健脾益肾方对非小细胞肺癌细胞体外增殖凋亡作用的实验研究

目的:探讨健脾益肾方对非小细胞肺癌(NSCLC)细胞体外增殖凋亡的作用。方法:人NSCLC细胞系A549分为四组:空白对照组(仅加入细胞培养液)、阴性对照组(加入细胞,不进行中药处理)、实验组(加细胞加中药处理)。荧光定量PCR和Western blot分别检测Survivin、Bcl-2和Caspase-3的mRNA和蛋白表达。MTT检测细胞增殖;流式细胞术检测细胞凋亡。结果:与空白对照组相比,阴性对照组细胞在24、48、72 h的吸光度值明显升高,细胞凋亡率下降,Survivin和Bcl-2 mRNA和蛋白相对表达量上调,Caspase-3 mRNA和蛋白相对表达量下调,组间比较差异有统计学意义(P<0.05);而健脾益肾方处理的实验组24、48、72 h的吸光度值均显著降低,细胞凋亡率显著上升,Survivin和Bcl-2 mRNA和蛋白相对表达量下调,Caspase-3 mRNA和蛋白相对表达量上调,与空白对照组相比差异有统计学意义(P<0.05)。结论:健脾益肾方可通过下调Survivin和Bcl-2、上调Caspase-3表达诱导NSCLC细胞凋亡,并抑制肿瘤细胞的增殖,进而抑制NSCLC的发展。     

基于中医古籍文献的升降散应用溯源及探析

通过对中医古籍中有关升降散论述的文献梳理,全面探讨其内涵。本方是在大黄、僵蚕为雏形的基础上增加蝉蜕、姜黄而成方,几经易名,终在杨璿《伤寒瘟疫条辨》中为后人所熟知。本方广泛用于治疗瘟疫,以丸剂、散剂为主,方便携带,便于服用;重用大黄旨在祛邪、逐秽;应用时视人之体质强弱和量其毒之轻重而判断用药多寡,并辅以米酒、生蜜等以顾护正气。杨璿将其由治疗“热疫”的专方扩展为治疗“表里三焦大热”的通用方剂,扩大了本方治疗疾病范围。     

The interaction between pain and movement

Study DesignClinical commentary.Introduction/PurposePain and movement are universally relevant phenomena that influence human experiences in readily observable ways. Improved understanding of pain-movement relationships can guide medical and rehabilitative approaches to recovery and decrease risk of dysfunctional long-term consequences of otherwise normal neuromuscular responses. Therefore, the overall intent of this article is to elucidate the relationships between pain and movement as they relate to clinical decision making.ConclusionsMotor output is highly adaptable, can be influenced by multiple mechanisms at various levels along the nervous system, and may vary between individuals despite similar diagnoses. Therefore, interventions need to be individualized and consider both the types of motor response observed (ie, whether the response is protective or maladaptive), and the patient's acute physical activity tolerance when prescribing exercise/movement.     

Childhood,families and the Internet: a qualitative approach on health assets

ObjectiveTo explore the views of the Internet in childhood, identifying both health assets and risks.MethodA qualitative study was performed using 14 focus groups, eight of which comprised boys and girls, four of which comprised parents and two of which were mixed (children and parents) in primary schools in urban and rural settings in Andalusia (Spain). Teachers in these schools were also asked to complete an online questionnaire using LimeSurvey. This study involved 114 individuals: 64 pupils (33 girls and 31 boys), 28 parents (18 mothers and 10 fathers), and 22 teachers (14 women and 8 men). Analysis of manifest content and underlying meanings was carried out. QSR NVivo 9 software was used to facilitate analysis and make it systematic.ResultsOur findings show how the differences in the way parents and children understand health and wellbeing affect the way they discuss the Internet and health. The discussion of results looks at the implications of computer literacy for public health and wellbeing, particularly with regard to health assets.ConclusionsParents and children understand the contribution of the Internet to health and wellbeing differently. Whilst parents emphasize the risks (unsafe environment, relationships and quality of information, social networks, physical problems and addiction), the children emphasize the assets offered by the Internet.     

互联网形势下医院离退休干部管理工作探索

当前我国科技技术进一步提升,国民生活水平也在不断地进步,对于医院离退休干部管理服务的要求也越来越高。对于医院的工作来说,处理好医院的退离休老干部是一项十分重要的工作,所以医院工作管理人员需要提高对于离退休老干部管理工作的重视。而在传统意义下医院离退休干部的管理服务,存在着较多的问题,而当前在互联网的形势下却能够实现更加具有科学化、合理化的服务。通过创新服务理念,对于管理方式进行改革,可以有效地改善当前对于医院离退休干部的管理服务水平,青年团员可以自行组成相应的志愿者,加强对于退休老人的关心,了解老干部在生活以及学习中出现的问题,并且采取有效的措施进行解决。本文通过以阐述我国当前离退休干部管理工作的现状作为切入点,进行分析探究,进一步提出互联网模式下提高我国医院离退休干部管理的对应措施。     

Are primary care physicians ill equipped to evaluate and treat childhood physical inactivity?

ABSTRACT

Objective

To investigate primary care physician clinical practice patterns, barriers, and education surrounding pediatric physical activity (PA), and to compare practice patterns by discipline.     

Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic

The coronavirus disease 2019 (COVID-19) has currently caused the mortality of millions of people around the world. Aside from the direct mortality from the COVID-19, the indirect effects of the pandemic have also led to an increase in the mortality rate of other non-COVID patients. Evidence indicates that novel COVID-19 pandemic has caused an inflation in acute cardiovascular mortality, which did not relate to COVID-19 infection. It has in fact increased the risk of death in cardiovascular disease (CVD) patients. For this purpose, it is dramatically inevitable to monitor CVD patients’ vital signs and to detect abnormal events before the occurrence of any critical conditions resulted in death. Internet of things (IoT) and health monitoring sensors have improved the medical care systems by enabling latency-sensitive surveillance and computing of large amounts of patients’ data. The major challenge being faced currently in this problem is its limited scalability and late detection of cardiovascular events in IoT-based computing environments. To this end, this paper proposes a novel framework to early detection of cardiovascular events based on a deep learning architecture in IoT environments. Experimental results showed that the proposed method was able to detect cardiovascular events with better performance (95.30% average sensitivity and 95.94% mean prediction values).