关键词: Cluster analysis Cognitive impairment Dementia Major depressive disorder Neurofilament light chain

Mesh : Aged Humans Alzheimer Disease / diagnosis Amyloid beta-Peptides Biomarkers Cognition Cognitive Dysfunction / diagnosis epidemiology Cross-Sectional Studies Dementia / diagnosis Depressive Disorder, Major / complications diagnosis epidemiology Intermediate Filaments Neurodegenerative Diseases Cluster Analysis

来  源:   DOI:10.1186/s12877-024-04960-z   PDF(Pubmed)

Abstract:
BACKGROUND: Cognitive impairment is a growing problem with increasing burden in global aging. Older adults with major depressive disorder (MDD) have higher risk of dementia. Neurofilament light chain (NfL) has been proven as a potential biomarker in neurodegenerative disease, including dementia. We aimed to investigate the association between cognitive deficits and NfL levels in older adults with MDD.
METHODS: In this cross-sectional study, we enrolled 39 MDD patients and 15 individuals with mild neurocognitive disorder or major neurocognitive disorder, Alzheimer\'s type, as controls, from a tertiary psychiatric hospital. Both groups were over age 65 and with matched Mini-Mental State Examination (MMSE) score. Demographic data, clinical variables, and plasma NfL levels were obtained. We used cluster analysis according to their cognitive profile and estimated the correlation between plasma NfL levels and each cognitive domain.
RESULTS: In the MDD group, participants had higher rate of family psychiatry history and current alcohol use habit compared with controls. Control group of neurocognitive disorders showed significantly lower score in total MMSE and higher plasma NfL levels. Part of the MDD patients presented cognitive deficits clustered with that of neurocognitive disorders (cluster A). In cluster A, the total MMSE score (r=-0.58277, p=0.0287) and the comprehension domain (r=-0.71717, p=0.0039) were negatively correlated to NfL levels after adjusting for age, while the associations had not been observed in the other cluster.
CONCLUSIONS: We noted the negative correlation between NfL levels and cognition in MDD patients clustered with neurodegenerative disorder, Alzheimer\'s type. NfL could be a promising candidate as a biomarker to predict subtype of patients in MDD to develop cognitive decline. Further longitudinal studies and within MDD cluster analysis are required to validate our findings for clinical implications.
摘要:
背景:随着全球老龄化负担的增加,认知障碍是一个日益严重的问题。患有重度抑郁症(MDD)的老年人患痴呆症的风险更高。神经丝轻链(NfL)已被证明是神经退行性疾病的潜在生物标志物,包括痴呆症.我们的目的是调查老年MDD患者认知缺陷与NfL水平之间的关系。
方法:在这项横断面研究中,我们纳入了39例MDD患者和15例轻度神经认知障碍或重度神经认知障碍患者,阿尔茨海默氏症的类型,作为控制,来自三级精神病医院.两组年龄均在65岁以上,并具有匹配的迷你精神状态检查(MMSE)评分。人口统计数据,临床变量,并获得血浆NfL水平。我们根据他们的认知概况使用聚类分析,并估计了血浆NfL水平与每个认知领域之间的相关性。
结果:在MDD组中,与对照组相比,参与者的家庭精神病史和当前饮酒习惯发生率较高.神经认知障碍的对照组显示总MMSE评分明显较低,血浆NfL水平较高。部分MDD患者的认知缺陷与神经认知障碍(A组)聚集在一起。在A组中,调整年龄后,MMSE总分(r=-0.58277,p=0.0287)和理解域(r=-0.71717,p=0.0039)与NfL水平呈负相关,而在另一组中未观察到关联。
结论:我们注意到在聚集有神经退行性疾病的MDD患者中,NfL水平与认知之间呈负相关,阿尔茨海默氏症的类型。NfL可能是一个有希望的候选生物标志物,以预测MDD患者的亚型发展为认知下降。需要进一步的纵向研究和MDD聚类分析来验证我们的发现的临床意义。
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