Prime-boost vaccine strategy against viral infections: Mechanisms and benefits

The essential goal of vaccination is to generate potent and long-term protection against diseases. Among different vaccine modalities, prime-boost vaccine strategies could enhance cellular and also humoral immunity in several animal models. These strategies have been applied for the development of vaccines against important infectious diseases such as HIV, SIV, HCV, HSV, and HBV indicating promising results even in clinical trials. Several factors including selection of antigen, type of vector, delivery route, dose, adjuvant, boosting regimen, the order of vector injection, and the intervals between different vaccinations influence the outcome of prime-boost immunization approaches. The reported data suggest that the prime-boost strategy as a combination of vaccines (i.e., heterologous prime-boost) may be better than a single vaccine for protection against infectious diseases. Indeed, in many cases, heterologous prime-boost can be more immunogenic than homologous prime-boost strategy. This review discusses the recent advances in prime-boost immunization strategies as well as their benefits and mechanisms of action.     

Pregnant women’s use and attitude toward herbal,vitamin, and mineral supplements in an academic tertiary care center,Riyadh, Saudi Arabia

Background

Herbal medicine has been widely utilized by pregnant women despite the limited available evidence regarding the safety and efficacy of that practice. The current available studies, from different countries, estimated that the use of herbal medicine during pregnancy range from 7% up to 96%. The aim of this study is to determine the prevalence, attitude, source of information, and reasoning behind the use of herbal medicine among pregnant women in Saudia Arabia.

The Geriatrician: The Frontline Specialist in the Treatment of COVID-19 Patients

On February 20, 2020, a man living in the north of Italy was admitted to the emergency room with an atypical pneumonia that later proved to be COVID-19. This was the trigger of one of the most serious clusters of COVID-19 in the world, outside of China. Despite aggressive restraint and inhibition efforts, COVID-19 continues to increase, and the total number of infected patients in Italy is growing daily. After 6 weeks, the total number of patients reached 128,948 cases (April 5, 2020), with the higher case-fatality rate (15,887 deaths) dominated by old and very old patients.This sudden health emergency severely challenged the Italian Health System, in particular acute care hospitals and intensive care units. In 1 hospital, geriatric observation units were created, the experience of which can be extremely useful for European countries, the United States, and all countries that in the coming days will face a similar situation.     

生殖专科机构预防新型冠状病毒肺炎感染的措施

新型冠状病毒肺炎(简称新冠肺炎, COVID-19)是近期流行的一种新发传染病,已造成大量人员感染,其中包括医务人员。为预防生殖医学的医院感染,有效降低新冠肺炎在生殖专科机构传播的风险,通过查询相关文献、指南和规范等,并结合生殖医学特点,制定生殖医学有关的临床区、手术室和实验室及相关人员预防新冠肺炎的措施。     

基础医学综合实验与实验设计课程教学改革实践

本着以课程为中心的原则，研究组在基础医学综合实验课程建设、运行方式、教学方法改革等方面积极探索；以联系疾病、联系应用为导向，广泛开展基于疾病动物模型制备及干预过程的实验教学；增加"创新性"实验项目，确保课程内容体现出前沿性和时代性；以生物医学前沿方法训练引领课程建设，着力培养学员的学习能力、实践能力和创新能力。此外，在优化以实践应用、创新性为导向的课程内容建设的基础上，打造虚拟仿真实验项目，尝试线上线下混合式教学，全方位提升学员的实践运用能力。     

PBL教学法在临床心肺复苏术教学中的应用分析

目的 分析重症医学科PBL教学法在临床心肺复苏术教学中的应用效果.方法 本次实验的开展基础数据选择2016年9月—2018年7月进入医院重症医学科实习学生64例,按照学生自身意愿以及学校安排将参与实验学生分为均数相同的两个小组(对照组、观察组),每组实验人数均为32例,其中对照组(n=32)采用传统教学方法 ,观察组(n=32)则应用PBL教学法教学,对比两组学生在学期结束后整体的学习质量情况和教学满意率.结果 观察组学生经过测试后理论知识和专业技能得分均对比对照组更高,教学效果更加理想,观察组学生对于教学的满意率评价更高,P<0.05.结论 重症医学科临床心肺复苏术教学中应用PBL教学法,将理论与实践进行结合,对教学方法 进行改进,全面提升学生的思维理解能力,培养良好的动手能力,促进理论教学与实践的结合,为学生以后的职业生涯提供更加理想的条件.     

Sequential Therapy Based on Evolvement of Patterns: A New Model for Treatment of Alzheimer’s Disease

In order to solve the problem of long-term (>9 months) efficacy in the treatment of Alzheimer''s disease (AD) by conventional therapy (CT), a staged and multiply-targeted sequential therapy based on the evolvement of patterns (STEP) was developed. Its main innovations include: (1) the time order of evolution of patterns defined by Chinese medicine (CM) in AD was found, that is, "the orderly pattern evolution starting from Shen (Kidney) deficiency, progressing to phlegm, stasis and fire, and worsening to severe toxin as well as functional collapse"; (2) the cascade hypothesis of Shen deficiency in AD and its sequential therapy based on Shen-reinforcing was proposed, that is, "reinforcing Shen in the early stage and throughout the whole process, resolving phlegm, activating blood and purging fire in the middle stage, detoxifying and replenishing vitality to stop the collapse in the advanced stage", and through meta-analysis, clinical drug use was optimized, thus the leap from "inferential selection" to "evidence-based selection" was realized; (3) the STEP regimen combined with CT maintained cognitive and behavioral stability in AD patients for at least 12 months, with cognitive enhancement and behavioral synergy after 9 months, and cognitive benefit was superior to CT at 9, 12, 15, 18, 21, and 24 months, respectively. The 2-year cognitive improvement rate was increased by 25.64% (P=0.020) and the cognitive deterioration rate was decreased by 48.71% (P=0.000). Among them, the cognitive and functional benefits of Shen-reinforcing therapy for very early AD (350 cases) for 1 year were better than the placebo (P<0.001), and the dementia conversion rate was reduced by 8.85% (P=0.002). The behavioral symptomatic relief of patients with vascular dementia received fire-purging therapy (540 cases) was superior to those received CT (P=0.016). These data suggested that the STEP regimen has synergistic effects on CTs at least in terms of cognitive benefit, and the earlier the use, the greater the benefit will have. Therefore, the STEP regimen should be considered as one of the clinical options, particularly for the dearth of effective pharmaceutical or immunological interventions that are currently available for AD.     

一种面向中医药数据的高效脱敏算法＊

目的 针对中医药大数据平台传统的加密方案效率不高的问题，提出一种高效的基于属性的内积加密的数据脱敏算法。方法 Hash（哈希）算法是应用广泛的高效的数据加密方法，但传统的哈希算法基于单一的控制策略，效率不高。本文提出一种基于属性的内积加密的数据脱敏算法，把批量的敏感数据分割为不同长度数据颗粒度，与特定密文的哈希进行内积处理。结果 在面对中医药大数据平台的海量数据加密的场景，与传统的哈希加密算法相比，本文提供的加密算法具有很好的性能。结论 为了保障个人隐私数据不被泄露，中医药大数据平台中的个人医疗数据需要加密脱敏后，才能进行分析处理或对外发布。本文提出的算法具备灵活的数据颗粒度、策略和高效的性能表现，适用于海量的中医药数据脱敏。