生物医学工程的精要、责任和展望

作为工程学的直属分支,建立生物医学工程学科的主要目的不是为了开辟一个新的科学研究领域,而是为了借助工程学的方法来解决生物医学领域所面临的实际问题,以及借助工程师们所接受的专业训练、所拥有的专业知识、所具备的工作技巧来提高医疗服务的质量和效果。工程学与生物医学的结合已取得了一些具有里程碑性质的成果。在中低收入国家,例如中国,生物医学工程有责任保证合理使用专业技术,为低廉、可靠、有效的医疗服务提供支持。本文将根据可预见和不可预见的学科发展限制和困难,对学科发展的现实目标和责任进行严肃、冷静地讨论。     

Chemistry comes to the cell: ASCB 2005

Chemical biology continues to find its way into biomedical research in new and exciting ways. The recent American Society of Cell Biology meeting showed how this discipline is making an impact in areas such as cell biology.     

氢气生物医学研究进展

氢气以其安全、有效、渗透性强、代谢产物只有水等特点,逐渐进入医学研究者和临床工作者的视野,并在近年来快速发展。大量研究证明,氢气对于包括肿瘤、炎症损伤、代谢疾病、神经性疾病等百余种疾病具有潜在的治疗作用。2020年新型冠状病毒肺炎（新冠肺炎）疫情全球大流行期间,氢气在新冠肺炎辅助治疗中也崭露头角。对氢气在生物医学的动物学、细胞学和临床研究领域的研究进展进行了总结,并主要综述了氢气在代谢性疾病、神经退行性疾病、急救和创伤医学以及肿瘤领域的研究进展,以期为氢气在生物医学领域的应用研究提供参考。     

Trends and developments in physical anthropology, 1990–91

The 1408 members of the American Association of Physical Anthropologists were surveyed by mail regarding professional background, training deficiencies, opinions regarding areas of future importance to the discipline, and teaching/research specializations. A total of 544 responses (39%) resulted; 71% were from professionals in the United States and 16% were from U.S. students. Survey results are compared to surveys done in 1971 and in 1978, and are broken into three cohorts: pre-1971 Ph.D.s, 1972–1978 Ph.D.s, and post-1979 Ph.D.s. Statistics and anatomy continue to be common training deficiencies across cohorts. Molecular/cell biology and writing are new training deficiencies that reflect contemporary concerns and trends in the discipline. Anatomy, genetics, ecology, and paleontology are still considered important to the future of physical anthropology; statistics, computer science, and the biomedical sciences are also thought to be of importance to its future. The most frequent teaching/research specializations are growth and development, evolutionary biology, and population studies. Genetics and primatology appear to be losing popularity; biomedical anthropology, statistics, and ecology appear to be gaining it. The survey results have implications for the future training of graduate students and for employment opportunities in physical anthropology.     

Pharmacology of traumatic brain injury: where is the "golden bullet"?

Traumatic brain injury (TBI) represents a major health care problem and a significant socioeconomic challenge worldwide. In the United States alone, approximately 1.5 million patients are affected each year, and the mortality of severe TBI remains as high as 35%-40%. These statistics underline the urgent need for efficient treatment modalities to improve posttraumatic morbidity and mortality. Despite advances in basic and clinical research as well as improved neurological intensive care in recent years, no specific pharmacological therapy for TBI is available that would improve the outcome of these patients. Understanding of the cellular and molecular mechanisms underlying the pathophysiological events after TBI has resulted in the identification of new potential therapeutic targets. Nevertheless, the extrapolation from basic research data to clinical application in TBI patients has invariably failed, and results from prospective clinical trials are disappointing. We review the published prospective clinical trials on pharmacological treatment modalities for TBI patients and outline future promising therapeutic avenues in the field.     

The landscape for epigenetic/epigenomic biomedical resources

Recent advances in molecular biology and computational power have seen the biomedical sector enter a new era, with corresponding development of Bioinformatics as a major discipline. Generation of enormous amounts of data has driven the need for more advanced storage solutions and shared access through a range of public repositories. The number of such biomedical resources is increasing constantly and mining these large and diverse data sets continues to present real challenges. This paper attempts a general overview of currently available resources, together with remarks on their data mining and analysis capabilities. Of interest here is the recent shift in focus from genetic to epigenetic/epigenomic research and the emergence and extension of resource provision to support this both at local and global scale. Biomedical text and numerical data mining are both considered, the first dealing with automated methods for analyzing research content and information extraction, and the second (broadly) with pattern recognition and prediction. Any summary and selection of resources is inherently limited, given the spectrum available, but the aim is to provide a guideline for the assessment and comparison of currently available provision, particularly as this relates to epigenetics/epigenomics.     

