Kesler Shelli R
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Neurobiol Aging. 2014 Sep;35 Suppl 2:S11-9. doi: 10.1016/j.neurobiolaging.2014.03.036. Epub 2014 May 15.
Chronic medical conditions and/or their treatments may interact with aging to alter or even accelerate brain senescence. Adult onset cancer, for example, is a disease associated with advanced aging and emerging evidence suggests a profile of subtle but diffuse brain injury following cancer chemotherapy. Breast cancer is currently the primary model for studying these "chemobrain" effects. Given the widespread changes to brain structure and function as well as the common impairment of integrated cognitive skills observed following breast cancer chemotherapy, it is likely that large-scale brain networks are involved. Default mode network (DMN) is a strong candidate considering its preferential vulnerability to aging and sensitivity to toxicity and disease states. Additionally, chemotherapy is associated with several physiological effects including increased inflammation and oxidative stress that are believed to elevate toxicity in the DMN. Biomarkers of DMN connectivity could aid in the development of treatments for chemotherapy-related cognitive decline.
慢性疾病及其治疗可能与衰老相互作用，改变甚至加速脑衰老。例如，成人期发病的癌症是一种与衰老相关的疾病，新出现的证据表明，癌症化疗后会出现轻微但弥漫性的脑损伤。乳腺癌目前是研究这些“化疗脑”效应的主要模型。鉴于乳腺癌化疗后观察到脑结构和功能的广泛变化以及综合认知技能的普遍受损，大规模脑网络可能参与其中。考虑到默认模式网络（DMN）对衰老的优先易损性以及对毒性和疾病状态的敏感性，它是一个有力的候选对象。此外，化疗与多种生理效应相关，包括炎症增加和氧化应激，这些被认为会提高DMN中的毒性。DMN连通性的生物标志物有助于开发治疗化疗相关认知衰退的方法。
