摘要
痴呆症的发病率不仅在发达国家而且在人口老龄化上升的发展中国家迅速增长。这一趋势预计将进一步恶化,在未来几十年病例数可能增至三倍。在过去的几十年里,流行病学研究表明血管或生活方式相关因素与阿尔茨海默氏病(AD)和痴呆症的风险增加有关。有关AD的病理生理过程的研究显示AD患者在出现症状前几十年就已开始发生大脑病理性损伤。许多预防研究结果表明身体活动和/或心理训练可以提高AD或轻度认知功能障碍(MCI)者的认知能力和日常生活。然而,早期发现和潜伏期以及基于这些阶段的有效的预防方法等问题仍未解决。因此,我们提出基于潜伏期的预防AD的不同策略:一是涉及身体和心理训练,针对没有发生病理生理变化患者的危险因素。第二种方法非药物和药物相结合的方法,旨在治疗发生淀粉样蛋白沉积改变的MCI患者个人和/或服用淀粉样蛋白级联药物的神经退行性病变患者。一些正在进行的和有前途的试验预计将在未来几年得出试验结果。
关键词: 阿尔茨海默氏病,淀粉样蛋白级联,心理训练,潜伏期的,预防策略,危险因素
Current Alzheimer Research
Title:Editorial (Thematic Issue: Prevention Strategies Targeting Different Preclinical Stages of Alzheimer’s Disease)
Volume: 12 Issue: 6
Author(s): Bin Zhou
Affiliation:
关键词: 阿尔茨海默氏病,淀粉样蛋白级联,心理训练,潜伏期的,预防策略,危险因素
摘要: The incidence of dementia is rapidly increasing not only in developed countries but also in developing countries with rising aging populations. This trend is expected to worsen, with the number of cases possibly tripling in the coming decades. Over the last few decades, epidemiological studies have revealed that vascular-or lifestyle-related factors are associated with an increased risk of Alzheimer’s disease (AD) and dementia. Researches into the pathophysiological processes of AD have revealed that the pathological brain lesions of AD begin decades before the onset of symptoms. Many prevention studies have indicated that physical activity and/or mental training can improve cognition and daily life in subjects with AD or mild cognitive impairment (MCI). However, issues with early detection and preclinical staging and effective preventive approaches that are based on these stages remain unresolved. Therefore, we propose different strategies for AD prevention based on its preclinical stages: one involves physical and mental training that targets the risk factors in subjects without pathophysiological changes, and the second approach combines nonpharmacological and pharmacological methods and aims to treat MCI in individuals with amyloid deposits and/or neurodegeneration with drugs that target the amyloid cascade. The results of several ongoing and promising trials are expected in the next few years.
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Cite this article as:
Bin Zhou , Editorial (Thematic Issue: Prevention Strategies Targeting Different Preclinical Stages of Alzheimer’s Disease), Current Alzheimer Research 2015; 12 (6) . https://dx.doi.org/10.2174/1567205012666150530202923
DOI https://dx.doi.org/10.2174/1567205012666150530202923 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
Call for Papers in Thematic Issues
New Advances in the Prevention, Diagnosis, Treatment, and Rehabilitation of Alzheimer's Disease
Aims and Scope: Introduction: Alzheimer's disease (AD) poses a significant global health challenge, with an increasing prevalence that demands concerted efforts to advance our understanding and strategies for prevention, diagnosis, treatment, and rehabilitation. This thematic issue aims to bring together cutting-edge research and innovative approaches from multidisciplinary perspectives to address ...read more
Diagnostic and therapeutic biomarkers of dementia
Dementia affects 18 million people worldwide. Dementia is a syndrome of symptoms caused by brain disease, usually chronic or progressive, clinically characterized by multiple impairments of higher cortical functions such as memory, thinking, orientation, and learning. In addition, in the course of dementia, cognitive deficits are observed, which often hinder ...read more
Early nutritional intervention and physical activity in the prevention of Alzheimer's disease and other dementias
The aim is to broaden the knowledge about the impact of the consumption of food ingredients, diet ingredients, methods of processing of food raw materials as well as the impact of composing of diets on the possibility of preventing Alzheimer's disease and other types of dementia at each stage of ...read more
Enhancing Alzheimer's Disease Diagnosis and Treatment Efficacy Prediction with Explainable AI, Radiomics, Biomarkers, and Multimodal Neuroimaging
The thematic issue, Enhancing Alzheimer's Disease Diagnosis and Treatment Efficacy Prediction with Explainable AI, Radiomics, Biomarkers, and Multimodal Neuroimaging, aims to bridge the gap between advanced computational techniques and clinical practice in Alzheimer’s disease research. Alzheimer’s disease poses significant challenges in early diagnosis, disease progression monitoring, and predicting treatment efficacy. ...read more
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