The landscape for epigenetic/epigenomic biomedical resources

Recent advances in molecular biology and computational power have seen the biomedical sector enter a new era, with corresponding development of Bioinformatics as a major discipline. Generation of enormous amounts of data has driven the need for more advanced storage solutions and shared access through a range of public repositories. The number of such biomedical resources is increasing constantly and mining these large and diverse data sets continues to present real challenges. This paper attempts a general overview of currently available resources, together with remarks on their data mining and analysis capabilities. Of interest here is the recent shift in focus from genetic to epigenetic/epigenomic research and the emergence and extension of resource provision to support this both at local and global scale. Biomedical text and numerical data mining are both considered, the first dealing with automated methods for analyzing research content and information extraction, and the second (broadly) with pattern recognition and prediction. Any summary and selection of resources is inherently limited, given the spectrum available, but the aim is to provide a guideline for the assessment and comparison of currently available provision, particularly as this relates to epigenetics/epigenomics.     

Cross-Sectional Analysis of Data from the U.S. Clinical Trials Database Reveals Poor Translational Clinical Trial Effort for Traumatic Brain Injury,Compared with Stroke

Traumatic brain injury (TBI) is an important public health problem, comparable to stroke in incidence and prevalence. Few interventions have proven efficacy in TBI, and clinical trials are, therefore, necessary to advance management in TBI. We describe the current clinical trial landscape in traumatic brain injury and compare it with the trial efforts for stroke. For this, we analysed all stroke and TBI studies registered on the US Clinical Trials (www.clinicaltrials.gov) database over a 10-year period (01/01/2000 to 01/31/2013). This methodology has been previously used to analyse clinical trial efforts in other specialties. We describe the research profile in each area: total number of studies, total number of participants and change in number of research studies over time. We also analysed key study characteristics, such as enrolment number and scope of recruitment. We found a mismatch between relative public health burden and relative research effort in each disease. Despite TBI having comparable prevalence and higher incidence than stroke, it has around one fifth of the number of clinical trials and participant recruitment. Both stroke and TBI have experienced an increase in the number of studies over the examined time period, but the rate of growth for TBI is one third that for stroke. Small-scale (<1000 participants per trial) and single centre studies form the majority of clinical trials in both stroke and TBI, with TBI having significantly fewer studies with international recruitment. We discuss the consequences of these findings and how the situation might be improved. A sustained research effort, entailing increased international collaboration and rethinking the methodology of running clinical trials, is required in order to improve outcomes after traumatic brain injury.     

Historical perspective of genetic research with nonhuman primates

Genetics became firmly established as a scientific discipline early in the twentieth century, but major genetic research programs that involve nonhuman primates have been initiated only in the last two decades. Considerable activity in this area has been stimulated by the concurrent development of powerful techniques for detecting variability in chromosomes, proteins, and DNA; the establishment of pedigreed breeding colonies; and the recognition that nonhuman primates are ideally suited as models of human disease and social structure. The subdisciplines of cytogenetics, immunogenetics, and biochemical genetics have established a firm basis for biomedical and evolutionary research with nonhuman primates, and they will contribute greatly to future research initiatives. More recently, the advent of molecular genetics has enhanced the opportunities for research; and the exploration of nonhuman primates as potential models for genetically mediated diseases has been richly rewarded.We stand at the threshold of a new and exciting era in genetic research with nonhuman primates. The results of research programs already underway not only will provide more definitive answers about the origin of man, but also will play a critical role in solving the health-related problems of the present and of the future.     

Lipidomics as a Principal Tool for Advancing Biomedical Research

Lipidomics,which targets at the construction of a comprehensive map of lipidome comprising the entire lipid pool within a cell or tissue,is currently emerging as an independent discipline at the interf...     

医学研究伦理学的发展现状与前景

创新技术的开展和转化医学的注重给医学的发展注入了新的活力,但同时,也带来了一系列社会伦理问题和法律问题。生命医学伦理学的兴起和发展催生了医学研究伦理学分支学科形成,目的在于推进解决涉及人体的医学研究的伦理问题。当前,面临的最突出的伦理问题在于,对医学研究合法性、先进性及伦理性的把握,对医学研究伦理审查必要性的认知,对医学研究方案设计与伦理道德的匹配,对医学研究知情同意的告知,对医学研究风险与受益的平衡。逐步与国际接轨,加强伦理委员会制度建设;提高伦理审查能力建设,形成高水平的伦理审查队伍;学术组织和团体共同努力,推进医学研究伦理学的发展,这将助推医学研究伦理学的发展。     

元基因组学及其在转化医学中的应用

微生物群落遍布于人体的每个角落,与人共生并对人体健康产生重要和深刻的影响。与人类共生的全部微生物的基因组总和称为“元基因组”或“人类第二基因组”。研究人体微生物群落及相关元基因组数据,对转化医学领域的基础研究和临床应用具有重要的价值。通过对生物医学相关的高通量元基因组数据进行分析,不仅能为基础医学研究向医学临床应用转化提供新思路和新方法,而且具有广阔的应用前景。基于新一代测序技术产生的数据,元基因组分析技术和方法能够弥补以往人体微生物先培养后鉴定方法的缺陷,同时能有效鉴定和分析微生物群落的组成及功能,从而进一步探究和揭示微生物群落与机体生理状态之间的关系,为解决许多医学领域的难题提供了全新的切入角度和思维方法。文章系统介绍了元基因组研究的现状,包括元基因组的方法概念和研究进展,并以元基因组在医学研究中的应用为着眼点,综述了元基因组在转化医学方面的研究进展,进一步阐述了元基因组研究在转化医学应用领域中具有的重要地位。     

