Rebeca Leon, Maryam Ghahremani, Dylan X Guan, Eric E Smith, Henrik Zetterberg, Zahinoor Ismail
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引用次数: 0
摘要
随着阿尔茨海默病(AD)患病率的上升,早期识别高危个体对于有效干预至关重要。轻度行为障碍(MBI),可以捕捉到生命后期出现的和持续的神经精神症状(NPS),可以增强对阿尔茨海默病的早期发现;然而,其与2024 NIA-AA Core 1生物标志物的关联仍未被探索。我们研究了MBI与脑脊液(CSF)淀粉样蛋白β-42 (Aβ42)和磷酸化tau-181 (p-tau181)之间的关系。方法分析1327名无痴呆阿尔茨海默病神经影像学倡议(ADNI)参与者的基线数据。参与者被分为MBI、非MBI NPS和无NPS。高斯混合模型定义生物标志物阳性。Logistic和多项Logistic回归模拟了NPS状态与生物标志物阳性或生物标志物谱之间的关联,调整了年龄、性别、教育和认知。结果smbi与a - β42+相关(aOR = 2.26;95% CI = 1.71-2.99), p-tau181+ (aOR = 1.72;95% CI = 1.30-2.28), AD连续谱(aOR = 2.33;95% CI = 1.73-3.14),但与非ad病理无关。非mbi NPS则无关联。结论mbi可作为AD病理的行为标志物。
Enhancing Alzheimer Disease Detection Using Neuropsychiatric Symptoms: The Role of Mild Behavioural Impairment in the Revised NIA-AA Research Framework.
BackgroundAs the prevalence of Alzheimer disease (AD) rises, early identification of at-risk individuals is essential for effective intervention. Mild behavioral impairment (MBI), which captures emergent and persistent neuropsychiatric symptoms (NPS) in later life, may enhance early detection of AD; however, its associations with 2024 NIA-AA Core 1 biomarkers remain unexplored. We investigated associations between MBI and cerebrospinal fluid (CSF) amyloid β-42 (Aβ42) and phosphorylated tau-181 (p-tau181).MethodBaseline data from 1327 dementia-free Alzheimer's Disease Neuroimaging Initiative (ADNI) participants were analyzed. Participants were classified as MBI, non-MBI NPS, or no NPS. Gaussian mixture modeling defined biomarker positivity. Logistic and multinomial logistic regressions modeled associations between NPS status and biomarker positivity or biomarker profiles, adjusting for age, sex, education, and cognition.ResultsMBI was associated with Aβ42+ (aOR = 2.26; 95% CI = 1.71-2.99), p-tau181+ (aOR = 1.72; 95% CI = 1.30-2.28), and AD continuum profile (aOR = 2.33; 95% CI = 1.73-3.14), but not with non-AD pathology. Non-MBI NPS showed no associations.ConclusionMBI may serve as a behavioral marker of AD pathology.
期刊介绍:
Journal of Geriatric Psychiatry and Neurology (JGP) brings together original research, clinical reviews, and timely case reports on neuropsychiatric care of aging patients, including age-related biologic, neurologic, and psychiatric illnesses; psychosocial problems; forensic issues; and family care. The journal offers the latest peer-reviewed information on cognitive, mood, anxiety, addictive, and sleep disorders in older patients, as well as tested diagnostic tools and therapies.