) patients after high-dose 131I treatments,in order to discuss the mechanism of thymus iodine uptaking and Tg increasing.Methods Retrospective analysis of the laboratory examinations and 131Iwhole body scan (131I-WBS) images in 316 DTC patients were performed.The radioactivity uptake in thymus and the Tg level were observed.Results Among 316 patients (total 735 case-times),4 patients of 5 cases-times 131I-WBS showed radioactivity uptake in thymus,accounting for 0.68％ (5/735).All the radioactivity uptake in thymus were found by posttreatment 131I whole body scan (Rx-WBS) and after the second radioactive iodine treatment.For 1 of 4 patients,Rx-WBS still showed thymic uptake 131I after the third radioactive iodine treatment.The serum Tg increased in 3 patients (4 caestimes Rx-WBS) of radioactivity uptake in thymus with the Tg level before Rx-WBS was 13.80 μg/L,＞300.00 μg/L,16.40 μg/L,20.60μg/L,respectively.Conclusion In order to avoid the inappropriate administration of radioiodine therapy,thymic uptake should be identified carefully in DTC patients whose radioactivity uptake is only found at the upper mediastinal and combined with serum Tg increase.
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Objective In this study ,the effect of Spirulina kinase(SPK)on hemorheology ,platelet aggregation and cAMP in acute blood stasis rats model were investigated .Methods Forty SD rats were randomly divided into normal control group ,model group ,aspirin group and the high and low dose of SPK groups .All treatments were performed by gavage once a day for 7 days .Sub-cutaneous injection of adrenalin combined with ice water bath were used to establish the acute blood stasis rat model .The whole blood viscosity ,plasma viscosity ,red blood cell hematocrit (Hct) ,erythrocyte aggregation index (EAI) ,red blood cell deformation index(DI)anderythrocyterigidityindex(ERI)weredetectedbyautomaticbloodflow speedanalyzer .Meanwhile,thelevelofcAMP was detected by ELISA method .Rat platelet aggregation induced by ADP and the maximum aggregation rate was measured by tur-bidimetry .Results Results showed that SPK could significantly decrease the whole blood viscosity ,plasma viscosity ,Hct ,EAI and platelet aggregation rate ,increase the level of cAMP compared with model group(P<0 .05) ,but had no effect on DI and ERI .Con-clusion SPK can markedly improve the abnormal changes of hemorheology in acute blood stasis rats and inhibit the platelet aggregation .
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Big data will change the way of managing,analyzing,and utilizing data in any industries.In the medical and healthcare field,health management is the development direction of the future medical model.Health management is the most basic and representative functions of the national big data platform for medical and healthcare management.For individuals,effective health management can achieve the purpose of not pre-emptive treatment,and for the society,effective health management can effectively control the development of group disease,reduce the loss of medical resources,reduce medical expenses and improve the utilization of medical resources.Although the application of healthcare big data is still restrained by factors such as data quality,data missing,data silos,data security and data processing technologies,the health management based on the national big data platform is expected to play an important role in some research fields including prevention and control of chronic noncommunicable diseases,intervention technology of sub-health status,health status detection and evaluation,and the pathogenesis of infectious diseases.Based on the essence and function of health management,the significance the national big data platform for medical and healthcare management was expounded.
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OBJECTIVE:To study the anti-coagulation effect and mechanism of fibrinolytic enzyme SNFE in sipuculus nudus, and provide reference for further development of SNFE. METHODS:40 mice were randomly divided into blank control group(nor-mal saline),Xueshuantong group(positive control,15 mg/kg)and SNFE low-dose,high-dose group(15,30 mg/kg),10 in each group. After intravenous injection in tail,tail bleeding time (BT) and clotting time (CT) were respectively determined to investi-gate the anti-coagulation effect of SNFE. After taking blood in abdominal aorta of rats,test was divided into blank control group, positive control group and SNFE low-mass concentration,medium-mass concentration,high-mass concentration groups (0.25, 0.50,1.00 mg/mL). Prothrombin time(PT),re-calcium time(PRT)(using orokinase as positive drug,100000 U/mL),and max-mum platelet aggregation rate (PAG) in 5 min under adenosine diphosphate (ADP) inducer (using asprin as positive drug,0.50 mg/mL) were respectively determined,and anti-coagulation effect mechanism of SNFE was analyzed. RESULTS:Compared with blank control group,BT,CT of mice in each group were prolonged,with statistical significance in Xueshuantong group and SNFE high-dose group (P<0.05 or P<0.01). Plasma PT of rats in positive control group,SNFE medium-dose,high-dose groups and PRT in each administration group were significantly prolonged(P<0.05 or P<0.01);and PAG in administration group was signifi-cantly reduced(P<0.01). CONCLUSIONS:The fibrinolytic enzyme SNFE in sipuculus nudus can play its anti-coagulant effect by inhibiting the activity of coagulation factors in internal and external sources and ADP-induced platelet aggregation.
