用于预测孤立性快速眼动睡眠行为障碍患者表型转换的脑脊液生物标志物。

IF 5.3 2区 医学 Q1 CLINICAL NEUROLOGY Sleep Pub Date : 2024-01-11 DOI:10.1093/sleep/zsad198
Mariana Fernandes, Silvia Maio, Paolo Eusebi, Fabio Placidi, Francesca Izzi, Matteo Spanetta, Claudia De Masi, Clementina Lupo, Carmen Calvello, Marzia Nuccetelli, Sergio Bernardini, Nicola Biagio Mercuri, Claudio Liguori
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引用次数: 0

摘要

研究目的孤立性眼球快速运动睡眠行为障碍(iRBD)患者罹患神经退行性疾病的风险增加。本研究评估了iRBD患者与对照组相比的神经变性和血脑屏障(BBB)改变的脑脊液(CSF)生物标志物,并确定这些生物标志物是否可预测α-突触核蛋白病(帕金森病(PD)、路易体痴呆(DLB)、多系统萎缩(MSA))的表型转换:2012年至2016年期间,患者和对照组接受了神经学评估、腰椎穿刺进行脑脊液生物标志物分析(β-淀粉样蛋白42 - Aβ42、总tau和磷酸化tau)以及BBB改变(脑脊液/血清白蛋白比值)。对所有iRBD患者进行随访至2021年,然后将其分为转化为α-突触核蛋白病的患者(iRBD转化者,cRBD)和未转化为α-突触核蛋白病的患者(iRBD非转化者,ncRBD):34 名 iRBD 患者(平均年龄为 67.12 ± 8.14)和 33 名对照组患者(平均年龄为 64.97 ± 8.91)被纳入研究。随访期间(7.63 ± 3.40 年),8 名患者为 ncRBD,33 名患者为 cRBD:11 名患者转为 PD,10 名患者转为 DLB,2 名患者转为 MSA。与对照组相比,iRBD患者的脑脊液Aβ42水平较低,脑脊液/血清白蛋白比值较高。Cox 回归分析显示,表型转换率随运动障碍程度的增加而增加(危险比 [HR] = 1.23,p = 0.032)。CSF Aβ42水平可预测表型转化为DLB(HR = 0.67,p = 0.038),BBB改变可预测表型转化为PD(HR = 1.20,p = 0.038):本研究表明,低CSF Aβ42水平和高BBB改变可分别预测iRBD患者向DLB和PD的表型转换。这些发现突显了通过脑脊液生物标志物鉴别iRBD患者表型转换的可能性;然而,还需要进一步的研究。
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Cerebrospinal-fluid biomarkers for predicting phenoconversion in patients with isolated rapid-eye movement sleep behavior disorder.

Study objectives: Patients with isolated rapid-eye-movement sleep behavior disorder (iRBD) have an increased risk of developing neurodegenerative diseases. This study assessed cerebrospinal-fluid (CSF) biomarkers of neurodegeneration and blood-brain barrier (BBB) alteration in patients with iRBD compared to controls and ascertain whether these biomarkers may predict phenoconversion to alpha-synucleinopathies (Parkinson's Disease (PD), Dementia with Lewy bodies (DLB), Multiple System Atrophy (MSA)).

Methods: Patients and controls underwent between 2012 and 2016 a neurological assessment, a lumbar puncture for CSF biomarker analysis (β-amyloid42 - Aβ42; total-tau, and phosphorylated tau), and BBB alteration (CSF/serum albumin ratio). All patients with iRBD were followed until 2021 and then classified into patients who converted to alpha-synucleinopathies (iRBD converters, cRBD) or not (iRBD non-converters, ncRBD).

Results: Thirty-four patients with iRBD (mean age 67.12 ± 8.14) and 33 controls (mean age 64.97 ± 8.91) were included. At follow-up (7.63 ± 3.40 years), eight patients were ncRBD and 33 patients were cRBD: eleven converted to PD, 10 to DLB, and two to MSA. Patients with iRBD showed lower CSF Aβ42 levels and higher CSF/serum albumin ratio than controls. Cox regression analysis showed that the phenoconversion rate increases with higher motor impairment (hazard ratio [HR] = 1.23, p = 0.032). CSF Aβ42 levels predicted phenoconversion to DLB (HR = 0.67, p = 0.038) and BBB alteration predicted phenoconversion to PD (HR = 1.20, p = 0.038).

Discussion: This study showed that low CSF Aβ42 levels and high BBB alteration may predict the phenoconversion to DLB and PD in patients with iRBD, respectively. These findings highlight the possibility to discriminate phenoconversion in iRBD patients through CSF biomarkers; however, further studies are needed.

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来源期刊
Sleep
Sleep 医学-临床神经学
CiteScore
10.10
自引率
10.70%
发文量
1134
审稿时长
3 months
期刊介绍: SLEEP® publishes findings from studies conducted at any level of analysis, including: Genes Molecules Cells Physiology Neural systems and circuits Behavior and cognition Self-report SLEEP® publishes articles that use a wide variety of scientific approaches and address a broad range of topics. These may include, but are not limited to: Basic and neuroscience studies of sleep and circadian mechanisms In vitro and animal models of sleep, circadian rhythms, and human disorders Pre-clinical human investigations, including the measurement and manipulation of sleep and circadian rhythms Studies in clinical or population samples. These may address factors influencing sleep and circadian rhythms (e.g., development and aging, and social and environmental influences) and relationships between sleep, circadian rhythms, health, and disease Clinical trials, epidemiology studies, implementation, and dissemination research.
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