The Biological Intersection Between Chemotherapy-Related Cognitive Impairment and Alzheimer Disease

IF 3.6 2区 医学 Q1 PATHOLOGY American Journal of Pathology Pub Date : 2025-11-01 Epub Date: 2025-01-23 DOI:10.1016/j.ajpath.2024.12.013
Matthew Torre , Camila A. Zanella , Mel B. Feany
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Abstract

Alzheimer disease (AD) is the most common type of dementia and one of the leading causes of death in elderly patients. The number of patients with AD in the United States is projected to double by 2060. Thus, understanding modifiable risk factors for AD is an urgent public health priority. In parallel with the number of patients with AD, the number of cancer survivors is estimated to increase significantly, and up to 80% of cancer patients treated with chemotherapy will develop cognitive deficits, termed chemotherapy-related cognitive impairment. This review discusses biologically plausible pathways underlying both disorders, with the goal of understanding why a proportion of chemotherapy patients may be at higher risk of developing AD. Highlighted are the E4 allele of the apolipoprotein E gene, neuroinflammation, oxidative stress, DNA damage, mitochondrial dysfunction, neuronal and synaptic loss, cellular senescence, brain-derived neurotrophic factor signaling, white matter damage, blood–brain barrier/vascular dysfunction, tau pathology, and transposable element reactivation.
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化疗相关认知障碍与阿尔茨海默病之间的生物学交叉。
阿尔茨海默病(AD)是最常见的痴呆症类型,也是老年患者死亡的主要原因之一。到2060年,美国阿尔茨海默病患者的数量预计将翻一番。因此,了解阿尔茨海默病可改变的危险因素是当务之急。与AD患者同时,癌症幸存者的数量估计会显著增加,高达80%的接受化疗的癌症患者会出现认知缺陷,称为化疗相关认知障碍(CRCI)。本综述讨论了两种疾病背后的生物学途径,目的是了解为什么一部分化疗患者可能有更高的AD发病风险。重点是载脂蛋白E基因的E4等位基因、神经炎症、氧化应激、DNA损伤、线粒体功能障碍、神经元和突触丧失、细胞衰老、脑源性神经营养因子信号传导、白质损伤、血脑屏障/血管功能障碍、tau病理学和转座因子再激活。
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来源期刊
CiteScore
11.40
自引率
0.00%
发文量
178
审稿时长
30 days
期刊介绍: The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.
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