Exploratory factor and network analysis of 43 inflammatory plasma biomarkers and cognitive performance in Black adults.

IF 3.4 3区 医学 Q2 NEUROSCIENCES
Ramkrishna K Singh, Semere Bekena, Alexis I B Walker, Kaylin Taylor, Yiqi Zhu, Subrata Pal, Essa A Mohamed, Jean-Francois Trani, Ian Kaplan, Ganesh M Babulal
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Abstract

BackgroundSystemic inflammation has been implicated in cognitive aging and neurodegeneration; however, inflammatory biomarkers are expressed in coordinated patterns rather than as isolated markers.ObjectiveTo identify latent inflammatory biomarker groupings and evaluate their associations with cognitive performance among midlife and older adults.MethodsThis cross-sectional study included 334 participants from the Aging Research Characterizing Health Exposome via Social Drivers (ARCHES) study. Cognitive performance was assessed using the Preclinical Alzheimer Cognitive Composite (PACC). Plasma inflammatory biomarkers were quantified using the NuLISA™ multiplex immunoassay platform. Exploratory factor analysis (EFA) (minimum residual extraction, oblimin rotation) identified latent inflammatory factors, retaining biomarkers with loadings ≥0.40. Factor scores were evaluated in multivariable linear regression models adjusted for age, sex, education, and genotype status; sensitivity analyses adjusted for socioeconomic context, medication use, BMI, lifestyle factors, and clinical diagnoses. Age-stratified and nonlinear spline analyses were conducted.Results27 of 43 biomarkers formed an eight-factor structure explaining 43% of variance. Two factors were significantly associated with cognitive performance after FDR correction. Factor 4 (CCL4, CXCL1, S100A12) and Factor 5 (IL2, IL5, IL13, IL10, CSF2) were inversely associated with PACC scores. These associations remained consistent across sensitivity analyses. Age-stratified analyses showed that several inflammatory factors were associated with cognitive performance among participants aged 45-<65 years, whereas no factors remained significant among participants aged ≥65 years after FDR correction. Nonlinear modeling indicated a non-linear age-cognitive performance relationship.ConclusionsEFA identified clusters of correlated inflammatory biomarkers associated with cognitive performance in this cohort of midlife and older adults.

43种炎症血浆生物标志物与黑人成人认知表现的探索性因素和网络分析。
背景:全身性炎症与认知衰老和神经变性有关;然而,炎症生物标志物以协调的模式表达,而不是作为孤立的标志物。目的确定潜伏性炎症生物标志物组,并评估其与中老年人认知表现的关系。方法本横断面研究纳入了来自“通过社会驱动因素表征健康暴露的老龄化研究”(ARCHES)的334名参与者。认知表现评估采用临床前阿尔茨海默认知复合(PACC)。使用NuLISA™多重免疫分析平台定量血浆炎症生物标志物。探索性因子分析(EFA)(最小残留提取,oblimin旋转)确定了潜在的炎症因子,保留了负荷≥0.40的生物标志物。在调整了年龄、性别、教育程度和基因型状态的多变量线性回归模型中评估因子得分;敏感性分析调整了社会经济背景、药物使用、BMI、生活方式因素和临床诊断。进行了年龄分层和非线性样条分析。结果43个生物标志物中的27个形成了8因子结构,解释了43%的方差。两个因素与FDR矫正后的认知表现显著相关。因子4 (CCL4、CXCL1、S100A12)和因子5 (IL2、IL5、IL13、IL10、CSF2)与PACC评分呈负相关。这些关联在敏感性分析中保持一致。年龄分层分析显示,在45岁至45岁的参与者中,几种炎症因素与认知表现有关
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来源期刊
Journal of Alzheimer's Disease
Journal of Alzheimer's Disease 医学-神经科学
CiteScore
6.40
自引率
7.50%
发文量
1327
审稿时长
2 months
期刊介绍: The Journal of Alzheimer''s Disease (JAD) is an international multidisciplinary journal to facilitate progress in understanding the etiology, pathogenesis, epidemiology, genetics, behavior, treatment and psychology of Alzheimer''s disease. The journal publishes research reports, reviews, short communications, hypotheses, ethics reviews, book reviews, and letters-to-the-editor. The journal is dedicated to providing an open forum for original research that will expedite our fundamental understanding of Alzheimer''s disease.
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