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与健康对照组相比,识别重复性创伤性脑损伤后创伤相关神经退行性变的生物学特征。

Identifying a Biological Signature of Trauma-Related Neurodegeneration Following Repeated Traumatic Brain Injuries Compared with Healthy Controls.

作者信息

Eagle Shawn R, Puccio Ava, Svirsky Sarah, Mountz James, Laymon Charles, Borasso Allison, Henry Luke, Okonkwo David O

机构信息

Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

出版信息

Neurotrauma Rep. 2025 Jul 2;6(1):560-568. doi: 10.1089/neur.2025.0052. eCollection 2025.

Abstract

The objective of this study was to compare participants at-risk for trauma-related neurodegeneration to a healthy control group on outcomes associated with Alzheimer's disease (AD), such as subjective symptoms, neurocognitive performance, plasma biomarkers, volumetrics, amyloid-beta (Aβ) positron emission tomography (PET), and tau PET. Participants completed a comprehensive assessment protocol for neurodegenerative disease, including magnetic resonance imaging (MRI), PET scans for tau and Aβ, blood draw, subjective symptom reports related to neurodegenerative disease, and objective neurocognitive assessment. Surveys included the Neurobehavioral Symptom Inventory (NSI), Insomnia Severity Index (ISI), Epworth Sleepiness Severity (ESS), PTSD Checklist for DSM-5 (PCL-5), Brief Symptom Inventory-18 (BSI-18), Satisfaction with Life Scale (SWLS), Barratt Impulsivity Scale (BIS), and Buss Perry Aggression Questionnaire (BPAQ). PET scans were read by a neuroradiologist and rated positive or negative based upon established cutoffs. General linear models compared participants with TBI history with controls on outcomes. Age, years of education, military status, biological sex, race/ethnicity, and total self-reported TBIs were included as covariates in all models with Bonferroni corrections. Forward stepwise linear regression models were built to associate neuroimaging outcomes with symptom domains; inclusion in the linear regression required a value <0.1. The average age for both groups was ∼40 years. The TBI group reported an average of five TBIs; the control group reported an average of one TBI. Across seven regions of interest, only one TBI participant met established PET cutoffs for neuropathology in one cortical region. After controlling for age, sex, race/ethnicity, years of education, military status, and TBI history, there were no statistically significant differences between groups in any neurocognitive outcome ( = 0.06-0.95), Aβ or tau PET ( = 0.05-0.70), MRI volumetrics ( = 0.06-0.98), or plasma biomarkers ( = 0.06-0.85). The TBI group had higher NSI, PCL-5, BSI-18, BPAQ, ESS, and ISI scores compared with the controls ( < 0.001-0.042). Within the TBI group, amygdala normative percentile and/or amygdala asymmetry index were included in the final models for NSI, SWLS, PCL5, BIS, BPAQ, and ISI. Only two models included a statistically significant PET outcome in the final model. In this sample with a mean age of 40 and a history of 5+ TBIs, core diagnostic biomarkers for AD were not different from controls despite significantly higher symptom burden. Volumetrics in critical brain regions were associated with several symptom domains in the TBI group, indicating that cortical volumetrics (especially in the amygdala) may be a more viable early biomarker of chronic symptom burden in this population than PET scans.

摘要

本研究的目的是将有创伤相关神经退行性变风险的参与者与健康对照组在与阿尔茨海默病(AD)相关的结局方面进行比较,这些结局包括主观症状、神经认知表现、血浆生物标志物、体积测量、淀粉样β蛋白(Aβ)正电子发射断层扫描(PET)和tau PET。参与者完成了一项针对神经退行性疾病的综合评估方案,包括磁共振成像(MRI)、tau和Aβ的PET扫描、血液采集、与神经退行性疾病相关的主观症状报告以及客观神经认知评估。调查包括神经行为症状量表(NSI)、失眠严重程度指数(ISI)、爱泼华嗜睡量表(ESS)、DSM-5创伤后应激障碍检查表(PCL-5)、简明症状量表-18(BSI-18)、生活满意度量表(SWLS)、巴拉特冲动性量表(BIS)和布斯-佩里攻击性问卷(BPAQ)。PET扫描由神经放射科医生解读,并根据既定的临界值评定为阳性或阴性。一般线性模型将有创伤性脑损伤(TBI)病史的参与者与对照组在结局方面进行比较。年龄、受教育年限、军事状态、生物学性别、种族/族裔以及自我报告的TBI总数在所有模型中作为协变量,并进行了邦费罗尼校正。构建向前逐步线性回归模型以将神经影像学结局与症状领域相关联;纳入线性回归要求p值<0.1。两组的平均年龄约为40岁。TBI组报告平均有5次TBI;对照组报告平均有1次TBI。在七个感兴趣区域中,只有一名TBI参与者在一个皮质区域达到了既定的PET神经病理学临界值。在控制了年龄、性别、种族/族裔、受教育年限、军事状态和TBI病史后,两组在任何神经认知结局(p = 0.06 - 0.95)、Aβ或tau PET(p = 0.05 - 0.70)、MRI体积测量(p = 0.06 - 0.98)或血浆生物标志物(p = 0.06 - 0.85)方面均无统计学显著差异。与对照组相比,TBI组的NSI、PCL-5、BSI-18、BPAQ、ESS和ISI得分更高(p < 0.001 - 0.042)。在TBI组中,杏仁核规范百分位数和/或杏仁核不对称指数被纳入NSI、SWLS、PCL5、BIS、BPAQ和ISI的最终模型。最终模型中只有两个模型包含统计学显著的PET结局。在这个平均年龄为40岁且有5次以上TBI病史的样本中,尽管症状负担显著更高,但AD的核心诊断生物标志物与对照组并无差异。关键脑区的体积测量与TBI组的几个症状领域相关,表明皮质体积测量(尤其是杏仁核)在该人群中可能比PET扫描更有可能成为慢性症状负担的早期生物标志物。

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