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In the field of medicine and healthcare,giant medical and heaithcare information is created by medical institutions,medical information platforms,digital medical equipments,intelligent health electronic products,wearable personal health equipment,and other heahh-related information platforms.The sum of these information forms the medical and healthcare big data.The development and application of this big data not only can improve the medical and health system,but also can promote the development of health industry,which has realistic and long-term strategic significance to national economic development.In this paper,the basic characteristics of medical and healthcare big data were introduced,and the problems and challenges in the application of this big data in China were analyzed.In order to improve the level of informatization and management efficiency of medical and healthcare management in China,a national medical and healthcare big data platform was proposed,which can integrate omnidirectional and full-cycle health-related information of institutions and individuals in China.In addtion,the construction mode,operation mode,data source and platform function of this platform were introduced.
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OBJECTIVE:To study the anti-coagulation effect and mechanism of fibrinolytic enzyme SNFE in sipuculus nudus, and provide reference for further development of SNFE. METHODS:40 mice were randomly divided into blank control group(nor-mal saline),Xueshuantong group(positive control,15 mg/kg)and SNFE low-dose,high-dose group(15,30 mg/kg),10 in each group. After intravenous injection in tail,tail bleeding time (BT) and clotting time (CT) were respectively determined to investi-gate the anti-coagulation effect of SNFE. After taking blood in abdominal aorta of rats,test was divided into blank control group, positive control group and SNFE low-mass concentration,medium-mass concentration,high-mass concentration groups (0.25, 0.50,1.00 mg/mL). Prothrombin time(PT),re-calcium time(PRT)(using orokinase as positive drug,100000 U/mL),and max-mum platelet aggregation rate (PAG) in 5 min under adenosine diphosphate (ADP) inducer (using asprin as positive drug,0.50 mg/mL) were respectively determined,and anti-coagulation effect mechanism of SNFE was analyzed. RESULTS:Compared with blank control group,BT,CT of mice in each group were prolonged,with statistical significance in Xueshuantong group and SNFE high-dose group (P<0.05 or P<0.01). Plasma PT of rats in positive control group,SNFE medium-dose,high-dose groups and PRT in each administration group were significantly prolonged(P<0.05 or P<0.01);and PAG in administration group was signifi-cantly reduced(P<0.01). CONCLUSIONS:The fibrinolytic enzyme SNFE in sipuculus nudus can play its anti-coagulant effect by inhibiting the activity of coagulation factors in internal and external sources and ADP-induced platelet aggregation.
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In the field of medicine and healthcare,giant medical and heaithcare information is created by medical institutions,medical information platforms,digital medical equipments,intelligent health electronic products,wearable personal health equipment,and other heahh-related information platforms.The sum of these information forms the medical and healthcare big data.The development and application of this big data not only can improve the medical and health system,but also can promote the development of health industry,which has realistic and long-term strategic significance to national economic development.In this paper,the basic characteristics of medical and healthcare big data were introduced,and the problems and challenges in the application of this big data in China were analyzed.In order to improve the level of informatization and management efficiency of medical and healthcare management in China,a national medical and healthcare big data platform was proposed,which can integrate omnidirectional and full-cycle health-related information of institutions and individuals in China.In addtion,the construction mode,operation mode,data source and platform function of this platform were introduced.
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It analyzed the definition, mechanism, characteristics of Mirror Visual Feedback and summarized the application of mirror visual feedback in recovering upper limb function after stroke patients at home and abroad, so as to provide evidences for the further research in China.
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Objective To design a laser acupuncture instrument with dual wavelength and multi-channel,under the guidance of traditional Chinese medicine acupuncture theory and according to low-level laser induced effect in bio-tissues and compatibility characteristics of acupuncture points.Methods Using SCM and semiconductor laser,hardware circuitry was designed to achieve the basic functions of the instrument,and the corresponding PC software was developed.Results The laser acupuncture treatment for several acupuncture points could be carried out at the same time with the same or different laser parameters (wavelength,power density,continuous/pulse),and each channel could output 635 nm and 808 nm laser,with continuous adjustable power.Conclusions The dual wavelength multi-channel laser acupuncture instrument can meet the needs of compatibility during clinical acupuncture treatment and is easy to operate.
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Myofascial pain syndrome (MPS) is a common skeletal muscle pain and dysfunction,characterized by the presence of myofascial pain points (MTrPs).At present,the main method of locating MTrPs is palpation which has lower intra-rater reliability,and lacks an objective evaluation approach for therapeutic effects.Therefore,the research on objective evaluation of the characteristics of MPS has been receiving great attention.These studies involve stiffness of trigger points,fascia thickness,surface temperature and other aspects through various methods,such as ultrasonic imaging,magnetic resonance imaging,infrared thermal imaging.In this paper,the research progress and methods of MPS in imaging were surveyed,which can provide the basis for the clinical diagnosis and objective evaluation of therapeutic effects.