Hypometabolic mismatch with atrophy and tau pathology in mixed Alzheimer and Lewy body disease.

IF 10.6 1区 医学 Q1 CLINICAL NEUROLOGY
Brain Pub Date : 2024-11-22 DOI:10.1093/brain/awae352
Michael Tran Duong, Sandhitsu R Das, Pulkit Khandelwal, Xueying Lyu, Long Xie, Emily McGrew, Nadia Dehghani, Corey T McMillan, Edward B Lee, Leslie M Shaw, Paul A Yushkevich, David A Wolk, Ilya M Nasrallah
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引用次数: 0

Abstract

Polypathology is a major driver of heterogeneity in clinical presentation and extent of neurodegeneration (N) in patients with Alzheimer Disease (AD). Beyond amyloid (A) and tau (T) pathologies, over half of patients with AD have concomitant pathology such as α-synuclein (S) in mixed AD with Lewy Body Disease (LBD). Patients with Mixed Etiology Dementia (MED) such as AD+LBD have faster progression and potentially differential responses to targeted treatments, though the diagnosis of AD+LBD can be challenging given overlapping clinical and imaging features. Development and validation of improved in vivo biomarkers are required to study relationships between N and S and identify imaging patterns reflecting mixed AD+LBD pathologies. We hypothesize that individual proteinopathies, such as T and S, are associated with commensurate levels of N. Thus, we assessed biomarkers of A, T, N and S with positron emission tomography (PET), magnetic resonance imaging (MRI) and cerebrospinal fluid (CSF) seeding amplification assay (SAA) data to determine molecular presentations of mixed A+S+ vs. A+S- cognitively impaired patients from the Alzheimer's Disease Neuroimaging Initiative (ADNI). We found A+S+ patients had parieto-occipital 18F-Fluorodeoxyglucose hypometabolism (a measure of N) disproportionate to the degree of regional atrophy or T burden, highlighting worse hypometabolism associated with S+ SAA. Following up on this hypometabolic mismatch with CSF metabolite and proteome analyses, we found that A+S+ patients exhibited lower CSF levels of dopamine metabolites and synaptic markers like neuronal pentraxin-2 (NPTX2), suggesting that altered neurotransmission and neuron integrity contribute to this dissociation between metabolic PET and MRI. Potential confounders exist when studying relations between N, AD and LBD pathologies, including neuroinflammation and other non-Alzheimer pathologies in MED, though our findings imply posterior hypometabolic mismatch is related more to S than vascular or TDP-43 pathology. A+S+ patients had posterior mismatch with excessive 18F-Fluorodeoxyglucose hypometabolism relative to atrophy or T load, possibly reflecting impaired neuron integrity. Further research must disentangle the impact of multiple proteinopathies and clinicopathologic factors on hypometabolism and atrophy. Cumulatively, patients with mixed AD+LBD etiologies harbor a unique metabolic PET mismatch signature.

阿尔茨海默病和路易体混合病中的低代谢错配、萎缩和 tau 病理学。
多病理是阿尔茨海默病(AD)患者临床表现和神经变性程度(N)异质性的主要原因。除了淀粉样蛋白(A)和tau(T)病理变化外,半数以上的阿尔茨海默病患者还伴有α-突触核蛋白(S)等病理变化,如混合型阿尔茨海默病合并路易体病(LBD)。混合病因痴呆(MED)患者,如AD+LBD,病情进展较快,对靶向治疗的反应也可能不同,但由于临床和影像学特征重叠,AD+LBD的诊断可能具有挑战性。需要开发和验证改进的体内生物标记物,以研究N和S之间的关系,并确定反映AD+LBD混合病理的成像模式。因此,我们利用正电子发射断层扫描(PET)、磁共振成像(MRI)和脑脊液(CSF)播种扩增试验(SAA)数据评估了A、T、N和S的生物标志物,以确定阿尔茨海默病神经影像学倡议(ADNI)中A+S+与A+S-混合型认知障碍患者的分子表现。我们发现A+S+患者顶枕部18F-氟脱氧葡萄糖代谢低下(N的量度)与区域萎缩程度或T负荷不成比例,突出表明代谢低下与S+ SAA有关。通过对脑脊液代谢物和蛋白质组的分析,我们发现 A+S+ 患者的脑脊液中多巴胺代谢物和神经元五肽-2(NPTX2)等突触标记物水平较低,这表明神经传递和神经元完整性的改变导致了代谢 PET 和 MRI 之间的不匹配。在研究N、AD和LBD病理之间的关系时,存在潜在的混杂因素,包括MED中的神经炎症和其他非阿尔茨海默病病理,但我们的研究结果表明,后部低代谢错配与S的关系比与血管或TDP-43病理的关系更大。与萎缩或T负荷相比,A+S+患者的后部代谢失配与过度的18F-氟脱氧葡萄糖低代谢有关,这可能反映了神经元的完整性受损。进一步的研究必须厘清多种蛋白病和临床病理因素对代谢低下和萎缩的影响。综合来看,AD+LBD 混合病因患者具有独特的代谢 PET 错配特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Brain
Brain 医学-临床神经学
CiteScore
20.30
自引率
4.10%
发文量
458
审稿时长
3-6 weeks
期刊介绍: Brain, a journal focused on clinical neurology and translational neuroscience, has been publishing landmark papers since 1878. The journal aims to expand its scope by including studies that shed light on disease mechanisms and conducting innovative clinical trials for brain disorders. With a wide range of topics covered, the Editorial Board represents the international readership and diverse coverage of the journal. Accepted articles are promptly posted online, typically within a few weeks of acceptance. As of 2022, Brain holds an impressive impact factor of 14.5, according to the Journal Citation Reports.
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