抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

The National Institute on Aging and the Alzheimer's Association charged a workgroup with the task of revising the 1984 criteria for Alzheimer's disease (AD) dementia. The workgroup sought to ensure that the revised criteria would be flexible enough to be used by both general healthcare providers without access to neuropsychological testing, advanced imaging, and cerebrospinal fluid measures, and specialized investigators involved in research or in clinical trial studies who would have these tools available. We present criteria for all-cause dementia and for AD dementia. We retained the general framework of probable AD dementia from the 1984 criteria. On the basis of the past 27 years of experience, we made several changes in the clinical criteria for the diagnosis. We also retained the term possible AD dementia, but redefined it in a manner more focused than before. Biomarker evidence was also integrated into the diagnostic formulations for probable and possible AD dementia for use in research settings. The core clinical criteria for AD dementia will continue to be the cornerstone of the diagnosis in clinical practice, but biomarker evidence is expected to enhance the pathophysiological specificity of the diagnosis of AD dementia. Much work lies ahead for validating the biomarker diagnosis of AD dementia.

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The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease

Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268

Data Mining Practical Machine Learning Tools and Techniques

Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Physiological brain aging is characterized by a loss of synaptic contacts and neuronal apoptosis that provoke age-dependent decline of cognitive functions. Neural/synaptic redundancy and plastic remodelling of brain networking, also secondary to mental and physical training, promotes maintenance of brain activity in healthy elderly for everyday life and fully productive affective and intellectual capabilities. However, age is the main risk factor for neurodegenerative disorders such as Alzheimer's disease (AD) that impact on cognition. Oscillatory electromagnetic brain activity is a hallmark of neuronal network function in various brain regions. Modern neurophysiological techniques including electroencephalography (EEG) can index normal and abnormal brain aging to facilitate non-invasive analysis of cortico- cortical connectivity and neuronal synchronization of firing, and coherence of rhythmic oscillations at various frequencies. The present review provides a perspective of these issues. It is concluded that discrimination between physiological and pathological brain aging clearly emerges at the group level, with applications at the individual level also suggested. Integrated approaches utilizing neurophysiological techniques together with biological markers and structural and functional imaging are promising for large-scale, low-cost and non-invasive evaluation of at-risk populations.

Resting State Cortical Electroencephalographic Rhythms in Alzheimer's Disease

To the Editor: The article by Kertesz et al [1] reported three cases of primary progressive aphasia (PPA) with pathologic features of Pick's disease. The authors conclude that "PPA is a syndrome whose most common substrate is a variant of Pick's disease."

The nosology of non-Alzheimer type cortical dementia has been recently reviewed, and Pick's disease has been considered a histologic variant of frontotemporal dementia. [2,3] The earliest and most suggestive clinical findings of frontotemporal dementia are behavioral disturbances, affective symptoms, and speech disorder. [3,4] The …

Giovanni B. Frisoni

Papers

Resting State Cortical Electroencephalographic Rhythms in Alzheimer's Disease

Primary progressive aphasia and frontal lobe involvement

The specificity of amyloid imaging in the diagnosis of neurodegenerative diseases.

Dementia: important advances in research in 2006

Editorial: EADC (European Alzheimer Disease Consortium) recommendations for future Alzheimer disease research in Europe.