一种基于本体集成的生物医学数据库中语义映射维护方法研究

生物医学数据库到生物医学本体的语义映射是基于本体集成生物医学数据库系统的一个重要环节.而生物医学本体随着学科的发展不断演化,造成了集成系统不稳定.针对这个问题,本文在本体演化条件下,分析并发现了语义映射的变化规律,设计了对应的维护流程和维护方法,并通过计算维护收益率证明了该方法对映射的维护是有效性的,从而增强了集成系统在本体演化条件下的稳定性.     

Combining experiments with multi-cell agent-based modeling to study biological tissue patterning

Agent-based modeling (ABM), also termed ‘Individual-basedmodeling (IBM)’, is a computational approach that simulatesthe interactions of autonomous entities (agents, or individualcells) with each other and their local environment to predicthigher level emergent patterns. A literature-derived rule setgoverns the actions of each individual agent. While this techniquehas been widely used in the ecological and social sciences,it has only recently been applied in biomedical research. Thepurpose of this review is to provide an introduction to ABMas it has been used to study complex multi-cell biological phenomena,underscore the importance of coupling models with experimentalwork, and outline future challenges for the ABM field and itsapplication to biomedical research. We highlight a number ofpublished examples of ABM, focusing on work that has combinedexperimental with ABM analyses and how this pairing producesnew understanding. We conclude with suggestions for moving forwardwith this parallel approach.      

Understanding signal transduction through functional proteomics

The study of signal transduction provides fundamental information regarding the regulation of all biologic processes that support the normal function of life. Functional proteomics, a rapidly emerging discipline that aims to understand the expression, function and regulation of the entire set of proteins in a given cell type, tissue or organism, offers unprecedented opportunity for signal transduction research in terms of understanding cellular behavior and regulation at the systems level. Indeed, swift progress in the area of proteomics has demonstrated the major impact of proteomic approaches on signal transduction and biomedical research. In this review, recent and innovative applications of functional proteomics in determining changes in protein contents, modifications, activities and interactions underpinning signaling transduction pathways are discussed.     

Proteomic analysis of traumatic brain injury: the search for biomarkers

Although there are a number of causes of traumatic brain injury (TBI), the armed conflict in Iraq and Afghanistan has brought this disorder to the attention of the global community. A biomarker that would enable army medics to rapidly diagnose the severity of TBI on the battle-field would be a huge asset. Unfortunately, the study of TBI has not historically attracted the proteomic research community’s interest as other disorders have, such as cancer. On the positive side, however, many of the analytical and technological challenges that were overcome in the development of biofluid proteomic methods are now being applied to the study of TBI. In this review, we discuss and highlight select examples of discovery-driven proteomic studies focused on finding effective biomarkers for TBI.     

Proteomic analysis of traumatic brain injury: the search for biomarkers

Although there are a number of causes of traumatic brain injury (TBI), the armed conflict in Iraq and Afghanistan has brought this disorder to the attention of the global community. A biomarker that would enable army medics to rapidly diagnose the severity of TBI on the battle-field would be a huge asset. Unfortunately, the study of TBI has not historically attracted the proteomic research community's interest as other disorders have, such as cancer. On the positive side, however, many of the analytical and technological challenges that were overcome in the development of biofluid proteomic methods are now being applied to the study of TBI. In this review, we discuss and highlight select examples of discovery-driven proteomic studies focused on finding effective biomarkers for TBI.     

Understanding signal transduction through functional proteomics

The study of signal transduction provides fundamental information regarding the regulation of all biologic processes that support the normal function of life. Functional proteomics, a rapidly emerging discipline that aims to understand the expression, function and regulation of the entire set of proteins in a given cell type, tissue or organism, offers unprecedented opportunity for signal transduction research in terms of understanding cellular behavior and regulation at the systems level. Indeed, swift progress in the area of proteomics has demonstrated the major impact of proteomic approaches on signal transduction and biomedical research. In this review, recent and innovative applications of functional proteomics in determining changes in protein contents, modifications, activities and interactions underpinning signaling transduction pathways are discussed.     

一种基于本体集成的生物医学数据库中语义映射维护方法研究

生物医学数据库到生物医学本体的语义映射是基于本体集成生物医学数据库系统的一个重要环节。而生物医学本体随着学科的发展不断演化,造成了集成系统不稳定。针对这个问题,本文在本体演化条件下,分析并发现了语义映射的变化规律,设计了对应的维护流程和维护方法,并通过计算维护收益率证明了该方法对映射的维护是有效性的,从而增强了集成系统在本体演化条件下的稳定性。